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"Severity"

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Pain & Musculoskeletal rehabilitation

Ultrasonographic Assessment of the Safe Zone for Carpal Tunnel Intervention: A Comparison Between Healthy Individuals and Patients With Carpal Tunnel Syndrome
Byung Heon Kang, Sang Rok Woo, Hyun Jin Park, Seong Yun Chung, Seok Kang, Seong-Ho Jeong, Joon Shik Yoon
Ann Rehabil Med 2022;46(6):284-291.   Published online December 31, 2022
DOI: https://doi.org/10.5535/arm.22123
Objective
To compare transverse and longitudinal safe zones using ultrasonography between healthy individuals and patients with carpal tunnel syndrome (CTS).
Methods
This was a prospective observational case-control study. Forty wrists from 20 healthy individuals and 40 wrists from 24 patients with CTS were examined. Patients with CTS were classified into three groups (mild, moderate, and severe CTS) based on electrodiagnostic findings. Using ultrasonography, we measured the distance between the median nerve and ulnar vessels to identify the transverse safe zone, and between the distal flexor retinaculum and superficial palmar artery arch to identify the longitudinal safe zone.
Results
The transverse and longitudinal safe zones were significantly different between participants with CTS and those without CTS. The transverse safe zone significantly differed between the mild and severe CTS groups, while the longitudinal safe zone was not significantly different between the groups. The cross-sectional area of the median nerve negatively correlated with the transverse and longitudinal safe zones.
Conclusion
Transverse and longitudinal safe zones were narrower in patients with CTS than in the healthy group. A significant difference was observed between patients with mild CTS and those with severe CTS. Furthermore, the cross-sectional area of the median nerve was directly proportional to the degree of narrowing of the transverse and longitudinal safe zones.

Citations

Citations to this article as recorded by  
  • Ultrasound-guided anterograde Carpal Tunnel release: Anatomical landmarks of the distal boundary – A cadaveric study
    Marion Mutschler, Bérénice Moutinot, Olivier Marès
    Hand Surgery and Rehabilitation.2026; 45(1): 102562.     CrossRef
  • The CLEAR procedure: A five-step safety framework for ultrasound-guided carpal tunnel release
    JeanMichel Cognet, Jasper De Geyter
    Hand Surgery and Rehabilitation.2026; 45(1): 102584.     CrossRef
  • Die ultraschallgesteuerte Karpaltunnelspaltung
    Esther Vögelin
    Die Orthopädie.2026;[Epub]     CrossRef
  • Ultrasound-Guided Partial Release of Transverse Carpal Ligament in Severe Carpal Tunnel Syndrome Using a Curved Needle
    Nishith Kumar, Upinderjeet Singh, Dharmendra Kumar Singh, Alfa Shamim Saifi
    Indian Journal of Radiology and Imaging.2025; 35(03): 490.     CrossRef
  • Ultrasound-guided release of carpal tunnel syndrome — Anterograde technique
    Carla Ricardo Nunes, Olivier Marès, Vincent Martinel
    Hand Surgery and Rehabilitation.2025; 44: 102091.     CrossRef
  • Ultrasonographic Assessment of Median Nerve and Carpal Tunnel Variations
    Eric J. Super, Marin S. Smith, Matthew E. Miller, Jay Smith, Xiaoning Yuan
    Journal of Ultrasound in Medicine.2025; 44(10): 1819.     CrossRef
  • Ultrasound-guided release of the fibro-osseous tunnels around the wrist and hand: a technical review
    Nishith Kumar, Alfa Shamim Saifi, Upinderjeet Singh, Divesh Jalan, Skand Sinha, Dharmendra Kumar Singh
    British Journal of Radiology.2025; 98(1176): 2011.     CrossRef
  • Body composition analysis as a comprehensive method for assessing the effectiveness of medical rehabilitation for lymphedema associated with radical breast cancer treatment
    Valeriia A. Vasileva, Tatiana V. Konchugova, Tatiana V. Apkhanova, Olga M. Musaeva, Valentina A. Morunova, Tatiana V. Marfina, Vladislav I. Koptev, Larisa A. Marchenkova
    Bulletin of Rehabilitation Medicine.2025; 24(6): 42.     CrossRef
  • USG-Guided Percutaneous Thread Carpal Tunnel Release
    Nishith Kumar, Alfa Shamim Saifi, Upinderjeet Singh, Dharmendra Kumar Singh
    Indian Journal of Radiology and Imaging.2024; 34(04): 745.     CrossRef
  • Clinical-applied anatomy of the carpal tunnel regarding mini-invasive carpal tunnel release
    Peter Kaiser, Gernot Schmidle, Simone Bode, Ulrike Seeher, Hanne-Rose Honis, Bernhard Moriggl, Elisabeth Pechriggl, Hannes Stofferin, Marko Konschake
    Archives of Orthopaedic and Trauma Surgery.2024; 144(11): 4753.     CrossRef
  • Ultrasound-guided interventions in primary carpal tunnel syndrome: perineural injection to thread carpal tunnel release
    Nishith Kumar, Shishir Kumar Chandan, Divesh Jalan, Skand Sinha, Binita Jaiswal, Dharmendra Kumar Singh
    The British Journal of Radiology.2023;[Epub]     CrossRef
  • 7,505 View
  • 126 Download
  • 10 Web of Science
  • 11 Crossref
Novel Method of Classification in Knee Osteoarthritis: Machine Learning Application Versus Logistic Regression Model
Jung Ho Yang, Jae Hyeon Park, Seong-Ho Jang, Jaesung Cho
Ann Rehabil Med 2020;44(6):415-427.   Published online December 31, 2020
DOI: https://doi.org/10.5535/arm.20071
Objective
To present new classification methods of knee osteoarthritis (KOA) using machine learning and compare its performance with conventional statistical methods as classification techniques using machine learning have recently been developed.
Methods
A total of 84 KOA patients and 97 normal participants were recruited. KOA patients were clustered into three groups according to the Kellgren-Lawrence (K-L) grading system. All subjects completed gait trials under the same experimental conditions. Machine learning-based classification using the support vector machine (SVM) classifier was performed to classify KOA patients and the severity of KOA. Logistic regression analysis was also performed to compare the results in classifying KOA patients with machine learning method.
Results
In the classification between KOA patients and normal subjects, the accuracy of classification was higher in machine learning method than in logistic regression analysis. In the classification of KOA severity, accuracy was enhanced through the feature selection process in the machine learning method. The most significant gait feature for classification was flexion and extension of the knee in the swing phase in the machine learning method.
Conclusion
The machine learning method is thought to be a new approach to complement conventional logistic regression analysis in the classification of KOA patients. It can be clinically used for diagnosis and gait correction of KOA patients.

