Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 21 December 2023
Sec. Surgical Oncology

Use of PIRADS 2.1 to predict capsular invasion in patients with radiologic T3a prostate cancer

Wan SongWan SongKwang Jin KoKwang Jin KoJae Kyung LeeJae Kyung LeeMinyong KangMinyong KangHyun Hwan SungHyun Hwan SungHwang Gyun JeonHwang Gyun JeonByong Chang JeongByong Chang JeongSeong IL SeoSeong IL SeoSeong Soo JeonSeong Soo JeonJae Hoon Chung*Jae Hoon Chung*
  • Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

Objective: Using multi-parametric magnetic resonance imaging (mpMRI) to identify patients with clinical T3a (cT3a) who were overestimated on mpMRI with final pathological T2 (pT2). To suggest that the neurovascular bundle (NVB) can be preserved by evaluating the characteristics of patients according to their pathological grade among cT3a prostate cancer (PCa) patients using mpMRI.

Materials and methods: Patients who underwent robot-assisted laparoscopic radical prostatectomy (RALP) were retrospectively analyzed and those patients with clinical T3aN0M0 were enrolled. These enrolled patients were divided into a localized cancer group with pT2 PCa and a locally advanced group with pT3a or higher. Factors affecting the diagnosis of localized PCa after RALP in patients with cT3a PCa were evaluated.

Results: Among the preoperative parameters of patients with cT3a PCa, the prostate specific antigen density (PSAD) (OR: 3.76, 95% CI: 1.85–7.64, p<0.001), international society of urological pathology (ISUP) grade (p<0.05), and index lesion size (OR: 1.44, 95% CI: 1.85–7.64, p<0.001) were significantly associated with pathological locally advanced PCa. Optimal cut-off values for prediction of pT3a or higher were 0.36 ng/mL2 for PSAD (sensitivity: 55.7%, specificity: 70.8%), 1.77 cm for index lesion size (sensitivity: 54.3%, specificity: 66.0%), and 2.5 for ISUP grading (sensitivity: 67.6%, specificity: 53.2%). For prediction of pT3a or higher among patients with cT3a PCa, a nomogram was developed using ISUP grade, index lesion size, and PSAD on prostate biopsy (area under the curve: 0.71, 95% CI: 0.670–0.754, p<0.001). PSAD less than 0.36 index lesion size less than 1.77 cm, and biopsy ISUP grade 1–2 are highly likely to indicate that there is no actual extracapsular extension in cT3a PCa patients.

Conclusions: PSAD, ISUP, and index lesion size showed significant associations with the classification of pathologic localized and locally advanced PCa in patients with cT3a PCa. A nomogram including these features can predict the diagnosis of locally advanced PCa in patients with cT3a PCa.

Introduction

Prostate cancer (PCa) is a common malignancy worldwide (1), and locally advanced prostate cancer (PCa) is a very high-risk disease with a high rate of biochemical recurrence, metastasis, and death (2). Although the optimal treatment for locally advanced PCa is not established (3, 4), robot-assisted laparoscopic radical prostatectomy (RALP) for locally advanced PCa is reported as a primary treatment with promising oncological outcomes (5, 6).

Although RALP may result in complete oncological resection, some patients could expect functional outcomes such as continence and potency because the neurovascular bundle (NVB) is preserved (7); continence and erectile function are two major concerns affecting the quality of life following surgery for PCa (8). The degree and methods of NVB preservation have been described in a variety of ways, but the grading by Srivastava et al. is widely used (9). The grade of NVB preservation is generally determined pre-operatively according to the clinical stage and risk. In particular, if findings of extracapsular extension (ECE) are observed on preoperative multiparametric magnetic resonance imaging (mpMRI), either both NVBs are sacrificed or only the NVB of the contralateral aspect is preserved (10). However, NVB preservation is an essential prerequisite for recovery of continence and potency after RALP, and when the NBV is sacrificed, the post-surgical quality of life is inevitably reduced (11).

