1
|
Dai M, Zhao H, Sun P, Wang J, Kong C, Liu X, Duan D, Liu X. Chronic ankle instability: a cadaveric anatomical and 3D high-resolution MRI study for surgical reconstruction procedures. Insights Imaging 2024; 15:249. [PMID: 39400621 PMCID: PMC11479647 DOI: 10.1186/s13244-024-01824-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 09/15/2024] [Indexed: 10/15/2024] Open
Abstract
OBJECTIVES To quantitatively investigate the anatomy of the anterior talofibular ligament (ATFL) and calcaneofibular ligament (CFL) for surgical reconstruction procedures in chronic ankle instability (CAI). METHODS 3D MRI was performed on five fresh-frozen cadaveric ankles using six different spatial resolutions (0.3 × 0.3 × 0.3 mm3, 0.45 × 0.45 × 0.45 mm3, 0.6 × 0.6 × 0.6 mm3, 0.75 × 0.75 × 0.75 mm3, 0.9 × 0.9 × 0.9 mm3, 1.05 × 1.05 × 1.05 mm3). After comparing the MRI results with cadaver dissection, a resolution of 0.45 × 0.45 × 0.45 mm³ was selected for bilateral ankles MRI on 24 volunteers. Classification of the ATFL and four distances of surgically relevant bony landmarkers were analyzed (distance 1 and 3, the fibular origin of the ATFL and CFL to the tip of fibula, respectively; distance 2, the talar insertion of the ATFL to the bare zone of talus; distance 4, the calcaneal insertion of the CFL to the peroneal tubercle). RESULTS In subjective evaluation, the interobserver ICC was 0.95 (95% confidence interval (CI): 0.94-0.97) between two readers. The spatial resolution of 0.3 × 0.3 × 0.3 mm3 and 0.45 × 0.45 × 0.45 mm3 received highest subjective score on average and demonstrated highest consistency with autopsy measurements in objective evaluation. Measurements on the 48 volunteer ankles, distance 1 in type I and II were 12.65 ± 2.08 mm, 13.43 ± 2.06 mm (superior-banded in Type II) and 7.69 ± 2.56 mm (inferior-banded in Type II) (means ± SD), respectively. Distance 2 in type I and II were 10.90 ± 2.24 mm, 11.07 ± 2.66 mm (superior-banded in Type II), and 18.44 ± 3.28 mm (inferior-banded in Type II), respectively. Distance 3 and 4 were 4.71 ± 1.04 mm and 14.35 ± 2.22 mm, respectively. CONCLUSION We demonstrated the feasibility of quantifying the distances between bony landmarkers for surgical reconstruction surgery in CAI using high-resolution 3D MRI. CRITICAL RELEVANCE STATEMENT High-resolution 3D MRI examination may have a guiding effect on the preoperative evaluation of chronic ankle instability patients. KEY POINTS Spatial resolutions of 0.3 × 0.3 × 0.3 mm3 and 0.45 × 0.45 × 0.45 mm3 demonstrated highest consistency with autopsy measurements. The spatial resolution of 0.45 × 0.45 × 0.45 mm3 was conformed more to clinical needs. 3D MRI can assist surgeons in developing preoperative plans for chronic ankle instability.
Collapse
Affiliation(s)
- Meng Dai
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Hu Zhao
- Department of Human Anatomy, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- National Demonstration Center for Experimental Basic Medical Education, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Peng Sun
- MSC Clinical & Technical Solutions, Philips Healthcare, 100000, Beijing, China
| | - Jiazheng Wang
- MSC Clinical & Technical Solutions, Philips Healthcare, 100000, Beijing, China
| | - Caixia Kong
- Department of Endocrinology, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Deyu Duan
- Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Xi Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
- Hubei Province Key Laboratory of Molecular Imaging, 430022, Wuhan, China.
