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Sakai T, Yoneyama M, Zhang S, Kitsukawa K, Yokota H, Ichikawa R, Aoki Y, Watanabe A, Sato Y, Yanagawa N, Murayama D, Ito H, Ochi S, Miyati T. Clinical evaluation of 3D high-resolution isotropic knee MRI using Multi-Interleaved X-prepared TSE with inTUitive RElaxometry (MIXTURE) for simultaneous morphology and T2 mapping. Eur J Radiol 2024; 177:111579. [PMID: 38897053 DOI: 10.1016/j.ejrad.2024.111579] [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: 01/30/2024] [Revised: 05/25/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE Quantitative MRI techniques such as T2 mapping are useful in comprehensive evaluation of various pathologies of the knee joint yet require separate scans to conventional morphological measurements and long acquisition times. The recently introduced 3D MIXTURE (Multi-Interleaved X-prepared Turbo-Spin Echo with Intuitive Relaxometry) technique can obtain simultaneous morphologic and quantitative information of the knee joint. To compare MIXTURE with conventional methods and to identify differences in morphological and quantitative information. METHODS Phantom studies were conducted, and in vivo human scans were performed (20 patients) presented with knee arthralgia. MIXTURE is based on 3D TSE without and with T2 preparation modules in an interleaved manner for both morphology with PDW and fat suppressed T2W imaging as well as quantitative T2 mapping within one single scan. Image quality and lesion depiction were visually assessed and compared between MIXTURE and conventional 2D TSE by two experienced radiologists. Contrast-to-noise ratio was used to assess the adjacent tissue contrast in a quantitative way for both obtained PDW and fat suppressed T2W images. Quantitative T2 values were measured in phantom and from in vivo knee cartilage. RESULTS The overall diagnostic confidence and contrast-to-noise ratio were deemed comparable between MIXTURE and 2D TSE. While the chosen T2 preparation modules for MIXTURE rendered consistent T2 values comparing to the current standard, measured cartilage T2 values ranged from 26.1 to 50.7 ms, with significant difference between the lesion and normal areas (p < 0.05). CONCLUSIONS MIXTURE can help to provide high-resolution information for both anatomical and pathological assessment.
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Affiliation(s)
- Takayuki Sakai
- Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan; Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan; Faculty of Health Sciences, Tsukuba International University, Ibaraki, Japan.
| | | | | | - Kaoru Kitsukawa
- Department of Radiology, Chiba University Hospital Comprehensive Radiology Center, Chiba, Japan
| | - Hajime Yokota
- Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Rina Ichikawa
- Department of Radiology, Chiba University Hospital Comprehensive Radiology Center, Chiba, Japan
| | - Yasuchika Aoki
- Department of General Medical Science, Graduate School of Medicine, Chiba University, Chiba, Japan; Department of Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan
| | - Atsuya Watanabe
- Department of General Medical Science, Graduate School of Medicine, Chiba University, Chiba, Japan; Department of Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan
| | - Yusuke Sato
- Department of General Medical Science, Graduate School of Medicine, Chiba University, Chiba, Japan; Department of Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan
| | - Noriyuki Yanagawa
- Faculty of Health Sciences, Tsukuba International University, Ibaraki, Japan
| | - Daichi Murayama
- Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan
| | - Hajime Ito
- Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan
| | - Shigehiro Ochi
- Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan
| | - Tosiaki Miyati
- Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan
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Sam A, S J, Pandian V, Ramakrishnan KK, Natarajan P, Muralidharan Y. Evaluating the Efficacy of Volume Isotropic Turbo Spin Echo Acquisition Versus T2-Weighted Turbo Spin Echo Imaging in the Diagnosis of Nerve Root and Perineuronal Pathologies in Spinal Disorders. Cureus 2024; 16:e60988. [PMID: 38915957 PMCID: PMC11195522 DOI: 10.7759/cureus.60988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 05/24/2024] [Indexed: 06/26/2024] Open
Abstract
Background While two-dimensional (2D) turbo spin echo (TSE) sequences offer better through-plane resolution than three-dimensional (3D) isotropic TSE sequences images, with a narrower thickness of the slice, 3D isotropic TSE sequences are known to have a weaker in-plane resolution as well as blurring of the image. These elements may make it more difficult to distinguish between nearby structures that may affect nerve roots and small nerve roots during spinal imaging. This study aimed to analyze the accuracy of T2 TSE sequence and volumetric isotropic TSE acquisition in determining the indentation of nerve roots and perineural diseases such as nerve sheath tumors and Tarlov cysts. Methods Fifty patients who attended the Department of Radiodiagnosis for magnetic resonance (MR) spine participated in this prospective study. Routine MR lumbosacral (LS) spine sequences, such as survey, coronal T2 short-tau inversion recovery (STIR), sagittal T2 TSE, sagittal T1 TSE, and axial T2 TSE, were carried out after a localizer was acquired. More sequences from volume isotropic turbo spin echo acquisition (VISTA) were acquired. For both 2D and 3D sequences, the visibility ratings for perineural cysts, spinal canal stenosis, and nerve root indentation were evaluated. Visibility ratings ranged from zero to four. Results In the cases of perineural cyst, spinal canal stenosis, and nerve root impingement, the mean difference between the VISTA and T2 TSE visibility scores was 0.04, 0.54, and 0.56, respectively. The VISTA and T2 TS had standard deviation differences of 0.006, 0.026, and 0.06, respectively. The "t" values for nerve root impingement, spinal canal stenosis, and perineural cysts were, in order, 50, 180, and 70. Because the p-value was <0.01, a statistically significant variation has been observed. Conclusion In the diagnosis of neural and perineuronal disorders, the visibility scores for 3D T2 TSE (VISTA) were considerably better than those for 2D T2 TSE in identifying perineural cysts, spinal canal stenosis, and nerve root indentation.
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Affiliation(s)
- Ajina Sam
- Department of Radiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IND
| | - Jaypradha S
- Department of Radiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IND
| | - Vinoth Pandian
- Department of Radiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IND
| | - Karthik Krishna Ramakrishnan
- Department of Radiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IND
| | - Paarthipan Natarajan
- Department of Radiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IND
| | - Yuvaraj Muralidharan
- Department of Radiodiagnosis, Saveetha Medical College and Hospital, Chennai, IND
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Legler J, Laverdiere C, Boily M, Tarchala M, Hart A, Martineau PA. Evaluating femoral graft placement using three-dimensional magnetic resonance imaging in the reconstruction of the anterior cruciate ligament via independent or transtibial drilling techniques: a retrospective cohort study. EUROPEAN JOURNAL OF ORTHOPAEDIC SURGERY & TRAUMATOLOGY : ORTHOPEDIE TRAUMATOLOGIE 2024; 34:1297-1306. [PMID: 38078954 DOI: 10.1007/s00590-023-03788-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 11/15/2023] [Indexed: 04/02/2024]
Abstract
PURPOSE Anterior cruciate ligament (ACL) reconstruction is a common surgical procedure, yet failure still largely occurs due to nonanatomically positioned grafts. The purpose of this study was to retrospectively evaluate patients with torn ACLs before and after reconstruction via 3D MRI and thereby assess the accuracy of graft position on the femoral condyle. METHODS Forty-one patients with unilateral ACL tears were recruited. Each patient underwent 3D MRI of both knees before and after surgery. The location of the reconstructed femoral footprint relative to the patient's native footprint was compared. RESULTS Native ACL anatomical location of the native ACL had a significant impact on graft position. Native ACLs that were previously more anterior yielded grafts that were more posterior (3.70 ± 1.22 mm, P = 0.00018), and native ACL that were previously more proximal yielded grafts that were more distal (3.25 ± 1.09 mm, P = 0.0042). Surgeons using an independent drilling method positioned 76.2% posteriorly relative to the native location, with a mean 0.1 ± 2.8 mm proximal (P = 0.8362) and 1.8 ± 3.0 mm posterior (P = 0.0165). Surgeons using a transtibial method positioned 75% proximal relative to the native location, with a mean 2.2 ± 3.0 mm proximal (P = 0.0042) and 0.2 ± 2.6 mm posterior (P = 0.8007). These two techniques showed a significant difference in magnitude in the distal-proximal axis (P = 0.0332). CONCLUSION The femoral footprint position differed between the native and reconstructed ACLs, suggesting that ACL reconstructions are not accurate. Rather, they are converging to a normative reference point that is neither anatomical nor isometric.
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Affiliation(s)
- Jack Legler
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
| | - Carl Laverdiere
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Mathieu Boily
- Department of Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| | | | - Adam Hart
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Paul A Martineau
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
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Chen X, You M, Liao K, Zhang M, Wang L, Zhou K, Chen G, Li J. Quantitative Magnetic Resonance Imaging Had Greater Sensitivity in Diagnosing Chondral Lesions of the Knee: A Systematic Review and Meta-Analysis. Arthroscopy 2024:S0749-8063(24)00091-4. [PMID: 38336108 DOI: 10.1016/j.arthro.2024.01.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/21/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
PURPOSE To investigate the accuracy and reliability of magnetic resonance imaging (MRI) in identifying and grading chondral lesions and explore the optimal imaging technique to image cartilage. METHOD A comprehensive search was conducted on Medline, Embase, and Cochrane Library. Eligible cohort studies published before August 2022 were included. The study reports used MRI to diagnose and grade cartilage lesions, with intraoperative findings as the reference standard. Summary estimates of diagnostic performance were obtained. The reliability of MRI interpretation was summarized. Subgroup analyses were performed based on assessed imaging techniques, field strength, and joint surface. RESULTS Forty-three trials and 3,706 patients were included in the systematic review. The overall area under curve for hierarchical summarized receiver operating characteristics was 0.91 (95% confidence interval [CI] 0.88-0.93). The pooled sensitivity for quantitative MRI, 3-dimensional MRI, and 2-dimensional MRI was 0.82 (95% CI 0.64-0.92), 0.79 (95% CI 0.74-0.83), and 0.63 (95% CI 0.51-0.73), respectively. The pooled sensitivity of 3 Tesla (3T), 1.5 Tesla (1.5T), and <1.5 Tesla MRI was 0.79 (95% CI 0.72-0.85), 0.67 (95% CI 0.60-0.74), and 0.55 (95% CI 0.39-0.71), respectively. There were differences in interobserver consistency across different studies. CONCLUSIONS In general, MRI had high specificity in discriminating normal cartilage, but its sensitivity for identifying chondral lesions is less optimal. Further analysis showed that quantitative MRI, 3D MRI, and 3T MRI demonstrate greater sensitivity compared with 2D MRI, 1.5T MRI, and <1.5 Tesla MRI. LEVEL OF EVIDENCE Level III, systematic review of Level II-III studies.
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Affiliation(s)
- Xi Chen
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingke You
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kai Liao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | | | - Lingcheng Wang
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kai Zhou
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Gang Chen
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jian Li
- Sports Medicine Center, West China Hospital, West Chian School of Medicine, Sichuan University, Chengdu, Sichuan, China; Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Yoon MA, Gold GE, Chaudhari AS. Accelerated Musculoskeletal Magnetic Resonance Imaging. J Magn Reson Imaging 2023. [PMID: 38156716 DOI: 10.1002/jmri.29205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024] Open
Abstract
With a substantial growth in the use of musculoskeletal MRI, there has been a growing need to improve MRI workflow, and faster imaging has been suggested as one of the solutions for a more efficient examination process. Consequently, there have been considerable advances in accelerated MRI scanning methods. This article aims to review the basic principles and applications of accelerated musculoskeletal MRI techniques including widely used conventional acceleration methods, more advanced deep learning-based techniques, and new approaches to reduce scan time. Specifically, conventional accelerated MRI techniques, including parallel imaging, compressed sensing, and simultaneous multislice imaging, and deep learning-based accelerated MRI techniques, including undersampled MR image reconstruction, super-resolution imaging, artifact correction, and generation of unacquired contrast images, are discussed. Finally, new approaches to reduce scan time, including synthetic MRI, novel sequences, and new coil setups and designs, are also reviewed. We believe that a deep understanding of these fast MRI techniques and proper use of combined acceleration methods will synergistically improve scan time and MRI workflow in daily practice. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Min A Yoon
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
| | - Garry E Gold
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
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Kasuya S, Inaoka T, Wada A, Nakatsuka T, Nakagawa K, Terada H. Feasibility of the fat-suppression image-subtraction method using deep learning for abnormality detection on knee MRI. Pol J Radiol 2023; 88:e562-e573. [PMID: 38362017 PMCID: PMC10867951 DOI: 10.5114/pjr.2023.133660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/04/2023] [Indexed: 02/17/2024] Open
Abstract
Purpose To evaluate the feasibility of using a deep learning (DL) model to generate fat-suppression images and detect abnormalities on knee magnetic resonance imaging (MRI) through the fat-suppression image-subtraction method. Material and methods A total of 45 knee MRI studies in patients with knee disorders and 12 knee MRI studies in healthy volunteers were enrolled. The DL model was developed using 2-dimensional convolutional neural networks for generating fat-suppression images and subtracting generated fat-suppression images without any abnormal findings from those with normal/abnormal findings and detecting/classifying abnormalities on knee MRI. The image qualities of the generated fat-suppression images and subtraction-images were assessed. The accuracy, average precision, average recall, F-measure, sensitivity, and area under the receiver operator characteristic curve (AUROC) of DL for each abnormality were calculated. Results A total of 2472 image datasets, each consisting of one slice of original T1WI, original intermediate-weighted images, generated fat-suppression (FS)-intermediate-weighted images without any abnormal findings, generated FS-intermediate-weighted images with normal/abnormal findings, and subtraction images between the generated FS-intermediate-weighted images at the same cross-section, were created. The generated fat-suppression images were of adequate image quality. Of the 2472 subtraction-images, 2203 (89.1%) were judged to be of adequate image quality. The accuracies for overall abnormalities, anterior cruciate ligament, bone marrow, cartilage, meniscus, and others were 89.5-95.1%. The average precision, average recall, and F-measure were 73.4-90.6%, 77.5-89.4%, and 78.4-89.4%, respectively. The sensitivity was 57.4-90.5%. The AUROCs were 0.910-0.979. Conclusions The DL model was able to generate fat-suppression images of sufficient quality to detect abnormalities on knee MRI through the fat-suppression image-subtraction method.
