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"Jae Hyeon Park"

Clinical Practice Guideline

Clinical Practice Guidelines for Diagnosis and Non-Surgical Treatment of Primary Frozen Shoulder
Byung Chan Lee, Beom Suk Kim, Byeong-Ju Lee, Chang-Won Moon, Chul-Hyun Park, Dong Hwan Kim, Dong Hwan Yun, Donghwi Park, Doo Young Kim, Du Hwan Kim, Gi-Wook Kim, Hyun Jung Kim, Il-Young Jung, In Jong Kim, Jae Hyeon Park, Jae-Hyun Lee, Jaeki Ahn, Jae-Young Lim, Jin A Yoon, Jong Hwa Lee, Jong-Moon Hwang, Keewon Kim, Kyeong Eun Uhm, Kyoung Hyo Choi, Kyung Eun Nam, Kyunghoon Min, Min Cheol Chang, Myung Woo Park, Nackhwan Kim, Hyeng-Kyu Park, Seong Hun Kim, Seoyon Yang, Sun Jae Won, Sung Gyu Moon, Sung Joon Chung, Sungju Jee, Woo Hyung Lee, Yong Bok Park, Yoonju Na, Yu Hui Won, Yu Jin Im, Yu Sung Yoon, Yun Jung Lee, Yunsoo Soh, Jae-Young Han
Ann Rehabil Med 2025;49(3):113-138.   Published online June 30, 2025
DOI: https://doi.org/10.5535/arm.250057
Objective
Primary frozen shoulder causes significant pain and progressively restricts shoulder movements. Diagnosis is primarily clinically based on patient history and physical examination. Management is mainly non-invasive owing to its self-limiting clinical course. However, clinical practice guidelines for frozen shoulder have not yet been developed in Korea. The developed guidelines aim to provide evidence-based recommendations for the diagnosis and treatment of frozen shoulder.
Methods
A guideline development committee reviewed the literature from four databases (PubMed, Embase, Cochrane Library, and KMbase). Using the PICO (Population, Intervention, Comparator, and Outcome) framework, the committee formulated two backgrounds and 16 key questions to address common clinical concerns. Recommendations were made using the Grading of Recommendations, Assessment, Development, and Evaluation framework.
Results
Diabetes, thyroid disease, and dyslipidemia significantly increase the risk of developing a frozen shoulder. Although frozen shoulder is often self-limiting, some patients may experience long-term disabilities. Ultrasound and magnetic resonance imaging should be used as adjunctive tools alongside clinical diagnosis, and not as independent diagnostic methods. Noninvasive approaches, such as medications, physical modalities, exercises, electrical stimulation, and manual therapy, may reduce pain and improve shoulder function. Other noninvasive interventions have limited evidence, and their application should be based on clinical judgment. Intra-articular steroid injections are recommended for treatment, and physiotherapy or hydrodilatation with steroid injections can also be beneficial.
Conclusion
These guidelines provide evidence-based recommendations for diagnosing and treating primary frozen shoulder.

Citations

Citations to this article as recorded by  
  • Comparison of efficacy of intra-articular injection of platelet-rich plasma with bupivacaine and steroid combination in chronic shoulder pain
    Naveen Malhotra, Neha Sinha, Amit Kumar, Ritu, Disha Gupta, Naman Malhotra
    Journal of Anaesthesiology Clinical Pharmacology.2026; 42(1): 120.     CrossRef
  • Hyperlipidemia exacerbates frozen shoulder fibrosis by activating the TGF-β/Smad2/3 signaling pathway via the TBX5-TNC-Itgα2 axis
    Fan Jiang, Yi Zhang, Jinlong Ma, Tengbo Yu, Youliang Shen
    iScience.2026; 29(2): 114660.     CrossRef
  • Axillary recess capsular edema is associated with heterogeneity in rehabilitation response: Implications for a magnetic resonance imaging-based stratified treatment strategy for adhesive capsulitis
    De-Ting Zhu, Yan-Qi Shan, Yan Wang, ChenChen, Da-Dong Zhang, Xiu-Li Kan, Quan-Bing Zhang, Xue-Ming Li, Yun Zhou
    Archives of Physical Medicine and Rehabilitation.2026;[Epub]     CrossRef
  • Clinical efficacy of Mulligan mobilization with movement versus proprioceptive neuromuscular facilitation on pain reduction and shoulder mobility in patients with frozen shoulder
    Sylejman Miftari, Mejdi Aliu
    Health, sport, rehabilitation.2026;[Epub]     CrossRef
  • 28,087 View
  • 896 Download
  • 2 Web of Science
  • 4 Crossref

