Literature DB >> 30941221

How Accurately Can Prostate Gland Imaging Measure the Prostate Gland Volume? Results of a Systematic Review.

David R H Christie1,2, Christopher F Sharpley2.   

Abstract

AIM: The measurement of the volume of the prostate gland can have an influence on many clinical decisions. Various imaging methods have been used to measure it. Our aim was to conduct the first systematic review of their accuracy.
METHODS: The literature describing the accuracy of imaging methods for measuring the prostate gland volume was systematically reviewed. Articles were included if they compared volume measurements obtained by medical imaging with a reference volume measurement obtained after removal of the gland by radical prostatectomy. Correlation and concordance statistics were summarised.
RESULTS: 28 articles describing 7768 patients were identified. The imaging methods were ultrasound, computed tomography, and magnetic resonance imaging (US, CT, and MRI). Wide variations were noted but most articles about US and CT provided correlation coefficients that lay between 0.70 and 0.90, while those describing MRI seemed slightly more accurate at 0.80-0.96. When concordance was reported, it was similar; over- and underestimation of the prostate were variably reported. Most studies showed evidence of at least moderate bias and the quality of the studies was highly variable. DISCUSSION: The reported correlations were moderate to high in strength indicating that imaging is sufficiently accurate when quantitative measurements of prostate gland volume are required. MRI was slightly more accurate than the other methods.

Entities:  

Year:  2019        PMID: 30941221      PMCID: PMC6420971          DOI: 10.1155/2019/6932572

Source DB:  PubMed          Journal:  Prostate Cancer        ISSN: 2090-312X


1. Introduction

There are many clinical situations in in the management of prostate diseases in which the measurement of the prostate gland volume (PGV) has a role [1-3]. For some of these the measurement does not need a high level of accuracy and simply detecting that the prostate is enlarged can be sufficient. For example, if a general practitioner is considering the choice of medication when treating benign prostatic hyperplasia (BPH), more precise measurements of the PGV may be required in other situations, for example, to calculate prostate specific antigen (PSA) density. For radiation oncologists, the PGV is used to determine the suitability of prostate cancer patients for low dose rate brachytherapy and the number of brachytherapy seeds to order. In those situations, a more accurate measure of the PGV is required and is usually obtained by medical imaging methods. A number of imaging methods have been used to estimate the PGV, including ultrasound (US), either transrectally or suprapubically (TRUS, SPUS), Computer Tomography (CT), and Magnetic Resonance Imaging (MRI). Although many publications have described their accuracy, these have never been systematically reviewed, making it difficult to compare them. Our aim was to review the literature in order to determine the accuracy of imaging as a measure of PGV in a future planned study of the effects of neoadjuvant androgen deprivation therapy (NADT).

2. Materials and Methods

The PRISMA, AMSTAR-2, and QUADAS-2 tools were adopted to ensure the quality of the review. However, in this case the imaging tests were not being used as diagnostic tests but as measuring tools, so not all of the criteria for these were relevant [4-6]. The proposal for the review was submitted for registration to PROSPERO [7], but the review was completed before a response was received. Ethics committee approval was not required and no funding was obtained for this study. The patient populations studied were those men undergoing imaging of the prostate for any reason, including those attending health services for prostate conditions. The interventions to be reviewed were the US, CT, and MRI, recognising that variations existing in the way each of these can be used to measure PGV. All study designs were considered and the outcome was to be any quantitative measure of accuracy when compared against the reference standard, meaning in vitro measurement of the PGV after radical prostatectomy. Multiple medical literature databases were accessed in August 2018, including CINAHL Plus, Embase, Medline, Pubmed, and ScienceDirect and were searched for abstracts containing the terms “prostate volume” and “imaging OR US OR CT OR MRI” and “prostatectomy”. No other review protocol or similar previous publication existed. Titles and abstracts were reviewed by both of the authors and relevant full text articles were obtained for further review. The results were then tabulated so that the range of results could be seen, including correlations, concordance, and tendencies to over- or underestimate. For each study the date of publication, the numbers of patients, and the average age of the patients were tabulated. Although there were relevant articles published over a period of more than 50 years, we arbitrarily adopted a time limit of 22 years (since 1995), as we assumed that the extensive developments in the technology of the imaging and reference methods would render articles published before that time less relevant. Titles that were published only published in abstract form or relating to animal studies were also excluded. Several articles have compared the accuracy of the other less invasive imaging methods with the TRUS including SPUS, transperineal US, CT, and MRI. However, unless these involved a comparison against an in vitro reference method they were not considered further here. For the same reason we excluded several articles that compared different formulae used to calculate the PGV from standard imaging measurements [8-10] and one study that compared in vivo and ex vivo MRI measurements (all showing high correlation) [11]. We excluded many articles describing other aspects of the measurement of PGV, such as interobserver variation, or the ability to detect diseases. No source data extraction for meta-analysis was attempted. Assessment of publication bias was not considered to be necessary. However, the tools for reporting reviews and particularly the QUADAS-2 tool encourage review authors to develop review-specific bias and quality assessments [6]. We considered that the authors of each study might report more favourable results if they were performing most of the imaging themselves, or if those undertaking the reference measurement were not blinded to the results of the imaging. Thus, a bias score was derived with a total score 0-2, a higher score indicating greater potential for bias. The quality of each study was also assessed by considering the imaging measurement (using either a planimetric calculation or autosegmentation method), the reference measurement (using a fresh specimen that had the seminal vesicles removed), the number of patients (more than 50), and whether both concordance and correlation were considered (total score 0 to 4, a higher score indicating higher quality).

