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Li K, Zhang Y, Tian S, Su Q, Mei Y, Shi W, Cao J, Song L. Analysis of factors associated with positive surgical margins and the five-year survival rate after prostate cancer resection and predictive modeling. Front Oncol 2024; 14:1360404. [PMID: 38903708 PMCID: PMC11187091 DOI: 10.3389/fonc.2024.1360404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/12/2024] [Indexed: 06/22/2024] Open
Abstract
Background This study analyzed the risk factors associated with positive surgical margins (PSM) and five-year survival after prostate cancer resection to construct a positive margin prediction model. Methods We retrospectively analyzed the clinical data of 148 patients treated with prostatectomy. The patients were divided into PSM group and Negative surgical margins (NSM) group. Several parameters were compared between the groups. All patients were followed up for 60 months. The risk factors for PSM and five-year survival were evaluated by univariate analysis, followed by multifactorial dichotomous logistic regression analysis. Finally, ROC curves were plotted for the risk factors to establish a predictive model for PSM after prostate cancer resection. Results (1) Serum PSA, percentage of positive puncture stitches, clinical stage, surgical approach, Gleason score on puncture biopsy, and perineural invasion were significantly associated with the risk of PSM (P < 0.05). Serum PSA, perineural invasion, Gleason score on puncture biopsy, and percentage of positive puncture stitches were independent risk factors for PSM. (2) Total prostate-specific antigen (tPSA) by puncture, nutritional status, lymph node metastasis, bone metastasis, and seminal vesicle invasion may be risk factors for five-year survival. Lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. (3) After plotting the ROC curve, the area under the curve (AUC) [AUC: 0.776, 95%, confidence interval (CI): 0.725 to 0.854] was found to be a valid predictor of PSM; the AUC [AUC: 0.664, 95%, confidence interval (CI): 0.576 to 0.753] was also a valid predictor of five-year survival (P < 0.05). (4) The scoring system had a standard error of 0.02 and a cut-off value of 6. It predicted PSM after prostate cancer resection with moderate efficacy. Conclusions Serum PSA, perineural invasion, puncture biopsy Gleason score, and percentage of positive puncture stitches were independent risk factors for positive surgical margins (PSM). Also, lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. Overall, the prediction efficacy of this scoring system concerning the risk of PSM after prostate cancer resection was moderate.
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Affiliation(s)
- Kai Li
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Yantao Zhang
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Sinan Tian
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Qingguo Su
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Yanhui Mei
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Wei Shi
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Jingyuan Cao
- Department of Urology, Binzhou Medical University Hospital, Binzhou, China
| | - Lijuan Song
- Department of Anesthesiology, Binzhou Medical University Hospital, Binzhou, China
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Wang H, Xie D, Wang S, Wu L, Chu Y, Yang P, He W, Wang J. The value of preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell distribution width in predicting positive surgical margin after laparoscopic radical prostatectomy. Cancer Rep (Hoboken) 2024; 7:e1977. [PMID: 38258491 PMCID: PMC10849998 DOI: 10.1002/cnr2.1977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/07/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Prostate cancer (PCa) is one of the most common malignant tumors in men, and laparoscopic radical prostatectomy (LRP) is commonly used to treat localized and advanced PCa. Positive surgical margin (PSM) is one of the most frequent problems faced by surgeons. AIMS This study aimed to explore the value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in predicting PSM after LRP. METHODS AND RESULTS Three hundred and twenty patients with PCa were admitted and underwent LRP in Beijing Chaoyang Hospital from January 2017 to June 2023. Patients were randomly divided into a training set (225 cases) and a validation set (95 cases) in a 7:3 ratio. NLR, PLR, and RDW were significantly higher in the PSM group than in the negative surgical margins (NSM) group. In addition, the NLR, PLR, and RDW values correlated with clinical T stage, Gleason score, and seminal vesicle invasion in the PSM group. In training set, ROC curve analysis revealed that the optimal cutoff values of NLR, PLR, and RDW for predicting postoperative PSM in PCa were 2.31, 115.40, and 12.85%, respectively. Multivariate Logistic regression analysis showed NLR and RDW were the clinical independent predictors. The area under the curve (AUC, 0.770, 95% CI 0.709-0.831) for postoperative PSM was the highest when a combination of the three parameters was used, with sensitivity and specificity of 62.5% and 85.2%, respectively. In validation set, the AUC values for NLR, PLR, RDW and the three markers combined were 0.708, 0.675, 0.723, and 0.780, respectively. Correlation analysis showed that in the PSM group, NLR was positively correlated with PLR and RDW, and PLR was positively correlated with RDW. By contrast, in the NSM group, a positive association was only found between NLR and PLR. CONCLUSIONS Higher preoperative NLR, PLR, and RDW values were associated with postoperative PSM. Additionally, the three markers combined may be useful to predict PSM.