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Affiliation(s)
- Shusuke Kasuya
- Department of Radiology, Toho University Sakura Medical Center, Sakura, Japan
| | - Tsutomu Inaoka
- Department of Radiology, Toho University Sakura Medical Center, Sakura, Japan
| | - Akihiko Wada
- Department of Radiology, Juntendo University, Tokyo, Japan
| | - Tomoya Nakatsuka
- Department of Radiology, Toho University Sakura Medical Center, Sakura, Japan
| | - Koichi Nakagawa
- Department of Orthopaedic Surgery, Toho University Sakura Medical Center, Sakura, Japan
| | - Hitoshi Terada
- Department of Radiology, Toho University Sakura Medical Center, Sakura, Japan
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Walter SS, Fritz B, Kijowski R, Fritz J. 2D versus 3D MRI of osteoarthritis in clinical practice and research. Skeletal Radiol 2023; 52:2211-2224. [PMID: 36907953 DOI: 10.1007/s00256-023-04309-4] [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: 12/20/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 03/14/2023]
Abstract
Accurately detecting and characterizing articular cartilage defects is critical in assessing patients with osteoarthritis. While radiography is the first-line imaging modality, magnetic resonance imaging (MRI) is the most accurate for the noninvasive assessment of articular cartilage. Multiple semiquantitative grading systems for cartilage lesions in MRI were developed. The Outerbridge and modified Noyes grading systems are commonly used in clinical practice and for research. Other useful grading systems were developed for research, many of which are joint-specific. Both two-dimensional (2D) and three-dimensional (3D) pulse sequences are used to assess cartilage morphology and biochemical composition. MRI techniques for morphological assessment of articular cartilage can be categorized into 2D and 3D FSE/TSE spin-echo and gradient-recalled echo sequences. T2 mapping is most commonly used to qualitatively assess articular cartilage microstructural composition and integrity, extracellular matrix components, and water content. Quantitative techniques may be able to label articular cartilage alterations before morphological defects are visible. Accurate detection and characterization of shallow low-grade partial and small articular cartilage defects are the most challenging for any technique, but where high spatial resolution 3D MRI techniques perform best. This review article provides a practical overview of commonly used 2D and 3D MRI techniques for articular cartilage assessments in osteoarthritis.
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Affiliation(s)
- Sven S Walter
- Department of Radiology, Division of Musculoskeletal Radiology, NYU Grossman School of Medicine, 660 1St Ave, 3rd Floor, Rm 313, New York, NY, 10016, USA
- Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, 72076, Tübingen, Germany
| | - Benjamin Fritz
- Department of Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Richard Kijowski
- New York University Grossman School of Medicine, New York University, New York, NY, 10016, USA
| | - Jan Fritz
- Department of Radiology, Division of Musculoskeletal Radiology, NYU Grossman School of Medicine, 660 1St Ave, 3rd Floor, Rm 313, New York, NY, 10016, USA.
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Omoumi P, Mourad C, Ledoux JB, Hilbert T. Morphological assessment of cartilage and osteoarthritis in clinical practice and research: Intermediate-weighted fat-suppressed sequences and beyond. Skeletal Radiol 2023; 52:2185-2198. [PMID: 37154871 PMCID: PMC10509097 DOI: 10.1007/s00256-023-04343-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/28/2023] [Accepted: 04/10/2023] [Indexed: 05/10/2023]
Abstract
Magnetic resonance imaging (MRI) is widely regarded as the primary modality for the morphological assessment of cartilage and all other joint tissues involved in osteoarthritis. 2D fast spin echo fat-suppressed intermediate-weighted (FSE FS IW) sequences with a TE between 30 and 40ms have stood the test of time and are considered the cornerstone of MRI protocols for clinical practice and trials. These sequences offer a good balance between sensitivity and specificity and provide appropriate contrast and signal within the cartilage as well as between cartilage, articular fluid, and subchondral bone. Additionally, FS IW sequences enable the evaluation of menisci, ligaments, synovitis/effusion, and bone marrow edema-like signal changes. This review article provides a rationale for the use of FSE FS IW sequences in the morphological assessment of cartilage and osteoarthritis, along with a brief overview of other clinically available sequences for this indication. Additionally, the article highlights ongoing research efforts aimed at improving FSE FS IW sequences through 3D acquisitions with enhanced resolution, shortened examination times, and exploring the potential benefits of different magnetic field strengths. While most of the literature on cartilage imaging focuses on the knee, the concepts presented here are applicable to all joints. KEY POINTS: 1. MRI is currently considered the modality of reference for a "whole-joint" morphological assessment of osteoarthritis. 2. Fat-suppressed intermediate-weighted sequences remain the keystone of MRI protocols for the assessment of cartilage morphology, as well as other structures involved in osteoarthritis. 3. Trends for further development in the field of cartilage and joint imaging include 3D FSE imaging, faster acquisition including AI-based acceleration, and synthetic imaging providing multi-contrast sequences.
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Affiliation(s)
- Patrick Omoumi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Charbel Mourad
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Diagnostic and Interventional Radiology, Hôpital Libanais Geitaoui CHU, Achrafieh, Beyrouth, Lebanon
| | - Jean-Baptiste Ledoux
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Tom Hilbert
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
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Lin J, Miao QI, Surawech C, Raman SS, Zhao K, Wu HH, Sung K. High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2023; 11:95022-95036. [PMID: 37711392 PMCID: PMC10501177 DOI: 10.1109/access.2023.3307577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
High-resolution magnetic resonance imaging (MRI) sequences, such as 3D turbo or fast spin-echo (TSE/FSE) imaging, are clinically desirable but suffer from long scanning time-related blurring when reformatted into preferred orientations. Instead, multi-slice two-dimensional (2D) TSE imaging is commonly used because of its high in-plane resolution but is limited clinically by poor through-plane resolution due to elongated voxels and the inability to generate multi-planar reformations due to staircase artifacts. Therefore, multiple 2D TSE scans are acquired in various orthogonal imaging planes, increasing the overall MRI scan time. In this study, we propose a novel slice-profile transformation super-resolution (SPTSR) framework with deep generative learning for through-plane super-resolution (SR) of multi-slice 2D TSE imaging. The deep generative networks were trained by synthesized low-resolution training input via slice-profile downsampling (SP-DS), and the trained networks inferred on the slice profile convolved (SP-conv) testing input for 5.5x through-plane SR. The network output was further slice-profile deconvolved (SP-deconv) to achieve an isotropic super-resolution. Compared to SMORE SR method and the networks trained by conventional downsampling, our SPTSR framework demonstrated the best overall image quality from 50 testing cases, evaluated by two abdominal radiologists. The quantitative analysis cross-validated the expert reader study results. 3D simulation experiments confirmed the quantitative improvement of the proposed SPTSR and the effectiveness of the SP-deconv step, compared to 3D ground-truths. Ablation studies were conducted on the individual contributions of SP-DS and SP-conv, networks structure, training dataset size, and different slice profiles.
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Affiliation(s)
- Jiahao Lin
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Electrical and Computer Engineering, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Q I Miao
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Chuthaporn Surawech
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Division of Diagnostic Radiology, Department of Radiology, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand
| | - Steven S Raman
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Kai Zhao
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Holden H Wu
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Kyunghyun Sung
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
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Schmidt AM, Desai AD, Watkins LE, Crowder HA, Black MS, Mazzoli V, Rubin EB, Lu Q, MacKay JW, Boutin RD, Kogan F, Gold GE, Hargreaves BA, Chaudhari AS. Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry. J Magn Reson Imaging 2023; 57:1029-1039. [PMID: 35852498 PMCID: PMC9849481 DOI: 10.1002/jmri.28365] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Deep learning (DL)-based automatic segmentation models can expedite manual segmentation yet require resource-intensive fine-tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine-tuning is not well characterized. PURPOSE Evaluate the generalizability of DL-based models by deploying pretrained models on independent datasets varying by MR scanner, acquisition parameters, and subject population. STUDY TYPE Retrospective based on prospectively acquired data. POPULATION Overall test dataset: 59 subjects (26 females); Study 1: 5 healthy subjects (zero females), Study 2: 8 healthy subjects (eight females), Study 3: 10 subjects with osteoarthritis (eight females), Study 4: 36 subjects with various knee pathology (10 females). FIELD STRENGTH/SEQUENCE A 3-T, quantitative double-echo steady state (qDESS). ASSESSMENT Four annotators manually segmented knee cartilage. Each reader segmented one of four qDESS datasets in the test dataset. Two DL models, one trained on qDESS data and another on Osteoarthritis Initiative (OAI)-DESS data, were assessed. Manual and automatic segmentations were compared by quantifying variations in segmentation accuracy, volume, and T2 relaxation times for superficial and deep cartilage. STATISTICAL TESTS Dice similarity coefficient (DSC) for segmentation accuracy. Lin's concordance correlation coefficient (CCC), Wilcoxon rank-sum tests, root-mean-squared error-coefficient-of-variation to quantify manual vs. automatic T2 and volume variations. Bland-Altman plots for manual vs. automatic T2 agreement. A P value < 0.05 was considered statistically significant. RESULTS DSCs for the qDESS-trained model, 0.79-0.93, were higher than those for the OAI-DESS-trained model, 0.59-0.79. T2 and volume CCCs for the qDESS-trained model, 0.75-0.98 and 0.47-0.95, were higher than respective CCCs for the OAI-DESS-trained model, 0.35-0.90 and 0.13-0.84. Bland-Altman 95% limits of agreement for superficial and deep cartilage T2 were lower for the qDESS-trained model, ±2.4 msec and ±4.0 msec, than the OAI-DESS-trained model, ±4.4 msec and ±5.2 msec. DATA CONCLUSION The qDESS-trained model may generalize well to independent qDESS datasets regardless of MR scanner, acquisition parameters, and subject population. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Andrew M Schmidt
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Arjun D Desai
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Electrical Engineering, Stanford University, Palo Alto, California, USA
| | - Lauren E Watkins
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Bioengineering, Stanford University, Palo Alto, California, USA
| | - Hollis A Crowder
- Mechanical Engineering, Stanford University, Palo Alto, California, USA
| | - Marianne S Black
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Mechanical Engineering, Stanford University, Palo Alto, California, USA
| | - Valentina Mazzoli
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Elka B Rubin
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Quin Lu
- Philips Healthcare North America, Gainesville, Florida, USA
| | - James W MacKay
- Department of Radiology, University of Cambridge, Cambridge, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Robert D Boutin
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Feliks Kogan
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Garry E Gold
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Bioengineering, Stanford University, Palo Alto, California, USA
| | - Brian A Hargreaves
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Electrical Engineering, Stanford University, Palo Alto, California, USA
- Bioengineering, Stanford University, Palo Alto, California, USA
| | - Akshay S Chaudhari
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Biomedical Data Science, Stanford University, Palo Alto, California, USA
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11
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Zhao S, Cahill DG, Li S, Xiao F, Blu T, Griffith JF, Chen W. Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network. Comput Biol Med 2022; 151:106295. [PMID: 36423533 DOI: 10.1016/j.compbiomed.2022.106295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/14/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE Two-dimensional (2D) fast spin echo (FSE) techniques play a central role in the clinical magnetic resonance imaging (MRI) of knee joints. Moreover, three-dimensional (3D) FSE provides high-isotropic-resolution magnetic resonance (MR) images of knee joints, but it has a reduced signal-to-noise ratio compared to 2D FSE. Deep-learning denoising methods are a promising approach for denoising MR images, but they are often trained using synthetic noise due to challenges in obtaining true noise distributions for MR images. In this study, inherent true noise information from two number of excitations (2-NEX) acquisition was used to develop a deep-learning model based on residual learning of convolutional neural network (CNN), and this model was used to suppress the noise in 3D FSE MR images of knee joints. METHODS A deep learning-based denoising method was developed. The proposed CNN used two-step residual learning over parallel transporting and residual blocks and was designed to comprehensively learn real noise features from 2-NEX training data. RESULTS The results of an ablation study validated the network design. The new method achieved improved denoising performance of 3D FSE knee MR images compared with current state-of-the-art methods, based on the peak signal-to-noise ratio and structural similarity index measure. The improved image quality after denoising using the new method was verified by radiological evaluation. CONCLUSION A deep CNN using the inherent spatial-varying noise information in 2-NEX acquisitions was developed. This method showed promise for clinical MRI assessments of the knee, and has potential applications for the assessment of other anatomical structures.