3. Results

The search strategy initially generated 758 titles. Selected abstracts were reviewed by both authors blindly, but only 57 were considered relevant. Complete text versions of those articles were obtained, but only 11 had usable data. Secondary searching through 43 titles generated a further 17 articles, identifying a total of 28 articles. Some of these reported imaging measurements from more than one imaging method, describing a total of 33 comparisons between the PGV measured by an imaging method and by the reference method. The search strategy is described in Figure 1.
Figure 1

Results of the search strategy.

The 28 articles described studies with a wide variety of sample sizes (5 to 1844 patients) but had a combined total of 7768 patients. The patients were from countries all over the world, mostly USA and Korea but also five different European countries and Australia. The dates of publication were well spread across the range of dates, from 1995 to 2018. The results were tabulated depending on the imaging method used, as shown in Tables 1 (US), 2 (CT), and 3 (MRI). Ages, weights, and volumes were rounded up or down to the nearest whole numbers.
Table 1

Summary of articles measuring the PGV by TRUS in chronological order.

First author,Year of publication,CountryNumber of patients,Age TRUS Imaging details,Mean volumeReference method,Mean volumeReference method detailsCorrelationdataConcordanceData and over/under estimationOthercommentsScores for Bias (0-2)andQuality (0-4)
Wolff [12] 1995Germany25 pts, age NSEC, Mean NSSpecimen weight, SGF applied, mean 36gmSV weight subtractedLinear regression R=0.83P<0.0001NSTwo methods of EC compared, NSDB2Q0

Tewari [13] 1996USA48 ptsAge NSEC mean 60gmWeighed after fixation, SGF applied, mean 65 gmSV removedNSStudents t-test p=0.04PGV was underestimated by about 10%Also used MRI but not compared with reference.B2Q1

Matthews [14] 1996 USA100 ptsAge NSECMean 36mLMean 45 mLEC from measurementsWithin 1 hr of excisionNSStudents t-testP<0.01PGV was underestimated if <30mL and overestimated if >30mLB2Q1

Zlotta [15] 1999Belgium and Austria36 ptsAge NSECMean 29 mLWeighedMean 34 mLDetails NSPearson's R=0.78P<0.001Students t-test p=0.004TZ volume measurement was more accurate than whole prostateB2Q0

Park [16] 2000South Korea16 ptsMean 62 yrsEC, mean 30 mL transaxial and 33 mL midsagittalEC from specimen, mean 32 mLWithin 1 hr of excision0.71 Midsagittal0.83 TransaxialMethod NSStudent's t-test NSDAP measured in two planes, NSDB2Q1

Freedland [17] 2005 USA753 ptsAge NSDetails NSWeight, otherwise details NSIncluded SV and vasa tipsSpearman r=0.71P<0.001NSFrom a larger study of 1602 RP pts in the SEARCH database, mean age 63 yrs, mean specimen weight 44gmB1Q1

Loeb [18] 2005USA1844 ptsMean 65 yrsECMean 40gmMean wt 50 gmIncluded SVSpearman's R=0.65PGV was generally underestimated, more accurate with smaller PGVTRUS better than DREB1Q2

Cabello-Benevente [19] 2006 Spain33 ptsAge NSECMean 39ccWeight 54 gmDetails NSPearson r=0.79Student's t-test P=0.001Underestimated by 29%B2Q1

Lee [20] 2006 Korea73 pts, age NSEC Mean 39ccFresh weight within 1 hr, SGF applied, mean 37ccSV removedPearson r=0.88 P< 0.001Overestimated if <35cc, underestimated if >35ccAlso tested MRI, which was more accurateB2Q4

Sajadi [21] 2007 USA497 ptsMean 60yrsECMean 37.4ccSpecimen weight mean 45 gmFresh Weight included SVSpearman'sR=0.692, p<0.001Usually underestimatedVA studyB1Q3

Jeong [22] 2008 Korea21 pts, mean 66 yrsEC, Means 42-51 mLFresh specimen within 1 hr, displacement method, mean 40mLSV removedLinear regression, R=0.90-94Students t-testP=0.1-<0.001Axial and midsagittal measurements of AP were compared, axial better for TRUSAlso used MRI with both EC and PC, where Midsagittal and PC most accurateB2Q3

Rodriguez [23] 2008 USA124 ptsAge NSECMean NSDisplacement method and weight (together correlated 0.997).Defatted but SV attached.Correlations not given but only 24% within +/- 10%Underestimated wt in all size categoriesNo mean values givenB1Q2

Acer [24] 2010Turkey5 ptsMean 60 yrsEC Mean vol 43 ccFluid displacementMean 53 ccSV removedKruskal Wallis P = 0.677 (NSD)21% underestimationB2Q2

Hong [25] 2012Australia236 ptsMean 61 yrsEC 37 mLWeight post Formalin fixation46 mLSV removedSpearman r=0.74Concordance coefficients also provided 0.31-0.46, considered poorAlso performed EC on specimens, median 32 mL, concluded weight more usefulB1Q3

Varkarakis [26] 2013 Greece60 pts mean 64 yrsBoth TRUS and SPUS Both EC, means 45-50 cc respDisplacement of fresh specimen, mean 45 ccSV and vas removedNSSPUS overestimated PGV, TRUS NSDAlso used CTB2Q2

Bienz [27] 2014 Canada and USA440 ptsAge NSEC4 Volume categoriesWeighed before fixationDetails NSPearson improved with volume r = 0.17-0.84P= 0.056-<0.01ANOVAPGV was underestimated <30 and overestimated >80cc, avg absolute error 39%Median lobe made no differenceB2Q3

Kilic [28] 2014 Turkey163 pts, mean age 64 yrsECTRUS and SPUS, means 51 and 50 mL respectivelyFresh weights, Mean 55 gmSV includedSGF appliedICC 0.84-0.90Both TRUS and SPUS underestimated the PGV TRUS slightly better than SPUS (NSD)Also used CT, TRUS and SPUS more accurateB2Q2

Paterson [29] 2016 Canada318 ptsMean 63 yrsECMean 39ccFluid displacement method. Mean 37ccProstate weight also used (ICC=0.96)ICC 0.74Underestimated on average by 3ccMRI slightly more accurateB1Q3

Pts: patients, Yrs: years of age, TRUS: transrectal ultrasound, SPUS: suprapubic ultrasound, EC: ellipsoid calculation, PC: planimetric calculation, NS: not stated, VA: Veterans Affairs, SV: seminal vesicles, TZ: transitional zone, MRI: magnetic resonance imaging, CT: computer tomography, AP: anteroposterior, ICC: intraclass correlation coefficient, SGF: specific gravity factor (1.05 g/mL), and SEARCH: shared equal access regional cancer hospital.

Table 2

Summary of articles measuring the PGV by CT.