Previous studies evaluating pre-biopsy mpMRI have demonstrated the effectiveness of mpMRI for tumor localization (12, 13). However, only a few studies have been conducted on the predictive accuracy of mpMRI for ECE. For prediction of ECE, mpMRI was shown to have higher accuracy than digital rectal examination, prostate specific antigen (PSA), and biopsy Gleason score (14). However, the sensitivity, specificity, PPV, and NPV of mpMRI for prediction of T3a have not been fully assessed, and there are many reports of inconsistent results (15). Therefore, the Prostate Imaging Reporting And Data System (PIRADS) v2.1 suggested some risk factors for T3a prostate cancer, such as capsular abutment, capsular irregularity, spiculation or retraction, neurovascular bundle asymmetry or thickening, obliteration of the recto-prostatic angle, tumor-capsular contact >10 mm, bulge or loss of capsule, and measurable extracapsular disease (16). Moreover, a study comparing this grading system to a Likert scale showed equivalent diagnostic performance, but also that the Likert scale does not rely on any specific criteria and is very subjective (17).

Despite these guidelines, the false positive rate of cT3a prostate cancer on mpMRI is reported as being as high as 50% (18). In this study, we aimed to use mpMRI to identify those patients with cT3a who are suitable for NVB preservation by evaluating the characteristics of patients with final pathological T2 or false positive cT3a.

Materials and methods

Patients & design

Patients who underwent RALP at our hospital between March 2020 and February 2023 were retrospectively assessed. RALP was performed by eight urologists. Among them, those patients with clinical T3aN0M0 who underwent RALP were identified. The inclusion criteria were patients who underwent RALP for prostate cancer and who had ECE on mpMRI. The exclusion criteria were neoadjuvant treatment such as androgen deprivation therapy, no preoperative mpMRI, and N1 status according to pathologic reports. The enrolled patients were divided into a group with localized pT2 PCa and a group with locally advanced PCa of pT3a or higher. Factors affecting the diagnosis of localized PCa after RALP in patients with cT3a PCa were evaluated.

Of the 2757 patients who underwent RALP during the study period, 694 patients with cT3a were identified. Fifty of the 694 patients underwent neoadjuvant ADT, and preoperative mpMRI data were not available for 10 further patients. In addition, 11 patients were excluded from this study because of pathologic N1 stage, leaving 623 patients for the final analysis. The final pathology results identified 40.13% (250/623) of these patients as having T2 prostate cancer. Of the remaining 373 patients, 294 were diagnosed with T3a, 78 with T3b, and one with T4 (Figure 1).

Figure 1
www.frontiersin.org

Figure 1 Flow diagram of patient inclusion.

Clinicopathological parameters

The baseline characteristics of the patients, including age at RALP, body mass index, underlying disease, familial history, 5α-reductase inhibitor (5ARI) administration history, PSA level, prostate volume (measured by MRI), prostate density, and biopsy results were assessed. On mpMRI, the PIRADS score, size of the index lesion, and number of PIRADS 3–5 lesions were recorded. Pathologic assessment was performed by two uro-pathologists. Pathologic reporting for biopsy and RALP specimens was randomly assessed by two uro-pathologists.

mpMRI

Multiparametric MRI was performed using a 3.0-Tesla MRI scanner with a pelvic phased-array coil and without an endorectal coil. T2-weighted, diffusion-weighted, and dynamic contrast-enhanced sequences were acquired according to the minimum standards set by consensus guidelines (19). The mpMRI was analyzed by four uro-radiologists using PIRADS version 2.1 (16).

Statistical analysis

The groups were compared using the chi-square test for categorical variables and the Student’s t-test for continuous variables. Logistic regression analysis was performed to evaluate preoperative factors affecting pT3a prostate cancer. The diagnostic ability of each parameter was assessed using the area under the curve (AUC) metric of the receiver operating characteristic (ROC). The cutoff value for the prediction of pT3a PCa was assessed by ROC curve analysis, and the cutoff value, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were estimated using Youden’s index method. Statistical analyses were performed using SPSS (version 21.0) and R 3.6.1 (Vienna, Austria; http://www.R-project.org). The pROC and rms packages in R were used to develop the nomogram. All two-sided p-values < 0.05 were considered statistically significant.

