AIM: To investigate the diagnostic performance of acoustic radiation force impulse (ARFI) elastography for characterizing focal liver mass by quantifying their stiffness. METHODS: This prospective study included 62 patients with a focal liver mass that was well visualized on conventional ultrasonography performed in our institution from February 2011 to November 2011. Among them, 12 patients were excluded for ARFI measurement failure due to a lesion that was smaller than the region of the interest and at an inaccessible location (deeper than 8 cm) (n = 7) or poor compliance to hold their breath as required (n = 5). Finally, 50 patients with valid ARFI measurements were enrolled. If a patient had multiple liver masses, only one mass of interest was chosen. The masses were diagnosed by histological examination or clinical diagnostic criteria. During ultrasonographic evaluation, stiffness, expressed as velocity, was checked 10 times per focal liver mass and the surrounding liver parenchyma. RESULTS: After further excluding three masses that were non-diagnostic on biopsy, a total of 47 focal mass lesions were tested, including 39 (83.0%) malignant masses [24 hepatocellular carcinomas (HCC), seven cholangiocellular carcinomas (CCC), and eight liver metastases] and eight (17.0%) benign masses (five hemangiomas and three focal nodular hyperplasias, FNH). Thirty-seven (74.0%) masses were confirmed by histological examination. The mean velocity was 2.48 m/s in HCCs, 1.65 m/s in CCCs, 2.35 m/s in metastases, 1.83 m/s in hemangiomas, and 0.97 m/s in FNHs. Although considerable overlap was still noted between malignant and benign masses, significant differences in ARFI values were observed between malignant and benign masses (mean 2.31 m/s vs 1.51 m/s, P = 0.047), as well as between HCCs and benign masses (mean 2.48 m/s vs 1.51 m/s, P = 0.006). The areas under the receiver operating characteristics curves (AUROC) for discriminating the malignant masses from benign masses was 0.724 (95%CI, 0.566-0.883, P = 0.048), and the AUROC for discriminating HCCs from benign masses was 0.813 (95%CI, 0.649-0.976, P = 0.008). To maximize the sum of sensitivity and specificity, an ARFI value of 1.82 m/s was selected as the cutoff value to differentiate malignant from benign liver masses. Furthermore, the cutoff value for distinguishing HCCs from benign masses was also determined to be 1.82 m/s. The diagnostic performance of the sum of the ARFI values for focal liver masses and the surrounding liver parenchyma to differentiate liver masses improved (AUROC = 0.853; 95%CI, 0.745-0.960; P = 0.002 in malignant liver masses vs benign ones and AUROC = 0.948; 95%CI, 0.896-0.992, P < 0.001 in HCCs vs benign masses). CONCLUSION: ARFI elastography provides additional information for the differential diagnosis of liver masses. However, our results should be interpreted in clinical context, because considerable overlap in ARFI values existed among liver masses.