First author,Year of publication,CountryNumber of patients,Age CT Imaging detailsMean volumeReference methodMean volumeReference detailsCorrelationdataConcordanceData and over/under estimationOthercommentsScores for Bias (0-2)andQuality (0-4)
Varkarakis [26] 2013 Greece60 pts, Mean 64 yrsEC, Mean 54 ccDisplacement of fresh specimen, Mean 45 ccSV and vas removedNSOverestimated PGVAlso used TRUS and SPUS, CT larger and less accurateB2  Q2

Kilic [28] 2014 Turkey163 pts, Mean age 64 yrsEC, Mean 63 mLFresh weights, Mean 55 gmSV included  SGF appliedICC 0.78Overestimated on average by 15%, better agreement for larger PGVAlso used TRUS and SPUS, CT larger than both p<0.001B2  Q2

Pts: patients, Yrs: years of age, TRUS: transrectal ultrasound, SPUS: suprapubic ultrasound, EC: ellipsoid calculation, PC: planimetric calculation, NS: not stated, SV: seminal vesicles, ICC: intraclass correlation coefficient, and SGF: specific gravity factor (1.05 g/mL).

Table 3

Summary of articles measuring the PGV by MRI in chronological order.

First author,Year of publication,CountryNumber of patients,AgeMRI Imaging details,Median volumeReference method,Median volumeReference detailsCorrelationdataConcordanceData and over/under estimationOthercommentsScores for Bias (0-2) and Quality (0-4)
Sosna [30] 2003USA11 pts, Mean 59 yrsEC, PC, and ex vivo PCMean volumes 26-31 EC, 37 PC, 34 mL ex vivo,3T MRI, no ERCFresh specimen weighed, SGF applied, Mean 40mLSV removedLinear regressionR=0.32-0.75 for EC, 0.65 for PC in vivo, 0.86 for PC ex vivo6 combinations of various axes used for EC, best was sagittal for AP and SI, axial for RLB2Q2

Lee [20] 2006 Korea73 pts, age NSEC, Mean 38cc3T or ERC NSFresh weight within 1 hr, SGF applied, Mean 37ccSV removedPearson R=0.96 P< 0.001Overestimated if < 35cc, underestimated if >35ccAlso tested TRUS, but MRI more accurateB2Q4

Jeong [22] 2008 Korea21 pts, Mean 66 yrsEC and PC, Means 41-51 mL,ERC used,3T NSdisplacement method, Mean 40mLFresh specimen within 1 hr, SV removedLinear regression, R=0.84-92Students t-testP=0.03-0.70PC most accurateB2Q3

Kwon [31] 2010 Korea579, Mean 64 yrsEC,Mean 32 mL, 1.5T MRI,ERC NSFresh weight, Mean NSSV removedPearson R=0.69P< 0.001NSB2Q2

Bulman [32]2012USA91 pts, Mean 59 yrsmpMRI EC, PC (manual and MFA).ERC, 3T, Mean 41-45 mLFreshly weighed, Mean 50 mLAverage weight of SVs subtractedWilcoxon signed rank test and linear regression 0.78-0.90Bland-Altman plots, 92-97% within limits of agreement. All of the MRI methods underestimated the volume by around 15%Multiple readers used, MFA similar in accuracy to manual planimetry, both more accurate than ECB2Q4

Turkbey [33]2012USA98 pts, Median 61 yrsEC, PC and automated PC, Means 29-48 cc3T, ERCFresh specimen weight, Mean 52 ccIncluded SVsPearson r=0.86-0.91P<0.0001Partial and full Dice similarity coefficient 0.85-0.92Autosegmentation faster than manual PCB2Q3

Karademir [34] 2013, USA61 pts, Median 64 yrsAutomated volume calculation,Mean 46 cc,1.5T mpMRI, ERCWeight from pathology reports, mean 50ccStandard SV weight subtractedPearson r=0.94P<0.0001Underestimated by 10% on averageB2Q2

Hong [35], 2014, USA1756 pts, Median 59 yrsEC,Median 31mL3T NS,ERC NSWeight from pathology report, Mean NSDetails NSPearson R=0.82, p< 0.0001NSHigher grade cancer associated with smaller volumeB2Q1

Le Nobin [36], 2014,USA37 pts, Mean 60 yrsPCMean 47 mL3T mpMRI,ERC NSPost fixation,Mean 47 mLDetails NSNSBland Altman 95% limits -7 to +8 mLB2Q2