Results

Preoperative parameters

The mean PSA was 9.64 ± 7.51 ng/mL in the localized PCa group (pT2) and 15.42 ± 14.54 ng/mL in the locally advanced PCa group (pT3a to T4; p<0.001). The mean PSA density (PSAD) was 0.33 ± 0.24 ng/mL2 in the localized PCa group and 0.51 ± 0.41 ng/mL2 in the locally advanced PCa group (p<0.001). The international society of urological pathology (ISUP) grade for the Gleason score on prostate biopsy showed a significantly higher proportion of high grades in the locally advanced PCa group than in the localized PCa group (p<0.001). The mean proportion of positive cores among the total biopsy cores was 43.49% ± 21.35% in the localized PCa group and 53.29% ± 24.80% in the locally advanced group (p<0.001). On mpMRI, the localized group had a lower ratio of PIRADS 5 index lesions than the locally advanced group, and the mean index lesion size was 1.65 ± 0.56 cm in the localized group and 1.95 ± 0.93 cm in the locally advanced group (p<0.001) (Table 1).

Table 1
www.frontiersin.org

Table 1 Baseline characteristics of clinical T3a prostate cancer (n=623).

Operative and pathologic outcomes

According to the final pathology reports, the rate of ISUP grades were significantly higher in the locally advanced PCa group (p<0.001). Compared to before RALP, the ISUP grade after surgery was downgraded in 21.35% (133/623), unchanged in 46.87% (292/623), and upgraded in 31.78% (198/623). Both perineural invasion and lymphovascular invasion showed significantly higher rates in the locally advanced group than in the localized PCa group (p<0.05). Tumor volume was also higher in the locally advanced group than in the localized group (15.31 ± 12.29% vs 28.05 ± 19.12%, p<0.001), but multifocality was lower in the locally advanced group (45.04%) than in the localized group (53.60%; p=0.036). The rate of margin involvement was 8.80% in the localized group and 37.00% in the locally advanced group (p<0.001). PSA persistence was present in 3.60% of the localized group and 14.75% of the locally advanced group (P<0.001), and biochemical recurrence occurred in 2.80% of the localized group and 11.53% of the locally advanced group (P<0.001) (Table 2).

Table 2
www.frontiersin.org

Table 2 Surgical and oncological outcomes.

Logistic regression analysis

Among the preoperative parameters of the patients with cT3a PCa, PSAD (OR: 3.76, 95% CI: 1.85–7.64, p<0.001), ISUP grade (p<0.05), and index lesion size (OR: 1.44, 95% CI: 1.85–7.64, p<0.001) were significantly associated with pathologic locally advanced PCa (Table 3).

Table 3
www.frontiersin.org

Table 3 Logistic regression analysis for locally advanced prostate cancer.

Prediction of locally advanced prostate cancer among cT3a patients

The areas under the curve (AUCs) for prediction of locally advanced prostate cancer were 0.67 (95% CI: 0.62–0.71, p<0.001) for PSAD, 0.62 (95% CI: 0.57–0.66, p<0.001) for index lesion size, and 0.63 (95% CI: 0.59–0.67, p<0.001) for ISUP grading (Figure 2). The optimal cut-off values were 0.36 (sensitivity: 55.7%, specificity: 70.8%) for PSAD, 1.78 (sensitivity: 54.3%, specificity: 66.0%) for index lesion size, and 2.5 (sensitivity: 67.6%, specificity: 53.2%) for ISUP grading (Table 4). PSAD less than 0.36, index lesion size less than 1.77 cm, and biopsy ISUP grade 1–2 are highly likely to indicate that there is no actual extracapsular extension in cT3a PCa patients.

Figure 2
www.frontiersin.org

Figure 2 Prediction of locally advanced prostate cancer in patients with cT3a grade.

Table 4
www.frontiersin.org

Table 4 Cut-off values for prediction of pT3a prostate cancer.

