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ArticleDigestive diseases and sciences2026

Esophagogastroduodenoscopy Versus Thoracic Computed Tomography in Prediction of Caustic Stricture.

Thanyaporn Suksumek, Piyapong Boonyasatid, Chompoonut Achavanuntakul, Karikarn Auksornchart, Wichet Piyawong, Wirana Angthong, Prasit Mahawongkajit, Amonpon Kanlerd

Abstract readComparative Study
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Article in Digestive diseases and sciences, 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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5 · Who and what money

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8 authors.

Thanyaporn SuksumekThammasat University Hospital, Pathumthani, Thailand.
Piyapong BoonyasatidDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Chompoonut AchavanuntakulDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Karikarn AuksornchartDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Wichet PiyawongDepartment of Radiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Wirana AngthongDepartment of Radiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Prasit MahawongkajitDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Amonpon KanlerdDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand. amonponk@hotmail.com.ORCID http://orcid.org/0000-0002-1281-1906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper gastrointestinal tract stricture is the most common delayed complication following corrosive ingestion. Previous data showed that endoscopic examination can predict delayed caustic stricture. Currently, thoracic computed tomography (CT) is increasingly used in the initial phase for grading the severity of caustic injury. However, the ability to predict delayed caustic stricture by computed tomography remains unclear.

aimsTo compare the caustic stricture prediction between CT and EGD.

methodsA prospective study was conducted in the Thammasat University Hospital, Thailand. Adult caustic injury patients (age > 18 years) who were admitted within 24 h after corrosive ingestion were enrolled. All patients underwent CT and EGD within 48 h after the injury. The severity grading of both studies was collected and compared with the upper gastrointestinal barium study at 3 weeks post-injury, which was used for diagnosing caustic stricture. Patients were followed up until 6 months after injury. Receiver-operating characteristic values were constructed to evaluate the predictability of CT and EGD in diagnosing upper gastrointestinal tract strictures.

resultsTwenty-three patients were enrolled between 1 September 2022 and 30 April 2023. Upper gastrointestinal tract stricture was detected in 5 of 12 patients (41%) who completed the follow-up period. The median time from injury to CT scan was 5 h, compared to 18 h for EGD. CT severity grading score of ≥ IIb resulted in 80% sensitivity and 86% specificity. Meanwhile, EGD with a Zagar severity classification of ≥ 2B resulted in 80% sensitivity and 71% specificity to predict stricture. The area under the receiver operating characteristic (AUROC) curve for CT in predicting caustic stricture was similar to that of EGD (0.97 vs. 0.91, p = 0.55).

conclusionsThe AUROC of CT and EGD was comparable. However, CT has a shorter timeframe, minimizes complications, avoids unnecessary surgery, and is more accessible. Therefore, CT can be considered an alternative method for predicting stricture in corrosive ingestion.

Indexed as

Burns, ChemicalCausticsEndoscopy, Digestive SystemEsophageal StenosisTomography, X-Ray ComputedAdultFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesSeverity of Illness IndexYoung AdultCausticsCaustic injuryCaustic strictureCorrosive ingestionEsophagogastroduodenoscopyPredictionThoracic computed tomography

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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.