Value of enhanced fluid-attenuated inversion-recovery T1-weighted imaging sequences combined with the three-dimensional modulated flip-angle technique in diagnosing brain metastases
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Accurate identification of brain metastases is critical for radiotherapy planning. The aim of this study was to evaluate the effectiveness of contrast-enhanced T1-weighted fluid-attenuated inversion recovery (CE-T1FLAIR) sequences combined with the three-dimensional modulated flip-angle technique to enhance the visualization of metastatic tumors. Methods: test or Fisher exact test, with multiple comparisons conducted via the Bonferroni method. Interrater reliability was assessed with the Kappa consistency test. Results: A total of 176 patients with 887 brain metastases were included based on the linked intelligence brain metastasis artificial intelligence-assisted detection system and clinical follow-up. The MATRIX CE-T1FLAIR sequence had an overall lesion detection rate of 98.9%, significantly higher than the 93.5% for 3D GRE fsp CE-T1FLAIR and 80.6% for 2D FSE CE-T1FLAIR. For lesions <5 mm, the detection rate was 98.8%, with significant differences between the sequences. Lesion distribution analysis indicated that MATRIX CE-T1FLAIR had a higher detection rate in the superficial area of the brain's convexity, gray-white matter junction, and basal ganglia. Conclusions: The MATRIX CE-T1FLAIR sequence demonstrates superior overall and subgroup detection rates, particularly for small brain metastases (<5 mm) in the superficial areas of the brain's convexity as compared to 3D GRE fsp CE-T1FLAIR and 2D FSE CE-T1FLAIR.
Authors: Cuicui Liu, Junhui Yuan, Shaobo Fang, Kun Zhao, Fan Meng, Yue Wu, Dongqiu Shan, Xiang Li, Xiaoli Zheng, Chunmiao Xu, Renzhi Zhang, Xuejun Chen
Institutions: Zhengzhou University, Henan Cancer Hospital, First Affiliated Hospital of Fujian Medical University, Henan Provincial People's Hospital, Peking University, Fifth Tianjin Central Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Cancer Hospital of Chinese Academy of Medical Sciences
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4416455184
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