title: Identifying feeding arteries during TACE of hepatic tumors: comparison of C-arm CT and digital subtraction angiography.
abstract: OBJECTIVE
  This study compares the diagnostic accuracy of C-arm CT with digital subtraction angiography (DSA) in identifying tumor-feeding arteries during superselective transarterial chemoembolization (TACE).
  
  
  METHODS
  Thirty-three consecutive patients with hepatocellular carcinoma (HCC) underwent superselective TACE using a flat-detector angiographic system. Angiographic operators determined which feeding arteries were potentially supplying the target tumor. When two or more feeding arteries were possible, all were included. Superselective DSA and C-arm CT were sequentially performed for each studied artery. Four independent observers separately viewed the DSA and C-arm CT images and used a 5-point grading scale to determine whether a studied artery supplied the target tumor. Diagnostic performance was compared using receiver operating characteristic (ROC) analysis. Sensitivity, specificity, and accuracy were calculated for arteries rated as definite or probable tumor feeders. Iodized oil accumulation on follow-up CT was the reference standard.
  
  
  RESULTS
  We examined 58 possible feeding arteries in 33 patients. Among the studied arteries, follow-up CT confirmed that 33 were verified tumor-feeding arteries, and the remaining 25 were not. C-arm CT resulted in a significantly larger area under the ROC curve (A(z) = 0.995) compared with DSA (A(z) = 0.841). The sensitivity, specificity, and accuracy of C-arm CT (96.9%, 97.0%, and 96.9%, respectively) were significantly higher than those for DSA (77.2%, 73.0%, and 75.4%).
  
  
  CONCLUSIONS
  C-arm CT is superior to DSA for identifying tumor-feeding arteries during superselective TACE for HCC.
authors.affiliation: Department of Radiology, Nissay Hospital, 6-3-8 Itachibori, Nishiku, Osaka 550-0012, Japan. iwazawa.jin@nissay-hp.or.jp
authors.forename: Jin
authors.initials: J
authors.lastname: Iwazawa
authors.forename: Shoichi
authors.initials: S
authors.lastname: Ohue
authors.forename: Takashi
authors.initials: T
authors.lastname: Mitani
authors.forename: Hisashi
authors.initials: H
authors.lastname: Abe
authors.forename: Naoko
authors.initials: N
authors.lastname: Hashimoto
authors.forename: Masao
authors.initials: M
authors.lastname: Hamuro
authors.forename: Kenji
authors.initials: K
authors.lastname: Nakamura
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015901:Angiography, Digital Subtraction / Q000379:methods*; D006528:Carcinoma, Hepatocellular / Q000000981:diagnostic imaging* / Q000628:therapy*; D016461:Chemoembolization, Therapeutic / Q000379:methods*; D003287:Contrast Media; D005260:Female; D006801:Humans; D008099:Liver / Q000098:blood supply*; D008113:Liver Neoplasms / Q000000981:diagnostic imaging* / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media