Citations

Citations to this article as recorded by  
  • Knee osteoarthritis screening using multimodal gait signals transformed via Gramian angular field and integrated by a deep learning model
    Kai Sun, Zhenfu Huang, Minghui Hang, Wang Lu, Junjun Zhu
    Medical Engineering & Physics.2026; 147(1): 015002.     CrossRef
  • Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model
    Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon
    Knee Surgery & Related Research.2025;[Epub]     CrossRef
  • Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns
    Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho
    PeerJ Computer Science.2025; 11: e2857.     CrossRef
  • A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders
    Cosmina-Mihaela Rosca, Adrian Stancu
    Applied Sciences.2025; 15(10): 5442.     CrossRef
  • Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis
    Kevin N. Dibbern, Maddalena G. Krzak, Alejandro Olivas, Mark V. Albert, Joseph J. Krzak, Karen M. Kruger
    Bioengineering.2025; 12(6): 591.     CrossRef
  • Predicting Knee Cartilage Degradation and Osteoarthritis Onset Using a Hybrid Mathematical Modeling and Machine Learning Framework
    F. Mekrane, R. Ouladsine, A. Barkaoui, R. Ghandour
    IEEE Access.2025; 13: 107844.     CrossRef
  • AI-Based Severity Classification of Dementia Using Gait Analysis
    Gangmin Moon, Jaesung Cho, Hojin Choi, Yunjin Kim, Gun-Do Kim, Seong-Ho Jang
    Sensors.2025; 25(19): 6083.     CrossRef
  • Machine learning vs. traditional logistic regression: predictive performance and risk factor identification for child nutritional outcome in Pakistan
    Muhammad Shahid, Muhammad Ali Yahya, Jiayi Song, Hafiz Muhammad Naveed, Serhat Yuksel, Hasan Dincer, Muhammad Ali
    BMC Public Health.2025;[Epub]     CrossRef
  • Augmented Gait Classification: Integrating YOLO, CNN–SNN Hybridization, and GAN Synthesis for Knee Osteoarthritis and Parkinson’s Disease
    Houmem Slimi, Ala Balti, Mounir Sayadi, Mohamed Moncef Ben Khelifa
    Signals.2025; 6(4): 64.     CrossRef
  • Functional data analysis of ground reaction forces combined with clinical measures for early knee osteoarthritis detection
    Elisa Aragón-Basanta, Alvaro Page, Guillermo Ayala, Enrique Viosca-Herrero, Ana Alabajos-Cea, Luz Herrero-Manley
    Scientific Reports.2025;[Epub]     CrossRef
  • CERAD-NAB and flexible battery based neuropsychological differentiation of Alzheimer’s dementia and depression using machine learning approaches
    Clara Dominke, Alina Maria Fischer, Timo Grimmer, Janine Diehl-Schmid, Thomas Jahn
    Aging, Neuropsychology, and Cognition.2024; 31(2): 221.     CrossRef
  • Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers
    Wei Zeng, Limin Ma, Yu Zhang
    Multimedia Tools and Applications.2024; 83(4): 11977.     CrossRef
  • DETECTION OF KNEE OSTEOARTHRITIS BASED ON CENTER OF PRESSURE DATA AND THE BAT ALGORITHM
    MAHRAD POURYOSEF MIANDOAB, MOHAMMED N. ASHTIANI, ROOZBEH ABEDINI-NASSAB, SEYED MOHAMMAD REZA AKRAMI
    Journal of Mechanics in Medicine and Biology.2024;[Epub]     CrossRef
  • Inertial measurement unit sensor-based gait analysis in adults and older adults: A cross-sectional study
    Dong Hyun Yoon, Jeong-Hyun Kim, Kyuwon Lee, Jae-Sung Cho, Seong-Ho Jang, Shi-Uk Lee
    Gait & Posture.2024; 107: 212.     CrossRef
  • Classification of inertial sensor‐based gait patterns of orthopaedic conditions using machine learning: A pilot study
    Constanze Dammeyer, Corina Nüesch, Rosa M. S. Visscher, Yong K. Kim, Petros Ismailidis, Matthias Wittauer, Karl Stoffel, Yves Acklin, Christian Egloff, Cordula Netzer, Annegret Mündermann
