Evidence map›Paper›PMID 39635135›Full record

ArticleiScience2024

AI-based fingerprint index of visceral adipose tissue for the prediction of bowel damage in patients with Crohn's disease.

Xuehua Li, Cicong Hu, Haipeng Wang, Yuqin Lin, Jiaqiang Li, Enming Cui, Xiaozhao Zhuang, Jianpeng Li, Jiahang Lu, Ruonan Zhang and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Xuehua LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Cicong HuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Haipeng WangMedical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Block A2, Lihu Campus of Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518000, People's Republic of China.
Yuqin LinDepartment of Radiology, The First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou 515000, People's Republic of China.
Jiaqiang LiDepartment of Radiology, The First People's Hospital of Foshan, No.81, Lingnan Dadao north, Foshan 528000, People's Republic of China.
Enming CuiDepartment of Radiology, Jiangmen Central Hospital, Guangdong Medical University, 23 Beijie Haibang Street, Jiangmen 529030, People's Republic of China.
Xiaozhao ZhuangDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), No.19 Xiuhua Road, Xiuying District, Haikou 570311, People's Republic of China.
Jianpeng LiDepartment of Radiology, Affiliated Dongguan People's Hospital, Southern Medical University, No. 78 Wandao Road, Dongguan 523000, People's Republic of China.
Jiahang LuMedical Imaging Department, The First Affiliated Hospital, Kunming Medical University, Xi Chang Road 295th, Kunming 650000, People's Republic of China.
Ruonan ZhangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Yangdi WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Zhenpeng PengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Canhui SunDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Ziping LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Minhu ChenDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Li ShiDepartment of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou 510150, People's Republic of China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Bingsheng HuangMedical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Block A2, Lihu Campus of Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518000, People's Republic of China.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fingerprint features of visceral adipose tissue (VAT) are intricately linked to bowel damage (BD) in patients with Crohn's disease (CD). We aimed to develop a VAT fingerprint index (VAT-FI) using radiomics and deep learning features extracted from computed tomography (CT) images of 1,135 CD patients across six hospitals (training cohort,

Indexed as

Artificial IntelligenceHealth sciences

Identifiers

PMID39635135
PMCPMC11615179

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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.