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Affiliation(s)
- Hao Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Dawei Xie
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Siqi Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Liyang Wu
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Yifan Chu
- Department of UrologyCapital Medical University Daxing Teaching HospitalBeijingChina
| | - Pushen Yang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Weifeng He
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Jianwen Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
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Beckmann KR, O'Callaghan ME, Vincent AD, Moretti KL, Brook NR. Clinical outcomes for men with positive surgical margins after radical prostatectomy-results from the South Australian Prostate Cancer Clinical Outcomes Collaborative community-based registry. Asian J Urol 2023; 10:502-511. [PMID: 38024435 PMCID: PMC10659979 DOI: 10.1016/j.ajur.2022.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 12/16/2021] [Accepted: 02/08/2022] [Indexed: 10/14/2022] Open
Abstract
Objective Positive surgical margins (PSMs) after radical prostatectomy (RP) indicate failure of surgery to completely clear cancer. PSMs confer an increased risk of biochemical recurrence (BCR), but how more robust outcomes are affected is unclear. This study investigated factors associated with PSMs following RP and determined their impact on clinical outcomes (BCR, second treatment [radiotherapy and/or androgen deprivation therapy], and prostate cancer-specific mortality [PCSM]). Methods The study cohort included men diagnosed with prostate cancer (pT2-3b/N0/M0) between January 1998 and June 2016 who underwent RP from the South Australian Prostate Cancer Clinical Outcomes Collaborative database. Factors associated with risk of PSMs were identified using Poisson regression. The impact of PSMs on clinical outcomes (BCR, second treatment, and PCSM) was assessed using competing risk regression. Results Of the 2827 eligible participants, 28% had PSMs-10% apical, 6% bladder neck, 17% posterolateral, and 5% at multiple locations. Median follow-up was 9.6 years with 81 deaths from prostate cancer recorded. Likelihood of PSM increased with higher pathological grade and pathological tumor stage, and greater tumour volume, but decreased with increasing surgeon volume (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.88-0.98, per 100 previous prostatectomies). PSMs were associated with increased risk of BCR (adjusted sub-distribution hazard ratio [sHR] 2.5; 95% CI 2.1-3.1) and second treatment (sHR 2.9; 95% CI 2.4-3.5). Risk of BCR was increased similarly for each PSM location, but was higher for multiple margin sites. We found no association between PSMs and PCSM. Conclusion Our findings support previous research suggesting that PSMs are not independently associated with PCSM despite strong association with BCR. Reducing PSM rates remains an important objective, given the higher likelihood of secondary treatment with associated comorbidities.
