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Fritz J, Rashidi A, de Cesar Netto C. Magnetic Resonance Imaging of Total Ankle Arthroplasty: State-of-The-Art Assessment of Implant-Related Pain and Dysfunction. Clin Podiatr Med Surg 2024; 41:619-647. [PMID: 39237176 DOI: 10.1016/j.cpm.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2024]
Abstract
Total ankle arthroplasty (TAA) is an effective alternative for treating patients with end-stage ankle degeneration, improving mobility, and providing pain relief. Implant survivorship is constantly improving; however, complications occur. Many causes of pain and dysfunction after total ankle arthroplasty can be diagnosed accurately with clinical examination, laboratory, radiography, and computer tomography. However, when there are no or inconclusive imaging findings, magnetic resonance imaging (MRI) is highly accurate in identifying and characterizing bone resorption, osteolysis, infection, osseous stress reactions, nondisplaced fractures, polyethylene damage, nerve injuries and neuropathies, as well as tendon and ligament tears. Multiple vendors offer effective, clinically available MRI techniques for metal artifact reduction MRI of total ankle arthroplasty. This article reviews the MRI appearances of common TAA implant systems, clinically available techniques and protocols for metal artifact reduction MRI of TAA implants, and the MRI appearances of a broad spectrum of TAA-related complications.
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Affiliation(s)
- Jan Fritz
- Department of Orthopedic Surgery, Division of Foot and Ankle Surgery, Duke University, Durham, NC, USA.
| | - Ali Rashidi
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, 660 1st Ave, 3rd Floor, Rm 313, New York, NY 10016, USA
| | - Cesar de Cesar Netto
- Department of Radiology, Molecular Imaging Program at StanDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
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Wu W, Ding Y, Su Y, Wang Y, Liu T, Liu D, Li C, Zheng C, Wang L, Long X. Contrast-enhanced magnetic resonance neurography for diagnosing brachial plexopathy: improved visualization and additional imaging features. Sci Rep 2024; 14:20758. [PMID: 39237747 PMCID: PMC11377534 DOI: 10.1038/s41598-024-71554-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 08/28/2024] [Indexed: 09/07/2024] Open
Abstract
Contrast-enhanced magnetic resonance neurography (CE-MRN) holds promise for diagnosing brachial plexopathy by enhancing nerve visualization and revealing additional imaging features in various lesions. This study aims to validate CE-MRN's efficacy in improving brachial plexus (BP) imaging across different patient cohorts. Seventy-one subjects, including 19 volunteers and 52 patients with BP compression/entrapment, injury, and neoplasms, underwent both CE-MRN and plain MRN. Two radiologists assessed nerve visibility, with inter-reader agreement evaluated. Quantitative parameters such as signal intensity (SI), contrast-to-noise ratio (CNR), and contrast ratio (CR) of the C7 nerve were measured. Both qualitative scoring and quantitative metrics were compared between CE-MRN and plain MRN within each patient group. Patient classification followed the Neuropathy Score Reporting and Data System (NS-RADS), summarizing additional imaging features for each brachial plexopathy type. Inter-reader agreement for qualitative assessment was strong. CE-MRN significantly enhanced BP visualization and nerve-tissue contrast across all cohorts, particularly in volunteers and patients with injuries. It also uncovered additional imaging features such as hypointense signals in ganglia, compressed nerve sites, and neoplastic enhancements. CE-MRN effectively mitigated muscle edema and vascular contamination, enabling precise classification of BP injuries. Overall, CE-MRN consistently enhances BP visualization and provides valuable imaging features for accurate diagnosis.
