Multi–b-value diffusion-weighted imaging–derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers
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DOI: 10.1007/s11604-025-01813-6
Abstract: High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi–b-value diffusion-weighted imaging (DWI), including apparent diffusion… read more here.
Keywords: multi value; carcinoma; ovarian cancers; diffusion ... See more keywords
Causal modeling with multi-value and fuzzy-set Coincidence Analysis
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DOI: 10.1017/psrm.2018.45
Abstract: Abstract Coincidence Analysis (CNA) is a configurational comparative method of causal data analysis that is related to Qualitative Comparative Analysis (QCA) but, contrary to the latter, is custom-built for analyzing causal structures with multiple outcomes.… read more here.
Keywords: multi value; analysis; value fuzzy; coincidence analysis ... See more keywords
Differentiating Brain Metastasis and High‐Grade Glioma Using Multi‐b Value Diffusion MRI and Tumor Volumetry
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DOI: 10.1111/jon.70103
Abstract: To evaluate feasibility of multi‐b value diffusion magnetic resonance imaging (MRI) and volumetry in differentiating between brain metastases and high‐grade gliomas (HGGs) while producing a differentiation tool. read more here.
Keywords: differentiating brain; multi value; value diffusion; high grade ... See more keywords