Evidence map›Paper›PMID 39707515›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study.

Zhenhui Xie, Qingwei Zhang, Ranying Zhang, Yuxuan Zhao, Wang Zhang, Yang Song, Dexin Yu, Jiang Lin, Xiaobo Li, Shiteng Suo and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Zhenhui Xie *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Pujian Road 160, Pudong District, 200127, Shanghai, China.
Qingwei Zhang *Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Pujian Road 160, Pudong District, 200127, Shanghai, China.
Ranying Zhang *Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Institute of Medical Imaging, 108 Fenglin Road, 200032, Shanghai, China.
Yuxuan Zhao *Department of Radiology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, 250012, Jinan, Shandong, China.
Wang ZhangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Pujian Road 160, Pudong District, 200127, Shanghai, China.
Yang SongMR Research Collaboration Team, Siemens Healthineers Ltd., 399 Haiyang West Road, 200126, Shanghai, China.
Dexin YuDepartment of Radiology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, 250012, Jinan, Shandong, China. yudexin0330@sina.com.
Jiang LinDepartment of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Institute of Medical Imaging, 108 Fenglin Road, 200032, Shanghai, China. lin.jiang@zs-hospital.sh.cn.
Xiaobo LiDivision of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Pujian Road 160, Pudong District, 200127, Shanghai, China. lxb_1969@163.com.
Shiteng SuoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Pujian Road 160, Pudong District, 200127, Shanghai, China. shtsuo@gmail.com.
Yan ZhouDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Pujian Road 160, Pudong District, 200127, Shanghai, China. clare1475@hotmail.com.

Funding

National Natural Science Foundation of China 82171885Renji Hospital Crosswise Project RJKY22-001Shanghai Leading Talent Program 2022LJ023Shanghai Science and Technology Committee Project (Explorer Project Funding) 21TS1400700Technology Standardized Management and Promotion Projects of Shanghai ShenKang Hospital Development Center SHDC22023202
6 · The paper itself

Abstract

backgroundGastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. Recent advent of tyrosine kinase inhibitors (TKIs) has significantly improved the prognosis of GIST patients. However, responses to TKI therapy can vary depending on the specific gene mutation. D842V, which is the most common mutation in platelet-derived growth factor receptor alpha exon 18, shows no response to imatinib and sunitinib. Radiomics features based on venous-phase contrast-enhanced computed tomography (CECT) have shown potential in non-invasive prediction of GIST genotypes. This study sought to determine whether radiomics features could help distinguish GISTs with D842V mutations.

methodsA total of 872 pathologically confirmed GIST patients with CECT data available from three independent centers were included and divided into the training cohort (

resultsThe combined model showed better average precision (0.250 vs. 0.102, p = 0.039) and F1 score (0.253 vs. 0.155, p = 0.012) than the non-radiomics model. There was no significant difference in ROC-AUC (0.728 vs. 0.737, p = 0.836) and geometric mean (0.737 vs. 0.681, p = 0.352).

conclusionsThis study demonstrated the potential of radiomics features based on venous-phase CECT images to identify D842V mutation in GISTs. Our model may provide an alternative approach to guide TKI therapy for patients inaccessible to sequence variant testing, potentially improving treatment outcomes for GIST patients especially in resource-limited settings.

Indexed as

Gastrointestinal Stromal TumorsMutationTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleGastrointestinal NeoplasmsHumansMaleMiddle AgedRadiomicsReceptor, Platelet-Derived Growth Factor alphaRetrospective StudiesReceptor, Platelet-Derived Growth Factor alphaGastrointestinal stromal tumorsPlatelet-derived growth factor alphaRadiomicsReceptorTomographyTyrosine kinase inhibitorsX-ray computed

Identifiers

PMID39707515
PMCPMC11662607

What Socratic holds

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LicenceCC BY
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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 Socratic graph.