Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System

Author:

Eminaga Okyaz1ORCID,Lee Timothy Jiyong2,La Vinh2ORCID,Breil Bernhard3ORCID,Xing Lei4,Liao Joseph C.2ORCID

Affiliation:

1. AI VOBIS, Palo Alto, CA

2. Department of Urology, Stanford University School of Medicine, Stanford, CA

3. Faculty of Health Care, Health Informatics, Hochschule Niederrhein, University of Applied Sciences, Krefeld, Germany

4. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA

Abstract

PURPOSE Accurate documentation of lesions during transurethral resection of bladder tumors (TURBT) is essential for precise diagnosis, treatment planning, and follow-up care. However, optimizing schematic documentation techniques for bladder lesions has received limited attention. MATERIALS AND METHODS This prospective observational study used a cMDX-based documentation system that facilitates graphical representation, a lesion-specific questionnaire, and heatmap analysis with a posterization effect. We designed a graphical scheme for bladder covering bladder landmarks to visualize anatomic features and to document the lesion location. The lesion-specific questionnaire was integrated for comprehensive lesion characterization. Finally, spatial analyses were applied to investigate the anatomic distribution patterns of bladder lesions. RESULTS A total of 97 TURBT cases conducted between 2021 and 2023 were included, identifying 176 lesions. The lesions were distributed in different bladder areas with varying frequencies. The distribution pattern, sorted by frequency, was observed in the following areas: posterior, trigone, lateral right and anterior, and lateral left and dome. Suspicious levels were assigned to the lesions, mostly categorized either as indeterminate or moderate. Lesion size analysis revealed that most lesions fell between 5 and 29 mm. CONCLUSION The study highlights the potential of schematic documentation techniques for informed decision making, quality assessment, primary research, and secondary data utilization of intraoperative data in the context of TURBT. Integrating cMDX and heatmap analysis provides valuable insights into lesion distribution and characteristics.

Publisher

American Society of Clinical Oncology (ASCO)

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