000 01754 a2200469 4500
005 20250517140043.0
264 0 _c20180712
008 201807s 0 0 eng d
022 _a1522-2586
024 7 _a10.1002/jmri.25655
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aHarowicz, Michael R
245 0 0 _aCan algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
_h[electronic resource]
260 _bJournal of magnetic resonance imaging : JMRI
_c11 2017
300 _a1332-1340 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aAged, 80 and over
650 0 4 _aAlgorithms
650 0 4 _aArea Under Curve
650 0 4 _aBiopsy, Large-Core Needle
650 0 4 _aBreast Neoplasms
_xdiagnostic imaging
650 0 4 _aCarcinoma, Intraductal, Noninfiltrating
_xdiagnostic imaging
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aMagnetic Resonance Imaging
650 0 4 _aMiddle Aged
650 0 4 _aNeoplasm Invasiveness
650 0 4 _aNeoplasm Staging
_xmethods
650 0 4 _aPreoperative Period
650 0 4 _aRadiology
650 0 4 _aRetrospective Studies
700 1 _aSaha, Ashirbani
700 1 _aGrimm, Lars J
700 1 _aMarcom, P Kelly
700 1 _aMarks, Jeffrey R
700 1 _aHwang, E Shelley
700 1 _aMazurowski, Maciej A
773 0 _tJournal of magnetic resonance imaging : JMRI
_gvol. 46
_gno. 5
_gp. 1332-1340
856 4 0 _uhttps://doi.org/10.1002/jmri.25655
_zAvailable from publisher's website
999 _c26865014
_d26865014