Literature DB >> 36084119

Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: A feasibility study.

Maria Pantelidou1, Iztok Caglic1, Anne George2, Oleg Blyuss3,4,5, Vincent J Gnanapragasam2,6,7, Tristan Barrett1.   

Abstract

PURPOSE: To investigate the accuracy of surface-based ultrasound-derived PSA-density (US-PSAD) versus gold-standard MRI-PSAD as a risk-stratification tool.
METHODS: Single-centre prospective study of patients undergoing MRI for suspected prostate cancer (PCa). Four combinations of US-volumes were calculated using transperineal (TP) and transabdominal (TA) views, with triplanar measurements to calculate volume and US-PSAD. Intra-class correlation coefficient (ICC) was used to compare US and MRI volumes. Categorical comparison of MRI-PSAD and US-PSAD was performed at PSAD cut-offs <0.15, 0.15-0.20, and >0.20 ng/mL2 to assess agreement with MRI-PSAD risk-stratification decisions.
RESULTS: 64 men were investigated, mean age 69 years and PSA 7.0 ng/mL. 36/64 had biopsy-confirmed prostate cancer (18 Gleason 3+3, 18 Gleason ≥3+4). Mean MRI-derived gland volume was 60 mL, compared to 56 mL for TA-US, and 65 mL TP-US. ICC demonstrated good agreement for all US volumes with MRI, with highest agreement for transabdominal US, followed by combined TA/TP volumes. Risk-stratification decisions to biopsy showed concordant agreement between triplanar MRI-PSAD and ultrasound-PSAD in 86-91% and 92-95% at PSAD thresholds of >0.15 ng/mL2 and >0.12 ng/mL2, respectively. Decision to biopsy at threshold >0.12 ng/mL2, demonstrated sensitivity ranges of 81-100%, specificity 85-100%, PPV 86-100% and NPV 83-100%. Transabdominal US provided optimal sensitivity of 100% for this clinical decision, with specificity 85%, and transperineal US provided optimal specificity of 100%, with sensitivity 87%.
CONCLUSION: Transperineal-US and combined TA-TP US-derived PSA density values compare well with standard MRI-derived values and could be used to provide accurate PSAD at presentation and inform the need for further investigations.

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Year:  2022        PMID: 36084119      PMCID: PMC9462719          DOI: 10.1371/journal.pone.0274014

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

Prostate cancer (PCa) accounts for almost 1-in-5 of all new male cancer diagnoses [1], with the incidence of the disease expected to double by 2030 in part due to the ageing population [2]. The adoption of prostate-specific antigen (PSA) test for screening symptomatic patients in the mid-1990s dramatically changed the profile of PCa patients, with trends towards detection of lower grade disease, including clinically insignificant tumours [3]. A raised PSA level only has a 30% positive predictive value for cancer [4] and is more commonly associated with benign prostatic hypertrophy (BPH), conversely, 37% of men with a PSA reading in the normal range of 2.5–4 ng/ml still harbour prostate cancer [5], thus PSA screening is not routinely recommended [6]. Prostate multiparametric (mp) MRI can aid the diagnostic process by avoiding biopsy when negative in low-risk patients and in directing biopsy to suspicious targets when positive, and is now recommended within international and European guidelines as the initial diagnostic step for men with suspected PCa [7, 8]. MRI has a high negative predictive value for the presence of clinically significant (cs) PCa and can help avoid biopsy in 27–49% of patients [9-12]. However, MRI is an expensive resource and there is increasing pressure on MRI services to provide rapid access to MRI and prompt reporting times, in the face of ever increasing demand [13]. Given that a high proportion of mpMRI studies are negative, a triage step that could safely avoid such imaging in a proportion of patients would be desirable. PSA-density based on MRI-derived prostate volumes has been shown to be a more reliable biomarker than PSA alone [14-16]. In addition, PSA-density is now considered an integral part of the biopsy decision making process, with a recent consensus paper stating that PSA-density should be used to help avoid biopsy when MRI is negative and to augment the decision-making process when MRI findings are equivocal [17]. However, prostate gland volume can also be derived from other imaging modalities including ultrasound (US) which, although operator-dependent, is relatively inexpensive, quick to perform, and widely available. To date, however, most studies comparing US with MRI have employed transrectal ultrasound which while is invasive and intrusive for patients. A more acceptable alternative is surface-based US with images acquired via either the abdomen or perineum. The aim of this study was therefore to investigate how well surface-based US-derived PSA-density performs in comparison to the gold-standard of MRI-derived PSA-density and whether it could be used in clinical practice as a risk-stratification and triage tool for deciding whether patients require urgent MR imaging or could safely avoid further investigations.

