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Scharf A, Acutt E, Bills K, Werpy N. Magnetic resonance Imaging for diagnosing and managing deep digital flexor tendinopathy in equine athletes: Insights, advances and future directions. Equine Vet J 2025. [PMID: 40314097 DOI: 10.1111/evj.14508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 03/20/2025] [Indexed: 05/03/2025]
Abstract
Deep digital flexor (DDF) tendinopathy is a significant cause of lameness and poor performance in equine athletes with substantial implications for their return to athletic performance. Magnetic resonance imaging (MRI) is increasingly integrated into the diagnostic workup of horses with foot pain and has revolutionised the diagnosis and management of these injuries. This review discusses the principles of MRI in the context of deep digital flexor tendon (DDFT) injury, comparing high-field and low-field systems and highlighting the clinical relevance of technical parameters, including field strength and sequence selection, in achieving an accurate diagnosis. This review also critically evaluates how different configurations and/or imaging features of tendon lesions may impact patient prognosis, considers the complementary role of computed tomography and ultrasonography in cases where MRI may not be feasible, and discusses emerging imaging techniques including positron emission tomography (PET)-MRI and quantitative MRI. Lastly, this review underscores the importance of serial imaging to monitor lesion progression and guide rehabilitation, while identifying knowledge gaps and proposing future research directions. Ultimately, a multidisciplinary approach incorporating advanced imaging and tailored rehabilitation is essential to improving clinical outcomes in horses with DDFT injuries.
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Affiliation(s)
- Alexandra Scharf
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, Pennsylvania, USA
| | - Elizabeth Acutt
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, Pennsylvania, USA
| | - Kathryn Bills
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, Pennsylvania, USA
| | - Natasha Werpy
- Equine Diagnostic Imaging, Inc., Archer, Florida, USA
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Jamar F, van der Laken CJ, Panagiotidis E, Steinz MM, van der Geest KSM, Graham RNJ, Gheysens O. Update on Imaging of Inflammatory Arthritis and Related Disorders. Semin Nucl Med 2023; 53:287-300. [PMID: 36155690 DOI: 10.1053/j.semnuclmed.2022.08.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 08/30/2022] [Indexed: 11/11/2022]
Abstract
Arthritis and other rheumatic disorders are very frequent in the general population and responsible for a huge physical and disability burden to affected patients as well as a major cost to the society. Precise evaluation often relies on clinical data only but additional imaging may be required i) for a more objective assessment of the disease status, such as in rheumatoid arthritis (RA) or ankylosing spondyloarthritis (AS), ii) for providing prognostic information and evaluating response to treatment or iii) for establishing diagnosis, in patients with unclear clinical picture, such as polymyalgia rheumatica (PMR) and large-vessel vasculitis (LVV). Besides radiological techniques (x-rays, ultrasound, and MRI), functional and molecular imaging has emerged as a valid tool for this purpose in several disorders. Bone scanning has long been a method of choice but is now more used as a triage tool in patients with unclear complaints, including degenerative disorders (eg osteoarthritis). 18F-FDG-PET/CT (FDG) proved efficient in assessing the extent of the disease and response to treatment in RA and related disorders, and to provide accurate diagnosis in some systemic disorders, including PMR and LVV. Based on glucose metabolism, FDG-PET/CT is able to show increased metabolism in peripheral cells involved in inflammation (eg neutrophils, lymphocytes or monocytes/macrophages) but also in fibroblasts that proliferate in the pannus. The lack of specificity of FDG is a limitation and many alternative tracers were developed at the preclinical stage or applied in the clinics, especially within clinical trials. They include imaging of macrophages using translocator protein (TSPO), folate-receptors or other targets on activated cells. These new tools will undoubtedly become more and more available in the everyday clinical workup of patients with rheumatisms. Finally, it should be kept in mind that a very simple tracer, 18F-fluoride is widely more performant in AS than FDG.
