Abstract
Objectives
To demonstrate the importance of extracapsular extension (ECE) of transitional zone (TZ) prostate cancer (PCa), examine the causes of its missed detection by Mp-MRI, and develop a new predictive model by integrating multi-level clinical variables.
Materials and methods
This retrospective study included 304 patients who underwent laparoscopic radical prostatectomy after 12 + X needle transperineal transrectal ultrasound (TRUS)-MRI-guided targeted prostate biopsy from 2018 to 2021 in our center was performed.
Results
In this study, the incidence rates of ECE were similar in patients with MRI lesions in the peripheral zone (PZ) and TZ (P = 0.66). However, the missed detection rate was higher in patients with TZ lesions than in those with PZ lesions (P < 0.05). These missed detections result in a higher positive surgical margin rate (P < 0.05). In patients with TZ lesions, detected MP-MRI ECE may have grey areas: the longest diameters of the MRI lesions were 16.5–23.5 mm; MRI lesion volumes were 0.63–2.51 ml; MRI lesion volume ratios were 2.75–8.86%; PSA were 13.85–23.05 ng/ml. LASSO regression was used to construct a clinical prediction model for predicting the risk of ECE in TZ lesions from the perspective of MRI and clinical features, including four variables: the longest diameter of MRI lesions, TZ pseudocapsule invasion, ISUP grading of biopsy pathology, and number of positive biopsy needles.
Conclusions
Patients with MRI lesions in the TZ have the same incidence of ECE as those with lesions in the PZ, but a higher missed detection rate.
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Data availability
The data are available from the corresponding author on reasonable request.
Abbreviations
- PCa:
-
Prostate cancer
- TZ:
-
Transitional zone
- PZ:
-
Peripheral zone
- ECE:
-
Extracapsular extension
- IQR:
-
Interquartile
- Mp-MRI:
-
Multiparametric MRI
- PI-RADS:
-
Prostate imaging reporting and data system
- tPSA:
-
Total prostate-specific antigen
- SVI:
-
Seminal vesicle invasion
- NPN:
-
Number of positive biopsy needles
- ISUP:
-
International Society of Urological Pathology
- LDL:
-
Largest dimension of index lesion
- PNI:
-
Positive nerve invasion
- PSM:
-
Positive surgical margins
- PCI:
-
Pseudocapsule invasion
References
Ali A et al (2022) Prostate zones and cancer: lost in transition? Nat Rev Urol 19(2):101–115
Caglic I et al (2019) Defining the incremental value of 3D T2-weighted imaging in the assessment of prostate cancer extracapsular extension. Eur Radiol 29(10):5488–5497
Caglic I et al (2022) Value of the capsular enhancement sign on dynamic contrast-enhanced prostate multiparametric MRI for the detection of extracapsular extension. Eur J Radiol 150:110275
Christophe C et al (2020) Prostate cancer local staging using biparametric MRI: assessment and comparison with multiparametric MRI. Eur J Radiol 132:109350
Chun FK et al (2007) Zonal origin of localized prostate cancer does not affect the rate of biochemical recurrence after radical prostatectomy. Eur Urol 51(4):949–955
Costa DN et al (2018) Diagnostic utility of a likert scale versus qualitative descriptors and length of capsular contact for determining extraprostatic tumor extension at multiparametric prostate MRI. AJR Am J Roentgenol 210(5):1066–1072
de Rooij M et al (2015) Accuracy of magnetic resonance imaging for local staging of prostate cancer: a diagnostic meta-analysis. Eur Urol 70(2):233–245
Diamand R et al (2021) External validation of a multiparametric magnetic resonance imaging–based nomogram for the prediction of extracapsular extension and seminal vesicle invasion in prostate cancer patients undergoing radical prostatectomy. Eur Urol 79(2):180–185
Dinh KT et al (2015) Incidence and predictors of upgrading and up staging among 10,000 contemporary patients with low risk prostate cancer. J Urol 194(2):343–349
Epstein JI, Kryvenko ON (2021) A Comparison of genitourinary society pathology and international society of urological pathology prostate cancer guidelines. Eur Urol 79(1):3–5
Gandaglia G et al (2017) Robot-assisted radical prostatectomy and extended pelvic lymph node dissection in patients with locally-advanced prostate cancer. Eur Urol 71(2):249–256
Gandaglia G et al (2019) A novel nomogram to identify candidates for extended pelvic lymph node dissection among patients with clinically localized prostate cancer diagnosed with magnetic resonance imaging-targeted and systematic biopsies. Eur Urol 75(3):506–514
Gandaglia G et al (2020) The key combined value of multiparametric magnetic resonance imaging, and magnetic resonance imaging–targeted and concomitant systematic biopsies for the prediction of adverse pathological features in prostate cancer patients undergoing radical prostatectomy. Eur Urol 77(6):733–741
He D et al (2021) MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins. Cancer Imaging 21(1):46
Huang C et al (2022) Comparison of MRI/US fusion targeted biopsy and systematic biopsy in biopsy-naïve prostate patients with elevated prostate-specific antigen: a diagnostic study. Cancer Manag Res 14:1395–1407
Johnson DC et al (2019) Detection of individual prostate cancer foci via multiparametric magnetic resonance imaging. Eur Urol 75(5):712–720
Kasabwala K et al (2019) The learning curve for magnetic resonance imaging/ultrasound fusion-guided prostate biopsy. Eur Urol Oncol 2(2):135–140
