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Current Advances in Urinary Surgery

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nephrology & Urology".

Deadline for manuscript submissions: closed (28 February 2025) | Viewed by 1476

Special Issue Editors


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Guest Editor
Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
Interests: urolithasis; robot-assisted surgery; endoscopic surgery; prostate cancer; BPH

E-Mail Website
Guest Editor
Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
Interests: urinary surgery; kidney stone; laparoscopic surgery; prostate cancer

Special Issue Information

Dear Colleagues,

Thanks to technological advances, significant progress has been made in urinary surgery. For cancer treatment, robot-assisted and endoscopic procedures have been offered as less invasive approaches, leading to reduced pain and faster recovery with an equivalent success rate compared to traditional open surgeries. Great advances have also been made in urolithiasis treatment. The development of new endoscopy, laser, and equipment/tools has provided greater stone clearance with a less severe complication rate. Several transurethral techniques have emerged for BPH treatment, resulting in shorter procedure times with fewer side effects. In addition, we have currently become able to utilize image-guided procedures, including incorporating fluorescence, 3D imaging, and virtual reality, assisting surgeons in planning and performing complex procedures with greater accuracy. Image fusion procedures have also gained popularity in the treatment of localized cancer.

In this Special Issue, therefore, we welcome authors to submit papers on the current advances in urinary surgery.

Dr. Rei Unno
Dr. Takahiro Yasui
Guest Editors

Manuscript Submission Information

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Keywords

  • robot-assisted surgery
  • endoscopic surgery
  • image-guided surgery
  • URS
  • PCNL
  • HoLEP
  • PVP
  • UroLift
  • Rezum

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Published Papers (1 paper)

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Research

15 pages, 1204 KiB  
Article
Enhancing Data Completeness in Early Detection Pathway of Prostate Cancer: Integration of a Dashboard-Driven Feedback Tool to Improve Quality of Care
by Lucas C. van Maaren, Nanne Aben, Jolien van Kesteren, Veerle M. D. Struben, Maarten Stals, Kurdo Barwari, Jana Stárková, Erik van Muilekom, Jeroen Visser, Arnoud W. Postema, Matthias F. van Alphen, Marinus J. Hagens, Thierry N. Boellaard, Stijn W. T. P. J. Heijmink, Margriet C. van Dijk-de Haan, Pim J. van Leeuwen and Laura S. Mertens
J. Clin. Med. 2024, 13(24), 7529; https://doi.org/10.3390/jcm13247529 - 11 Dec 2024
Viewed by 941
Abstract
Background: Quality assurance in data collection is essential as data quality directly impacts the accuracy and reliability of outcomes. In the context of early detection of prostate cancer, improving data completeness is a key focus for enhancing patient care. This study aimed [...] Read more.
Background: Quality assurance in data collection is essential as data quality directly impacts the accuracy and reliability of outcomes. In the context of early detection of prostate cancer, improving data completeness is a key focus for enhancing patient care. This study aimed to evaluate the effectiveness of a data-driven feedback tool, visualized through a dashboard, in improving the completeness of data collection by healthcare professionals. Methods: A cohort of eight healthcare professionals were provided with a dashboard displaying weekly feedback on the completeness of 86 essential data items, including patient demographics, laboratory results, and imaging findings. A comparative analysis of data completeness was conducted for 577 patients enrolled in the prostate cancer early detection pathway, with 211 patients assessed before and 366 patients after the introduction of the dashboard. Statistical analysis was performed using the Mann–Whitney rank-sum test and Chi-square tests. Results: The implementation of the dashboard significantly improved data completeness across all healthcare professionals. The average completeness score increased from 0.70 (95% CI 0.67–0.76) before the dashboard’s introduction to 0.88 (95% CI 0.86–0.92) after its implementation, with a p-value of <0.001. Conclusions: The introduction of a data-driven feedback dashboard significantly enhanced data completeness within the prostate cancer early detection pathway. This improvement has the potential to positively impact the quality of care and to support the generation of high-quality data for future research. Full article
(This article belongs to the Special Issue Current Advances in Urinary Surgery)
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