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Carrino JA, Ibad H, Lin Y, Ghotbi E, Klein J, Demehri S, Del Grande F, Bogner E, Boesen MP, Siewerdsen JH. CT in musculoskeletal imaging: still helpful and for what? Skeletal Radiol 2024; 53:1711-1725. [PMID: 38969781 DOI: 10.1007/s00256-024-04737-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 06/17/2024] [Accepted: 06/17/2024] [Indexed: 07/07/2024]
Abstract
Computed tomography (CT) is a common modality employed for musculoskeletal imaging. Conventional CT techniques are useful for the assessment of trauma in detection, characterization and surgical planning of complex fractures. CT arthrography can depict internal derangement lesions and impact medical decision making of orthopedic providers. In oncology, CT can have a role in the characterization of bone tumors and may elucidate soft tissue mineralization patterns. Several advances in CT technology have led to a variety of acquisition techniques with distinct clinical applications. These include four-dimensional CT, which allows examination of joints during motion; cone-beam CT, which allows examination during physiological weight-bearing conditions; dual-energy CT, which allows material decomposition useful in musculoskeletal deposition disorders (e.g., gout) and bone marrow edema detection; and photon-counting CT, which provides increased spatial resolution, decreased radiation, and material decomposition compared to standard multi-detector CT systems due to its ability to directly translate X-ray photon energies into electrical signals. Advanced acquisition techniques provide higher spatial resolution scans capable of enhanced bony microarchitecture and bone mineral density assessment. Together, these CT acquisition techniques will continue to play a substantial role in the practices of orthopedics, rheumatology, metabolic bone, oncology, and interventional radiology.
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Affiliation(s)
- John A Carrino
- Weill Cornell Medicine, New York, NY, USA.
- Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
| | - Hamza Ibad
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Yenpo Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Elena Ghotbi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Joshua Klein
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Shadpour Demehri
- Musculoskeletal Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N. Caroline Street, JHOC 5165, Baltimore, MD, 21287, USA
| | - Filippo Del Grande
- Clinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università Della Svizzera Italiana (USI), Via G. Buffi 13, 6904, Lugano, Switzerland
| | - Eric Bogner
- Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA
| | - Mikael P Boesen
- Department of Radiology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Nielsine Nielsens Vej 5, Entrance 7A, 3Rd Floor, 2400, Copenhagen, NV, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeffrey H Siewerdsen
- Department of Imaging Physics, Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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2
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Demehri S, Baffour FI, Klein JG, Ghotbi E, Ibad HA, Moradi K, Taguchi K, Fritz J, Carrino JA, Guermazi A, Fishman EK, Zbijewski WB. Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions. Radiology 2023; 308:e230344. [PMID: 37606571 PMCID: PMC10477515 DOI: 10.1148/radiol.230344] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/28/2023] [Accepted: 05/15/2023] [Indexed: 08/23/2023]
Abstract
CT is one of the most widely used modalities for musculoskeletal imaging. Recent advancements in the field include the introduction of four-dimensional CT, which captures a CT image during motion; cone-beam CT, which uses flat-panel detectors to capture the lower extremities in weight-bearing mode; and dual-energy CT, which operates at two different x-ray potentials to improve the contrast resolution to facilitate the assessment of tissue material compositions such as tophaceous gout deposits and bone marrow edema. Most recently, photon-counting CT (PCCT) has been introduced. PCCT is a technique that uses photon-counting detectors to produce an image with higher spatial and contrast resolution than conventional multidetector CT systems. In addition, postprocessing techniques such as three-dimensional printing and cinematic rendering have used CT data to improve the generation of both physical and digital anatomic models. Last, advancements in the application of artificial intelligence to CT imaging have enabled the automatic evaluation of musculoskeletal pathologies. In this review, the authors discuss the current state of the above CT technologies, their respective advantages and disadvantages, and their projected future directions for various musculoskeletal applications.
