Three-Dimensional (3D) Morphometric Analysis of Plegic and Healthy Feet of Patients with Stroke
Abstract views: 179 / PDF downloads: 206
DOI:
https://doi.org/10.58600/eurjther1701Keywords:
Stroke, 3D surface scanning, Plegic foot, Foot morphologyAbstract
Objective: This study aimed to quantitatively assess the changes in foot morphology in stroke patients using 3D scanning and focused on parameters like foot volume, area, and the root mean square difference (RMS) values. The objective was to enhance our understanding of post-stroke foot morphology and its potential relevance for rehabilitation, especially in designing orthotic supports and specialized footwear for stroke patients.
Methods: Our study involved fourteen right hemiplegia patients and twenty healthy subjects. Stroke patients were assessed using international scales. We utilized a 3D scanning device to digitize and examine the differences in foot morphology between hemiplegic and healthy subjects, analyzing the data on a computer platform.
Results: In the context of post-stroke individuals with hemiplegic feet, our morphometric analysis revealed notable differences in foot area and foot volume when compared to their healthy counterparts. These distinctions extended to linear measurements encompassing foot length, foot width, instep height, bimalleolar width, and ball width. Significantly, RMS exhibited a substantial increase in the patient cohort compared to the healthy group (p<0.05). Our investigation also established correlations between these standing morphometric parameters and RMS alterations, with noteworthy coefficients for various parameters: RMS(Foot Length Difference, 0.41), RMS(Foot Width Difference, 0.45), RMS(Instep Height Difference, 0.58), RMS(Ball Width Difference, 0.58), RMS(Bimalleolar Width Difference, 0.19), RMS(Volume Difference, 0.74), and RMS(Area Difference, 0.62).
Conclusion: This study suggests incorporating RMS values as a novel parameter in the evaluation process. We anticipate that these findings will have practical implications, particularly in designing orthotic supports, specialized footwear for stroke patients, and the formulation of tailored rehabilitation programs within clinical settings.
Metrics
References
Duncan PW, Zorowitz R, Bates B, Choi JY, Glasberg JJ, Graham GD, Katz RC, Lamberty K, Reker D (2005) Management of Adult Stroke Rehabilitation Care: a clinical practice guideline. Stroke 36:e100-143. https://doi.org/10.1161/01.STR.0000180861.54180.FF
Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA, Barker-Collo S, Moran AE, Sacco RL, Truelsen T, Davis S, Pandian JD, Naghavi M, Forouzanfar MH, Nguyen G, Johnson CO, Vos T, Meretoja A, Murray CJ, Roth GA, Group GBDW, Group GBDSPE (2015) Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: The GBD 2013 Study. Neuroepidemiology 45:161-176. https://doi.org/10.1159/000441085
Pohl M, Mehrholz J, Ritschel C, Ruckriem S (2002) Speed-dependent treadmill training in ambulatory hemiparetic stroke patients: a randomized controlled trial. Stroke 33:553-558. https://doi.org/10.1161/hs0202.102365
De Quervain IA, Simon SR, Leurgans S, Pease WS, McAllister D (1996) Gait pattern in the early recovery period after stroke. J Bone Joint Surg Am 78:1506-1514. https://doi.org/10.2106/00004623-199610000-00008
Hachisuka K, Umezu Y, Ogata H (1997) Disuse muscle atrophy of lower limbs in hemiplegic patients. Arch Phys Med Rehabil 78:13-18. https://doi.org/10.1016/s0003-9993(97)90003-4
May Hİ, Özdolap Ş, Mengi A, Sarıkaya S (2020) The effect of mirror therapy on lower extremity motor function and ambulation in post-stroke patients: A prospective, randomized-controlled study. Turk J Phys Med Rehabil 66:154. https://doi.org/10.5606/tfrtd.2020.2719
Frizzell JP (2005) Acute stroke: pathophysiology, diagnosis, and treatment. AACN Clin Issues 16:421-440; quiz 597-428. https://doi.org/10.1097/00044067-200510000-00002
Brunnstrom S (1966) Motor testing procedures in hemiplegia: based on sequential recovery stages. Phys Ther 46:357-375. https://doi.org/10.1093/ptj/46.4.357
Wang C-S (2010) An analysis and evaluation of fitness for shoe lasts and human feet. J Compind 61:532-540. https://doi.org/10.1016/j.compind.2010.03.003