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Affiliation(s)
- Shutian Zhao
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Dónal G Cahill
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Siyue Li
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Fan Xiao
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Thierry Blu
- Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - James F Griffith
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Weitian Chen
- CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
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12
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Abouassaly M, Blumetti FC, Gauthier L, Willis RB, Kontio K, Highmore K, Abdeen N, Plint AC, Tse S, Barrowman N, Moroz PJ. Are 2 Radiographic Views As Good as 3 Views to Diagnose Ankle Fractures in Children and Adolescents? Pediatr Emerg Care 2022; 38:e1508-e1511. [PMID: 35947061 DOI: 10.1097/pec.0000000000002810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Ankle radiographs are among the most commonly obtained trauma images in the pediatric population, with the standard 3 views (AP/mortise [M]/lateral [L]) routinely ordered in the emergency department. The purpose of this study was to compare the diagnostic accuracy, sensitivity, and specificity of sets of 2 views (AP/L or M/L) with the standard 3 views. METHODS One hundred twenty sets of ankle radiographs of skeletally immature patients obtained in the emergency department of a level 1 pediatric trauma center were used. These included sets with and without fractures. Sets of 3 and 2 views were reviewed by pairs of pediatric-trained orthopedic surgeons, radiologists, and emergency physicians. Each completed 3 randomized viewing sessions where all possible combinations for each set of radiographs were reviewed. Diagnoses for the 3 sets of views were compared for accuracy, sensitivity, and specificity. RESULTS Overall accuracy, sensitivity, and specificity for all reviewers were as follows: AP/M/L 74%, 94%, and 90%, AP/L 71%, 90%, and 94%, as well as M/L 69%, 90%, and 91%. P values for accuracy, sensitivity, and specificity of AP/L and M/L compared with 3 views were 0.34, 0.04, and 0.52, as well as 0.04, 0.004, and 1.00, respectively. CONCLUSIONS In skeletally immature patients, statistically significant differences in accuracy were obtained when comparing the standard 3 AP/M/L views with more limited M/L views, suggesting that this set of 2 views is not as accurate. Differences in sensitivity of limited views were also statistically significant. Conversely, differences in accuracy between the standard 3 views and AP/Lateral views were not statistically significant. While more limited AP/L views may be comparable in accuracy and specificity and lead to dramatically decreased radiation and costs, this can be at the expense of less diagnostic sensitivity and increased risk of misdiagnosing or missing certain fractures. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
| | | | | | | | - Ken Kontio
- Dr Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Kerri Highmore
- Dr Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Nishard Abdeen
- Dr Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - Sandy Tse
- Dr Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Nick Barrowman
- Dr Children's Hospital of Eastern Ontario, Ottawa, Canada
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13
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Markhardt BK, Huang BK, Spiker AM, Chang EY. Interpretation of Cartilage Damage at Routine Clinical MRI: How to Match Arthroscopic Findings. Radiographics 2022; 42:1457-1473. [PMID: 35984752 PMCID: PMC9453290 DOI: 10.1148/rg.220051] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/19/2022] [Accepted: 04/25/2022] [Indexed: 11/11/2022]
Abstract
This review is intended to aid in the interpretation of damage to the articular cartilage at routine clinical MRI to improve clinical management. Relevant facets of the histologic and biochemical characteristics and clinical management of cartilage are discussed, as is MRI physics. Characterization of damage to the articular cartilage with MRI demands a detailed understanding of the normal and damaged appearance of the osteochondral unit in the context of different sequence parameters. Understanding the location of the subchondral bone plate is key to determining the depth of the cartilage lesion. Defining the bone plate at MRI is challenging because of the anisotropic fibrous organization of articular cartilage, which is susceptible to the "magic angle" phenomenon and chemical shift artifacts at the interface with the fat-containing medullary cavity. These artifacts may cause overestimation of the thickness of the subchondral bone plate and, therefore, overestimation of the depth of a cartilage lesion. In areas of normal cartilage morphology, isolated hyperintense and hypointense lesions often represent degeneration of cartilage at arthroscopy. Changes in the subchondral bone marrow at MRI also increase the likelihood that cartilage damage will be visualized at arthroscopy, even when a morphologic lesion cannot be resolved, and larger subchondral lesions are associated with higher grades at arthroscopy. The clinical significance of other secondary features of cartilage damage are also reviewed, including osteophytes, intra-articular bodies, and synovitis. Online supplemental material is available for this article. Work of the U.S. Government published under an exclusive license with the RSNA.
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Affiliation(s)
- B. Keegan Markhardt
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Brady K. Huang
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Andrea M. Spiker
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Eric Y. Chang
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
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14
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Minssen L, Renoux J, Abar G, Moya L, Brasseur JL, Li L, Crema MD. Three-dimensional turbo spin-echo (TSE) MRI assessment of indirect acute muscle injuries in athletes: comparison with two-dimensional TSE MRI. Eur Radiol 2022; 33:587-594. [PMID: 35927467 DOI: 10.1007/s00330-022-09005-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 06/09/2022] [Accepted: 06/30/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To evaluate three-dimensional (3D) turbo spin-echo (TSE) magnetic resonance imaging (MRI) for the assessment of acute muscle injuries in elite athletes in comparison with two-dimensional (2D) MRI. METHODS Elite athletes with clinically suspected acute muscle injury of the thigh who underwent both 2D and 3D MRI protocols on the same day were retrospectively included. Two musculoskeletal radiologists independently assessed 2D and 3D MRIs, with both techniques evaluated separately 1-month apart. Muscle injuries were evaluated using the BAMIC and the INSEP classifications. A second assessment of injuries was performed by each reader 2 months after the initial readings. Agreement was determined using weighted kappa statistics. The level of diagnostic confidence in classifying injuries was also assessed for both MRI protocols. RESULTS A total of 40 athletes were included. Intra-reader agreement when comparing injury grades from 2D vs. 3D for both INSEP and BAMIC classifications was almost perfect for both readers and ranged between 0.84 and 0.98. Inter-reader agreement was substantial to almost perfect and ranged from 0.78 to 0.93 for the 2D protocol, and from 0.78 to 0.95 for the 3D protocol. Intra-reader agreement for each MRI protocol separately was almost perfect to perfect for both readers and ranged between 0.84 and 1.00. Diagnostic confidence for grading injuries improved for both readers when using the 3D protocol. CONCLUSIONS Compared to 2D MRI, 3D TSE MRI is a reliable technique for acute muscular injury assessment, providing faster acquisition times and improving the diagnostic confidence. KEY POINTS • Compared to 2D MRI, 3D TSE MRI is a reliable technique for the assessment of acute muscular injuries. • 3D TSE MRI has the advantage of faster total acquisition times, thinner sections, and multiplanar reconstruction, improving the confidence for structural assessment including connective tissue involvement.
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Affiliation(s)
- Lise Minssen
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France.,Department of Radiology, Saint-Antoine Hospital, APHP, UPMC Sorbonne University, Paris, France
| | - Jérôme Renoux
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France.,Department of Radiology, American Hospital of Paris, Paris, France
| | - Guillaume Abar
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France
| | - Loris Moya
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France.,Department of Radiology, American Hospital of Paris, Paris, France
| | - Jean-Louis Brasseur
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France.,Department of Radiology, Imagerie Médicale de la Plaine de France (IMPF), Montfermeil, France
| | - Ling Li
- Department of Statistics, Pfizer Inc., New York, NY, USA
| | - Michel D Crema
- Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France. .,Department of Sports Medicine, French National Institute of Sports (INSEP), Paris, France. .,Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, MA, USA.
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15
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Guimarães JB, Chemin RN, Araujo FF, Link TM, Silva FD, Bitar A, Nico MAC, Filho AGO. Meniscal Root Tears: An Update Focused on Preoperative and Postoperative MRI Findings. AJR Am J Roentgenol 2022; 219:269-278. [PMID: 35293231 DOI: 10.2214/ajr.22.27338] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Meniscal root tears represent radial tears or avulsions of the meniscal cartilage at the tibial attachment site that profoundly affect meniscal biomechanics and kinematics. Meniscal root tears have the functional effect of a total meniscectomy and can lead to rapid degenerative change with development of early knee osteoarthritis (OA). A growing range of arthroscopic surgical techniques have been developed to repair meniscal root tears with the aim of restoring joint kinematics and contact pressures and delaying the development of OA. With increased understanding of the anatomy and biomechanics of the meniscal root, meniscal root injury repair has become the treatment of choice in knees with nonadvanced OA. This article reviews the anatomy and biomechanics of the meniscal roots, clinical and imaging diagnostic criteria of meniscal root tears, correlation between arthroscopy and MRI in the diagnosis and classification of meniscal root tears, and expected and abnormal MRI findings after meniscal root repair. Familiarity with MRI signs and classifications of meniscal root tears, as well as with root repair surgical techniques, can aid radiologists in correctly reporting preoperative and postoperative MRI findings.
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Affiliation(s)
- Júlio B Guimarães
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St, Ste 350, San Francisco, CA 94158
| | - Renan N Chemin
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
| | - Flavia F Araujo
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St, Ste 350, San Francisco, CA 94158
| | - Flávio D Silva
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
| | - Alexandre Bitar
- Department of Orthopedic Surgery, Instituto Vita, Sao Paulo, Brazil
| | - Marcelo A C Nico
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
| | - Alípio G O Filho
- Department of Musculoskeletal Radiology, Fleury Medicina e Saúde, Sao Paulo, Brazil
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16
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MRI evaluation of soft tissue tumors: comparison of a fast, isotropic, 3D T2-weighted fat-saturated sequence with a conventional 2D T2-weighted fat-saturated sequence for tumor characteristics, resolution, and acquisition time. Eur Radiol 2022; 32:8670-8680. [PMID: 35751699 DOI: 10.1007/s00330-022-08937-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/24/2022] [Accepted: 05/30/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To test whether a 4-fold accelerated 3D T2-weighted (T2) CAIPIRINHA SPACE TSE sequence with isotropic voxel size is equivalent to conventional 2DT2 TSE for the evaluation of intrinsic and perilesional soft tissue tumors (STT) characteristics. METHODS For 108 patients with histologically-proven STTs, MRI, including 3DT2 (CAIPIRINHA SPACE TSE) and 2DT2 (TSE) sequences, was performed. Two radiologists evaluated each sequence for quality (diagnostic, non-diagnostic), tumor characteristics (heterogeneity, signal intensity, margin), and the presence or absence of cortical involvement, marrow edema, and perilesional edema (PLE); tumor size and PLE extent were measured. Signal-to-noise (SNR) and contrast-to-noise (CNR) ratios and acquisition times for 2DT2 in two planes and 3DT2 sequences were reported. Descriptive statistics and inter-method agreement were reported. RESULTS Image quality was diagnostic for all sequences (100% [108/108]). No difference was observed between 3DT2 and 2DT2 tumor characteristics (p < 0.05). There was no difference in mean tumor size (3DT2: 2.9 ± 2.5 cm, 2DT2: 2.8 ± 2.6 cm, p = 0.4) or PLE extent (3DT2:0.5 ± 1.2 cm, 2DT2:0.5 ± 1.0 cm, p = 0.9) between the sequences. There was no difference in the SNR of tumors, marrow, and fat between the sequences, whereas the SNR of muscle was higher (p < 0.05) on 3DT2 than 2DT2. CNR measures on 3DT2 were similar to 2DT2 (p > 0.1). The average acquisition time was shorter for 3DT2 compared with 2DT2 (343 ± 127 s vs 475 ± 162 s, respectively). CONCLUSION Isotropic 3DT2 MRI offers higher spatial resolution, faster acquisition times, and equivalent assessments of STT characteristics compared to conventional 2DT2 MRI in two planes. 3DT2 is interchangeable with a 2DT2 sequence in tumor protocols. KEY POINTS • Isotropic 3DT2 CAIPIRINHA SPACE TSE offers higher spatial resolution than 2DT2 TSE and is equivalent to 2DT2 TSE for assessments of soft tissue tumor intrinsic and perilesional characteristics. • Multiplanar reformats of 3DT2 CAIPIRINHA SPACE TSE can substitute for 2DT2 TSE acquired in multiple planes, thereby reducing the acquisition time of MRI tumor protocols. • 3DT2 CAIPIRINHA SPACE TSE and 2DT2 TSE had similar CNR of tissues.
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17
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Kakigi T, Sakamoto R, Tagawa H, Kuriyama S, Goto Y, Nambu M, Sagawa H, Numamoto H, Miyake KK, Saga T, Matsuda S, Nakamoto Y. Diagnostic advantage of thin slice 2D MRI and multiplanar reconstruction of the knee joint using deep learning based denoising approach. Sci Rep 2022; 12:10362. [PMID: 35725760 PMCID: PMC9209466 DOI: 10.1038/s41598-022-14190-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/02/2022] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study is to evaluate whether thin-slice high-resolution 2D fat-suppressed proton density-weighted image of the knee joint using denoising approach with deep learning-based reconstruction (dDLR) with MPR is more useful than 3D FS-PD multi planar voxel image. Twelve patients who underwent MRI of the knee at 3T and 13 knees were enrolled. Denoising effect was quantitatively evaluated by comparing the coefficient of variation (CV) before and after dDLR. For the qualitative assessment, two radiologists evaluated image quality, artifacts, anatomical structures, and abnormal findings using a 5-point Likert scale between 2D and 3D. All of them were statistically analyzed. Gwet’s agreement coefficients were also calculated. For the scores of abnormal findings, we calculated the percentages of the cases with agreement with high confidence. The CV after dDLR was significantly lower than the one before dDLR (p < 0.05). As for image quality, artifacts and anatomical structure, no significant differences were found except for flow artifact (p < 0.05). The agreement was significantly higher in 2D than in 3D in abnormal findings (p < 0.05). In abnormal findings, the percentage with high confidence was higher in 2D than in 3D (p < 0.05). By applying dDLR to 2D, almost equivalent image quality to 3D could be obtained. Furthermore, abnormal findings could be depicted with greater confidence and consistency, indicating that 2D with dDLR can be a promising imaging method for the knee joint disease evaluation.