Original Article

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
  • 10,702 View
  • 240 Download
  • 27 Web of Science
  • 26 Crossref

Reply to Letter to the Editor

In Reply: Paralysis Developing as a Paradoxical Response During the Treatment for Tuberculous Spondylitis
Jae Hyeon Park, Yeo Hyung Kim, Chan Hyuk Kwon, Hyung-Ik Shin
Ann Rehabil Med 2015;39(2):329-329.   Published online April 24, 2015
DOI: https://doi.org/10.5535/arm.2015.39.2.329
  • 5,074 View
  • 30 Download

Case Report

Paralysis Developing as a Paradoxical Response During the Treatment for Tuberculous Spondylitis: A Case Report
Jae Hyeon Park, Yeo Hyung Kim, Chan Hyuk Kwon, Hyung-Ik Shin
Ann Rehabil Med 2014;38(3):405-409.   Published online June 26, 2014
DOI: https://doi.org/10.5535/arm.2014.38.3.405

It can be difficult for clinicians to distinguish a paradoxical response to antituberculous therapy, worsening of an existing lesion despite adequate treatment, treatment failure, and drug resistance. We report a case of a 69-year-old woman who experienced bilateral lower extremity paralysis secondary to a paradoxical response. She had been suffering for 1 month from low back pain, due to tuberculous spondylitis. Her low back pain improved after antituberculous therapy. The low back pain, however, reappeared 2 months after treatment, accompanied by newly developed lower extremity weakness. Imaging studies showed an increased extent of her previous lesions. Consequently, the patient underwent a vertebral corpectomy with interbody fusion of the thoracolumbar spine. Histopathological examination showed chronic inflamed granulation tissue with no microorganisms. Although the antituberculous medication was not changed, the patient's symptoms and signs, including the paralysis, resolved after surgery.

Citations

Citations to this article as recorded by  
  • Tuberculosis vertebral del adulto
    G. Coiffier, G. Bart
    EMC - Aparato Locomotor.2020; 53(4): 1.     CrossRef
  • Paradoxical response as a cervical lymph node enlargement after termination of anti-tuberculosis treatment in a patient with pulmonary tuberculosis
    Hye-Rim Kang, Ho Young Lee, Mi-Yeong Kim, Young Min Lee, Soo Jin Jung, Hyun-Kyung Lee, Si Hyeong Lee, Yunmi Kim
    Kosin Medical Journal.2016; 31(1): 71.     CrossRef
  • Letters
    Safak Ekinci, Mehmet Agilli, Omer Ersen, Gulbanu Horzum Ekinci
    Spine.2015; 40(5): E321.     CrossRef
  • A retrospective controlled study of three different operative approaches for the treatment of thoracic and lumbar spinal tuberculosis
    Safak Ekinci, Faruk Akyildiz, Omer Ersen, Adem Parlak, Kenan Koca
    Clinical Neurology and Neurosurgery.2015; 136: 51.     CrossRef
  • Article Commentary: Spinal Tuberculosis
    Safak Ekinci, Oner Tatar, Serkan Akpancar, Serkan Bilgic, Omer Ersen
    Journal of Experimental Neuroscience.2015;[Epub]     CrossRef
  • Treatment of thoracic or lumbar spinal tuberculosis complicated by resultant listhesis at the involved segment
    Safak Ekinci, Mehmet Agilli, Gulbanu Horzum Ekinci, Omer Ersen
    Clinical Neurology and Neurosurgery.2015; 128: 131.     CrossRef
  • Letter to the Editor regarding Analysis of Changing Paradigms of Management in 179 Patients with Spinal Tuberculosis During a 12-Year Period and Proposal of a New Management Algorithm
    Safak Ekinci, Mehmet Agilli, Omer Ersen, Gulbanu Horzum Ekinci
    World Neurosurgery.2015; 84(6): 2072.     CrossRef
  • Letter to the Editor: Minimally Invasive Surgical Approaches in the Management of Tuberculosis of the Thoracic and Lumbar Spine
    Safak Ekinci, Mehmet Agilli, Gulbanu Horzum Ekinci, Omer Ersen
    Clinical Orthopaedics and Related Research®.2015; 473(5): 1840.     CrossRef
  • Comments on: “Update on the surgical management of Pott's disease” by S. Varatharajah, Y.-P. Charles, X. Buy, A. Walter, J.-P. Steib published in Orthop Traumatol Surg Res 2014;100:233–9
    S. Ekinci, M. Agilli, G. Horzum Ekinci, O. Ersen
    Orthopaedics & Traumatology: Surgery & Research.2015; 101(2): 261.     CrossRef
  • Paralysis Developing as a Paradoxical Response During Treatment for Tuberculous Spondylitis
    Safak Ekinci, Faruk Akyildiz, Yavuz Poyrazoglu, Samet Verim
    Annals of Rehabilitation Medicine.2015; 39(2): 327.     CrossRef
  • Comments on: “Update on the surgical management of Pott's disease” by S. Varatharajah, Y.-P. Charles, X. Buy, A. Walter, J.-P. Steib published in Orthop Traumatol Surg Res 2014;100:233–9
    S. Ekinci, M. Agilli, G.H. Ekinci, O. Ersen
    Revue de Chirurgie Orthopédique et Traumatologique.2015; 101(3): 251.     CrossRef
  • Comment on “Video-Assisted Thoracic Surgery for Tubercular Spondylitis”
    Safak Ekinci, Serkan Bilgic, Kenan Koca, Mehmet Agilli, Omer Ersen
    Minimally Invasive Surgery.2014; 2014: 1.     CrossRef
  • 6,190 View
  • 54 Download
  • 10 Web of Science
  • 12 Crossref
Original Articles
Comparison of Different Gum-Based Thickeners Using a Viscometer and Line Spread Test: A Preliminary Study
Jae Hyeon Park, Ho-Geun Kim, Byung-Mo Oh, Min-Woo Lee, In-Kyeong Hwang, Shi-Uk Lee, Tai Ryoon Han
Ann Rehabil Med 2014;38(1):94-100.   Published online February 25, 2014
DOI: https://doi.org/10.5535/arm.2014.38.1.94
Objective

To compare fluid thickeners composed of starch polysaccharide (STA), guar gum-based polysaccharide (GUA), and xanthan gum-based polysaccharide (XAN) with the use of a viscometer and a line spread test (LST) under various measurement conditions.

Methods

The viscosity of thickened fluid with various concentrations (range, GUA 1%-4%, XAN 1%-6%, STA 1%-7%, at intervals of 1%) was measured with a rotational viscometer with various shear rates (1.29 s-1, 5.16 s-1, 51.6 s-1, and 103 s-1) at a temperature of 35℃, representing body temperature. The viscosity of STA showed time dependent alteration. So STA was excluded. Viscosities of GUA and XAN (range of concentration, GUA 1%-3%, XAN 1%-6%, at intervals of 1%) were measured at a room temperature of 20℃. LST was conducted to compare GUA and XAN (concentration, 1.5%, 2.0%, and 3.0%) at temperatures of 20℃ and 35℃.

Results

The viscosities of 1% GUA and XAN were similar. However, viscosity differences between GUA and XAN were gradually larger as concentration increased. The shear thinning effect, the inverse relationship between the viscosity and the shear rate, was more predominant in XAN than in GUA. The results of LST were not substantially different from GUA and XAN, in spite of the difference in viscosity. However manufacturers' instructions do not demonstrate the rheological properties of thickeners.

