Diagnostic value of 99mTc-bombesin scintigraphy for differentiation of malignant from benign breast lesions

Objectives In this study, we evaluated the diagnostic accuracy of 99mTc-bombesin scintigraphy for differentiation of benign from malignant palpable breast lesions. 99mTc-Bombesin is a tracer with high affinity for gastrinreleasing peptide receptor, which is overexpressed on a variety of human tumors including breast carcinoma

Methods We examined 33 consecutive women who were referred to our center with suspicious palpable breast lesions but had no definitive diagnosis in other imaging procedures. A volume of 370-444MBq of 99mTc-bombesin was injected and dynamic 1-min images were taken for 20 min immediately after injection in anterior view. Thereafter, two static images in anterior and prone-lateral views were taken for 5 min. Finally, single-photon emission computed tomography images were taken for each patient. Definitive diagnosis was based on biopsy and histopathological evaluation.

Results The scan findings were positive in 19 patients and negative in 11 on visual assessment of the planar and single-photon emission computed tomography images.Pathologic examination confirmed breast carcinoma in 12 patients with positive scans and benign pathology for 18 patients. The overall sensitivity, specificity, negative and positive predictive values, and accuracy of thisradiotracer for diagnosis of breast cancer were 100, 66.1,100, 63, and 76%, respectively. Semiquantitative analysis improved the specificity of the visual assessment from 66 to 84%.

Conclusions Our study showed that 99mTc-bombesin scintigraphy has a high sensitivity and negative predictive value for detecting malignant breast lesions, but the specificity and positive predictive value of this radiotracer for differentiation of malignant breast abnormalities from benign ones are relatively low

Research Support The study was financially supported by the vice chancellery of research of Mashhad University of Medical Sciences and is the result of a residency thesis under approval number 900790.