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Affiliation(s)
- François Jamar
- Department of Nuclear Medicine, Cliniques universitaires St-Luc and Institute for Experimental and Clinical Research (IREC), Université Catholique de Louvain, Brussels, Belgium.
| | - Conny J van der Laken
- Department of Rheumatology, Amsterdam University Medical Center - location VU Medical Center, Amsterdam, The Netherlands
| | | | - Maarten M Steinz
- Department of Rheumatology, Amsterdam University Medical Center - location VU Medical Center, Amsterdam, The Netherlands
| | - Kornelis S M van der Geest
- Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Richard N J Graham
- Radiology Department, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques universitaires St-Luc and Institute for Experimental and Clinical Research (IREC), Université Catholique de Louvain, Brussels, Belgium
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Wu X, Liu D, Li Y, Xie Y, Tu L, Zhang Y, Zhang X, Fang L, Luo X, Lin Z, Liao Z, Rong L, Ren J, Zhou Y, Yang N, Xu J, Zhang H, Xu B, Wu Z, Zhan F, Li Z, Xiao W, Liu S, Zhou Y, Ye S, Lv Q, Zhang L, Zhao D, He S, Zhao L, Wu L, Lin H, Zhu Y, Guo D, Yang Z, Liu B, Yang K, Gu J. A clinical practice guideline for the screening and assessment of enthesitis in patients with spondyloarthritis. Front Immunol 2022; 13:978504. [PMID: 36172360 PMCID: PMC9510351 DOI: 10.3389/fimmu.2022.978504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of this review is to provide guidance on the selection of approaches to the screening and assessment of enthesitis in patients with spondyloarthritis (SpA). METHODS Twenty-four questions regarding the approaches to the screening and assessment of enthesitis and the implementation details were devised, followed by a systemic literature review. The Grading of Recommendations Assessment, Development, and Evaluation methodology was employed in the development of this guideline, with modifications to evaluate non-interventional approaches under comprehensive consideration of costs, accessibility, and evidence strength. A consensus from the voting panel was required for the inclusion of the final recommendations and the strength of each recommendation. RESULTS Seventeen recommendations (including five strong recommendations) were included in this guideline. The voting panel expressed unequivocal support for the necessity of screening and assessment of enthesitis in patients with SpA. It was agreed unanimously that symptom evaluation and physical examination should serve as the initial steps to the recognition of enthesitis, whereas Maastricht Ankylosing Spondylitis Enthesitis Score is a reliable tool in both clinical trials and daily medical practice. Ultrasound examination is another reliable tool, with power Doppler ultrasound as an informative addition. Notwithstanding its high resolution, MRI is limited by the costs and relatively low accessibility, whereas radiographs had low sensitivity and therefore should be rendered obsolete in the assessment of enthesitis. PET/CT was strongly opposed in the detection of enthesitis. CONCLUSION This guideline provides clinicians with information regarding the screening and assessment of enthesitis in patients with SpA. However, this guideline does not intend on dictating choices, and the ultimate decisions should be made in light of the actual circumstances of the facilities.
