Hybrid Bladder Phantom to Validate Next-Generation Optical Wearables for Neurogenic Bladder Volume Monitoring
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose: The development of optics-based wearables for bladder volume monitoring has emerged as a significant topic in recent years. Given the innovative nature of this technology, there is currently no bladder phantom available to effectively validate these devices against more established gold standards, such as ultrasound. In this study, we showcase and demonstrate the performance of our hybrid bladder phantom by using an optical device and making comparisons with ultrasound. Methods: A series of validation tests, including phantom repeatability, ultrasound scanning, and an optical test, were performed. A near-infrared optical device was utilized to conduct diffuse optical spectroscopy (DOS). Machine learning models were employed to construct predictive models of volume using optical signals. Results: The size and position of an embedded balloon, serving as an analog for the bladder, were shown to be consistent when infused with 100 mL to 350 mL of water during repeatability testing. For DOS data, we present 7 types of machine learningbased models based on different optical signals. The 2 best-performing models demonstrated an average absolute volume error ranging from 12.7 mL to 19.0 mL. Conclusions: In this study, we introduced a hybrid bladder phantom designed for the validation of near-infrared spectroscopy-based bladder monitoring devices in comparison with ultrasound techniques. By offering a reproducible and robust validation tool, we aim to support the advancement of next-generation optical wearables for bladder volume monitoring.
Abstract
Purpose: The development of optics-based wearables for bladder volume monitoring has emerged as a significant topic in recent years. Given the innovative nature of this technology, there is currently no bladder phantom available to effectively validate these devices against more established gold standards, such as ultrasound. In this study, we showcase and demonstrate the performance of our hybrid bladder phantom by using an optical device and making comparisons with ultrasound. Methods: A series of validation tests, including phantom repeatability, ultrasound scanning, and an optical test, were performed. A near-infrared optical device was utilized to conduct diffuse optical spectroscopy (DOS). Machine learning models were employed to construct predictive models of volume using optical signals. Results: The size and position of an embedded balloon, serving as an analog for the bladder, were shown to be consistent when infused with 100 mL to 350 mL of water during repeatability testing. For DOS data, we present 7 types of machine learningbased models based on different optical signals. The 2 best-performing models demonstrated an average absolute volume error ranging from 12.7 mL to 19.0 mL. Conclusions: In this study, we introduced a hybrid bladder phantom designed for the validation of near-infrared spectroscopy-based bladder monitoring devices in comparison with ultrasound techniques. By offering a reproducible and robust validation tool, we aim to support the advancement of next-generation optical wearables for bladder volume monitoring.
참고문헌 (30)
- Manack A, "Epidemiology and healthcare utilization of neurogenic bladder patients in a us claims database : epidemiology of neurogenic bladder", Neurourol Urodyn, 30, pp.395~401 (2011)
- Dorsher PT, "Neurogenic bladder", Adv Urol, 2012, pp.816274~ (2012)
- Wheeler TL, "Translating promising strategies for bowel and bladder management in spinal cord injury", Exp Neurol, 306, pp.169~176 (2018)
- Byun SS, "Accuracy of bladder volume determinations by ultrasonography : are they accurate over entire bladder volume range?", Urology, 62, pp.656~660 (2003)
- Yip SK, "Determining the reliability of ultrasound measurements and the validity of the formulae for ultrasound estimation of postvoid residual bladder volume in postpartum women", Neurourol Urodyn, 22, pp.255~260 (2003)
- Fechner P, "Near-infrared spectroscopy for bladder monitoring : a machine learning approach", ACM Trans Manage Inf Syst, 14, pp.1~23 (2023)
- 강병일, "Advancing Patient Care: Innovative Use of Near-Infrared Spectroscopy for Monitoring Urine Volume in Neurogenic Bladder", International Neurourology Journal, 27, pp.27~33 (2023), 대한배뇨장애요실금학회[DOI]
- Van Leuteren PG, "SENS-U : validation of a wearable ultrasonic bladder monitor in children during urodynamic studies", J Pediatr Urol, 14, pp.569.e1~569.e6 (2018)
- Ferrari M, "Principles, techniques, and limitations of near infrared spectroscopy", Can J Appl Physiol, 29, pp.463~487 (2004)
- Shah N, "Noninvasive functional optical spectroscopy of human breast tissue", Proc Natl Acad Sci USA, 98, pp.4420~4425 (2001)
- Ohmae E, "Comparison of lipid and water contents by time-domain diffuse optical spectroscopy and dual-energy computed tomography in breast cancer patients", Appl Sci, 9, pp.1482~ (2019)
- Molavi B, "Noninvasive optical monitoring of bladder filling to capacity using a wireless near infrared spectroscopy device", IEEE Trans Biomed Circuits Syst, 8, pp.325~333 (2014)
- Fong DD, "Restoring the sense of bladder fullness for spinal cord injury patients", Smart Health, 9-10, pp.12~22 (2018)
- Pham TH, "Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy", Rev Sci Instrum, 71, pp.2500~2513 (2000)
- Bevilacqua F, "Broadband absorption spectroscopy in turbid media by combined frequency-domain and steady-state methods", Appl Opt, 39, pp.6498~6507 (2000)
- Cerussi AE, "Tissue phantoms in multicenter clinical trials for diffuse optical technologies", Biomed Opt Express, 3, pp.966~971 (2012)
- Zell K, "Acoustical properties of selected tissue phantom materials for ultrasound imaging", Phys Med Biol, 52, pp.N475~N484 (2007)
- Ohmae E, "Stable tissue-simulating phantoms with various water and lipid contents for diffuse optical spectroscopy", Biomed Opt Express, 9, pp.5792~5808 (2018)
- Özdemir M, "Investigating ballistic gelatin based phantom properties for ultrasound training", World Congress on Medical Physics and Biomedical Engineering 2018, pp.789~793 (2018)
- Morrow DS, "Cost-effective, reusable, leak-resistant ultrasound-guided vascular access trainer", J Emerg Med, 49, pp.313~317 (2015)
- Cerussi A, "In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy", J Biomed Opt, 11, pp.044005~ (2006)
- Ganesan G, "Diffuse optical spectroscopic imaging of subcutaneous adipose tissue metabolic changes during weight loss", Int J Obes, 40, pp.1292~1300 (2016)
- Warren RV, "Noninvasive optical imaging of resistance training adaptations in human muscle", J Biomed Opt, 22, pp.1~9 (2017)
- Lam JH, "Non-invasive dual-channel broadband diffuse optical spectroscopy of massive hemorrhage and resuscitative endovascular balloon occlusion of the aorta(REBOA)in swine", Mil Med, 183(suppl_1), pp.150~156 (2018)
- Ambrosius WT, "Topics in biostatistics", pp.528~ (2007), Humana Press
- [URL]
- 은성종, "Dynamics in Neurourology", International Neurourology Journal, 27, pp.1~2 (2023), 대한배뇨장애요실금학회[DOI]
- 김의선, "Artificial Intelligence-Based Speech Analysis System for Medical Support", International Neurourology Journal, 27(2), pp.99~105 (2023), 대한배뇨장애요실금학회[DOI]
- Anvery N, "Utility of high-resolution ultrasound in measuring subcutaneous fat thickness", Lasers Surg Med, 54, pp.1189~1197 (2022)
- Rolfe EDL, "Ultrasound measurements of visceral and subcutaneous abdominal thickness to predict abdominal adiposity among older men and women", Obesity, 18, pp.625~631 (2010)