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Albano D, Viglino U, Esposito F, Rizzo A, Messina C, Gitto S, Fusco S, Serpi F, Kamp B, Müller-Lutz A, D’Ambrosi R, Sconfienza LM, Sewerin P. Quantitative and Compositional MRI of the Articular Cartilage: A Narrative Review. Tomography 2024; 10:949-969. [PMID: 39058044 PMCID: PMC11280587 DOI: 10.3390/tomography10070072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 06/01/2024] [Accepted: 06/11/2024] [Indexed: 07/28/2024] Open
Abstract
This review examines the latest advancements in compositional and quantitative cartilage MRI techniques, addressing both their potential and challenges. The integration of these advancements promises to improve disease detection, treatment monitoring, and overall patient care. We want to highlight the pivotal task of translating these techniques into widespread clinical use, the transition of cartilage MRI from technical validation to clinical application, emphasizing its critical role in identifying early signs of degenerative and inflammatory joint diseases. Recognizing these changes early may enable informed treatment decisions, thereby facilitating personalized medicine approaches. The evolving landscape of cartilage MRI underscores its increasing importance in clinical practice, offering valuable insights for patient management and therapeutic interventions. This review aims to discuss the old evidence and new insights about the evaluation of articular cartilage through MRI, with an update on the most recent literature published on novel quantitative sequences.
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Affiliation(s)
- Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, 20122 Milan, Italy
| | - Umberto Viglino
- Unit of Radiology, Ospedale Evangelico Internazionale, 16100 Genova, Italy;
| | - Francesco Esposito
- Division of Radiology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy;
| | - Aldo Rizzo
- Postgraduate School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy;
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Salvatore Gitto
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Stefano Fusco
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Francesca Serpi
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Benedikt Kamp
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; (B.K.); (A.M.-L.)
| | - Anja Müller-Lutz
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; (B.K.); (A.M.-L.)
| | - Riccardo D’Ambrosi
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy; (C.M.); (S.G.); (S.F.); (F.S.); (R.D.); (L.M.S.)
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milan, Italy
| | - Philipp Sewerin
- Rheumazentrum Ruhrgebiet, Ruhr University Bochum, 44649 Herne, Germany;
- Department and Hiller-Research-Unit for Rheumatology, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
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Wen B, Zhang Z, Zhu J, Liu L, Liu Z, Ma X, Wang K, Xie L, Zhang Y, Cheng J. Synthetic MRI plus FSE-PROPELLER DWI for differentiating malignant from benign head and neck tumors: a preliminary study. Front Oncol 2023; 13:1225420. [PMID: 37829331 PMCID: PMC10565487 DOI: 10.3389/fonc.2023.1225420] [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: 05/24/2023] [Accepted: 09/04/2023] [Indexed: 10/14/2023] Open
Abstract
Background Preoperative classification of head and neck (HN) tumors remains challenging, especially distinguishing early cancerogenic masses from benign lesions. Synthetic MRI offers a new way for quantitative analysis of tumors. The present study investigated the application of synthetic MRI and stimulus and fast spin echo diffusion-weighted imaging with periodically rotated overlapping parallel lines with enhanced reconstruction (FSE-PROPELLER DWI) to differentiate malignant from benign HN tumors. Materials and methods Forty-eight patients with pathologically confirmed HN tumors were retrospectively recruited between August 2022 and October 2022. The patients were divided into malignant (n = 28) and benign (n = 20) groups. All patients were scanned using synthetic MRI and FSE-PROPELLER DWI. T1, T2, and proton density (PD) values were acquired on the synthetic MRI and ADC values on the FSE-PROPELLER DWI. Results Benign tumors (ADC: 2.03 ± 0.31 × 10-3 mm2/s, T1: 1741.13 ± 662.64 ms, T2: 157.43 ± 72.23 ms) showed higher ADC, T1, and T2 values compared to malignant tumors (ADC: 1.46 ± 0.37 × 10-3 mm2/s, T1: 1390.06 ± 241.09 ms, T2: 97.64 ± 14.91 ms) (all P<0.05), while no differences were seen for PD values. ROC analysis showed that T2+ADC (cut-off value, > 0.55; AUC, 0.950) had optimal diagnostic performance vs. T1 (cut-off value, ≤ 1675.84 ms; AUC, 0.698), T2 (cut-off value, ≤ 113.24 ms; AUC, 0.855) and PD (cut off value, > 80.67 pu; AUC, 0.568) alone in differentiating malignant from benign lesions (all P<0.05); yet, the difference in AUC between ADC and T2+ADC or T2 did not reach statistical significance. Conclusion Synthetic MRI and FSE-PROPELLER DWI can quantitatively differentiate malignant from benign HN tumors. T2 value is comparable to ADC value, and T2+ADC values could improve diagnostic efficacy., apparent diffusion coeffificient, head and neck tumors.