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Affiliation(s)
- Takahide Kakigi
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.,Preemptive Medicine and Lifestyle-Related Disease Research Center, Kyoto University Hospital, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hiroshi Tagawa
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shinichi Kuriyama
- Department of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yoshihito Goto
- Department of Health Informatics, Kyoto University Graduate School of Medicine/School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Masahito Nambu
- MRI Systems Division, Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara, Tochigi, 324-8550, Japan
| | - Hajime Sagawa
- Division of Clinical Radiology Service, Kyoto University Hospital, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hitomi Numamoto
- Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kanae Kawai Miyake
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.,Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tsuneo Saga
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.,Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shuichi Matsuda
- Department of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
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18
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Aboelmagd SM, Low SB, Cahir JG, Loveday D, Marshall AT, Teh J, Vaughan P, Grainger A, MacGregor A, Toms AP. The Norwich Osteoarthritis of the Ankle MRI Score (NOAMS): a reliability study. Clin Radiol 2022; 77:e449-e457. [PMID: 35367050 DOI: 10.1016/j.crad.2022.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 02/24/2022] [Indexed: 11/30/2022]
Abstract
AIM To define and test the inter- and intra-rater reliability of a grading system for staging osteoarthritis (OA) of the ankle with magnetic resonance imaging (MRI) (Norwich Osteoarthritis of the Ankle MRI Score, NOAMS). MATERIALS AND METHODS The MRI features to be included in the score were defined by a multidisciplinary expert panel through a Delphi process. An anonymised randomised dataset of 50 MRI studies was created from patients with concurrent plain radiographs to include 10 ankles of each of the Kellgren-Lawrence grades 0 to 4. Two experienced musculoskeletal radiologists and two trainees scored each ankle MRI twice independently and blinded to the plain radiographs. RESULTS The inter-rater kappa coefficient of agreement for cartilage disease was 0.88 (95% confidence interval [CI]: 0.85, 0.91) for experienced raters and 0.71 (95% CI: 0.67, 0.76) for trainees. Inter-rater agreement for subchondral bone marrow oedema and cysts varied from 0.73 to 0.82 for experienced raters and from 0.63 to 0.75 for trainees with lowest 95% CI of 0.48 and 0.63. When bone marrow lesions were combined into a total joint score the level of agreement increased to between 0.88 and 0.97 with lowest 95% CI of 0.86. Combining cartilage zone scores did not increase the reliability coefficients. CONCLUSION An expert panel considered that cartilage degradation and subchondral bone marrow lesions were the most important features for staging the severity of ankle OA on MRI. Experienced observers can grade the severity of ankle OA on MRI with a clinically useful high degree of reproducibility.
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Affiliation(s)
- S M Aboelmagd
- Department of Radiology, Royal Devon and Exeter NHS Trust, UK
| | - S B Low
- Department of Radiology, Norfolk & Norwich University Hospital, UK
| | - J G Cahir
- Department of Radiology, Norfolk & Norwich University Hospital, UK
| | - D Loveday
- Department of Orthopaedic Surgery, Norfolk & Norwich University Hospital, UK
| | - A T Marshall
- Department of Rheumatology, Norfolk & Norwich University Hospital, UK
| | - J Teh
- Department of Radiology, Nuffield Orthopaedic Centre, Oxford, UK
| | - P Vaughan
- Department of Trauma and Orthopaedics, West Suffolk Hospital, Bury St Edmunds, UK
| | - A Grainger
- Department of Radiology, Addenbrooke's Hospital, Cambridge, UK
| | - A MacGregor
- Norwich Medical School, University of East Anglia, UK
| | - A P Toms
- Department of Radiology, Addenbrooke's Hospital, Cambridge, UK; Norwich Medical School, University of East Anglia, UK; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.
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3D CAIPIRINHA SPACE versus standard 2D TSE for routine knee MRI: a large-scale interchangeability study. Eur Radiol 2022; 32:6456-6467. [PMID: 35353196 DOI: 10.1007/s00330-022-08715-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/03/2022] [Accepted: 03/05/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To perform a large-scale interchangeability study comparing 3D controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) sampling perfection with application optimized contrast using different flip angle evolutions (SPACE) TSE with standard 2D TSE for knee MRI. METHODS In this prospective study, 250 patients underwent 3 T knee MRI, including a multicontrast 3D CAIPIRINHA SPACE TSE (9:26 min) and a standard 2D TSE protocol (12:14 min). Thirty-three (13%) patients had previous anterior cruciate ligament and/or meniscus surgery. Two radiologists assessed MRIs for image quality and identified pathologies of menisci, ligaments, and cartilage by using a 4-point Likert scale according to the level of diagnostic confidence. Interchangeability of the protocols was tested under the same-reader scenario using a bootstrap percentile confidence interval. Interreader reliability and intermethod concordance were also evaluated. RESULTS Despite higher image quality and diagnostic confidence for standard 2D TSE compared to 3D CAIPIRINHA SPACE TSE, the protocols were found interchangeable for diagnosing knee abnormalities, except for patellar (6.8% difference; 95% CI: 4.0, 9.6) and trochlear (3.6% difference; 95% CI: 0.8, 6.6) cartilage defects. The interreader reliability was substantial to almost perfect for 2D and 3D MRI (range κ, 0.785-1 and κ, 0.725-0.964, respectively). Intermethod concordance was almost perfect for all diagnoses (range κ, 0.817-0.986). CONCLUSION Multicontrast 3D CAIPIRINHA SPACE TSE and standard 2D TSE protocols perform interchangeably for diagnosing knee abnormalities, except for patellofemoral cartilage defects. Despite the radiologist's preference for 2D TSE imaging, a pursuit towards time-saving 3D TSE knee MRI is justified for routine practice. KEY POINTS • Multicontrast 3D CAIPIRINHA SPACE and standard 2D TSE protocols perform interchangeably for diagnosing knee abnormalities, except for patellofemoral cartilage defects. • Radiologists are more confident in diagnosing knee abnormalities on 2D TSE than on 3D CAIPIRINHA SPACE TSE MRI. • Despite the radiologist's preference for 2D TSE, a pursuit towards accelerated 3D TSE knee MRI is justified for routine practice.
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Comparative Analysis of Subtalar Ligaments Between Patients With Talocalcaneal Coalition and Control Subjects Using 3-Dimensional Magnetic Resonance Imaging. J Comput Assist Tomogr 2022; 46:440-446. [DOI: 10.1097/rct.0000000000001290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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21
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Sui H, Li J, Liu L, Lv Z, Zhang Y, Dai Y, Mo Z. Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing. J Pain Res 2022; 15:577-590. [PMID: 35241934 PMCID: PMC8887673 DOI: 10.2147/jpr.s345210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/28/2022] [Indexed: 11/29/2022] Open
Abstract
Purpose The three-dimensional (3D) sequence of magnetic resonance imaging (MRI) plays a critical role in the imaging of musculoskeletal joints; however, its long acquisition time limits its clinical application. In such conditions, compressed sensing (CS) is introduced to accelerate MRI in clinical practice. We aimed to investigate the feasibility of an isotropic 3D variable-flip-angle fast spin echo (FSE) sequence with CS technique (CS-MATRIX) compared to conventional 2D sequences in knee imaging. Methods Images from different sequences of both the accelerated CS-MATRIX and the corresponding conventional acquisitions were prospectively analyzed and compared. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the structures within the knees were measured for quantitative analysis. The subjective image quality and diagnostic agreement were compared between CS-MATRIX and conventional 2D sequences. Quantitative and subjective image quality scores were statistically analyzed with the paired t-test and Wilcoxon signed-rank test, respectively. Diagnostic agreements of knee substructure were assessed using Cohen’s weighted kappa statistic. Results For quantitative analysis, images from the CS-MATRIX sequence showed a significantly higher SNR than T2-fs 2D sequences for visualizing cartilage, menisci, and ligaments, as well as a higher SNR than proton density (pd) 2D sequences for visualizing menisci and ligaments. There was no significant difference between CS-MATRIX and 2D T2-fs sequences in subjective image quality assessment. The diagnostic agreement was rated as moderate to very good between CS-MATRIX and 2D sequences. Conclusion This study demonstrates the feasibility and clinical potential of the CS-MATRIX sequence technique for detecting knee lesions The CS-MATRIX sequence allows for faster knee imaging than conventional 2D sequences, yielding similar image quality to 2D sequences.
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Affiliation(s)
- He Sui
- China-Japan Union Hospital of Jilin University, Changchun, People’s Republic of China
| | - Jin Li
- Jilin Province People’s Hospital, Changchun, People’s Republic of China
- The Department of Trauma Surgery, Shanghai Oriental Hospital, Shanghai, People's Republic of China
| | - Lin Liu
- China-Japan Union Hospital of Jilin University, Changchun, People’s Republic of China
| | - Zhongwen Lv
- China-Japan Union Hospital of Jilin University, Changchun, People’s Republic of China
| | - Yunfei Zhang
- Central Research Institute, United Imaging Healthcare, Shanghai, 201800, People’s Republic of China
| | - Yongming Dai
- Central Research Institute, United Imaging Healthcare, Shanghai, 201800, People’s Republic of China
| | - Zhanhao Mo
- China-Japan Union Hospital of Jilin University, Changchun, People’s Republic of China
- Correspondence: Zhanhao Mo, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Erdao District, Changchun, People’s Republic of China, Email
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22
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Gao F, Wen Z, Dou S, Kan X, Wei S, Ge Y. High-Resolution Simultaneous Multi-Slice Accelerated Turbo Spin-Echo Musculoskeletal Imaging: A Head-to-Head Comparison With Routine Turbo Spin-Echo Imaging. Front Physiol 2022; 12:759888. [PMID: 34992546 PMCID: PMC8724040 DOI: 10.3389/fphys.2021.759888] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/17/2021] [Indexed: 02/05/2023] Open
Abstract
Background/Aim: The turbo spin-echo (TSE) sequence is widely used for musculoskeletal (MSK) imaging; however, its acquisition speed is limited and can be easily affected by motion artifacts. We aimed to evaluate whether the use of a simultaneous multi-slice TSE (SMS-TSE) sequence can accelerate MSK imaging while maintaining image quality when compared with the routine TSE sequence. Methods: We prospectively enrolled 71 patients [mean age, 37.43 ± 12.56 (range, 20–67) years], including 37 men and 34 women, to undergo TSE and SMS sequences. The total scanning times for the wrist, ankle and knee joint with routine sequence were 14.92, 13.97, and 13.48 min, respectively. For the SMS-TSE sequence, they were 7.52, 7.20, and 6.87 min. Quantitative parameters, including the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), were measured. Three experienced MSK imaging radiologists qualitatively evaluated the image quality of bone texture, cartilage, tendons, ligament, meniscus, and artifact using a 5-point evaluation system, and the diagnostic performance of the SMS-TSE sequences was evaluated. Results: Compared with the routine TSE sequences, the scanning time was lower by 49.60, 48.46, and 49.04% using SMS-TSE sequences for the wrist, ankle, and knee joints, respectively. For the SNR comparison, the SMS-TSE sequences were significantly higher than the routine TSE sequence for wrist (except for Axial-T2WI-FS), ankle, and knee joint MR imaging (all p < 0.05), but no statistical significance was obtained for the CNR measurement (all p > 0.05, except for Sag-PDWI-FS in ankle joint). For the wrist joint, the diagnostic sensitivity, specificity, and accuracy were 88.24, 100, and 92%. For the ankle joint, they were 100, 75, and 93.33%. For the knee joint, they were 87.50, 85.71, and 87.10%. Conclusion: The use of the SMS-TSE sequence in the wrist, ankle, and knee joints can significantly reduce the scanning time and show similar image quality when compared with the routine TSE sequence.
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Affiliation(s)
- Feifei Gao
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zejun Wen
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Shewei Dou
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaojing Kan
- Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Shufang Wei
- Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Yinghui Ge
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China.,Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
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Alsayyad MAI, Ali Shehata KA, Khattab RT. Role of adding T2 mapping sequence to the routine MR imaging protocol in the assessment of articular knee cartilage in osteoarthritis. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00453-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
This work aims at elucidating the role of adding complementary T2 mapping to the routine 1.5 Tesla MRI protocol in the articular knee cartilage assessment for early detection of osteoarthritis, and also, comparing the articular cartilage thickness and T2 relaxation times between the case and control groups regarding knee compartments affection.
Results
Both sensitivities and specificities were 73.3% and 100%, respectively, for the standard MR protocol alone and 96.7% and 90% after adding the T2 mapping to the standard MR protocol that leads to significant sensitivity improvement. A comparison between patients and controls as regards T2 values showed a highly statistically significant difference (independent T test, p <0.001).
Conclusion
A combination of both morphological and T2 mapping MRI, together with clinical evaluation represents a desirable multimodal approach to the diagnosis of osteoarthritis. In the early detection of osteoarthritis, adding T2 mapping sequence to the standard MR protocol at 1.5 Tesla improved sensitivity from 73.3 to 96.7%.
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Khodarahmi I, Fritz J. The Value of 3 Tesla Field Strength for Musculoskeletal Magnetic Resonance Imaging. Invest Radiol 2021; 56:749-763. [PMID: 34190717 DOI: 10.1097/rli.0000000000000801] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Musculoskeletal magnetic resonance imaging (MRI) is a careful negotiation between spatial, temporal, and contrast resolution, which builds the foundation for diagnostic performance and value. Many aspects of musculoskeletal MRI can improve the image quality and increase the acquisition speed; however, 3.0-T field strength has the highest impact within the current diagnostic range. In addition to the favorable attributes of 3.0-T field strength translating into high temporal, spatial, and contrast resolution, many 3.0-T MRI systems yield additional gains through high-performance gradients systems and radiofrequency pulse transmission technology, advanced multichannel receiver technology, and high-end surface coils. Compared with 1.5 T, 3.0-T MRI systems yield approximately 2-fold higher signal-to-noise ratios, enabling 4 times faster data acquisition or double the matrix size. Clinically, 3.0-T field strength translates into markedly higher scan efficiency, better image quality, more accurate visualization of small anatomic structures and abnormalities, and the ability to offer high-end applications, such as quantitative MRI and magnetic resonance neurography. Challenges of 3.0-T MRI include higher magnetic susceptibility, chemical shift, dielectric effects, and higher radiofrequency energy deposition, which can be managed successfully. The higher total cost of ownership of 3.0-T MRI systems can be offset by shorter musculoskeletal MRI examinations, higher-quality examinations, and utilization of advanced MRI techniques, which then can achieve higher gains and value than lower field systems. We provide a practice-focused review of the value of 3.0-T field strength for musculoskeletal MRI, practical solutions to challenges, and illustrations of a wide spectrum of gainful clinical applications.
