Superficial Urinary Bladder Cancer : Histopathological Findings , Recurrence Rate after Transurethral Resection and Association with Upper Urinary Tract Urothelial Cancer : A Retrospective Analysis

2016 ◽  
Vol 23 (2) ◽  
pp. 47-52
Author(s):  
Ahmad Alhiari ◽  
Abdullah Rababaah ◽  
Mohammad Alserhan
Keyword(s):  
Bladder Cancer ◽  
Urinary Tract ◽  
Urinary Bladder ◽  
Retrospective Analysis ◽  
Recurrence Rate ◽  
Transurethral Resection ◽  
Urothelial Cancer ◽  
Urinary Bladder Cancer ◽  
Upper Urinary Tract ◽  
Histopathological Findings

scholarly journals Semantic Segmentation of Urinary Bladder Cancer Masses From CT Images: A Transfer Learning Approach

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1134
Author(s):  
Sandi Baressi Baressi Šegota ◽  
Ivan Lorencin ◽  
Klara Smolić ◽  
Nikola Anđelić ◽  
Dean Markić ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Urinary Bladder ◽  
Transfer Learning ◽  
Recurrence Rate ◽  
Urinary Bladder Cancer ◽  
Semantic Segmentation ◽  
Metastatic Potential ◽  
Ct Images ◽  
Learning Approach ◽  
High Metastatic Potential

Urinary bladder cancer is one of the most common cancers of the urinary tract. This cancer is characterized by its high metastatic potential and recurrence rate. Due to the high metastatic potential and recurrence rate, correct and timely diagnosis is crucial for successful treatment and care. With the aim of increasing diagnosis accuracy, artificial intelligence algorithms are introduced to clinical decision making and diagnostics. One of the standard procedures for bladder cancer diagnosis is computer tomography (CT) scanning. In this research, a transfer learning approach to the semantic segmentation of urinary bladder cancer masses from CT images is presented. The initial data set is divided into three sub-sets according to image planes: frontal (4413 images), axial (4993 images), and sagittal (996 images). First, AlexNet is utilized for the design of a plane recognition system, and it achieved high classification and generalization performances with an AUCmicro¯ of 0.9999 and σ(AUCmicro) of 0.0006. Furthermore, by applying the transfer learning approach, significant improvements in both semantic segmentation and generalization performances were achieved. For the case of the frontal plane, the highest performances were achieved if pre-trained ResNet101 architecture was used as a backbone for U-net with DSC¯ up to 0.9587 and σ(DSC) of 0.0059. When U-net was used for the semantic segmentation of urinary bladder cancer masses from images in the axial plane, the best results were achieved if pre-trained ResNet50 was used as a backbone, with a DSC¯ up to 0.9372 and σ(DSC) of 0.0147. Finally, in the case of images in the sagittal plane, the highest results were achieved with VGG-16 as a backbone. In this case, DSC¯ values up to 0.9660 with a σ(DSC) of 0.0486 were achieved. From the listed results, the proposed semantic segmentation system worked with high performance both from the semantic segmentation and generalization standpoints. The presented results indicate that there is the possibility for the utilization of the semantic segmentation system in clinical practice.

scholarly journals Tulium laser in urothelial carcinoma of the bladder with spread to the ostium of the ureter

2020 ◽  
Vol 16 (3) ◽  
pp. 198-204
Author(s):  
M. E. Novikov ◽  
N. A. Meleshko ◽  
I. G. Akopyan
Keyword(s):  
Bladder Cancer ◽  
Urinary Tract ◽  
Urothelial Cancer ◽  
Cell Cancer ◽  
Transitional Cell ◽  
Upper Urinary Tract ◽  
En Bloc ◽  
Non Invasive ◽  
Transitional Cell Cancer ◽  
Urothelial Bladder

Urothelial transitional cell cancer in developed countries is the 4th most common. In terms of frequency, it is outstripped only by prostate, breast, lung, and colorectal cancer. In the vast majority of cases, urothelial carcinoma develops in the bladder. It accounts for 90—95 % of all cases of transitional cell cancer of the urinary tract. Much less often, in 5—10 % have to deal with its localization in the upper urinary tract (in the calico-pelvic system or ureter). In 17 % of upper urinary tract cancers, bladder cancer is simultaneously diagnosed. The incidence of urothelial transitional cell cancer has increased over the past few decades as a result of improved diagnosis and improved survival of patients with this nosology. The use of modern, high-tech equipment for visualization and direct surgical intervention contributes to such results. The use of laser energy as the main tool for tissue dissection in endoscopic oncourology reveals the undeniable advantages of this method in comparison with the traditional electrosurgery.We present a clinical observation of the diagnosis and surgical treatment of urothelial bladder cancer with invasion of the ureter, performed by en-bloc tulium laser. An operation was performed-transurethral resection of a urothelial bladder tumor with invasion of the ureter, performed by en-bloc tulium laser. Intraoperatively, ureteropieloscopy was performed, and the tumor did not spread to the upper urinary tract beyond the intramural part of the ureter. Thanks to the precision of the action of the tulium laser on the tissue, not resection, but, in fact, dissection of the bladder wall, a high-quality macropreparation was obtained, which made it possible to establish a final diagnosis. Histological conclusion: from the bladder — non-invasive urothelial cancer G2-3; from the mouth of the left ureter — fragments of fibrous tissue lined with urothelium from atypia. 3 months after the operation — no recurrence of urothelial cancer was revealed, which indicates a high quality of the operation.This clinical observation demonstrates the superiority of laser en-bloc dissection compared to the treatment of bladder tumors. Obtaining a macro-product of urothelial transitional cell cancer of the highest quality can contribute to avoiding unjustified radical nephrureterectomies and conducting organ-preserving treatment, for absolute and elective indications. The 1.94 µm Tulium Erbium laser is an effective tool for performing minimally invasive transurethral interventions in non-invasive bladder cancer.

UP-03.142 Upper Urinary Tract TCC Recurrence Rate Following Radical Cystectomy for Bladder Cancer: A Meta-Analysis of 13,185 Patients

Urology ◽  
2011 ◽  
Vol 78 (3) ◽  
pp. S390-S391
Author(s):  
S. Picozzi ◽  
C. Ricci ◽  
M. Gaeta ◽  
G. Bozzini ◽  
L. Lunelli ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Urinary Tract ◽  
Radical Cystectomy ◽  
Recurrence Rate ◽  
Meta Analysis ◽  
Upper Urinary Tract
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