Literature DB >> 25173791

Perfusion CT: can it predict the development of pancreatic necrosis in early stage of severe acute pancreatitis?

Ajay Kumar Yadav1, Raju Sharma, Devasenathipathy Kandasamy, Ashu Seith Bhalla, Shivanand Gamanagatti, Deep N Srivastava, Ashish Datt Upadhyay, Pramod Kumar Garg.   

Abstract

PURPOSE: Pancreatic necrosis is an important determinant of patient outcome in severe acute pancreatitis (SAP). This prospective study was conducted to evaluate if perfusion CT (PCT) can predict the development of necrosis at an early stage in SAP.
METHODS: PCT was performed within 72 h of abdominal pain in 57 consecutive admitted patients of acute pancreatitis, out of which four patients were excluded. Thirty-two patients were classified as SAP and 21 as mild acute pancreatitis (MAP) on the basis of APACHE II or SIRS criteria or presence of organ failure. All patients underwent a follow-up CECT at 3 weeks to look for pancreatic necrosis.
RESULTS: Out of 32 patients of SAP, 14 patients showed perfusion defects. The mean blood flow (BF) in these areas was 11.47 ± 5.56 mL/100 mL/min and median blood volume (BV) was 3.92 mL/100 mL (0.5-8.49 mL/100 mL). All these patients developed necrosis on follow-up scan. Two patients who did not show perfusion defects also developed necrosis. Remaining 37 patients (16 SAP and 21 MAP) did not show perfusion defect and did not develop necrosis on follow-up. All regions showing BF less than ≤23.45 mL/100 mL/min and BV ≤8.49 mL/100 mL developed pancreatic necrosis. The values of perfusion parameters may vary with the scanner, mathematical model and protocol used. The sensitivity and specificity of PCT for predicting pancreatic necrosis were 87.5% and 100%, respectively. The cut off values of BF and BV for predicting the development of pancreatic necrosis were 27.29 mL/100 mL/min and 8.96 mL/100 mL, respectively, based on ROC curve. PCT is a reliable tool for early prediction of pancreatic necrosis, which may open new avenues to prevent this ominous complication.

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Year:  2015        PMID: 25173791     DOI: 10.1007/s00261-014-0226-6

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  9 in total

1.  Early diagnosis of pancreatic necrosis based on perfusion CT to predict the severity of acute pancreatitis.

Authors:  Yoshihisa Tsuji; Naoki Takahashi; Hiroyoshi Isoda; Koji Koizumi; Sho Koyasu; Miho Sekimoto; Yuichi Imanaka; Shujiro Yazumi; Masanori Asada; Yoshihiro Nishikawa; Hiroshi Yamamoto; Osamu Kikuchi; Tsukasa Yoshida; Tetsuro Inokuma; Shinji Katsushima; Naoki Esaka; Akihiro Okano; Chiharu Kawanami; Nobuyuki Kakiuchi; Masahiro Shiokawa; Yuzo Kodama; Ichiro Moriyama; Takafumi Kajitani; Yoshikazu Kinoshita; Tsutomu Chiba
Journal:  J Gastroenterol       Date:  2017-04-03       Impact factor: 7.527

Review 2.  Defining post-operative pancreatitis as a new pancreatic specific complication following pancreatic resection.

Authors:  Saxon Connor
Journal:  HPB (Oxford)       Date:  2016-06-20       Impact factor: 3.647

3.  Acute Pancreatitis-Progress and Challenges: A Report on an International Symposium.

Authors:  Elham Afghani; Stephen J Pandol; Tooru Shimosegawa; Robert Sutton; Bechien U Wu; Santhi Swaroop Vege; Fred Gorelick; Morihisa Hirota; John Windsor; Simon K Lo; Martin L Freeman; Markus M Lerch; Yoshihisa Tsuji; Gil Y Melmed; Wahid Wassef; Julia Mayerle
Journal:  Pancreas       Date:  2015-11       Impact factor: 3.327

4.  Accuracy of early CT findings for predicting disease course in patients with acute pancreatitis.

Authors:  Onur Taydas; Emre Unal; Ali Devrim Karaosmanoglu; Mehmet Ruhi Onur; Erhan Akpinar
Journal:  Jpn J Radiol       Date:  2017-11-21       Impact factor: 2.374

5.  Revised Atlanta classification for CT pancreatic and peripancreatic collections in the first month of acute pancreatitis: interobserver agreement.

Authors:  Neesmah Badat; Ingrid Millet; Lucie Corno; Wassef Khaled; Isabelle Boulay-Coletta; Marc Zins
Journal:  Eur Radiol       Date:  2019-01-10       Impact factor: 5.315

Review 6.  Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice.

Authors:  Pedro Silva-Vaz; Ana Margarida Abrantes; Miguel Castelo-Branco; António Gouveia; Maria Filomena Botelho; José Guilherme Tralhão
Journal:  Int J Mol Sci       Date:  2020-01-04       Impact factor: 5.923

7.  Perfusion-CT--Can We Predict Acute Pancreatitis Outcome within the First 24 Hours from the Onset of Symptoms?

Authors:  Joanna Pieńkowska; Katarzyna Gwoździewicz; Katarzyna Skrobisz-Balandowska; Iwona Marek; Justyna Kostro; Edyta Szurowska; Michał Studniarek
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

8.  Can Disturbed Liver Perfusion Revealed in p-CT on the First Day of Acute Pancreatitis Provide Information about the Expected Severity of the Disease?

Authors:  Joanna Pieńkowska; Katarzyna Gwoździewicz; Katarzyna Skrobisz; Monika Czarnowska-Cubała; Oliwia Kozak; Stanisław Hać; Michał Studniarek; Edyta Szurowska
Journal:  Gastroenterol Res Pract       Date:  2019-08-14       Impact factor: 2.260

9.  Predictive factors for the mortality of acute pancreatitis on admission.

Authors:  Naruomi Jinno; Yasuki Hori; Itaru Naitoh; Katsuyuki Miyabe; Michihiro Yoshida; Makoto Natsume; Akihisa Kato; Go Asano; Hitoshi Sano; Kazuki Hayashi
Journal:  PLoS One       Date:  2019-08-22       Impact factor: 3.240

  9 in total

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