title: Thin-section multiplanar reformats from multidetector-row CT data: utility for assessment of regional tumor extent in non-small cell lung cancer.
abstract: OBJECTIVE
  To determine the clinical utility of thin-section multiplanar reformats (MPRs) from multidetector-row CT (MDCT) data sets for assessing the extent of regional tumors in non-small cell lung cancer (NSCLC) patients.
  
  
  METHODS
  Sixty consecutive NSCLC patients, who were considered candidates for surgical treatment, underwent contrast-enhanced MDCT examinations, surgical resection and pathological examinations. All MDCT examinations were performed with a 4-detector row computed tomography (CT). From each raw CT data set, 5mm section thickness CT images (routine CT), 1.25 mm section thickness CT images (thin-section CT) and 1.25 mm section thickness sagittal (thin-section sagittal MPR) and coronal images (thin-section coronal MPR) were reconstructed. A 4-point visual score was used to assess mediastinal, interlobar and chest wall invasions on each image set. For assessment of utility in routine clinical practice, mean reading times for each image set were compared by means of Fisher's protected least significant difference (PLSD) test. A receiver operator characteristic (ROC) analysis was performed to determine the diagnostic capability of each of the image data sets. Finally, sensitivity, specificity and accuracy of the reconstructed images were compared by McNemar test.
  
  
  RESULTS
  Mean reading times for thin-section sagittal and coronal MPRs were significantly shorter than those for routine CT and thin-section CT (p<0.05). Areas under the curve (Azs) showing interlobar invasion on thin-section sagittal and coronal MPRs were significantly larger than that on routine CT (p=0.03), and the Az on thin-section sagittal MPR was also significantly larger than that on routine CT (p=0.02). Accuracy of chest wall invasion by thin-section sagittal MPR was significantly higher than that by routine CT (p=0.04).
  
  
  CONCLUSIONS
  Thin-section multiplanar reformats from multidetector-row CT data sets are useful for assessing the extent of regional tumors in non-small cell lung cancer patients.
authors.affiliation: Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan.
authors.forename: Takanori
authors.initials: T
authors.lastname: Higashino
authors.forename: Yoshiharu
authors.initials: Y
authors.lastname: Ohno
authors.forename: Daisuke
authors.initials: D
authors.lastname: Takenaka
authors.forename: Hirokazu
authors.initials: H
authors.lastname: Watanabe
authors.forename: Munenobu
authors.initials: M
authors.lastname: Nogami
authors.forename: Chiho
authors.initials: C
authors.lastname: Ohbayashi
authors.forename: Masahiro
authors.initials: M
authors.lastname: Yoshimura
authors.forename: Miyako
authors.initials: M
authors.lastname: Satouchi
authors.forename: Yoshihiro
authors.initials: Y
authors.lastname: Nishimura
authors.forename: Masahiko
authors.initials: M
authors.lastname: Fujii
authors.forename: Kazuro
authors.initials: K
authors.lastname: Sugimura
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002289:Carcinoma, Non-Small-Cell Lung / Q000175:diagnosis*; D003287:Contrast Media / Q000008:administration & dosage; D005260:Female; D006801:Humans; D007479:Iopamidol; D007480:Iopanoic Acid / Q000031:analogs & derivatives; D008168:Lung / Q000000981:diagnostic imaging*; D008175:Lung Neoplasms / Q000175:diagnosis*; D008297:Male; D008867:Microtomy / Q000379:methods*; D008875:Middle Aged; D015588:Observer Variation; D012372:ROC Curve; D011856:Radiographic Image Enhancement / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media; C038955:iopanoate glucuronide; D007480:Iopanoic Acid; D007479:Iopamidol