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Screening for Breast Cancer: Evidence Report and Systematic Review for the US Preventive Services Task Force | Breast Cancer | JAMA

This systematic review to support a 2024 US Preventive Services Task Force Recommendation Statement summarizes published evidence on the benefits and

United kingdomJill popeNehmat houssamiKarla kerlikowskeLesliea purduePatricia ganzJilliant hendersonGerald gartlehnerMelinda daviesAlisa newmanHeidid nelsonUnited kingdom committee on cancer researchHealth researchHealth benefits of screeningPractice centerUs department of health

Elevated MRI Enhancement Ups Cancer Risk in Women with Very Dense Breasts

Elevated MRI Enhancement Ups Cancer Risk in Women with Very Dense Breasts
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United statesKenneth ga gilhuijsUniversity medical center utrechtRadiological society of north americaDepartment of radiologyRadiological societyNorth americaDense tissueEarly breast neoplasm screeningBreast density contentBreast imaging content

RSNA: Elevated MRI Enhancement Ups Cancer Risk in Women with Very Dense Breasts

OAK BROOK, Ill. (PRWEB) August 08, 2023 A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of

New york universityNew yorkUnited statesOak brookWouterb veldhuisMarijef bakkerErik verburgShui wangLinda moyRuudm pijnappelKenneth ga gilhuijsRadiological society of north americaYork universityRadiological society of north america incDepartment of radiologyUniversity medical center utrecht

Elevated MRI enhancement helps indicate cancer risk in women with very dense breasts

Elevated MRI enhancement helps indicate cancer risk in women with very dense breasts
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United statesKenneth ga gilhuijsRadiological society of north americaDepartment of radiologyUniversity medical center utrechtRadiological societyNorth americaDense tissueEarly breast neoplasm screeningAssessing quantitative parenchymal featuresBaseline dynamic contrast enhancedCancer occurrenceExtremely dense breasts

Machine learning model finds new breast cancer risk indicator in women with dense breasts

A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

United statesMegan craigKenneth ga gilhuijsStudy coUniversity medical center utrechtRadiological society of north americaDepartment of radiologyRadiological societyNorth americaStudy co authorDense tissueEarly breast neoplasm screeningBody mass indexBreast cancerMachine learning