Share：
Share this content in WeChat
X
[Chinese][PDF]188868
• Clinical Article •
Application of biparametric magnetic resonance imaging in the detection of prostate cancer: a contrastive study based on whole mount section after radical prostatectomy
HAN Siyuan  LI Chunmei  LIU Ming  ZHANG Wei  ZHU Jinxia  CHEN Min 

Cite this article as: Han SY, Li CM, Liu M, et al. Application of biparametric magnetic resonance imaging in the detection of prostate cancer: a contrastive study based on whole mount section after radical prostatectomy[J]. Chin J Magn Reson Imaging, 2021, 12(5): 30-34. DOI:10.12015/issn.1674-8034.2021.05.007.


[Abstract] Objective To explore the application of biparametric magnetic resonance imaging (bpMRI) in the detection of prostate cancer (PCa) based on whole-mount histopathology. Materials andMethods From May 2017 to September 2019, a retrospective analysis was used to identify the predictive factors affecting the detection of prostate cancer, based on a database correlating lesion-specific results from bpMRI co-registered with whole-mount pathology (WMP) prostatectomy specimens.Results In 67 patients, 123 lesions were confirmed by whole-mount pathology. Tumor detection increases with tumor size and Gleason score. The detection rate of 1.0 cm foci was 92.1%, and that of Gleason score greater than 3+3 was 84.3%. Cancer focal size (P＜0.001) and Gleason score (P=0.008) were independent predictors of tumor detection, respectively. There was no statistical difference in the detection rate between the transitional zone and peripheral zone.Conclusions bpMRI is highly sensitive to the detection of prostate cancer, especially for foci larger than 1 cm in diameter or Gleason score ＞6.
[Keywords] prostate cancer；biparametric magnetic resonance imaging；detection of cancer focus；whole mount section

HAN Siyuan1, 2   LI Chunmei1   LIU Ming3   ZHANG Wei4   ZHU Jinxia5   CHEN Min1, 2*  

1 Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China

2 Graduate School of Peking Union Medical College, Beijing 100005, China

3 Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China

4 Department of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China

5 MR Collaboration, Siemens Healthcare, Beijing 100102, China

Chen M, E-mail: cjr.chenmin@vip.163.com

Conflicts of interest   None.

Received  2021-03-09
Accepted  2021-03-25
DOI: 10.12015/issn.1674-8034.2021.05.007
Cite this article as: Han SY, Li CM, Liu M, et al. Application of biparametric magnetic resonance imaging in the detection of prostate cancer: a contrastive study based on whole mount section after radical prostatectomy[J]. Chin J Magn Reson Imaging, 2021, 12(5): 30-34. DOI:10.12015/issn.1674-8034.2021.05.007.