Methods

This was a single tertiary centre prospective cohort feasibility study, with written informed consent obtained from all participants. All elements of this prospective study were carried out in accordance with the Declaration of Helsinki and were approved by the institutional ethics board (NRES Committee East of England, UK, ref: NRES 03/018), with written informed consent obtained from all participants. All methods were performed in accordance with the relevant guidelines and regulations. The inclusion criteria for the study were men having a prostate MRI for suspected prostate cancer and subsequently undergoing prostatic biopsy, regardless of whether cancer was present on biopsy. Exclusion criteria were a clinical diagnosis of prostatitis and/or abscess, presence of hip metalwork, and/or any previous treatment for prostate cancer. 65 participants were recruited, with one patient excluded due to loss of imaging data transfer to PACS. The primary outcome of the study was to compare US-derived prostate volume with MRI prostate volume and thus determine the accuracy of surface-based US-derived PSA-density values. The secondary outcome was to derive relevant US PSA-density cut-off values that could be applied in clinical practice to predict the need for biopsy and/or presence of significant PCa.

Ultrasound imaging

All scans were performed on a standard commercially available ultrasound machine (Toshiba Aplio XG), using a low frequency curvilinear abdominal transducer. All patients were scanned with a full-bladder by a single, experienced uro-radiologist. Two standard ultrasound views were performed: trans-perineal (TP) and trans-abdominal (TA). For each view, three orthogonal measurements were acquired and used to calculated the US-derived prostatic volume: right-to-left (axial 1), antero-posterior (axial 2) and cranio-caudal (sagittal) ().

Ultrasound views obtained.

Transabdominal views in the transverse/axial (A) and longitudinal/sagittal (B) planes. Transperineal views in the longitudinal/sagittal (C) and transverse/coronal planes (D). Lines represent “Axial 1” measurements (right to left), dashed lines represent “Axial 2” measurements (anterior-posterior), arrowed lines represent Sagittal measurements.

MRI imaging

3T-MRI (MR750, GE Healthcare) was performed for all participants using a 32-channel phased-array coil. The following sequences were acquired: T2-weighted 2D fast recovery FSE images in axial, sagittal and coronal planes and sagittal T2 3D FSE sequences, axial T1-weighted imaging: TR/TE 561/11 ms, FOV 24 × 24 cm, resolution 1.1 × 1.0 mm; axial diffusion-weighted imaging (DWI) dual spin echo-planar imaging and axial 3D dynamic contrast–enhanced (DCE) imaging following a bolus of Gadobutrol (Gadovist, Bayer). The T2-weighted imaging was used to derive prostate volume data.

Imaging analysis

Four different US-derived prostatic gland volumes were derived, using transabdominal (TA) and transperineal (TP) views: US-TA volume, US-TP volume, and using two combinations of TA and TP volumes, US-TA-TP volume and US-TP-TA, respectively, to overcome shadowing from the pubis bone (). US TA-TP was derived using the Axial 1 and Axial 2 measurements of derived from transabdominal views and combined with the sagittal measurement acquired transperineally (). US-TP-TA was derived using the axial 1 transabdominal measurement combined with the Axial 2 and sagittal measurements acquired transperineally. MRI volume was calculated using triplanar measurements derived from the axial and sagittal T2-weighted sequences, following the PI-RADS version 2.1 guidelines ellipsoid formulation; calculated using (maximum AP dimension) x (maximum longitudinal dimension) [both placed on the mid-sagittal T2W image] x (maximum transverse dimension) [placed on the axial T2W image] x 0.52 [18]. MRI volume was additionally calculated using whole gland segmentation software (DynaCAD Prostate™, Philips). All US and MRI-derived measurements were performed by two experienced uroradiologists independently, and blinded to any clinical details.

Example Transabdominal (TA) and Transperineal (TP) US views.