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Affiliation(s)
- Wenjun Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
| | - Yuhong Ding
- Department of Radiology, Yijishan Hospital, Wannan Medical College, No.2 Zheshan West Road, Wuhu, 241001, Anhui, China
| | - Yu Su
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
| | - Youzhi Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
| | - Tingting Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
| | - Dingxi Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Chungao Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Lixia Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xi Long
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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Chhabra A, Duarte Silva F, Mogharrabi B, Guirguis M, Ashikyan O, Rasper M, Park E, Walter SS, Umpierrez M, Pezeshk P, Thurlow PC, Jagadale A, Bajaj G, Komarraju A, Wu JS, Aguilera A, Cardoso FN, Souza F, Chaganti S, Antil N, Manzano W, Stebner A, Evers J, Petterson M, Geisbush T, Downing C, Christensen D, Horneber E, Kim JM, Purushothaman R, Mohanan S, Raichandani S, Vilanilam G, Cabrera C, Manov J, Maloney S, Deshmukh SD, Lutz AM, Fritz J, Andreisek G, Chalian M, Wong PK, Pandey T, Subhawong T, Xi Y. MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers. Eur Radiol 2024; 34:5228-5238. [PMID: 38244046 DOI: 10.1007/s00330-023-10517-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/04/2023] [Accepted: 11/16/2023] [Indexed: 01/22/2024]
Abstract
OBJECTIVE To determine the inter-reader reliability and diagnostic performance of classification and severity scales of Neuropathy Score Reporting And Data System (NS-RADS) among readers of differing experience levels after limited teaching of the scoring system. METHODS This is a multi-institutional, cross-sectional, retrospective study of MRI cases of proven peripheral neuropathy (PN) conditions. Thirty-two radiology readers with varying experience levels were recruited from different institutions. Each reader attended and received a structured presentation that described the NS-RADS classification system containing examples and reviewed published articles on this subject. The readers were then asked to perform NS-RADS scoring with recording of category, subcategory, and most likely diagnosis. Inter-reader agreements were evaluated by Conger's kappa and diagnostic accuracy was calculated for each reader as percent correct diagnosis. A linear mixed model was used to estimate and compare accuracy between trainees and attendings. RESULTS Across all readers, agreement was good for NS-RADS category and moderate for subcategory. Inter-reader agreement of trainees was comparable to attendings (0.65 vs 0.65). Reader accuracy for attendings was 75% (95% CI 73%, 77%), slightly higher than for trainees (71% (69%, 72%), p = 0.0006) for nerves and comparable for muscles (attendings, 87.5% (95% CI 86.1-88.8%) and trainees, 86.6% (95% CI 85.2-87.9%), p = 0.4). NS-RADS accuracy was also higher than average accuracy for the most plausible diagnosis for attending radiologists at 67% (95% CI 63%, 71%) and for trainees at 65% (95% CI 60%, 69%) (p = 0.036). CONCLUSION Non-expert radiologists interpreted PN conditions with good accuracy and moderate-to-good inter-reader reliability using the NS-RADS scoring system. CLINICAL RELEVANCE STATEMENT The Neuropathy Score Reporting And Data System (NS-RADS) is an accurate and reliable MRI-based image scoring system for practical use for the diagnosis and grading of severity of peripheral neuromuscular disorders by both experienced and general radiologists. KEY POINTS • The Neuropathy Score Reporting And Data System (NS-RADS) can be used effectively by non-expert radiologists to categorize peripheral neuropathy. • Across 32 different experience-level readers, the agreement was good for NS-RADS category and moderate for NS-RADS subcategory. • NS-RADS accuracy was higher than the average accuracy for the most plausible diagnosis for both attending radiologists and trainees (at 75%, 71% and 65%, 65%, respectively).
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Affiliation(s)
- Avneesh Chhabra
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
- Department of Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
- Johns Hopkins University, Baltimore, MD, USA.
- University of Dallas, Richardson, TX, USA.
- Walton Centre for Neuroscience, Liverpool, UK.
