Evidence map›Paper›PMID 40636069›Full record

ArticleInternational journal of critical illness and injury science

Early perfusion computed tomography in severe acute pancreatitis: Predicting necrosis and guiding care.

Ritika Agarwal, Mukesh Kumar Agarwal, Ujjwal Gupta, Amit Gupta

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Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ritika AgarwalDepartment of Radiology, Chandra Laxmi Hospital, Ghaziabad, Uttar Pradesh, India.
Mukesh Kumar AgarwalDepartment of General Surgery, Chandra Laxmi Hospital, Ghaziabad, Uttar Pradesh, India.
Ujjwal GuptaDepartment of Radiology, Chandra Laxmi Hospital, Ghaziabad, Uttar Pradesh, India.
Amit GuptaDepartment of Medicine, Chandra Laxmi Hospital, Ghaziabad, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early identification of pancreatic necrosis in severe acute pancreatitis (SAP) is essential for timely intervention and improved outcomes. While prior studies have established the diagnostic value of perfusion computed tomography (PCT), they often lacked early follow-up and clinical integration. This study aims to evaluate PCT not only as a predictive tool for early necrosis but also as a clinically actionable modality for risk stratification and management planning. Methods: A prospective cross-sectional study was conducted on 50 SAP patients who underwent PCT within 72 h of symptom onset. PCT was performed to assess pancreatic blood flow (PBF), pancreatic blood volume (PBV), mean transit time, and time to peak. Follow-up contrast-enhanced CT was performed at 2 weeks to confirm necrosis. Perfusion parameters were compared between necrosis and non-necrosis groups. Diagnostic performance metrics (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) were calculated. Results: Perfusion defects were identified in 21 patients, with 18 (85.7%) subsequently confirmed to have necrosis. The necrosis group had significantly lower PBF (35.49 ± 21.62 mL/100 mL/min) and PBV (11.16 ± 4.84 mL/100 mL) than the non-necrosis group (125.72 ± 50.37 and 17.67 ± 3.80, respectively, Conclusion: PCT provides high diagnostic accuracy and valuable prognostic insight in SAP, allowing for early necrosis detection and patient stratification. Its integration into early assessment may improve outcomes and resource utilization.

Indexed as

Acute necrotizing pancreatitispancreatic ischemiapancreatic necrosisperfusion computed tomographysevere acute pancreatitis

Identifiers

PMID40636069
PMCPMC12236397

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