Evidence map›Paper›PMID 40471255›Full record

ArticleAbdominal radiology (New York)2025

Double low-dose abdominopelvic CT for acute appendicitis: early exploratory analysis on image quality and diagnostic performance.

Hyo Joon Kim, Bohyun Kim, Hyo Jin Bang, Jee Yong Lim, Seohyun Choi, Soon Nam Oh

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Article in Abdominal radiology (New York), 2025. 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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1citing papers in PubMed
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1 · What the graph read from it

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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

6 authors.

Hyo Joon KimDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Bohyun KimDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea. kbh@catholic.ac.kr.
Hyo Jin BangDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Jee Yong LimDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Seohyun ChoiDeparment of Medicine, College of Medicine, Gachon University, Incheon, South Korea.
Soon Nam OhDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the feasibility of a standardized double low-dose CT (DLCT) protocol that simultaneously reduces both iodine contrast media (CM) dose and tube voltage, and to compare its image quality and diagnostic performance with a single low-dose CT (SLCT) protocol using fixed iodine dose and reduced tube voltage, representative of institutional low-radiation dose imaging practice in suspected acute appendicitis.

methodsIn this exploratory analysis of a prospective single-arm study, 49 participants aged 18-44 years presenting to the emergency department (ED) with suspected acute appendicitis underwent DLCT using automated kVp selection and a kVp- and weight-adjusted CM dosing protocol. This protocol targeted a 10% iodine dose reduction for every 10 kVp decrease from a reference standard of 0.521 g I/kg at 120 kVp. A historical control group of 53 patients with the same inclusion criteria, who had undergone SLCT using a fixed CM dose and low-kVp protocol (80-100 kVp) prior to study initiation, was retrospectively included. Quantitative (signal-to-noise ratio [SNR] and contrast-to-noise ratio [CNR]) and qualitative (subjective image quality and appendiceal visibility) assessments were compared. Diagnostic performance was evaluated using positive predictive value (PPV) for acute appendicitis and alternative diagnoses, based on surgical findings, clinical follow-up, or an Alvarado score ≥ 7.

resultsDLCT significantly reduced iodine dose (0.383 ± 0.049 g I/kg vs. 0.589 ± 0.085 g I/kg; P < 0.001) while maintaining comparable image noise and appendiceal visibility. Although SNR and CNR were lower in the DLCT group, diagnostic performance including PPVs for acute appendicitis (63.6% vs. 72.7%) and alternative diagnoses (100% vs. 86.7%) did not significantly differ between groups.

conclusionAn iodine dose-reducing DLCT protocol tailored to tube voltage and body weight is feasible in the ED setting and offers substantial CM dose saving without compromising diagnostic performance for acute appendicitis or alternative diagnoses.

Indexed as

AppendicitisRadiography, AbdominalTomography, X-Ray ComputedAcute DiseaseAdolescentAdultContrast MediaFeasibility StudiesFemaleHumansMaleProspective StudiesRadiation DosageRetrospective StudiesYoung AdultContrast MediaAppendicitisComputed tomographyContrast mediaIodineRadiation dosage

Identifiers

PMID40471255

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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.