AIM: To investigate the diagnostic performance of acoustic radiation force impulse (ARFI) elastography for characterizing focal liver mass by quantifying their stiffness. METHODS: This prospective study included 62 patients with a focal liver mass that was well visualized on conventional ultrasonography performed in our institution from February 2011 to November 2011. Among them, 12 patients were excluded for ARFI measurement failure due to a lesion that was smaller than the region of the interest and at an inaccessible location (deeper than 8 cm) (n = 7) or poor compliance to hold their breath as required (n = 5). Finally, 50 patients with valid ARFI measurements were enrolled. If a patient had multiple liver masses, only one mass of interest was chosen. The masses were diagnosed by histological examination or clinical diagnostic criteria. During ultrasonographic evaluation, stiffness, expressed as velocity, was checked 10 times per focal liver mass and the surrounding liver parenchyma. RESULTS: After further excluding three masses that were non-diagnostic on biopsy, a total of 47 focal mass lesions were tested, including 39 (83.0%) malignant masses [24 hepatocellular carcinomas (HCC), seven cholangiocellular carcinomas (CCC), and eight liver metastases] and eight (17.0%) benign masses (five hemangiomas and three focal nodular hyperplasias, FNH). Thirty-seven (74.0%) masses were confirmed by histological examination. The mean velocity was 2.48 m/s in HCCs, 1.65 m/s in CCCs, 2.35 m/s in metastases, 1.83 m/s in hemangiomas, and 0.97 m/s in FNHs. Although considerable overlap was still noted between malignant and benign masses, significant differences in ARFI values were observed between malignant and benign masses (mean 2.31 m/s vs 1.51 m/s, P = 0.047), as well as between HCCs and benign masses (mean 2.48 m/s vs 1.51 m/s, P = 0.006). The areas under the receiver operating characteristics curves (AUROC) for discriminating the malignant masses from benign masses was 0.724 (95%CI, 0.566-0.883, P = 0.048), and the AUROC for discriminating HCCs from benign masses was 0.813 (95%CI, 0.649-0.976, P = 0.008). To maximize the sum of sensitivity and specificity, an ARFI value of 1.82 m/s was selected as the cutoff value to differentiate malignant from benign liver masses. Furthermore, the cutoff value for distinguishing HCCs from benign masses was also determined to be 1.82 m/s. The diagnostic performance of the sum of the ARFI values for focal liver masses and the surrounding liver parenchyma to differentiate liver masses improved (AUROC = 0.853; 95%CI, 0.745-0.960; P = 0.002 in malignant liver masses vs benign ones and AUROC = 0.948; 95%CI, 0.896-0.992, P < 0.001 in HCCs vs benign masses). CONCLUSION: ARFI elastography provides additional information for the differential diagnosis of liver masses. However, our results should be interpreted in clinical context, because considerable overlap in ARFI values existed among liver masses.
Authors: F Piscaglia; V Salvatore; R Di Donato; M D'Onofrio; S Gualandi; A Gallotti; E Peri; A Borghi; F Conti; G Fattovich; E Sagrini; A Cucchetti; P Andreone; L Bolondi Journal: Ultraschall Med Date: 2011-02-14 Impact factor: 6.548
Authors: Seung Up Kim; Hui Won Jang; Jae Youn Cheong; Ja Kyung Kim; Myung Hee Lee; Dong Joon Kim; Jin Mo Yang; Sung Won Cho; Kwan Sik Lee; Eun Hee Choi; Young Nyun Park; Kwang-Hyub Han Journal: J Gastroenterol Hepatol Date: 2011-01 Impact factor: 4.029
Authors: Mark L Palmeri; Michael H Wang; Ned C Rouze; Manal F Abdelmalek; Cynthia D Guy; Barry Moser; Anna Mae Diehl; Kathryn R Nightingale Journal: J Hepatol Date: 2011-01-21 Impact factor: 25.083
Authors: Yufeng Deng; Mark L Palmeri; Ned C Rouze; Stephen J Rosenzweig; Manal F Abdelmalek; Kathryn R Nightingale Journal: Ultrasound Med Biol Date: 2015-04-18 Impact factor: 2.998
Authors: Paul Kennedy; Mathilde Wagner; Laurent Castéra; Cheng William Hong; Curtis L Johnson; Claude B Sirlin; Bachir Taouli Journal: Radiology Date: 2018-03 Impact factor: 11.105
Authors: Maxime Ronot; Sara Di Renzo; Bettina Gregoli; Rafael Duran; Laurent Castera; Bernard E Van Beers; Valérie Vilgrain Journal: Eur Radiol Date: 2014-09-19 Impact factor: 5.315
Authors: Kathryn R Nightingale; Charles C Church; Gerald Harris; Keith A Wear; Michael R Bailey; Paul L Carson; Hui Jiang; Kurt L Sandstrom; Thomas L Szabo; Marvin C Ziskin Journal: J Ultrasound Med Date: 2015-07 Impact factor: 2.153