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A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.

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第一作者： Matteo,Interlenghi

第一单位： DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy.

作者： Matteo,Interlenghi ^[1] ; Christian,Salvatore ^[2] ; Veronica,Magni ^[3] ; Gabriele,Caldara ^[4] ; Elia,Schiavon ^[1] ; Andrea,Cozzi ^[3] ; Simone,Schiaffino ^[5] ; Luca Alessandro,Carbonaro ^[6] ; Isabella,Castiglioni ^[7] ; Francesco,Sardanelli ^[8]

作者单位： DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy. ^[1] DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy.;Department of Science, Technology and Society, Scuola Universitaria IUSS, Istituto Universitario di Studi Superiori, Piazza della Vittoria 15, 27100 Pavia, Italy. ^[2] Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy. ^[3] Department of Science, Technology and Society, Scuola Universitaria IUSS, Istituto Universitario di Studi Superiori, Piazza della Vittoria 15, 27100 Pavia, Italy. ^[4] Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. ^[5] Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza dell'Ospedale Maggiore 3, 20162 Milano, Italy.;Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy. ^[6] Institute of Biomedical Imaging and Physiology, Consiglio Nazionale delle Ricerche, Via Fratelli Cervi 93, 20090 Segrate, Italy.;Department of Physics, Università degli Studi di Milano-Bicocca, Piazza Della Scienza 3, 20126 Milano, Italy. ^[7] Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.;Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. ^[8]

关键词 breast cancer core needle biopsy machine learning positive predictive value radiomics sensitivity ultrasound (US)

DOI 10.3390/diagnostics12010187

PMID 35054354

发布时间 2022-01-28

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Diagnostics (Basel, Switzerland)

2022年12卷1期

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Diagnostics (Basel, Switzerland)

2022年12卷1期

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A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.

Diagnostics (Basel, Switzerland)

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A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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