International Journal of Radiation Research

en Breast-specific gamma imaging versus ultrasound and mammography for breast cancer diagnosis: A meta-analysis Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: Breast cancer (BC) is presently reported to have the highest incidence of cancer in females globally. Several imaging methods are available for early BC diagnosis and for improving its treatment outcomes. The present meta-analysis compared the effectiveness of breast-specific gamma imaging (BSGI), mammography, and ultrasound for diagnosing BC. Material and Methods: Relevant studies on this topic were retrieved from the PubMed, Scopus, and EMBASE databases. Pooled sensitivity and specificity as well as the area under the curve (AUC) value of a summary receiver operating characteristic (SROC) curve of the three imaging modalities were compared. Results: Ten studies were retrieved, which included 2621 lesions from 2482 patients. The pooled sensitivity values of BSGI, ultrasound, and mammography were 0.90, 0.88, and 0.75, respectively (95% confidence interval (CI): 0.88-0.91, 0.86-0.89, and 0.72-0.77, respectively). The pooled specificity values of BSGI, ultrasound, and mammography were 0.83, 0.67, and 0.76, respectively (95% CI: 0.81-0.85, 0.64-0.69, and 0.74-0.78, respectively). The AUC values of BSGI, ultrasound, and mammography were 0.9355, 0.8644, and 0.8221, respectively. Conclusions: Compared to ultrasound and mammography, BSGI has the best diagnostic performance to discern malignant and benign breast lesions and could play a crucial role in diagnosing BC in women who have dense breasts.</div> BSGI, ultrasound, mammography, breast cancer, meta-analysis. 27 33 http://ijrr.com/browse.php?a_code=A-10-1-1134&slc_lang=en&sid=1 Y. Zhang 7900319475328460025841 7900319475328460025841 No Department of General Surgery, Department of Radiology, Department of Orthopedics, the Ninth Affiliated Hospital of Guangxi Medical University, Beihai, Guangxi Province, China D. Zhu 7900319475328460025842 7900319475328460025842 No Department of Radiology, Department of Orthopedics, the Ninth Affiliated Hospital of Guangxi Medical University, Beihai, Guangxi Province, China R. Feng fengruibin0915@163.com 7900319475328460025843 7900319475328460025843 Yes Department of Orthopedics, the Ninth Affiliated Hospital of Guangxi Medical University, Beihai, Guangxi Province, China