ReviewAsian journal of urology2022
New imaging technologies for robotic kidney cancer surgery.
Review in Asian journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Surgical approaches to esophageal cancer gastrointestinal reconstruction: a systematic review of jejunum, colon, and ileocolonic interposition with comparative outcome analysis.World journal of surgical oncology · 2026Pooled it
- Exploring the Feasibility of an Insourced 3D-Imaging Reconstruction: Preliminary Series with the Use of Synapse3D™ Software.Cancers · 2026Article
- Metaverse in surgery - origins and future potential.Nature reviews. Urology · 2026Review
- A systematic review of robot-assisted partial nephrectomy outcomes for advanced indications: Large tumors (cT2-T3), solitary kidney, completely endophytic, hilar, recurrent, and multiple renal tumors.Asian journal of urology · 2023Review
- Robotic surgery in urology: Recent advances.Asian journal of urology · 2023Article
- Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature.Diagnostics (Basel, Switzerland) · 2023Review
- Three-Dimensional Customized Imaging Reconstruction for Urological Surgery: Diffusion and Role in Real-Life Practice from an International Survey.Journal of personalized medicine · 2023Article
- Artificial Intelligence-Based Hyper Accuracy Three-Dimensional (HA3DDiagnostics (Basel, Switzerland) · 2023Article
- Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3DMedicina (Kaunas, Lithuania) · 2023Article
- Superior Mesenteric Artery Injury during Robotic Radical Nephrectomy: Scenarios and Management Strategies.Journal of clinical medicine · 2023Article
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Kidney cancers account for approximately 2% of all newly diagnosed cancer in 2020. Among the primary treatment options for kidney cancer, urologist may choose between radical or partial nephrectomy, or ablative therapies. Nowadays, robotic-assisted partial nephrectomy (RAPN) for the management of renal cancers has gained popularity, up to being considered the gold standard. However, RAPN is a challenging procedure with a steep learning curve. Methods: In this narrative review, different imaging technologies used to guide and aid RAPN are discussed. Results: Three-dimensional visualization technology has been extensively discussed in RAPN, showing its value in enhancing robotic-surgery training, patient counseling, surgical planning, and intraoperative guidance. Intraoperative imaging technologies such as intracorporeal ultrasound, near-infrared fluorescent imaging, and intraoperative pathological examination can also be used to improve the outcomes following RAPN. Finally, artificial intelligence may play a role in the field of RAPN soon. Conclusion: RAPN is a complex surgery; however, many imaging technologies may play an important role in facilitating it.
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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.