Date: Fri, 29 Mar 2024 01:05:11 -0500 (CDT)
Message-ID: <1856626755.42706.1711692311448@tcia-wiki-rh-1.ad.uams.edu>
Subject: Exported From Confluence
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Description
Purpose
To investigate associations between b=
reast cancer molecular subtype and semiautomatically extracted magnetic res=
onance (MR) imaging features.
Materials and Methods&nb=
sp;
Imaging and genomic data from the Can=
cer Genome Atlas and the Cancer Imaging Archive for 48 patients with breast=
cancer from four institutions in the United States were used in this insti=
tutional review board approval-exempt study. Computer vision algorithms wer=
e applied to extract 23 imaging features from lesions indicated by a breast=
radiologist on MR images. Morphologic, textural, and dynamic features were=
extracted. Molecular subtype was determined on the basis of genomic analys=
is. Associations between the imaging features and molecular subtype were ev=
aluated by using logistic regression and likelihood ratio tests. The analys=
is controlled for the age of the patients, their menopausal status, and the=
orientation of the MR images (sagittal vs axial).
Results
There is an association (P =3D .0015)=
between the luminal B subty=
pe and a dynamic contrast material-enhancement feature that quantifies the =
relationship between lesion enhancement and background parenchymal enhancem=
ent. Cancers with a higher ratio of lesion enhancement rate to background p=
arenchymal enhancement rate are more likely to be luminal B subtype.
Conclusion
The luminal B subtype of breast cance=
r is associated with MR imaging features that relate the enhancement dynami=
cs of the tumor and the background parenchyma.
(c) RSNA, 2014
Online supplemental material is avail=
able for this article.
Data Access
Data Access
Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses:=
span>
Source Data Type |
Download all or Query/Filter |
License |
Original Image Data from TCGA-BRCA (DICOM,=
48 subjects, 51 studies, 528 series, 55953 images, 15.27 GB) |
|
|
Citations & Data Usage Policy
Versions
Version 1 (Current): 2014/11/12
Data Type |
Download all or Query/Filter |
Image Data (DICOM) |
|
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