scholarly journals Intravesical Prostatic Protrusion and Prognosis of Non-Muscle Invasive Bladder Cancer: Analysis of Long-Term Data over 5 Years with Machine-Learning Algorithms

2021 ◽  
Vol 10 (18) ◽  
pp. 4263
Author(s):  
Junghoon Lee ◽  
Min Soo Choo ◽  
Sangjun Yoo ◽  
Min Chul Cho ◽  
Hwancheol Son ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bladder Cancer ◽  
Machine Learning Algorithms ◽  
Invasive Bladder Cancer ◽  
Support Vector ◽  
Recurrence Free Survival ◽  
Bladder Tumors ◽  
Muscle Invasive Bladder Cancer ◽  
Free Survival ◽  
Muscle Invasive

We aim to investigate the significance of intravesical prostate protrusion (IPP) on the prognosis of non-muscle invasive bladder cancer (NMIBC) after the transurethral resection of bladder tumors (TURBT). For newly diagnosed NMIBC, we retrospectively analyzed the association between prognosis and IPP for at least a 5-year follow-up. A degree of IPP over 5 mm in a preoperative CT scan was classified as severe. The primary endpoint was recurrence-free survival, and the secondary endpoint was progression-free survival. The machine learning (ML) algorithm of a support vector machine was used for predictive model development. Of a total of 122 patients, ultimately, severe IPP was observed in 33 patients (27.0%). IPP correlated positively with age, BPH, recurrence, and prognosis. Severe IPP was significantly higher in the recurrence group and reduced in the recurrence-free survival group (p = 0.038, p =0.032). Severe IPP independently increased the risk of intravesical recurrence by 2.6 times. The addition of IPP to the known oncological risk factors in the prediction model using the ML algorithm improved the predictability of cancer recurrence by approximately 6%, to 0.803. IPP was analyzed as a potential independent risk factor for NMIBC recurrence and progression after TURBT. This anatomical feature of the prostate could affect the recurrence of bladder tumors.

scholarly journals Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features

2021 ◽  
Author(s):  
Naoto Tokuyama ◽  
Akira Saito ◽  
Ryu Muraoka ◽  
Shuya Matsubara ◽  
Takeshi Hashimoto ◽  
...  
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Bladder Cancer ◽  
Random Forest ◽  
Machine Learning Algorithms ◽  
Invasive Bladder Cancer ◽  
Support Vector ◽  
Muscle Invasive Bladder Cancer ◽  
Nuclear Atypia ◽  
Muscle Invasive

AbstractNon-muscle invasive bladder cancer (NMIBC) generally has a good prognosis; however, recurrence after transurethral resection (TUR), the standard primary treatment, is a major problem. Clinical management after TUR has been based on risk classification using clinicopathological factors, but these classifications are not complete. In this study, we attempted to predict early recurrence of NMIBC based on machine learning of quantitative morphological features. In general, structural, cellular, and nuclear atypia are evaluated to determine cancer atypia. However, since it is difficult to accurately quantify structural atypia from TUR specimens, in this study, we used only nuclear atypia and analyzed it using feature extraction followed by classification using Support Vector Machine and Random Forest machine learning algorithms. For the analysis, 125 patients diagnosed with NMIBC were used; data from 95 patients were randomly selected for the training set, and data from 30 patients were randomly selected for the test set. The results showed that the support vector machine-based model predicted recurrence within 2 years after TUR with a probability of 90% and the random forest-based model with probability of 86.7%. In the future, the system can be used to objectively predict NMIBC recurrence after TUR.

Multi-institutional review of sequential intravesical gemcitabine and mitomycin C chemotherapy for non-muscle-invasive bladder cancer.

2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 294-294
Author(s):  
Andrew J. Lightfoot ◽  
Benjamin N. Breyer ◽  
Henry M. Rosevear ◽  
Badrinath Konety ◽  
Michael A. O'Donnell
Keyword(s):  
Bladder Cancer ◽  
Mitomycin C ◽  
Median Time ◽  
Combination Chemotherapy ◽  
Invasive Bladder Cancer ◽  
Intravesical Therapy ◽  
Recurrence Free Survival ◽  
Muscle Invasive Bladder Cancer ◽  
Free Survival ◽  
Muscle Invasive

294 Background: Combination chemotherapy is the standard of care for neoadjuvant, adjuvant, and metastatic bladder cancer due to increased efficacy when compared to monotherapy. We report our experience with sequential intravesical combination chemotherapy using gemcitabine and mitomycin C (MMC) for non-muscle invasive bladder cancer (NMIBC). Methods: We performed a multi-institutional retrospective review of 47 consecutive patients who received 6 weekly treatments with sequential gemcitabine (1g) and mitomycin C (40mg) chemotherapy for NMIBC. Thirty patients received treatment at University of Iowa, 14 at UCSF and 3 at University of Minnesota. Results: A total 47 patients (median age 70, range 32-85; 36 males, 11 females) previously failing a median of 2 intravesical treatments were reviewed. The complete response (CR), 1-year recurrence-free survival (1-RFS) and 2-year recurrence-free survival (2-RFS) for all patients was 68%, 48% and 38%, respectively. In all, 14 of 47 patients (30%) remain free of recurrence with a median time to followup of 26 months (range 6-80 months). The median time to recurrence for all patients who recurred was 4 months (range 1-33 months). Ten patients required cystectomy. Conclusions: Sequential intravesical combination chemotherapy using gemcitabine and MMC appears to be a useful treatment for patients with a history of NMIC which has failed BCG or other intravesical therapy, in addition to patients with intermediate and high-risk disease.

