| Literature DB >> 35256864 |
Jamie Michael1, Kevin Neuzil2, Ersan Altun3, Marc A Bjurlin2,4.
Abstract
Accurate staging is critical for treatment planning and prognosis in men with prostate Cancer. Prostate magnetic imaging resonance (MRI) may aid in the staging evaluation by verifying organ-confined status, assessing the status of the pelvic lymph nodes, and establishing the local extent of the tumor in patients being considered for therapy. MRI has a high specificity for diagnosing extracapsular extension, and therefore may impact the decision to perform nerve sparing prostatectomy, along with seminal vesicle invasion and lymph node metastases; however, its sensitivity remains limited. Current guidelines vary significantly regarding endorsing the use of MRI for staging locoregional disease. For high-risk prostate cancer, most guidelines recommend cross sectional imaging, including MRI, to evaluate for more extensive disease that may merit change in radiation field, extended androgen deprivation therapy, or guiding surgical planning. Although MRI offers reasonable performance characteristics to evaluate bone metastases, guidelines continue to support the use of bone scintigraphy. Emerging imaging technologies, including coupling positron emission tomography (PET) with MRI, have the potential to improve the accuracy of prostate cancer staging with the use of novel radiotracers.Entities:
Keywords: magnetic resonance imaging; prostate cancer; staging
Year: 2022 PMID: 35256864 PMCID: PMC8898014 DOI: 10.2147/CMAR.S283299
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Summary of Recommendations for Use of MRI for Prostate Cancer Staging
| Association, | MRI Recommendations for Prostate Cancer Staging | ||
|---|---|---|---|
| AUA policy statement | -MRI has potential to predict disease confined to the organ, EPE and SVI | ||
| AUA policy statement | -When high quality, MRI has poor sensitivity but high specificity for detection of EPE when using secondary markers such as bulge, capsule irregularity or capsular contact length | ||
| AUA/ASTRO/SUO guidelines | |||
| Unfavorable intermediate risk localized | Stage with cross sectional imaging (CT or MRI) and bone scintography | ||
| High-risk localized prostate cancer | Stage with cross sectional imaging (CT or MRI) and bone scintography | ||
| -MRI has improved accuracy to CT when imaging the prostate gland and avoids radiation exposure, however, high-quality images are not available in every clinical setting | |||
| NCCN guidelines | |||
| Very low risk | MRI can be used to establish candidacy for active surveillance when combined with biopsy | ||
| Low risk | MRI can be used to establish candidacy for active surveillance when combined with biopsy | ||
| Intermediate risk | MRI if nomograms predict >10% probability of LN involvement | ||
| High risk | MRI for staging in all patients | ||
| Very high risk | MRI for staging in all patients | ||
| EAU/EANM/ESTRO/ESUR/SIOG guidelines | |||
| High-risk localized | Cross-sectional abdominopelvic imaging strongly recommended for staging | ||
| Locally advanced | Cross-sectional abdominopelvic imaging strongly recommended for staging | ||
| -Prebiopsy MRI for local staging information only weakly recommended | |||
| NICE recommendations | -Recommend against offering MRI to patients who are not going to be able to have radical treatment | ||
Summary of MRI Performance Characteristics for Detection of T3a, T3b and T4 Disease
| Publication | Study Design | Year | Sensitivity | Specificity | PPV | NPV | Accuracy | |
|---|---|---|---|---|---|---|---|---|
| de Rooij et al | Meta-analysis | 2016 | 57–68% | 91% | n/a | n/a | n/a | |
| Boesen et al | Prospective | 2015 | 61–74% | 77–88% | n/a | n/a | n/a | |