For prediction of pT3a among patients with cT3a PCa, a nomogram was developed using ISUP grade, index lesion size, and PSAD on prostate biopsy (Figure 3). The AUC of this nomogram was 0.71 (95% CI: 0.67–0.75, p<0.001).

Figure 3
www.frontiersin.org

Figure 3 Nomogram for prediction of pT3a in patients with cT3a prostate cancer.

Discussion

Local staging is an essential step in determining the plan for PCa treatment (20). Clinical T3a PCa is classified as high risk because of the high recurrence rate, regardless of the PSA level or ISUP grade (4). Among the treatments for high-risk PCa, radical prostatectomy may provide a chance of cure, and its effectiveness as a part of multimodal treatment is well known (21). However, in prostatectomy of T3a PCa there is a high risk of a positive surgical margin and biochemical recurrence. Moreover, alterations in surgical strategy according to clinical stage can affect urinary continence and sexual potency (22). Satisfactory oncological and functional outcomes can be expected if the operation is performed with localization of radiologic ECE and a suitable surgical strategy; however, if the radiologically localized ECE region does not actually have capsular extension, the NVB may be unnecessarily sacrificed, which inevitably causes discomfort to the patient. Therefore, mpMRI findings play a very important role in determining the surgical treatment.

Recently, mpMRI for local staging using T2-weighted images and advanced techniques such as diffusion-weighted imaging and perfusion imaging has increasingly been employed. However, the accuracy of mpMRI for local staging is not all that high (23); in this study, 40.13% of patients with cT3a PCa were overestimated on mpMRI staging, 12.68% were under-estimated, and 47.19% were properly evaluated. Moreover, among the 2,757 RALP patients, 1,810 were diagnosed with cT2 PCa without neoadjuvant ADT. Among them 16.08%; pT3a (10.50%, 190/1810) or pT3b (3.76%, 68/1810), were under-estimated as localized prostate cancer; cT2a: pT3a (8.53%, 59/692) or pT3b (2.60%, 18/692); cT2b: pT3a (14.55%, 55/378) or pT3b (3.17%, 12/378); cT3c: pT3a (14.73%, 109/740) or pT3b (5.14%, 38/740). However, these data can be overestimated because we excluded patients with N1 in the pathological report.

The Partin table and the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram are widely used tools for PCa risk classification (24, 25). The Partin table allows risk assessment for prostate cancer below cT2c, and the MSKCC provides survival and extent of disease probability using the history of androgen deprivation therapy and radiation therapy, age, PSA, Gleason score, and percentage of positive biopsy core. The MSKCC nomogram is a tool that can evaluate the probability of actual ECE when ECE is suspected on mpMRI. However, external validation of the prediction of ECE according to the MSKCC pre-prostatectomy nomogram reported AUCs of only 0.61–0.67 (26). In addition, the MSKCC nomogram includes the percentage of positive biopsy cores. Currently, a combined biopsy based on the pre-biopsy mpMRI is widely performed, with a multi-core targeted biopsy being performed on the index lesion. However, following the MSKCC pre-prostatectomy nomogram can result in the risk of ECE being overestimated in those patients who have undergone such a multi-core targeted biopsy.

In addition to clinical parameters such as PSA and Gleason score, mpMRI now plays a large role in clinical staging with the development of mpMRI technology and interpretation standards (27). The classification criteria include PIRADS v2.1 and a grading system with a Likert scale for evaluating ECE on mpMRI (16, 17). In this study, the uro-radiologists interpreted the mpMRI using PIRADS 2.1 and the Likert scale. However, interpretations according to these guides are subject to the subjective judgment of the radiologists involved. In addition, overestimation may occur if the index lesion is in contact with the capsule.

To supplement these aids, several nomograms for staging using mpMRI and clinical parameters have been reported. Bernard et al. assessed prediction of pT3-4 PCa using MSKCC, the Partin nomogram, and mpMRI, and reported that adding mpMRI was not significantly helpful for predicting locally advanced PCa (28). Gandaglia et al. reported that biopsy results and PIRADS ver. 2.0 were helpful for predicting adverse pathological features (29), although they evaluated adverse pathological features in patients with localized prostate cancer. However, Diamand et at. performed external validation of the nomogram of Gandaglia et al. and reported that the improvement in patient selection did not meet expectations (30). In addition, most of the studies to date have been on the evaluation of nodal status, ECE, and seminal vesicle invasion in only localized PCa.

