Evidence map›Paper›PMID 42045511›Full record

ArticleEuropean radiology2026

Temporal lymph node imaging features for prognostic risk stratification in neoadjuvant immunotherapy for esophageal cancer: a multicenter study.

Tiantian Fan, Xinxin Wang, Funing Chu, Can Yu, Tong Wei, Qiuju Zhang, Jinrong Qu, Yang Zhou

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 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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5 · Who and what money

Authors and funding

8 authors.

Tiantian Fan *Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China.
Xinxin Wang *Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China.
Funing ChuDepartment of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Can YuDepartment of Radiology, Harbin Medical University Cancer Hospital, Harbin, China.
Tong WeiDepartment of Radiology, Harbin Medical University Cancer Hospital, Harbin, China.
Qiuju ZhangHealth Management Centre, Harbin Medical University Cancer Hospital, Harbin, China.
Jinrong QuDepartment of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China. qjryq@126.com.
Yang ZhouDepartment of Radiology, Harbin Medical University Cancer Hospital, Harbin, China. zhouyang094@126.com.ORCID http://orcid.org/0000-0001-5296-220X

Funding

Henan Province Central Plains Talent Program (Nurturing talent Series No.RS0011Henan Province Special Program for Clinical Research Physician Training D20240001Investigator-initiated Clinical Trial and Transformation of Scientific Achievements, Henan Cancer Hospital ITTA-2404The Projects of the General Programs of the National Natural Science Foundation of China No.82271979
6 · The paper itself

Abstract

objectiveThis system aims to identify high-risk subgroups with pathologically negative lymph nodes (ypN0) in locally advanced esophageal squamous cell carcinoma (ESCC), thereby providing a basis for informed adjuvant therapy decisions. MATERIALS AND

methodsA retrospective study included 325 patients with locally advanced ESCC. In the training cohort, multivariable logistic regression using temporal imaging features of the largest lymph node after neoadjuvant immunochemotherapy (NICT) identified independent predictors of pathologically positive lymph-node (ypN+). A predictive model was constructed and evaluated using time-dependent receiver operating characteristic curves, calibration curves, and decision-curve analysis. Significant variables with p < 0.05 from the multivariable logistic regression analysis were used to develop the temporal lymph node stratification (TLNS) score by rounding the absolute values of their β coefficients. This score was used to stratify ypN0 patients by prognostic risk. The predictive performance of the TLNS score was further validated through comparison with the clinical N (cN) stage.

resultsMultivariate analysis indicated that irregular lymph node borders, pre-NICT heterogeneity, and < 30% reduction in longest diameter after NICT were correlated with ypN+ (p < 0.05). The TLNS score outperformed cN staging in predicting prognosis for ypN0 patients, with higher C-indices in the training (0.66 vs 0.50) and external validation cohorts (0.72 vs 0.59). Among ypN0 patients without adjuvant therapy, those with high TLNS scores had significantly poorer prognosis than ypN+ patients receiving adjuvant therapy.

conclusionThe TLNS score stratified ypN0 patients into two groups; high scores were associated with worse postoperative survival and potential benefit from adjuvant therapy. KEY POINTS: Question The requirement of adjuvant therapy in patients exhibiting ypN0 following neoadjuvant immunotherapy combined with chemotherapy (NICT). Finding Patients were categorized into high-TLNS (scores ≥ 2) and low-TLNS (scores < 2) groups based on TLNS score. Clinical relevance TLNS score effectively stratified ypN0 patients into two distinct subgroups: those with a high TLNS score had reduced postoperative survival and could benefit from adjuvant therapy.

Indexed as

Esophageal NeoplasmsImmunotherapyLymph NodesNeoadjuvant TherapyAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesRisk AssessmentROC CurveTomography, X-Ray ComputedEsophageal cancerLymph nodeNeoadjuvant immunotherapyRisk stratificationypN0

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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.