Axial (A) and sagittal (D) MR images. B, E: TA ultrasound views from the same patient in the axial (B) and sagittal planes (E). C, F: TP ultrasound views in the axial (C) and sagittal planes (F). The sagittal TA US view (E) has shadowing from the pubis bone overlying the prostatic apex, which may affect measurement accuracy, conversely shadowing affects the axial view of TP imaging (C).

Statistics

A two-way mixed effects model intra-class correlation coefficient (ICC) was used to measure how closely the US derived prostate volumes (TA, TP, TA/TP and TP-TA) compared to the gold-standard triplanar MRI-derived prostate volume and to assess inter-rater agreement [19]. ICC values were defined as indicating poor (<0.5), moderate (0.5–0.75), good (0.75–0.90) and excellent reliability (>0.90) [20]. We considered any cases with more than 50% percentage difference between the MRI- and any of the US- derived prostate volumes as outliers. Bland-Altman Agreement was also used to measure how closely the US derived prostate volumes (TA, TP, TA/TP and TP-TA) compared to the gold-standard MRI-derived prostate volume. Categorical comparison was made between MRI PSA-density (MRI-PSAD) and each US-PSAD at three PSAD thresholds based on prior literature [14, 17, 21]: <0.15, 0.15–0.20, >0.20 ng/mL2 in order to ascertain whether each US-PSAD was in agreement with the MRI-PSAD decision on risk stratification. In addition, a PSA-Categorical comparison was made between the MRI PSA-density and each of the four US derived PSA-densities at these PSAD cut-off values in order to ascertain whether each US-derived PSA density would be in agreement with the MRI derived PSA-density and the theoretical decision of whether to perform biopsy or not.

Results

64 patients completed the study, with a mean age of 69 years (IQR: 64–73), mean PSA of 7.0 ng/mL (IQR: 5–9 ng/mL), and mean BMI of 27 (IQR: 24–29); . 36/64 (56.3%) patients had biopsy-confirmed prostate cancer: 18 Grade Group 1, 15 Grade Group 2, and three Grade Group ≥3.

Prostate volumetric analysis

The mean volumetric segmentation-derived MRI prostate volume was 60 mL (IQR: 40–76 mL). The mean triplanar MRI-derived prostate volume was 61 mL (IQR: 39–79 mL). The average US derived volumes were 56 mL (IQR: 34–75 mL) for TA, 65 mL (46–71 mL) for TP, 66 mL (42–82 mL) for TA/TP, and 67 mL (46–80 mL) for TA-TP.

ICC agreement between US and MRI-derived gland volumes

ICC revealed good agreement between radiologist-measured, clinical standard triplanar MRI-volume versus the gold-standard volumetric derived segmentation-derived MRI volumes (ICC 0.965; ). Good agreement was demonstrated between all US derived prostate volumes and the gold-standard MRI-derived volumes calculated using 3-plane measurements, with highest ICC for US TA and US TA/TP Volume at 0.873 (95% CI: 0.798–0.921) and 0.874 (95% CI: 0.755–0.931), respectively. The lowest level of agreement was demonstrated for US TP Volume at 0.776 (95% CI: 0.654–0.858) (). A maximum of 3/64 cases lay outside the 95% confidence interval (CI) of agreement lines.

ICC inter-rater agreement

Excellent inter-reader agreement was shown for readers’ MRI and US-derived prostate volumes, with the greatest agreement noted between US-TA/TP and US TA volumes at 0.977 (95% CI: 0.959–0.987) and 0.963 (0.916–0.981), respectively (). 6/64 cases showed ≥50% percentage difference between the MRI-derived volume and at least one of the US-derived calculations and could be considered as relative outliers. Out of these, two patients had a BMI of >30, with one further patient noted to have a defect due to a previous transurethral resection of the prostate (TURP) procedure, limiting the accuracy of the segmentation-derived volume (Figs ).

TURP defect affects measurements.

Axial (A) and coronal (B) T2-weighted images show TURP defect at the base of the gland, with corresponding transverse transabdominal US image (C). MRI triplanar and segmentation volumes will differ, and sagittal US measurements will vary depending if the gland is measured in the midline position, or more laterally.

Limited views due to patient body habitus.

MRI Axial T1-weighted image (A) shows depth of prostate; corresponding sagittal T2-weighted image of the prostate (B). C: Transabdominal transverse imaging is limited (calipers outline prostate). D: Transperineal sagittal views more clearly demonstrate the prostate.