    Journal of Orthopaedic Research.2024; 42(7): 1463.     CrossRef
  • Gait classification of knee osteoarthritis patients using shoe-embedded internal measurement units sensor
    Ahmed Raza, Yusuke Sekiguchi, Haruki Yaguchi, Keita Honda, Kenichiro Fukushi, Chenhui Huang, Kazuki Ihara, Yoshitaka Nozaki, Kentaro Nakahara, Shin-Ichi Izumi, Satoru Ebihara
    Clinical Biomechanics.2024; 117: 106285.     CrossRef
  • Explainable Deep-Learning-Based Gait Analysis of Hip–Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression
    Yong-Gyun Kim, Sungjoon Kim, Jae Hyeon Park, Seung Yang, Minkyu Jang, Yeo Joon Yun, Jae-sung Cho, Sungmin You, Seong-Ho Jang
    Sensors.2024; 24(14): 4504.     CrossRef
  • Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis
    Rabé Andersson, Javier Bermejo-García, Rafael Agujetas, Mikael Cronhjort, José Chilo
    Sensors.2024; 24(15): 4769.     CrossRef
  • Integrative approach to pedobarography and pelvis-trunk motion for knee osteoarthritis detection and exploration of non-radiographic rehabilitation monitoring
    Arnab Sarmah, Lipika Boruah, Satoshi Ito, Subramani Kanagaraj
    Frontiers in Bioengineering and Biotechnology.2024;[Epub]     CrossRef
  • Markerless vision-based knee osteoarthritis classification using machine learning and gait videos
    Slim Ben Hassine, Ala Balti, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi
    Frontiers in Signal Processing.2024;[Epub]     CrossRef
  • Machine learning-based detection of cervical spondylotic myelopathy using multiple gait parameters
    Xinyu Ji, Wei Zeng, Qihang Dai, Yuyan Zhang, Shaoyi Du, Bing Ji
    Biomimetic Intelligence and Robotics.2023; 3(2): 100103.     CrossRef
  • Assessment of blood flow around the knee joint in patients with knee osteoarthritis by color Doppler ultrasound
    Jianan Wu, Ying Li, Xiao Zhang, Jing Liu, Zhihui Qian, Peng Ren, Ruixia Xu, Lei Ren, Luquan Ren
    European Journal of Radiology.2023; 166: 111005.     CrossRef
  • Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural networks
    Wei Zeng, Limin Ma, Yu Zhang
    Multimedia Tools and Applications.2023; 83(7): 21107.     CrossRef
  • Precision oncology: Artificial intelligence, circulating cell‐free DNA, and the minimally invasive detection of pancreatic cancer—A pilot study
    Ray O. Bahado‐Singh, Onur Turkoglu, Buket Aydas, Sangeetha Vishweswaraiah
    Cancer Medicine.2023; 12(19): 19644.     CrossRef
  • Design and development of foot worn piezoresistive sensor for knee pain analysis with supervised machine learning algorithms based on gait pattern
    M. Arumugaraja, B. Padmapriya, S. Poornachandra
    Measurement.2022; 200: 111603.     CrossRef
  • Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
    Ho Seok Lee, Hokyoung Ryu, Shi-Uk Lee, Jae-sung Cho, Sungmin You, Jae Hyeon Park, Seong-Ho Jang
    Sensors.2021; 21(22): 7685.     CrossRef
  • 11,161 View
  • 242 Download
  • 27 Web of Science
  • 26 Crossref
Relationship Between Motor Evoked Potential Response and the Severity of Paralysis in Spinal Cord Injury Patients
Mi-Kyoung Oh, Hye-Ri Kim, Won-Seok Kim, Hyung Ik Shin
Ann Rehabil Med 2017;41(2):211-217.   Published online April 27, 2017
DOI: https://doi.org/10.5535/arm.2017.41.2.211
Objective

To investigate the relationship between motor evoked potential (MEP) response and the severity of motor paralysis, evaluated according to the Korean disability evaluation system in patients with spinal cord injury (SCI).

