title: The advantage of PET and CT integration in examination of lung tumors.
abstract: OBJECTIVE
  To evaluate the diagnosis value of integrated positron emission tomography and computed tomography (PET/CT) with lung masses, this study emphasized the correlation between tumor size and maximum standardized uptake value (SUVmax) in selected regions of interest (ROI) of lung masses.
  
  
  METHODS
  A retrospective analysis was performed on 85 patients with solid pulmonary lesions, all verified by pathology. The morphology, edge (speculated margins and lobule), size, density of pulmonary masses, and on-chest CT images were reviewed. The SUVmax in ROI of pulmonary masses was calculated.
  
  
  RESULTS
  Among the 85 patients with lung masses, 59 patients presented with pulmonary malignant neoplasm and 26 patients with benign lesions. The sensitivity, specificity, and accuracy were 89.8%, 61.5%, 81.2%, respectively, for PET measurement only, 88.1%, 65.4%, 81.2% for CT only, and 96.6%, 80.8%, 91.8% for PET/CT. The size of pulmonary malignant neoplasm in the 59 patients was apparently correlated with the ROI's SUVmax (r=0.617, P<.001). However, the size of pulmonary benign mass in the 26 patients was not correlated with the SUVmax.
  
  
  CONCLUSIONS
  PET/CT is of greater value in characterization of lung masses than PET and CT performed separately. The examination of lung tumor can be further specified by the correlation between the size of pulmonary malignant neoplasm and the ROI's SUVmax.
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing 210002, China.
authors.forename: Guangming
authors.initials: G
authors.lastname: Lu
authors.forename: Zhongqiu
authors.initials: Z
authors.lastname: Wang
authors.forename: Hong
authors.initials: H
authors.lastname: Zhu
authors.forename: Linfeng
authors.initials: L
authors.lastname: Chang
authors.forename: Yingxin
authors.initials: Y
authors.lastname: Chen
authors.forename: Jiang
authors.initials: J
authors.lastname: Wu
authors.forename: Yane
authors.initials: Y
authors.lastname: Zhao