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Affiliation(s)
- Iman Khodarahmi
- From the Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York, NY
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25
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Altahawi F, Pierce J, Aslan M, Li X, Winalski CS, Subhas N. 3D MRI of the Knee. Semin Musculoskelet Radiol 2021; 25:455-467. [PMID: 34547811 DOI: 10.1055/s-0041-1730400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Three-dimensional (3D) magnetic resonance imaging (MRI) of the knee is widely used in musculoskeletal (MSK) imaging. Currently, 3D sequences are most commonly used for morphological imaging. Isotropic 3D MRI provides higher out-of-plane resolution than standard two-dimensional (2D) MRI, leading to reduced partial volume averaging artifacts and allowing for multiplanar reconstructions in any plane with any thickness from a single high-resolution isotropic acquisition. Specifically, isotropic 3D fast spin-echo imaging, with options for tissue weighting similar to those used in multiplanar 2D FSE imaging, is of particular interest to MSK radiologists. New applications for 3D spatially encoded sequences are also increasingly available for clinical use. These applications offer advantages over standard 2D techniques for metal artifact reduction, quantitative cartilage imaging, nerve imaging, and bone shape analysis. Emerging fast imaging techniques can be used to overcome the long acquisition times that have limited the adoption of 3D imaging in clinical protocols.
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Affiliation(s)
- Faysal Altahawi
- Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
| | - Jason Pierce
- Diagnostic Radiology Residency, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
| | - Mercan Aslan
- Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
| | - Xiaojuan Li
- Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio.,Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Carl S Winalski
- Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio.,Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Naveen Subhas
- Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
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Abstract
Osteoarthritis, characterized by the breakdown of articular cartilage and other joint structures, is one of the most prevalent and disabling chronic diseases in the United States. Magnetic resonance imaging is a commonly used imaging modality to evaluate patients with joint pain. Both two-dimensional fast spin-echo sequences (2D-FSE) and three-dimensional (3D) sequences are used in clinical practice to evaluate articular cartilage. The 3D sequences have many advantages compared with 2D-FSE sequences, such as their high in-plane spatial resolution, thin continuous slices that reduce the effects of partial volume averaging, and ability to create multiplanar reformat images following a single acquisition. This article reviews the different 3D imaging techniques available for evaluating cartilage morphology, illustrates the strengths and weaknesses of 3D approaches compared with 2D-FSE approaches for cartilage imaging, and summarizes the diagnostic performance of 2D-FSE and 3D sequences for detecting cartilage lesions within the knee and hip joints.
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Affiliation(s)
- Richard Kijowski
- Department of Radiology, New York University Grossman School of Medicine, New York, New York
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27
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Chaudhari AS, Grissom MJ, Fang Z, Sveinsson B, Lee JH, Gold GE, Hargreaves BA, Stevens KJ. Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement. AJR Am J Roentgenol 2021; 216:1614-1625. [PMID: 32755384 PMCID: PMC8862596 DOI: 10.2214/ajr.20.24172] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
BACKGROUND. Potential approaches for abbreviated knee MRI, including prospective acceleration with deep learning, have achieved limited clinical implementation. OBJECTIVE. The objective of this study was to evaluate the interreader agreement between conventional knee MRI and a 5-minute 3D quantitative double-echo steady-state (qDESS) sequence with automatic T2 mapping and deep learning super-resolutionaugmentation and to compare the diagnostic performance of the two methods regarding findings from arthroscopic surgery. METHODS. Fifty-one patients with knee pain underwent knee MRI that included an additional 3D qDESS sequence with automatic T2 mapping. Fourier interpolation was followed by prospective deep learning super resolution to enhance qDESS slice resolution twofold. A musculoskeletal radiologist and a radiology resident performed independent retrospective evaluations of articular cartilage, menisci, ligaments, bones, extensor mechanism, and synovium using conventional MRI. Following a 2-month washout period, readers reviewed qDESS images alone followed by qDESS with the automatic T2 maps. Interreader agreement between conventional MRI and qDESS was computed using percentage agreement and Cohen kappa. The sensitivity and specificity of conventional MRI, qDESS alone, and qDESS plus T2 mapping were compared with arthroscopic findings using exact McNemar tests. RESULTS. Conventional MRI and qDESS showed 92% agreement in evaluating all tissues. Kappa was 0.79 (95% CI, 0.76-0.81) across all imaging findings. In 43 patients who underwent arthroscopy, sensitivity and specificity were not significantly different (p = .23 to > .99) between conventional MRI (sensitivity, 58-93%; specificity, 27-87%) and qDESS alone (sensitivity, 54-90%; specificity, 23-91%) for cartilage, menisci, ligaments, and synovium. For grade 1 cartilage lesions, sensitivity and specificity were 33% and 56%, respectively, for conventional MRI; 23% and 53% for qDESS (p = .81); and 46% and 39% for qDESS with T2 mapping (p = .80). For grade 2A lesions, values were 27% and 53% for conventional MRI, 26% and 52% for qDESS (p = .02), and 58% and 40% for qDESS with T2 mapping (p < .001). CONCLUSION. The qDESS method prospectively augmented with deep learning showed strong interreader agreement with conventional knee MRI and near-equivalent diagnostic performance regarding arthroscopy. The ability of qDESS to automatically generate T2 maps increases sensitivity for cartilage abnormalities. CLINICAL IMPACT. Using prospective artificial intelligence to enhance qDESS image quality may facilitate an abbreviated knee MRI protocol while generating quantitative T2 maps.
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Affiliation(s)
- Akshay S Chaudhari
- Department of Radiology, Lucas Center for Imaging, Stanford University, 1201 Welch Rd, PS 055B, Stanford, CA 94305
| | | | | | - Bragi Sveinsson
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
- Department of Radiology, Harvard Medical School, Boston, MA
| | - Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA
- Department of Bioengineering, Stanford University, Stanford, CA
- Department of Neurosurgery, Stanford University, Stanford, CA
- Department of Electrical Engineering, Stanford University, Stanford, CA
| | - Garry E Gold
- Department of Radiology, Lucas Center for Imaging, Stanford University, 1201 Welch Rd, PS 055B, Stanford, CA 94305
- Department of Bioengineering, Stanford University, Stanford, CA
- Department of Orthopaedic Surgery, Stanford University, Redwood City, CA
| | - Brian A Hargreaves
- Department of Radiology, Lucas Center for Imaging, Stanford University, 1201 Welch Rd, PS 055B, Stanford, CA 94305
- Department of Bioengineering, Stanford University, Stanford, CA
- Department of Electrical Engineering, Stanford University, Stanford, CA
| | - Kathryn J Stevens
- Department of Radiology, Lucas Center for Imaging, Stanford University, 1201 Welch Rd, PS 055B, Stanford, CA 94305
- Department of Orthopaedic Surgery, Stanford University, Redwood City, CA
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Fayad LM, Parekh VS, Luna RDC, Ko CC, Tank D, Fritz J, Ahlawat S, Jacobs MA. A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible? Invest Radiol 2021; 56:357-368. [PMID: 33350717 PMCID: PMC8087629 DOI: 10.1097/rli.0000000000000751] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
MATERIALS AND METHODS This single-center study was approved by the institutional review board. Artificial intelligence-based FS MRI scans were created from non-FS images using a deep learning system with a modified convolutional neural network-based U-Net that used a training set of 25,920 images and validation set of 16,416 images. Three musculoskeletal radiologists reviewed 88 knee MR studies in 2 sessions, the original (proton density [PD] + FSPD) and the synthetic (PD + AFSMRI). Readers recorded AFSMRI quality (diagnostic/nondiagnostic) and the presence or absence of meniscal, ligament, and tendon tears; cartilage defects; and bone marrow abnormalities. Contrast-to-noise rate measurements were made among subcutaneous fat, fluid, bone marrow, cartilage, and muscle. The original MRI sequences were used as the reference standard to determine the diagnostic performance of AFSMRI (combined with the original PD sequence). This is a fully balanced study design, where all readers read all images the same number of times, which allowed the determination of the interchangeability of the original and synthetic protocols. Descriptive statistics, intermethod agreement, interobserver concordance, and interchangeability tests were applied. A P value less than 0.01 was considered statistically significant for the likelihood ratio testing, and P value less than 0.05 for all other statistical analyses. RESULTS Artificial intelligence-based FS MRI quality was rated as diagnostic (98.9% [87/88] to 100% [88/88], all readers). Diagnostic performance (sensitivity/specificity) of the synthetic protocol was high, for tears of the menisci (91% [71/78], 86% [84/98]), cruciate ligaments (92% [12/13], 98% [160/163]), collateral ligaments (80% [16/20], 100% [156/156]), and tendons (90% [9/10], 100% [166/166]). For cartilage defects and bone marrow abnormalities, the synthetic protocol offered an overall sensitivity/specificity of 77% (170/221)/93% (287/307) and 76% (95/125)/90% (443/491), respectively. Intermethod agreement ranged from moderate to substantial for almost all evaluated structures (menisci, cruciate ligaments, collateral ligaments, and bone marrow abnormalities). No significant difference was observed between methods for all structural abnormalities by all readers (P > 0.05), except for cartilage assessment. Interobserver agreement ranged from moderate to substantial for almost all evaluated structures. Original and synthetic protocols were interchangeable for the diagnosis of all evaluated structures. There was no significant difference for the common exact match proportions for all combinations (P > 0.01). The conspicuity of all tissues assessed through contrast-to-noise rate was higher on AFSMRI than on original FSPD images (P < 0.05). CONCLUSIONS Artificial intelligence-based FS MRI (3D AFSMRI) is feasible and offers a method for fast imaging, with similar detection rates for structural abnormalities of the knee, compared with original 3D MR sequences.
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Affiliation(s)
- Laura M. Fayad
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
| | - Vishwa S. Parekh
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
- Department of Computer Science, The Johns Hopkins University, Baltimore, MD, USA
| | - Rodrigo de Castro Luna
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
| | - Charles C. Ko
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
| | - Dharmesh Tank
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
| | - Jan Fritz
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
- Department of Radiology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA
| | - Shivani Ahlawat
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
| | - Michael A. Jacobs
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions MD, USA
- Sidney Kimmel Comprehensive Cancer Center., The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Assessment of the Usefulness of Image Reconstruction in the Oblique and Double-oblique Sagittal Planes for Magnetic Resonance Imaging of the Canine Cranial Cruciate Ligament. J Vet Res 2021; 65:209-216. [PMID: 34250306 PMCID: PMC8256465 DOI: 10.2478/jvetres-2021-0024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction The aim of the study was to determine the quality and significance of the magnetic resonance image of the canine knee after reconstruction in the oblique and double-oblique sagittal plane. This reconstruction and 3D images are rarely used in common protocols due to the longer study time they require. The study aimed to demonstrate significance for such diagnostic images in specific sequences in order to stimulate consideration of their more frequent use in diagnosis of diseases of the cruciate ligament in dogs. Material and Methods All tests were carried out using an open magnetic resonance tomography scanner with magnetic field induction. The images obtained from the 30 canine patients examined were reconstructed and evaluated by independent appraisers. Statistical analysis was performed. Results The study showed that MRI of the stifle joint using 3D sequences provides higher quality images of the cranial cruciate ligament in dogs. The results of the statistical analysis showed that multi-faceted reconstruction allows the secondary determination of the oblique imaging planes and obtains images of adequate quality. Conclusion It can be concluded that multi-faceted reconstruction facilitates the secondary determination of oblique imaging planes. This reconstruction additionally makes images available of better quality compared to the 2D sequence.
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Van Dyck P, Smekens C, Vanhevel F, De Smet E, Roelant E, Sijbers J, Jeurissen B. Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging. Invest Radiol 2021; 55:481-493. [PMID: 32404629 DOI: 10.1097/rli.0000000000000676] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The purpose of this study was to assess the technical feasibility of 3-dimensional (3D) super-resolution reconstruction (SRR) of 2D turbo spin echo (TSE) knee magnetic resonance imaging (MRI) and to compare its image quality with conventional 3D TSE sampling perfection with application optimized contrast using different flip angle evolutions (SPACE) MRI. MATERIALS AND METHODS Super-resolution reconstruction 2D TSE MRI and 3D TSE SPACE images were acquired from a phantom and from the knee of 22 subjects (8 healthy volunteers and 14 patients) using a clinical 3-T scanner. For SRR, 7 anisotropic 2D TSE stacks (voxel size, 0.5 × 0.5 × 2.0 mm; scan time per stack, 1 minute 55 seconds; total scan time, 13 minutes 25 seconds) were acquired with the slice stack rotated around the phase-encoding axis. Super-resolution reconstruction was performed at an isotropic high-resolution grid with a voxel size of 0.5 × 0.5 × 0.5 mm. Direct isotropic 3D image acquisition was performed with the conventional SPACE sequence (voxel size, 0.5 × 0.5 × 0.5 mm; scan time, 12 minutes 42 seconds). For quantitative evaluation, perceptual blur metrics and edge response functions were obtained in the phantom image, and signal-to-noise and contrast-to-noise ratios were measured in the images from the healthy volunteers. Images were qualitatively evaluated by 2 independent radiologists in terms of overall image quality, edge blurring, anatomic visibility, and diagnostic confidence to assess normal and abnormal knee structures. Nonparametric statistical analysis was performed, and significance was defined for P values less than 0.05. RESULTS In the phantom, perceptual blur metrics and edge response functions demonstrated a clear improvement in spatial resolution for SRR compared with conventional 3D SPACE. In healthy subjects, signal-to-noise and contrast-to-noise ratios in clinically relevant structures were not significantly different between SRR and 3D SPACE. Super-resolution reconstruction provided better overall image quality and less edge blurring than conventional 3D SPACE, yet the perceived image contrast was better for 3D SPACE. Super-resolution reconstruction received significantly better visibility scores for the menisci, whereas the visibility of cartilage was significantly higher for 3D SPACE. Ligaments had high visibility on both SRR and 3D SPACE images. The diagnostic confidence for assessing menisci was significantly higher for SRR than for conventional 3D SPACE, whereas there were no significant differences between SRR and 3D SPACE for cartilage and ligaments. The interreader agreement for assessing menisci was substantial with 3D SPACE and almost perfect with SRR, and the agreement for assessing cartilage was almost perfect with 3D SPACE and moderate with SRR. CONCLUSIONS We demonstrate the technical feasibility of SRR for high-resolution isotropic knee MRI. Our SRR results show superior image quality in terms of edge blurring, but lower image contrast and fluid brightness when compared with conventional 3D SPACE acquisitions. Further contrast optimization and shortening of the acquisition time with state-of-the-art acceleration techniques are necessary for future clinical validation of SRR knee MRI.