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Affiliation(s)
- Baohong Wen
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zanxia Zhang
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Zhu
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liang Liu
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zijun Liu
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoyue Ma
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kaiyu Wang
- MR Research China, GE Healthcare, Beijing, China
| | - Lizhi Xie
- MR Research China, GE Healthcare, Beijing, China
| | - Yong Zhang
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Hwang KP, Fujita S. Synthetic MR: Physical principles, clinical implementation, and new developments. Med Phys 2022; 49:4861-4874. [PMID: 35535442 DOI: 10.1002/mp.15686] [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: 09/30/2021] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 11/07/2022] Open
Abstract
Current clinical MR imaging practices rely on the qualitative assessment of images for diagnosis and treatment planning. While contrast in MR images is dependent on the spin parameters of the imaged tissue, pixel values on MR images are relative and are not scaled to represent any tissue properties. Synthetic MR is a fully featured imaging workflow consisting of efficient multiparameter mapping acquisition, synthetic image generation, and volume quantitation of brain tissues. As the application becomes more widely available on multiple vendors and scanner platforms, it has also gained widespread adoption as clinicians begin to recognize the benefits of rapid quantitation. This review will provide details about the sequence with a focus on the physical principles behind its relaxometry mechanisms. It will present an overview of the products in their current form and some potential issues when implementing it in the clinic. It will conclude by highlighting some recent advances of the technique, including a 3D mapping method and its associated applications. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Ken-Pin Hwang
- Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, 77030
| | - Shohei Fujita
- Department of Radiology, Graduate School of Medicine, The University of Tokyo.,Department of Radiology, Juntendo University, Tokyo, Japan
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Chang HK, Hsu TW, Ku J, Ku J, Wu JC, Lirng JF, Hsu SM. Simple parameters of synthetic MRI for assessment of bone density in patients with spinal degenerative disease. J Neurosurg Spine 2021:1-8. [PMID: 34653988 DOI: 10.3171/2021.6.spine21666] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 06/10/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Good bone quality is the key to avoiding osteoporotic fragility fractures and poor outcomes after lumbar instrumentation and fusion surgery. Although dual-energy x-ray absorptiometry (DEXA) screening is the current standard for evaluating osteoporosis, many patients lack DEXA measurements before undergoing lumbar spine surgery. The present study aimed to investigate the utility of using simple quantitative parameters generated with novel synthetic MRI to evaluate bone quality, as well as the correlations of these parameters with DEXA measurements. METHODS This prospective study enrolled patients with symptomatic lumbar degenerative disease who underwent DEXA and conventional and synthetic MRI. The quantitative parameters generated with synthetic MRI were T1 map, T2 map, T1 intensity, proton density (PD), and vertebral bone quality (VBQ) score, and these parameters were correlated with T-score of the lumbar spine. RESULTS There were 62 patients and 238 lumbar segments eligible for analysis. PD and VBQ score moderately correlated with T-score of the lumbar spine (r = -0.565 and -0.651, respectively; both p < 0.001). T1 intensity correlated fairly well with T-score (r = -0.411, p < 0.001). T1 and T2 correlated poorly with T-score. Receiver operating characteristic curve analysis demonstrated area under the curve values of 0.808 and 0.794 for detecting osteopenia/osteoporosis (T-score ≤ -1.0) and osteoporosis (T-score ≤ -2.5) with PD (both p < 0.001). CONCLUSIONS PD and T1 intensity values generated with synthetic MRI demonstrated significant correlation with T-score. PD has excellent ability for predicting osteoporosis and osteopenia.
