Evidence map›Paper›PMID 40632165›Full record

Observational studyAbdominal radiology (New York)2026

Correlation between intestinal ultrasound and fecal calprotectin with endoscopic severity scores for determining the activity in patients with Crohn's disease.

Shishirendu Parihar, Dawesh Prakash Yadav, Ashish Verma, Sunit Kumar Shukla, Anurag Kumar Tiwari, Vinod Kumar, Karan Kukreja, Akash Shah, Ishan Mittal, Nitesh Bassi

Abstract readObservational Study
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In one paragraph

Observational study in Abdominal radiology (New York), 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Shishirendu PariharBanaras Hindu University, Varanasi, India.
Dawesh Prakash YadavBanaras Hindu University, Varanasi, India. devesh.thedoc@gmail.com.
Ashish VermaBanaras Hindu University, Varanasi, India.
Sunit Kumar ShuklaBanaras Hindu University, Varanasi, India.
Anurag Kumar TiwariBanaras Hindu University, Varanasi, India.
Vinod KumarBanaras Hindu University, Varanasi, India.
Karan KukrejaBanaras Hindu University, Varanasi, India.
Akash ShahBanaras Hindu University, Varanasi, India.
Ishan MittalBanaras Hindu University, Varanasi, India.
Nitesh BassiBanaras Hindu University, Varanasi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrohn's disease (CD) is a chronic inflammatory bowel disease characterized by relapsing and remitting inflammation of the gastrointestinal tract. Reliable and non-invasive methods to assess disease activity are crucial for guiding treatment and improving patient outcomes. This study investigates how intestinal ultrasound (IUS) parameters and fecal calprotectin (FC) levels correlate with endoscopic severity scores in Crohn's disease (CD). AIM AND 

objectiveTo assess the effectiveness of IUS as a complementary tool to conventional methods in predicting disease severity in CD by correlating IUS parameters, specifically bowel wall thickness (BWT) and color Doppler flow (CDF), with FC levels and Simple Endoscopic Score for Crohn's Disease (SES-CD). MATERIALS AND

methodsA cross-sectional observational study was conducted on 45 patients with confirmed CD at the Department of Gastroenterology. Clinical data, FC levels, SES-CD scores, and IUS measurements were collected and analyzed. The correlation between BWT, FC, and SES-CD scores was assessed using Pearson correlation, and the sensitivity and specificity of combined IUS and FC parameters were calculated.

resultsThe study found significant correlations between higher CDF scores and increased FC levels in the ileum (P = 0.002) and ascending colon (P < 0.001). BWT showed a significant positive correlation with SES-CD in the descending colon (r = 0.440, P = 0.003) and rectosigmoid (r = 0.366, P = 0.014). The combination of BWT > 3 mm and FC > 250 µg/g demonstrated high sensitivity and specificity, particularly in the ileum (sensitivity 88.6%, specificity 78.9%) and descending colon (sensitivity 80.9%, specificity 87.7%).

conclusionCombining IUS parameters, particularly BWT and CDF, with FC levels provides a robust method for predicting disease severity in CD. This approach can enhance disease monitoring, reduce reliance on invasive procedures, and improve patient management in clinical practice.

Indexed as

Crohn DiseaseFecesLeukocyte L1 Antigen ComplexAdultBiomarkersCross-Sectional StudiesEndoscopy, GastrointestinalFemaleHumansIntestinesMaleMiddle AgedSensitivity and SpecificitySeverity of Illness IndexUltrasonographyBiomarkersLeukocyte L1 Antigen ComplexBowel wall thicknessColor doppler flowCrohn’s diseaseDisease activityFecal calprotectinIntestinal ultrasoundSimple endoscopic score

Identifiers

PMID40632165

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.