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Affiliation(s)
- Pieter Van Dyck
- From the Department of Radiology, Antwerp University Hospital and University of Antwerp, Edegem
| | | | - Floris Vanhevel
- From the Department of Radiology, Antwerp University Hospital and University of Antwerp, Edegem
| | - Eline De Smet
- From the Department of Radiology, Antwerp University Hospital and University of Antwerp, Edegem
| | - Ella Roelant
- Clinical Trial Center (CTC), CRC Antwerp, Antwerp University Hospital and University of Antwerp, Edegem
| | - Jan Sijbers
- imec-Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium
| | - Ben Jeurissen
- imec-Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium
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Del Grande F, Rashidi A, Luna R, Delcogliano M, Stern SE, Dalili D, Fritz J. Five-Minute Five-Sequence Knee MRI Using Combined Simultaneous Multislice and Parallel Imaging Acceleration: Comparison with 10-Minute Parallel Imaging Knee MRI. Radiology 2021; 299:635-646. [PMID: 33825510 DOI: 10.1148/radiol.2021203655] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Rapid knee MRI using combined simultaneous multislice (SMS) technique and parallel imaging (PI) acceleration can add value through reduced acquisition time but requires validation of clinical efficacy. Purpose To evaluate the performance of clinical fourfold SMS-PI-accelerated, 5-minute, five-sequence, multicontrast knee MRI protocols compared with standard twofold PI-accelerated, 10-minute knee MRI protocols. Materials and Methods Adults with painful knee conditions were prospectively enrolled from April 2018 to October 2019. Participants underwent fourfold SMS-PI-accelerated, 5-minute, turbo spin-echo (TSE) knee MRI and standard-of-care twofold PI-accelerated, 10-minute, TSE knee MRI at either 1.5 T or 3.0 T. Three radiologists independently evaluated the knee MRI studies for meniscal, tendinous, ligamentous, and osseocartilaginous injuries. Statistical analyses included k-based intermethod agreements and diagnostic performance testing. P < .05 was considered indicative of a statistically significant difference. Results A total of 252 adults were evaluated (mean age ± standard deviation, 47 years ± 17; 134 men). Among the participants, 104 (mean age, 42 years ± 18; 57 women) were in the 1.5-T arm and 148 (mean age, 46 years ± 17; 87 men) were in the 3.0-T arm. Twenty-nine participants (mean age, 38 years ± 12; 15 men) in the 1.5-T arm and 42 (mean age, 41 years ± 16; 24 men) in the 3.0-T arm underwent arthroscopy a mean of 45 days ± 31 and 45 days ± 22 after MRI, respectively. Intermethod agreements were good at 1.5 T (κ >0.71 [95% CI: 0.56, 0.83]) and very good at 3.0 T (κ >0.85 [95% CI: 0.69, 0.96]). The diagnostic performances of corresponding 5-minute and 10-minute MRI protocols were similar for 1.5 T, with areas under the receiver operating characteristic curve (AUCs) greater than 0.78 (95% CI: 0.71, 0.84) (P > .32), and 3.0 T, with AUCs greater than 0.83 (95% CI: 0.78, 0.88) (P > .32). Conclusion Comparisons of 5-minute five-sequence simultaneous multislice- and parallel imaging (PI)-accelerated and 10-minute five-sequence PI-accelerated turbo spin-echo MRI of the knee suggest similar performances at 1.5 and 3.0 T. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Subhas in this issue.
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Affiliation(s)
- Filippo Del Grande
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Ali Rashidi
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Rodrigo Luna
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Marco Delcogliano
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Steven E Stern
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Danoob Dalili
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.)
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Rapid Musculoskeletal MRI in 2021: Clinical Application of Advanced Accelerated Techniques. AJR Am J Roentgenol 2021; 216:718-733. [DOI: 10.2214/ajr.20.22902] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Endler CHJ, Faron A, Isaak A, Katemann C, Mesropyan N, Kupczyk PA, Pieper CC, Kuetting D, Hadizadeh DR, Attenberger UI, Luetkens JA. Fast 3D Isotropic Proton Density-Weighted Fat-Saturated MRI of the Knee at 1.5 T with Compressed Sensing: Comparison with Conventional Multiplanar 2D Sequences. ROFO-FORTSCHR RONTG 2021; 193:813-821. [PMID: 33535259 DOI: 10.1055/a-1337-3351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE Compressed sensing (CS) is a method to accelerate MRI acquisition by acquiring less data through undersampling of k-space. In this prospective study we aimed to evaluate whether a three-dimensional (3D) isotropic proton density-weighted fat saturated sequence (PDwFS) with CS can replace conventional multidirectional two-dimensional (2D) sequences at 1.5 Tesla. MATERIALS AND METHODS 20 patients (45.2 ± 20.2 years; 10 women) with suspected internal knee damage received a 3D PDwFS with CS acceleration factor 8 (acquisition time: 4:11 min) in addition to standard three-plane 2D PDwFS sequences (acquisition time: 4:05 min + 3:03 min + 4:46 min = 11:54 min) at 1.5 Tesla. Scores for homogeneity of fat saturation, image sharpness, and artifacts were rated by two board-certified radiologists on the basis of 5-point Likert scales. Based on these ratings, an overall image quality score was generated. Additionally, quantitative contrast ratios for the menisci (MEN), the anterior (ACL) and the posterior cruciate ligament (PCL) in comparison with the popliteus muscle were calculated. RESULTS The overall image quality was rated superior in 3D PDwFS compared to 2D PDwFS sequences (14.45 ± 0.83 vs. 12.85 ± 0.99; p < 0.01), particularly due to fewer artifacts (4.65 ± 0.67 vs. 3.65 ± 0.49; p < 0.01) and a more homogeneous fat saturation (4.95 ± 0.22 vs. 4.55 ± 0.51; p < 0.01). Scores for image sharpness were comparable (4.80 ± 0.41 vs. 4.65 ± 0.49; p = 0.30). Quantitative contrast ratios for all measured structures were superior in 3D PDwFS (MEN: p < 0.05; ACL: p = 0.06; PCL: p = 0.33). In one case a meniscal tear was only diagnosed using multiplanar reformation of 3D PDwFS, but it would have been missed on standard multiplanar 2D sequences. CONCLUSION An isotropic fat-saturated 3D PD sequence with CS enables fast and high-quality 3D imaging of the knee joint at 1.5 T and may replace conventional multiplanar 2D sequences. Besides faster image acquisition, the 3D sequence provides advantages in small structure imaging by multiplanar reformation. KEY POINTS · 3D PDwFS with compressed sensing enables knee imaging that is three times faster compared to multiplanar 2D sequences. · 3D PDwFS with compressed sensing provides high-quality knee imaging at 1.5 T. · Isotropic 3D sequences provide advantages in small structure imaging by using multiplanar reformations. CITATION FORMAT · Endler CH, Faron A, Isaak A et al. Fast 3D Isotropic Proton Density-Weighted Fat-Saturated MRI of the Knee at 1.5 T with Compressed Sensing: Comparison with Conventional Multiplanar 2D Sequences. Fortschr Röntgenstr 2021; 193: 813 - 821.
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Affiliation(s)
- Christoph H-J Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | | | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Patrick A Kupczyk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Dariusch R Hadizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
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[Diagnostic value of a 3D-SPACE-sequence with compressed sensing technology for the knee joint]. Radiologe 2020; 61:203-212. [PMID: 33346870 DOI: 10.1007/s00117-020-00788-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2020] [Indexed: 12/22/2022]
Abstract
BACKROUND SPACE (3D fast spin echo acquisition) sequences require long scan times for three-dimensional assessment of acute injury of the knee joint and are flawed due to geometric blurring. Their implementation into routine diagnostic imaging was not feasible until recently. OBJECTIVES By comparing conventional MRI (magnetic resonance imaging) sequences to 3D (three-dimensional) sequences, it was investigated whether the compressed sensing (CS) technique is inferior to the established 2D sequences with shorter examination times. MATERIALS AND METHODS A total of 109 patients (age range 18-50 years) with knee injury were examined by MRI between April 2017 and May 2018. The inter- and intraobserver concordance of two blinded readers were assessed. Consensus was achieved in case of discrepancies. Descriptive analyses of absolute and relative frequency and distribution were tested by Fisher's exact test concerning differences between CS-SPACE and standard proton density fat suppressed imaging. RESULTS Interoberserver concordance (IC) of conventional sequences before/after consensus amounted to 58.8/68.1% (medial meniscus, MM), 68.8/88.7% (lateral meniscus, LM) 88.9/97.2% (anterior cruciate ligament, ACL), 99/100% (posterior cruciate ligament, PCL), 88.9/97.2% (collateral ligament, CL) and chondral injury (CI) 1-2: 64.2%, CI-3: 77% and CI-4: 76%. The IC of CS-SPACE amounted before/after consensus of MM to 50.4/77%, LM 68.8/88%, ACL 89.9/94.5%, PCL 97.2/99.0%, CL 92.6/96.3%. IC of CI was evaluated without consensus and amounted to 65.1% (CI 1-2), 66% (CI 3) and 81.6% (CI 4). CONCLUSIONS Injuries of ACL, PCL and CL have excellent IC between 3D and 2D sequences. Excellent IC could be found in CI grade 3 and 4 when using 2D sequences and CI grade 4 utilizing CS-SPACE. Our results indicate that CS-SPACE is useful in diagnosing acute knee injuries.
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Banjar M, Nor FEM, Singh P, Horiuchi S, Quek ST, Yoshioka H. Comparison of visibility of ulnar sided triangular fibrocartilage complex (TFCC) ligaments between isotropic three-dimensional and two-dimensional high-resolution FSE MR images. Eur J Radiol 2020; 134:109418. [PMID: 33302025 DOI: 10.1016/j.ejrad.2020.109418] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 10/29/2020] [Accepted: 11/15/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Assessment of the ulnar attachment of the triangular fibrocartilage complex (TFCC) in a neutral forearm position remains challenging. Our study aims to evaluate the visibility of ulnar sided TFCC on 3 T MRI and compare isotropic 3D FSE sequences utilizing multiplanar reformation (MPR) with standard high-resolution 2D FSE sequences. METHODS Ninety-nine MRI wrist studies in patients with wrist pain were retrospectively analyzed. Patients were scanned with a neutral forearm position and reviewed with isotropic 3D coronal FSE proton density-weighted images (PDWI) and 2D coronal FSE PDWI. MPR was used for 3D assessment. Visibility of the dorsal radioulnar ligament (DRUL), triangular ligament (TL), and volar radioulnar ligament (VRUL) was assessed by three raters utilizing a five-point grading scale. Grades were compared between 2D and 3D sequences. Intrarater and interrater reliability for the delineation of anatomic structures was measured by Spearman's rank correlation coefficient, Cohen's kappa, and percentage of exact agreement/agreement within a range of ±1 score point. RESULTS Visibility grades in 3D were statistically significantly higher than those in 2D in all ligaments by all raters (p < 0.01). In Spearman's rank correlation coefficient and Cohen's kappa analysis, interrater correlations and agreements are variable but tended to be higher on 3D than on 2D. Both 2D and 3D sequences showed high intrarater exact agreement in all ligaments (80-91 % on 2D and 88-95 % on 3D). All exact interrater agreements on 3D were acceptable for TL (83-93 %) and acceptable to close to acceptable for VRUL (72-96 %). CONCLUSION The utilization of isotopic 3D imaging combined with MPR function significantly improves visibility of ulnar attachment of the TFCC.
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Affiliation(s)
- Mai Banjar
- Department of Diagnostic Imaging, National University Hospital, Singapore; Medical Imaging Department, King Abdullah Medical Complex Jeddah, Saudi Arabia.
| | | | - Pavel Singh
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Saya Horiuchi
- Department of Radiology, St Luke's International Hospital, Tokyo, Japan
| | - Swee Tian Quek
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Hiroshi Yoshioka
- Department of Radiological Sciences, University of California, Irvine, CA, USA
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Luna R, Fritz J, Del Grande F, Ahlawat S, Fayad LM. Determination of skeletal tumor extent: is an isotropic T1-weighted 3D sequence adequate? Eur Radiol 2020; 31:3138-3146. [PMID: 33179165 DOI: 10.1007/s00330-020-07394-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/08/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To test the hypothesis that an accelerated, T1-weighted 3D CAIPIRINHA SPACE sequence with isotropic voxel size offers a similar performance to conventional T1-weighted 2D TSE (turbo spin echo) for the evaluation of bone tumor extent and characteristics. METHODS Thirty-four patients who underwent 3-T MRI with 3DT1 (CAIPIRINHA SPACE TSE) and 2DT1 (TSE) were included. Sequence acquisition time was reported. Two radiologists independently evaluated each technique for tumor location, size/length, tumor-to-joint distance, signal intensity, margin/extraosseous extension, and signal-to-noise (SNR) and contrast-to-noise (CNR) ratios. RESULTS Tumors were located in long (20/36, 55.5%) and pelvic (16/36, 44.4%) bones. 3DT1 sequence required an average acquisition time of 235 s (± 42 s, range 156-372), while two plane 2DT1 sequences combined (coronal and axial) had an average acquisition time of 381 s (± 73 s, range 312-523). There was no difference in the measurements of tumor length and tumor-to-joint distance (p = 0.95) between 3DT1 and 2DT1 images. Tumors were hypointense (17/36, 47.2% vs 17/36, 47.2%), isointense (12/36, 33.3% vs 12/36, 33.3%), or hyperintense (7/36, 19.4% vs 7/36, 19.4%) on 3DT1 vs 2DT1, respectively. Assessment of tumor margins and extraosseous extension was similar, and there was no difference in tumor SNR or CNR (p > 0.05). CONCLUSIONS An accelerated 3D CAIPIRINHA SPACE T1 sequence provides comparable assessments of intramedullary bone tumor extent and similar tumor characteristics to conventional 2DT1 MRI. For the assessment of bone tumors, the isotropic volume acquisition and multiplanar reformation capability of the 3DT1 datasets can obviate the need for 2DT1 acquisitions in multiple planes. KEY POINTS • 3DT1 offers an equivalent performance to 2DT1 for the assessment of bone tumor characteristics, with faster and higher resolution capability, obviating the need for acquiring 2DT1 in multiple planes. • There was no difference in the measurements of tumor length and tumor-to-joint distance obtained on 3DT1 and 2DT1 images. • There was no difference in signal-to-noise ratio (SNR) or contrast-to-noise ratio (CNR) measures between 3DT1 and 2DT1.
