ArticleAbdominal radiology (New York)2026
A predictive model combining conventional and contrast-enhanced ultrasound for predicting complete microwave ablation of uterine fibroids: a multi-centre study.
Article in Abdominal radiology (New York), 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
14 authors.
Funding
Abstract
objectiveTo develop a pre-percutaneous microwave ablation (PMWA) model combining conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) for predicting non-perfused volume ratio (NPVR) ≥ 80% in patients with uterine fibroids.
methodsThis multicentre, retrospective study enrolled 276 patients with pathologically confirmed uterine fibroids (training/validation = 140/136). CUS features (maximum diameter, pre-operative volume, location, echo), CEUS parameters (maximum intensity: IMAX), and ablation parameters (energy, time, energy per unit volume [EPV], and time per unit volume [TPV]) were analysed. Multivariate logistic regression identified predictors, and model performance was assessed using the area under the receiver operating characteristic curve (AUC) and clinical decision curve analysis.
resultsMultivariate analysis identified four independent predictors: maximum diameter (odds ratio [OR] = 0.47, p < 0.001), IMAX (OR = 0.34, p = 0.013), energy (OR = 1.01, p = 0.002), and TPV (OR = 0.69, p < 0.001). The prediction model performed well in both the training (AUC = 0.79, 95% confidence interval [CI] = 0.71-0.87) and validation (AUC = 0.70, 95%CI = 0.61-0.79) datasets. P values for the Hosmer-Lemeshow test were 0.263 and 0.980, respectively, and the Brier Score was 0.184.
conclusionThis study established a prediction model based on CUS features, CEUS perfusion parameters, and ablation parameters to evaluate the efficacy of PMWA for uterine fibroids; NPVR ≥ 80% can be predicted using the nomogram. This model enables accurate prediction of the efficacy of PMWA for uterine fibroids, providing profound guidance for pre-operative assessment and intraoperative management in clinical practice and facilitating personalised, precision treatment.
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.