| |
Collapse
|
2
|
Kulseng CPS, Nainamalai V, Grøvik E, Geitung JT, Årøen A, Gjesdal KI. Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol. BMC Musculoskelet Disord 2023; 24:41. [PMID: 36650496 PMCID: PMC9847207 DOI: 10.1186/s12891-023-06153-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 01/10/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. METHODS The sample selection involved 40 healthy right knee volumes from adult participants. Further, a recently injured single left knee with previous known ACL reconstruction was included as a test subject. The MR protocol consisted of the following 3D pulse sequences: T1 TSE, PD TSE, PD FS TSE, and Angio GE. The DenseVNet neural network was considered for these experiments. Five input combinations of sequences (i) T1, (ii) T1 and FS, (iii) PD and FS, (iv) T1, PD, and FS and (v) T1, PD, FS and Angio were trained using the deep learning algorithm. The Dice similarity coefficient (DSC), Jaccard index and Hausdorff were used to compare the performance of the networks. RESULTS Combining all sequences collectively performed significantly better than other alternatives. The following DSCs (±standard deviation) were obtained for the test dataset: Bone medulla 0.997 (±0.002), PCL 0.973 (±0.015), ACL 0.964 (±0.022), muscle 0.998 (±0.001), cartilage 0.966 (±0.018), bone cortex 0.980 (±0.010), arteries 0.943 (±0.038), collateral ligaments 0.919 (± 0.069), tendons 0.982 (±0.005), meniscus 0.955 (±0.032), adipose tissue 0.998 (±0.001), veins 0.980 (±0.010) and nerves 0.921 (±0.071). The deep learning network correctly identified the anterior cruciate ligament (ACL) tear of the left knee, thus indicating a future aid to orthopaedics. CONCLUSIONS The convolutional neural network proves highly capable of correctly labeling all anatomical structures of the knee joint when applied to 3D MR sequences. We have demonstrated that this deep learning model is capable of automatized segmentation that may give 3D models and discover pathology. Both useful for a preoperative evaluation.
Collapse
Affiliation(s)
| | - Varatharajan Nainamalai
- grid.5947.f0000 0001 1516 2393Norwegian University of Science and Technology, Larsgaardvegen 2, Ålesund, 6025 Norway
| | - Endre Grøvik
- grid.5947.f0000 0001 1516 2393Norwegian University of Science and Technology, Høgskoleringen 5, Trondheim, 7491 Norway ,Møre og Romsdal Hospital Trust, Postboks 1600, Ålesund, 6025 Norway
| | - Jonn-Terje Geitung
- Sunnmøre MR-klinikk, Langelandsvegen 15, Ålesund, 6010 Norway ,grid.5510.10000 0004 1936 8921Faculty of Medicine, University of Oslo, Klaus Torgårds vei 3, Oslo, 0372 Norway ,grid.411279.80000 0000 9637 455XDepartment of Radiology, Akershus University Hospital, Postboks 1000, Lørenskog, 1478 Norway
| | - Asbjørn Årøen
- grid.411279.80000 0000 9637 455XDepartment of Orthopedic Surgery, Institute of Clinical Medicine, Akershus University Hospital, Problemveien 7, Oslo, 0315 Norway ,grid.412285.80000 0000 8567 2092Oslo Sports Trauma Research Center, Norwegian School of Sport Sciences, Postboks 4014 Ullevål Stadion, Oslo, 0806 Norway
| | - Kjell-Inge Gjesdal
- Sunnmøre MR-klinikk, Langelandsvegen 15, Ålesund, 6010 Norway ,grid.5947.f0000 0001 1516 2393Norwegian University of Science and Technology, Larsgaardvegen 2, Ålesund, 6025 Norway ,grid.411279.80000 0000 9637 455XDepartment of Radiology, Akershus University Hospital, Postboks 1000, Lørenskog, 1478 Norway
| |
Collapse
|
3
|
Fritz B, Fritz J, Sutter R. 3D MRI of the Ankle: A Concise State-of-the-Art Review. Semin Musculoskelet Radiol 2021; 25:514-526. [PMID: 34547816 DOI: 10.1055/s-0041-1731332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Magnetic resonance imaging (MRI) is a powerful imaging modality for visualizing a wide range of ankle disorders that affect ligaments, tendons, and articular cartilage. Standard two-dimensional (2D) fast spin-echo (FSE) and turbo spin-echo (TSE) pulse sequences offer high signal-to-noise and contrast-to-noise ratios, but slice thickness limitations create partial volume effects. Modern three-dimensional (3D) FSE/TSE pulse sequences with isotropic voxel dimensions can achieve higher spatial resolution and similar contrast resolutions in ≤ 5 minutes of acquisition time. Advanced acceleration schemes have reduced the blurring effects of 3D FSE/TSE pulse sequences by affording shorter echo train lengths. The ability for thin-slice partitions and multiplanar reformation capabilities eliminate relevant partial volume effects and render modern 3D FSE/TSE pulse sequences excellently suited for MRI visualization of several oblique and curved structures around the ankle. Clinical efficiency gains can be achieved by replacing two or three 2D FSE/TSE sequences within an ankle protocol with a single isotropic 3D FSE/TSE pulse sequence. In this article, we review technical pulse sequence properties for 3D MRI of the ankle, discuss practical considerations for clinical implementation and achieving the highest image quality, compare diagnostic performance metrics of 2D and 3D MRI for major ankle structures, and illustrate a broad spectrum of ankle abnormalities.