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Affiliation(s)
- Rodrigo Luna
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Jan Fritz
- Grossman School of Medicine, NYU Langone Health, 550 First Avenue, New York, NY, 10016, USA
| | - Filippo Del Grande
- Servizio si Radiologia del Sottoceneri, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland
| | - Shivani Ahlawat
- Division of Musculoskeletal Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Laura M Fayad
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.
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Chaudhari AS, Kogan F, Pedoia V, Majumdar S, Gold GE, Hargreaves BA. Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis. J Magn Reson Imaging 2020; 52:1321-1339. [PMID: 31755191 PMCID: PMC7925938 DOI: 10.1002/jmri.26991] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 10/22/2019] [Accepted: 10/22/2019] [Indexed: 12/16/2022] Open
Abstract
Osteoarthritis (OA) of the knee is a major source of disability that has no known treatment or cure. Morphological and compositional MRI is commonly used for assessing the bone and soft tissues in the knee to enhance the understanding of OA pathophysiology. However, it is challenging to extend these imaging methods and their subsequent analysis techniques to study large population cohorts due to slow and inefficient imaging acquisition and postprocessing tools. This can create a bottleneck in assessing early OA changes and evaluating the responses of novel therapeutics. The purpose of this review article is to highlight recent developments in tools for enhancing the efficiency of knee MRI methods useful to study OA. Advances in efficient MRI data acquisition and reconstruction tools for morphological and compositional imaging, efficient automated image analysis tools, and hardware improvements to further drive efficient imaging are discussed in this review. For each topic, we discuss the current challenges as well as potential future opportunities to alleviate these challenges. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
| | - Feliks Kogan
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Valentina Pedoia
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Center of Digital Health Innovation (CDHI), University of California San Francisco, San Francisco, California, USA
| | - Sharmila Majumdar
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Center of Digital Health Innovation (CDHI), University of California San Francisco, San Francisco, California, USA
| | - Garry E. Gold
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Brian A. Hargreaves
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
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Kong C, Li XY, Sun SY, Sun XY, Zhang M, Sun Z, Wang Y, Lu J, Lu SB. The value of contrast-enhanced three-dimensional isotropic T2-weighted turbo spin-echo SPACE sequence in the diagnosis of patients with lumbosacral nerve root compression. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2020; 30:855-864. [PMID: 32936403 DOI: 10.1007/s00586-020-06600-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/18/2020] [Accepted: 09/05/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE To investigate the diagnostic value of contrast-enhanced three-dimensional (3D) T2-weighted turbo spin-echo SPACE (T2-SPACE) sequence in LNRC. METHODS A total of 90 surgically confirmed LNRC patients with 165 explored nerve roots were enrolled in this study. Diagnostic values were quantified using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. The consistency between 2D MRI and 3D T2-SPACE MRI was quantified using kappa test. The compression of specific branch in nerve root was evaluated on 2D MRI, 3D T2-SPACE MRI, and surgical findings. The pedicle height, vertebral body height (VH), proximal tilting angle of nerve root (PTA) were measured on MR images. RESULTS The sensitivity, specificity, PPV, NPV, and accuracy by 2D MRI were 78.3%, 72.7%, 94.9%, 34.0%, and 77.6%, respectively. For 3D T2-SPACE MRI imaging, the sensitivity, specificity, PPV, NPV, and accuracy were 91.6%, 86.4%, 97.8%, 61.3%, and 90.9%, respectively. 2D MRI and 3D T2-SPACE MRI for detection of intra-foramen and extra-foramen nerve compression showed poor homogeneity (Kappa = 0.333, Kappa = 0.276, respectively). Smaller VHs and larger PTAs could be indicators for the diagnosis of foraminal nerve root compression. CONCLUSIONS 3D T2-SPACE MRI had a higher sensitivity, specificity, PPV, NPV, and accuracy than 2D MRI for detecting LNRC. The 3D T2-SPACE scan could be a good substitute to routine 2D MRI in LNRC diagnosis, especially for foraminal nerve root compression patients. LEVEL OF EVIDENCE III.
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Affiliation(s)
- Chao Kong
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 10053, China
| | - Xiang-Yu Li
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 10053, China
| | - Si-Yuan Sun
- Department of Interdisciplinary Life Science, Purdue University, West Lafayette, IN, 47907, USA
| | - Xiang-Yao Sun
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 10053, China
| | - Miao Zhang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
| | - Zheng Sun
- Department of Radiology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
| | - Yu Wang
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 10053, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China.
| | - Shi-Bao Lu
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 10053, China.
- National Clinical Research Center for Geriatric Diseases, Beijing, 10053, China.
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Laverdiere C, Schupbach D, Schupbach J, Harvey E, Boily M, Burman M, Martineau PA. Can Surgeons Identify ACL Femoral Ridges Landmark and Optimal Tunnel Position? A 3D Model Study. Arthrosc Sports Med Rehabil 2020; 2:e361-e368. [PMID: 32875301 PMCID: PMC7451917 DOI: 10.1016/j.asmr.2020.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 05/13/2020] [Indexed: 11/22/2022] Open
Abstract
Purpose To examine the ability of surgeons to identify the osseous landmarks associated with the femoral anterior cruciate ligament (ACL) footprint and locate optimal tunnel placement on 3-dimensional (3D) printed models compared with intraoperative placement. Methods Twelve sports fellowship-trained orthopaedic surgeons were asked to identify a femoral landmark and an ACL footprint on 10 different 3D printed knees. The 3D models were made based on 20 real patients with different anatomical morphology who later received ACL reconstructive surgery using independent drilling. ImageJ software was used to quantify the measurements, which were then analyzed using descriptive statistics. Results Overall, none of the surgeons were able to consistently identify the junction of the bony ridges. The mean error per participant ranged from 2.81 to 7.34 mm in the proximal direction (P = 3.30e-05) and from 2.42 to 8.05 mm in the posterior direction (P =4.88e-12). None of the surgeons were able to appropriately identify the center of the femoral footprint on the anatomic 3D models. The difference between the center of the footprint surgeons identified on the 3D model and the tunnel graft location in surgery was significantly different (P = .0046). On average, the magnitude of the error when the surgeons performed the actual surgery was 3.72 ± 2.43 mm, whereas on the 3D models it was 5.82 ± 1.97 mm. Conclusions Experienced sports fellowship-trained orthopaedic surgeons were unable to correctly identify the junction of the intercondylar and bifurcate ridges and the native ACL footprint on 3D models. Operatively placed tunnels were more accurate implying that looking either through a scope or soft-tissue landmarks play a significant role in surgeons ACL footprint localization. Clinical Relevance The graft position for ACL reconstruction plays an important role on the kinematics of the knee. This paper shows that soft tissue landmarks are needed to provide reliable reference points for reconstruction.
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Affiliation(s)
- Carl Laverdiere
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Drew Schupbach
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Justin Schupbach
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Eric Harvey
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Mathieu Boily
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Mark Burman
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
| | - Paul A Martineau
- Department of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada
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Lee S, Lee GY, Kim S, Park YB, Lee HJ. Clinical utility of fat-suppressed 3-dimensional controlled aliasing in parallel imaging results in higher acceleration sampling perfection with application optimized contrast using different flip angle evolutions MRI of the knee in adults. Br J Radiol 2020; 93:20190725. [PMID: 32516546 PMCID: PMC7446023 DOI: 10.1259/bjr.20190725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 06/03/2020] [Accepted: 06/03/2020] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To compare htree-dimensional CAIPIRINHA SPACE and two-dimensional turbo spin echo (2D TSE) MRI in the diagnosis of knee pathology in symptomatic adult patients. METHODS From February to September in 2018, 120 patients who underwent a knee MRI using both 3D CAIPIRINHA SPACE and 2D TSE MRI were enrolled. The signal-to-noise ratios (SNRs) and contrast-to-noise ratio (CNR) of the 2D and 3D MRI were compared using a paired t-test. Two radiologists independently evaluated both 2D and 3D MRI images using scoring systems for the menisci, ligaments, and cartilage. Intermethod, inter- and intrareader agreements were determined using an intraclass correlation coefficient (ICC). The diagnostic performance of both methods was measured in 44 patients with arthroscopy. RESULTS The mean scan time of 3D CAIPIRINHA SPACE MRI (4' 43") was shorter than that of 2D TSE MRI (17' 27"). The mean SNR and CNR of 3D CAIPIRINHA SPACE was higher than those of 2D TSE MRI (mean difference, 3.97 of SNR and 1.58 of CNR; p < 0.001 and p = .038, respectively). Intermethod (ICC, 0.84-1.0) and inter-reader (ICC, 0.75-0.97), and intra-reader agreements (ICC, 0.87-1.0) were good or excellent. The diagnostic accuracy of 3D CAIPIRINHA SPACE sequence was equal for ligament (95.5%) and better for meniscal and cartilage evaluation (84.1% each), compared to 2D TSE MRI (79.5% each). CONCLUSION The fat-suppressed 3D CAIPIRINHA SPACE MRI maybe useful in clinical practice for the evaluation of the knee in place of the 2D conventional MRI protocol. ADVANCES IN KNOWLEDGE 1. The 3D CAIPIRINHA SPACE MRI of the knee joint may be acceptable to be used in clinical practice showing comparable imaging quality compared to conventional 2D TSE MRI.2. Compared with arthroscopic findings as the gold-standard, the diagnostic performance of 3D CAIPIRINHA SPACE MRI was equal or better for knee joint evaluation than that of 2D TSE MRI, as well as with shorter scan time.
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Affiliation(s)
- Seungho Lee
- Department of the Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Guen Young Lee
- Department of the Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Sujin Kim
- Department of the Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Yong-Beom Park
- Department of the orthopedic Surgery, Chung-Ang University Hospital, Seoul, Korea
| | - Han-Jun Lee
- Department of the orthopedic Surgery, Chung-Ang University Hospital, Seoul, Korea
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Shah J, Hlis R, Ashikyan O, Cai A, Planchard K, McCrum C, Xi Y, Chhabra A. Correlation of meniscus tears on MRI and arthroscopy using the ISAKOS classification provides satisfactory intermethod and inter-rater reliability. J ISAKOS 2020. [DOI: 10.1136/jisakos-2019-000408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Bae KJ, Jang HS, Gong HS, Kang Y, Kim J, Baek GH. Prevalence and distribution of MRI abnormalities in the articular cartilage and supporting ligaments in patients with early clinical stage first carpometacarpal joint osteoarthritis. Skeletal Radiol 2020; 49:1089-1097. [PMID: 32008110 DOI: 10.1007/s00256-020-03383-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE We used magnetic resonance imaging (MRI) to evaluate where articular degeneration begins and which ligaments are most often involved in the early clinical stage first carpometacarpal joint (CMCJ-1) osteoarthritis. MATERIALS AND METHODS We retrospectively analyzed the MRI findings of 26 patients with early clinical stage CMCJ-1 osteoarthritis and no radiologic abnormalities and 19 control patients without CMCJ-1 pain or osteoarthritis who underwent MRI for dorsal or ulnar wrist pain. Two observers blinded to group and clinical findings independently assessed the presence of chondral defects in four quadrants of the CMCJ-1: volar-ulnar (VU), volar-radial (VR), dorso-ulnar (DU), and dorso-radial (DR). The integrity of the four major ligaments of the CMCJ-1, i.e., the anterior oblique ligament (AOL), the intermetacarpal ligament (IML), the posterior oblique ligament (POL), and the dorsal radial ligament (DRL), was assessed. The observer reliability was analyzed using Cohen's kappa coefficient. The prevalence of cartilage lesions and ligament abnormalities in the osteoarthritic and control patients was compared using Fisher's exact test. RESULTS Cartilage lesions were significantly more common in the VU quadrant of the trapezium in the osteoarthritic patients than in the control patients (17/26 vs. 2/19; P = 0.002). AOL abnormalities were more common in the osteoarthritic patients than in the control patients (14/26 vs. 3/19; P = 0.009). CONCLUSION The MRI findings of early clinical stage CMCJ-1 osteoarthritis commonly demonstrated cartilage lesions in the VU quadrant of the trapezium and ligament abnormalities in the AOL.
