ArticleWorld journal of urology2026
Correlation between male pelvic and soft tissue parameters based on three-dimensional reconstruction and the difficulty of robot-assisted radical prostatectomy.
Article in World journal of urology, 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
10 authors.
Funding
Abstract
objectiveTo investigate the correlation between male pelvic osseous and soft tissue parameters obtained from preoperative three-dimensional (3D) computed tomography (CT) reconstruction and the surgical difficulty of robot-assisted radical prostatectomy (RARP).
methodsThe study enrolled 324 patients with localized or locally advanced prostate cancer who underwent RARP. Based on preoperative CT images, 3D reconstruction was performed using Mimics Medical 21.0 software to accurately measure anatomical parameters. The K-means clustering algorithm was adopted for unsupervised anatomical subtyping of the patients; least absolute shrinkage and selection operator (LASSO) regression was used for feature dimensionality reduction, followed by multivariate linear and logistic regression analyses to identify the independent predictors of each outcome. Finally, a nomogram prediction model was constructed with OT as the endpoint event.
resultsK-means clustering divided the 324 patients into two anatomical subgroups,. Multivariate analysis revealed that the independent predictors of OT. PD was the only independent predictor of EBL. The independent predictors of SM were Gleason score,nerve-sparing procedure, APM and angle δ. The nomogram model for OT constructed based on 7 pelvic anatomical predictors had an apparent area under the curve (AUC) of 0.945. The calibration curve demonstrated good consistency between the predicted and actual observed probabilities.
conclusionPelvic anatomical parameters derived from 3D CT reconstruction can effectively predict the surgical difficulty of RARP. Among these parameters, pelvic spatial dimensional parameters mainly affect OT, PD independently predicts the risk of intraoperative bleeding, while positive SM is jointly driven by tumor biological characteristics, surgical decisions and anatomical factors. The nomogram model constructed with 7 pelvic anatomical parameters exhibits good discrimination and calibration, which can serve as an objective and quantitative decision-making tool for preoperative assessment of surgical difficulty and formulation of individualized surgical strategies for RARP.
Indexed as
Identifiers
42029744What 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.