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Affiliation(s)
- Hsuan-Kan Chang
- 1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.,2College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,3Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tun-Wei Hsu
- 4Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.,5Integrated PET/MR Imaging Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Johnson Ku
- 6University of California, Los Angeles, California; and
| | - Jason Ku
- 6University of California, Los Angeles, California; and
| | - Jau-Ching Wu
- 2College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,3Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,7Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jiing-Feng Lirng
- 2College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,4Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shih-Ming Hsu
- 1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
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Zhang W, Zhu J, Xu X, Fan G. Synthetic MRI of the lumbar spine at 3.0 T: feasibility and image quality comparison with conventional MRI. Acta Radiol 2020; 61:461-470. [PMID: 31522520 DOI: 10.1177/0284185119871670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Synthetic magnetic resonance imaging (MRI), which can generate multiple morphologic MR images as well as quantitative maps from a single sequence, is not widely used in the spine at 3.0 T. Purpose To investigate the feasibility of synthetic MRI of the lumbar spine in clinical practice at 3.0 T. Material and Methods Eighty-four patients with lumbar diseases underwent conventional T1-weighted images, T2-weighted images, short-tau inversion recovery (STIR) images, and synthetic MRI of the lumbar spine at 3.0 T. The quantitative and qualitative image quality and agreement for detection of spinal lesions between conventional and synthetic MRI were compared by two radiologists. Results The signal-to-noise ratios of synthetic MRI showed an inferior image quality in the vertebrae and disc, whereas were higher for spinal canal and fat on the synthetic T1-weighted, T2-weighted, and STIR images. The contrast-to-noise ratios of the synthetic MRI was superior to conventional sequences, except for the vertebrae–disc contrast-to-noise ratio on T1-weighted imaging ( P = 0.005). Image quality assessments showed that synthetic MRI had greater STIR fat suppression ( P < 0.001) and fluid brightness ( P = 0.014), as well as higher degree of artifacts ( P < 0.001) and worse spatial resolution ( P = 0.002). The inter-method agreements for detection of spinal lesions were substantial to perfect (kappa, 0.614–0.925). Conclusion Synthetic MRI is a feasible method for lumbar spine imaging in a clinical setting at 3.0-T MR. It provides morphologic sequences with acceptable image quality, good agreement with conventional MRI for detection of spinal lesions and quantitative image maps with a slightly shorter acquisition time compared with conventional MRI.
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Affiliation(s)
- Weilan Zhang
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Jingyi Zhu
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Xiaohan Xu
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Guoguang Fan
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
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Di Giuliano F, Minosse S, Picchi E, Marfia GA, Da Ros V, Muto M, Muto M, Pistolese CA, Laghi A, Garaci F, Floris R. Comparison between synthetic and conventional magnetic resonance imaging in patients with multiple sclerosis and controls. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 33:549-557. [PMID: 31782035 DOI: 10.1007/s10334-019-00804-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 10/30/2019] [Accepted: 11/18/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Synthetic magnetic resonance imaging (SyMRI) allows to obtain different weighted-images using the multiple-dynamic multiple-echo sequence lasting 6 min. The aim is to compare quantitatively and qualitatively synthetic- and conventional MRI in patients with multiple sclerosis (MS) and controls assessing the contrast (C), the signal to noise ratio (SNR), and the contrast to noise ratio (CNR). We evaluated the lesion count and lesion-to-white matter contrast ([Formula: see text] in the MS patients. METHODS AND METHODS 51 patients underwent synthetic- and conventional MRI. Qualitative analysis was evaluated by assigning scores to all synthetic- and conventional MRI sequences by two neuroradiologists. Lesions were counted in MS patients both in the conventional- and synthetic T2-FLAIR. Regions of interest were placed in the cerebrospinal fluid, in the white- and grey matter. For the sequences were evaluated: C, CNR, and SNR. RESULTS Synthetic T2-FLAIR images are qualitatively inferior. C and CNR were significantly higher in synthetic T1W and T2W images compared to conventional images, but not for T2-FLAIR. The SNR value was always lower in synthetic images than in conventional ones. CONCLUSIONS SyMRI can be used in clinical practice because it has a similar diagnostic accuracy which reduces the scanning time compared to the conventional one. However, synthetic T2-FLAIR images need to be improved.