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Affiliation(s)
- Xinyu Wu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dong Liu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yanfei Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Ya Xie
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Liudan Tu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yanli Zhang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xi Zhang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Linkai Fang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiqing Luo
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhiming Lin
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zetao Liao
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Limin Rong
- Department of Spine Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jie Ren
- Department of Medical Ultrasonics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yuqi Zhou
- Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou>, China
| | - Niansheng Yang
- Department of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jian Xu
- Department of Internal Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hua Zhang
- Department of Rheumatology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Baijie Xu
- Department of Rheumatology, Jieyang People’s Hospital, Jieyang, China
| | - Zhenbiao Wu
- Department of Rheumatology, Tangdu Hospital of Air Force Military Medical University, Xian, China
| | - Feng Zhan
- Department of Rheumatology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zhenbin Li
- Department of Rheumatology, Bethune International Peace Hospital, People’s Liberation Army, Shijiazhuang, China
| | - Weiguo Xiao
- Department of Rheumatology, The First Hospital of China Medical University, Shenyang, China
| | - Shengyun Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yi Zhou
- Department of Rheumatology and Immunology, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shanhui Ye
- Department of Rheumatology and Immunology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qing Lv
- Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Lijun Zhang
- Department of Rheumatology, Shenzhen Hospital, The University of Hong Kong, Shenzhen, China
| | - Dongbao Zhao
- Department of Rheumatology and Immunology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Shanzhi He
- Department of Rheumatology, Zhongshan People’s Hospital, Zhongshan, China
| | - Like Zhao
- Department of Rheumatology and Immunology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lijun Wu
- Department of Rheumatology and Immunology, The People’s Hospital of the Xinjiang Uygur Autonomous Region, Urumqi, China
| | - He Lin
- Department of Rheumatology, Fujian Provincial Hospital, Fuzhou, China
| | - Yunxiao Zhu
- Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Donggeng Guo
- Department of Rheumatology and Immunology, Ningxia Clinical Institute of Bone and Joint Research, The Affiliated People’s Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China
| | - Zehong Yang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Budian Liu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Kehu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Jieruo Gu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Wang J, Zhu Q, Zhang S, Wen L, Wang L. Observation of Clinical Efficacy of Anisodamine and Chlorpromazine in the Treatment of Intractable Hiccup after Stroke. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6563193. [PMID: 35915796 PMCID: PMC9338746 DOI: 10.1155/2022/6563193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 11/18/2022]
Abstract
Objective This study is aimed at investigating the clinical efficacy of anisodamine combined with chlorpromazine on intractable hiccups after stroke. Methods 150 patients admitted to Affiliated Hospital of the Hebei University of Engineering from 2017 to 2021 were selected as the research objects, all of which received the computed tomography (CT) examination. During CT examination, intelligent algorithms were used to segment the images. An unsupervised multilayer image threshold segmentation algorithm was proposed by using Kullback-Leibler (K-L) divergence and the modified particle swarm optimization (MPSO) algorithm. All patients were divided into three groups, with each group of 50 patients. Patients in the control group (group A) took the calcium tablets, vitamin C tablets, and vitamin B1 tablets orally. Patients in the control group (group B) received the acupoint injection of anisodamine, and those in the observation group (group C) received the acupoint injection of anisodamine combined with chlorpromazine. The therapeutic effect and patient satisfaction of the three groups were compared. Results The two-dimensional (2D) K-L divergence was applied for the multilayer segmentation of images, which was helpful to obtain accurate images. The MPSO algorithm was adopted to reduce the computational complexity. The total efficiency of group C was 98%, that of group B was 56%, and that of group A was 22%. The total efficiency and satisfaction rate of group C were signally better than those of group A and group B (P < 0.05). Conclusion The combination of 2D K-L divergence and MPSO algorithm could improve the accuracy of multilayer image segmentation and CT imaging. Acupoint injection of anisodamine combined with chlorpromazine had better efficacy than the injection of anisodamine alone for the treatment of intractable hiccups after stroke, with high safety and clinical promotion value.
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Affiliation(s)
- Jing Wang
- Department of Neurology, Affiliated Hospital of Hebei University of Engineering, Handan, 056002 Hebei, China
| | - Qinghua Zhu
- Department of Neurology, Affiliated Hospital of Hebei University of Engineering, Handan, 056002 Hebei, China
| | - Shuyan Zhang
- Department of Neurology, Affiliated Hospital of Hebei University of Engineering, Handan, 056002 Hebei, China
| | - Lisha Wen
- Department of Neurology, Affiliated Hospital of Hebei University of Engineering, Handan, 056002 Hebei, China
| | - Li Wang
- Department of Neurology, Affiliated Hospital of Hebei University of Engineering, Handan, 056002 Hebei, China
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