Kent experience of radical chemoradiotherapy for muscle invasive bladder cancer.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 373-373
Author(s):  
Jessica Gough ◽  
Mathini Sridharan ◽  
Ruochen Li ◽  
Rakesh Raman ◽  
Albert Edwards ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Concurrent Chemoradiotherapy ◽  
Invasive Bladder Cancer ◽  
Recurrence Free Survival ◽  
Muscle Invasive Bladder Cancer ◽  
Free Survival ◽  
Radiotherapy Group ◽  
Radiotherapy Alone ◽  
Muscle Invasive ◽  
Local Recurrence Free Survival

373 Background: The BC2001 trial in 2012 showed concurrent chemoradiotherapy to be the new standard of care for bladder preserving treatment of muscle invasive bladder cancer. Addition of concurrent MMC and infusional 5FU showed a relative risk reduction of 33% in locoregional recurrence (James ND, Hussain S, Hall E et al. Radiotherapy with or without chemotherapy in muscle-invasive bladder cancer. N Engl J Med. 2012;366(16):1477–88.). This audit evaluates the experience across Kent in six hospitals adopting this protocol. Methods: 116 patients treated with radical radiotherapy for bladder cancer between January 2013 and December 2015 were retrospectively reviewed. 64 patients received radiotherapy alone due to contraindications to chemotherapy, performance status and patient choice. 52 patients received concurrent chemotherapy, the majority with 5FU/MMC and a subset with oral Capecitabine in place of infusional 5FU. Kaplan Meier and Log-Rank analysis of overall survival, local recurrence free survival and metastasis free survival were performed using SPSS. Results: Local recurrence free survival in the chemoradiotherapy group was 73% (95% CI 59-87%) compared to the radiotherapy group 61% (45-77) (p=0.27). There was a trend for greater metastasis free survival at 2 years, 63% (47-79) in the chemoradiotherapy group compared to 52% (38-66) in the radiotherapy group (p=0.21). Similarly, overall 2 year survival was 74% (60-88) and 59% (43-75) respectively (p=0.21). Conclusions: Our results showed a trend towards improved local control, distant control and increased overall survival in patients treated with concurrent chemoradiotherapy compared to radiotherapy alone. The differences did not meet statistical significance; however this was a small retrospective series with a relatively short median followup of 17.5 months. Treatment was well tolerated in our patient group. Overall, our data is in keeping with the results of the BC2001 trial (James ND, Hussain S, Hall E et al. Radiotherapy with or without chemotherapy in muscle-invasive bladder cancer. N Engl J Med. 2012;366(16):1477–88.)

scholarly journals Prognostic value of prostate volume in non-muscle invasive bladder cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Won Sik Ham ◽  
Jee Soo Park ◽  
Won Sik Jang ◽  
Young Deuk Choi ◽  
Jongchan Kim
Keyword(s):  
Bladder Cancer ◽  
Prostate Volume ◽  
Progression Free Survival ◽  
Invasive Bladder Cancer ◽  
Intravesical Therapy ◽  
Recurrence Free Survival ◽  
Muscle Invasive Bladder Cancer ◽  
Free Survival ◽  
Muscle Invasive ◽  
Group 1

AbstractThere is evidence that a history of benign prostatic hyperplasia increases the incidence of bladder cancer, and treatment with 5-alpha reductase inhibitor or androgen deprivation therapy reduces recurrence of non-muscle invasive bladder cancer. We aimed to evaluate whether prostate volume affects its prognosis. We reviewed medical records of men who underwent transurethral resection of bladder tumor due to non-muscle invasive bladder cancer from January 2012 to December 2017. Patients were divided into two groups based on prostate volume measured by computed tomography (group 1: 264 patients with ≤ 30 mL, group 2: 124 patients with > 30 mL). Propensity score matching analysis was used for adjust selection bias, and then assessed recurrence-free survival and progression-free survival. With a median follow up duration of 52 months, group 1 showed higher 5-year recurrence-free and progression-free survival (69.3% vs 47.0%, p = 0.001; 96.7% vs 87.7%, p = 0.002). Further, cox-regression analysis showed that tumor size (HR = 1.292 p < 0.001), multifocal tumor (HR = 1.993, p < 0.001), adjuvant intravesical therapy (chemotherapy: HR = 0.580, p = 0.037 and bacillus Calmette–Guérin: HR = 0.542, p = 0.004) and prostate volume (HR = 2.326, p < 0.001) were significant predictors of recurrence-free survival. Prostate volume (HR = 2.886, p = 0.014) was also associated with PFS with age (HR = 1.043, p = 0.044) and tumor grade (HR = 3.822, p = 0.013). We conclude higher prostate volume is associated with worse recurrence and progression-free survival in non-muscle invasive bladder cancer.

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