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Affiliation(s)
- Kerri R. Beckmann
- Cancer Epidemiology and Population Health Research, University of South Australia, Adelaide, Australia
- Translational Oncology and Urology Research, Division of Pharmaceutical and Cancer Studies, Kings College London, London, UK
| | - Michael E. O'Callaghan
- South Australian Prostate Cancer Clinical Outcomes Collaborative, Flinders Medical Centre, Adelaide, Australia
| | - Andrew D. Vincent
- The Freemason's Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Kim L. Moretti
- Cancer Epidemiology and Population Health Research, University of South Australia, Adelaide, Australia
- South Australian Prostate Cancer Clinical Outcomes Collaborative, Flinders Medical Centre, Adelaide, Australia
- Discipline of Surgery, University of Adelaide, Adelaide, Australia
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Hao Y, Zhang Q, Hang J, Xu L, Zhang S, Guo H. Development of a Prediction Model for Positive Surgical Margin in Robot-Assisted Laparoscopic Radical Prostatectomy. Curr Oncol 2022; 29:9560-9571. [PMID: 36547165 PMCID: PMC9776736 DOI: 10.3390/curroncol29120751] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemical recurrence and tumor metastasis in prostate cancer after the operation. There are no clinically usable models and the study is to predict the probability of PSM after robot-assisted laparoscopic radical prostatectomy (RALP) based on preoperative examinations. It is a retrospective cohort from a single center. The Lasso method was applied for variable screening; logistic regression was employed to establish the final model; the strengthened bootstrap method was adopted for model internal verification; the nomogram and web calculator were used to visualize the model. All the statistical analyses were based on the R-4.1.2. The main outcome was a pathologically confirmed PSM. There were 151 PSMs in the 903 patients, for an overall positive rate of 151/903 = 16.7%; 0.727 was the adjusted C statistic, and the Brier value was 0.126. Hence, we have developed and validated a predictive model for PSM after RALP for prostate cancer that can be used in clinical practice. In the meantime, we observed that the International Society of Urological Pathology (ISUP) score, Prostate Imaging Reporting and Data System (PI-RADS) score, and Prostate-Specific Antigen (PSA) were the independent risk factors for PSM.
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Affiliation(s)
- Ying Hao
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing 210008, China
- Institute of Urology, Nanjing University, Nanjing 210008, China
| | - Qing Zhang
- Institute of Urology, Nanjing University, Nanjing 210008, China
| | - Junke Hang
- Institute of Urology, Nanjing University, Nanjing 210008, China
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China
| | - Linfeng Xu
- Institute of Urology, Nanjing University, Nanjing 210008, China
| | - Shiwei Zhang
- Institute of Urology, Nanjing University, Nanjing 210008, China
| | - Hongqian Guo
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing 210008, China
- Institute of Urology, Nanjing University, Nanjing 210008, China
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China
- Correspondence: ; Tel.: +86-83106666
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Meng S, Chen L, Zhang Q, Wang N, Liu A. Multiparametric MRI-based nomograms in predicting positive surgical margins of prostate cancer after laparoscopic radical prostatectomy. Front Oncol 2022; 12:973285. [PMID: 36172161 PMCID: PMC9510973 DOI: 10.3389/fonc.2022.973285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/11/2022] [Indexed: 11/26/2022] Open
Abstract
Background Positive surgical margins (PSMs) are an independent risk factor of biochemical recurrence in patients with prostate cancer (PCa) after laparoscopic radical prostatectomy; however, limited MRI-based predictive tools are available. This study aimed to develop a novel nomogram combining clinical and multiparametric MRI (mpMRI) parameters to reduce PSMs by improving surgical planning. Methods One hundred and three patients with PCa (55 patients with negative surgical margins [NSMs] and 48 patients with PSMs) were included in this retrospective study. The following parameters were obtained using GE Functool post-processing software: diffusion-weighted imaging (DWI); intravoxel incoherent motion model (IVIM); and diffusion kurtosis imaging (DKI). Patients were divided into different training sets and testing sets for different targets according to a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) regression algorithm was used to analyze the data set to select the optimal MRI predictors. Preoperatively clinical parameters used to build a clinical nomogram (C-nomogram). Multivariable logistic regression analysis was used to build an MRI nomogram (M-nomogram) by introducing the MRI parameters. Based on the MRI and clinical parameters, build an MRI combined with clinical parameters nomogram (MC-nomogram). Comparisons with the M-nomogram and MC-nomogram were based on discrimination, calibration, and decision curve analysis (DCA). A 3-fold cross-validation method was used to assess the stability of the nomogram. Results There was no statistical difference in AUC between the C-nomogram (sensitivity=64%, specificity=65% and AUC=0.683), the M-nomogram (sensitivity=57%, specificity=88% and AUC=0.735) and the MC-nomogram (sensitivity= 64%, specificity=82% and AUC=0.756). The calibration curves of the three nomograms used to predict the risk of PSMs in patients with PCa showed good agreement. The net benefit of the MC-nomogram was higher than the others (range, 0.2-0.7). Conclusions The mpMRI-based nomogram can predict PSMs in PCa patients. Although its AUC (0.735) is not statistically different from that of the clinical-based nomogram AUC (0.683). However, mpMRI-based nomogram has higher specificity (88% VS. 63%), model stability, and clinical benefit than clinical-based nomogram. And the predictive ability of mpMRI plus clinical parameters for PSMs is further improved.
