Evidence map›Paper›PMID 42101311›Full record

Observational studyRadiology. Imaging cancer2026

CT-based Extranodal Extension for Nodal Staging and Prognostic Stratification in Surgically Resectable Esophageal Squamous Cell Carcinoma.

Xiaowen Xie, Ziyu Ning, Hengxiao Hu, Jiahui Chen, Yihuai Hu, Lujun Han, Ting Lin, Yunshi Liang, Kuanhong Wang, Yingying Guo and 6 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Radiology. Imaging cancer, 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Xiaowen Xie *Department of Radiology, Guangdong Medical University, Zhanjiang, China.ORCID 0009-0003-3031-9397
Ziyu Ning *Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Hengxiao HuDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Jiahui ChenDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.ORCID 0009-0005-2183-7162
Yihuai HuDepartment of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Lujun HanDepartment of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ting LinDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0003-3825-6178
Yunshi LiangDepartment of Pathology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Kuanhong WangDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.ORCID 0009-0009-8166-9411
Yingying GuoDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Yajun LiuDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Jingfan ZhanDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Yulu HouDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Xin ChenDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.
Chenyi Xie *Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7399-6425
Lisha Lai *Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou 510180, China.ORCID 0009-0002-8587-0461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop and validate a structured CT-based grading system for imaging-identified extranodal extension (iENE) and assess its diagnostic accuracy and prognostic significance in esophageal squamous cell carcinoma. Materials and Methods In this retrospective multicenter study, preoperative CT examinations in patients with esophageal squamous cell carcinoma treated at four tertiary hospitals between January 2017 and December 2023 were reviewed. CT features evaluated included indistinct nodal margins, coalescent nodal mass, invasive encasement, halo sign, and black ring sign. Radiologic-pathologic node-by-node correlation was performed in the development cohort to assess diagnostic performance. The validation cohort consisted of an independent, multicenter patient population and was used to evaluate the prognostic value of iENE at the patient level. Logistic regression and receiver operating characteristic analyses were used to assess diagnostic performance, while overall survival was evaluated using Kaplan-Meier and Cox regression analyses. Results A total of 912 patients with esophageal squamous cell carcinoma were included, with 95 patients (mean age, 62 years ± 8; 75 male patients) in the development cohort and 817 patients (mean age, 62 years ± 9; 619 male patients) in the validation cohort. Coalescent nodal mass, invasive encasement, and black ring sign at CT demonstrated 100% specificity for pathologic ENE. An iENE score of 2 or higher achieved optimal diagnostic performance (sensitivity, 82% [36 of 44]; specificity, 90% [250 of 279]; accuracy, 89% [286 of 323]). Patients with high-risk iENE (score ≥2) had worse overall survival than those with low-risk disease in both the development cohort (hazard ratio, 8.83; 95% CI: 3.30, 23.64;

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaExtranodal ExtensionTomography, X-Ray ComputedAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesAbdomen/GICTDecision AnalysisOutcomes Analysis

Identifiers

PMID42101311
PMCPMC13231222

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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.