Conclusion

The viscosities of thickened fluid were different when the measurement conditions changed. Any single measurement might not be sufficient to determine comparable viscosity with different thickeners. Clinical decision for the use of a specific thickener seems to necessitate cautious consideration of results from a viscometer, LST, and an expert's opinion.

Citations

Citations to this article as recorded by  
  • Bioprinting spatially guided functional 3D neural circuits with agarose-xanthan gum copolymer hydrogels
    Cristina Antich, Srikanya Kundu, Shayne Frebert, Ty Voss, Min Jae Song, Marc Ferrer
    Biomaterials.2025; 318: 123156.     CrossRef
  • Measuring Viscosity and Consistency in Thickened Liquids for Dysphagia: Is There a Correlation Between Different Methods?
    Javier Marín-Sánchez, Sofía Gimeno-Ruiz, Alejandro Berzosa, Javier Raso, Cristina Sánchez-Gimeno
    Foods.2025; 14(13): 2384.     CrossRef
  • Evaluation of the physicochemical and sensory properties of branched-chain amino acid-fortified perilla mousse after retort sterilisation as a dysphagia diet
    Hye-Ji Jeon, Su-Yeong Hwang, Weon-Sun Shin
    International Journal of Food Science and Technology.2024; 59(10): 7250.     CrossRef
  • Difference in Drinking Times as a Function of Liquid Consistency in Adults With Oculopharyngeal Muscular Dystrophy: A Comparative Study Using Bostwick Consistometer and IDDSI Flow Test Methods
    Annie Villeneuve‐Rhéaume, Cynthia Gagnon, Isabelle Germain, Claudia Côté
    Journal of Texture Studies.2024;[Epub]     CrossRef
  • What Is the Difference Between Laboratory-Scale and Pilot-Scale Grape-Based Products for Older Adults with Chewing Difficulties?
    Ye-Jun Kim, Ji-Hye Ryu, Jin-Young Lee, Yong-Suk Kim, Dasol Kim, Yongseok Kwon
    Foods.2024; 13(23): 3844.     CrossRef
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    Toshitaka Yasuda, Kenji Shimokasa
    Journal of Texture Studies.2023; 54(4): 510.     CrossRef
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    Yuka Konoike, Izumi Tsukayama, Mei Oji, Takayo Kawakami, Kayoko Ishii, Toshiko Suzuki-Yamamoto
    Foods.2023; 12(21): 3943.     CrossRef
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    Amanda M. Brewsaugh, Laura J. Brust, Jennifer Hartman
    Journal of the Academy of Nutrition and Dietetics.2022; 122(2): 270.     CrossRef
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    Long Yat Wong, Manwa L. Ng, Eric T.S. Tong
    Folia Phoniatrica et Logopaedica.2022; 74(3): 167.     CrossRef
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    José Vergara, Heloisa Sant’Ana Teixeira, Cinthia Madeira de Souza, Janaina Artem Ataide, Felipe de Souza Ferraz, Priscila Gava Mazzola, Lucia Figueiredo Mourão
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    Yasuhito Kumai, Ippei Suzuki, Yuko Tousen, Takashi Kondo, Jun Kayashita, Tsuyoshi Chiba, Tadasu Furusho, Jun Takebayashi
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    Jane Mertz Garcia, Edgar Chambers, Kelsey Cook
    American Journal of Speech-Language Pathology.2018; 27(1): 270.     CrossRef
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    Jonas Buck, Jörg Huwyler, Peter Kühl, Angela Dischinger
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    Ben Hanson
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  • 8,827 View
  • 229 Download
  • 22 Web of Science
  • 22 Crossref
Validity and Reliability of the Korean Version of the MD Anderson Dysphagia Inventory for Head and Neck Cancer Patients
Chan-Hyuk Kwon, Yeo Hyung Kim, Jae Hyeon Park, Byung-Mo Oh, Tai Ryoon Han
Ann Rehabil Med 2013;37(4):479-487.   Published online August 26, 2013
DOI: https://doi.org/10.5535/arm.2013.37.4.479
Objective

To translate the MD Anderson Dysphagia Inventory (MDADI) which is a self-administered questionnaire that assesses effect of dysphagia on the quality of life for patients with head and neck cancer, into Korean and to verify the validity and reliability of the Korean version of MDADI.