| | - Flavio Duarte Silva
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
| | - Bayan Mogharrabi
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
- Transition Year Residency, John Peter Smith Hospital, Fort Worth, USA
| | - Mina Guirguis
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
| | - Oganes Ashikyan
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
| | - Michael Rasper
- Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland
| | - Eunhae Park
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA
- Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Sven S Walter
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA
- Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tübingen, Germany
| | - Monica Umpierrez
- Division of Musculoskeletal Radiology, Department of Radiology and Imaging Services, Emory University School of Medicine, Atlanta, GA, USA
| | - Parham Pezeshk
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
| | - Peter C Thurlow
- Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
| | - Akshaya Jagadale
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Gitanjali Bajaj
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Aparna Komarraju
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jim S Wu
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Antonio Aguilera
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Fabiano Nassar Cardoso
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Felipe Souza
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Neha Antil
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Wilfred Manzano
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Alexander Stebner
- Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland
| | - Jochen Evers
- Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland
| | | | - Thomas Geisbush
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Chad Downing
- Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
| | - Diana Christensen
- Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
| | - Elizabeth Horneber
- Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
| | - Jun Man Kim
- Division of Musculoskeletal Radiology, Department of Radiology and Imaging Services, Emory University School of Medicine, Atlanta, GA, USA
| | | | - Shilpa Mohanan
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Surbhi Raichandani
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - George Vilanilam
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Clementina Cabrera
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - John Manov
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sean Maloney
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Swati D Deshmukh
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Amelie M Lutz
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA
- Transition Year Residency, John Peter Smith Hospital, Fort Worth, USA
| | - Jan Fritz
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA
| | - Gustav Andreisek
- Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland
| | - Majid Chalian
- Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA
| | - Philip K Wong
- Division of Musculoskeletal Radiology, Department of Radiology and Imaging Services, Emory University School of Medicine, Atlanta, GA, USA
| | - Tarun Pandey
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ty Subhawong
- Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Yin Xi
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA
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Thornton T, Xia S, Zuniga JR, Chhabra A. Utility of MR Neurography for the Evaluation of Peripheral Trigeminal Neuropathies in the Postoperative Period. AJNR Am J Neuroradiol 2024; 45:525-531. [PMID: 38423745 PMCID: PMC11288565 DOI: 10.3174/ajnr.a8152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/20/2023] [Indexed: 03/02/2024]
Abstract
Peripheral trigeminal neuropathies are assessed by MR neurography for presurgical mapping. In this clinical report, we aimed to understand the utility of MR neurography following nerve-repair procedures. We hypothesized that postoperative MR neurography assists in determining nerve integrity, and worsening MR neurography findings will corroborate poor patient outcomes. Ten patients with peripheral trigeminal neuropathy were retrospectively identified after nerve-repair procedures, with postsurgical MR neurography performed from July 2015 to September 2023. Postsurgical MR neurography findings were graded as per postintervention category and subcategories of the Neuropathy Score Reporting and Data System (NS-RADS). Descriptive statistics of demographics, inciting injury, injury severity, NS-RADS scoring, and clinical outcomes were obtained. There were 6 women and 4 men (age range, 25-73 years). Most injuries resulted from third molar removals (8/10), with an average time from the inciting event to nerve-repair surgery of 6.1 (SD, 4.6) months. In Neuropathy Score Reporting and Data System-Injury (NS-RADS I), NS-RADS I-4 injuries (neuroma in continuity) were found in 8/10 patients, and NS-RADS I-5 injuries were found in the remaining patients, all confirmed at surgery. Surgeries performed included microdissection with neurolysis, neuroma excision, and nerve allograft with Axoguard protection. Three patients with expected postsurgical MR neurography findings experienced either partial improvement or complete symptom resolution, while among 7 patient with persistent or recurrent neuropathy on postsurgical MR neurography, one demonstrated partial improvement of sensation, pain, and taste and one experienced only pain improvement; the remaining 5 patients demonstrated no improvement. Postsurgical MR neurography consistently coincided with clinical outcomes related to pain, sensation, and lip biting and speech challenges. Lip biting and speech challenges were most amenable to recovery, even with evidence of persistent nerve pathology on postsurgical MR neurography.
