title: The Role of Dual-Phase Cone-Beam CT in Predicting Short-Term Response after Transarterial Chemoembolization for Hepatocellular Carcinoma.
abstract: OBJECTIVE
  To identify computational and qualitative features derived from dual-phase cone-beam CT that predict short-term response in patients undergoing transarterial chemoembolization for hepatocellular carcinoma (HCC).
  
  
  METHODS
  This retrospective study included 43 patients with 59 HCCs. Six features were extracted, including intensity of tumor enhancement on both phases and characteristics of the corona on the washout phase. Short-term response was evaluated by modified Response Evaluation Criteria in Solid Tumors on follow-up imaging, and extracted features were correlated to response using univariate and multivariate analyses.
  
  
  RESULTS
  Univariate and multivariate analyses did not reveal a correlation between absolute and relative tumor enhancement characteristics on either phase with response (arterial P = .21; washout P = .40; ∆ P = .90). On multivariate analysis of qualitative characteristics, the presence of a diffuse corona was an independent predictor of incomplete response (P = .038) and decreased the odds ratio of objective response by half regardless of tumor size.
  
  
  CONCLUSIONS
  Computational features extracted from contrast-enhanced dual-phase cone-beam CT are not prognostic of response to transarterial chemoembolization in patients with HCC. HCCs that demonstrate a diffuse, patchy corona have reduced odds of achieving complete response after transarterial chemoembolization and should be considered for additional treatment with an alternative modality.
authors.affiliation: Stanford University School of Medicine, Stanford, California.
authors.forename: Kerstin
authors.initials: K
authors.lastname: Müller
authors.affiliation: Siemens Medical Solutions, Inc, Malvern, Pennsylvania.
authors.forename: Sanjit
authors.initials: S
authors.lastname: Datta
authors.affiliation: Siemens Healthcare GmbH, Forchheim, Germany.
authors.forename: Sonja
authors.initials: S
authors.lastname: Gehrisch
authors.affiliation: Stanford University School of Medicine, Stanford, California.
authors.forename: Moiz
authors.initials: M
authors.lastname: Ahmad
authors.affiliation: Stanford Health Care, Stanford, California; Theodor Bilharz Research Institute, Giza, Egypt.
authors.forename: Mohammed Ahmed Abdelrazek
authors.initials: MA
authors.lastname: Mohammed
authors.affiliation: Stanford University School of Medicine, Stanford, California.
authors.forename: Jarrett
authors.initials: J
authors.lastname: Rosenberg
authors.affiliation: Stanford Health Care, Stanford, California.
authors.forename: Gloria L
authors.initials: GL
authors.lastname: Hwang
authors.affiliation: Stanford Health Care, Stanford, California.
authors.forename: John D
authors.initials: JD
authors.lastname: Louie
authors.affiliation: Stanford Health Care, Stanford, California.
authors.forename: Daniel Y
authors.initials: DY
authors.lastname: Sze
authors.affiliation: Stanford Health Care, Stanford, California. Electronic address: kothary@stanford.edu.
authors.forename: Nishita
authors.initials: N
authors.lastname: Kothary
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D006528:Carcinoma, Hepatocellular / Q000000981:diagnostic imaging* / Q000473:pathology / Q000628:therapy*; D016461:Chemoembolization, Therapeutic; D054893:Cone-Beam Computed Tomography; D005260:Female; D006801:Humans; D016014:Linear Models; D008113:Liver Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011857:Radiographic Image Interpretation, Computer-Assisted; D012189:Retrospective Studies; D013997:Time Factors; D016896:Treatment Outcome; D047368:Tumor Burden