Chernyak [37], 2015, USA49 pts, Mean 59 yrsEC, either 1.5T or 3TWith and without ERC, Means 46 and 51 ccWeight retrospectively collected from report, Mean 55 gmIncluded SVICC improved with ERC 0.90-0.96, mainly due to AP measurementMRI underestimated weight, more so with ERC (9 vs 4 gm)B1Q2

Mazaheri [38], 2015, USA195 pts, Median 62 yrsEC and PC, Median 42 cc for both,3T MRI, ERCFresh weight from pathology report, Median 52 ccStandard SV weight subtracted, applied SGFLin CCC used to assess correlation and concordanceLin CCC = 0.85 (EC) and 0.87 (PC), both underestimated by approx. 10mLB2Q3

Paterson [29], 2016, Canada318 ptsMean 63 yrsECMean 39ccFluid displacement method. Mean vol 37ccAlso prostate weight(ICC=0.96)ICC 0.83Overestimation more common when a median lobe was presentAlso used TRUS, MRI slightly more accurate,B1Q3

Bezinque [39], 2018,USA99 pts, Median 63 yrsVarious EC and PC methods, Medians 35 to 49, 3T mpMRI, No ERCSpecimen wt and volume, Medians 37-54 mLDetails NSICC 0.66-0.73NSMRI with segmentation was considered the referenceB1Q2

Pts: patients, Yrs: years of age, TRUS: transrectal ultrasound, EC: ellipsoid calculation, PC: planimetric calculation, NS: not stated, SVs: seminal vesicles, TZ: transitional zone, mpMRI: multiparametric magnetic resonance imaging, MFA: multifeature active shape model, ERC: endorectal coil, 3T: 3-tesla, AP: anteroposterior, ICC: intraclass correlation coefficient, SGF: specific gravity factor (1.05 g/mL), CC: craniocaudal, SP: specific gravity, SEARCH: shared equal access regional cancer hospital, and Lin CCC: Lin's concordance correlation coefficient.

Two articles included both US and CT imaging methods, and these appear in both Tables 1 and 2 [26, 28]. Four articles included both US and MRI imaging methods, in three of these articles both imaging methods were compared with the reference standard, so all three articles appear in both Tables 1 and 3 [20, 22, 29]. In the fourth article, the TRUS measurements were not compared with a reference standard so the results only appear in the table relating to MRI scans, Table 3 [39]. The 18 articles that related to the use of US are shown in Table 1. They were published between 1995 and 2016 and included a total of 4792 patients. All of these used TRUS, but two also used SPUS [26, 28]. The correlation coefficients most commonly fell in the range of 0.70-0.90, indicating high levels of correlation. Only two articles were related to the use of CT [26, 28]. They involved 223 patients in total and were published in 2013 and 2014. Both of these also included results about TRUS, as shown in Table 2. Only one of these [28] recorded a correlation coefficient at 0.78. Both indicated that the CT volumes were generally larger than TRUS and less accurate. Both also assessed SPUS and found little difference between SPUS and TRUS. There were 13 articles that related to the use of MRI as shown in Table 3. They included 3388 patients and were published between 2003 and 2018. Correlation coefficients commonly lay between 0.8 and 0.96, a slightly higher range than TRUS and CT. Four articles that described both MRI and TRUS all indicated slightly better results for MRI [13, 20, 22, 29]. While reviewing the articles we made various observations about the methods that were used. The articles often applied geometric terms to describe the shape of the prostate in order to calculate the PGV using each imaging method. The term “ellipsoid” was often used, which is a 3-dimensional volume with three perpendicular axes. The term “spheroid” was sometimes used, meaning that two of the axes are identical. The term “prolate spheroid” was also sometimes used, meaning that these two axes are shorter than the lengthened third axis (rugby ball shape). To convert the measurements of the three axes to a volume, the ellipsoid calculation (EC) was often made by applying the standard formula (height × length × width × π/6). A wide variety of modifications to this were used. Other articles often used a planimetric calculation (PC or volumetry), which involves contouring the periphery of the gland on consecutive 3-5 mm slices, either axial or sagittal, and summating the series of volumes. The reference tests were laboratory (in vitro) assessments of prostatectomy specimens which could be analysed by either weighing the specimen or measuring displacement. Weighing was done either by weighing the fresh specimen or after fixation with formalin. In some articles, the specimen was weighed after removal of fat, seminal vesicles or remnants of the vasa deferentia. Some articles subtracted a standard weight for the seminal vesicles from the prostate weight, which might be expected to be more inaccurate in prostates that were unusually large or small. Also in some articles, the weight of the prostate was converted to a volume by applying standard values for the specific gravity of prostate tissue (1.05 g/mL). In some articles, the volumes were identified by displacement of fluid or by measuring the maximum dimensions and using these to calculate an ellipsoid. These variations in the imaging and reference tests were recorded in the tables. These variations in methodology appeared to make little or no difference to the accuracy measures. The bias and quality scores revealed that no articles were completely free of bias as in nearly all of the articles the authors conducted the imaging assessment themselves and it was rarely stated that those undertaking the reference measurement were blinded to the results of the imaging measurement. Quality scores generally improved with the date of publication. There was no indication that bias or quality played a major role in influencing the reported accuracy of the imaging methods used for PGV measurement.