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Affiliation(s)
- Tyler Thornton
- From the University of North Texas Health Science Center (T.T.), Fort Worth, Texas
| | - Shuda Xia
- University of Texas Southwestern Medical Center (S.X.), Dallas, Texas
| | - John R Zuniga
- Department of Oral and Maxillofacial Surgery (J.R.Z.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - Avneesh Chhabra
- Department Radiology (A.C.), University of Texas Southwestern Medical Center, Dallas, Texas
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Eajazi A, Weinschenk C, Chhabra A. Imaging Biomarkers of Peripheral Nerves: Focus on Magnetic Resonance Neurography and Ultrasonography. Semin Musculoskelet Radiol 2024; 28:92-102. [PMID: 38330973 DOI: 10.1055/s-0043-1776427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Peripheral neuropathy is a prevalent and debilitating condition affecting millions of individuals globally. Magnetic resonance neurography (MRN) and ultrasonography (US) are noninvasive methods offering comprehensive visualization of peripheral nerves, using anatomical and functional imaging biomarkers to ensure accurate evaluation. For optimized MRN, superior and high-resolution two-dimensional and three-dimensional imaging protocols are essential. The anatomical MRN and US imaging markers include quantitative measures of nerve and fascicular size and signal, and qualitative markers of course and morphology. Among them, quantitative markers of T2-signal intensity ratio are sensitive to nerve edema-like signal changes, and the T1-mapping technique reveals nerve and muscle tissue fatty and fibrous compositional alterations.The functional markers are derived from physiologic properties of nerves, such as diffusion characteristics or blood flow. They include apparent diffusion coefficient from diffusion-weighted imaging and fractional anisotropy and tractography from diffusion tensor imaging to delve into peripheral nerve microstructure and integrity. Peripheral nerve perfusion using dynamic contrast-enhanced magnetic resonance imaging estimates perfusion parameters, offering insights into nerve health and neuropathies involving edema, inflammation, demyelination, and microvascular alterations in conditions like type 2 diabetes, linking nerve conduction pathophysiology to vascular permeability alterations.Imaging biomarkers thus play a pivotal role in the diagnosis, prognosis, and monitoring of nerve pathologies, thereby ensuring comprehensive assessment and elevating patient care. These biomarkers provide valuable insights into nerve structure, function, and pathophysiology, contributing to the accurate diagnosis and management planning for peripheral neuropathy.
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Affiliation(s)
- Alireza Eajazi
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
| | - Cindy Weinschenk
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
| | - Avneesh Chhabra
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
- Department of Radiology & Orthopedic Surgery, UT Southwestern Medical Center, Dallas, Texas
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Parillo M, Mallio CA, Van der Molen AJ, Rovira À, Dekkers IA, Karst U, Stroomberg G, Clement O, Gianolio E, Nederveen AJ, Radbruch A, Quattrocchi CC. The role of gadolinium-based contrast agents in magnetic resonance imaging structured reporting and data systems (RADS). MAGMA (NEW YORK, N.Y.) 2024; 37:15-25. [PMID: 37702845 PMCID: PMC10876744 DOI: 10.1007/s10334-023-01113-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/22/2023] [Accepted: 07/13/2023] [Indexed: 09/14/2023]
Abstract
Among the 28 reporting and data systems (RADS) available in the literature, we identified 15 RADS that can be used in Magnetic Resonance Imaging (MRI). Performing examinations without using gadolinium-based contrast agents (GBCA) has benefits, but GBCA administration is often required to achieve an early and accurate diagnosis. The aim of the present review is to summarize the current role of GBCA in MRI RADS. This overview suggests that GBCA are today required in most of the current RADS and are expected to be used in most MRIs performed in patients with cancer. Dynamic contrast enhancement is required for correct scores calculation in PI-RADS and VI-RADS, although scientific evidence may lead in the future to avoid the GBCA administration in these two RADS. In Bone-RADS, contrast enhancement can be required to classify an aggressive lesion. In RADS scoring on whole body-MRI datasets (MET-RADS-P, MY-RADS and ONCO-RADS), in NS-RADS and in Node-RADS, GBCA administration is optional thanks to the intrinsic high contrast resolution of MRI. Future studies are needed to evaluate the impact of the high T1 relaxivity GBCA on the assignment of RADS scores.
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Affiliation(s)
- Marco Parillo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Carlo Augusto Mallio
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Aart J Van der Molen
- Department of Radiology, C-2S, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ilona A Dekkers
- Department of Radiology, C-2S, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Uwe Karst
- Institute of Inorganic and Analytical Chemistry, University of Münster, Corrensstr. 48, 48149, Münster, Germany
| | - Gerard Stroomberg
- RIWA-Rijn-Association of River Water Works, Groenendael 6, 3439 LV, Nieuwegein, The Netherlands
| | - Olivier Clement
- Service de Radiologie, Université de Paris, AP-HP, Hôpital Européen Georges Pompidou, DMU Imagina, 20 Rue LeBlanc, 75015, Paris, France
| | - Eliana Gianolio
- Department of Molecular Biotechnologies and Health Science, University of Turin, Via Nizza 52, 10125, Turin, Italy
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Alexander Radbruch
- Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127, Bonn, Germany
| | - Carlo Cosimo Quattrocchi
- Centre for Medical Sciences-CISMed, University of Trento, Via S. Maria Maddalena 1, 38122, Trento, Italy.