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Affiliation(s)
- Shadpour Demehri
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Francis I. Baffour
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Joshua G. Klein
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elena Ghotbi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Hamza Ahmed Ibad
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Kamyar Moradi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Katsuyuki Taguchi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - John A. Carrino
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Ali Guermazi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elliot K. Fishman
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Wojciech B. Zbijewski
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
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Winter P, Rother S, Orth P, Fritsch E. [Innovative image-based planning in musculoskeletal surgery]. ORTHOPADIE (HEIDELBERG, GERMANY) 2023:10.1007/s00132-023-04393-3. [PMID: 37286621 DOI: 10.1007/s00132-023-04393-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/03/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND For the preparation of surgical procedures in orthopedics and trauma surgery, precise knowledge of imaging and the three-dimensional imagination of the surgeon are of outstanding importance. Image-based, preoperative two-dimensional planning is the gold standard in arthroplasty today. In complex cases, further imaging such as computed tomography (CT) or magnetic resonance imaging is also performed, generating a three-dimensional model of the body region and helping the surgeon in the planning of the surgical treatment. Four-dimensional, dynamic CT studies have also been reported and are available as a complementary tool. DIGITAL AIDS Furthermore, digital aids should generate an improved representation of the pathology to be treated and optimize the surgeon's imagination. The finite element method allows patient-specific and implant-specific parameters to be taken into account in preoperative surgical planning. Intraoperatively, relevant information can be provided by augmented reality without significantly influencing the surgical workflow.
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Affiliation(s)
- Philipp Winter
- Klinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland.
| | - Stephan Rother
- Klinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland
| | - Patrick Orth
- Klinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland
| | - Ekkehard Fritsch
- Klinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland
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4
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Oonk JGM, Dobbe JGG, Strijkers GJ, van Rijn SK, Streekstra GJ. Kinematic analysis of forearm rotation using four-dimensional computed tomography. J Hand Surg Eur Vol 2022; 48:466-475. [PMID: 36524290 DOI: 10.1177/17531934221142520] [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: 12/23/2022]
Abstract
This study aimed to quantify forearm kinematics with a focus on the forearm rotation axis. Ten healthy volunteers were included in the study. One three-dimensional computed tomographic scan and two four-dimensional computed tomographic scans were done in all the arms to capture forearm joint motion. After image processing, the rotation axis and the movement of the radius with respect to various axes were quantified. The rotation axis was calculated using finite helical axis analysis and a circle fitting approach. The mean error of the rotation axis found through circle fitting was 0.2 mm (SD 0.1) distally and 0.1 mm (SD 0.1) proximally, indicating an improvement in precision over the finite helical axis approach. The translations of the radius along the ulnar axis and the forearm rotation axis were 2.6 (SD 0.8) and 0.6 mm (SD 0.9), respectively. The rotation of the radius around the radial axis was 7.2°. The techniques presented provide a detailed description of forearm kinematics.
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Affiliation(s)
- Joris G M Oonk
- Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands.,Amsterdam Movement Sciences, Musculoskeletal Health - Restoration and Development, Amsterdam, The Netherlands
| | - Johannes G G Dobbe
- Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands.,Amsterdam Movement Sciences, Musculoskeletal Health - Restoration and Development, Amsterdam, The Netherlands
| | - Gustav J Strijkers
- Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | - Sybren K van Rijn
- Amsterdam UMC location University of Amsterdam, Plastic, Reconstructive and Hand surgery, Amsterdam, The Netherlands
| | - Geert J Streekstra
- Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
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Abstract
The wrist is a complex joint involving many small bones and complicated kinematics. It has, therefore, been traditionally difficult to image and ascertain information about kinematics when making a diagnosis. Although MRI and fluoroscopy have been used, they both have limitations. Recently, there has been interest in the use of 4D-CT in imaging the wrist. This review examines the literature regarding the use of 4D-CT in imaging the wrist to assess kinematics and its ability to diagnose pathology. Some questions remain about the description of normal ranges, the most appropriate method of measuring intercarpal stability, the accuracy compared with established standards, and the place of 4D-CT in postoperative assessment. Cite this article: Bone Joint J 2019;101-B:1325–1330.
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Affiliation(s)
- Jordy White
- University of Queensland, St Lucia, Australia
| | - Greg Couzens
- Brisbane Hand and Upper Limb Research Institute, Spring Hill, Australia
- Princess Alexandra Hospital, Brisbane, Australia
- Field Orthopaedics Research Group, Spring Hill, Australia
| | - Chris Jeffery
- Princess Alexandra Hospital, Brisbane, Australia
- Field Orthopaedics Research Group, Spring Hill, Queensland, Australia
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Gulati A, Wadhwa V, Ashikyan O, Cerezal L, Chhabra A. Current perspectives in conventional and advanced imaging of the distal radioulnar joint dysfunction: review for the musculoskeletal radiologist. Skeletal Radiol 2019; 48:331-348. [PMID: 30171275 DOI: 10.1007/s00256-018-3042-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 07/27/2018] [Accepted: 08/01/2018] [Indexed: 02/02/2023]
Abstract
Distal radioulnar joint (DRUJ) dysfunction is a common cause of ulnar sided wrist pain. Physical examination yields only subtle clues towards the underlying etiology. Thus, imaging is commonly obtained towards an improved characterization of DRUJ pathology, especially multimodality imaging, which is frequently resorted to arrive at an accurate diagnosis. With increasing use of advanced MRI and CT techniques, DRUJ imaging has become an important part of a musculoskeletal radiologist's practice. This article discusses the normal anatomy and biomechanics of the DRUJ, illustrates common clinical abnormalities, and provides a comprehensive overview of the imaging evaluation with an insight into the role of advanced cross-sectional modalities in this domain.