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Kim M, Yoo D, Pyo J, Cho W. Clinicopathological Significances of Positive Surgical Resection Margin after Radical Prostatectomy for Prostatic Cancers: A Meta-Analysis. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58091251. [PMID: 36143928 PMCID: PMC9500731 DOI: 10.3390/medicina58091251] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/12/2022] [Accepted: 08/26/2022] [Indexed: 12/24/2022]
Abstract
Background and Objectives: This study aims to elucidate the positive rate and the clinicopathological significance of surgical margin after radical prostatectomy (RP) through a meta-analysis. Materials and Methods: This meta-analysis finally used 59 studies, including the information about the positive surgical margin (PSM) and those clinicopathological significances after RP. The subgroup analysis for the estimated rates of PSM was evaluated based on types of surgery, grade groups, and pathological tumor (pT) stages. We compared the clinicopathological correlations between positive and negative surgical margins (NSM). Results: The estimated PSM rate was 25.3% after RP (95% confidence interval [CI] 21.9-29.0%). The PSM rates were 26.0% (95% CI 21.5-31.1%) 28.0% (95% CI 20.2-37.5%) in robot-assisted RP and nerve-sparing RP, respectively. The PSM rate was significantly higher in high-grade groups than in low-grade groups. In addition, the higher pT stage subgroup had a high PSM rate compared to the lower pT stage subgroups. Patients with PSM showed significantly high PSA levels, frequent lymphovascular invasion, lymph node metastasis, and extraprostatic extension. Biochemical recurrences (BCRs) were 28.5% (95% CI 21.4-36.9%) and 11.8% (95% CI 8.1-16.9%) in PSM and NSM subgroups, respectively. Patients with PSM showed worse BCR-free survival than those with NSM (hazard ratio 2.368, 95% CI 2.043-2.744%). Conclusions: Our results showed that PSM was significantly correlated with worse clinicopathological characteristics and biochemical recurrence-free survival. Among the results in preoperative evaluations, grade group and tumor stage are useful for the prediction of PSM.
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Affiliation(s)
- Minseok Kim
- Department of Urology, Chosun University Hospital, Chosun University School of Medicine, Gwangju 61453, Korea
| | - Daeseon Yoo
- Department of Urology, Daejeon Eulji University Hospital, Eulji University School of Medicine, Daejeon 35233, Korea
| | - Jungsoo Pyo
- Department of Pathology, Uijeongbu Eulji University Hospital, Eulji University School of Medicine, Uijeongbu 11759, Korea
| | - Wonjin Cho
- Department of Urology, Chosun University Hospital, Chosun University School of Medicine, Gwangju 61453, Korea
- Correspondence: ; Tel.: +82-62-220-3210
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Qu W, Yu S, Tao J, Dong B, Fan Y, Du H, Deng H, Liu J, Zhang X. Evaluating Incidence, Location, and Predictors of Positive Surgical Margin Among Chinese Men Undergoing Robot-Assisted Radical Prostatectomy. Cancer Control 2021; 28:10732748211055265. [PMID: 34794321 PMCID: PMC8645302 DOI: 10.1177/10732748211055265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Purpose To evaluate the incidence and locations of positive surgical margin (PSM) among Chinese men undergoing RARP and identify the preoperative predictors for PSM. Methods We retrospectively identified 393 patients who underwent RARP according to inclusion criteria by single surgeon in our hospital. PSM was defined as the presence of cancer adjacent to inked surface of the specimen and categorized into four groups based on locations: apex, posterolateral, base, and multifocal. Logistic regression analysis was performed to identify the predictors of overall and location-specific PSM. Results The overall PSM rate was 133/393 (34%). The PSM rates for pT2, pT3, and pT4 stage were 63/278 (23%), 50/89 (56%), and 20/26 (77%), respectively. The estimated rates for apical, posterolateral, basal, and multifocal PSM were 8%, 4%, 7%, and 14%, respectively. In univariate analysis, overall PSM related to tPSA, f/tPSA, percentage of positive needles, and Gleason score. Multifocal PSM correlated with smoking history, drinking history, tPSA, f/tPSA, percentage of positive needles, and Gleason score. In multivariate analysis, percentage of positive needles reminded the only independent predictor for overall (OR = 10.5, 95% CI: 2.58–44.4) and basal PSM (OR = 24.0, 95% CI: 3.22–179.4). The f/tPSA (OR = 2.59, 95% CI: 2.18–5.71) and percentage of positive needles (OR = 31.0, 95% CI: 3.17–303) were independent risk factors for multifocal PSM. Conclusion The multifocal sites were the most common location of positive surgical margin, followed by apical and basal sites among Chinese patients undergoing RARP. The percentage of positive needles was an independent predictor for overall, basal, and multifocal PSM.
