Skip to main content

A systematic review and meta-analysis of the radiological features predicting lateral pelvic lymph node positivity in rectal cancers

In brief

Rectal nodes at least 7 mm carry about 11-fold higher odds of metastasis

Across five studies, lateral pelvic lymph nodes measuring at least 7 mm before treatment were associated with about 11 times higher odds of cancer involvement on pathology, though results varied substantially. Overall, imaging features remain poor at reliably predicting which nodes are positive; radiomics and artificial intelligence look worthy of further study, not yet ready to resolve the uncertainty.

Journal
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology (Q1)
Published
6 October 2026
Study design
Systematic review of cohort studies
Evidence level
Level 2, Moderate (CEBM 2a)
Authors
Thomas McSkimming, Johannes See Yi Xian, Roisin Ramsay, Fraser Cullen, Norman J Galbraith, Campbell S Roxburgh, et al.
PMID
42858628
DOI
10.1016/j.ejso.2026.112194

Why clinicians should know about it

Abstract

Lateral pelvic lymph node (LPLN) metastasis is a major contributor to the local recurrence in rectal cancer. Management of LPLN metastasis remains controversial. In the neoadjuvant chemoradiotherapy (nCRT) setting, pre-treatment nodal size remains the recommended sole criteria for surgical resection of LPLN despite increasing evidence of its poor sensitivity and specificity. We therefore aimed to review the literature for radiological diagnostic features which are predictive of LPLN involvement on histopathological assessment. A systematic literature search was conducted across MEDLINE, Embase, Clinicaltrials.gov and Cochrane databases. A variety of radiological features were studied: size, size in combination with preoperative therapy, pretreatment SA diameter, morphology and miscellaneous - radiomics, uptake scans and nomograms. A meta-analysis was then conducted for pre-nCRT short axis (SA) diameter; results not included in the meta-analysis were covered with a narrative review. Quality assessment was carried out using QUADAS-2 and GRACE tools. A total of 63 papers were included in the final report. Pre-neoadjuvant SA diameter of 7 mm was a significant cut-off. A forest plot from these 5 papers produced a pooled odds ratio of 10.75 [95% CI 7.97, 14.49] favouring nodal involvement, although heterogeneity was substantial (I2: 68%). Radiomics and machine learning significantly outperformed traditional radiological features with high sensitivity and specificity highlighting potential for future diagnostic development. A range of radiological features have been studied in the literature; these features remain poor predictors of LPLN positivity in terms of sensitivity and specificity. Results are heterogeneous and further research including into radiomics and artificial intelligence aided models is required.

Abstract as published, via PubMed.

View on PubMedFull text at the publisherOpen in the app

For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.