ArticleUrology2019
"Pin the Tumor on the Kidney:" An Evaluation of How Surgeons Translate CT and MRI Data to 3D Models.
Article in Urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06418243 (Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging), which is not on this map. Cited by 16 papers.
What it found
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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.
Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging
Who cites it
16 citing papers in PubMed, 50 citations in OpenAlex.
- Measurement of renal tumor size: the impact of 2D versus 3D methods on the T-stage.Abdominal radiology (New York) · 2026Article
- 3D imaging contribution in pediatric surgical oncology: a multi-stakeholder assessment study.Scientific reports · 2026Article
- Implementation of surgical rehearsal utilizing patient specific hydrogel kidney phantoms prior to complex renal cancer surgery: a pilot study.World journal of urology · 2024Article
- Polarization-sensitive optical coherence tomography for renal tumor detection inOptics and lasers in engineering · 2024Article
- [Intervention planning in modern renal surgery].Urologie (Heidelberg, Germany) · 2023Review
- Development and clinical applicability of MRI-based 3D prostate models in the planning of nerve-sparing robot-assisted radical prostatectomy.Journal of robotic surgery · 2023Article
- Article
- Advanced 3D Visualization and 3D Printing in Radiology.Advances in experimental medicine and biology · 2023Article
- Virtual Resection: A New Tool for Preparing for Nephron-Sparing Surgery in Wilms Tumor Patients.Current oncology (Toronto, Ont.) · 2022Article
- A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors.Medicine and pharmacy reports · 2022Review
- Three-Dimensional Visualization With Virtual Reality Facilitates Complex Live Donor Renal Transplant.Ochsner journal · 2022Article
- Computed Tomography Image Features under Denoising Algorithm for Benign and Malignant Diagnosis of Renal Parenchymal Tumor.Contrast media & molecular imaging · 2022Article
- Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study.European radiology · 2020Observational
- Three-dimensional Reconstruction of Renal Vascular Tumor Anatomy to facilitate accurate preoperative planning of partial nephrectomy.BioMedicine · 2020Article
- 3D Printing in a hospital: Centralized clinical implementation and applications for comprehensive care.Digital healthArticle
- Application of Three-Dimensional Virtual Reality Models to Improve the Pre-Surgical Plan for Robotic Partial Nephrectomy.JSLS : Journal of the Society of Laparoendoscopic SurgeonsArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo quantify how surgeons translate 2-dimensional (2D) computed tomography (CT) or magnetic resonance imaging (MRI) data to a 3-dimensional (3D) model and evaluate if 3D printed models improve tumor localization. MATERIALS AND
methodsTwenty patients with renal masses were randomly selected from our institutional review board approved prospective 3D modeling study. Three surgeons reviewed the clinically available CT or MRI data; and using computer-aided design software, translated the renal tumor to the position on the kidney that corresponded with the image interpretation. The renal tumor location determined by each surgeon was compared to the true renal mass location determined by the segmented imaging data and the Dice Similarity Coefficient (DSC) was calculated to evaluate the spatial overlap accuracy. The exercise was repeated for a subset of patients with a 3D printed model.
resultsThe mean DSC was 0.243 ± 0.236 for the entire cohort (n = 60). There was no overlap between the actual renal tumor and renal tumor identified by the surgeons in 16 of 60 cases (26.67%). Seven cases were reviewed again by 2 surgeons in a different setting with a 3D printed renal cancer model. For these cases, the DSC improved from 0.277 ± 0.248 using imaging only to 0.796 ± 0.090 with the 3D printed model (P < .01).
conclusionIn this study, cognitive renal tumor localization based on CT and MRI data was poor. This study demonstrates that experienced surgeons cannot always translate 2D imaging studies into 3D. Furthermore, 3D printed models can improve tumor localization and potentially assist with appropriate surgical approach.
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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.