1
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020[J]. CA Cancer J Clin, 2020, 70(1): 1-24. DOI: 10.3322/caac.21590.
2
Brawer MK, Chetner MP, Beatie J, et al. Screening for prostatic carcinoma with prostate specific antigen[J]. J Urol, 1992, 147(3Pt 2): 841-845.
3
Ye DW, Zhu Y. Prostate cancer and prostatic diseases Best of China, 2018[J]. Prostate Cancer Prostatic Dis, 2019, 22(1): 1-2. DOI: 10.1038/s41391-018-0117-y.
4
Borghesi M, Ahmed H, Nam R, et al. Complications after systematic, random, and image-guided prostate biopsy[J]. Eur Urol, 2017, 71(3): 353-365. DOI: 10.1016/j.eururo.2016.08.004.
5
Loeb S, Bjurlin MA, Nicholson J, et al. Overdiagnosis and overtreatment of prostate cancer[J]. Eur Urol, 2014, 65(6): 1046-1055. DOI: 10.1016/j.eururo.2013.12.062.
6
Wallis CJD, Haider MA, Nam RK. Role of mpMRI of the prostate in screening for prostate cancer[J]. Transl Androl Urol, 2017, 6(3): 464-471. DOI: 10.21037/tau.2017.04.31.
7
Giganti F, Rosenkrantz AB, Villeirs G, et al. The evolution of MRI of the prostate: the past, the present, and the future[J]. AJR Am J Roentgenol, 2019, 213(2): 384-396. DOI: 10.2214/AJR.18.20796.
8
Weinreb JC, Barentsz JO, Choyke PL, et al. PI-RADS prostate imaging-reporting and data system: 2015, version 2[J]. Eur Urol, 2016, 69(1): 16-40. DOI: 10.1016/j.eururo.2015.08.052.
9
Radtke JP, Boxler S, Kuru TH, et al. Improved detection of anterior fibromuscular stroma and transition zone prostate cancer using biparametric and multiparametric MRI with MRI-targeted biopsy and MRI-US fusion guidance[J]. Prostate Cancer Prostatic Dis, 2015, 18(3): 288-296. DOI: 10.1038/pcan.2015.29.
10
De Visschere P, Lumen N, Ost P, et al. Dynamic contrast-enhanced imaging has limited added value over T2-weighted imaging and diffusion-weighted imaging when using PI-RADSv2 for diagnosis of clinically significant prostate cancer in patients with elevated PSA[J]. Clin Radiol, 2017, 72(1): 23-32. DOI: 10.1016/j.crad.2016.09.011.
11
Stanzione A, Imbriaco M, Cocozza S, et al. Biparametric 3T Magnetic Resonance Imaging for prostatic cancer detection in a biopsy-naïve patient population: a further improvement of PI-RADS v2[J]? Eur J Radiol, 2016, 85(12): 2269-2274. DOI: 10.1016/j.ejrad.2016.10.009.
12
Scialpi M, Prosperi E, D'Andrea A, et al. Biparametric multiparametric MRI with non-endorectal coil at 3T in the detection and localization of prostate cancer[J]. Anticancer Res, 2017, 37(3): 1263-1271. DOI: 10.21873/anticanres.11443.
13
Kang Z, Min X, Weinreb J, et al. Abbreviated Biparametric Versus Standard Multiparametric MRI for Diagnosis of Prostate Cancer: A Systematic Review and Meta-analysis[J]. AJR Am J Roentgenol, 2019, 212(2): 357-365. DOI: 10.2214/AJR.18.20103.
14
Bass EJ, Pantovic A, Connor M, et al. A systematic review and meta-analysis of the diagnostic accuracy of biparametric prostate MRI for prostate cancer in men at risk[J]. Prostate Cancer Prostatic Dis, 2020. DOI: . DOI: 10.1038/s41391-020-00298-w.
15
Le JD, Tan N, Shkolyar E, et al. Multifocality and prostate cancer detection by multiparametric magnetic resonance imaging: correlation with whole-mount histopathology[J]. Eur Urol, 2015, 67(3): 569-576. DOI: 10.1016/j.eururo.2014.08.079.
16
Turkbey B, Mani H, Shah V, et al. Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds[J]. J Urol, 2011, 186(5): 1818-1824. DOI: 10.1016/j.juro.2011.07.013.
17
Johnson DC, Raman SS, Mirak SA, et al. Detection of individual prostate cancer foci via multiparametric magnetic resonance imaging[J]. Eur Urol, 2019, 75(5): 712-720. DOI: 10.1016/j.eururo.2018.11.031.
18
Pessoa RR, Viana PC, Mattedi RL, et al. Value of 3-Tesla multiparametric magnetic resonance imaging and targeted biopsy for improved risk stratification in patients considered for active surveillance[J]. BJU Int, 2017, 119(4): 535-542. DOI: 10.1111/bju.13624.
19
Nassiri N, Chang E, Lieu P, et al. Focal therapy eligibility determined by magnetic resonance imaging/ultrasound fusion biopsy[J]. J Urol, 2018, 199(2): 453-458. DOI: 10.1016/j.juro.2017.08.085.
20
Borofsky S, George AK, Gaur S, et al. What are we missing? False-negative cancers at multiparametric MR imaging of the prostate[J]. Radiology, 2018, 286(1): 186-195. DOI: 10.1148/radiol.2017152877.
21
Filson CP, Natarajan S, Margolis DJA, et al. Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: the role of systematic and targeted biopsies[J]. Cancer, 2016, 122(6): 884-892. DOI: 10.1002/cncr.29874.
22
Asvadi NH, Afshari Mirak S, Mohammadian Bajgiran A, et al. 3 T multiparametric MR imaging, PIRADSv2-based detection of index prostate cancer lesions in the transition zone and the peripheral zone using whole mount histopathology as reference standard[J]. Abdom Radiol (NY), 2018, 43(11): 3117-3124. DOI: 10.1007/s00261-018-1598-9.

PREV Evaluation of computer tomography and magnetic resonance imaging in the classification and viability of hepatic cystic echinococcosis
NEXT Combining clinical characteristics and specific magnetic resonance imaging features to predict the risk of hysterectomy in gravid patients at high risk for placenta accreta spectrum disorders
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn