title: Reperfusion in non-occlusive mesenteric ischaemia (NOMI): effectiveness of CT in an emergency setting.
abstract: OBJECTIVE
  To investigate the CT features of reperfusion (presence/absence) in non-occlusive mesenteric ischaemia (NOMI) and their prognostic value in an emergency setting.
  
  
  METHODS
  A revision was undertaken of imaging from 20 patients (16 males/4 females) with a dismissal summary of NOMI. All patients had previously undergone a minimum of one multidetector CT examination, and consequently underwent surgery (n = 8), autopsy (n = 2), angiography (n = 1) or endoscopy (n = 9). An evaluation of the CT scans was conducted to determine vessels, mesentery, bowel and peritoneal cavity features. The superior mesenteric artery (SMA) average diameter of NOMI cases were compared with 30 controlled cases. Kappa, Kolmogorov-Smirnov (K-S) and Fisher's exact tests were used for statistical analysis.
  
  
  RESULTS
  A mean SMA diameter significantly smaller than that of the controlled cases was found for patients with NOMI (K-S test: D = 0.75, p = 3.7 × 10-08). Fisher's exact tests showed a strong connection between the presence of reperfusion and mesenteric fat stranding (p = 0.026), bowel wall thickening (p = 3.2 × 10-05) and a high attenuation of the bowel wall on unenhanced CT images (p = 2.8 × 10-04). A reduction in mortality was significantly linked to the combination of normal mesenteric vessels and wall thickening (p = 0.034).
  
  
  CONCLUSIONS
  Analysis of not only vessels findings but also mesentery and bowel CT features will support the identification of NOMI with or without a reperfusion event in an emergency setting. A strong correlation between some CT features and lower mortality exists.
  
  
  CONCLUSIONS
  CT features of NOMI with or without reperfusion are demonstrated. Correctly assessing the presence of reperfusion in NOMI, may allow better management of these conditions in the emergency setting.
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Maria A
authors: MA
authors: Mazzei
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Susanna
authors: S
authors: Guerrini
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Nevada
authors: N
authors: Cioffi Squitieri
authors: 2 Division of Pathological Anatomy, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Carla
authors: C
authors: Vindigni
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Giusi
authors: G
authors: Imbriaco
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Francesco
authors: F
authors: Gentili
authors: 3 Department of Diagnostic Imaging, Casa di Cura Villa dei Fiori Srl, Acerra, Napoli, Italy.
authors: Daniela
authors: D
authors: Berritto
authors: 4 Department of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Francesco G
authors: FG
authors: Mazzei
authors: 5 Department of Radiology, Second University of Naples, Naples, Italy.
authors: Roberto
authors: R
authors: Grassi
authors: 1 Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
authors: Luca
authors: L
authors: Volterrani
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D004636:Emergency Service, Hospital; D005260:Female; D006801:Humans; D008297:Male; D017538:Mesenteric Artery, Superior / Q000000981:diagnostic imaging*; D065666:Mesenteric Ischemia / Q000000981:diagnostic imaging*; D008875:Middle Aged; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed