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Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:6488889. [PMID: 35785062 PMCID: PMC9246643 DOI: 10.1155/2022/6488889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/25/2022] [Accepted: 05/10/2022] [Indexed: 11/17/2022]
Abstract
This work aimed to investigate the application value of the multimodal magnetic resonance imaging (MRI) algorithm based on the low-rank decomposition denoising (LRDD) in the diagnosis of knee osteoarthritis (KOA), so as to offer a better examination method in the clinic. Seventy-eight patients with KOA were selected as the research objects, and they all underwent T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fat suppression T2WI (SE-T2WI), and fat saturation T2WI (FS-T2WI). All obtained images were processed by using the I-LRDD algorithm. According to the degree of articular cartilage lesions under arthroscopy, the patients were divided into a group I, a group II, a group III, and a group IV. The sensitivity, specificity, accuracy, and consistency of KOA diagnosis of T1WI, T2WI, SE-T2WI, and FS-T2WI were analyzed by referring to the results of arthroscopy. The results showed that the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) of the I-LRDD algorithm used in this work were higher than those of image block priori denoising (IBPD) and LRDD, and the time consumption was lower than that of IBDP and LRDD (p < 0.05). The sensitivity, specificity, accuracy, and consistency (Kappa value) of multimodal MRI in the diagnosis of KOA were 88.61%, 85.3%, 87.37%, and 0.73%, respectively, which were higher than those of T1WI, T2WI, SE-T2WI, and FS-T2WI. The sensitivity, specificity, accuracy, and consistency of multimodal MRI in diagnosing lesions in group IV were 95%, 96.10%, 95.88%, and 0.70%, respectively, which were much higher than those in groups I, II, and III (p < 0.05). In conclusion, the LRDD algorithm shows a good image processing efficacy, and the multimodal MRI showed a good diagnosis effect on KOA, which was worthy of promotion clinically.
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Grävare Silbernagel K, Malliaras P, de Vos RJ, Hanlon S, Molenaar M, Alfredson H, van den Akker-Scheek I, Antflick J, van Ark M, Färnqvist K, Haleem Z, Kaux JF, Kirwan P, Kumar B, Lewis T, Mallows A, Masci L, Morrissey D, Murphy M, Newsham-West R, Norris R, O'Neill S, Peers K, Sancho I, Seymore K, Vallance P, van der Vlist A, Vicenzino B. ICON 2020-International Scientific Tendinopathy Symposium Consensus: A Systematic Review of Outcome Measures Reported in Clinical Trials of Achilles Tendinopathy. Sports Med 2022; 52:613-641. [PMID: 34797533 PMCID: PMC8891092 DOI: 10.1007/s40279-021-01588-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Nine core domains for tendinopathy have been identified. For Achilles tendinopathy there is large variation in outcome measures used, and how these fit into the core domains has not been investigated. OBJECTIVE To identify all available outcome measures outcome measures used to assess the clinical phenotype of Achilles tendinopathy in prospective studies and to map the outcomes measures into predefined health-related core domains. DESIGN Systematic review. DATA SOURCES Embase, MEDLINE (Ovid), Web of Science, CINAHL, The Cochrane Library, SPORTDiscus and Google Scholar. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Clinical diagnosis of Achilles tendinopathy, sample size ≥ ten participants, age ≥ 16 years, and the study design was a randomized or non-randomized clinical trial, observational cohort, single-arm intervention, or case series. RESULTS 9376 studies were initially screened and 307 studies were finally included, totaling 13,248 participants. There were 233 (177 core domain) different outcome measures identified across all domains. For each core domain outcome measures were identified, with a range between 8 and 35 unique outcome measures utilized for each domain. The proportion of studies that included outcomes for predefined core domains ranged from 4% for the psychological factors domain to 72% for the disability domain. CONCLUSION 233 unique outcome measures for Achilles tendinopathy were identified. Most frequently, outcome measures were used within the disability domain. Outcome measures assessing psychological factors were scarcely used. The next step in developing a core outcome set for Achilles tendinopathy is to engage patients, clinicians and researchers to reach consensus on key outcomes measures. PROSPERO REGISTRATION CRD42020156763.
