Development of an automated laser drilling algorithm to compare stone ablation patterns from different laser pulse modes.
World J Urol
; 40(11): 2701-2705, 2022 Nov.
Article
em En
| MEDLINE
| ID: mdl-36168004
ABSTRACT
PURPOSE:
To develop a novel automated three-dimensional (3D) laser drilling algorithm to further investigate laser-stone interaction with different laser pulse modes. Comparison of post-ablative lattice architecture combined with mass of stone ablated can provide a more complete understanding of differences between pulse mode.METHODS:
A 3D positioner (securing laser fiber) was programmed to create a 5 × 5 grid of drill holes spaced 1 mm apart on 155 cylindrical BegoStones. Beginning 0.5 mm above the stone surface, the laser fiber was activated and advanced 2 mm toward and into the stone for all 25 points. Four trials for each pulse mode [short pulse (SP), long pulse (LP), Moses Contact (MC), Moses Distance (MD)] were completed. Outcome measures were assessment of lattice preservation and mass of ablated stone.RESULTS:
MC exhibited the greatest lattice preservation and least stone mass ablated (50.5 ± 2.2 mg). SP (69.4 ± 4.3 mg) and MD (70.0 ± 2.6 mg) had the greatest lattice destruction and stone mass ablated. The differences in stone ablated between MC and MD (p = 0.00003), MC and SP (p = 0.0002), and LP and MD (p = 0.004) were statistically significant.CONCLUSIONS:
Consistent quantitative and qualitative differences between pulse modes were observed with a novel automated 3D laser drilling algorithm applied to BegoStone. The laser drilling algorithm developed here can be used to further enhance mechanistic understanding of laser-stone interactions and facilitate selection of appropriate laser pulse modes to balance precision and efficiency across the range of laser lithotripsy techniques.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Litotripsia a Laser
/
Terapia a Laser
/
Lasers de Estado Sólido
Tipo de estudo:
Prognostic_studies
/
Qualitative_research
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article