Multiparametric MRI characteristics for differentiating primary cancer origin in brain metastases
Ali Salbas, Mehmet Coskun, Yusuf Kenan Cetinoglu, Merve Horoz, Murat Yogurtcu, Anil Huvez, Mustafa Fazil Gelal

TL;DR
This study shows that brain metastases from different cancers have unique MRI features, helping doctors identify the original cancer type for better treatment planning.
Contribution
The study identifies specific multiparametric MRI features that distinguish brain metastases from different primary cancer types.
Findings
NSCLC metastases have higher necrosis ratios and ADC values compared to breast and SCLC metastases.
Melanoma metastases show higher edema ratios and ITSS scores than other types.
Breast cancer metastases are often smaller, multiple, and located infratentorially.
Abstract
Accurate identification of primary cancer origin in brain metastases (BMs) is crucial for diagnosis and treatment planning. Identification is challenging, particularly in unknown primary cases. Multiparametric Magnetic Resonance Imaging (MRI) offers non-invasive imaging characteristics as diagnostic clues. This study aimed to investigate the relationship between multiparametric MRI features of BMs and their primary tumor origin. This retrospective study included 125 patients with intra-axial brain metastases, classified as breast cancer, small cell lung cancer (SCLC), non-small cell lung cancer (NSCLC), malignant melanoma, and other cancers. Multiparametric MRI, including T2-FLAIR, contrast-enhanced 3D T1-weighted imaging, apparent diffusion coefficient (ADC) maps, susceptibility-weighted imaging (SWI), and cerebral blood volume (CBV) maps, was performed. Lesion volume, necrotic…
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Taxonomy
TopicsBrain Metastases and Treatment · Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging
