title: Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma.
abstract: OBJECTIVE
  To investigate whether the histological grade of hepatocellular carcinoma (HCC) can be predicted using the apparent diffusion coefficient (ADC).
  
  
  METHODS
  This retrospective study group consisted of 80 patients with 85 surgically resected HCCs who underwent preoperative MRI exams including diffusion-weighted imaging. The tumors were histologically classified into five groups as follows: five well (w-), 17 well to moderately (wm-), 37 moderately (m-), 16 moderately to poorly (mp-), and 10 poorly (p-) differentiated HCCs. For ADC measurement of each HCC, the largest possible region of interest was placed on the solid region on the ADC map where ADC was considered to be the lowest. The average ADCs of the five histological grades were compared using Spearman's rank correlation test and Student's t-test, and the diagnostic performance of ADC for mp- and p-HCCs was also evaluated using a receiver operating characteristic-based positive test.
  
  
  RESULTS
  The average ADC of p-HCC (0.76±0.10×10(-3) mm2/s) was significantly lower than those of the other four histological grades. The average ADC of mp-HCCs (0.99±0.20×10(-3) mm2/s) was significantly lower than those of w-, wm- and m-HCCs. The sensitivity, specificity, PPV, NPV, and accuracy, when an ADC of 0.972 or lower was considered an indicator of mp- and p-HCCs, were 73.1%, 72.9%, 54.3%, 86.0% and 72.9%, respectively.
  
  
  CONCLUSIONS
  ADCs of mp- and p-HCCs were lower than those of w-, wm- and m-HCCs. ADC can contribute to radiological diagnosis of poorly differentiated components in HCCs.
authors.affiliation: Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. anishie@radiol.med.kyushu-u.ac.jp
authors.forename: Akihiro
authors.initials: A
authors.lastname: Nishie
authors.forename: Tsuyoshi
authors.initials: T
authors.lastname: Tajima
authors.forename: Yoshiki
authors.initials: Y
authors.lastname: Asayama
authors.forename: Kousei
authors.initials: K
authors.lastname: Ishigami
authors.forename: Daisuke
authors.initials: D
authors.lastname: Kakihara
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Nakayama
authors.forename: Yukihisa
authors.initials: Y
authors.lastname: Takayama
authors.forename: Daisuke
authors.initials: D
authors.lastname: Okamoto
authors.forename: Nobuhiro
authors.initials: N
authors.lastname: Fujita
authors.forename: Akinobu
authors.initials: A
authors.lastname: Taketomi
authors.forename: Kengo
authors.initials: K
authors.lastname: Yoshimitsu
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Honda
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D006528:Carcinoma, Hepatocellular / Q000473:pathology* / Q000601:surgery; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D008113:Liver Neoplasms / Q000473:pathology* / Q000601:surgery; D008297:Male; D008875:Middle Aged; D060787:Neoplasm Grading; D011237:Predictive Value of Tests; D012372:ROC Curve; D012189:Retrospective Studies