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临床试验/DRKS00041074
DRKS00041074招募中不适用

Multiple instance learning for microscopy slide classification using unconventional staining techniques for bladder cancer screening - MYSCUS

Universitätsmedizin Mannheim0 个研究点目标入组 1,000 人开始时间: 2025年4月16日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
1,000

研究概览

简要总结

暂无简介。

研究设计

研究类型
Observational

入排标准

年龄范围
18 Years 至 —(—)
性别
All

入选标准

  • •age = 18 years and ability to provide informed consent
  • •suspected urothelial carcinoma of the urinary bladder or upper urinary tract
  • •histologically confirmed urothelial carcinoma of the urinary bladder or upper urinary tract
  • •planned cystoscopic or endourological examination
  • •ability to provide at least one urine sample

排除标准

  • •age < 18 years
  • •inability to provide informed consent
  • •inability to obtain a urine sample

研究组 & 干预措施

Group 1: AI training and evaluation using prospectively collected urinary cytology slides from patients with histologically confirmed urothelial carcinoma of the urinary bladder or upper urinary tract. Urine samples are collected preoperatively before transurethral resection of the bladder, cystectomy, diagnostic ureterorenoscopy with biopsy, or nephroureterectomy. Assignment to this arm takes place after confirmation of a positive histopathological result.

干预措施: Group 1: AI training and evaluation using prospectively collected urinary cytology slides from patients with histologically confirmed urothelial carcinoma of the urinary bladder or upper urinary tract. Urine samples are collected preoperatively before transurethral resection of the bladder, cystectomy, diagnostic ureterorenoscopy with biopsy, or nephroureterectomy. Assignment to this arm takes place after confirmation of a positive histopathological result.

研究者

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