Methods

We analyzed 192 lower limbs of 96 SCI patients. Lower limbs were classified according to their motor scores, as determined by the International Standards for Neurological Classification of Spinal Cord Injury: motor score <10 (group 1); ≥10 and <15 (group 2); ≥15 and <20 (group 3); and ≥20 (group 4). MEP responses were classified as ‘normal’, ‘delayed’ or ‘absent’, based on their onset latency, which was compared between the different motor score groups.

Results

MEP responses and limb motor scores were highly correlated (p<0.001). There was a significant difference of MEP responses between the motor score groups (p<0.001). MEP response was markedly poorer in motor group 1 (limb motor score <10) than in the other three groups (p<0.0001). However, there were no differences between the three groups with motor scores of 10 or above.

Conclusion

Clinical utility of MEP as a complimentary tool to manual muscle tests could be limited to discriminating motor score groups with severe paralysis, i.e., single lower limb motor power grades of 0 or 1, and from grade 2, 3, and 4, or above, in the Korean disability evaluation system.

Citations

Citations to this article as recorded by  
  • Effects of repetitive transcranial magnetic stimulation on motor ability, neurophysiological changes, mental health, and activities of daily living in spinal cord injury: a systematic review and meta-analysis
    Xing Ye, Yidi Liu, Renyi Liu
    European Spine Journal.2026;[Epub]     CrossRef
  • Transcranial Electrical Motor Evoked Potential in Predicting Positive Functional Outcome of Patients after Decompressive Spine Surgery: Review on Challenges and Recommendations towards Objective Interpretation
    Mohd Redzuan Jamaludin, Khin Wee Lai, Joon Huang Chuah, Muhammad Afiq Zaki, Yan Chai Hum, Yee Kai Tee, Maheza Irna Mohd Salim, Lim Beng Saw, Hong Lin
    Behavioural Neurology.2021; 2021: 1.     CrossRef
  • Blocking of BDNF-TrkB signaling inhibits the promotion effect of neurological function recovery after treadmill training in rats with spinal cord injury
    Xiangzhe Li, Qinfeng Wu, Caizhong Xie, Can Wang, Qinghua Wang, Chuanming Dong, Lu Fang, Jie Ding, Tong Wang
    Spinal Cord.2019; 57(1): 65.     CrossRef
  • Paired associative stimulation after spinal cord injury: who should undergo?
    Eduard Novak, Daminov VD
    International Physical Medicine & Rehabilitation Journal.2018;[Epub]     CrossRef
  • 8,424 View
  • 83 Download
  • 4 Web of Science
  • 4 Crossref
Characteristics of Patients Injured in Road Traffic Accidents According to the New Injury Severity Score
Jung Soo Lee, Yeo Hyung Kim, Jae Sung Yun, Sang Eun Jung, Choong Sik Chae, Min Jae Chung
Ann Rehabil Med 2016;40(2):288-293.   Published online April 25, 2016
DOI: https://doi.org/10.5535/arm.2016.40.2.288
Objective

To investigate the clinical characteristics of patients involved in road traffic accidents according to the New Injury Severity Score (NISS).

Methods

In this study, medical records of 1,048 patients admitted at three hospitals located in different regions between January and December 2014 were retrospectively reviewed. Only patients who received inpatient treatments covered by automobile insurance during the period were included. Accidents were classified as pedestrian, driver, passenger, motorcycle, or bicycle; and the severity of injury was assessed by the NISS.

Results

The proportion of pedestrian traffic accident (TA) was the highest, followed by driver, passenger, motorcycle and bicycle TA. The mean NISS was significantly higher in pedestrian and motorcycle TAs and lower in passenger TA. Analysis of differences in mean hospital length of stay (HLS) according to NISS injury severity revealed 4.97±4.86 days in the minor injury group, 8.91±5.93 days in the moderate injury group, 15.46±11.16 days in the serious injury group, 24.73±17.03 days in the severe injury group, and 30.86±34.03 days in the critical injury group (p<0.05).

Conclusion

The study results indicated that higher NISS correlated to longer HLS, fewer home discharges, and increasing mortality. Specialized hospitals for TA patient rehabilitation are necessary to reduce disabilities in TA patients.

Citations

Citations to this article as recorded by  
  • Distinguishing injury patterns in pedestrian motor vehicle collisions from fall-from-height impacts. Medico-legal implications
    Alshaimma Mahmoud Elmansy, Asmaa F. Sharif, Sohier F. Hasan, Alshimaa Magdy Ammar, Rasha M.A. Nada
    Journal of Forensic and Legal Medicine.2025; 114: 102913.     CrossRef
  • A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports
    Dario Valcamonico, Piero Baraldi, Francesco Amigoni, Enrico Zio
    Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.2024; 238(5): 957.     CrossRef
  • The Effect of Changing the Angle of the Passenger Car Seat Backrest on the Head Trajectories of the 50th Percentile Male Dummy
    Damian Frej
    Sensors.2024; 24(12): 3868.     CrossRef
  • Economic burden of road traffic injuries among hospitalized subjects in a tertiary care center in Bengaluru, India
    Rashmi P Kumar, Farah Naaz Fathima, Twinkle Agrawal, Dominic Misquith, Gopalkrishna Gururaj
    International Journal of Noncommunicable Diseases.2023; 8(1): 21.     CrossRef
  • Estimating the health burden of road traffic injuries in Malawi using an individual-based model
    Robert Manning Smith, Valentina Cambiano, Tim Colbourn, Joseph H. Collins, Matthew Graham, Britta Jewell, Ines Li Lin, Tara D. Mangal, Gerald Manthalu, Joseph Mfutso-Bengo, Emmanuel Mnjowe, Sakshi Mohan, Wingston Ng’ambi, Andrew N. Phillips, Paul Revill,
    Injury Epidemiology.2022;[Epub]     CrossRef
  • Short-term outcome following significant trauma: increasing age per se has only a relatively low impact
    Fabrizio A. Fiumedinisi, Felix Amsler, Thomas Gross
    European Journal of Trauma and Emergency Surgery.2021; 47(6): 1979.     CrossRef
  • Measure of productivity loss due to road traffic accidents in Thailand
    Chaturaphat Chantith, Chompoonuh K. Permpoonwiwat, Bertrand Hamaide
    IATSS Research.2021; 45(1): 131.     CrossRef
  • Lesiones graves y moderadas por accidentes de tránsito en mayores de 60 años. Medellín, Colombia
    Vanessa Seijas-Bermúdez, Kelly Payares-Álvarez, Blanca Cano-Restrepo, Gilma Hernández-Herrera, Fabio Salinas-Durán, Héctor Iván García-García, Luz Helena Lugo-Agudelo
    Revista de la Facultad de Medicina.2019; 67(2): 201.     CrossRef
  • Patient and injury characteristics associated with road traffic mortality in general hospitals in southern Thailand
    Sunee Kraonual, Apiradee Lim, Attachai Ueranantasun, Sampurna Kakchapati
    Asian Biomedicine.2019; 13(2): 71.     CrossRef
  • 12,774 View
  • 61 Download
  • 8 Web of Science
  • 9 Crossref
Relationship Between Gross Motor Function and Daily Functional Skill in Children With Cerebral Palsy
Tae Gun Kwon, Sook-Hee Yi, Tae Won Kim, Hyun Jung Chang, Jeong-Yi Kwon
Ann Rehabil Med 2013;37(1):41-49.   Published online February 28, 2013
DOI: https://doi.org/10.5535/arm.2013.37.1.41
Correction in: Ann Rehabil Med 2013;37(5):756
Objective

To investigate the relationship between gross motor function and daily functional skill in children with cerebral palsy (CP) and to explore how this relationship is moderated by the Gross Motor Function Classification System, Bimanual Fine Motor Function (BFMF), neuromotor types, and limb distribution of CP.

Methods

A cross-sectional survey of 112 children with CP (range, 4 years to 7 years and 7 months) was performed. Gross motor function was assessed with the Gross Motor Function Measure-66 (GMFM-66) and functional skill was assessed with the Pediatric Evaluation of Disability Inventory-Functional Skills Scale (PEDI-FSS).

Results

GMFM-66 scores explained 49.7%, 67.4%, and 26.1% of variance in the PEDI-FSS scores in the self-care, mobility, and social function domains, respectively. Significant moderation by the distribution of palsy and BFMF classification levels II, III, and IV was found in the relationship between GMFM-66 and PEDI-FSS self-care. Further significant moderation by the distribution of palsy was also observable in the relationship between GMFM-66 and PEDI-FSS mobility.

Conclusion

These findings suggest that limb distribution and hand function must be considered when evaluating gross motor function and functional skills in children with CP, especially in unilateral CP.

Citations

Citations to this article as recorded by  
  • EXAMINING THE PREDICTIVE VALUE OF FUNCTIONAL CLASSIFICATION SYSTEMS FOR MOBILITY IN CHILDREN WITH CEREBRAL PALSY
    Veysel Akduman, Gönül Acar
    İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi.2026; 14(1): 101.     CrossRef
  • Effects of Spider Cage Therapy on Motor Control in Children with Cerebral Palsy
    Nisar Fatima, Amina Mehak Hasnat, Anbreena Rasool, Ali Raza, Bilal Umar, Fizza Hussain
    The Healer Journal of Physiotherapy and Rehabilitation Sciences.2025; 5(2): 184.     CrossRef
  • Home-based telerehabilitation for pediatric neurological motor disorders: Current trends and future perspectives. A systematic review and meta-analysis
    Valeria Calcaterra, Luca Marin, Luca Guardamagna, Alessandro Gatti, Virginia Rossi, Pamela Patanè, Matteo Vandoni, Gianvincenzo Zuccotti
    DIGITAL HEALTH.2025;[Epub]     CrossRef
  • Asymmetric involvement of hands: Psychometric properties of the Turkish version of the Bimanual Fine Motor Function 2.0 classification in children with cerebral palsy
    Kübra Seyhan-Bıyık, Kıvanç Delioğlu, Merve Tunçdemir, Sefa Üneş, Cemil Özal, Mintaze Kerem-Günel
    Journal of Hand Therapy.2024; 37(3): 429.     CrossRef
  • Filtering walking actigraphy data in children with unilateral cerebral palsy: A preliminary study
    Youngsub Hwang, Jeong-Yi Kwon, Ibrahim Sadek
    PLOS ONE.2024; 19(5): e0303090.     CrossRef
  • Clinical application and feasibility of utilizing the PEDI-CAT to assess activity and participation among children receiving physical therapy incorporating hippotherapy
    Susan Conroy, Trish Evans, Dana Butler-Moburg, Richard Beuttler, Janelle Robinson, Matt Huebert, Erin O Mahony, Marybeth Grant-Beuttler
    Physiotherapy Theory and Practice.2023; 39(11): 2300.     CrossRef
  • Current Profile of Physical Impairments in Children with Cerebral Palsy in Inclusive Education Settings: A Cross-Sectional Study
    Pardeep K. Pahwa, Suresh Mani
    Journal of Neurosciences in Rural Practice.2022; 13: 424.     CrossRef
  • A multicenter, double blind, randomized controlled trial of functional strength training on gross motor function among children with spastic diplegic cerebral palsy
    Loganathan Gurusamy, Gandhi Karunanithi Balaji, Sahana Agrahara
    Physiotherapy Quarterly.2022; 30(4): 52.     CrossRef
  • Predictors of gross motor function and activities of daily living in children with cerebral palsy
    Halima Bukar Tarfa, Auwal Bello Hassan, Umaru Muhammad Badaru, Auwal Abdullahi
    International Journal of Rehabilitation Research.2021; 44(4): 330.     CrossRef
  • Evidence-based position paper on the professional practice of Physical and Rehabilitation Medicine for persons with cerebral palsy. The European PRM position (UEMS PRM section)
    Karol HORNÁČEK, Jolanta KUJAWA, Enrique VARELA DONOSO, Fitnat DINCER, Elena ILIEVA, Peter TAKÁČ, Ivana PETRONIC MARKOVIC, Jiří VOTAVA, Anita VETRA, Dejan NIKOLIC, Nicolas CHRISTODOULOU, Mauro ZAMPOLINI, Carlotte KIEKENS
    European Journal of Physical and Rehabilitation Medicine.2021;[Epub]     CrossRef
  • Effectiveness of individualized, goal directed institutional based rehabilitation programme in children with developmental delay disorders, in a region with limited rehabilitation accessibility
    Kriti Mishra, V. Siddharth, Abhay Elhence, Divesh Jalan, Daisy Khera, Mohammed Yasir
    Journal of Pediatric Rehabilitation Medicine.2019; 12(1): 49.     CrossRef
  • Diaphragmatic mobility in children with spastic cerebral palsy and differing motor performance levels
    Surussawadi Bennett, Wantana Siritaratiwat, Nittaya Tanrangka, Michael John Bennett, Jaturat Kanpittaya
    Respiratory Physiology & Neurobiology.2019; 266: 163.     CrossRef
  • Motor abilities, activities, and participation of institutionalized Brazilian children and adolescents with cerebral palsy
    Tainá Ribas Mélo, Bruna Yamaguchi, Adriano Zanardi da Silva, Vera Lúcia Israel
    Motriz: Revista de Educação Física.2017;[Epub]     CrossRef
  • Relación entre espasticidad, función motora gruesa, habilidad manual e independencia en las actividades de la vida diaria en niños con parálisis cerebral
    I. Ruíz-Ibáñez, M. Santamaría-Vázquez
    Fisioterapia.2017; 39(2): 53.     CrossRef
  • Instrumentos que avaliam a independência funcional em crianças com paralisia cerebral: uma revisão sistemática de estudos observacionais
    Patrícia Domingos dos Santos, Franciele Cascaes da Silva, Elizandra Gonçalves Ferreira, Rodrigo da Rosa Iop, Gisele Graziele Bento, Rudney da Silva
    Fisioterapia e Pesquisa.2016; 23(3): 318.     CrossRef
  • A Study of the Usefulness of Pediatric Balance Scale as a Prediction Indicator for Gross Motor Function Classification System in Children with Cerebral Palsy
    Hyoung-Won Lim
    The Journal of Korean Physical Therapy.2016; 28(1): 22.     CrossRef
  • How Do Changes in Motor Capacity, Motor Capability, and Motor Performance Relate in Children and Adolescents With Cerebral Palsy?
    Dirk-Wouter Smits, Jan Willem Gorter, Petra E. van Schie, Annet J. Dallmeijer, Marjolijn Ketelaar
    Archives of Physical Medicine and Rehabilitation.2014; 95(8): 1577.     CrossRef
  • Effects of Hippotherapy on Gross Motor Function and Functional Performance of Children with Cerebral Palsy
    Eun Sook Park, Dong-Wook Rha, Jung Soon Shin, Soohyeon Kim, Soojin Jung
    Yonsei Medical Journal.2014; 55(6): 1736.     CrossRef
  • 9,754 View
  • 102 Download
  • 18 Crossref
Ultrasonography of Median Nerve and Electrophysiologic Severity in Carpal Tunnel Syndrome
Seok Kang, Hee Kyu Kwon, Ki Hoon Kim, Hyung Seok Yun
Ann Rehabil Med 2012;36(1):72-79.   Published online February 29, 2012
DOI: https://doi.org/10.5535/arm.2012.36.1.72
Objective