Bland Altman agreement between US and MRI-derived gland volumes

Good agreement was demonstrated between all US derived prostate volumes and gold-standard MRI-derived volumes calculated using whole gland segmentation software. A maximum of 3/64 cases lay outside the 95% confidence interval (CI) of agreement lines, with the highest agreement demonstrated between MRI and US-derived prostate volumes using either combined TA-TP or transperineal alone volumes (). Good inter-reader agreement was shown for readers’ MRI and US-derived prostate volumes, with the greatest agreement noted between US-TP and US TP-TA volumes. Poorest agreement was demonstrated for the US-TA volumes ().

Categorical comparison between MRI and US derived PSA-density

When evaluating the three PSA-density categories of <0.15 ng/mL2, 0.15–0.20 ng/mL2 and >0.20 ng/mL2, agreement was demonstrated between triplanar-derived MRI-PSAD and US-PSAD in 83–88% of cases, with highest agreement for TA/TP US-PSAD (). Simplifying this to a decision to biopsy or not at a PSA-density threshold of >0.15 ng/mL2, US PSAD matched the MR decision in 86–91% of cases with the TP-TA US-PSAD performing best. Given that the ultrasound-derived measurements tended to over-estimate prostatic volume, we applied a lower, and clinically more conservative threshold of 0.12 ng/mL2 for a decision to proceed to biopsy. This resulted in an increased agreement with the MRI-equivalent decision of 92–95% of cases with highest agreement for transabdominal US-PSAD (). Sensitivity, specificity, positive and negative predictive values were calculated for a matched decision to proceed to biopsy or not based on MRI PSAD and each U/S-derived PSAD at thresholds of >0.15 ng/mL2 () and > 0.12 ng/mL2 () respectively. At a biopsy threshold of >0.15 ng/mL2, sensitivity ranged between 74–78% and specificity 98%-100%, PPV ranged between 96%-100% and NPV 88%-100%, with the optimal results obtained by the US TA views, with a sensitivity of 100% and specificity 98%. At a biopsy threshold of >0.12 ng/mL2 sensitivity ranged between 81–100%, specificity 85–100%, PPV 86–100% and NPV between 83–100%. Prioritizing sensitivity, US TA had optimal sensitivity of 100%, with a specificity of 85%, and when maximizing specificity, US TP was optimal with sensitivity of 87% and specificity 100%.

