Evidence map›Paper›PMID 41985292›Full record

ArticleBrazilian journal of otorhinolaryngology

Enhanced CT‑based radiomics model to predict CD40LG expression and clinical prognosis in head and neck squamous cell carcinoma.

Liyuan Fan, Liang Shi, Haokun Yuan, Zhongchao Wang, Jinghan Wang, Feng Xian, Yandong Mu

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In one paragraph

Article in Brazilian journal of otorhinolaryngology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Liyuan FanUniversity of Electronic Science and Technology of China, School of Medicine, Sichuan Provincial People's Hospital, Department of Stomatology, Chengdu, China; Southwest Medical University, The Affiliated Stomatology Hospital, Department of Prosthodontics, Luzhou, Sichuan, China; Southwest Medical University, Institute of Stomatology, Luzhou, Sichuan, China. Electronic address: fly56@swmu.edu.cn.
Liang ShiSouthwest Medical University, The Affiliated Stomatology Hospital, Department of Prosthodontics, Luzhou, Sichuan, China; Southwest Medical University, Institute of Stomatology, Luzhou, Sichuan, China.
Haokun YuanSouthwest Medical University, The Affiliated Hospital, Department of Pediatrics, Division of Neonatology, Luzhou, Sichuan, China.
Zhongchao WangSouthwest Medical University, Institute of Stomatology, Luzhou, Sichuan, China; Southwest Medical University, The Affiliated Stomatology Hospital, Department of Periodontics & Oral Mucosal Diseases, Luzhou, Sichuan, China.
Jinghan WangSouthwest Medical University, The Affiliated Stomatology Hospital, Department of Prosthodontics, Luzhou, Sichuan, China; Southwest Medical University, Institute of Stomatology, Luzhou, Sichuan, China.
Feng XianNorth Sichuan Medical College, The Second Clinical Medical College, Nanchong Central Hospital, Department of Oncology, Nanchong, China.
Yandong MuUniversity of Electronic Science and Technology of China, School of Medicine, Sichuan Provincial People's Hospital, Department of Stomatology, Chengdu, China. Electronic address: yandongmu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research aimed to develop an enhanced CT-based radiomics model capable of predicting CD40LG expression.

methodsFor 399 HNSCC cases, the Cancer Genome Atlas provided gene sequencing, and the Cancer Imaging Archive provided computerized tomography scans. Next, radiomic features were selected through maximum relevance minimum redundancy, and recursive feature elimination. Researchers used gradient boosting machines to develop a radiomics model for CD40LG prediction, evaluating it with operating characteristic curves, decision curves, and the Hosmer-Lemeshow test.

resultsThe study found that CD40LG levels were significantly lower in HNSCC tissues than healthy ones. High CD40LG expression was associated with better survival rates, as shown by Kaplan-Meier analysis. The findings of regression analyses confirmed that HNSCC patients with higher CD40LG expression had better outcomes. We developed a CD40LG prediction model based on seven key radiomics features. The ROC analysis showed high accuracy for our model, with an AUC of 0.872 for training data and 0.762 for validation data. The calibration and decision curves indicated good model performance in predicting outcomes and applicability. High CD40LG expression was linked to higher RS values, while HNSCC patients with lower RS values fared poorly.

conclusionsThe study concludes that a contrast-enhanced CT-based radiomics model can accurately predict CD40LG expression and prognosis in HNSCC patients, aiding in clinical decision-making. LEVEL OF EVIDENCE: Level 4.

Indexed as

CD40 LigandHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckTomography, X-Ray ComputedAdultAgedBiomarkers, TumorFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisRadiomicsROC CurveBiomarkers, TumorCD40 LigandCD40LGClinical prognosisCTHNSCCRadiomics

Identifiers

PMID41985292
PMCPMC13096914

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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.