000			01946 a2200553 4500
005			20250518004014.0
264		0	_c20190822
008			201908s 0 0 eng d
022			_a1536-0210
024	7		_a10.1097/RLI.0000000000000518 _2doi
040			_aNLM _beng _cNLM
100	1		_aTahmassebi, Amirhessam
245	0	0	_aImpact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients. _h[electronic resource]
260			_bInvestigative radiology _c02 2019
300			_a110-117 p. _bdigital
500			_aPublication Type: Journal Article; Research Support, N.I.H., Extramural
650	0	4	_aAdult
650	0	4	_aAged
650	0	4	_aBreast _xdiagnostic imaging
650	0	4	_aBreast Neoplasms _xdiagnostic imaging
650	0	4	_aChemotherapy, Adjuvant
650	0	4	_aDiffusion Magnetic Resonance Imaging _xmethods
650	0	4	_aFemale
650	0	4	_aHumans
650	0	4	_aMachine Learning
650	0	4	_aMagnetic Resonance Imaging _xmethods
650	0	4	_aMiddle Aged
650	0	4	_aNeoadjuvant Therapy _xmethods
650	0	4	_aPredictive Value of Tests
650	0	4	_aProspective Studies
650	0	4	_aROC Curve
650	0	4	_aReproducibility of Results
650	0	4	_aSurvival Analysis
650	0	4	_aTreatment Outcome
700	1		_aWengert, Georg J
700	1		_aHelbich, Thomas H
700	1		_aBago-Horvath, Zsuzsanna
700	1		_aAlaei, Sousan
700	1		_aBartsch, Rupert
700	1		_aDubsky, Peter
700	1		_aBaltzer, Pascal
700	1		_aClauser, Paola
700	1		_aKapetas, Panagiotis
700	1		_aMorris, Elizabeth A
700	1		_aMeyer-Baese, Anke
700	1		_aPinker, Katja
773	0		_tInvestigative radiology _gvol. 54 _gno. 2 _gp. 110-117
856	4	0	_uhttps://doi.org/10.1097/RLI.0000000000000518 _zAvailable from publisher's website
999			_c28975988 _d28975988