Is the time right for a new initiative in mathematical modeling of the lower urinary tract? ICI-RS 2023

被引:1
|
作者
Damaser, Margot S. [1 ,2 ,7 ]
Valentini, Francoise A. [3 ]
Clavica, Francesco [4 ,5 ]
Giarenis, Ilias [6 ]
机构
[1] Cleveland Clin, Dept Biomed Engn, Lerner Res Inst, Cleveland, OH USA
[2] Vet Affairs Med Ctr, Adv Platform Technol Ctr, Louis Stokes Cleveland Dept, Cleveland, OH USA
[3] Sorbonne Univ, Phys Med & Rehabil Dept, Rothschild Hosp, Paris, France
[4] Univ Bern, ARTORG Ctr Biomed Engn Res, Bern, Switzerland
[5] Univ Bern, Bern Univ Hosp, Dept Urol, Inselspital, Bern, Switzerland
[6] Norfolk & Norwich Univ Hosp, Dept UroGynaecol, Norwich, England
[7] Cleveland Clin, Dept Biomed Engn, Lerner Res Inst, 9500 Euclid Ave ND20, Cleveland, OH 44118 USA
关键词
bladder; mathematical modeling; mechanical modeling; nomogram; statistical modeling; urethra; urodynamics; DETRUSOR CONTRACTILITY; PRESSURE-FLOW; SYMPTOMS; BLADDER; WOMEN; MECHANICS; HEALTHY; EVENTS;
D O I
10.1002/nau.25362
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
IntroductionA session at the 2023 International Consultation on Incontinence - Research Society (ICI-RS) held in Bristol, UK, focused on the question: Is the time right for a new initiative in mathematical modeling of the lower urinary tract (LUT)? The LUT is a complex system, comprising various synergetic components (i.e., bladder, urethra, neural control), each with its own dynamic functioning and high interindividual variability. This has led to a variety of different types of models for different purposes, each with advantages and disadvantages.MethodsWhen addressing the LUT, the modeling approach should be selected and sized according to the specific purpose, the targeted level of detail, and the available computational resources. Four areas were selected as examples to discuss: utility of nomograms in clinical use, value of fluid mechanical modeling, applications of models to simplify urodynamics, and utility of statistical models.ResultsA brief literature review is provided along with discussion of the merits of different types of models for different applications. Remaining research questions are provided.ConclusionsInadequacies in current (outdated) models of the LUT as well as recent advances in computing power (e.g., quantum computing) and methods (e.g., artificial intelligence/machine learning), would dictate that the answer is an emphatic "Yes, the time is right for a new initiative in mathematical modeling of the LUT."
引用
收藏
页码:1303 / 1310
页数:8
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