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Affiliation(s)
- Karin Grävare Silbernagel
- Department of Physical Therapy, University of Delaware, 540 South College Avenue, Newark, DE, 19713, USA.
| | - Peter Malliaras
- Physiotherapy Department, School of Primary and Allied Health Care, Faculty of Medicine Nursing and Health Science, Monash University, Melbourne, VIC, Australia
| | - Robert-Jan de Vos
- Department of Orthopaedic Surgery and Sports Medicine, Erasmus MC University Medical Centre, Rotterdam, Zuid-Holland, The Netherlands
| | - Shawn Hanlon
- Department of Physical Therapy, University of Delaware, 540 South College Avenue, Newark, DE, 19713, USA
| | - Mitchel Molenaar
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Håkan Alfredson
- Department of Community Medicine and Rehabilitation, Rehabilitation Medicine, Umeå University, Umeå, Sweden
| | - Inge van den Akker-Scheek
- Department of Orthopedics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jarrod Antflick
- Department of Bioengineering, School of Engineering, Imperial College, London, UK
| | - Mathijs van Ark
- Department of Physiotherapy, School of Health Care Studies, Hanze University of Applied Sciences and Peescentrum, Centre of Expertise Primary Care Groningen (ECEZG), Groningen, The Netherlands
| | | | - Zubair Haleem
- Sports and Exercise Medicine, Queen Mary University of London, London, UK
- Arsenal Football Club, London, UK
| | - Jean-Francois Kaux
- Department of Physical and Rehabilitation Medicine and Sports Traumatology, University and University Hospital of Liège, Liège, Belgium
| | - Paul Kirwan
- School of Physiotherapy, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Bhavesh Kumar
- Institute of Sport Exercise and Health (ISEH), University College London, London, UK
| | - Trevor Lewis
- Aintree University Hospital, Liverpool Foundation Trust, Liverpool, UK
| | - Adrian Mallows
- School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, UK
| | - Lorenzo Masci
- Institute of Sport Exercise and Health (ISEH), University College London, London, UK
| | - Dylan Morrissey
- Sports and Exercise Medicine, Queen Mary University of London, London, UK
| | - Myles Murphy
- National School of Nursing, Midwifery, Health Sciences and Physiotherapy, The University of Notre Dame Australia, Fremantle, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Richard Newsham-West
- School of Allied Health, Department of Physiotherapy, La Trobe University, Melbourne, VIC, Australia
| | - Richard Norris
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Liverpool University Hospitals, NHS Foundation Trust, Liverpool, UK
| | - Seth O'Neill
- School of Allied Health, University of Leicester, Leicester, UK
| | - Koen Peers
- Department of Physical and Rehabilitation Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Igor Sancho
- Sports and Exercise Medicine, Queen Mary University of London, London, UK
- Physiotherapy Department, University of Deusto, San Sebastian, Spain
| | - Kayla Seymore
- Department of Physical Therapy, University of Delaware, 540 South College Avenue, Newark, DE, 19713, USA
| | - Patrick Vallance
- Physiotherapy Department, School of Primary and Allied Health Care, Faculty of Medicine Nursing and Health Science, Monash University, Clayton, VIC, Australia
| | - Arco van der Vlist
- Department of Orthopaedics and Sports Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Bill Vicenzino
- School of Health and Rehabilitation Sciences: Physiotherapy, The University of Queensland, Brisbane, QLD, Australia
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Florkow MC, Willemsen K, Mascarenhas VV, Oei EHG, van Stralen M, Seevinck PR. Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review. J Magn Reson Imaging 2022; 56:11-34. [PMID: 35044717 PMCID: PMC9305220 DOI: 10.1002/jmri.28067] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/31/2021] [Accepted: 01/05/2022] [Indexed: 12/18/2022] Open
Abstract
Magnetic resonance imaging (MRI) is increasingly utilized as a radiation‐free alternative to computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal pathologies. MR imaging of hard tissues such as cortical bone remains challenging due to their low proton density and short transverse relaxation times, rendering bone tissues as nonspecific low signal structures on MR images obtained from most sequences. Developments in MR image acquisition and post‐processing have opened the path for enhanced MR‐based bone visualization aiming to provide a CT‐like contrast and, as such, ease clinical interpretation. The purpose of this review is to provide an overview of studies comparing MR and CT imaging for diagnostic and treatment planning purposes in orthopedic care, with a special focus on selective bone visualization, bone segmentation, and three‐dimensional (3D) modeling. This review discusses conventional gradient‐echo derived techniques as well as dedicated short echo time acquisition techniques and post‐processing techniques, including the generation of synthetic CT, in the context of 3D and specific bone visualization. Based on the reviewed literature, it may be concluded that the recent developments in MRI‐based bone visualization are promising. MRI alone provides valuable information on both bone and soft tissues for a broad range of applications including diagnostics, 3D modeling, and treatment planning in multiple anatomical regions, including the skull, spine, shoulder, pelvis, and long bones.