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Affiliation(s)
| | - Vibhor Wadhwa
- Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Luis Cerezal
- Radiology, Diagnóstico Médico Cantabria, Santander, Spain
| | - Avneesh Chhabra
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA. .,Orthopaedic Surgery, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-9178, USA. .,Johns Hopkins University, Baltimore, MD, USA.
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Tanaka MJ, Elias JJ, Williams AA, Demehri S, Cosgarea AJ. Characterization of patellar maltracking using dynamic kinematic CT imaging in patients with patellar instability. Knee Surg Sports Traumatol Arthrosc 2016; 24:3634-3641. [PMID: 27358051 DOI: 10.1007/s00167-016-4216-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 06/14/2016] [Indexed: 11/28/2022]
Abstract
PURPOSE Little has been reported on the relationship between patellar maltracking and instability. Patellar maltracking has been subjectively described with the "J sign" but is difficult to assess objectively using traditional imaging. Dynamic kinematic computed tomography (DKCT) allows dynamic assessment of the patellofemoral joint. DKCT was used to visualize and quantify patellar maltracking patterns, and severity of maltracking was correlated with the presence or absence of patellar instability symptoms. METHODS Seventy-six knees in 38 patients were analysed using DKCT. Maltracking was defined as deviation of the patella from the trajectory of the trochlear groove and was characterized by patellar bisect offset, which was measured at 10° intervals of knee flexion during active flexion and extension. Bisect offset measurements were grouped by number of quadrants of maximum lateral patellar motion, with one, two, and three quadrants corresponding to 75-99, 100-125, and >125 %, respectively. Patellar instability symptoms were correlated with maltracking severity. RESULTS Two knees were excluded because of poor imaging quality. Fifty of 74 knees had patellar instability, and 13 patients had bilateral symptoms. Of these, four (8 %) had normal tracking patterns; 41 (82 %) had increased lateral translation in extension, which we termed the J-sign pattern; 4 (8 %) had persistent lateralization of the patella throughout range of motion; and 1 had increased lateral translation in flexion. In knees with the J-sign pattern, degree of maltracking was graded by severity: J1 (n = 24), J2 (n = 19), and J3 (n = 15). The sensitivities of J-sign grades in predicting patellar instability symptoms were 50 % (J1), 80 % (J2), and 93 % (J3) (p < 0.01). There were significant differences in sensitivity between knees with no J sign or J1 versus J2 or J3 (p = 0.02). CONCLUSION DKCT showed several patellar maltracking patterns in patients with patellar instability. A J-sign pattern with more than two quadrants of lateral translation correlated with the presence of patellar instability symptoms. Incorporation of this approach of objectively quantifying maltracking patterns is recommended in the evaluation of patellofemoral instability. LEVEL OF EVIDENCE IV.
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Affiliation(s)
- Miho J Tanaka
- Department of Orthopaedic Surgery, The Johns Hopkins University, 601 N. Caroline St. JHOC 5, Baltimore, MD, 21287, USA.
