Evidence map›Paper›PMID 42470525›Full record

ArticleInternational journal of colorectal disease2026

Nomogram for predicting lymph node metastasis in ypT0-2 rectal cancer after neoadjuvant chemoradiotherapy.

Hyeung-Min Park, Jaram Lee, Soo Young Lee, Chang Hyun Kim, Hyeong Rok Kim

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Article in International journal of colorectal disease, 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

5 authors.

Hyeung-Min ParkDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Republic of Korea.
Jaram LeeDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Republic of Korea.
Soo Young LeeDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Republic of Korea. syleecrs@gmail.com.
Chang Hyun KimDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Republic of Korea.
Hyeong Rok KimDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate prediction of lymph node (LN) metastasis is essential for determining completion radical surgery following local excision (LE) in rectal cancer treated with neoadjuvant chemoradiotherapy (CRT). This study aimed to identify predictors of LN metastasis and develop a nomogram to support post-excision decision-making in rectal cancer patients after CRT.

methodsWe retrospectively reviewed 215 patients with pathological stage ypT0-2 rectal cancer who underwent radical surgery following CRT. Pre- and post-CRT magnetic resonance imaging findings and clinicopathological factors were analysed to identify predictors of LN metastasis. A predictive nomogram was subsequently constructed and evaluated using receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC).

resultsFactors associated with LN metastasis included pre-CRT mrN stage (mrN0 7.3% vs. mrN1 19.4% vs. mrN2 25.0%; p = 0.004), ypT stage (ypT0 2.7% vs. ypT1 13.3% vs. ypT2 19.8%; p = 0.003), and perineural invasion (PNI) (negative 11.1% vs. positive 35.3%; p = 0.013). Multivariable analysis identified pre-CRT mrN stage (p = 0.011), ypT stage (p = 0.033), and PNI (p = 0.036) as independent predictors. The nomogram exhibited acceptable calibration, with the area under the ROC curve of 0.777 (95% CI 0.681-0.874). DCA and CIC revealed the model's potential clinical utility.

conclusionPre-CRT mrN stage, ypT stage, and PNI were independent predictors of LN metastasis in ypT0-2 rectal cancer following CRT. The developed nomogram may help identify candidates for completion radical surgery after LE, potentially facilitating organ preservation and reducing unnecessary surgical morbidity.

Indexed as

ChemoradiotherapyNeoadjuvant TherapyNomogramsRectal NeoplasmsAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisNeoplasm StagingROC CurveLymph node metastasisNeoadjuvant chemoradiotherapyNomogramOrgan preservationRectal cancer

Identifiers

PMID42470525
PMCPMC13661684

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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.