Literature DB >> 30052617

Assessment of Quantitative Magnetic Resonance Imaging Background Parenchymal Enhancement Parameters to Improve Determination of Individual Breast Cancer Risk.

Diana L Lam1, Daniel S Hippe, Averi E Kitsch, Savannah C Partridge, Habib Rahbar.   

Abstract

OBJECTIVES: The aims of this study were to identify optimal quantitative breast magnetic resonance imaging background parenchymal enhancement (BPE) parameters associated with breast cancer risk and compare performance to qualitative assessments.
METHODS: Using a matched case-control cohort of 46 high-risk women who underwent screening magnetic resonance imaging (23 who developed breast cancer matched to 23 who did not), fibroglandular tissue area, BPE area, and intensity metrics (mean, SD, quartiles, skewness, and kurtosis) were quantitatively measured at varying enhancement thresholds. Optimal thresholds for discriminating between cancer and control cohorts were identified for each metric and performance summarized using area under the receiver operating characteristic curve.
RESULTS: Women who developed breast cancer exhibited greater BPE area (adjusted P = 0.004) and higher intensity statistics (adjusted P < 0.004, except skewness and kurtosis with P > 0.99) than did control subjects, with areas under the receiver operating characteristic curve ranging from 0.75 to 0.78 at optimized thresholds.
CONCLUSIONS: Elevated quantitative BPE parameters, related to both area and intensity of enhancement, are associated with breast cancer development.

Entities:  

Mesh:

Year:  2019        PMID: 30052617      PMCID: PMC6331225          DOI: 10.1097/RCT.0000000000000774

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

Review 1.  Background parenchymal enhancement on breast MRI: A comprehensive review.

Authors:  Geraldine J Liao; Leah C Henze Bancroft; Roberta M Strigel; Rhea D Chitalia; Despina Kontos; Linda Moy; Savannah C Partridge; Habib Rahbar
Journal:  J Magn Reson Imaging       Date:  2019-04-19       Impact factor: 4.813

2.  Post-Processing Bias Field Inhomogeneity Correction for Assessing Background Parenchymal Enhancement on Breast MRI as a Quantitative Marker of Treatment Response.

Authors:  Alex Anh-Tu Nguyen; Natsuko Onishi; Julia Carmona-Bozo; Wen Li; John Kornak; David C Newitt; Nola M Hylton
Journal:  Tomography       Date:  2022-03-22
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.