| | - John J Elias
- Department of Research, Cleveland Clinic Akron General, Akron, OH, USA
| | - Ariel A Williams
- Department of Orthopaedic Surgery, The Johns Hopkins University, 601 N. Caroline St. JHOC 5, Baltimore, MD, 21287, USA
| | - Shadpour Demehri
- Department of Radiology, The Johns Hopkins University, Baltimore, MD, USA
| | - Andrew J Cosgarea
- Department of Orthopaedic Surgery, The Johns Hopkins University, 601 N. Caroline St. JHOC 5, Baltimore, MD, 21287, USA
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8
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Ramamurthy NK, Chojnowski AJ, Toms AP. Imaging in carpal instability. J Hand Surg Eur Vol 2016; 41:22-34. [PMID: 26586689 DOI: 10.1177/1753193415610515] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 09/01/2015] [Indexed: 02/03/2023]
Abstract
Carpal instability is a complex and heterogeneous clinical condition. Management requires accurate identification of structural injury with an understanding of the resultant movement (kinematic) and load transfer (kinetic) failure. Static imaging techniques, such as plain film radiography, stress views, ultrasound, magnetic resonance, MR arthrography and computerized tomography arthrography, may accurately depict major wrist ligamentous injury. Dynamic ultrasound and videofluoroscopy may demonstrate dynamic instability and kinematic dysfunction. There is a growing evidence base for the diagnostic accuracy of these techniques in detecting intrinsic ligament tears, but there are limitations. Evidence of their efficacy and relevance in detection of non-dissociative carpal instability and extrinsic ligament tears is weak. Further research into the accuracy of existing imaging modalities is still required. Novel techniques, including four-dimensional computerized tomography and magnetic resonance, can evaluate both cross-sectional and functional carpal anatomy. This is a narrative review of level-III studies evaluating the role of imaging in carpal instability.
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Affiliation(s)
- N K Ramamurthy
- Department of Radiology, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK
| | - A J Chojnowski
- Department of Orthopaedic Surgery, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK
| | - A P Toms
- Department of Radiology, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK
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Williams AA, Elias JJ, Tanaka MJ, Thawait GK, Demehri S, Carrino JA, Cosgarea AJ. The Relationship Between Tibial Tuberosity-Trochlear Groove Distance and Abnormal Patellar Tracking in Patients With Unilateral Patellar Instability. Arthroscopy 2016; 32:55-61. [PMID: 26440373 DOI: 10.1016/j.arthro.2015.06.037] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 06/15/2015] [Accepted: 06/19/2015] [Indexed: 02/02/2023]
Abstract
PURPOSE To evaluate the role of tibial tuberosity-trochlear groove (TT-TG) distance in patellofemoral kinematics by retrospectively reviewing the dynamic computed tomography scans of patients with unilateral patellofemoral instability and comparing unstable and contralateral asymptomatic knees. METHODS We reviewed all dynamic computed tomography scans obtained at one tertiary care hospital from 2008 through 2013 and identified 25 patients with a history of recurrent unilateral patellofemoral instability. During the scans, subjects performed active knee extension against gravity. Both knees were imaged simultaneously. Lateral patellar tilt (LPT) and bisect offset (BO) were measured to assess tracking. TT-TG distance was measured to assess alignment. Measurements were made in full extension, maximum flexion, and approximately 10° increments in between. The significance level was set at P < .05. RESULTS LPT, BO, and TT-TG distance were highest in extension and decreased with flexion. Measurements were higher in symptomatic than in asymptomatic knees, with significant differences identified for LPT, BO, and TT-TG distance at 5° and 15° and for TT-TG distance at 25° and 35° (P < .05). TT-TG distance was associated with LPT and BO, with r(2) values in symptomatic knees of 0.55 for TT-TG distance and LPT and of 0.45 for TT-TG distance and BO. CONCLUSIONS In patients with unilateral patellar instability, LPT, BO, and TT-TG distance are higher on the unstable side. An association exists between TT-TG distance and the tracking parameters studied, suggesting that TT-TG distance relates to patellar tracking, and a laterally positioned tibial tuberosity may predispose to instability episodes. LEVEL OF EVIDENCE Level IV, diagnostic study.
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Affiliation(s)
- Ariel A Williams
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - John J Elias
- Department of Orthopaedic Surgery, Akron General Medical Center, Akron, Ohio, U.S.A
| | - Miho J Tanaka
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A.; Regeneration Orthopedics, Chesterfield, Missouri, U.S.A
| | - Gaurav K Thawait
- Department of Radiology, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - Shadpour Demehri
- Department of Radiology, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - John A Carrino
- Department of Radiology, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - Andrew J Cosgarea
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A..
