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Jensen, Matthew R

0009-0005-0721-9296

Mayo Clinic

Department of Quantitative Health Sciences, Mayo Clinic, 200 First St SW, Biobusiness Bldg 5-81, Rochester, MN 55905.

Citations 1

Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer
Winham, Stacey J. , Scott, Christopher G. , Gastounioti, Aimilia , Horng, Hannah , Norman, Aaron D. , Mankowski, Walter C. , Pantalone, Lauren , Jensen, Matthew R. , Acciavatti, Raymond J. , Cohen, Eric A. , Brandt, Kathleen R. , Vachon, Celine M. , Scott, Christopher , Gastounioti, Aimilia , Horng, Hannah , Norman, Aaron D , Mankowski, Walter C , Jensen, Matthew R , Acciavatti, Raymond J , Maidment, Andrew D A , Brandt, Kathleen R , Conant, Emily F , Kerlikowske, Karla M , Kontos, Despina , Vachon, Celine M. , Winham, Stacey J , McCarthy, Anne Marie , Maidment, Andrew D. A. , Conant, Emily F. , Kerlikowske, Karla

Radiology | May 13, 2025 | Volume: 315 | Issue: 2 | Pages: No page available

10.1148/radiol.240281 Get It

Radiomic parenchymal phenotypes on mammograms were used to predict breast cancer risk among both Black and White women, notably for false-negative findings and symptomatic interval cancer.