4. Discussion

We found that no previous review of this topic had been performed and that the accuracy of imaging as a method of measuring the PGV was most commonly defined by correlation statistics that were generally moderate to high, most commonly between 0.70 and 0.96. Overall these results suggest that imaging is an accurate test for quantitatively measuring PGV and could be used in a study of the effects of NADT. Of the various imaging methods, TRUS was the most commonly studied. It had been studied long before our cut-off date of 1995, but the accuracy could be expected to depend on technical factors such as the image acquisition time and the resolution of the image, which have improved over time. Immobilisation of the patient may also have improved, especially if the lithotomy position is used rather than the lateral decubitus position. There were only two CT articles, both of which suggested that the scan overestimated the PGV. MRI articles only appeared after 2003, but MRI appeared slightly more accurate, including all three articles that directly compared TRUS and MRI. TRUS could be expected to be more operator dependant than MRI and TRUS measurements are likely to be affected more by pressure on the prostate from the balloon than by an endorectal coil (ERC), although the ERC also involves a balloon that can affect the volume [40]. MRI software may include multifeature active shape models (MFA's) which provide an accurate, automated method of planimetric measurement [32]. The software may also include sophisticated mechanisms for aligning the prostate images ex vivo with in vivo images, providing an additional means of assessing the PGV [41]. For those articles that described the EC method of volume measurement, there were inconsistent findings about which planes or axes to use. Some showed that the dimensions of the prostate measured on a midsagittal plane were more accurate than an axial plane on TRUS [22] and MRI [30] although an earlier TRUS study had found no difference [16]. Several articles showed that the PC method was more accurate than EC for TRUS and MRI [22, 30, 32, 38]. When PC was done by automated methods, these were just as accurate and could be recorded faster than by manual methods [32, 33, 39]. Regarding the tendency to over or underestimate the PGV, seven articles described this tendency without dividing the patients into those with larger or smaller prostates and found mixed results. For TRUS, four were underestimated while one was overestimated. With CT both were overestimated, while with MRI four were underestimated. There were four articles that divided patients into those either above or below their median values and three found the imaging tended to overestimate smaller glands and tended to underestimate larger glands, while in the remaining one it was the reverse. The underestimation of larger PGVs was the most consistent finding. The optimal way to assess the over and underestimation with volume is with Bland-Altman statistical methods, as these can show how the pattern changes across the range of volumes [42, 43]. There were few articles in this review that used this method [32, 36]. Our review had some limitations. Firstly, the methods used to perform the imaging, to calculate the volume, and to compare it with the reference methods all varied widely, making it difficult to combine them. Secondly, there were variations in the reference test methods used, with many using specimen weight rather than volume. Thirdly, none of the articles were completely free of bias, and none achieved maximum potential quality. However, none of these limitations seem likely to affect the conclusions we have drawn. Future studies into the measurement of the PGV should use the MRI when the highest level of accuracy is needed using planimetric methods of calculation. Ideally a 3-tesla machine would be used to achieve optimal image quality and without an ERC as that can distort the PGV. The assessment of the volume of individual zones within the prostate could be studied as these can be affected differently by different diseases and treatments. When assessing a method of measurement of the PGV, multiple operators and blinding should be incorporated to avoid bias. The reference method would ideally involve assessment of the PGV by displacement as soon as the prostate is removed, avoiding the effects of shrinkage during fixation and avoiding the need for a volume conversion factor when weight is used. Extraneous tissue should be removed, including the seminal vesicles and remnants of the vasa deferentia. Measures of correlation and concordance should be included, and Bland-Altman plots should be presented to graphically demonstrate agreement, including under and overestimation.

