PURPOSE. Development of elastometry and elastography in differential diagnostics of liver hyperechoic lesions (hemangioma and colorectal cancer metastases) MATERIALS AND METHODS. 180 patients examined due to liver hyperechoic lesions. All patients underwent elastography in manual compression mode, ultrasound examination in the аcoustic radiationforce impulse (ARFI) mode and in shear wave velocity (SWV) mode. RESULTS. According to the data from elastography in manual compression mode in

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... group with colorectal liver metastases in 71 % cases lesions were rigid. In patient's group with hemangioma lesions in 88 % cases were soft. According to the data from elastography in the ARFI mode in patient's group with colorectal liver metastases in 71 % cases lesions were rigid. In group of patients with liver hemangioma in 88 % cases lesions were soft. According to the tumor tissue elastometry data in patients with colorectal liver metastases RSTW was high - 3,24 m/sec (range 1,4-4,22 m/sec), median of RTSW was 3,38 m/sec. In patient's group with liver hemangioma RSTW was the lowest -1,07 m/sec (range 0,75-3,86 m/sec), median - 0,93 m/sec. CONCLUSION. Informativeness of elastography in manual compression mode for colorectal liver metastases (n=110): 98 % sensitivity, 98 % accuracy, 100 % positive predictive value. Informativeness of elastography in manual compression mode for liver hemangioma (n=70): 94 % sensitivity, 94 % accuracy, 100 % negative predictive value._ 19 ДИФФЕРЕНЦИАЛЬНАЯ ДИАГНОСТИКА ОЧАГОВЫХ ГИПЕРЭХОГЕННЫХ ОБРАЗОВАНИЙ В ПЕЧЕНИ Informativeness of elastography in ARFI mode for colorectal liver metastases (n=110): 100 % sensitivity, 100 % accuracy, 100 % positive predictive value. Informativeness of elastography in ARFI mode for liver hemangioma (n=45): 94 % sensitivity, 100 % accuracy, 100 % negative predictive value. Elastometry data for liver malignant tumors detection were more informative when RSTW threshold level was 2,0 m/sec (if more than 2,0 m/sec then malignant tumor, if less than 2 m/sec then benign tumor): 94 % accuracy, 91 % sensitivity, 97 % specificity, 92 % negative predictive value.