Collapse
Affiliation(s)
- Benjamin Fritz
- Department of Radiology, University Hospital Balgrist, Zurich, Switzerland.,Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Jan Fritz
- New York University Grossman School of Medicine, New York University, New York, New York
| | - Reto Sutter
- Department of Radiology, University Hospital Balgrist, Zurich, Switzerland.,Faculty of Medicine, University of Zurich, Zurich, Switzerland
| |
Collapse
|
4
|
Yi J, Lee YH, Hahn S, Albakheet SS, Song HT, Suh JS. Fast isotropic volumetric magnetic resonance imaging of the ankle: Acceleration of the three-dimensional fast spin echo sequence using compressed sensing combined with parallel imaging. Eur J Radiol 2019; 112:52-58. [DOI: 10.1016/j.ejrad.2019.01.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 01/05/2019] [Accepted: 01/08/2019] [Indexed: 11/26/2022]
|
5
|
Lee YH, Hahn S, Lim D, Suh JS. Articular cartilage grading of the knee: diagnostic performance of fat-suppressed 3D volume isotropic turbo spin-echo acquisition (VISTA) compared with 3D T1 high-resolution isovolumetric examination (THRIVE). Acta Radiol 2017; 58:190-196. [PMID: 27207633 DOI: 10.1177/0284185116646142] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Conventionally, two-dimensional (2D) fast spin-echo (FSE) sequences have been widely used for clinical cartilage imaging as well as gradient (GRE) sequences. Recently, three-dimensional (3D) volumetric magnetic resonance imaging (MRI) has been introduced with one 3D volumetric scan, and this is replacing slice-by-slice 2D MR scans. Purpose To evaluate the image quality and diagnostic performance of two 3D sequences for abnormalities of knee cartilage: fat-suppressed (FS) FSE-based 3D volume isotropic turbo spin-echo acquisition (VISTA) and GRE-based 3D T1 high-resolution isovolumetric examination (THRIVE). Material and Methods The institutional review board approved the protocol of this retrospective review. This study enrolled 40 patients (41 knees) with arthroscopically confirmed abnormalities of cartilage. All patients underwent isovoxel 3D-VISTA and 3D-THRIVE MR sequences on 3T MRI. We assessed the cartilage grade on the two 3D sequences using arthroscopy as a gold standard. Inter-observer agreement for each technique was evaluated with the intraclass correlation coefficient (ICC). Differences in the area under the curve (AUC) were compared between the 3D-THRIVE and 3D-VISTA. Results Although inter-observer agreement for both sequences was excellent, the inter-observer agreement for 3D-VISTA was higher than for 3D-THRIVE for cartilage grading in all regions of the knee. There was no significant difference in the diagnostic performance ( P > 0.05) between the two sequences for detecting cartilage grade. Conclusion FSE-based 3D-VISTA images had good diagnostic performance that was comparable to GRE-based 3D-THRIVE images in the evaluation of knee cartilage, and can be used in routine knee MR protocols for the evaluation of cartilage.
Collapse
Affiliation(s)
- Young Han Lee
- Department of Radiology, Research Institute of Radiological Science, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seok Hahn
- Department of Radiology, Research Institute of Radiological Science, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Daekeon Lim
- Department of Radiology, Research Institute of Radiological Science, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Suck Suh
- Department of Radiology, Research Institute of Radiological Science, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
6
|
Koh SH, Kwon BC, Park C, Hwang SY, Lee JW, Kim SS. A comparison of the performance of anatomical MRI and DTI in diagnosing carpal tunnel syndrome. Eur J Radiol 2014; 83:2065-73. [DOI: 10.1016/j.ejrad.2014.08.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2014] [Revised: 08/05/2014] [Accepted: 08/08/2014] [Indexed: 11/25/2022]
|
7
|
Mugler JP. Optimized three‐dimensional fast‐spin‐echo MRI. J Magn Reson Imaging 2014; 39:745-67. [PMID: 24399498 DOI: 10.1002/jmri.24542] [Citation(s) in RCA: 273] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Accepted: 10/31/2013] [Indexed: 11/10/2022] Open
Affiliation(s)
- John P. Mugler
- Department of Radiology and Medical ImagingUniversity of Virginia School of MedicineCharlottesville Virginia USA
| |
Collapse
|
8
|
Multibanded Anterior Talofibular Ligaments in Normal Ankles and Sprained Ankles Using 3D Isotropic Proton Density–Weighted Fast Spin-Echo MRI Sequence. AJR Am J Roentgenol 2014; 202:W87-94. [DOI: 10.2214/ajr.13.10727] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
|