5. Conclusions

Our study suggests that the use of imaging to measure the PGV is still a topic of significant interest and that no previous systematic reviews have been undertaken. The correlation of the PGV measured by imaging with the reference methods was in the range of a distribution from 0.70 to 0.96, which is accurate enough for some of the purposes that require quantitative PGV measurements. MRI was slightly more accurate than the other methods.
  42 in total

1.  Accuracy and repeatability of prostate volume measurements by transrectal ultrasound.

Authors:  L M Eri; H Thomassen; B Brennhovd; L L Håheim
Journal:  Prostate Cancer Prostatic Dis       Date:  2002       Impact factor: 5.554

2.  Accuracy of prostate weight estimation by digital rectal examination versus transrectal ultrasonography.

Authors:  Stacy Loeb; Misop Han; Kimberly A Roehl; Jo Ann V Antenor; William J Catalona
Journal:  J Urol       Date:  2005-01       Impact factor: 7.450

3.  [Volume determinations of the whole prostate and of the adenoma by transrectal ultrasound: correlation with surgical specimen].

Authors:  R Cabello Benavente; J Jara Rascón; J I Monzó; I López Díez; D Subirá Ríos; E Lledó García; F Herranz Amo; C Hernández Fernández
Journal:  Actas Urol Esp       Date:  2006-02       Impact factor: 0.994

Review 4.  Gland volume in the assessment of prostatic disease: does size matter?

Authors:  Mark R E Harris; Emma J Harding; Tim S Bates; Mark J Speakman
Journal:  BJU Int       Date:  2007-06-08       Impact factor: 5.588

5.  Determinations of prostate volume at 3-Tesla using an external phased array coil: comparison to pathologic specimens.

Authors:  Jacob Sosna; Neil M Rofsky; Sandra M Gaston; William C DeWolf; Robert E Lenkinski
Journal:  Acad Radiol       Date:  2003-08       Impact factor: 3.173

6.  Prostate size and risk of high-grade, advanced prostate cancer and biochemical progression after radical prostatectomy: a search database study.

Authors:  Stephen J Freedland; William B Isaacs; Elizabeth A Platz; Martha K Terris; William J Aronson; Christopher L Amling; Joseph C Presti; Christopher J Kane
Journal:  J Clin Oncol       Date:  2005-10-20       Impact factor: 44.544

7.  The importance of measuring the prostatic transition zone: an anatomical and radiological study.

Authors:  A R Zlotta; B Djavan; M Damoun; T Roumeguere; M Petein; K Entezari; M Marberger; C C Schulman
Journal:  BJU Int       Date:  1999-10       Impact factor: 5.588

8.  Prostate volume measurement by TRUS using heights obtained by transaxial and midsagittal scanning: comparison with specimen volume following radical prostatectomy.

Authors:  S B Park; J K Kim; S H Choi; H N Noh; E K Ji; K S Cho
Journal:  Korean J Radiol       Date:  2000 Apr-Jun       Impact factor: 3.500

9.  Transrectal ultrasound versus magnetic resonance imaging in the estimation of prostate volume as compared with radical prostatectomy specimens.

Authors:  Jae Seok Lee; Byung Ha Chung
Journal:  Urol Int       Date:  2007       Impact factor: 2.089

10.  Body mass index, prostate weight and transrectal ultrasound prostate volume accuracy.

Authors:  Kamran P Sajadi; Martha K Terris; Robert J Hamilton; Jennifer Cullen; Christopher L Amling; Christopher J Kane; Joseph C Presti; William J Aronson; Stephen J Freedland
Journal:  J Urol       Date:  2007-07-16       Impact factor: 7.450

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  13 in total

1.  Inter-imaging accuracy of computed tomography, magnetic resonance imaging, and transrectal ultrasound in measuring prostate volume compared to the anatomic prostatic weight.

