Objective: To assess the reliability of the histological diagnosis of bladder cancer by assessing the interobserver variability of staging and grading in pTa/pT1 tumours and evaluating the clinical significance of discrepancies.
Materials And Methods: All sections from 301 superficial bladder carcinomas were reviewed by one pathologist. The prognostic relevance of grade and stage from both the initial and review diagnosis were determined in 128 patients for whom there was long-term follow-up information.
Results: There were significant interobserver differences in both the grading and staging of tumours. From a total of 235 tumours that were initially considered pT1, the reviewer classified 35% as pTa, 56% as pT1, 6% as pT1- (at least pT1), and 3% as pT2-4. In 39% of all biopsies there were interobserver differences in tumour grade. The prognostic significance of grade and stage differed between the initial pathology report and the reviewer's diagnosis. The reviewer's staging allowed a better estimate of the risk of subsequent tumour progression than the initial staging. Progression was significantly more common in 49 tumours in which the reviewer agreed with stage pT1 than in 29 tumours that were down-staged from pT1 to pTa (P = 0.0116). However, the initial tumour grade (P = 0.0386) but not the reviewer's grade (P = 0.2645) was significantly linked to progression.
Conclusions: These results show that grading and staging by different pathologists have varying prognostic implications. If possible, biopsies from bladder tumours should be independently evaluated by two different pathologists before radical therapy is administered.
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http://dx.doi.org/10.1046/j.1464-410x.2000.00356.x | DOI Listing |
Diagnostics (Basel)
February 2025
MR Collaborations & Clinical Solutions, GE Healthcare, Boston, MA 02142, USA.
This study compared the image quality of conventional multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE-DWI) and deep learning MUSE-DWI with that of vendor-specific deep learning (DL) reconstruction applied to bladder MRI. This retrospective study included 57 patients with a visible bladder mass. DWI images were reconstructed using a vendor-provided DL algorithm (AIR Recon DL; GE Healthcare)-a CNN-based algorithm that reduces noise and enhances image quality-applied here as a prototype for MUSE-DWI.
View Article and Find Full Text PDFJpn J Radiol
March 2025
Department of Radiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Purpose: Myocardial computed tomography (CT) late enhancement (LE) allows assessment of myocardial scarring. Super-resolution deep learning image reconstruction (SR-DLR) trained on data acquired from ultra-high-resolution CT may improve image quality for CT-LE. Therefore, this study investigated image noise and image quality with SR-DLR compared with conventional DLR (C-DLR) and hybrid iterative reconstruction (hybrid IR).
View Article and Find Full Text PDFCan Assoc Radiol J
March 2025
Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
This study investigates the impact of deep learning-based contrast boosting (DL-CB) on image quality and measurement reliability in low-contrast media (low-CM) CT for pre-transcatheter aortic valve replacement (TAVR) assessment. This retrospective study included TAVR candidates with renal dysfunction who underwent low-CM (30-mL: 15-mL bolus of contrast followed by 50-mL of 30% iomeprol solution) pre-TAVR CT between April and December 2023, along with matched standard-CM controls (n = 68). Low-CM images were reconstructed as conventional, 50-keV, and DL-CB images.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Mansoura University, 12 El-Gomhoreya street, 35112, Mansoura, Egypt.
Girls and women with Turner syndrome (TS) suffer from increased risk of cardiovascular diseases. We hypothesized that left ventricular (LV) myocardial strain and aortic elasticity will be impaired in girls with TS. Cardiac MRI of 45 girls with TS and 14 healthy control girls was performed.
View Article and Find Full Text PDFInt J Gen Med
March 2025
Department of Orthopedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
Objective: To evaluate the reliability of the new Comprehensive Classification in clinical practice by comparing it with Evans-Jensen (1975), AO/OTA (2007), and AO/OTA (2018).
Methods: A total of 192 patients with intertrochanteric fractures were included in the study. The fractures were classified using the Comprehensive Classification system and the three traditional methods by eight observers, consisting of four high-experienced and four less-experienced surgeons.
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