Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases
Autor: | D. Zopfs, K. Laukamp, R. Reimer, N. Grosse Hokamp, C. Kabbasch, J. Borggrefe, L. Pennig, A.C. Bunck, M. Schlamann, S. Lennartz |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | AJNR Am J Neuroradiol |
ISSN: | 1936-959X 0195-6108 |
Popis: | BACKGROUND AND PURPOSE: MR imaging is the technique of choice for follow-up of patients with brain metastases, yet the radiologic assessment is often tedious and error-prone, especially in examinations with multiple metastases or subtle changes. This study aimed to determine whether using automated color-coding improves the radiologic assessment of brain metastases compared with conventional reading. MATERIALS AND METHODS: One hundred twenty-one pairs of follow-up examinations of patients with brain metastases were assessed. Two radiologists determined the presence of progression, regression, mixed changes, or stable disease between the follow-up examinations and indicated subjective diagnostic certainty regarding their decisions in a conventional reading and a second reading using automated color-coding after an interval of 8 weeks. RESULTS: The rate of correctly classified diagnoses was higher (91.3%, 221/242, versus 74.0%, 179/242, P |
Databáze: | OpenAIRE |
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