Methods

We performed 6 steps for the cross-cultural adaptation which consisted of translation, synthesis, back translation, review by an expert committee, cognitive debriefing, and final proof reading. A total of 34 dysphagia patients with head and neck cancers from Seoul National University Hospital answered the translated version of the questionnaire for the pre-testing. The patients answered the same questionnaire 2 weeks later to verify the test-retest reliability.

Results

One patient was excluded at second survey because he changed his feeding strategy. Overall, 33 patients completed the study. Linguistic validations were achieved by each step of cross-cultural adaptation. We gathered statistically strong construct validity (Spearman rho for subdomain scores to total score correlation range from 0.852 to 0.927), internal consistency for subdomains (Cronbach's alpha coefficients range from 0.785 to 0.889) and test-retest reliability (intra-class correlation coefficient range from 0.820 to 0.955)

Conclusion

The Korean version of the MDADI achieved linguistic validations and demonstrated good construct validity and reliability. It can be a useful tool for screening and treatment planning for the dysphagia of patients with head and neck cancers.

Citations

Citations to this article as recorded by  
  • Ultrasonographic Measurements of Tongue Thickness and Swallowing Dysfunction in Amyotrophic Lateral Sclerosis: A Feasibility Study
    Min Soo Kim, Yunah Nam, Kyoung Tae Kim
    Annals of Rehabilitation Medicine.2026; 50(1): 71.     CrossRef
  • Validation of a Cross-Cultural Adaptation of the M.D. Anderson Dysphagia Inventory to Canadian French (MDADI-CF)
    Gabriella Le Blanc, Jennifer Silver, Ninell Sygal, Nicolas Pilote, Karen M. Kost, Marco A. Mascarella, Nader Sadeghi
    Dysphagia.2025; 40(5): 1176.     CrossRef
  • Validation of the Finnish MD Anderson Dysphagia Inventory (MDADI) in patients with head and neck cancer
    Pihla Ranta, Ilpo Kinnunen, Heikki Irjala
    Scientific Reports.2025;[Epub]     CrossRef
  • Validity and Reliability of the M.D. Anderson Dysphagia Inventory in Turkish Patients with Neurological Disease
    Muserrefe Nur Keles, Ozgu Inal Ozun, Tulin Gesoglu Demir, Serife Gizem Sarioglu Ermumcu, Nihat Sengeze
    Folia Phoniatrica et Logopaedica.2025; 77(2): 205.     CrossRef
  • Cross-Cultural Adaptation and Validation of the Persian Version of the M. D. Anderson Dysphagia Inventory
    Fardin Sharifi, Zahra Sadat Qoreishi, Jalal Bakhtiyari, Abbas Ebadi, Mohammad Houshyari, Samira Azghandi
    International Archives of Otorhinolaryngology.2024; 28(02): e288.     CrossRef
  • Moroccan validation of the dysfunctional beliefs and attitudes about sleep (DBAS-16) scale
    Benouajjit Abdelilah, Tazi Ibtissam, Mesfioui Abdelhalem, Ouichou Ali, El Hessni Aboubaker, El Fakir Samira, Belarbi Najat, Souirti Zouhayr
    Sleep Epidemiology.2024; 4: 100074.     CrossRef
  • Patient‐reported outcome measures for dysphagia in head and neck cancer: A systematic review and appraisal of content validity and internal structure
    Beatrice Manduchi, Zhiyao Che, Jolie G. Ringash, Margaret I. Fitch, Doris Howell, Rosemary Martino
    Head & Neck.2024; 46(4): 951.     CrossRef