Therefore, we conducted this study to find localized PCa in patients radiologically determined as T3a PCa. Currently, a large number of patients with locally advanced PCa choose RALP as a treatment. For RALP, differentiation between T2 and T3a is essential for determining the NVBS technique. In this study, factors affecting the classification of cT3a PCa into pathologic T2 T3a were evaluated, and a predictive model was developed. The significance of this study is that it might enable treatment with maximal preservation of functional outcomes while maintaining oncological outcomes in patients with cT3a PCa. The AUC of the nomogram in this study was 0.71 (95% CI: 0.67–0.75), which was far from optimal, but could be clinically helpful by suggesting a cut-off value. In this study, we retrospectively estimated that 13.16% (82/623) of the patients with cT3a PCa could have undergone NVB preservation. It is recommended to perform NVB preservation in such patients, but sufficient informed patient consent is important, and capsule violation must be very carefully avoided during surgery.

A limitation of this study is its retrospective design. Moreover, in the radiological evaluation, the degree of ECE on mpMRI, such as suspected, focal or extensive, could not be assessed in this study. However, the study enrolled a relatively large number of cT3a patients who received RALP. In addition, the nomogram has a relatively low AUC value and has not been externally validated. Despite these limitations, this study is the first to propose parameters for selecting patients with cT3a PCa (according to PIRADS ver. 2.1), who overestimated the preoperative radiological evaluation, could have undergone NVB preservation.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Samsung Medical Center, Seoul, Korea. The studies were conducted in accordance with the local legislation and institutional requirements. The requirement for informed patient consent was waived by the board because of the retrospective nature of the study.

Author contributions

WS: Data curation, Formal Analysis, Methodology, Project administration, Resources, Validation, Writing – original draft, Writing – review & editing. KK: Methodology, Resources, Writing – review & editing. JL: Methodology, Resources, Writing – review & editing. MK: Methodology, Resources, Writing – review & editing. HS: Methodology, Resources, Writing – review & editing. HJ: Methodology, Resources, Writing – review & editing. BJ: Methodology, Resources, Writing – review & editing. SS: Methodology, Resources, Writing – review & editing. SJ: Methodology, Resources, Writing – review & editing. HJ: Methodology, Resources, Writing – review & editing. JC: Conceptualization, Formal Analysis, Investigation, Methodology, Project administration, Software, Supervision, Visualization, Writing – original draft, Writing – review & editing.

Funding

This research was supported by the Basic Science Research Program through a National Research Foundation of Korea grant funded by the Ministry of Science, ICT, & Future Planning (NRF-2022R1F1A107468012).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lowrance WT, Elkin EB, Yee DS, Feifer A, Ehdaie B, Jacks LM, et al. Locally advanced prostate cancer: a population-based study of treatment patterns. BJU Int (2012) 109(9):1309–14. doi: 10.1111/j.1464-410X.2011.10760.x

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, De Santis M, et al. EAU-ESTRO-SIOG guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol (2017) 71(4):618–29. doi: 10.1016/j.eururo.2016.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Mottet N, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG, De Santis M, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer-2020 update. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol (2021) 79(2):243–62. doi: 10.1016/j.eururo.2020.09.042

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Saika T, Miura N, Fukumoto T, Yanagihara Y, Miyauchi Y, Kikugawa T. Role of robot-assisted radical prostatectomy in locally advanced prostate cancer. Int J Urol (2018) 25(1):30–5. doi: 10.1111/iju.13441

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Pansadoro V, Brassetti A. Extrafascial robot-assisted laparoscopic radical prostatectomy in locally advanced prostate cancer. Minerva Chir (2019) 74(1):78–87. doi: 10.23736/s0026-4733.18.07759-3