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Demehri S, Hafezi-Nejad N, Thakur U, Morelli J, Lifchez S, Means K, Shores J. Evaluation of pisotriquetral motion pattern using four-dimensional CT: initial clinical experience in asymptomatic wrists. Clin Radiol 2015; 70:1362-9. [DOI: 10.1016/j.crad.2015.07.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 07/09/2015] [Accepted: 07/22/2015] [Indexed: 10/23/2022]
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Tanaka MJ, Elias JJ, Williams AA, Carrino JA, Cosgarea AJ. Correlation Between Changes in Tibial Tuberosity-Trochlear Groove Distance and Patellar Position During Active Knee Extension on Dynamic Kinematic Computed Tomographic Imaging. Arthroscopy 2015; 31:1748-55. [PMID: 25940399 DOI: 10.1016/j.arthro.2015.03.015] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 02/16/2015] [Accepted: 03/12/2015] [Indexed: 02/02/2023]
Abstract
PURPOSE The purpose of this study was to evaluate changes in tibial tuberosity-trochlear groove (TTTG) distance with knee flexion in patients with patellar instability and correlate it with patellar position. METHODS Patients with symptomatic patellar instability underwent dynamic kinematic computed tomography (CT) during a cycle of knee extension from flexion. Knee flexion angles and corresponding TTTG distances, bisect offset, and patellar tilt were measured. Of the 51 knees, 37 had data available for interpolation between 5° and 30°. Results were interpolated to standardized intervals between 5° and 30° of knee flexion. Repeated-measures analysis (to identify differences between TTTG measurements at various knee flexion angles) and linear regression models (to assess for correlations between TTTG distance and bisect offset and between TTTG distance and patellar tilt) were used. RESULTS Fifty-one symptomatic knees in 38 patients were available for analysis. Bisect offset and patellar tilt correlated significantly (P < .001) with TTTG distance over all flexion angles. Interpolated results for comparison resulted in 37 knees in which the mean TTTG distance of 17.2 ± 5.8 mm at 5° decreased to 15.5 ± 5.7, 13.0 ± 5.5, and 11.5 ± 4.9 mm at 10°, 20°, and 30° of knee flexion, respectively. Mean TTTG at 5° was 1.5 times greater than that at 30° (P < .001). At 5°, 70.3% (26 of 37) of knees had a TTTG distance of more than 15 mm; at 30°, only 24.3% (9 of 37) exceeded this threshold. CONCLUSIONS Knee flexion angle during imaging is a critical factor when measuring TTTG distance to evaluate patellofemoral instability. We found that the mean TTTG distance varied by 5.7 mm between 5° and 30° of flexion in patients with symptomatic instability, although this relationship was not completely linear. Bisect offset and patellar tilt measurements mirrored this pattern, suggesting that TTTG distance influences patellar tracking in these patients. LEVEL OF EVIDENCE Level IV, prognostic case series.
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Affiliation(s)
- Miho J Tanaka
- Regeneration Orthopedics, St. Louis, Missouri, U.S.A
| | - John J Elias
- Department of Orthopaedic Surgery, Akron General Medical Center, Akron, Ohio, U.S.A
| | - Ariel A Williams
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - John A Carrino
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A
| | - Andrew J Cosgarea
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, Maryland, U.S.A..
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Demehri S, Thawait GK, Williams AA, Kompel A, Elias JJ, Carrino JA, Cosgarea AJ. Imaging Characteristics of Contralateral Asymptomatic Patellofemoral Joints in Patients with Unilateral Instability. Radiology 2014; 273:821-30. [DOI: 10.1148/radiol.14140295] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Variations in kinematics and function following patellar stabilization including tibial tuberosity realignment. Knee Surg Sports Traumatol Arthrosc 2014; 22:2350-6. [PMID: 24531362 DOI: 10.1007/s00167-014-2905-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Accepted: 02/05/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE The current study was performed to characterize the influence of patellar stabilization procedures on patellofemoral and tibiofemoral dynamic motion. METHODS Six knees were evaluated pre-operatively and 1 year or longer following stabilization via tibial tuberosity realignment, with simultaneous medial patellofemoral ligament reconstruction performed for five knees. Knees were imaged during extension against gravity using a dynamic CT scanner. Models representing each knee at several positions of extension were reconstructed from the images. Local coordinate systems were created within one femur, patella and tibia for each knee, with shape matching of the bones used to transfer the coordinate axes to the other models. The patellar lateral shift and tilt and tibial external rotation were quantified based on the reference axes and interpolated to flexion angles from 5° to 40°. Pre-operative and post-operative data were compared with the paired t tests. RESULTS Surgical realignment significantly decreased the average patellar lateral shift and tilt at low flexion angles. At 5°, surgical realignment decreased the average lateral shift from 15.5 (6.3) to 8.5 (4.7) mm and decreased the average lateral tilt from 20.8 (9.4)° to 13.8 (6.4)°. The changes were statistically significant (p<0.05) at 5° and 10° of flexion, as well as 20° for lateral shift. The average tibial external rotation also increased significantly at 30° and 40° following surgery. CONCLUSION Patellar stabilization including a component of tuberosity realignment reduces patellar lateral shift and tilt at low flexion angles, but the long-term influence of increased tibial external rotation on tibiofemoral function is currently unknown. LEVEL OF EVIDENCE Prospective comparative study, Level II.
