title: MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma.
abstract: OBJECTIVE
  Head and neck cancer is common, and understanding the prognosis is an important part of patient management. In addition to the Tumor, Node, Metastasis staging system, tumor biomarkers are becoming more useful in understanding prognosis and directing treatment. We assessed whether MR imaging texture analysis would correctly classify oropharyngeal squamous cell carcinoma according to p53 status.
  
  
  METHODS
  A cohort of 16 patients with oropharyngeal squamous cell carcinoma was prospectively evaluated by using standard clinical, histopathologic, and imaging techniques. Tumors were stained for p53 and scored by an anatomic pathologist. Regions of interest on MR imaging were selected by a neuroradiologist and then analyzed by using our 2D fast time-frequency transform tool. The quantified textures were assessed by using the subset-size forward-selection algorithm in the Waikato Environment for Knowledge Analysis. Features found to be significant were used to create a statistical model to predict p53 status. The model was tested by using a Bayesian network classifier with 10-fold stratified cross-validation.
  
  
  RESULTS
  Feature selection identified 7 significant texture variables that were used in a predictive model. The resulting model predicted p53 status with 81.3% accuracy (P < .05). Cross-validation showed a moderate level of agreement (κ = 0.625).
  
  
  CONCLUSIONS
  This study shows that MR imaging texture analysis correctly predicts p53 status in oropharyngeal squamous cell carcinoma with ∼80% accuracy. As our knowledge of and dependence on tumor biomarkers expand, MR imaging texture analysis warrants further study in oropharyngeal squamous cell carcinoma and other head and neck tumors.
authors.affiliation: Department of Radiology (M.D., J.T.L.), University of Calgary, Calgary, Alberta, Canada.
authors.forename: M
authors.initials: M
authors.lastname: Dang
authors.affiliation: Department of Radiology (M.D., J.T.L.), University of Calgary, Calgary, Alberta, Canada.
authors.forename: J T
authors.initials: JT
authors.lastname: Lysack
authors.affiliation: School of Computing, Informatics, Decision Systems Engineering (G.B., T.W.), Arizona State University, Tempe, Arizona.
authors.forename: T
authors.initials: T
authors.lastname: Wu
authors.affiliation: From the Section of Otolaryngology-Head and Neck Surgery (T.W.M., S.P.C., P.B., J.C.D.).
authors.forename: T W
authors.initials: TW
authors.lastname: Matthews
authors.affiliation: From the Section of Otolaryngology-Head and Neck Surgery (T.W.M., S.P.C., P.B., J.C.D.).
authors.forename: S P
authors.initials: SP
authors.lastname: Chandarana
authors.affiliation: Department of Population Health Research (N.T.B.), Alberta Health Services, Calgary, Alberta, Canada.
authors.forename: N T
authors.initials: NT
authors.lastname: Brockton
authors.affiliation: From the Section of Otolaryngology-Head and Neck Surgery (T.W.M., S.P.C., P.B., J.C.D.).
authors.forename: P
authors.initials: P
authors.lastname: Bose
authors.affiliation: School of Computing, Informatics, Decision Systems Engineering (G.B., T.W.), Arizona State University, Tempe, Arizona.
authors.forename: G
authors.initials: G
authors.lastname: Bansal
authors.affiliation: Department of Radiology (H.C., J.R.M.), Mayo Clinic College of Medicine, Scottsdale, Arizona.
authors.forename: H
authors.initials: H
authors.lastname: Cheng
authors.affiliation: Department of Radiology (H.C., J.R.M.), Mayo Clinic College of Medicine, Scottsdale, Arizona.
authors.forename: J R
authors.initials: JR
authors.lastname: Mitchell
authors.affiliation: From the Section of Otolaryngology-Head and Neck Surgery (T.W.M., S.P.C., P.B., J.C.D.) jdort@ucalgary.ca.
authors.forename: J C
authors.initials: JC
authors.lastname: Dort
mesh_terms: D000328:Adult; D001499:Bayes Theorem; D014408:Biomarkers, Tumor / Q000032:analysis; D002294:Carcinoma, Squamous Cell / Q000145:classification / Q000473:pathology*; D005260:Female; D006258:Head and Neck Neoplasms / Q000145:classification / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009959:Oropharyngeal Neoplasms / Q000145:classification / Q000473:pathology*; D000077195:Squamous Cell Carcinoma of Head and Neck; D016159:Tumor Suppressor Protein p53 / Q000096:biosynthesis*
chemical_list: D014408:Biomarkers, Tumor; D016159:Tumor Suppressor Protein p53