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Narayan P. Nerve sparing and continence preservation during radical prostatectomy. Urol Int (1991) 46(3):266–74. doi: 10.1159/000282149

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kan RW, Kan CF, Ho LY, Chan SW. Pre-operative tumor localization and evaluation of extra-capsular extension of prostate cancer: how misleading can it be? Urol J (2014) 11(3):1615–9. doi: 10.22037/uj.v11i3.2113

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Srivastava A, Chopra S, Pham A, Sooriakumaran P, Durand M, Chughtai B, et al. Effect of a risk-stratified grade of nerve-sparing technique on early return of continence after robot-assisted laparoscopic radical prostatectomy. Eur Urol (2013) 63(3):438–44. doi: 10.1016/j.eururo.2012.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Huland H, Hübner D, Henke RP. Systematic biopsies and digital rectal examination to identify the nerve-sparing side for radical prostatectomy without risk of positive margin in patients with clinical stage T2, N0 prostatic carcinoma. Urology (1994) 44(2):211–4. doi: 10.1016/s0090-4295(94)80133-9

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Brehmer B, Kirschner-Hermanns R, Donner A, Reineke T, Knüchel-Clarke R, Jakse G. Efficacy of unilateral nerve sparing in radical perineal prostatectomy. Urol Int (2005) 74(4):308–14. doi: 10.1159/000084428

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ahdoot M, Wilbur AR, Reese SE, Lebastchi AH, Mehralivand S, Gomella PT, et al. MRI-targeted, systematic, and combined biopsy for prostate cancer diagnosis. N Engl J Med (2020) 382(10):917–28. doi: 10.1056/NEJMoa1910038

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet (2017) 389(10071):815–22. doi: 10.1016/s0140-6736(16)32401-1

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Mullerad M, Hricak H, Kuroiwa K, Pucar D, Chen HN, Kattan MW, et al. Comparison of endorectal magnetic resonance imaging, guided prostate biopsy and digital rectal examination in the preoperative anatomical localization of prostate cancer. J Urol (2005) 174(6):2158–63. doi: 10.1097/01.ju.0000181224.95276.82

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Engelbrecht MR, Jager GJ, Laheij RJ, Verbeek AL, van Lier HJ, Barentsz JO. Local staging of prostate cancer using magnetic resonance imaging: a meta-analysis. Eur Radiol (2002) 12(9):2294–302. doi: 10.1007/s00330-002-1389-z

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol (2019) 76(3):340–51. doi: 10.1016/j.eururo.2019.02.033

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Reisæter LAR, Halvorsen OJ, Beisland C, Honoré A, Gravdal K, Losnegård A, et al. Assessing extraprostatic extension with multiparametric MRI of the prostate: mehralivand extraprostatic extension grade or extraprostatic extension likert scale? Radiol Imaging Cancer (2020) 2(1):e190071. doi: 10.1148/rycan.2019190071

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Falagario UG, Jambor I, Ratnani P, Martini A, Treacy PJ, Wajswol E, et al. Performance of prostate multiparametric MRI for prediction of prostate cancer extra-prostatic extension according to NCCN risk categories: implication for surgical planning. Minerva Urol Nefrol (2020) 72(6):746–54. doi: 10.23736/s0393-2249.20.03688-7

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Dickinson L, Ahmed HU, Allen C, Barentsz JO, Carey B, Futterer JJ, et al. Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting. Eur Urol (2011) 59(4):477–94. doi: 10.1016/j.eururo.2010.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Yossepowitch O, Eggener SE, Bianco FJ Jr., Carver BS, Serio A, Scardino PT, et al. Radical prostatectomy for clinically localized, high risk prostate cancer: critical analysis of risk assessment methods. J Urol (2007) 178(2):493–9. doi: 10.1016/j.juro.2007.03.105

