Evidence map›Paper›PMID 38343267›Full record

ArticleJournal of imaging informatics in medicine2024

Evaluation of Mucosal Healing in Crohn's Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT.

Chao Zhu, Chang Rong, Jian Song, Xiaomin Zheng, Qi Wu, Jing Hu, Jianying Li, Xingwang Wu

Open access · greenAbstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Chao ZhuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
Chang RongDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
Jian SongDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
Xiaomin ZhengDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
Qi WuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
Jing HuDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.
Jianying LiCT Research Center, GE Healthcare China, Shanghai, 210000, People's Republic of China.
Xingwang WuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China. duobi2004@126.com.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNUnited Imaging Healthcare (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the effectiveness of radiomics signatures obtained from dual-energy computed tomography enterography (DECTE) in the evaluation of mucosal healing (MH) in patients diagnosed with Crohn's disease (CD). In this study, 106 CD patients with a total of 221 diseased intestinal segments (79 with MH and 142 non-MH) from two medical centers were included and randomly divided into training and testing cohorts at a ratio of 7:3. Radiomics features were extracted from the enteric phase iodine maps and 40-kev and 70-kev virtual monoenergetic images (VMIs) of the diseased intestinal segments, as well as from mesenteric fat. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) logistic regression. Radiomics models were subsequently established, and the accuracy of these models in identifying MH in CD was assessed by calculating the area under the receiver operating characteristic curve (AUC). The combined-iodine model formulated by integrating the intestinal and mesenteric fat radiomics features of iodine maps exhibited the most favorable performance in evaluating MH, with AUCs of 0.989 (95% confidence interval (CI) 0.977-1.000) in the training cohort and 0.947 (95% CI 0.884-1.000) in the testing cohort. Patients categorized as high risk by the combined-iodine model displayed a greater probability of experiencing disease progression when contrasted with low-risk patients. The combined-iodine radiomics model, which is built upon iodine maps of diseased intestinal segments and mesenteric fat, has demonstrated promising performance in evaluating MH in CD patients.

Indexed as

Adipose TissueCrohn DiseaseIntestinal MucosaTomography, X-Ray ComputedAdultFemaleHumansMaleMesenteryMiddle AgedRadiomicsWound HealingYoung AdultColonoscopyComputed tomographyCrohn’s diseaseRadiomicsX-ray

Identifiers

PMID38343267
PMCPMC11031530
OpenAlexW4391426533

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.