Diagnostic value of full-field digital mammography for breast carcinoma.
- Author:
Jian-hui DING
1
;
Wei-jun PENG
;
Zhao-xia JIANG
;
Lin-hui XU
;
Dan-ting HU
;
Xiao-jing ZHENG
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Aged, 80 and over; Breast Diseases; diagnosis; diagnostic imaging; Breast Neoplasms; diagnosis; diagnostic imaging; Calcinosis; diagnosis; diagnostic imaging; Carcinoma, Ductal, Breast; diagnosis; diagnostic imaging; Diagnostic Errors; Female; Fibrocystic Breast Disease; diagnosis; diagnostic imaging; Humans; Mammography; methods; Middle Aged; Radiographic Image Interpretation, Computer-Assisted; Retrospective Studies
- From: Chinese Journal of Oncology 2009;31(11):854-857
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo evaluate the diagnostic value of full-field digital mammography for breast cancer.
METHODSThe clinical data and mammograms of 230 patients with breast diseases between January 2008 and July 2008 were collected and reviewed. Craniocaudal (CC) and mediolateral oblique (MLO) view mammograms were performed in all patients before surgery. Three experienced radiologists in breast imaging assessment analyzed and classified all the mammograms according to breast imaging reporting and data system (BI-RADS). The sensitivity, specificity and accuracy were evaluated according to their pathological diagnosis. The reasons resulting in false-negative and false-positive diagnosis were also analyzed.
RESULTSOf the 238 samples, 130 had a malignant breast tumors and 108 cases of benign breast lesions. One hundred and nine of the 130 malignant breast tumors were invasive ductal carcinoma. Fifty-seven of the 108 benign breast lesions were breast adenosis. Masses or masses with microcalcification were the most frequently seen signs of the malignant tumors, accounting for 40.8% and 20.8%, respectively. The sensitivity, specificity and accuracy of FFDM in detecting breast carcinoma were 90.8%, 87.0% and 89.1%, respectively. The false-negative signs including negative X-ray finding (5 cases) and focal asymmetric densities (4 cases). The false-positive signs were masses with spiculate, indistinctive or lobulated margin leading to misdiagnosing the lesions as malignant tumors.
CONCLUSIONFull-field digital mammography (FFDM) is helpful in detection of breast cancers in women, with a higher sensitivity, specificity and accuracy, and has an important clinical application value.