Discussion

Our results demonstrate good overall agreement between surface-based US-derived and prostate volumes compared to MRI measurements with the greatest agreement shown between TA and TA/TP US views and MRI volume. We also demonstrate that risk-stratified decisions to biopsy based on US-derived PSAD thresholds strongly agree with MRI-derived measurements and therefore show potential for use as an initial point-of-care clinical test for either triaging MRI urgency at higher PSAD thresholds, or for avoiding the need for further investigations at lower thresholds. The results are encouraging as US is relatively inexpensive, readily available and non-invasive, and transabdominal scanning is a core sonographic skill [22]. Digital rectal examination estimated prostate size is known to lack accuracy, significantly underestimating prostate volume, particularly for larger glands, and cannot be used to derive measurements clinically [23]. MRI has been shown to be more accurate in volume assessment compared to transrectal US (TRUS) volumes estimated by urologists at the time of biopsy [24]. However, to our knowledge, no study has yet assessed PSA-density derived from the less invasive transabdominal or transperineal US approaches, and when performed by experienced radiologists. Ozden, et al compared transabdominal US and TRUS sagittal, transverse and AP prostatic diameters, finding a strong correlation between the two techniques, with the greatest correlation demonstrated for sagittal views [25]. Likewise, Pate, et al found that prostate transabdominal volume showed good agreement with TRUS volume and could be used interchangeably when the prostate volume was less than 30 mL, however, for larger glands, the authors recommend cross-sectional imaging for more accurate assessment [26]. Moreover, a recent systematic review comparing TRUS, CT and MRI prostatic volume measurements showed MRI as the optimal technique for deriving prostate volume [27]. Paterson, et al confirm these findings by demonstrating a better correlation of MRI prostate volume than TRUS using prostatectomy as the gold standard [24]. Despite its clinical utility, pre-biopsy prostate MRI is experience and quality dependent [28-30] and has ongoing limitations, leading to unnecessary, negative biopsies in around a third of patients [9-12], missing up to 20% of clinically significant cancers, and over-detecting insignificant lesions in around 10% of patients [13, 31–33]. However, MRI-derived PSA-density, which adjusts the PSA levels proportionate to gland size is emerging as a useful clinical biomarker, with a threshold of 0.15 ng/mL2 suggested as a diagnostic cut-off that could be used to avoid help biopsy in selected patients [17]. MRI is an expensive and relatively scarce resource, therefore rationalizing use of such imaging would be of great clinical benefit. We investigated the agreement between MRI-PSA density and US-derived PSA density at the clinically meaningful threshold of >0.15 ng/ml2 and subsequently the more conservative threshold of >0.12 ng/ml2, also in part informed by the trend towards volume over-estimation with US. The results suggest that US-derived PSA density-based decisions for biopsy match the MRI-derived decision most closely with US-TA views at a biopsy threshold of >0.15 and with either TP or TA views at a biopsy threshold of >0.12 depending whether sensitivity of specificity is maximized. Higher sensitivity is likely to be more of a clinical priority for decisions to biopsy, and this is provided by transabdominal views alone, likely due to the propensity to under-estimate gland volume and therefore “falsely increase” PSA density. However, transperineal views either alone or in combination with transabdominal views may be of benefit in certain clinical circumstances, because the views are relatively independent of the degree of bladder filling and the body habitus of the patient. Transabdominal US provides excellent views in the axial plane, however, sagittal measurements may be compromised by shadowing from the pubic bones at the level of the prostatic apex (), conversely transperineal US sagittal views are unaffected by this when scanning across the symphysis pubis, however, the right-left axial measurements are significantly compromised by pubic bone shadowing, leading to an overall poorer performance. Our study has some limitations, including the relatively small sample size. We chose to compare US-derived measured to the clinical standard of triplanar MRI measurements rather than MRI segmentation derived prostate volumes. This matches current PI-RADS guidelines recommendations, given that segmentation can be time-consuming and software is not widely available [34]. Slight differences between triplanar and MRI volumetric measurements are not unexpected, as the ellipsoid formula assumes a regularly deformed sphere, however, asymmetrical BPH will lead to an over-estimation with this methodology, consistent with our findings [14, 35]. Further small differences may be observed if using PI-RADS version 2, rather than our chosen methodology of PI-RADS v2.1 [36]. TZ volume-derived may show better correlation to clinical outcomes compared to whole gland volume PSA-density [37], however, there is a close relationship between age-related increases in both [38], TZ volume is more challenging to quantify at US, and whole gland volumes are more widely accepted in clinical practice [17]. US image-acquisition quality is operator-dependent and, in particular for the more specialist technique of transperineal acquisition, performed by uro-radiologists; this may not be available in all healthcare settings, and may therefore affect the generalizability of our results. More studies are needed to evaluate whether these results can be replicated by non-specialist radiologists or sonographers, and whether there is potential for future translation into a primary care setting. Despite the prospective study design, the results of the study did not influence clinical decision-making. It should also be noted that in the clinical setting PSAD is used alongside MRI findings and therefore may be insufficient alone to avoid MRI, and prospective studies would be required to evaluate US-derived PSAD measurements against clinical outcomes and the decision to biopsy. It may also be possible to combine US-PSAD with blood or urine biomarkers, such as PHI to further augment a risk-stratified clinical decision process [39]. US did not always provide accurate measurements, however, we found this was often predictable, for instance in patients undergoing a prior TURP procedure, or having a high BMI. It should be noted that post-TURP gland volumes may also be over-estimated by MRI segmentation software of triplanar measurements, however, this is not a limitation of MR imaging itself, rather the measuring technique employed. In conclusion, we demonstrate that surface-based US-derived PSA density has good agreement with MRI-derived values and with the clinical risk-stratified decision for biopsy, and offers potential for supplementing clinical decision-making to triage patients to undergo urgent MR imaging or even avoid unnecessary MRI in selected patients.

Bland-Altman agreement of US-derived TP versus MRI-derived prostate volume.

The middle solid line represents the mean agreement difference between MRI and US TP volumes, the lower line represents the lower limit of agreement between the two techniques ([mean– 1.96 standard deviation (SD) and the upper line represents the upper limit of agreement ([mean + 1.96 SD)] between the two techniques. (TIF) Click here for additional data file.

