Art
J-GLOBAL ID:201802222987953525
Reference number:18A0662852
Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy
BI-RADS 第5版を用いた乳房MRIを分類する評価システム:悪性の可能性に関する非質量増大記述子の統計学的研究
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Material:
Volume:
36
Issue:
3
Page:
200-208
Publication year:
Mar. 25, 2018
JST Material Number:
L3853A
ISSN:
1867-1071
Document type:
Article
Article type:
原著論文
Country of issue:
Germany, Federal Republic of (DEU)
Language:
ENGLISH (EN)
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Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (1):
JST classification
Category name(code) classified by JST.
Radiodiagnosis
Reference (19):
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D’Orsi C, Sickles EA, Mendelson EB, Morris EA. Breast imaging reporting and data system: ACR BI-RADS breast imaging atlas. 5th ed. Virginia: American College of Radiology; 2013.
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Sakamoto N, Tozaki M, Higa K, Tsunoda Y, Ogawa T, Abe S, et al. Categorization of non-mass-like breast lesions detected by MRI. Breast Cancer. 2008;15:241-6.
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Tozaki M, Igarashi T, Fukuda K. Breast MRI using the VIBE sequence: clustered ring enhancement in the differential diagnosis of lesions showing non-mass-like enhancement. AJR Am J Roentgenol. 2006;187:313-21.
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Gutierrez RL, DeMartini WB, Eby PR, Kurland BF, Peacock S, Lehman CD. BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement. AJR Am J Roentgenol. 2009;193:994-1000.
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Mahoney MC, Gatsonis C, Hanna L, DeMartini WB, Lehman C. Positive predictive value of BI-RADS MR imaging. Radiology. 2012;264:51-8.
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