RESUMEN
INTRODUCTION: We aimed to evaluate the novel use of a 1.9 mm Trilogy lithotripter probe with varying locations and composition of renal stones. METHODS: We prospectively enrolled patients to undergo mini percutaneous nephrolithotomy (mPCNL) procedures using the 1.9 mm (instead of the standard 1.5 mm) Trilogy probe from August 2021 to April 2022. Several adjunctive irrigation measures compensated for reduced flow with the larger probe. Primary outcome was treatment efficiency. Patient demographics, preoperative demographics, and comorbidities, as well as real-time surgical data were extracted. Statistical analysis was performed using Kruskal-Wallis tests to compare stone type and location. RESULTS: A total of 110 patients were included in this study. The median total treatment time was 6.8 minutes, median lithotripsy time was 3.3 minutes, median stone treatment efficiency was 0.34 mm/min, and treatment efficacy was 50.4 (lithotripter time/treatment time). Overall median lithotripter efficiency was 104.6 mm3/min. Treatment efficiency was similar among stone composition (p=0.245) and location (p=0.263). Lithotripter 3D and 1D efficiency was also similar among stone composition (p=0.637 and p=0.766, respectively). Lithotripter 1D efficiency was nearly twice as fast in the lower pole compared to other stone locations (p=0.010). Overall broken probe rate for this procedure was 12%, mostly at the beginning, suggesting a learning curve. Five patients had minor complications, including one patient that required admission to the hospital for postoperative pain management. CONCLUSIONS: The 1.9 mm Trilogy lithotripter can be effective in mPCNL procedures with the use of easily implementable adjunctive irrigation techniques, decreasing the gap between lithotripsy time and total treatment time.
RESUMEN
The advent of affordable technology has significantly influenced the practice of digital pathology, leading to its growing adoption within the pathology community. This review article aimed to outline the latest developments in digital pathology, the cutting-edge advancements in artificial intelligence (AI) applications within this field, and the pertinent United States regulatory frameworks. The content is based on a thorough analysis of original research articles and official United States Federal guidelines. Findings from our review indicate that several Food and Drug Administration-approved digital scanners and image management systems are establishing a solid foundation for the seamless integration of advanced technologies into everyday pathology workflows, which may reduce device and operational costs in the future. AI is particularly transforming the way morphologic diagnoses are automated, notably in cancers like prostate and colorectal, within screening initiatives, albeit challenges such as data privacy issues and algorithmic biases remain. The regulatory environment, shaped by standards from the Food and Drug Administration, Centers for Medicare & Medicaid Services/Clinical Laboratory Improvement Amendments, and College of American Pathologists, is evolving to accommodate these innovations while ensuring safety and reliability. Centers for Medicare & Medicaid Services/Clinical Laboratory Improvement Amendments have issued policies to allow pathologists to review and render diagnoses using digital pathology remotely. Moreover, the introduction of new digital pathology Current Procedural Terminology codes designed to complement existing pathology Current Procedural Terminology codes is facilitating reimbursement processes. Overall, these advancements are heralding a new era in pathology that promises enhanced diagnostic precision and efficiency through digital and AI technologies, potentially improving patient care as well as bolstering educational and research activities.