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Affiliation(s)
- Mateusz C Florkow
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Koen Willemsen
- Department of Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Vasco V Mascarenhas
- Musculoskeletal Imaging Unit, Imaging Center, Hospital da Luz, Lisbon, Portugal
| | - Edwin H G Oei
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marijn van Stralen
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.,MRIguidance BV, Utrecht, The Netherlands
| | - Peter R Seevinck
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.,MRIguidance BV, Utrecht, The Netherlands
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van Lieshout WAM, van Oost I, Koenraadt KLM, Elmans LHGJ, van Geenen RCI. The effect of restored medial knee anatomy in total knee arthroplasty with the flexion first balancer technique on mid-flexion laxity and functional outcome. BMC Musculoskelet Disord 2021; 22:1029. [PMID: 34886819 PMCID: PMC8656087 DOI: 10.1186/s12891-021-04869-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 11/15/2021] [Indexed: 11/20/2022] Open
Abstract
Background The Flexion First Balancer (FFB) technique for total knee arthroplasty (TKA) was developed to maintain the isometry of the medial collateral ligament (MCL) by restoring the medial anatomy of the knee. Inability to correct MCL isometry could hypothetically result in an increased mid-flexion laxity. The aim of the current study was to evaluate if the FFB technique results in improved functional outcome and less mid-flexion laxity compared to Measured Resection (MR). Methods A cross-sectional study was performed comparing 27 FFB patients with 28 MR patients. Groups were matched for age, gender, BMI and ASA classification. All patient received the cruciate retained type, Vanguard Complete Knee System (Biomet Orthopedics, Warsaw, IN, USA). Stress X-rays of the knee with 30 degrees of flexion were made to assess varus-valgus laxity. Furthermore, three tests were conducted to asses functional outcome: a 6 min walk test, a stair climb test and quadriceps peak force measurements. Mean follow-up was respectively 2.6 (SD 0.4) and 3.9 years (SD 0.2). Results The MR group showed a postoperative elevation in joint line in contrast to the FFB group, the mean difference between the two groups was 3 mm (p < 0.001). No differences in total laxity between the two groups was found. The FFB group showed a higher quadriceps peak force (1.67 (SD 0.55) N/BMI) in comparison with the MR group (1.38 (SD 0.48) N/BMI) (p < 0.05). All other outcome parameters were comparable between the two groups (p: n.s.). Correlation analysis showed a moderate negative correlation between joint line elevation and quadriceps peak force (r = − 0.29, p < 0.05). Conclusion The FFB technique did not lead to less coronal laxity in the mid-flexion range compared to MR. Although peak quadriceps force was significantly higher for the FFB group no clinically relevant benefits could be identified for the patients with regards to functional outcome. Therefore, minor deviations in joint line seems to have no effect on functional outcome after TKA. Trial registration ISRCTN, ISRCTN85351296. Registered 23 april 2021 - Retrospectively registered, https://www.isrctn.com/ISRCTN85351296
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Affiliation(s)
- W A M van Lieshout
- Department of Orthopedic Surgery, Molengracht 21, Amphia Breda, 4818 CK, The Netherlands.
| | - I van Oost
- Foundation for Orthopaedic Research, Care & Education (FORCE), Amphia Breda, The Netherlands
| | - K L M Koenraadt
- Foundation for Orthopaedic Research, Care & Education (FORCE), Amphia Breda, The Netherlands
| | - L H G J Elmans
- Department of Orthopedic Surgery, Molengracht 21, Amphia Breda, 4818 CK, The Netherlands
| | - R C I van Geenen
- Department of Orthopedic Surgery, Molengracht 21, Amphia Breda, 4818 CK, The Netherlands
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