ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026
Development and validation of MRI-based models to predict lymph node metastasis in bladder cancer: a multi-center study.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. 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
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate preoperative evaluation of lymph node (LN) status is crucial for guiding precise treatment. Although several methods have been developed for preoperative evaluation of LN status, accurate evaluation remains a challenge.
objectiveTo develop and validate MRI-based clinical prediction models for the preoperative assessment of lymph node metastasis (LNM) in patients with very high risk non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC). MATERIALS AND
methodsA total of 468 eligible patients with very high risk NMIBC and MIBC who underwent radical cystectomy and pelvic lymph node dissection from four hospitals were enrolled (derivation cohort, n=247; internal validation cohort, n=106; external validation cohort, n=115). Preoperative clinical characteristics were reviewed to identify significant predictors for constructing a nomogram and an integer-based model. The diagnostic performance of the nomogram and the integer-based model was compared using accuracy, sensitivity, specificity, and area under the curve (AUC). Kaplan–Meier survival curves were conducted to analyze the prognosis of patients.
resultsMultivariable analysis revealed that Node-RADS score and VI-RADS score were independent predictive factors for LNM. The nomogram based on these variables achieved an AUC of 0.885 for predicting LNM. An integer-based scoring system (NV score) was established, with an AUC of 0.883. Delong’s test indicated no significant difference between two models (P=0.535). The NV score demonstrated excellent discrimination in both internal (AUC: 0.930) and external (AUC: 0.924) validation cohorts. The optimal cutoff value of the NV score for predicting LNM in all patients was determined to be >3. Patients with high-LNM risk had significantly worse overall survival (HR=3.473) and recurrence-free survival (HR=4.400).
conclusionThe MRI-based NV score can preoperatively assess LNM status and predict postoperative prognosis in BCa patients.
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.