Bland-Altman agreement of US-derived TA versus MRI-derived prostate volume.

The middle solid line represents the mean agreement difference between MRI and US TP volumes, the lower line represents the lower limit of agreement between the two techniques ([mean– 1.96 standard deviation (SD) and the upper line represents the upper limit of agreement ([mean + 1.96 SD)] between the two techniques. (TIF) Click here for additional data file. 17 May 2022
PONE-D-22-06966
Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: a feasibility study
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The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In the present study, the authors evaluate the accuracy of surface-based ultrasound-derived PSAD metrics compared to MRI. The patients were prospectively recruited, but no prospective clinical decision making was performed based on the novel data. The authors used MRI-ellipsoid-derived measurements rather than the volumetric segmentation in order to better reflect the clinical routine. The study is well written and a pleasure to read. The results are presented in a concise fashion. For a first small pilot study, it is methodologically sound. I only have a few minor points which should be addressed prior to publication: 1. In accordance with PLOS ONE policy, the authors should make their raw data available with this study. At least, this should be a CSV file containing all the measurements and volumes of all subject. Though sharing the image data on a public repository such as XNAT is usually desirable, it may not be needed for a small pilot study such as this one. 2. Could the authors explicitly specify how the triplanar measurement was performed on MRI? (presumably according to PI-RADS 2.1 recommendations?) This has a small influence on the volume estimate (see Ghafoor et al., 10.1016/j.acra.2020.07.027) 3. The authors could add Bland-Altman plots, which would make it easy for the reader to visually grasp the disagreement between the methods (residual error may be heteroscedastic) 4. If the authors see any additional value in it, they could either just discuss or even perform post hoc estimation of the TZ volume and TZPSAD, which may be slightly superior to whole gland PSAD (see Schneider et al, 10.1016/j.ejrad.2019.108660). 5. Re "limiting the accuracy of the segmentation-derived volume" [Results; p14]: This is rather an expression of the limited functionality of the software used than a true limitation of MRI. TURP defects are well delineated on T2w imaging. With state-of-the-art software such as ImageJ, accurate segmentations can still be provided. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Anton S. Becker, MD, PhD [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
25 May 2022 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. Thank you for stating the following in the Acknowledgments Section of your manuscript: “This research was supported by the National Institute of Health Research Cambridge Biomedical Research Centre (BRC-1215-20014). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The authors also acknowledge support from Cancer Research UK (Cambridge Imaging Centre grant number C197/A16465), the Engineering and Physical Sciences Research Council Imaging Centre in Cambridge and Manchester and the Cambridge Experimental Cancer Medicine Centre.” We note that you have provided additional information within the Acknowledgements Section that is not currently declared in your Funding Statement. Please note that funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. We have removed this from the Acknowledgements section. The funding section included all relevant funding and has been left unchanged. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: We have removed tis text from the manuscript. “This research was supported by the National Institute of Health Research Cambridge Biomedical Research Centre (BRC-1215-20014). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The authors also acknowledge support from Cancer Research UK (Cambridge Imaging Centre grant number C197/A16465), the Engineering and Physical Sciences Research Council Imaging Centre in Cambridge and Manchester and the Cambridge Experimental Cancer Medicine Centre. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.” Please see above. No change required. Please include your amended statements within your cover letter; we will change the online submission form on your behalf. 3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability. We have uploaded the dataset file on https://data.mendeley.com/, with the appropriate original data file relevant to this study (DOI:10.17632/2bvdcspxx2.1); it can be accessed via https://data.mendeley.com/datasets/2bvdcspxx2/1 Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized. We have uploaded the dataset file on https://data.mendeley.com/, with the appropriate original data file relevant to this study. Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access. Not applicable. We will update your Data Availability statement to reflect the information you provide in your cover letter. 4. We note you have included a table to which you do not refer in the text of your manuscript. Please ensure that you refer to Table 6 and 7 in your text; if accepted, production will need this reference to link the reader to the Table. The reference to the table had been combined within the text as “ (Tables 6, 7) ”. For added clarity we have changed this to: “PSAD at thresholds of >0.15 ng/mL2 (Table 6) and > 0.12 ng/mL2 (Table 7), respectively.” 5. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files. The change has been made. 6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. No changes have been made, other than in response to the reviewer’s comments – the relevant changes to the reference are apparent on the tracked version of the resubmitted document. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ________________________________________ 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ________________________________________ 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No We have uploaded the dataset file on https://data.mendeley.com/, with the appropriate original data file relevant to this study. ________________________________________ 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ________________________________________ 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In the present study, the authors evaluate the accuracy of surface-based ultrasound-derived PSAD metrics compared to MRI. The patients were prospectively recruited, but no prospective clinical decision making was performed based on the novel data. The authors used MRI-ellipsoid-derived measurements rather than the volumetric segmentation in order to better reflect the clinical routine. The study is well written and a pleasure to read. The results are presented in a concise fashion. For a first small pilot study, it is methodologically sound. I only have a few minor points which should be addressed prior to publication: 1. In accordance with PLOS ONE policy, the authors should make their raw data available with this study. At least, this should be a CSV file containing all the measurements and volumes of all subject. Though sharing the image data on a public repository such as XNAT is usually desirable, it may not be needed for a small pilot study such as this one. Please see above, we have uploaded the dataset file on https://data.mendeley.com/, with the appropriate original data file relevant to this study (DOI:10.17632/2bvdcspxx2.1); it can be accessed via https://data.mendeley.com/datasets/2bvdcspxx2/1 2. Could the authors explicitly specify how the triplanar measurement was performed on MRI? (presumably according to PI-RADS 2.1 recommendations?) This has a small influence on the volume estimate (see Ghafoor et al., 10.1016/j.acra.2020.07.027) This was following the PI-RADS version 2.1 guidelines ellipsoid formulation. We have clarified this in the methodology as below, and used the relevant PI-RADS v2.1 reference. “…following the PI-RADS version 2.1 guidelines ellipsoid formulation; calculated using (maximum AP dimension) x (maximum longitudinal dimension) [both placed on the mid-sagittal T2W image] x (maximum transverse dimension) [placed on the axial T2W image] x 0.52 [Ref].” We have also mentioned the potential for differences between v2.0 and v2.1 in the limitations section and referenced the suggested paper. 3. The authors could add Bland-Altman plots, which would make it easy for the reader to visually grasp the disagreement between the methods (residual error may be heteroscedastic) We have now performed a Bland-Altman Agreement, detailed in the methods and results with representative supplemental figures uploaded. Added: Methods: “Bland-Altman Agreement (BAA) was also used to measure how closely the US derived prostate volumes (TA, TP, TA/TP and TP-TA) compared to the gold-standard MRI-derived prostate volume.” Results: “Good agreement was demonstrated between all US derived prostate volumes and gold-standard MRI-derived volumes calculated using whole gland segmentation software. A maximum of 3/64 cases lay outside the 95% confidence interval (CI) of agreement lines, with the highest agreement demonstrated between MRI and US-derived prostate volumes using either combined TA-TP or transperineal alone volumes (Supplemental Figure 1). Good inter-reader agreement was shown for readers’ MRI and US-derived prostate volumes, with the greatest agreement noted between US-TP and US TP-TA volumes. Poorest agreement was demonstrated for the US-TA volumes (Supplemental Figure 2).” 4. If the authors see any additional value in it, they could either just discuss or even perform post hoc estimation of the TZ volume and TZPSAD, which may be slightly superior to whole gland PSAD (see Schneider et al, 10.1016/j.ejrad.2019.108660). While TZ volume may better show better correlation, both whole gland (WG) volume and TZ volume show a similar increase with age (Bura, et al Eur Radiol. 2021;31(7):4908-4917), allowing for the confounding factor of an enlarged TZ variably causing compression of the PZ to differing degrees between patients. Furthermore, the TZ cannot be reliably assessed with Ultrasound (especially retrospectively in this cohort), and WG derived PSA-density is currently more widely used in clinical practice. We have added these references and paraphrased this discussion within the limitations. 5. Re "limiting the accuracy of the segmentation-derived volume" [Results; p14]: This is rather an expression of the limited functionality of the software used than a true limitation of MRI. TURP defects are well delineated on T2w imaging. With state-of-the-art software such as ImageJ, accurate segmentations can still be provided. The MRI volumetric measurements were considered accurate and rather it was the US measurements that were problematic, however, the reviewer’s comment is noted and we have added this to the discussion section. ________________________________________ 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Anton S. Becker, MD, PhD [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. Submitted filename: Response to Reviewers Comments.docx Click here for additional data file. 22 Aug 2022 Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: a feasibility study PONE-D-22-06966R1 Dear Dr. Barrett, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Pascal A. T. Baltzer, M.D. Academic Editor PLOS ONE Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: All comments have been addressed. Agree with the reply. Congratulations on this well written manuscript! ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Anton S. Becker, MD, PhD ********** 1 Sep 2022 PONE-D-22-06966R1 Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: a feasibility study Dear Dr. Barrett: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Pascal A. T. Baltzer Academic Editor PLOS ONE
Table 1

US views acquired for deriving prostate volumes.

ViewAxial 1 (R-L)Axial 2 (A-P)Cranio-caudal
TA USTransabdominalTransabdominalTransabdominal
TP USTransperinealTransperinealTransperineal
TA/TPTransabdominalTransabdominalTransperineal
TP-TA USTransabdominalTransperinealTransperineal
Table 2

Patient demographics.

Characteristic
Patient age, years (IQR)69 (64–73)
PSA level, ng/mL (IQR)7.0 (5.0–9.0)
BMI (IQR)27.0 (24.0–29.0)
Biopsy outcome
Negative28 (43.8%)
Gleason 3+318 (28.1%)
Gleason 3+415 (23.4%)
Gleason ≥4+33 (4.7%)
Table 3

Intraclass correlation coefficient (ICC) agreement between MRI-derived and US-derived prostate volumes.

AnalysisICC (95% CI)
3-plane MRI vs MRI Volumetric (Dynacad)0.965 (0.942–0.978)
3-plane MRI vs US TA Volume0.873 (0.798–0.921)
3-plane MRI vs US TP Volume0.776 (0.654–0.858)
3-plane MRI vs US TA/TP Volume0.874 (0.755–0.931)
3-plane MRI vs TA-TP Volume0.847 (0.709–0.915)
Table 4

Intraclass correlation coefficient (ICC) inter-observer agreement for MRI- and US- derived prostate volumes.

AnalysisICC (95% CI)
3-plane MRI Volume0.984 (0.974–0.99)
US TA Volume0.963 (0.916–0.981)
US TP Volume0.903 (0.84–0.941)
US TA/TP Volume0.977 (0.959–0.987)
US TA-TP Volume0.913 (0.856–0.947)
Table 5

Categorical comparison of MRI and US-derived PSA-density (PSA-D) at different biopsy thresholds of <0.15 ng/mL2, 0.15–0.20 ng/mL2 and >0.20 ng/mL2) and agreement to biopsy or not at PSA-density thresholds of 0.15 ng/mL2 and 0.12 ng/mL2.

US-agreement with MRI volume at PSA-D categoriesUS-MRI agreement at PSA-D threshold 0.15 ng/mL2US-MRI agreement at PSA-D threshold 0.12 ng/mL2
TA US-PSA density 53/64 (83%)55/64 (86%)61/64 (95%)
TP US-PSA density 54/64 (84%)56/64 (88%)60/64 (94%)
TA/TP US-PSA density 56/64 (88%)56/64 (88%)59/64 (92%)
TP-TA US-PSA density 54/64 (84%)58/64 (91%)59/64 (92%)
Table 6

Sensitivity, Specificity, Positive predictive value (PPV), Negative predictive value (NPV) between MRI-PSA density and each US PSA density for the decision to biopsy at PSA threshold >0.15 ng/mL2.

SensitivitySpecificityPPVNPV
TA US-PSA density 100%98%96%100%
TP US-PSA density 91%100%100%95%
TA/TP US-PSA density 74%100%100%88%
TP-TA US-PSA density 78%100%100%89%
Table 7

Sensitivity, Specificity, Positive predictive value (PPV), Negative predictive value (NPV) between MRI-PSA density and each US PSA density for the decision to biopsy at PSA threshold >0.12 ng/mL2.

SensitivitySpecificityPPVNPV
TA US-PSA density 100%85%86%100%
TP US-PSA density 87%100%100%89%
TA/TP US-PSA density 84%100%100%87%
TP-TA US-PSA density 81%100%100%83%
  37 in total

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