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7
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Fritz J, Rashidi A, de Cesar Netto C. Magnetic Resonance Imaging of Total Ankle Arthroplasty: State-of-The-Art Assessment of Implant-Related Pain and Dysfunction. Foot Ankle Clin 2023; 28:463-492. [PMID: 37536814 DOI: 10.1016/j.fcl.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Total ankle arthroplasty (TAA) is an effective alternative for treating patients with end-stage ankle degeneration, improving mobility, and providing pain relief. Implant survivorship is constantly improving; however, complications occur. Many causes of pain and dysfunction after total ankle arthroplasty can be diagnosed accurately with clinical examination, laboratory, radiography, and computer tomography. However, when there are no or inconclusive imaging findings, magnetic resonance imaging (MRI) is highly accurate in identifying and characterizing bone resorption, osteolysis, infection, osseous stress reactions, nondisplaced fractures, polyethylene damage, nerve injuries and neuropathies, as well as tendon and ligament tears. Multiple vendors offer effective, clinically available MRI techniques for metal artifact reduction MRI of total ankle arthroplasty. This article reviews the MRI appearances of common TAA implant systems, clinically available techniques and protocols for metal artifact reduction MRI of TAA implants, and the MRI appearances of a broad spectrum of TAA-related complications.
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Affiliation(s)
- Jan Fritz
- Department of Orthopedic Surgery, Division of Foot and Ankle Surgery, Duke University, Durham, NC, USA.
| | - Ali Rashidi
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, 660 1st Ave, 3rd Floor, Rm 313, New York, NY 10016, USA
| | - Cesar de Cesar Netto
- Department of Radiology, Molecular Imaging Program at StanDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
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8
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Park EH, Fritz J. The role of imaging in osteoarthritis. Best Pract Res Clin Rheumatol 2023; 37:101866. [PMID: 37659890 DOI: 10.1016/j.berh.2023.101866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/08/2023] [Accepted: 08/13/2023] [Indexed: 09/04/2023]
Abstract
Osteoarthritis is a complex whole-organ disorder that involves molecular, anatomic, and physiologic derangement. Advances in imaging techniques have expanded the role of imaging in evaluating osteoarthritis and functional changes. Radiography, magnetic resonance imaging, computed tomography (CT), and ultrasonography are commonly used imaging modalities, each with advantages and limitations in evaluating osteoarthritis. Radiography comprehensively analyses alignment and osseous features, while MRI provides detailed information about cartilage damage, bone marrow edema, synovitis, and soft tissue abnormalities. Compositional imaging derives quantitative data for detecting cartilage and tendon degeneration before structural damage occurs. Ultrasonography permits real-time scanning and dynamic joint evaluation, whereas CT is useful for assessing final osseous detail. Imaging plays an essential role in the diagnosis, management, and research of osteoarthritis. The use of imaging can help differentiate osteoarthritis from other diseases with similar symptoms, and recent advances in deep learning have made the acquisition, management, and interpretation of imaging data more efficient and accurate. Imaging is useful in monitoring and predicting the prognosis of osteoarthritis, expanding our understanding of its pathophysiology. Ultimately, this enables early detection and personalized medicine for patients with osteoarthritis. This article reviews the current state of imaging in osteoarthritis, focusing on the strengths and limitations of various imaging modalities, and introduces advanced techniques, including deep learning, applied in clinical practice.
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Affiliation(s)
- Eun Hae Park
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York, USA; Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Jan Fritz
- Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York, USA.
