图：神经胶质瘤手术决策支持的web应用程序

Computer methods and programs in biomedicine update Pub Date : 2025-01-01 DOI:10.1016/j.cmpbup.2025.100199

Maisa N.G. van Genderen , Raymond M. Martens , Frederik Barkhof , Philip C. de Witt Hamer , Roelant S. Eijgelaar

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引用次数: 0

摘要

背景与目的神经胶质瘤是最常见的原发性恶性脑肿瘤，其患者经常接受手术治疗，目的是在保持功能完整的同时尽可能多地切除肿瘤。然而，在手术决定上有很大的差异。本研究旨在基于大型多中心MRI数据库，为手术计划和评估提供数据驱动的方法，估计个性化切除的潜在程度。方法我们开发了一个交互式web应用程序（PICTURE工具），该应用程序使用先前手术的分割MRI扫描来创建切除概率图。这些图描述了基于先前手术决定的肿瘤组织切除的机会。结果PICTURE工具可以上传新患者的扫描，并将其与以前患者的切除概率图进行比较。然后，这张图可以过滤临床特征，与类似的患者进行比较，并可以交互式地探索，以确定特定患者肿瘤的哪些部分更有可能被切除。此外，还报道了肿瘤的特征和预期的切除范围。结论通过交互式生成切除概率图，PICTURE工具可以实现数据驱动的胶质瘤手术计划。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Picture: A web application for decision support in glioma surgery

Background and Objective

Patients with glioma, the most common primary malignant brain tumor, often undergo surgery, aiming to remove as much tumor as possible while maintaining functional integrity. However, there is large variation in surgical decisions. This study aims to provide a data-driven approach to surgery planning and evaluation, estimating personalized potential extent of resection, based on a large multicenter MRI database.

Methods

We developed an interactive web-application (PICTURE tool), that uses segmented MRI scans from prior surgeries to create resection probability maps. The maps depict the chance of tumor tissue resection based on decisions in prior surgeries.

Results

The PICTURE tool enables uploading scans of a new patient and comparing these with the resection probability map of previous patients. This map can then be filtered for clinical characteristics to compare with similar patients and can be interactively explored to determine which parts of the tumor are more or less likely to be resected in a particular patient. Additionally, tumor characteristics and expected extent of resection are reported.