Abstract Objective: To study the value of automated breast volume scanner(ABVS) in calf muscular venous thrombosis. Methods: Five hundred and thirty-nine patients were subjected to an ABVS examination in the supine position, and data were automatically sent to the ABVS workstation. And then diagnosis of lesions with the volume data and hand-held ultrasonography(HHUS) by two radiologists independently and blindly. Detection rate predictive value of each method were analysed. Results: ①The number of lesions initially detected by ABVS were 86 patients(including 141 limbs, 172 lesions) and 68 by HHUS were patients(including 112 limbs, 122 lesions). ②ABVS discovered additional new findings and corrected the diagnosis in 17 patients(including 27 limbs, 42 lesions). The detection accuracy of HHUS and ABVS were 10.4%(112/1 078) and 12.9%(139/1 078) respectively. McNemar test showed statistically significant(P=0.00) in detection accuracy. ③There was statistical significance(P=0.00) in single and multitudinous lesions of detection accuracy by ABVS and HHUS. Conclusions: Automated breast volume scanner provides advantages of visualization of the whole calf muscular, especially in the coronal plane of ABVS, which can enhance the detection rate of ultrasound in the diagnosis of calf muscular venous thrombosis.
SI Cai-feng,CUI Ke-fei,FU Chao, et al. The role of automated breast volume scanner in the diagnosis of calf muscular venous thrombosis[J]. , 2014, 25(8): 592-595.
2014, Vol. 25 
