Evidence map›Paper›PMID 41677831›Full record

ArticlePediatric radiology2026

Contrast enema in Hirschsprung disease: radiological signs and clinical symptoms as predictors in a logistic regression model.

Paulina Vargova, Beatriz Izquierdo-Hernandez, Cristina Gutierrez-Alonso, Diasol Villa-Viñas, Andrea Santinno-Tenorio, Alvaro Mayordomo-Ruiz, Carolina Corona-Bellostas

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Article in Pediatric radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Paulina VargovaMiguel Servet University Hospital, Zaragoza, Spain. pamivarg@gmail.com.
Beatriz Izquierdo-HernandezMiguel Servet University Hospital, Zaragoza, Spain.
Cristina Gutierrez-AlonsoMiguel Servet University Hospital, Zaragoza, Spain.
Diasol Villa-ViñasMiguel Servet University Hospital, Zaragoza, Spain.
Andrea Santinno-TenorioMiguel Servet University Hospital, Zaragoza, Spain.
Alvaro Mayordomo-RuizMiguel Servet University Hospital, Zaragoza, Spain.
Carolina Corona-BellostasMiguel Servet University Hospital, Zaragoza, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContrast enema is a key imaging tool in the evaluation of children with suspected Hirschsprung disease, although the diagnostic accuracy of individual radiologic signs remains debated.

objectiveThis study aimed to evaluate the diagnostic performance of specific radiological signs and clinical symptoms in Hirschsprung disease and to develop a simple predictive model based on logistic regression. MATERIALS AND

methodsWe retrospectively reviewed 247 contrast enemas from 237 children evaluated for suspected Hirschsprung disease, including 59 studies from 49 histologically confirmed cases. Radiologic and clinical variables were analysed to assess the diagnostic accuracy of specific signs using standard performance metrics and receiver operating characteristic (ROC) curve analysis. A multivariable logistic regression model was developed and optimised to identify the minimal combination of predictors yielding the best diagnostic performance for Hirschsprung disease.

resultsChildren with Hirschsprung disease presented with earlier symptom onset and earlier contrast enema evaluation compared with non-Hirschsprung disease patients (both P<0.001). Among radiologic findings, an abnormal rectosigmoid index and a visible transition zone were the strongest predictors of Hirschsprung disease. Clinical features such as abdominal distension, vomiting, and need for rectal irrigations showed significant associations. The final multivariable model demonstrated excellent diagnostic performance (sensitivity 0.83, specificity 0.87, area under the ROC curve (AUC-ROC)=0.85) and was transformed into a simplified clinical score (0-9 points) for practical application.

conclusionSpecific radiological signs, particularly rectosigmoid index and transition zone, retain significant diagnostic value in Hirschsprung disease. When combined with clinical symptoms, they allow development of a simple predictive model that may support clinical decision-making.

Indexed as

Contrast MediaEnemaHirschsprung DiseaseChild, PreschoolFemaleHumansInfantLogistic ModelsMaleReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaContrast mediaHirschsprung diseaseLogistic modelsPaediatricsRadiographic image interpretation

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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.