title: Prognostic value of perfusion-weighted magnetic resonance imaging in acute intracerebral hemorrhage.
abstract: OBJECTIVE
  This study intends to investigate the prognostic value of perfusion-weighted magnetic resonance imaging in acute intracerebral hemorrhage.
  
  
  METHODS
  Demographic, clinical and biochemical data between acute intracerebral hemorrhage (AICH) and healthy volunteer groups were assessed in this study, such as rCBV and MTT values. The optimal cutoff values of rCBV and MTT for diagnosing AICH were determined by the ROC curves. Apart from that, we also investigated the association between rCBV/MTT values and cerebral hematoma volumes of AICH patients. The unconditional logistic regression was conducted to determine significant risk factors for AICH.
  
  
  RESULTS
  AICH patients have significantly lower rCBV and higher MTT compared to the control group (all P < 0.05). As suggested by the relatively high sensitivity and specificity, both rCBV and MTT values could be utilized for AICH diagnosis. Moreover, rCBV and MTT were significantly associated with the cerebral hematoma volumes of AICH patients (all P < 0.05). Results from unconditional logistic regression analysis revealed that MTT was a significant risk factor for AICH (P < 0.05 and OR > 1), while rCBV is considered as a protective factor (P < 0.05 and OR < 1).
  
  
  CONCLUSIONS
  Perfusion-weighted magnetic resonance imaging produces a high prognostic value for diagnosing AICH.
authors.affiliation: a Department of Radiology , Affiliated Hospital of Jining Medical University , Jining , China.
authors.forename: Xibin
authors.initials: X
authors.lastname: Hu
authors.affiliation: a Department of Radiology , Affiliated Hospital of Jining Medical University , Jining , China.
authors.forename: Xueqin
authors.initials: X
authors.lastname: Bai
authors.affiliation: a Department of Radiology , Affiliated Hospital of Jining Medical University , Jining , China.
authors.forename: Ning
authors.initials: N
authors.lastname: Zai
authors.affiliation: a Department of Radiology , Affiliated Hospital of Jining Medical University , Jining , China.
authors.forename: Xinhai
authors.initials: X
authors.lastname: Sun
authors.affiliation: a Department of Radiology , Affiliated Hospital of Jining Medical University , Jining , China.
authors.forename: Laimin
authors.initials: L
authors.lastname: Zhu
authors.affiliation: b Department of Medical Imaging , Jining Medical University , Jining , China.
authors.forename: Xian
authors.initials: X
authors.lastname: Li
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002543:Cerebral Hemorrhage / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016015:Logistic Models; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012307:Risk Factors; D012720:Severity of Illness Index; D015898:Tomography Scanners, X-Ray Computed
keywords: Acute intracerebral hemorrhage; Mean transit time; Perfusion-weighted image; Prognostic value; Regional cerebral blood flow