Evidence map›Paper›PMID 38600228›Full record

ArticleAbdominal radiology (New York)2024

Prediction of pathological activity in Crohn's disease based on dual-energy CT enterography.

Hai-Fei Zhou, Wei Chen, Jing-Qi Li, Gen-Ji Bai, Li-Li Guo

Abstract read
In one paragraph

Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hai-Fei ZhouDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, 1# Huanghe West Road, Huaiyin District, Huai'an, 223300, Jiangsu Province, China.
Wei ChenDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, 1# Huanghe West Road, Huaiyin District, Huai'an, 223300, Jiangsu Province, China.
Jing-Qi LiDepartment of Pathology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, 1# Huanghe West Road, Huaiyin District, Huai'an, 223300, Jiangsu Province, China.
Gen-Ji BaiDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, 1# Huanghe West Road, Huaiyin District, Huai'an, 223300, Jiangsu Province, China.
Li-Li GuoDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, 1# Huanghe West Road, Huaiyin District, Huai'an, 223300, Jiangsu Province, China. guolili163@163.com.ORCID 0000-0002-4034-6968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the feasibility of predicting the pathological activity of Crohn's disease (CD) based on dual-energy CT enterography (DECTE).

methodsThe clinical, endoscopic, imaging and pathological data of 55 patients with CD scanned by DECTE were retrospectively analyzed; the pathological results were used as a reference standard to classify the diseased bowel segments into active and inactive phases. The normalized iodine concentration (NIC), energy-spectrum curve slope K, dual energy index (DEI), fat fraction (FF) of the arterial phases and venous phases were compared. To assess the parameters' predictive ability, receiver-operating characteristic curves were used. The Delong test was used to compare the differences between the diagnostic efficiency of each parameter.

resultsA total of 84 intestinal segments were included in the study, including 54 active intestinal segments and 30 inactive intestinal segments. The NIC, energy-spectrum curve slope K and DEI were significantly different between active and inactive bowel segments in the arterial and venous phases (P < 0.05), while FF were not significantly different (P > 0.05). The largest area under the curve (AUC) of NIC, energy-spectrum curve slope K and DEI were higher in arterial phase than in venous phase. For identifying the intestinal activity of CD, the maximum AUC of NIC in arterial phase was 0.908, with a sensitivity of 0.833 and a specificity of 0.800, and the DEI in arterial phase had the highest sensitivity (0.944).

conclusionThe NIC, energy-spectrum curve slope K and DEI can effectively distinguish the active and inactive phases of the intestinal segments of CD patients and provide good assistance for determining further treatment.

Indexed as

Contrast MediaCrohn DiseaseRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAdolescentAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesContrast MediaCrohn’s diseaseCT enterographyDual-energyPathological activity

Identifiers

PMID38600228
PMCPMC11213773

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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.