  • A Hard Truth to Swallow: Critically Evaluating the MD Anderson Dysphagia Inventory (MDADI) as an Endpoint in Human Papillomavirus-associated Oropharyngeal Cancer Trials
    Lachlan McDowell, Madeleine T. King, Katherine A. Hutcheson, Jolie Ringash, Sue S. Yom, June Corry, Christina Henson, Hisham Mehanna, Danny Rischin
    International Journal of Radiation Oncology*Biology*Physics.2024; 120(3): 805.     CrossRef
  • Cultural Adaptation and Validation of Questionnaires for Evaluation of Health-Related Quality of Life with Dysphagia in Different Countries: A Systematic Review
    Lin Yang, Zhigang Zhang, Huiya Gao, Yuchen Wu, Huaping Wei, Jiajia Kong, Rui Wang, Jie Cheng, Jinhui Tian
    Dysphagia.2022; 37(4): 812.     CrossRef
  • Validity and Reliability of an Arabic Version of MD Anderson Dysphagia Inventory (MDADI)
    Hemail M. Alsubaie, Suhail I. Sayed, Albaraa Y. Alsini, Haddad H. Alkaff, Osama A. Margalani, Ahmed Abu-Zaid, Omar A. Abu-Suliman, Ameen Z. Alherabi, Saeed A. Alghamdi, Essam Saleh, Mohammad A. Alessa, Sherif K. Abdelmonim
    Dysphagia.2022; 37(4): 946.     CrossRef
  • Cross-cultural adaptation and validation of the eating assessment tool into Persian
    Mahshid Rashidi, Ehsan Naderifar, Negin Moradi, Homeira Rashidi, Hossein Ansari
    Speech, Language and Hearing.2022; 25(1): 74.     CrossRef
  • Translation and Validation of the Indonesian MD Anderson Dysphagia Inventory (MDADI) in Head and Neck Cancer Patients with Swallowing Disorders
    Rizka Fakhriani, Agus Surono, Bambang Udji Djoko Rianto
    International Archives of Otorhinolaryngology.2022; 26(03): e321.     CrossRef
  • Factors related to dysphagia-specific quality of life in aged patients with neurologic disorders: A cross-sectional study
    Sujin Jung, Ji-Su Kim, Insil Jang, Hyejin Kim
    Geriatric Nursing.2022; 43: 159.     CrossRef
  • Application of an L-shaped anterolateral thigh flap in reconstruction after hemiglossectomy
    Xi Rui, Zixian Huang, Jiyuan Zuo, Yan Wang, Qixiang Liang, Tingting Jin, Jianguang Wang, Shaohai Chang, Zhiquan Huang
    BMC Surgery.2022;[Epub]     CrossRef
  • Effects of percutaneous injection laryngoplasty on voice and swallowing problems in cancer‐related unilateral vocal cord paralysis
    Min‐Gu Kang, Han Gil Seo, Eun‐Jae Chung, Hyun Haeng Lee, Seo Jung Yun, Bhumsuk Keam, Tae Min Kim, Seong Keun Kwon, Byung‐Mo Oh
    Laryngoscope Investigative Otolaryngology.2021; 6(4): 800.     CrossRef
  • The PRO-ACTIVE trial protocol: a randomized study comparing the effectiveness of PROphylACTic swallow InterVEntion for patients receiving radiotherapy for head and neck cancer
    R. Martino, M. I. Fitch, C. D. Fuller, A. Hope, G. Krisciunas, S. E. Langmore, C. Lazarus, C. L. Macdonald, T. McCulloch, G. Mills, D. A. Palma, K. Pytynia, J. Ringash, K. Sultanem, J. Theurer, K. E. Thorpe, K. Hutcheson
    BMC Cancer.2021;[Epub]     CrossRef
  • Validation of the Dutch Version of the M.D. Anderson Dysphagia Inventory for Neurogenic Patients
    Eveline E. Samuels, Michel van Hooren, Laura W.J. Baijens, Anne-Sophie Beeckman, Valéria Lima Passos, Walmari Pilz
    Folia Phoniatrica et Logopaedica.2021; 73(1): 42.     CrossRef
  • Validity and reliability of a French version of M.D. Anderson Dysphagia Inventory
