文献
J-GLOBAL ID:201702221835255042
整理番号:17A1826598
アルゴリズムで評価されたMRI特徴できる非浸潤性乳管癌と術前診断した患者は浸潤性乳癌になっで予測する【Powered by NICT】
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
著者 (9件):
Harowicz Michael R.
(Department of Radiology, Duke University School of Medicine, Duke University, Durham, North Carolina, USA)
,
Saha Ashirbani
(Department of Radiology, Duke University School of Medicine, Duke University, Durham, North Carolina, USA)
,
Grimm Lars J.
(Department of Radiology, Duke University School of Medicine, Duke University, Durham, North Carolina, USA)
,
Marcom P. Kelly
(Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA)
,
Marks Jeffrey R.
(Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA)
,
Hwang E. Shelley
(Department of Surgical Oncology, Duke University Medical Center, Durham, North Carolina, USA)
,
Mazurowski Maciej A.
(Department of Radiology, Duke University School of Medicine, Duke University, Durham, North Carolina, USA)
,
Mazurowski Maciej A.
(Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA)
,
Mazurowski Maciej A.
(Duke University Medical Physics Program, Durham, North Carolina, USA)
資料名:
Journal of Magnetic Resonance Imaging
(Journal of Magnetic Resonance Imaging)
巻:
46
号:
5
ページ:
1332-1340
発行年:
2017年
JST資料番号:
W2648A
ISSN:
1053-1807
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)