使用 cMDX 信息系统对膀胱镜手术的术中观察进行电子记录。

IF 3.3 Q2 ONCOLOGY JCO Clinical Cancer Informatics Pub Date : 2024-03-01 DOI:10.1200/CCI.23.00114
Okyaz Eminaga, Timothy Jiyong Lee, Vinh La, Bernhard Breil, Lei Xing, Joseph C Liao
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引用次数: 0

摘要

目的:在经尿道膀胱肿瘤切除术(TURBT)中准确记录病变对于精确诊断、治疗计划和后续护理至关重要。然而,优化膀胱病变示意图记录技术受到的关注有限:这项前瞻性观察研究使用了基于 cMDX 的记录系统,该系统便于图形表示、病变特异性问卷调查和具有海报效果的热图分析。我们设计了一种覆盖膀胱标志物的膀胱图形方案,以直观显示解剖特征并记录病变位置。病变特异性问卷被整合用于全面的病变特征描述。最后,应用空间分析来研究膀胱病变的解剖分布模式:结果:共纳入 2021 年至 2023 年期间进行的 97 例 TURBT 病例,确定了 176 个病灶。病变分布在不同的膀胱区域,频率各不相同。按频率排序,病变分布在以下区域:后方、三叉、右外侧和前方、左外侧和穹隆。病变的可疑程度大多为不确定或中度。病变大小分析显示,大多数病变在 5 至 29 毫米之间:该研究强调了示意图记录技术在 TURBT 术中的知情决策、质量评估、初步研究和术中数据的二次数据利用方面的潜力。整合 cMDX 和热图分析可为病灶分布和特征提供有价值的见解。
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Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System.

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.

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