Authors:  Vaishnavi Narayanamurthy; Kirtishri Mishra; Amr Mahran; Laura Bukavina; Lee Ponsky; Ehud Gnessin
Journal:  Turk J Urol       Date:  2020-01-01

2.  A prospective study of the effect of testosterone escape on preradiotherapy prostate-specific antigen kinetics in prostate cancer patients undergoing neoadjuvant androgen deprivation therapy.

Authors:  David R H Christie; Natalia Mitina; Christopher F Sharpley
Journal:  Curr Urol       Date:  2021-03-29

3.  Cartilage oligomeric matrix protein in patients with osteoarthritis is independently associated with metastatic disease in prostate cancer.

Authors:  Samuel Rosas; Ryan T Hughes; Michael Farris; Hwajin Lee; Emory R McTyre; Johannes F Plate; Lihong Shi; Cynthia L Emory; A William Blackstock; Bethany A Kerr; Jeffrey S Willey
Journal:  Oncotarget       Date:  2019-07-30

4.  Prostate volume measurement by multiparametric magnetic resonance and transrectal ultrasound: comparison with surgical specimen weight.

Authors:  Tatiana Martins; Thais Caldara Mussi; Ronaldo Hueb Baroni
Journal:  Einstein (Sao Paulo)       Date:  2020-01-31

5.  Multivariable Models Incorporating Multiparametric Magnetic Resonance Imaging Efficiently Predict Results of Prostate Biopsy and Reduce Unnecessary Biopsy.

Authors:  Shuanbao Yu; Guodong Hong; Jin Tao; Yan Shen; Junxiao Liu; Biao Dong; Yafeng Fan; Ziyao Li; Ali Zhu; Xuepei Zhang
Journal:  Front Oncol       Date:  2020-11-11       Impact factor: 6.244

6.  Developing Strategy to Predict the Results of Prostate Multiparametric Magnetic Resonance Imaging and Reduce Unnecessary Multiparametric Magnetic Resonance Imaging Scan.

Authors:  Junxiao Liu; Shuanbao Yu; Biao Dong; Guodong Hong; Jin Tao; Yafeng Fan; Zhaowei Zhu; Zhiyu Wang; Xuepei Zhang
Journal:  Front Oncol       Date:  2021-09-14       Impact factor: 6.244

Review 7.  Transrectal Ultrasound in Prostate Cancer: Current Utilization, Integration with mpMRI, HIFU and Other Emerging Applications.

Authors:  John Panzone; Timothy Byler; Gennady Bratslavsky; Hanan Goldberg
Journal:  Cancer Manag Res       Date:  2022-03-22       Impact factor: 3.989

8.  Evaluating Incidence, Location, and Predictors of Positive Surgical Margin Among Chinese Men Undergoing Robot-Assisted Radical Prostatectomy.

Authors:  Wugong Qu; Shuanbao Yu; Jin Tao; Biao Dong; Yafeng Fan; Haopeng Du; Haotian Deng; Junxiao Liu; Xuepei Zhang
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

9.  Hemorrhagic cystitis in allogeneic stem cell transplantation: a role for age and prostatic hyperplasia.

Authors:  Eugenio Galli; Federica Sorà; Luca Di Gianfrancesco; Sabrina Giammarco; Elisabetta Metafuni; Maria Assunta Limongiello; Idanna Innocenti; Francesco Autore; Luca Laurenti; Patrizia Chiusolo; Andrea Bacigalupo; Simona Sica
Journal:  Support Care Cancer       Date:  2022-02-18       Impact factor: 3.359

10.  Using clinical parameters to predict prostate cancer and reduce the unnecessary biopsy among patients with PSA in the gray zone.

Authors:  Junxiao Liu; Biao Dong; Wugong Qu; Jiange Wang; Yue Xu; Shuanbao Yu; Xuepei Zhang
Journal:  Sci Rep       Date:  2020-03-20       Impact factor: 4.379

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