Krishan K, Sharma A (2007) Estimation of stature from dimensions of hands and feet in a North Indian population. J Forensic Leg Med 14:327-332. https://doi.org/10.1016/j.jcfm.2006.10.008
McPoil TG, Vicenzino B, Cornwall MW, Collins N (2009) Can foot anthropometric measurements predict dynamic plantar surface contact area? J Foot Ankle Res 2:28. https://doi.org/10.1186/1757-1146-2-28
Lee Y-C, Lin G, Wang M-JJ (2014) Comparing 3D foot scanning with conventional measurement methods. J Foot Ankle Res 7:1-10. https://doi.org/10.1186/s13047-014-0044-7
Li P-L, Yick K-L, Ng S-P, Yip J (2016) Foot anthropometric measurements of Hong Kong elderly: implications for footwear design. JFBIM 9:133-143. https://doi.org/10.3993/jfbim00237
Telfer S, Woodburn J (2010) The use of 3D surface scanning for the measurement and assessment of the human foot. J Foot Ankle Res 3:19. https://doi.org/10.1186/1757-1146-3-19
Kouchi M, Mochimaru M, Tsuzuki K, Yokoi T (1999) Interobserver errors in anthrofometry. J Hum Ergol 28:15-24. https://doi.org/10.11183/jhe1972.28.15
Noldner LK, Edgar HJ (2013) 3D representation and analysis of enthesis morphology. J Phys Anthropol 152:417-424. https://doi.org/10.1002/ajpa.22367
Solanki D, Lahiri U (2018) Design of instrumented shoes for gait characterization: a usability study with healthy and post-stroke hemiplegic individuals. Frontiers in neuroscience 12:459. https://doi.org/10.3389/fnins.2018.00459
Cikajlo I, Osrečki K, Burger H (2016) The effects of different types of ankle-foot orthoses on postural responses in individuals with walking impairments. Int J Rehabil Res 39:313-319. https://doi.org/10.1097/MRR.0000000000000189
Maeshima S, Okazaki H, Okamoto S, Mizuno S, Asano N, Maeda H, Masaki M, Matsuo H, Tsunoda T, Sonoda S (2015) A comparison of knee-ankle-foot orthoses with either metal struts or an adjustable posterior strut in hemiplegic stroke patients. J Stroke Cerebrovasc Dis 24:1312-1316. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.02.003
Vinci P, Gargiulo P (2008) Poor compliance with ankle-foot-orthoses in Charcot-Marie-Tooth disease. Eur J Phys Rehabil Med 44:27-31.
Zuccarino R, Anderson KM, Shy ME, Wilken JM (2021) Satisfaction with ankle foot orthoses in individuals with Charcot‐Marie‐Tooth disease. Muscle & nerve 63:40-45. https://doi.org/10.1002/mus.27027
Yıldırım Y, Tombak K, Karaşin S, Yüksel İ, Nur AH, Ozsoy U (2021) Assessment of the reliability of hand-held surface scanner in the evaluation of adolescent idiopathic scoliosis. Eur Spine J 30:1872-1880. https://doi.org/10.1007/s00586-021-06769-5
Ozsoy U (2016) Comparison of different calculation methods used to analyze facial soft tissue asymmetry: global and partial 3-dimensional quantitative evaluation of healthy subjects. J Oral and Maxillofac Surg 74:1847. e1841-1847. e1849. https://doi.org/10.106/j.joms.2016.05.012
Chiroma SM, Philip J, Attah OO, Dibal NI (2015) Comparison of the foot height, length, breadth and foot types between males and females Ga’anda people, Adamawa, Nigeria. IOSR J Dent Med Sci 14:89-93. https//doi.org/ 10.9790/0853-14818993
Liu Z, Zhang P, Yan M, Xie Y, Huang G (2019) Additive manufacturing of specific ankle-foot orthoses for persons after stroke: A preliminary study based on gait analysis data. Math Biosci Eng 16:8134-8143. https//doi.org/10.3934/mbe.2019410
Saghazadeh M, Kitano N, Okura T (2015) Gender differences of foot characteristics in older Japanese adults using a 3D foot scanner. J Foot Ankle Res 8:1-7. https://doi.org/10.1186/s13047-015-0087-4
Wang JZ, Lillia J, Farhan M, Bi L, Kim J, Burns J, Cheng TL (2021) Digital mapping of a manual fabrication method for paediatric ankle–foot orthoses. Sci Rep 11:19068. https://doi.org/10.1038/s41598-021-98786-z
Mickle KJ, Munro BJ, Lord SR, Menz HB, Steele JR (2010) Foot shape of older people: implications for shoe design. Footwear Sci 2:131-139. https://doi.org/10.1080/19424280.2010.487053
Yamashita T, Yamashita K, Sato M, Kawasumi M, Ata S (2021) Foot-surface-structure analysis using a smartphone-based 3D foot scanner. Med Eng Phys 95:90-96. https://doi.org/10.1006/j.medengphy.2021.08.001
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 European Journal of Therapeutics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.