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Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time

OBJECTIVE: Develop a mesh model to define a new “index amount of stone” to evaluate calculus and predict lithotripsy time. METHODS: The stones were divided into target units with diameter of 5 mm by the mesh from x, y and z directions, and the cross-sectional areas between units were calculated as a...

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Autores principales: Wei, Bingjian, Fu, Yang, Ma, Aidi, Hong, Li, Wang, Yunyan, Gu, Shuo, Ji, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499979/
https://www.ncbi.nlm.nih.gov/pubmed/37440004
http://dx.doi.org/10.1007/s11255-023-03697-9
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author Wei, Bingjian
Fu, Yang
Ma, Aidi
Hong, Li
Wang, Yunyan
Gu, Shuo
Ji, Lu
author_facet Wei, Bingjian
Fu, Yang
Ma, Aidi
Hong, Li
Wang, Yunyan
Gu, Shuo
Ji, Lu
author_sort Wei, Bingjian
collection PubMed
description OBJECTIVE: Develop a mesh model to define a new “index amount of stone” to evaluate calculus and predict lithotripsy time. METHODS: The stones were divided into target units with diameter of 5 mm by the mesh from x, y and z directions, and the cross-sectional areas between units were calculated as amount of stone as a new index to evaluate calculus. Design a prospective study with 112 cases of percutaneous nephrolithotomy to verify the reliability of this index, and to compare the accuracy of the quantity, volume and maximum diameter of stones in predicting the time of lithotripsy. RESULTS: Amount of stone (Q) is reliable. The lithotripsy time was significantly correlated with the amount of stone, volume and maximum diameter of the stone (p < 0.01). The three regression equations were valid. The linear fit in the amount group was larger than that in the volume group, and further larger than that in the maximum diameter group, with R(2) values of 0.716, 0.661 and 0.471, respectively. CONCLUSIONS: It is more accurate and convenient to use amount of stone to evaluate calculus, which can be used to predict the lithotripsy time.
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spelling pubmed-104999792023-09-15 Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time Wei, Bingjian Fu, Yang Ma, Aidi Hong, Li Wang, Yunyan Gu, Shuo Ji, Lu Int Urol Nephrol Urology - Original Paper OBJECTIVE: Develop a mesh model to define a new “index amount of stone” to evaluate calculus and predict lithotripsy time. METHODS: The stones were divided into target units with diameter of 5 mm by the mesh from x, y and z directions, and the cross-sectional areas between units were calculated as amount of stone as a new index to evaluate calculus. Design a prospective study with 112 cases of percutaneous nephrolithotomy to verify the reliability of this index, and to compare the accuracy of the quantity, volume and maximum diameter of stones in predicting the time of lithotripsy. RESULTS: Amount of stone (Q) is reliable. The lithotripsy time was significantly correlated with the amount of stone, volume and maximum diameter of the stone (p < 0.01). The three regression equations were valid. The linear fit in the amount group was larger than that in the volume group, and further larger than that in the maximum diameter group, with R(2) values of 0.716, 0.661 and 0.471, respectively. CONCLUSIONS: It is more accurate and convenient to use amount of stone to evaluate calculus, which can be used to predict the lithotripsy time. Springer Netherlands 2023-07-13 2023 /pmc/articles/PMC10499979/ /pubmed/37440004 http://dx.doi.org/10.1007/s11255-023-03697-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Urology - Original Paper
Wei, Bingjian
Fu, Yang
Ma, Aidi
Hong, Li
Wang, Yunyan
Gu, Shuo
Ji, Lu
Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title_full Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title_fullStr Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title_full_unstemmed Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title_short Development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
title_sort development of a novel mesh model to define a new index “amount of stone” to evaluate calculus and predicting the lithotripsy time
topic Urology - Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499979/
https://www.ncbi.nlm.nih.gov/pubmed/37440004
http://dx.doi.org/10.1007/s11255-023-03697-9
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