Using Brain Tumor MRI Structured Reporting to Quantify the Impact of Imaging on Brain Tumor Boards.
Syed A AbidiMichael J HochRanliang HuGelareh SadighAlfredo VoloschinJeffrey J OlsonHui-Kuo G ShuStewart G NeillBrent D WeinbergPublished in: Tomography (Ann Arbor, Mich.) (2023)
Multidisciplinary tumor boards (TB) are an essential part of brain tumor care, but quantifying the impact of imaging on patient management is challenging due to treatment complexity and a lack of quantitative outcome measures. This work uses a structured reporting system for classifying brain tumor MRIs, the brain tumor reporting and data system (BT-RADS), in a TB setting to prospectively assess the impact of imaging review on patient management. Published criteria were used to prospectively assign three separate BT-RADS scores (an initial radiology report, secondary TB presenter review, and TB consensus) to brain MRIs reviewed at an adult brain TB. Clinical recommendations at TB were noted and management changes within 90 days after TB were determined by chart review. In total, 212 MRIs in 130 patients (median age = 57 years) were reviewed. Agreement was 82.2% between report and presenter, 79.0% between report and consensus, and 90.1% between presenter and consensus. Rates of management change increased with increasing BT-RADS scores (0-3.1%, 1a-0%, 1b-66.7%, 2-8.3%, 3a-38.5%, 3b-55.9, 3c-92.0%, and 4-95.6%). Of 184 (86.8%) cases with clinical follow-up within 90 days after the tumor board, 155 (84.2%) of the recommendations were implemented. Structured scoring of MRIs provides a quantitative way to assess rates of agreement interpretation alongside how often management changes are recommended and implemented in a TB setting.
Keyphrases
- mycobacterium tuberculosis
- high resolution
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- clinical practice
- adverse drug
- healthcare
- case report
- magnetic resonance imaging
- palliative care
- multiple sclerosis
- chronic kidney disease
- newly diagnosed
- artificial intelligence
- photodynamic therapy
- health insurance
- peritoneal dialysis
- electronic health record
- diffusion weighted imaging