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Affiliation(s)
- Wugong Qu
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Shuanbao Yu
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Jin Tao
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Biao Dong
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Yafeng Fan
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Haopeng Du
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Haotian Deng
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Junxiao Liu
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
| | - Xuepei Zhang
- Department of Urology, The First Affiliated Hospital of 191599Zhengzhou University, Zhengzhou, China
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Alessi S, Maggioni R, Luzzago S, Colombo A, Pricolo P, Summers PE, Saia G, Manzoni M, Renne G, Marvaso G, De Cobelli O, Bellomi M, Jereczek-Fossa BA, Petralia G. Apparent Diffusion Coefficient and Other Preoperative Magnetic Resonance Imaging Features for the Prediction of Positive Surgical Margins in Prostate Cancer Patients Undergoing Radical Prostatectomy. Clin Genitourin Cancer 2021; 19:e335-e345. [PMID: 34023239 DOI: 10.1016/j.clgc.2021.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 04/02/2021] [Accepted: 04/05/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE To investigate the use of apparent diffusion coefficient (ADC) values and other MRI features for predicting positive surgical margins (PSMs) in patients undergoing radical prostatectomy. MATERIALS AND METHODS We retrospectively identified 400 consecutive patients who underwent surgery for prostate cancer between January 2015 and June 2016. ADC values of the index lesion and other preoperative magnetic resonance imaging features, including tumor site, laterality, level, Prostate Imaging Reporting and Data System category, European Society of Urogenital Radiology extracapsular extension score, and prostate volume, were assessed. Univariate and multivariable logistic regression were performed. Performance in predicting the occurrence of PSMs was measured using the area under the curve (AUC). AUC differences were evaluated with the DeLong method. The Youden index was calculated to identify the ADC threshold to best discriminate patients with PSMs. RESULTS Of the 400 patients, 105 (26.2%) had PSMs after radical prostatectomy. ADC values, Prostate Imaging Reporting and Data System category, extracapsular extension score, tumor site, and laterality were significantly associated with PSMs (P < .001) in univariate analysis. The AUC of the predictive model based on ADC alone was 68.2% (95% confidence interval, 62.2-74.2%) and did not significantly differ from the best multivariable predictive model which combined laterality, and site with ADC to attain an AUC of 70.0% (95% confidence interval, 64.2-75.8%; DeLong P = .318). The ADC threshold that maximized the Youden index was 960.3 µm2/s. CONCLUSION ADC values and preoperative magnetic resonance imaging features can help estimate the risk of PSMs after radical prostatectomy.
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Affiliation(s)
- Sarah Alessi
- Postgraduate School in Radiodiagnostics, University of Milan.