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Affiliation(s)
| | - Rajiv Gupta
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114;
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15
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Detection and Characterization of Tendon Abnormalities With Multidetector Computed Tomography. J Comput Assist Tomogr 2014; 38:299-307. [DOI: 10.1097/rct.0b013e3182aa72bf] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Dynamic Evaluation of Pisotriquetral Instability Using 4-dimensional Computed Tomography. J Comput Assist Tomogr 2014; 38:507-12. [DOI: 10.1097/rct.0000000000000074] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Boutin RD, Buonocore MH, Immerman I, Ashwell Z, Sonico GJ, Szabo RM, Chaudhari AJ. Real-time magnetic resonance imaging (MRI) during active wrist motion--initial observations. PLoS One 2013; 8:e84004. [PMID: 24391865 PMCID: PMC3877133 DOI: 10.1371/journal.pone.0084004] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Accepted: 11/11/2013] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Non-invasive imaging techniques such as magnetic resonance imaging (MRI) provide the ability to evaluate the complex anatomy of bone and soft tissues of the wrist without the use of ionizing radiation. Dynamic instability of wrist--occurring during joint motion--is a complex condition that has assumed increased importance in musculoskeletal medicine. The objective of this study was to develop an MRI protocol for evaluating the wrist during continuous active motion, to show that dynamic imaging of the wrist is realizable, and to demonstrate that the resulting anatomical images enable the measurement of metrics commonly evaluated for dynamic wrist instability. METHODS A 3-Tesla "active-MRI" protocol was developed using a bSSFP sequence with 475 ms temporal resolution for continuous imaging of the moving wrist. Fifteen wrists of 10 asymptomatic volunteers were scanned during active supination/pronation, radial/ulnar deviation, "clenched-fist", and volarflexion/dorsiflexion maneuvers. Two physicians evaluated distal radioulnar joint (DRUJ) congruity, extensor carpi ulnaris (ECU) tendon translation, the scapholunate (SL) interval, and the SL, radiolunate (RL) and capitolunate (CL) angles from the resulting images. RESULTS The mean DRUJ subluxation ratio was 0.04 in supination, 0.10 in neutral, and 0.14 in pronation. The ECU tendon was subluxated or translated out of its groove in 3 wrists in pronation, 9 wrists in neutral, and 11 wrists in supination. The mean SL interval was 1.43 mm for neutral, ulnar deviation, radial deviation positions, and increased to 1.64 mm during the clenched-fist maneuver. Measurement of SL, RL and CL angles in neutral and dorsiflexion was also accomplished. CONCLUSION This study demonstrates the initial performance of active-MRI, which may be useful in the investigation of dynamic wrist instability in vivo.
