Evidence map›Paper›PMID 42225987›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2026

Application of delta radiomics based on cone-beam computed tomography in predicting radiotherapy efficacy for nasopharyngeal carcinoma.

Zhongfan Liao, Hongke Yin, Dashuang Luo, Jiaxing Xu, Xiaozhou Zeng, Xiaoyan Tang, Fasheng Huang, Xuhui Zhang

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Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2026. 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

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.

2 · The registry

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhongfan LiaoDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Hongke YinDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Dashuang LuoDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Jiaxing XuDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, 510060, Guangdong Guangzhou, China.
Xiaozhou ZengDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Xiaoyan TangDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Fasheng HuangDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China.
Xuhui ZhangDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Sichuan Chengdu, China. zxh2109@163.com.ORCID http://orcid.org/0000-0003-2308-5302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the value of cone-beam computed tomography (CBCT)-based delta radiomics for predicting short-term radiotherapy (RT) response in nasopharyngeal carcinoma (NPC).

methodsA total of 132 pathologically confirmed NPC patients receiving RT were retrospectively enrolled. Serial CBCT images during weeks 1-4 were collected. Patients were grouped by therapeutic response and randomly divided into training and test sets (7:3). Radiomic features from fractional CBCTs were extracted via Pyradiomics. Temporal delta-radiomic features were derived from interfraction differences. After applying feature normalization and dimensionality reduction, optimal features were selected using analysis of variance (ANOVA), recursive feature elimination, relevant features, and Kruskal-Wallis tests. Ten classifiers, including logistic regression (LR), were trained with 5‑fold cross-validation strategy. Predictive performance was evaluated by receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and the DeLong's test.

resultsThe LR model based on the CBCT

conclusionThe CBCT-based delta radiomics models can dynamically assess short-term RT response in NPC patients. This approach offers potential as an early-warning indicator during the RT course and provides a novel approach to guiding personalized precision radiotherapy for NPC.

Indexed as

Cone-Beam Computed TomographyNasopharyngeal CarcinomaNasopharyngeal NeoplasmsRadiomicsAdultAgedFemaleHumansMaleMiddle AgedRadiotherapy Planning, Computer-AssistedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityTreatment OutcomeYoung AdultCBCTMachine learningNasopharynx cancerRadiation therapyTherapeutic response evaluation

Identifiers

PMID42225987

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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.