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Amrami KK, Khanna A, Frick MA, Spinner RJ. Imaging Peripheral Nerve Injuries of the Lower Extremities: What Surgeons Need to Know. Semin Ultrasound CT MR 2023. [DOI: 10.1053/j.sult.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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Pellerino A, Verdijk RM, Nichelli L, Andratschke NH, Idbaih A, Goldbrunner R. Diagnosis and Treatment of Peripheral and Cranial Nerve Tumors with Expert Recommendations: An EUropean Network for RAre CANcers (EURACAN) Initiative. Cancers (Basel) 2023; 15:cancers15071930. [PMID: 37046591 PMCID: PMC10093509 DOI: 10.3390/cancers15071930] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/12/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
The 2021 WHO classification of the CNS Tumors identifies as "Peripheral nerve sheath tumors" (PNST) some entities with specific clinical and anatomical characteristics, histological and molecular markers, imaging findings, and aggressiveness. The Task Force has reviewed the evidence of diagnostic and therapeutic interventions, which is particularly low due to the rarity, and drawn recommendations accordingly. Tumor diagnosis is primarily based on hematoxylin and eosin-stained sections and immunohistochemistry. Molecular analysis is not essential to establish the histological nature of these tumors, although genetic analyses on DNA extracted from PNST (neurofibromas/schwannomas) is required to diagnose mosaic forms of NF1 and SPS. MRI is the gold-standard to delineate the extension with respect to adjacent structures. Gross-total resection is the first choice, and can be curative in benign lesions; however, the extent of resection must be balanced with preservation of nerve functioning. Radiotherapy can be omitted in benign tumors after complete resection and in NF-related tumors, due to the theoretic risk of secondary malignancies in a tumor-suppressor syndrome. Systemic therapy should be considered in incomplete resected plexiform neurofibromas/MPNSTs. MEK inhibitor selumetinib can be used in NF1 children ≥2 years with inoperable/symptomatic plexiform neurofibromas, while anthracycline-based treatment is the first choice for unresectable/locally advanced/metastatic MPNST. Clinical trials on other MEK1-2 inhibitors alone or in combination with mTOR inhibitors are under investigation in plexiform neurofibromas and MPNST, respectively.
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Affiliation(s)
- Alessia Pellerino
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science Hospital, 10126 Turin, Italy
| | - Robert M Verdijk
- Department of Pathology, Section Ophthalmic Pathology, Erasmus MC University Medical Center Rotterdam, 3015 Rotterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, 2333 Leiden, The Netherlands
| | - Lucia Nichelli
- Department of Neuroradiology, Sorbonne Université, 75005 Paris, France
- Assistance Publique-Hôpitaux de Paris, 75610 Paris, France
- Groupe Hospitalier Pitié-Salpêtrière-Charles Foix, 75013 Paris, France
| | - Nicolaus H Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland
| | - Ahmed Idbaih
- AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Sorbonne Université, 75005 Paris, France
- Inserm, CNRS, UMR S 1127, Institut du Cerveau-Paris Brain Institute, 75013 Paris, France
- ICM, Service de Neurologie 2-Mazarin, 75013 Paris, France
| | - Roland Goldbrunner
- Center for Neurosurgery, Department of General Neurosurgery, University of Cologne, 50923 Cologne, Germany
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Neuropathy Score Reporting and Data System (NS-RADS): MRI Reporting Guideline of Peripheral Neuropathy Explained and Reviewed. Skeletal Radiol 2022; 51:1909-1922. [PMID: 35478047 DOI: 10.1007/s00256-022-04061-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 02/02/2023]
Abstract
A standardized guideline and scoring system should be used for the MR imaging diagnosis of peripheral neuropathy. The MR imaging-based Neuropathy Score Reporting and Data System (NS-RADS) is a newly devised classification system (in press in AJR) that can be used to communicate both type and severity of peripheral neuropathy in the light of clinical history and examination findings. The spectrum of neuropathic conditions and peripheral nerve disorders covered in this system includes nerve injury, entrapment, neoplasm, diffuse neuropathy, and post-interventional states. This classification system also describes the temporal MR imaging appearances of regional muscle denervation changes. This review article is based on the multicenter validation study pre-published in American journal of Roentgenology and discusses technical considerations of optimal MR imaging for peripheral nerve evaluation and discusses the NS-RADS classification and its severity scales with illustration of conditions that fall under each classification. The readers can gain knowledge of the NS-RADS classification system and learn to apply it in their practices for improved inter-disciplinary communications and timely patient management.
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