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gandaglia G, De Lorenzis E, Novara G, Fossati N, De Groote R, Dovey Z, et al. Robot-assisted radical prostatectomy and extended pelvic lymph node dissection in patients with locally-advanced prostate cancer. Eur Urol (2017) 71(2):249–56. doi: 10.1016/j.eururo.2016.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Zhang L, Wu B, Zha Z, Zhao H, Yuan J, Jiang Y, et al. Surgical margin status and its impact on prostate cancer prognosis after radical prostatectomy: a meta-analysis. World J Urol (2018) 36(11):1803–15. doi: 10.1007/s00345-018-2333-4

PubMed Abstract | CrossRef Full Text | Google Scholar

23. de Rooij M, Hamoen EH, Witjes JA, Barentsz JO, Rovers MM. Accuracy of magnetic resonance imaging for local staging of prostate cancer: A diagnostic meta-analysis. Eur Urol (2016) 70(2):233–45. doi: 10.1016/j.eururo.2015.07.029

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Cagiannos I, Karakiewicz P, Eastham JA, Ohori M, Rabbani F, Gerigk C, et al. A preoperative nomogram identifying decreased risk of positive pelvic lymph nodes in patients with prostate cancer. J Urol (2003) 170(5):1798–803. doi: 10.1097/01.ju.0000091805.98960.13

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tosoian JJ, Chappidi M, Feng Z, Humphreys EB, Han M, Pavlovich CP, et al. Prediction of pathological stage based on clinical stage, serum prostate-specific antigen, and biopsy Gleason score: Partin Tables in the contemporary era. BJU Int (2017) 119(5):676–83. doi: 10.1111/bju.13573

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Glaser ZA, Gordetsky JB, Bae S, Nix JW, Porter KK, Rais-Bahrami S. Evaluation of MSKCC Preprostatectomy nomogram in men who undergo MRI-targeted prostate biopsy prior to radical prostatectomy. Urol Oncol (2019) 37(12):970–5. doi: 10.1016/j.urolonc.2019.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Jansen BHE, Oudshoorn FHK, Tijans A M, Yska MJ, Lont AP, Collette ERP, et al. Local staging with multiparametric MRI in daily clinical practice: diagnostic accuracy and evaluation of a radiologic learning curve. World J Urol (2018) 36(9):1409–15. doi: 10.1007/s00345-018-2295-6

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Jansen BHE, Nieuwenhuijzen JA, Oprea-Lager DE, Yska MJ, Lont AP, van Moorselaar RJA, et al. Adding multiparametric MRI to the MSKCC and Partin nomograms for primary prostate cancer: Improving local tumor staging? Urol Oncol (2019) 37(3):181:e1-.e6. doi: 10.1016/j.urolonc.2018.10.026

CrossRef Full Text | Google Scholar

29. Gandaglia G, Ploussard G, Valerio M, Mattei A, Fiori C, Roumiguié M, et al. 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 (2020) 77(6):733–41. doi: 10.1016/j.eururo.2019.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Diamand R, Ploussard G, Roumiguié M, Oderda M, Benamran D, Fiard G, et al. 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 (2021) 79(2):180–5. doi: 10.1016/j.eururo.2020.09.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: prostate cancer, magnetic resonance imaging, nomograms, prostatectomy, prostate special antigen

Citation: Song W, Ko KJ, Lee JK, Kang M, Sung HH, Jeon HG, Jeong BC, Seo SI, Jeon SS and Chung JH (2023) Use of PIRADS 2.1 to predict capsular invasion in patients with radiologic T3a prostate cancer. Front. Oncol. 13:1256153. doi: 10.3389/fonc.2023.1256153

Received: 10 July 2023; Accepted: 06 November 2023;
Published: 21 December 2023.

Edited by:

Angelo Naselli, MultiMedica Holding SpA (IRCCS), Italy

Reviewed by:

Jianbo Li, Case Western Reserve University, United States
José Ignacio Nolazco, Harvard Medical School, United States
Jose Eduardo Tavora, Faculdade de Ciências Médicas de Minas Gerais (FCMMG), Brazil

Copyright © 2023 Song, Ko, Lee, Kang, Sung, Jeon, Jeong, Seo, Jeon and Chung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jae Hoon Chung, ZHIuamhjaHVuZ0BnbWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.