BACKGROUND: To establish a preoperative morphological classification system for hepatocellular carcinoma using multiphase computed tomography. METHODS: All consecutive patients who were diagnosed with hepatocellular carcinoma between 2004 and 2009 were enrolled, for a total of 232 patients. The concavity and convexity of each outer contour of hepatocellular carcinoma acquired from multiphase computed tomography were analyzed, and the area and depth of each indentation were quantified. The indentation area to tumor area ratio (s:S) and the s:S ratio multiplied by the indentation depth to indentation base ratio (s:S × d:t) were used as feature values reflecting the individual shapes. RESULTS: Using a hierarchical cluster analysis, the shapes were classified into three groups: Type I (smooth: n = 158), Type II (jagged: n = 63), and Type III (rough: n = 11). The 5-year survival rates for Types I, II, and III were 64, 53, and 0 %, respectively (I vs. II, P = 0.038; I vs. III, P = 0.001; II vs. III, P = 0.002). The 5-year disease-free survival rates for Types I, II, and III were 27, 23, and 0 %, respectively (I vs. III, P = 0.0003 and II vs. III, P = 0.008). Microscopic portal venous invasion was significantly more likely with Type III than with Type I or II (P < 0.001 and P = 0.001, respectively). CONCLUSIONS: The newly developed semiautomatic computed tomography-based morphological classification system appears to provide a promising additional criterion for the prognostic categorization of patients with hepatocellular carcinoma.
BACKGROUND: To establish a preoperative morphological classification system for hepatocellular carcinoma using multiphase computed tomography. METHODS: All consecutive patients who were diagnosed with hepatocellular carcinoma between 2004 and 2009 were enrolled, for a total of 232 patients. The concavity and convexity of each outer contour of hepatocellular carcinoma acquired from multiphase computed tomography were analyzed, and the area and depth of each indentation were quantified. The indentation area to tumor area ratio (s:S) and the s:S ratio multiplied by the indentation depth to indentation base ratio (s:S × d:t) were used as feature values reflecting the individual shapes. RESULTS: Using a hierarchical cluster analysis, the shapes were classified into three groups: Type I (smooth: n = 158), Type II (jagged: n = 63), and Type III (rough: n = 11). The 5-year survival rates for Types I, II, and III were 64, 53, and 0 %, respectively (I vs. II, P = 0.038; I vs. III, P = 0.001; II vs. III, P = 0.002). The 5-year disease-free survival rates for Types I, II, and III were 27, 23, and 0 %, respectively (I vs. III, P = 0.0003 and II vs. III, P = 0.008). Microscopic portal venous invasion was significantly more likely with Type III than with Type I or II (P < 0.001 and P = 0.001, respectively). CONCLUSIONS: The newly developed semiautomatic computed tomography-based morphological classification system appears to provide a promising additional criterion for the prognostic categorization of patients with hepatocellular carcinoma.
Authors: T Takayama; T Sekine; M Makuuchi; S Yamasaki; T Kosuge; J Yamamoto; K Shimada; M Sakamoto; S Hirohashi; Y Ohashi; T Kakizoe Journal: Lancet Date: 2000-09-02 Impact factor: 79.321
Authors: K Shirabe; S Aishima; A Taketomi; Y Soejima; H Uchiyama; H Kayashima; M Ninomiya; Y Mano; Y Maehara Journal: Br J Surg Date: 2011-02 Impact factor: 6.939
Authors: T Takayama; M Makuuchi; S Hirohashi; M Sakamoto; J Yamamoto; K Shimada; T Kosuge; S Okada; K Takayasu; S Yamasaki Journal: Hepatology Date: 1998-11 Impact factor: 17.425
Authors: Francesco Bellissimo; Marilia Rita Pinzone; Bruno Cacopardo; Giuseppe Nunnari Journal: World J Gastroenterol Date: 2015-11-14 Impact factor: 5.742