학술논문

Probabilistic independent component analysis of dynamic susceptibility contrast perfusion MRI in metastatic brain tumors
Document Type
article
Source
Cancer Imaging. 19(1)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Oncology and Carcinogenesis
Neurosciences
Bioengineering
Biomedical Imaging
Clinical Research
Breast Cancer
Cancer
Aged
Brain
Brain Neoplasms
Cerebrovascular Circulation
Contrast Media
Diffusion Magnetic Resonance Imaging
Female
Humans
Magnetic Resonance Angiography
Male
Middle Aged
Retrospective Studies
Tumor Burden
Brain metastasis
Diffusion
Perfusion
ICA
Biomarker
Nuclear Medicine & Medical Imaging
Clinical sciences
Oncology and carcinogenesis
Language
Abstract
PurposeTo identify clinically relevant magnetic resonance imaging (MRI) features of different types of metastatic brain lesions, including standard anatomical, diffusion weighted imaging (DWI) and dynamic susceptibility contrast (DSC) perfusion MRI.MethodsMRI imaging was retrospectively assessed on one hundred and fourteen (N = 114) brain metastases including breast (n = 27), non-small cell lung cancer (NSCLC, n = 43) and 'other' primary tumors (n = 44). Based on 114 patient's MRI scans, a total of 346 individual contrast enhancing tumors were manually segmented. In addition to tumor volume, apparent diffusion coefficients (ADC) and relative cerebral blood volume (rCBV) measurements, an independent component analysis (ICA) was performed with raw DSC data in order to assess arterio-venous components and the volume of overlap (AVOL) relative to tumor volume, as well as time to peak (TTP) of T2* signal from each component.ResultsResults suggests non-breast or non-NSCLC ('other') tumors had higher volume compare to breast and NSCLC patients (p = 0.0056 and p = 0.0003, respectively). No differences in median ADC or rCBV were observed across tumor types; however, breast and NSCLC tumors had a significantly higher "arterial" proportion of the tumor volume as indicated by ICA (p = 0.0062 and p = 0.0018, respectively), while a higher "venous" proportion were prominent in breast tumors compared with NSCLC (p = 0.0027) and 'other' lesions (p = 0.0011). The AVOL component was positively related to rCBV in all groups, but no correlation was found for arterial and venous components with respect to rCBV values. Median time to peak of arterial and venous components were 8.4 s and 12.6 s, respectively (p