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A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation

INTRODUCTION: Gaining access to the kidney is crucial step in percutaneous nephrolithotomy (PCNL); it has a steep learning curve. OBJECTIVE: Describe the mathematical method to predict renal puncture angle and distance based on preoperative computed tomography (CT) measurements. Then evaluating how...

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Autores principales: Salem, Shady Mohamed, Aldousari, Saad A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252774/
https://www.ncbi.nlm.nih.gov/pubmed/37304503
http://dx.doi.org/10.4103/ua.ua_82_22
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author Salem, Shady Mohamed
Aldousari, Saad A
author_facet Salem, Shady Mohamed
Aldousari, Saad A
author_sort Salem, Shady Mohamed
collection PubMed
description INTRODUCTION: Gaining access to the kidney is crucial step in percutaneous nephrolithotomy (PCNL); it has a steep learning curve. OBJECTIVE: Describe the mathematical method to predict renal puncture angle and distance based on preoperative computed tomography (CT) measurements. Then evaluating how it correlates with measured values. PATIENTS AND METHODS: The study was prospectively designed. After ethical committee approval, the study uses data from preoperative CT to construct a triangle so we can estimate puncture depth and angle. A triangle of three points, the first is point of entry to the pelvicalyceal system (PCS), the second is point on the skin perpendicular to it, and the third where the needle punctures the skin. The needle travel is estimated using the Pythagorean theorem and puncture angle using the inverse sine function. We evaluated 40 punctures in 36 PCNL procedures. After PCS puncture using fluoroscopy-guided triangulation, we measured the needle travel distance and angle to the horizontal plane. Then compared the results with mathematically estimated values. RESULTS: We targeted posterior lower calyx in 21 (70%) case. The correlation between measured and estimated needle travel distance with Rho coefficient of 0.76 with P < 0.001. The mean difference between the estimated and the measured needle travel was – 0.37 ± 1.2 cm (−2.6–1.6). Measured and estimated angle correlate with Rho coefficient of 0.77 and P < 0.001. The mean difference between the estimated and the measured angle was 2° ± 8° (−21°–16°). CONCLUSION: Mathematical estimation of needle depth and angle for gaining access to the kidney correlates well with measured values.
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spelling pubmed-102527742023-06-10 A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation Salem, Shady Mohamed Aldousari, Saad A Urol Ann Original Article INTRODUCTION: Gaining access to the kidney is crucial step in percutaneous nephrolithotomy (PCNL); it has a steep learning curve. OBJECTIVE: Describe the mathematical method to predict renal puncture angle and distance based on preoperative computed tomography (CT) measurements. Then evaluating how it correlates with measured values. PATIENTS AND METHODS: The study was prospectively designed. After ethical committee approval, the study uses data from preoperative CT to construct a triangle so we can estimate puncture depth and angle. A triangle of three points, the first is point of entry to the pelvicalyceal system (PCS), the second is point on the skin perpendicular to it, and the third where the needle punctures the skin. The needle travel is estimated using the Pythagorean theorem and puncture angle using the inverse sine function. We evaluated 40 punctures in 36 PCNL procedures. After PCS puncture using fluoroscopy-guided triangulation, we measured the needle travel distance and angle to the horizontal plane. Then compared the results with mathematically estimated values. RESULTS: We targeted posterior lower calyx in 21 (70%) case. The correlation between measured and estimated needle travel distance with Rho coefficient of 0.76 with P < 0.001. The mean difference between the estimated and the measured needle travel was – 0.37 ± 1.2 cm (−2.6–1.6). Measured and estimated angle correlate with Rho coefficient of 0.77 and P < 0.001. The mean difference between the estimated and the measured angle was 2° ± 8° (−21°–16°). CONCLUSION: Mathematical estimation of needle depth and angle for gaining access to the kidney correlates well with measured values. Wolters Kluwer - Medknow 2023 2023-01-16 /pmc/articles/PMC10252774/ /pubmed/37304503 http://dx.doi.org/10.4103/ua.ua_82_22 Text en Copyright: © 2023 Urology Annals https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Salem, Shady Mohamed
Aldousari, Saad A
A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title_full A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title_fullStr A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title_full_unstemmed A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title_short A mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: Description and validation
title_sort mathematical method to estimate angle and distance for percutaneous renal puncture based on computed tomography data: description and validation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252774/
https://www.ncbi.nlm.nih.gov/pubmed/37304503
http://dx.doi.org/10.4103/ua.ua_82_22
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