Lee JJ et al (2015) Biologic differences between peripheral and transition zone prostate cancer. Prostate 75(2):183–190
Mason BR et al (2019) Current status of MRI and PET in the NCCN guidelines for prostate cancer. J Natl Compr Cancer Netw: JNCCN 17(5):506–513
McNeal JE, Haillot O (2001) Patterns of spread of adenocarcinoma in the prostate as related to cancer volume. Prostate 49(1):48–57
Memorial Sloan Kettering Cancer Center (2022) Prostate cancer nomograms pre-radical prostatectom
Muehlematter UJ et al (2019) Diagnostic accuracy of multiparametric MRI versus 68 Ga-PSMA-11 PET/MRI for extracapsular extension and seminal vesicle invasion in patients with prostate cancer. Radiology 293(2):350–358
Oerther B et al (2021) Cancer detection rates of the PI-RADSv21 assessment categories: systematic review and meta-analysis on lesion level and patient level. Prostate Cancer Prostatic Dis 25(2):256–263
Patel VR et al (2018) A novel tool for predicting extracapsular extension during graded partial nerve. BJU Int 121(3):373–382
Rayn KN et al (2018) Added value of multiparametric magnetic resonance imaging to clinical nomograms for predicting adverse pathology in prostate cancer. J Urol 200(5):1041–1047
Rud E et al (2015) Does preoperative magnetic resonance imaging reduce the rate of positive surgical margins at radical prostatectomy in a randomised clinical trial? Eur Urol 68(3):487–496
Shannon BA, McNeal JE, Cohen RJ (2003) Transition zone carcinoma of the prostate gland: a common indolent tumour type that occasionally manifests aggressive behaviour. Pathology 35(6):467–471
Tosco L et al (2018) Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy: results of a prospective, multi-institutional, nationwide series. Eur Urol Oncol 1(4):338–345
Tosoian JJ et al (2017) Prediction of pathological stage based on clinical stage, serum prostate-specific antigen, and biopsy Gleason score: partin tables in the contemporary era. BJU Int 119(5):676–683
Turkbey B et al (2019) Prostate Imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol 76(3):340–351
Funding
This work was supported by two grants from the Jiangsu Provincial Key Research and Development Program (No.BE2020655 and No. BE2020654) and a grant from the General Program of Jiangsu Health Commission (No. H2019040) and a grant from the Gusu Health Personnel Training Project of Suzhou City (No. GSWS2019033) and a grant from the National Natural Science Foundation of China (No. 32200533).
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Contributions
XC and WL contributed equally to this work. Conceptualization, XW, YH, JH, and XC; methodology, XW, XC, and WL; data curation, XC, WL, JY, CH, and CZ; formal analysis: XC, WL, JY, YC, and YL; validation, XC, WL, YC, YL, CH and CZ; writing—original draft preparation, all authors; writing—review and editing, all authors; supervision, XW, YH, and JH. All authors have read and agreed to the published version of the manuscript.
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This study was approved by the Institutional Review Board of First Affiliated Hospital of Soochow University (approval number: NO. 2022 (239)).
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432_2023_4573_MOESM1_ESM.tif
Supplement 1 Analysis of various factors revealed the missed detection of ECE in the study cohort. The missed detection of ECE may be related to smaller lesion volume ratio, NPN, lesion volume, LDL, tPSA, PSAD and ISUP (biopsy) grade and larger TZ volume ratio (P<0.05), but not with age, prostate volume, TZ volume, PZ volume and f/tPSA (P>0.05). Supplementary file1 (TIF 1704 KB)
432_2023_4573_MOESM2_ESM.tif
Supplement 2 Correlation analysis of various factors and missed ECE in the TZ group. The missed detection of ECE in TZ tumors was related to smaller PZV and PSAD (P<0.05), but not related to NPN, prostate volume, TZ volume, TZ volume ratio, PZ volume ratio, age, ISUP grade (biopsy), tPSA, and the location of TZ lesions on MRI scans(P>0.05). LTZ, left transition zone; RTZ, right transition zone; TZa, front transition zone; TZp, back transition zone, divided according to the PI-RADS guidelines. Supplementary file2 (TIF 1299 KB)
432_2023_4573_MOESM3_ESM.tif
Supplement 3 Correlation analysis of various factors and pECE occurrence in mECE- patients with TZ tumors. pECE occurrence was not related to age, f/tPSA, PSAD, prostate volume, TZ volume, TZ volume ratio, PZ volume ratio, and the location of TZ lesions on MRI scans (P>0.05). Supplementary file3 (TIF 918 KB)
432_2023_4573_MOESM4_ESM.tif
Supplement 4 Establishment of a clinical risk prediction model for pECE in mECE- patients with TZ tumors. (a) Single-factor logistics regression analysis of pECE-related factors in mECE- patients with TZ tumors. (b) Multivariate logistic regression analysis of pECE-related factors in mECE- patients with TZ tumors. (c) Correlation analysis of significant factors for pECE in mECE- patients with TZ tumors. Supplementary file4 (TIF 2155 KB)
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Chen, X., Li, W., Yang, J. et al. Extracapsular extension of transitional zone prostate cancer miss-detected by multiparametric magnetic resonance imaging. J Cancer Res Clin Oncol 149, 6943–6952 (2023). https://doi.org/10.1007/s00432-023-04573-w
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DOI: https://doi.org/10.1007/s00432-023-04573-w