To investigate the correlation of the ultrasonographic wrist-to-forearm median nerve area ratio (WFR) and cross sectional area of median nerve at the wrist (CSA-W) to the electrophysiologic severity in patients with carpal tunnel syndrome (CTS).

Method

One hundred and ten wrists electrophysiologically graded as mild, moderate, and severe CTS and 38 healthy controls underwent ultrasonography of median nerve at the distal wrist crease and mid-forearm. WFR and CSA-W were analyzed according to the severity of CTS.

Results

WFR was 1.12±0.14, 1.91±0.33, 2.27±0.47 and 3.02±0.97 and the CSAs-W was 7.23±1.67 mm2, 13.51±3.72 mm2, 14.67±2.93 mm2, and 18.74±6.01 mm2 in controls, mild (n=28), moderate (n=46), and severe (n=36) CTS, respectively. CSA-W displayed significant differences between the control and the mild CTS, moderate CTS and severe CTS groups. However, there was no significant difference between mild CTS and moderate CTS groups. WFR revealed significant difference between all groups. The sensitivity and specificity of the WFR in grading the severity of CTS were higher than those of the CSA-W.

Conclusion

Ultrasonography is a useful complementary tool for the evaluation of CTS. Both WFR and CSA-W are highly correlated with severity grade of CTS. However, WFR is superior to CSA-W for diagnosis and grading of the severity of CTS.

Citations

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Severity of Disability and Quality of Life in Handicapped Persons in Welfare Facility and Home in Goyang City.
Kim, Seong Woo , Lee, Won Seok , Shin, Jung Bin , You, Sung , Lee, Sun Kyoung , Yun, Doo Sik , Choi, Young Sook
J Korean Acad Rehabil Med 2008;32(4):443-448.
Objective: To compare severity of disability and quality of life between the handicapped residing in a welfare facility and the handicapped living at home. Method: This research conducted a survey for the handicapped persons in Goyang city. The survey consisted of the following items: disability diagnosis, modified Barthel index (MBI), Korean-activities of daily living (K-ADL), 8-item short form health survey instrument (SF-8) and life domain satisfaction measure (LDSM). A total number of 144 handicapped persons participated, and 66 among them lived at home. Results: In regard to the range of activities of daily living MBI, K-ADL and quality of life; SF-8, those who resided in a welfare facility showed higher scores. In terms of satisfaction of life, the two groups did not show significant difference in housing, education and family relationship. However, as for leisure and health, those who resided in a welfare facility showed higher satisfaction. Conclusion: The handicapped persons residing in a welfare facility could function more independently in carrying out daily activities, and they showed higher quality and more satisfaction of life compared to those who lived at home. These results support that more attention would be needed for disabled persons at home to make welfare and rehabilitation policies. (J Korean Acad Rehab Med 2008; 32: 443-448)
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The Correlation of Electrodiagnostic Severity, Severity of Symptom, Functional Status, and Clinical Severity in Patients with Carpal Tunnel Syndrome.
Lee, Jongmin , Jeon, Jae Yong , Ryu, Gi Hyeong , Sim, Yeong Ju , Choi, Jung Min
J Korean Acad Rehabil Med 2003;27(6):906-911.
Objective: To evaluate the correlation of electrodiagnostic severity, severity of symptom, and clinical severity in carpal tunnel syndrome (CTS).

Method: The sixty eight patients with documented CTS in outpatient clinic from January, 2000 to June, 2001 were included (9 male, 59 female, averaged age 50.0⁑8.8 years). We evaluated the severity of symptom, functional status of ADL with the Levine' questionnaire, and clinical severity with 3 kinds of examination (thenar atrophy, sensory change, and Phalen's test). The electrodiagnostic severity was classified according to Stevens' classification and compared with the severity of symptom, functional status, and clinical severity.