| | | | - Stefano Luzzago
- Department of Urology, IEO European Institute of Oncology IRCCS
| | - Alberto Colombo
- Division of Radiology, IEO European Institute of Oncology IRCCS
| | - Paola Pricolo
- Division of Radiology, IEO European Institute of Oncology IRCCS
| | - Paul E Summers
- Division of Radiology, IEO European Institute of Oncology IRCCS
| | - Giulia Saia
- Division of Radiology, IEO European Institute of Oncology IRCCS
| | - Marco Manzoni
- Uropathology and Intraoperative Diagnostic Division, IEO European Institute of Oncology IRCCS
| | - Giuseppe Renne
- Uropathology and Intraoperative Diagnostic Division, IEO European Institute of Oncology IRCCS
| | - Giulia Marvaso
- Division of Radiotherapy, IEO European Institute of Oncology IRCCS; Department of Oncology and Hemato-Oncology, University of Milan
| | - Ottavio De Cobelli
- Postgraduate School in Radiodiagnostics, University of Milan; Department of Oncology and Hemato-Oncology, University of Milan
| | - Massimo Bellomi
- Department of Urology, IEO European Institute of Oncology IRCCS; Department of Oncology and Hemato-Oncology, University of Milan
| | - Barbara A Jereczek-Fossa
- Division of Radiotherapy, IEO European Institute of Oncology IRCCS; Department of Oncology and Hemato-Oncology, University of Milan
| | - Giuseppe Petralia
- Department of Oncology and Hemato-Oncology, University of Milan; Precision Imaging and Research Unit - Department of Medical Imaging and Radiation Sciences, IEO European Institute of Oncology IRCCS Milan Italy
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Zhang L, Zhao H, Wu B, Zha Z, Yuan J, Feng Y. Predictive Factors for Positive Surgical Margins in Patients With Prostate Cancer After Radical Prostatectomy: A Systematic Review and Meta-Analysis. Front Oncol 2021; 10:539592. [PMID: 33628724 PMCID: PMC7897672 DOI: 10.3389/fonc.2020.539592] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 12/22/2020] [Indexed: 01/11/2023] Open
Abstract
Background and Objectives Previous studies have demonstrated that positive surgical margins (PSMs) were independent predictive factors for biochemical and oncologic outcomes in patients with prostate cancer (PCa). This study aimed to conduct a meta-analysis to identify the predictive factors for PSMs after radical prostatectomy (RP). Methods We selected eligible studies via the electronic databases, such as PubMed, Web of Science, and EMBASE, from inception to December 2020. The risk factors for PSMs following RP were identified. The pooled estimates of standardized mean differences (SMDs)/odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. A fixed effect or random effect was used to pool the estimates. Subgroup analyses were performed to explore the reasons for heterogeneity. Results Twenty-seven studies including 50,014 patients with PCa were eligible for further analysis. The results showed that PSMs were significantly associated with preoperative prostate-specific antigen (PSA) (pooled SMD = 0.37; 95% CI: 0.31–0.43; P < 0.001), biopsy Gleason Score (<6/≥7) (pooled OR = 1.53; 95% CI:1.31–1.79; P < 0.001), pathological Gleason Score (<6/≥7) (pooled OR = 2.49; 95% CI: 2.19–2.83; P < 0.001), pathological stage (<T2/≥T3) (pooled OR = 3.90; 95% CI: 3.18–4.79; P < 0.001), positive lymph node (PLN) (pooled OR = 3.12; 95% CI: 2.28–4.27; P < 0.001), extraprostatic extension (EPE) (pooled OR = 4.44; 95% CI: 3.25–6.09; P < 0.001), and seminal vesicle invasion (SVI) (pooled OR = 4.19; 95% CI: 2,87–6.13; P < 0.001). However, we found that age (pooled SMD = 0.01; 95% CI: −0.07–0.10; P = 0.735), body mass index (BMI) (pooled SMD = 0.12; 95% CI: −0.05–0.30; P = 0.162), prostate volume (pooled SMD = −0.28; 95% CI: −0.62–0.05; P = 0.097), and nerve sparing (pooled OR = 0.90; 95% CI: 0.71–1.14; P = 0.388) had no effect on PSMs after RP. Besides, the findings in this study were found to be reliable by our sensitivity and subgroup analyses. Conclusions Preoperative PSA, biopsy Gleason Score, pathological Gleason Score, pathological stage, positive lymph node, extraprostatic extension, and seminal vesicle invasion are independent predictors of PSMs after RP. These results may helpful for risk stratification and individualized therapy in PCa patients.
