Evidence map›Paper›PMID 42420899›Full record

ArticleBMC cancer2026

CT-based Node-RADS classification in the assessment of rectal cancer: diagnostic performance and postoperative prognostic stratification.

Zijian Zhuang, Li Jiang, Fugang Zhang, Haitao Zhu, Xi Tang, Dongqing Wang, Lirong Zhang

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Article in BMC cancer, 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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7 authors.

Zijian Zhuang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Li Jiang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Fugang ZhangSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Haitao ZhuDepartment of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Xi TangSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Dongqing Wang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China. wangdongqing71@163.com.
Lirong Zhang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China. tianchen861@ujs.edu.cn.ORCID https://orcid.org/0000-0002-3948-1193

Funding

Key Project of Jiangsu Provincial Health Commission K2019024National Natural Science Foundation of China 82272066Natural Science Foundation of Jiangsu Province BK20191223Scientific research project of the Jinshan Talent Training Program for high-level leading Talents YLJ202111
6 · The paper itself

Abstract

backgroundLymph node metastasis significantly impacts rectal cancer prognosis and treatment planning; yet, current imaging assessment methods lack standardization. This study aimed to evaluate the diagnostic performance and postoperative prognostic implications of the Node Reporting and Data System (Node-RADS) 1.0 categories in the initial regional nodal assessment of rectal cancer.

methodsThis retrospective study included 188 consecutive patients with rectal cancer without preoperative treatment who underwent surgery between 2017 and 2024. Two radiologists evaluated regional lymph nodes according to the Node-RADS 1.0 criteria and assigned each patient the highest Node-RADS category on the basis of computed tomography (CT) images. Survival and recurrence data were retrospectively collected. Interobserver agreement was assessed by weighted kappa statistics. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. The Kaplan‒Meier method, log-rank test, and Cox regression were used to evaluate overall survival (OS) and recurrence-free survival (RFS). Subgroup analyses were performed according to the adjuvant therapy status.

resultsNode-RADS yielded an area under the curve (AUC) of 0.847, a sensitivity of 71.9% and a specificity of 93.5%. Substantial interobserver agreement was observed in the Node-RADS categories assigned by the two readers (weighted κ = 0.748, 95% CI: 0.692-0.805). On the basis of the optimal cutoff value, patients were divided into low-risk Node-RADS (categories 1-3) and high-risk Node-RADS (categories 4-5) groups. During a median follow-up of 52.1 months, patients with Node-RADS categories 4-5 demonstrated poorer OS and RFS than did those with lower Node-RADS categories (both p < 0.001), and this survival difference remained significant in subgroups, regardless of the postoperative adjuvant therapy status (all p < 0.05). In the multivariable analysis, Node-RADS category 4-5 was significantly associated with both poor OS (hazard ratio [HR] = 2.58, 95% CI: 1.21-5.49, p = 0.014) and poor RFS (HR = 2.99, 95% CI: 1.35-6.61, p = 0.007).

conclusionsThe Node-RADS category during the primary staging of rectal cancer was a significant predictor of postsurgical patient outcomes, but prospective and multicentre validation is needed to confirm its clinical utility. Our findings suggest that CECT-based Node-RADS could serve as a valuable tool for risk stratification and treatment planning for patients with rectal cancer.

trial registrationThis was a retrospective study and did not require clinical trial registration.

Indexed as

Lymphatic MetastasisLymph NodesRectal NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesROC CurveComputed tomographyLymph node metastasisNode-RADSPrognosisRectal cancer

Identifiers

PMID42420899
PMCPMC13628960

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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.