title: Prediction of early response to chemotherapy in lung cancer by using diffusion-weighted MR imaging.
abstract: OBJECTIVE
  To determine whether change of apparent diffusion coefficient (ADC) value could predict early response to chemotherapy in lung cancer.
  
  
  METHODS
  Twenty-five patients with advanced non-small cell lung cancer underwent chest MR imaging including DWI before and at the end of the first cycle of chemotherapy. The tumor's mean ADC value and diameters on MR images were calculated and compared. The grouping reference was based on serial CT scans according to Response Evaluation Criteria in Solid Tumors. Logistic regression was applied to assess treatment response prediction ability of ADC value and diameters.
  
  
  RESULTS
  The change of ADC value in partial response group was higher than that in stable disease group (P = 0.004). ROC curve showed that ADC value could predict treatment response with 100% sensitivity, 64.71% specificity, 57.14% positive predictive value, 100% negative predictive value, and 82.7% accuracy. The area under the curve for combination of ADC value and longest diameter change was higher than any parameter alone (P ≤ 0.01).
  
  
  CONCLUSIONS
  The change of ADC value may be a sensitive indicator to predict early response to chemotherapy in lung cancer. Prediction ability could be improved by combining the change of ADC value and longest diameter.
authors.affiliation: Department of Radiology, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin 300052, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Yu
authors.affiliation: Department of Radiology, Affiliated Hospital of Xuzhou Medical College, No. 99, Huaihaixilu, Quanshan District, Xuzhou 221002, China.
authors.forename: Weidong
authors.initials: W
authors.lastname: Li
authors.affiliation: Department of Radiology, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin 300052, China.
authors.forename: Zhang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Radiology, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin 300052, China.
authors.forename: Tielian
authors.initials: T
authors.lastname: Yu
authors.affiliation: Department of Radiology, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin 300052, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000970:Antineoplastic Agents / Q000627:therapeutic use*; D002289:Carcinoma, Non-Small-Cell Lung / Q000188:drug therapy* / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D055088:Early Detection of Cancer / Q000379:methods; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008175:Lung Neoplasms / Q000188:drug therapy* / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D000970:Antineoplastic Agents