Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

World J Clin Cases. Jan 14, 2022; 10(2): 518-527
Published online Jan 14, 2022. doi: 10.12998/wjcc.v10.i2.518

Table 1 results of 107 breast cases

Pathological results	Number of nodules
Benign
Fibroadenoma	32
Adenosis	18
Granulomatous mastitis	3
Intraductal papilloma	2
Galactocele	2
Plasma cell mastitis	1
Phyllodes tumor	1
Sclerosing adenosis	1
Nodular fasciitis	1
Malignant
Invasive ductal carcinoma	31
Intraductal papillary carcinoma	5
Invasive lobular carcinoma	4
Encapsulated papillary carcinoma	2
Mucinous carcinoma	1
Undifferentiated carcinoma	1
Malignant phyllodes tumor	1
Solid papillary carcinoma	1

Citation: Lyu SY, Zhang Y, Zhang MW, Zhang BS, Gao LB, Bai LT, Wang J. Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules. World J Clin Cases 2022; 10(2): 518-527
URL: https://www.wjgnet.com/2307-8960/full/v10/i2/518.htm
DOI: https://dx.doi.org/10.12998/wjcc.v10.i2.518

Lyu SY, Zhang Y, Zhang MW, Zhang BS, Gao LB, Bai LT, Wang J. Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules. World J Clin Cases 2022; 10(2): 518-527 [PMID: 35097077 DOI: 10.12998/wjcc.v10.i2.518]

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