Evidence map›Paper›PMID 41686550›Full record

ArticleMedicine2026

An 18F-FDG PET/CT-based radiomics nomogram for predicting progression-free survival in nasopharyngeal carcinoma: A retrospective cohort study.

Jianpeng Lin, Jinghua Liu, Yanli Liu, Zhendong Cao, Dong Wen, Yanjun Wu, Zhongxiao Wang, Xiaolei Zhang, Bingzhen Wang, Shuyan Li and 1 more

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jianpeng LinHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Jinghua LiuDepartment of Nursing, Chengde Central Hospital, Chengde City, Hebei Province, China.
Yanli LiuHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Zhendong CaoDepartment of Radiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Dong WenInstitute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China.
Yanjun WuHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Zhongxiao WangHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Xiaolei ZhangHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Bingzhen WangHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.
Shuyan LiTianjin Corps Hospital of Chinese Armed Police Force, Tianjin, China.
Xianling DongHebei International Research Center for Medical-Engineering, Chengde Medical University, Hebei, China.ORCID 0009-0002-8787-8379

Funding

Chengde Biomedicine Industry Research Institute Funding project 202205B086Chengde Medical university Project 202307,202404Hebei Province Introduced Returned Overseas Chinese Scholars Funding Project C20220107
6 · The paper itself

Abstract

This study aimed to develop and validate a positron emission tomography/computed tomography (PET/CT)-based nomogram for individualized prediction of 3-year progression-free survival (PFS) in patients with nasopharyngeal carcinoma (NPC). A total of 128 patients with NPC who underwent pretreatment PET/CT imaging were retrospectively enrolled. Radiomic features were extracted from PET and CT images, and clinical variables were collected. Feature selection was performed using univariate Cox analysis, multivariable Cox analysis, and the least absolute shrinkage and selection operator regression to identify independent predictors. A nomogram was constructed by integrating CT-Radscore, PET-Radscore, and key clinical variables. Model performance in predicting 3-year PFS was evaluated using the concordance index, time-dependent area under the receiver operating characteristic curve, Kaplan-Meier survival curves, calibration curves, and decision curve analysis in both training and validation cohorts. The nomogram incorporating CT-Radscore, PET-Radscore, and lactate dehydrogenase demonstrated robust predictive ability for PFS in NPC. The area under the receiver operating characteristic curve for predicting 3-year PFS was 0.813 in the training cohort and 0.739 in the validation cohort. The corresponding concordance index values were 0.705 and 0.635, respectively. Calibration plots and decision curve analysis confirmed the nomogram's reliability and clinical utility. A PET/CT-based radiomics nomogram (CT-Radscore, PET-Radscore, and lactate dehydrogenase) achieved robust prediction of 3-year PFS and enhanced prognostic stratification in NPC. External validation in larger multi-center cohorts is needed due to the single-center retrospective design and moderate sample size.

Indexed as

Fluorodeoxyglucose F18Nasopharyngeal CarcinomaNasopharyngeal NeoplasmsNomogramsPositron Emission Tomography Computed TomographyAdultAgedFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRadiomicsRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticalsnasopharyngeal carcinomanomogramPET/CTsurvival analysis

Identifiers

PMID41686550
PMCPMC12908803

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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.