Robotic dismembered pyeloplasty surgical simulation using a 3D-printed silicone-based model: development, face validation and crowdsourced learning outcomes assessment

Bendre, Hersh H.; Rajender, Archana; Barbosa, Philip V.; Wason, Shaun

doi:10.1007/s11701-020-01072-9

Cited by 10 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model described by Monda et al in 2018 10 was the only kidney tumour model for which construct validity was effectively proven. Our study is the first to demonstrate face and content validity, as well as to try to demonstrate preliminary construct validity of a potentially commercially available and fully 3D‐printed kidney tumour model for robotic training 14 …”

Section: Discussionmentioning

confidence: 92%

“…Our study is the first to demonstrate face and content validity, as well as to try to demonstrate preliminary construct validity of a potentially commercially available and fully 3D-printed kidney tumour model for robotic training. 14 There are currently no studies comparing 3D-printed kidney tumour models to biological models or digital simulation for robotic training. 15,16 We believe commercially available 3D-printed tumour models to be a valid and important option in training for RAPN.…”

Section: Discussionmentioning

confidence: 99%

“…Several studies exist showing face 6 , 7 , 8 , 9 , 10 , 14 and content validity for biological and 3D‐printed models in robotic training, though most of these did not evaluate construct validity. Most of these studies used non‐commercial, self‐developed models, which are heterogenous, expensive and hard to reproduce.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Validation of a 3D‐printed robot‐assisted partial nephrectomy training model

Hermans,

Snoeks,

vom Dorp

et al. 2023

BJUI Compass

View full text Add to dashboard Cite

ObjectivesMost renal tumours can be treated with a partial nephrectomy, with robot‐assisted partial nephrectomy becoming the new gold standard. This procedure is challenging to learn in a live setting, especially the enucleation and renorraphy phases. In this study, we attempted to evaluate face, content, and preliminary construct validity of a 3D‐printed silicone renal tumour model in robotic training for robot‐assisted partial nephrectomy.Materials and MethodsWe compared the operative results of three groups of surgeons with different experience levels (>20 partial nephrectomies, 1–20 partial nephrectomies and no experience at all) performing a robotic tumour excision of a newly developed silicone model with four embedded 3D‐printed renal tumours. We evaluated the participants' performance using surgical margins, excision time, total preserved parenchyma, tumour injury and GEARS score (as assessed by two blinded experts) for construct validity. Postoperatively, the participants were asked to complete a survey to evaluate the usefulness, realism and difficulty of the model as a training and/or evaluation model. NASA‐TLX scores were used to evaluate the operative workload.ResultsThirty‐six participants were recruited, each group consisting of 10–14 participants. The operative performance was significantly better in the expert group as compared to the beginner group. NASA‐TLX scores proved the model to be of an acceptable difficulty level.Expert group survey results showed an average score of 6.3/10 on realism of the model, 8.2/10 on the usefulness as training model and 6.9/10 score on the usefulness as an evaluation tool. GEARS scores showed a non‐significant tendency to improve between trials, emphasizing its potential as a training model.ConclusionFace and content validity of our 3D renal tumour model were demonstrated. The vast majority of participants found the model realistic and useful for training and for evaluation. To evaluate construct and predictive validity, we require further research, aiming to compare the results of 3D‐model trained surgeons with those of untrained surgeons in real‐life surgery.

show abstract

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of a 3D‐printed robot‐assisted partial nephrectomy training model

Hermans,

Snoeks,

vom Dorp

et al. 2023

BJUI Compass

View full text Add to dashboard Cite

show abstract

“…Bendre et al used the Global Evaluative Assessment of Robotic Skills (GEARS) to evaluate residents' performances in robotic-assisted dismembered pyeloplastic before and after training with 3D silicon-based renal models. After training, there was a significant improvement in depth perception, surgical speed, and confidence [ 218 ].…”

Section: Surgical Applicationsmentioning

confidence: 99%

Anatomical Engineering and 3D Printing for Surgery and Medical Devices: International Review and Future Exponential Innovations

Cornejo¹,

Cornejo-Aguilar

Vargas

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

Three-dimensional printing (3DP) has recently gained importance in the medical industry, especially in surgical specialties. It uses different techniques and materials based on patients’ needs, which allows bioprofessionals to design and develop unique pieces using medical imaging provided by computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, the Department of Biology and Medicine and the Department of Physics and Engineering, at the Bioastronautics and Space Mechatronics Research Group, have managed and supervised an international cooperation study, in order to present a general review of the innovative surgical applications, focused on anatomical systems, such as the nervous and craniofacial system, cardiovascular system, digestive system, genitourinary system, and musculoskeletal system. Finally, the integration with augmented, mixed, virtual reality is analyzed to show the advantages of personalized treatments, taking into account the improvements for preoperative, intraoperative planning, and medical training. Also, this article explores the creation of devices and tools for space surgery to get better outcomes under changing gravity conditions.

show abstract

“…Several studies have also demonstrated the usefulness of 3D-printed models for robotic surgical training [ 5 , 79 ]. Bendre et al used the Global Assessment of Robotic Skills (GEARS) criteria for assessing resident performance before and after training using a 3D silicone-based kidney model in a robotic pyeloplasty simulation [ 80 ]. Additionally, the results found significant improvements in depth perception, surgical speed and confidence after training.…”

Section: Three-dimensional Printing In Each Genitourinary Organmentioning

confidence: 99%

Application of 3D Bioprinting in Urology

et al. 2022

View full text Add to dashboard Cite

Tissue engineering is an emerging field to create functional tissue components and whole organs. The structural and functional defects caused by congenital malformation, trauma, inflammation or tumor are still the major clinical challenges facing modern urology, and the current treatment has not achieved the expected results. Recently, 3D bioprinting has gained attention for its ability to create highly specialized tissue models using biological materials, bridging the gap between artificially engineered and natural tissue structures. This paper reviews the research progress, application prospects and current challenges of 3D bioprinting in urology tissue engineering.

show abstract

Robotic dismembered pyeloplasty surgical simulation using a 3D-printed silicone-based model: development, face validation and crowdsourced learning outcomes assessment

Cited by 10 publications

References 11 publications

Validation of a 3D‐printed robot‐assisted partial nephrectomy training model

Validation of a 3D‐printed robot‐assisted partial nephrectomy training model

Anatomical Engineering and 3D Printing for Surgery and Medical Devices: International Review and Future Exponential Innovations

Application of 3D Bioprinting in Urology

Contact Info

Product

Resources

About