Results: The electrodiagnostic severity was classified into three degrees. Five patients (7.4%) were classified into mild degree, 32 patients (47.1%) moderate degree, 31 patients (45.6%) severe degree. The average of severity of symptom scores were 28.4⁑8.5, 31.8⁑7.4, and 31.8⁑9.1 respectively, and there was no significant difference (p>0.05) between the groups. Functional status scales were 14.2⁑6.7, 15.6⁑5.4 and 18.9⁑7.0 respectively and no significant difference (p=0.07) but there was a tendency that the severer was electrodiagnostic severity, the more decreased functional status scale. The clinical severity showed a significant correlation with the electrodiagnostic severity (p<0.05).

Conclusion: The electrodiagnostic severity has a significant correlation with the clinical severity, but not with the severity of symptom, the functional status in CTS. (J Korean Acad Rehab Med 2003; 27: 906-911)

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Histochemical Findings of Soleus in Relation to the Severity of Injury and Duration of Exercise in Sciatic Nerve Injured Rats.
Kim, Myeong Ok , Kim, Sei Joo , Choi, Hyun Chul , Roh, Gill Ho , Kim, Seung Yeol
J Korean Acad Rehabil Med 2003;27(5):727-734.
Objective
To investigate the histopathological findings of soleus muscle in relation to the severity of injury and the duration of treadmill exercise in rats with sciatic nerve damage.

Method: Sciatic nerve of seventy rats was compressed with haemostatic forceps. The experimental group was divided into 4 subgroups according to the intensity and duration of injury: group 1, first degree compression for 5 seconds; group 2, first degree for 30 seconds; group 3, third degree for 5 seconds; and group 4, third degree for 30 seconds. Treadmill exercise was done for either 30 minutes or 2 hours a day, 5 days a week for 4 weeks. Histochemical study of soleus was done before nerve compression and 1 week, 4 weeks after compression.

Results: The fiber diameter of soleus was larger in the experimental group at 4 weeks (p<0.05). The intensity of injury had greater impact on the recovery of fiber diameter than the duration. Thirty minute exercise was seen to have a earlier recovery of fiber diameter than 2 hours.

Conclusion: These results may provide the basic data to clarify the neurological recovery in relation to the severity of injury, and to help establishing adequate duration of exercise after nerve damage.

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The Relationship between Clinical and Electrodiagnostic Findings in Carpal Tunnel Syndrome.
Hwang, Mi Ryoung , Kwon, Hee Kyu , Lee, Hang Jae
J Korean Acad Rehabil Med 1999;23(5):974-979.

Objective: Carpal tunnel syndrome (CTS), a common entrapment neuropathy of the median nerve at the wrist, can be diagnosed clinically and electrophysiologically and treated successfully. The purpose of this study was to determine an association between clinical findings and the electrodiagnostic severity of this syndrome.

Method: Medical records of 313 patients with CTS which was confirmed based on clinical and electrophysiological findings were reviewed. Clinical symptoms and signs (thenar atrophy, sensory change, positive Tinel sign and Phalen test) and electrodiagnostic values were recorded. CTS severity was determined according to the modified Stevens' criteria. The relationship between electrodiagnostic severity and clinical findings was investigated and statistically analyzed using the ANOVA and chi square tests.

Results: The median motor and sensory latencies became prolonged and amplitudes decreased with worsening electrophysiological severity of CTS, and the differences between severity groups were statistically significant. The frequency of symptoms and signs obtained was significantly greater in the more severe CTS groups.

Conclusion: A positive correlation exists between the frequency of clinical findings and electrophysiological severity of CTS.

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Dysesthetic Pain Syndrome in Spinal Cord Injury Patients.
Lee, Zee Ihn , Lee, Yang Soo , Kim, Poong Taek , Park, Hyun
J Korean Acad Rehabil Med 1998;22(1):34-39.

Dysesthetic pain syndrome is a common disabling painful sequelae of spinal cord injury patients.

The purposes of this study were to gather the general informations of pain in spinal cord injury patients and to investigate the correlation between the various factors affecting pain severity.

Twenty-seven spinal cord injury patients with dysesthetic pain were evaluated by medical histories, physical and neurological examinations. The pain intensity was measured by a visual analogue scale.

Twenty-one subjects were males and six were females. The mean age of patients was 35.1 years.

The patients were classified into five pain categories : diffuse pain, segmental pain, root pain, visceral pain, and non-neurogenic pain. Nineteen patients (70.4%) were categorized into diffuse pain group, six patients (22.2%) into both diffuse and segmental pain group, two patients (7.4%) into root pain group and five patients (18.5%) into perianal pain group.

According to this study, the only significant factor affecting the severity of dysesthetic pain in spinal cord injury patients was the severity of spinal cord injury. Pain appeared earlier and more intensely in the complete spinal cord injury patients. There was no correlation between the severity of pain and the level of lesion, age, or the posterior tibial nerve SEP response.

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