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Affiliation(s)
- Robert D. Boutin
- Department of Radiology, University of California Davis School of Medicine, Sacramento, California, United States of America
| | - Michael H. Buonocore
- Department of Radiology, University of California Davis School of Medicine, Sacramento, California, United States of America
- University of California Davis Imaging Research Center, Sacramento, California, United States of America
| | - Igor Immerman
- Department of Orthopedic Surgery, University of California Davis School of Medicine, Sacramento, California, United States of America
| | - Zachary Ashwell
- Department of Radiology, University of California Davis School of Medicine, Sacramento, California, United States of America
| | - Gerald J. Sonico
- Department of Orthopedic Surgery, University of California Davis School of Medicine, Sacramento, California, United States of America
| | - Robert M. Szabo
- Department of Orthopedic Surgery, University of California Davis School of Medicine, Sacramento, California, United States of America
| | - Abhijit J. Chaudhari
- Department of Radiology, University of California Davis School of Medicine, Sacramento, California, United States of America
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Leng S, Zhao K, Qu M, An KN, Berger R, McCollough CH. Dynamic CT technique for assessment of wrist joint instabilities. Med Phys 2013; 38 Suppl 1:S50. [PMID: 21978117 DOI: 10.1118/1.3577759] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To develop a 4D [three-dimensional (3D) + time] CT technique to capture high spatial and temporal resolution images of wrist joint motion so that dynamic joint instabilities can be detected before the development of static joint instability and onset of osteoarthritis (OA). METHODS A cadaveric wrist was mounted onto a custom motion simulator and scanned with a dual source CT scanner during radial-ulnar deviation. A dynamic 4D CT technique was utilized to reconstruct images at 20 equidistant time points from one motion cycle. 3D images of carpal bones were generated using volume rendering techniques (VRT) at each of the 20 time points and then 4D movies were generated to depict the dynamic joint motion. The same cadaveric wrist was also scanned after cutting all portions of the scapholunate interosseus ligament to simulate scapholunate joint instability. Image quality were assessed on an ordinal scale (1-4, 4 being excellent) by three experienced orthopedic surgeons (specialized in hand surgery) by scoring 2D axial images. Dynamic instability was evaluated by the same surgeons by comparing the two 4D movies of joint motion. Finally, dose reduction was investigated using the cadaveric wrist by scanning at different dose levels to determine the lowest radiation dose that did not substantially alter diagnostic image quality. RESULTS The mean image quality scores for dynamic and static CT images were 3.7 and 4.0, respectively. The carpal bones, distal radius and ulna, and joint spaces were clearly delineated in the 3D VRT images, without motion blurring or banding artifacts, at all time points during the motion cycle. Appropriate viewing angles could be interactively selected to view any articulating structure using different 3D processing techniques. The motion of each carpal bone and the relative motion among the carpal bones were easily observed in the 4D movies. Joint instability was correctly and easily detected in the scan performed after the ligament was cut by observing the relative motion between the scaphoid and lunate bones. Diagnostic capability was not sacrificed with a volume CT dose index (CTDI(vol)) as low as 18 mGy for the whole scan, with estimated skin dose of approximately 33 mGy, which is much lower than the threshold for transient skin erythema (2000 mGy). CONCLUSIONS The proposed dynamic 4D CT imaging technique generated high spatial and high temporal resolution images without requiring periodic joint motion. Preliminary results from this cadaveric study demonstrate the feasibility of detecting joint instability using this technique.
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Affiliation(s)
- Shuai Leng
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.
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Choi YS, Lee YH, Kim S, Cho HW, Song HT, Suh JS. Four-dimensional real-time cine images of wrist joint kinematics using dual source CT with minimal time increment scanning. Yonsei Med J 2013; 54:1026-32. [PMID: 23709441 PMCID: PMC3663247 DOI: 10.3349/ymj.2013.54.4.1026] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
PURPOSE To validate the feasibility of real time kinematography with four-dimensional (4D) dynamic functional wrist joint imaging using dual source CT. MATERIALS AND METHODS Two healthy volunteers performed radioulnar deviation and pronation- supination wrist motions for 10 s and 4 s per cycle in a dual source CT scanner. Scan and reconstruction protocols were set to optimize temporal resolution. Cine images of the reconstructed carpal bone of the moving wrist were recorded. The quality of the images and radiation dosage were evaluated. RESULTS The 4D cine images obtained during 4 s and 10 s of radioulnar motion showed a smooth stream of movement with good quality and little noise or artifact. Images from the pronation-supination motion showed noise with a masked surface contour. The temporal resolution was optimized at 0.28 s. CONCLUSION Using dual source CT, 4D cine images of in vivo kinematics of wrist joint movement were obtained and found to have a shorter scan time, improved temporal resolution and lower radiation dosages compared with those previously reported.