| Muehlmatter et al | Retrospective | 2019 | 28% | 47% | n/a | n/a | n/a | |
| Boesen et al | Prospective | 2017 | 81% | 78% | n/a | n/a | 79% | |
| Bai et al | Systematic review | 2019 | 80.5% | 69.1% | n/a | n/a | n/a | |
| Zhang et al | Meta-analysis | 2019 | 55% | 87% | n/a | n/a | n/a | |
| Tirumani et al | Meta-analysis | 2020 | ERC: 53%* | ERC: 95% | n/a | n/a | n/a | |
| Davis et al | Prospective | 2016 | 12.5% | 93.1% | 36.4% | 77.0% | n/a | |
| Cerantola et al | Retrospective | 2013 | 35% | 90% | 57% | 79% | 62% | |
| Dominguez et al | Retrospective | 2018 | 54.9% | 90.9% | 81% | 74.1% | 76% | |
| Gaunay et al | Retrospective | 2017 | 58.3% | 97.8% | 93.3% | 81.5% | n/a | |
| Feng et al | Retrospective | 2015 | 84.6% | 87.2% | 66.7% | 94.9% | n/a | |
| Hegde et al | Retrospective | 2013 | n/a | n/a | n/a | n/a | 75% | |
| Lee et al | Retrospective | 2017 | 54.5% | 80.5% | n/a | n/a | n/a | |
| Lee et al | Retrospective | 2017 | 39% | 56% | 45% | 50% | n/a | |
| Toner et al | Retrospective | 2017 | 29% | 94% | n/a | n/a | n/a | |
| de Rooij et al | Meta-analysis | 2016 | 58% | 96% | n/a | n/a | n/a | |
| Grivas et al | Retrospective | 2018 | 75.9% | 94.7% | 62% | 97% | Reader’s expertise improved accuracy | |
| Riney et al | Retrospective | 2018 | 30.3–56.1% | 80.2–88.6% | 37.7–66.1% | 74.4–83.6% | 66.1–79.4% | |
| Muehlmatter et al | Retrospective | 2019 | 35% | 50% | n/a | n/a | n/a | |
| Tirumani et al | Meta-analysis | 2020 | ERC: 52% | ERC: 92% | n/a | n/a | n/a | |
| Hegde et al | Retrospective | 2013 | n/a | n/a | n/a | n/a | 95% | |
| Dominguez et al | Retrospective | 2018 | 19.1% | 100% | 100% | 76.1% | 77.3% | |
| Lee et al | Retrospective | 2017 | 43.8% | 95.4% | n/a | 78.9% | n/a | |
| Lee et al | Retrospective | 2017 | 33% | 95% | 50% | 91% | n/a | |
| Leibovici et al | Prospective | 2005 | 23.4–83.3% | 76.8–100% | n/a | n/a | 59.3–93.2% | |
Abbreviation: *ERC, endorectal coil.
Figure 1Transverse T2-weighted TSE (A), DWI (B), ADC map (C) and T1-weighted DCE (D) demonstrate a PIRADS 5 lesion predominantly located in the right and anterior transitional zone. The lesions shows very low T2 signal, high DWI signal on high b value DWI sequence and low ADC signal suggestive of diffusion restriction, and increased early enhancement compared to the background prostate. There is evidence of extracapsular extension (arrow, a) anteriorly with associated significant bulging of the lesion into the periprostatic fat anteriorly. These findings are suggestive of T3a disease. The lesion is a Gleason 3+4 tumor based on histopathology.
Figure 2Transverse T2-weighted TSE (A), sagittal T2-weighted TSE (B), transverse DWI (C), ADC map (D) and T1-weighted DCE primary perfusion map (E) demonstrate a PIRADS 5 lesion with extracapsular extension and neurovascular bundle involvement on the left side posterolaterally (arrows, a-e). The lesion shows dark T2 signal (A and B) with associated diffusion restriction (C and D) and increased perfusion (E). The lesion is a Gleason 4+4 tumor.
Figure 3TTransverse T2-weighted TSE (A and B), DWI and ADC (C-F), and T1-weighted primary perfusion map (G and H) demonstrate a large infiltrative PIRADS 5 tumor arising from the peripheral zone invading the transitional zone and extending outside the prostate gland and into the seminal vesicles. The tumor is a Gleason 4+4 tumor with associated extracapsular extension (arrow, A) and seminal vesicle invasion (arrow, B). The tumor is very dark on T2 with associated diffusion restriction and increased perfusion.
Figure 4Sagittal T2-SSETSE (A), transverse fat-suppressed T2-weighted SSETSE sequences (B and C), DWI and ADC (D and E) and postgadolinium T1-weighted 3D-GE (F) sequence show a large infiltrative prostate cancer invading the bladder wall (arrows, c-f).