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Affiliation(s)
- Lijin Zhang
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
| | - Hu Zhao
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
| | - Bin Wu
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
| | - Zhenlei Zha
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
| | - Jun Yuan
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
| | - Yejun Feng
- Department of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, China
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Development and validation of a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy. Chin Med J (Engl) 2019; 132:928-934. [PMID: 30958434 PMCID: PMC6595765 DOI: 10.1097/cm9.0000000000000161] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Positive surgical margins are independent risk factor for biochemical recurrence, local recurrence, and distant metastasis after radical prostatectomy. However, limited predictive tools are available. This study aimed to develop and validate a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy (LRP). METHODS From January 2010 to March 2016, a total of 418 patients who underwent LRP without receiving neoadjuvant therapy at Peking University Third Hospital were retrospectively involved in this study. Clinical and pathological results of each patient were collected for further analysis. Univariable and multivariable logistic regression (backward stepwise method) were used for the nomogram development. The concordance index (CI), calibration curve analysis and decision curve analysis were used to evaluate the performance of our model. RESULTS Of 418 patients involved in this study, 142 patients (34.0%) had a positive surgical margin on final pathology. Based on the backward selection, four variables were included in the final multivariable regression model, including the percentage of positive cores in preoperative biopsy, clinical stage, free prostate specific antigen (fPSA)/total PSA (tPSA), and age. A nomogram was developed using these four variables. The concordance index (C-index) of the nomogram was 0.722 in the development cohort and 0.700 in the bootstrap validations. The bias-corrected calibration plot showed a limited departure from the ideal line with a mean absolute error of 2.0%. In decision curve analyses, the nomogram showed net benefits in the range from 0.2 to 0.7. CONCLUSION A nomogram to predict positive surgical margins after LRP was developed and validated, which could help urologists plan surgical procedures.
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Yang R, Cao K, Han T, Zhang YF, Zhang GT, Xu LF, Lian HB, Li XG, Guo HQ. Perineural invasion status, Gleason score and number of positive cores in biopsy pathology are predictors of positive surgical margin following laparoscopic radical prostatectomy. Asian J Androl 2018; 19:468-472. [PMID: 27004537 PMCID: PMC5507095 DOI: 10.4103/1008-682x.173444] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
This study was designed to define possible preoperative predictors of positive surgical margin after laparoscopic radical prostatectomy. We retrospectively analyzed the records of 296 patients with prostate cancer diagnosed by prostate biopsy, and eventually treated with laparoscopic radical prostatectomy. The prognostic impact of age, prostate volume, preoperative prostate-specific antigen, biopsy Gleason score, maximum percentage tumor per core, number of positive cores, biopsy perineural invasion, capsule invasion on imaging, and tumor laterality on surgical margin was assessed. The overall positive surgical margin rate was 29.1%. Gleason score, number of positive cores, perineural invasion, tumor laterality in the biopsy specimen, and prostate volume significantly correlated with risk of positive surgical margin by univariate analysis (P < 0.05). Gleason score (odds ratio [OR] = 2.286, 95% confidence interval [95% CI] = 1.431–3.653, P = 0.001), perineural invasion (OR = 4.961, 95% CI = 2.656–9.270, P < 0.001), and number of positive cores (OR = 4.403, 95% CI = 1.878–10.325, P = 0.001) were independent predictors of positive surgical margin at the multivariable logistic regression analysis. Patients with perineural invasion, higher biopsy Gleason scores and/or a large number of positive cores in biopsy pathology had more possibility of capsule invasion. The positive surgical margin rate in patients with capsule invasion (49.5%) was much higher than that with localized disease (17.8%). In contrast, prostate volume showed a protective effect against positive surgical margin (OR = 0.572, 95% CI = 0.346–0.945, P = 0.029). Gleason score, perineural invasion, and number of positive cores in the biopsy specimen were preoperative independent predictors of positive surgical margin after laparoscopic radical prostatectomy while prostate volume was a protective factor against positive surgical margin.
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Affiliation(s)
- Rong Yang
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Kai Cao
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Tao Han
- Department of Urology, Nanjing Children's Hospital, Nanjing 210008, China
| | - Yi-Feng Zhang
- Department of Pathology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Gu-Tian Zhang
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Lin-Feng Xu
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Hui-Bo Lian
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Xiao-Gong Li
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Hong-Qian Guo
- Department of Urology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
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