title: Dynamic MR perfusion imaging: capability for quantitative assessment of disease extent and prediction of outcome for patients with acute pulmonary thromboembolism.
abstract: OBJECTIVE
  To compare directly the capabilities of multidetector-row computed tomography (MDCT) and MRI for disease severity assessment and outcome prediction for acute pulmonary thromboembolism (APTE) patients.
  
  
  METHODS
  Fifty consecutive APTE patients underwent MDCT, MR angiography, dynamic perfusion MRI, treatment and follow-up examination. Pulmonary blood flow (PBF), pulmonary blood volume, and mean transit time maps were generated from perfusion MRI, and all segmental parameters were determined by using region of interest measurements. Receiver operator curve analyses were used to determine the most accurate parameter for diagnosis of the APTE segment. Then, APTE index from perfusion MRI (PE(perfusion MRI) index), right ventricle/left ventricle (RV/LV) diameter ratio and APTE indexes from embolic burdens observed on MDCT (PE(CT) index) and MR angiography (PE(MRA) index) were calculated. Finally, ability to differentiate mortality (n = 8) from survival (n = 42) groups and to predict patient outcome were statistically assessed.
  
  
  RESULTS
  PBF was a significantly more accurate parameter than others (P < 0.05). When feasible threshold value was applied, specificity and accuracy of RV/LV diameter ratio and PE(Perfusion MRI) index were significantly higher than those of PE(CT) and PE(MRA) indexes (P < 0.05). Logistic regression analysis demonstrated that each index was a significant predictor (P < 0.05).
  
  
  CONCLUSIONS
  Dynamic perfusion MRI can be effective for disease extent assessment and outcome prediction for APTE patients.
authors.affiliation: Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan. yosirad@kobe-u.ac.jp
authors.forename: Yoshiharu
authors.initials: Y
authors.lastname: Ohno
authors.forename: Hisanobu
authors.initials: H
authors.lastname: Koyama
authors.forename: Keiko
authors.initials: K
authors.lastname: Matsumoto
authors.forename: Yumiko
authors.initials: Y
authors.lastname: Onishi
authors.forename: Munenobu
authors.initials: M
authors.lastname: Nogami
authors.forename: Daisuke
authors.initials: D
authors.lastname: Takenaka
authors.forename: Takeshi
authors.initials: T
authors.lastname: Yoshikawa
authors.forename: Sumiaki
authors.initials: S
authors.lastname: Matsumoto
authors.forename: Kazuro
authors.initials: K
authors.lastname: Sugimura
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D055420:Perfusion Imaging / Q000379:methods*; D011655:Pulmonary Embolism / Q000175:diagnosis* / Q000628:therapy*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed / Q000379:methods*; D016896:Treatment Outcome; D055815:Young Adult