Goodkin Olivia, Wu Jiaming, Pemberton Hugh, Prados Ferran, Vos Sjoerd B, Thust Stefanie, Thornton John, Yousry Tarek, Bisdas Sotirios, Barkhof Frederik
Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
BMC Med Imaging. 2025 Mar 24;25(1):99. doi: 10.1186/s12880-025-01603-6.
Gliomas are the commonest malignant brain tumours. Baseline characteristics on structural MRI, such as size, enhancement proportion and eloquent brain involvement inform grading and treatment planning. Currently, free-text imaging reports depend on the individual style and experience of the radiologist. Standardisation may increase consistency of feature reporting.
We compared 100 baseline free-text reports for glioma MRI scans with a structured feature list based on VASARI criteria and performed a full second read to document which VASARI features were in the baseline report.
We found that quantitative features including tumour size and proportion of necrosis and oedema/infiltration were commonly not included in free-text reports. Thirty-three percent of reports gave a description of size only, and 38% of reports did not refer to tumour size at all. Detailed information about tumour location including involvement of eloquent areas and infiltration of deep white matter was also missing from the majority of free-text reports. Overall, we graded 6% of reports as having omitted some key VASARI features that would alter patient management.
Tumour size and anatomical information is often omitted by neuroradiologists. Comparison with a structured report identified key features that would benefit from standardisation and/or quantification. Structured reporting may improve glioma reporting consistency, clinical communication, and treatment decisions.
胶质瘤是最常见的恶性脑肿瘤。结构磁共振成像（MRI）的基线特征，如大小、强化比例和明确的脑区受累情况，可为分级和治疗计划提供依据。目前，自由文本形式的影像报告依赖于放射科医生的个人风格和经验。标准化可能会提高特征报告的一致性。
我们将100份胶质瘤MRI扫描的基线自由文本报告与基于VASARI标准的结构化特征列表进行比较，并进行了全面的二次阅读，以记录基线报告中存在哪些VASARI特征。
我们发现，包括肿瘤大小、坏死比例以及水肿/浸润情况等定量特征通常未包含在自由文本报告中。33%的报告仅对大小进行了描述，38%的报告根本未提及肿瘤大小。大多数自由文本报告也缺少关于肿瘤位置的详细信息，包括明确脑区的受累情况和深部白质的浸润情况。总体而言，我们将6%的报告评为遗漏了一些会改变患者管理的关键VASARI特征。
神经放射科医生常常遗漏肿瘤大小和解剖学信息。与结构化报告进行比较可确定一些关键特征，这些特征将受益于标准化和/或量化。结构化报告可能会提高胶质瘤报告的一致性、临床沟通以及治疗决策水平。