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Affiliation(s)
- Kee Jeong Bae
- Department of Orthopedic Surgery, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Hyo Seok Jang
- Department of Orthopedic Surgery, Inje University Haeundae Paik Hospital, Busan, South Korea
| | - Hyun Sik Gong
- Department of Orthopedic Surgery, Seoul National University Bundang Hospital, 300 Gumi-dong, Bundang-gu, Seongnam, Gyeonggi-do, 463-707, South Korea.
| | - Yusuhn Kang
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jihyeung Kim
- Department of Orthopedic Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Goo Hyun Baek
- Department of Orthopedic Surgery, Seoul National University Hospital, Seoul, South Korea
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Laverdiere C, Harvey E, Schupbach J, Boily M, Burman M, Martineau PA. Effect of Teaching Session on Resident Ability to Identify Anatomic Landmarks and Anterior Cruciate Ligament Footprint: A Study Using 3-Dimensional Modeling. Orthop J Sports Med 2020; 8:2325967120905795. [PMID: 32201706 PMCID: PMC7068746 DOI: 10.1177/2325967120905795] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 11/01/2019] [Indexed: 01/22/2023] Open
Abstract
Background: Femoral tunnel positioning in anterior cruciate ligament reconstruction
(ACLR) is an intricate procedure that requires highly specific surgical
skills. Purpose: To report the ability of residents to identify femoral landmarks and the
native ACL footprint before and after a structured formal teaching session
as a reflection of overall surgical skill training for orthopaedic surgery
residents in Canada. Study Design: Controlled laboratory study. Methods: A total of 13 senior orthopaedic residents were asked to identify a femoral
landmark and an ACL footprint on ten 3-dimensional (3D)–printed knee models
before and after a teaching session during the fall of 2018. The 3D models
were made based on actual patients with different anatomic morphologic
features. ImageJ software was used to quantify the measurements, which were
then analyzed through use of descriptive statistics. Results: Before and after the teaching session, residents attempted to identify a
specific anatomic location (bifurcate and intercondylar ridge intersection)
with a mean error per participant ranging from 5.00 to 10.95 mm and 4.79 to
12.13 mm in magnitude, respectively. Furthermore, before and after the
teaching session, residents identified the specific position to perform the
surgical procedure (ACL femoral footprint), with a mean error per
participant ranging from 4.58 to 8.80 mm and 3.87 to 11.07 mm in magnitude,
respectively. The teaching session resulted in no significant improvement in
identification of either the intersection of the bifurcate and intercondylar
ridges (P = .9343 in the proximal-distal axis and
P = .8133 in the anteroposterior axis) or the center of
the femoral footprint (P = .7761 in the proximal-distal
axis and P = .9742 in the anteroposterior axis). Conclusion: Although a formal teaching session was combined with a hands-on session that
entailed real surgical instrumentation and fresh cadaveric specimens, the
intervention seemed to have no direct impact on senior residents’
performance or their ability to demonstrate the material taught. This puts
into question the format and efficacy of present teaching methods. Also, it
is possible that the 3D spatial perception required to perform these skills
is not something that can be taught effectively through a teaching session
or at all. Further investigation is required regarding the effectiveness and
application of surgical skill laboratories and simulations on the
competencies of orthopaedic residents.
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Affiliation(s)
- Carl Laverdiere
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
| | - Eric Harvey
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
| | - Justin Schupbach
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
| | - Mathieu Boily
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
| | - Mark Burman
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
| | - Paul A Martineau
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Quebec, Canada
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Gersing AS, Bodden J, Neumann J, Diefenbach MN, Kronthaler S, Pfeiffer D, Knebel C, Baum T, Schwaiger BJ, Hock A, Rummeny EJ, Woertler K, Karampinos DC. Accelerating anatomical 2D turbo spin echo imaging of the ankle using compressed sensing. Eur J Radiol 2019; 118:277-284. [DOI: 10.1016/j.ejrad.2019.06.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 05/11/2019] [Accepted: 06/10/2019] [Indexed: 11/27/2022]
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Abstract
The posteromedial corner of the knee is increasingly being recognized in orthopedic surgery, traumatology and musculoskeletal radiology. The medial collateral ligament consists of a superficial part and a deep part. The posteromedial corner consists of the posterior oblique ligament (POL), the oblique popliteal ligament (OPL), the semimembranosus tendon and its arms, the posteromedial joint capsule and the posterior horn of the medial meniscus. The structures provide stability to the knee joint with respect to valgus stress, rotational stability as well as with respect to anterior and posterior translation. Injuries are frequently associated with other severe injuries of the knee. This underlines the importance of recognizing the structures and their injuries on magnetic resonance imaging (MRI), in order to enable adequate therapy.
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Affiliation(s)
- P M Jungmann
- Klinik für Radiologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland. .,Klinik für Neuroradiologie, Universitätsspital Zürich, Frauenklinikstr. 10, 8091, Zürich, Schweiz.
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Keerthivasan MB, Saranathan M, Johnson K, Fu Z, Weinkauf CC, Martin DR, Bilgin A, Altbach MI. An efficient 3D stack-of-stars turbo spin echo pulse sequence for simultaneous T2-weighted imaging and T2 mapping. Magn Reson Med 2019; 82:326-341. [PMID: 30883879 DOI: 10.1002/mrm.27737] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Revised: 02/01/2019] [Accepted: 02/21/2019] [Indexed: 01/16/2023]
Abstract
PURPOSE To design a pulse sequence for efficient 3D T2-weighted imaging and T2 mapping. METHODS A stack-of-stars turbo spin echo pulse sequence with variable refocusing flip angles and a flexible pseudorandom view ordering is proposed for simultaneous T2-weighted imaging and T2 mapping. An analytical framework is introduced for the selection of refocusing flip angles to maximize relative tissue contrast while minimizing T2 estimation errors and maintaining low specific absorption rate. Images at different echo times are generated using a subspace constrained iterative reconstruction algorithm. T2 maps are obtained by modeling the signal evolution using the extended phase graph model. The technique is evaluated using phantoms and demonstrated in vivo for brain, knee, and carotid imaging. RESULTS Numerical simulations demonstrate an improved point spread function with the proposed pseudorandom view ordering compared to golden angle view ordering. Phantom experiments show that T2 values estimated from the stack-of-stars turbo spin echo pulse sequence with variable refocusing flip angles have good concordance with spin echo reference values. In vivo results show the proposed pulse sequence can generate qualitatively comparable T2-weighted images as conventional Cartesian 3D SPACE in addition to simultaneously generating 3D T2 maps. CONCLUSION The proposed stack-of-stars turbo spin echo pulse sequence with pseudorandom view ordering and variable refocusing flip angles allows high resolution isotropic T2 mapping in clinically acceptable scan times. The optimization framework for the selection of refocusing flip angles improves T2 estimation accuracy while generating T2-weighted contrast comparable to conventional Cartesian imaging.
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Affiliation(s)
- Mahesh Bharath Keerthivasan
- Medical Imaging, University of Arizona, Tucson, Arizona.,Electrical and Computer Engineering, University of Arizona, Tucson, Arizona
| | - Manojkumar Saranathan
- Medical Imaging, University of Arizona, Tucson, Arizona.,Electrical and Computer Engineering, University of Arizona, Tucson, Arizona.,Biomedical Engineering, University of Arizona, Tucson, Arizona
| | - Kevin Johnson
- Medical Imaging, University of Arizona, Tucson, Arizona
| | - Zhiyang Fu
- Medical Imaging, University of Arizona, Tucson, Arizona.,Electrical and Computer Engineering, University of Arizona, Tucson, Arizona
| | | | | | - Ali Bilgin
- Medical Imaging, University of Arizona, Tucson, Arizona.,Electrical and Computer Engineering, University of Arizona, Tucson, Arizona.,Biomedical Engineering, University of Arizona, Tucson, Arizona
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Chaudhari AS, Stevens KJ, Sveinsson B, Wood JP, Beaulieu CF, Oei EH, Rosenberg JK, Kogan F, Alley MT, Gold GE, Hargreaves BA. Combined 5-minute double-echo in steady-state with separated echoes and 2-minute proton-density-weighted 2D FSE sequence for comprehensive whole-joint knee MRI assessment. J Magn Reson Imaging 2019; 49:e183-e194. [PMID: 30582251 PMCID: PMC7850298 DOI: 10.1002/jmri.26582] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 11/01/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Clinical knee MRI protocols require upwards of 15 minutes of scan time. PURPOSE/HYPOTHESIS To compare the imaging appearance of knee abnormalities depicted with a 5-minute 3D double-echo in steady-state (DESS) sequence with separate echo images, with that of a routine clinical knee MRI protocol. A secondary goal was to compare the imaging appearance of knee abnormalities depicted with 5-minute DESS paired with a 2-minute coronal proton-density fat-saturated (PDFS) sequence. STUDY TYPE Prospective. SUBJECTS Thirty-six consecutive patients (19 male) referred for a routine knee MRI. FIELD STRENGTH/SEQUENCES DESS and PDFS at 3T. ASSESSMENT Five musculoskeletal radiologists evaluated all images for the presence of internal knee derangement using DESS, DESS+PDFS, and the conventional imaging protocol, and their associated diagnostic confidence of the reading. STATISTICAL TESTS Differences in positive and negative percent agreement (PPA and NPA, respectively) and 95% confidence intervals (CIs) for DESS and DESS+PDFS compared with the conventional protocol were calculated and tested using exact McNemar tests. The percentage of observations where DESS or DESS+PDFS had equivalent confidence ratings to DESS+Conv were tested with exact symmetry tests. Interreader agreement was calculated using Krippendorff's alpha. RESULTS DESS had a PPA of 90% (88-92% CI) and NPA of 99% (99-99% CI). DESS+PDFS had increased PPA of 99% (95-99% CI) and NPA of 100% (99-100% CI) compared with DESS (both P < 0.001). DESS had equivalent diagnostic confidence to DESS+Conv in 94% of findings, whereas DESS+PDFS had equivalent diagnostic confidence in 99% of findings (both P < 0.001). All readers had moderate concordance for all three protocols (Krippendorff's alpha 47-48%). DATA CONCLUSION Both 1) 5-minute 3D-DESS with separated echoes and 2) 5-minute 3D-DESS paired with a 2-minute coronal PDFS sequence depicted knee abnormalities similarly to a routine clinical knee MRI protocol, which may be a promising technique for abbreviated knee MRI. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Akshay S. Chaudhari
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Kathryn J. Stevens
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
| | - Bragi Sveinsson
- Department of Radiology, Stanford University, Stanford, California, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Jeff P. Wood
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Christopher F. Beaulieu
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
| | - Edwin H.G. Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | - Feliks Kogan
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Marcus T. Alley
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Garry E. Gold
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
| | - Brian A. Hargreaves
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
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The International Society of Arthroscopy, Knee Surgery and Orthopaedic Sports Medicine classification of knee meniscus tears: three-dimensional MRI and arthroscopy correlation. Eur Radiol 2019; 29:6372-6384. [PMID: 31115621 DOI: 10.1007/s00330-019-06220-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 03/20/2019] [Accepted: 04/03/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES To introduce MRI-based International Society of Arthroscopy, Knee Surgery and Orthopaedic Sports Medicine (ISAKOS) classification system of meniscal tears and correlate it to the surgical findings from arthroscopy. We hypothesized that the ISAKOS classification will provide good inter-modality and inter-rater reliability for use in the routine clinical practice of radiologists and orthopedic surgeons. METHODS In this HIPAA-compliant cross-sectional study, there were 44 meniscus tears in 39 patients (26 males, 16 females). Consecutive arthroscopy-proven meniscal tears (March 2017 to December 2017) were evaluated by two board-certified musculoskeletal radiologists using isotropic three-dimensional (3D) MRI user-defined reconstructions. The surgically validated ISAKOS classification of meniscal tears was used to describe medial meniscus (MM) and lateral meniscus (LM) tears. Prevalence-adjusted bias-adjusted kappa (PABAK) and conventional kappa, and paired t test and intra-class correlation coefficient (ICC) were calculated for categorical and numerical variables, respectively. RESULTS For the MM, the PABAK for location, depth, length (ICC), pattern, quality of meniscus tissue, and zone was 0.7-1, 0.65, 0.57, 0.67, 0.78, and 0.39-0.7, respectively. For the LM, the PABAK for location, depth, length (ICC), pattern, quality of meniscus tissue, zone, and central to popliteus hiatus was 0.57-0.95, 0.57, 0.74, 0.93, 0.38, 0.52-0.67, and 0.48, respectively. The mean tear lengths were larger on MRI than on arthroscopy (mean difference MM 9.74 mm (6.66 mm, 12.81 mm; p < 0.001), mean difference LM 4.04 mm (0.31 mm, 7.76 mm; p = 0.034)). CONCLUSIONS The ISAKOS classification of meniscal tears on 3D MRI provides mostly moderate agreement, which was similar to the agreement at arthroscopy. KEY POINTS • There is a fair to good inter-method correlation in most categories of ISAKOS meniscus tear classification. • The tear lengths are significantly larger on MRI than on arthroscopy. • The inter-reader correlation on 3D MRI is moderate to excellent, with the exception of lateral meniscus tear patterns.
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50
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Shakoor D, Guermazi A, Kijowski R, Fritz J, Roemer FW, Jalali‐Farahani S, Demehri S. Cruciate ligament injuries of the knee: A meta‐analysis of the diagnostic performance of 3D MRI. J Magn Reson Imaging 2019; 50:1545-1560. [DOI: 10.1002/jmri.26713] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 02/25/2019] [Accepted: 02/25/2019] [Indexed: 11/12/2022] Open
Affiliation(s)
- Delaram Shakoor
- Russell H. Morgan Department of Radiology and Radiological SciencesJohns Hopkins University Baltimore Maryland USA
| | - Ali Guermazi
- Quantitative Imaging Center, Department of RadiologyBoston University School of Medicine Boston Massachusetts USA
| | - Richard Kijowski
- Department of RadiologyUniversity of Wisconsin, Clinical Science Center Madison Wisconsin USA
| | - Jan Fritz
- Russell H. Morgan Department of Radiology and Radiological SciencesJohns Hopkins University Baltimore Maryland USA
| | - Frank W. Roemer
- Quantitative Imaging Center, Department of RadiologyBoston University School of Medicine Boston Massachusetts USA
- Department of RadiologyUniversity of Erlangen‐Nuremberg Erlangen Germany
| | - Sahar Jalali‐Farahani
- Russell H. Morgan Department of Radiology and Radiological SciencesJohns Hopkins University Baltimore Maryland USA
| | - Shadpour Demehri
- Russell H. Morgan Department of Radiology and Radiological SciencesJohns Hopkins University Baltimore Maryland USA
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