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Affiliation(s)
- Yoon Seong Choi
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Young Han Lee
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Sungjun Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Hee Woo Cho
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Ho-Taek Song
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Jin-Suck Suh
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
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Cerny M, Marlois R, Theumann N, Bollmann C, Wehrli L, Richarme D, Meuli R, Becce F. 3-T direct MR arthrography of the wrist: value of finger trap distraction to assess intrinsic ligament and triangular fibrocartilage complex tears. Eur J Radiol 2013; 82:e582-9. [PMID: 23743056 DOI: 10.1016/j.ejrad.2013.04.039] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Revised: 04/28/2013] [Accepted: 04/30/2013] [Indexed: 12/01/2022]
Abstract
PURPOSE To determine the value of applying finger trap distraction during direct MR arthrography of the wrist to assess intrinsic ligament and triangular fibrocartilage complex (TFCC) tears. MATERIALS AND METHODS Twenty consecutive patients were prospectively investigated by three-compartment wrist MR arthrography. Imaging was performed with 3-T scanners using a three-dimensional isotropic (0.4 mm) T1-weighted gradient-recalled echo sequence, with and without finger trap distraction (4 kg). In a blind and independent fashion, two musculoskeletal radiologists measured the width of the scapholunate (SL), lunotriquetral (LT) and ulna-TFC (UTFC) joint spaces. They evaluated the amount of contrast medium within these spaces using a four-point scale, and assessed SL, LT and TFCC tears, as well as the disruption of Gilula's carpal arcs. RESULTS With finger trap distraction, both readers found a significant increase in width of the SL space (mean Δ = +0.1mm, p ≤ 0.040), and noticed more contrast medium therein (p ≤ 0.035). In contrast, the differences in width of the LT (mean Δ = +0.1 mm, p ≥ 0.057) and UTFC (mean Δ = 0mm, p ≥ 0.728) spaces, as well as the amount of contrast material within these spaces were not statistically significant (p = 0.607 and ≥ 0.157, respectively). Both readers detected more SL (Δ = +1, p = 0.157) and LT (Δ = +2, p = 0.223) tears, although statistical significance was not reached, and Gilula's carpal arcs were more frequently disrupted during finger trap distraction (Δ = +5, p = 0.025). CONCLUSION The application of finger trap distraction during direct wrist MR arthrography may enhance both detection and characterisation of SL and LT ligament tears by widening the SL space and increasing the amount of contrast within the SL and LT joint spaces.
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Affiliation(s)
- Milena Cerny
- Department of Diagnostic and Interventional Radiology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
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CT Dynamics: The Shift from Morphology to Function. CURRENT RADIOLOGY REPORTS 2013. [DOI: 10.1007/s40134-012-0004-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Halpenny D, Courtney K, Torreggiani W. Dynamic four-dimensional 320 section CT and carpal bone injury — A description of a novel technique to diagnose scapholunate instability. Clin Radiol 2012; 67:185-7. [DOI: 10.1016/j.crad.2011.10.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2011] [Revised: 09/16/2011] [Accepted: 10/03/2011] [Indexed: 10/14/2022]
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Behnam AJ, Herzka DA, Sheehan FT. Assessing the accuracy and precision of musculoskeletal motion tracking using cine-PC MRI on a 3.0T platform. J Biomech 2010; 44:193-7. [PMID: 20863502 DOI: 10.1016/j.jbiomech.2010.08.029] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2010] [Revised: 08/12/2010] [Accepted: 08/24/2010] [Indexed: 10/19/2022]
Abstract
The rising cost of musculoskeletal pathology, disease, and injury creates a pressing need for accurate and reliable methods to quantify 3D musculoskeletal motion, fostering a renewed interest in this area over the past few years. To date, cine-phase contrast (PC) MRI remains the only technique capable of non-invasively tracking in vivo 3D musculoskeletal motion during volitional activity, but current scan times are long on the 1.5T MR platform (∼ 2.5 min or 75 movement cycles). With the clinical availability of higher field strength magnets (3.0T) that have increased signal-to-noise ratios, it is likely that scan times can be reduced while improving accuracy. Therefore, the purpose of this study is to validate cine-PC MRI on a 3.0T platform, in terms of accuracy, precision, and subject-repeatability, and to determine if scan time could be minimized. On the 3.0T platform it is possible to limit scan time to 2 min, with sub-millimeter accuracy (<0.33 mm/0.97°), excellent technique precision (<0.18°), and strong subject-repeatability (<0.73 mm/1.10°). This represents reduction in imaging time by 25% (42 s), a 50% improvement in accuracy, and a 72% improvement in technique precision over the original 1.5T platform. Scan time can be reduced to 1 min (30 movement cycles), but the improvements in accuracy are not as large.
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Affiliation(s)
- Abrahm J Behnam
- Rehabilitation Medicine Department, National Institutes of Health, Building 10 CRC RM 1-1469, 10 Center Drive MSC 1604, Bethesda, MD 20892-1604, USA
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Hellinger JC, Medina LS, Epelman M. Pediatric Advanced Imaging and Informatics: State of the Art. Semin Ultrasound CT MR 2010; 31:171-93. [DOI: 10.1053/j.sult.2010.01.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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