ArticleDiscover oncology2025
Prediction of regional lymph node metastasis in rectal cancer: a novel model based on transrectal contrast-enhanced ultrasound.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundRegional lymph node metastasis (RLNM) is a crucial prognostic factor for rectal cancer (RC). Accurate preoperative assessment of lymph node status assists clinicians in identifying high-risk patients and formulating treatment plans. Transrectal contrast-enhanced ultrasound (CEUS) can be used to evaluate the degree of microcirculation perfusion in RC, and provide information about tumor heterogeneity. The aim of this study was to develop a nomogram based on CEUS for the accurate assessment of RLNM in patients with RC.
methodsCEUS data, routine ultrasound parameters, and clinical and pathological data of patients with RC who underwent surgery between April 2020 and December 2023 were collected. Univariate analysis was performed to identify relevant RLNM factors, which were included in binary logistic regression to determine independent risk factors and generate a nomogram. To evaluate the model, receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were plotted.
resultsA total of 195 patients were included in this study, with 138 and 57 patients in the training and validation groups, respectively. The independent risk factors for RLNM in RC identified through the analysis were Contrast-enhanced ultrasound inhomogeneity grade (CEUS-IG), endoscopic tumor morphology, and carbohydrate antigen 199 (CA199) level. The nomogram constructed based on these variables demonstrated good discrimination, with area under the curve (AUC) values of 0.832 in the training group and 0.792 in the validation group. The calibration curve indicated good consistency between the predicted values and the actual observations, and DCA demonstrated good clinical utility of the model.
conclusionsThis study combined CEUS-IG with endoscopic tumor morphology and CA199 levels to develop a predictive model for RLNM in rectal cancer, providing valuable predictive information for preoperative evaluation. This model can enhance diagnostic accuracy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.