Breast MRI texture analysis for prediction of BRCA-associated genetic risk.

Georgia VasileiouMaria J CostaChristopher LongIris R WetzlerJuliane HoyerCornelia KrausBernt PoppJulius EmonsMarius WunderleEvelyn WenkelMichael UderMatthias W BeckmannSebastian M JudPeter A FaschingAlexander CavallaroAndré ReisMatthias Hammon

Published in: BMC medical imaging (2020)

The L-PCR model uncovered evidence for the utility of MRI texture features in distinguishing between BRCA1/2 positive and negative high-risk breast cancer individuals, which may suggest value to diagnostic routine. Integration of computer-extracted texture analysis from MRI modalities in prediction models and inclusion criteria might play a role in reducing false positives or missed cases especially when established risk variables such as family history are missing.

Keyphrases

contrast enhanced
magnetic resonance imaging
diffusion weighted imaging
computed tomography
magnetic resonance
breast cancer risk
gene expression
dna methylation
clinical practice
deep learning
young adults