    Jérôme R. Lechien, Gaëtan Cavelier, Marie-Paule Thill, Laura Bousard, Serge Blecic, Jan Vanderwegen, Sven Saussez, Alexandra Rodriguez, Didier Dequanter
    European Archives of Oto-Rhino-Laryngology.2020; 277(11): 3111.     CrossRef
  • Validity and reliability of the MD Anderson dysphagia inventory in English and Chinese in head and neck cancer patients
    Kaisin Yee, Seng Mun Wong, Irene Teo, Jamie Loy, Elizabeth Roche, Yee Pin Tan, Hiang Khoon Tan, Ngian Chye Tan, N Gopalakrishna Iyer
    Asia-Pacific Journal of Clinical Oncology.2020; 16(6): 372.     CrossRef
  • Validation and Reliability of the French Version of the Sydney Swallow Questionnaire
    Nicolas Audag, Christophe Goubau, Etienne Danse, Laure Vandervelde, Giuseppe Liistro, Michel Toussaint, Gregory Reychler
    Dysphagia.2019; 34(4): 556.     CrossRef
  • Reliability and Validity of the MD Anderson Dysphagia Inventory Among Japanese Patients
    Yuhei Matsuda, Manabu Kanazawa, Yuriko Komagamine, Masashi Yamashiro, Sumio Akifusa, Shunsuke Minakuchi
    Dysphagia.2018; 33(1): 123.     CrossRef
  • Effects of a swallowing exercise education program on dysphagia-specific health-related quality of life in oral cavity cancer patients post-treatment: a randomized controlled trial
    Shu-Ching Chen, Bing-Shen Huang, Chia-Yin Chung, Chien-Yu Lin, Kang-Hsing Fan, Joseph Tung-Chien Chang, Shu-Chen Wu
    Supportive Care in Cancer.2018; 26(8): 2919.     CrossRef
  • Swallowing ability and its impact on dysphagia-specific health-related QOL in oral cavity cancer patients post-treatment
    Shu-Ching Chen, Bing-Shen Huang, Tsung-Min Hung, Ya-Lan Chang, Chien-Yu Lin, Chia-Yin Chung, Shu-Chen Wu
    European Journal of Oncology Nursing.2018; 36: 89.     CrossRef
  • Efficacy of Calcium Hydroxyapatite in Vocal Fold Augmentation for Unilateral Vocal Fold Paralysis in Asian
    Doh Young Lee, Eun-Jae Chung, Seong-Keun Kwon
    Journal of The Korean Society of Laryngology, Phoniatrics and Logopedics.2018; 29(2): 83.     CrossRef
  • Psychometric Properties of the Chinese Version of the M.D. Anderson Dysphagia Inventory for Head and Neck Cancer Patients
    Li-Juan Zhang, Nan Jiang, Zheng Li, Xi-Wei Chen, Pei-Guo Wang, Xin Wang, Yue Zhao
    Cancer Nursing.2017; 40(3): E9.     CrossRef
  • What is a clinically relevant difference in MDADI scores between groups of head and neck cancer patients?
    Katherine A. Hutcheson, Martha P. Barrow, Asher Lisec, Denise A. Barringer, Kacie Gries, Jan S. Lewin
    The Laryngoscope.2016; 126(5): 1108.     CrossRef
  • Pretreatment Dysphagia Inventory and videofluorographic swallowing study as prognostic indicators of early survival outcomes in head and neck cancer
    Chan Joo Yang, Jong‐Lyel Roh, Kyoung Hyo Choi, Min‐Ju Kim, Seung‐Ho Choi, Soon Yuhl Nam, Sang Yoon Kim
    Cancer.2015; 121(10): 1588.     CrossRef
  • Validation and Cultural Adaptation of the Arabic Version of the Eating Assessment Tool (EAT-10)
    Mohamed Farahat, Tamer A. Mesallam
    Folia Phoniatrica et Logopaedica.2015; 67(5): 231.     CrossRef
  • Development of the Arabic Version of Dysphagia Handicap Index (DHI)
    Mohamed Farahat, Khalid H. Malki, Tamer A. Mesallam, Manal Bukhari, Sami Alharethy
    Dysphagia.2014; 29(4): 459.     CrossRef
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