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Affiliation(s)
- Francesca Di Giuliano
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Silvia Minosse
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
| | - Eliseo Picchi
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Girolama Alessandra Marfia
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,Neurology Unit, Department of Neurosciences, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Valerio Da Ros
- Department of Diagnostic Imaging and Interventional Radiology, Policlinico Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Massimo Muto
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80100, Naples, Italy
| | - Mario Muto
- Department of Neuroradiology, A.O.R.N. Cardarelli, 80100, Naples, Italy
| | - Chiara Adriana Pistolese
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, Radiology Unit, "Sapienza" University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.,U.O.C Diagnostic Imaging and Neuroradiology, Department of Integrated Care Processes, Fondazione PTV Policlinico "Tor Vergata", University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
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Roux M, Hilbert T, Hussami M, Becce F, Kober T, Omoumi P. MRI T2 Mapping of the Knee Providing Synthetic Morphologic Images: Comparison to Conventional Turbo Spin-Echo MRI. Radiology 2019; 293:620-630. [PMID: 31573393 DOI: 10.1148/radiol.2019182843] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Use of a T2 mapping sequence in addition to the conventional knee MRI protocol increases sensitivity to early cartilage lesions but is time consuming. Purpose To test the in vitro validity of quantitative data from an accelerated parallel T2 mapping sequence (combined generalized autocalibrating partially parallel acquisition and model-based accelerated relaxometry by iterative nonlinear inversion [GRAPPATINI]) of the knee and to compare in vivo synthetic images generated with this sequence with those generated with conventional morphologic sequences. Materials and Methods T2 estimations with GRAPPATINI were validated in vitro in comparison with T2 estimations with routine multisection multiecho and reference standard single-section single-echo spin-echo T2 mapping sequences by using a Bland-Altman plot. Synthetic morphologic images (intermediate-weighted sequence, 34-msec echo time; T2-weighted sequence, 80-msec echo time) were compared in vivo with corresponding conventional morphologic turbo spin-echo 3-T sequences by three readers in consecutive patients recruited retrospectively from February to May 2018. Synthetic and conventional morphologic images were compared by using rates of interreader agreement, κ statistics, and rates of findings. Results T2 values with GRAPPATINI were accurate compared with those obtained with the reference single-section single-echo sequence, with slight T2 overestimation (2.7 msec). Sixty-one patients (mean age, 43 years ± 16 [standard deviation]; 32 men) were included. The rate of agreement when one reader used synthetic morphologic images and the other used conventional sequences was not inferior to the rate of agreement when all readers used conventional sequences (upper bounds of 95% confidence intervals of differences between rates of agreement ≤ 4.8%). Interreader agreement was similar for the conventional set alone, the synthetic set alone, and when readers used different sets (two-by-two differences between κ values for all items ≤ 0.15). The rates of findings were not different between synthetic and conventional image sets (all P ≥ .07) except for two items (femoral trochlear cartilage [3.0% vs 0.3%, P = .006] and joint effusion [0.3% vs 2.7%, P = .005]). Conclusion This T2 mapping sequence yields, in one acquisition, accurate T2 values and synthetic morphologic images that are comparable with those obtained with conventional turbo spin-echo sequences. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Fritz in this issue.
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Affiliation(s)
- Marion Roux
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
| | - Tom Hilbert
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
| | - Mahmoud Hussami
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
| | - Fabio Becce
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
| | - Tobias Kober
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
| | - Patrick Omoumi
- From the Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (M.R., T.H., M.H., F.B., T.K., P.O.); Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (T.H., T.K.); and LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (T.H., T.K.)
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Krishnamurthy R, Wang DJJ, Cervantes B, McAllister A, Nelson E, Karampinos DC, Hu HH. Recent Advances in Pediatric Brain, Spine, and Neuromuscular Magnetic Resonance Imaging Techniques. Pediatr Neurol 2019; 96:7-23. [PMID: 31023603 DOI: 10.1016/j.pediatrneurol.2019.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 12/21/2022]
Abstract
Magnetic resonance imaging (MRI) is a powerful radiologic tool with the ability to generate a variety of proton-based signal contrast from tissues. Owing to this immense flexibility in signal generation, new MRI techniques are constantly being developed, tested, and optimized for clinical utility. In addition, the safe and nonionizing nature of MRI makes it a suitable modality for imaging in children. In this review article, we summarize a few of the most popular advances in MRI techniques in recent years. In particular, we highlight how these new developments have affected brain, spine, and neuromuscular imaging and focus on their applications in pediatric patients. In the first part of the review, we discuss new approaches such as multiphase and multidelay arterial spin labeling for quantitative perfusion and angiography of the brain, amide proton transfer MRI of the brain, MRI of brachial plexus and lumbar plexus nerves (i.e., neurography), and T2 mapping and fat characterization in neuromuscular diseases. In the second part of the review, we focus on describing new data acquisition strategies in accelerated MRI aimed collectively at reducing the scan time, including simultaneous multislice imaging, compressed sensing, synthetic MRI, and magnetic resonance fingerprinting. In discussing the aforementioned, the review also summarizes the advantages and disadvantages of each method and their current state of commercial availability from MRI vendors.
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Affiliation(s)
| | - Danny J J Wang
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Barbara Cervantes
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
| | | | - Eric Nelson
- Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, Ohio
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
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Linearity, Bias, Intrascanner Repeatability, and Interscanner Reproducibility of Quantitative Multidynamic Multiecho Sequence for Rapid Simultaneous Relaxometry at 3 T. Invest Radiol 2019; 54:39-47. [DOI: 10.1097/rli.0000000000000510] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Jung Y, Gho SM, Back SN, Ha T, Kang DK, Kim TH. The feasibility of synthetic MRI in breast cancer patients: comparison of T2 relaxation time with multiecho spin echo T2 mapping method. Br J Radiol 2019; 92:20180479. [PMID: 30215550 PMCID: PMC6435064 DOI: 10.1259/bjr.20180479] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/26/2018] [Accepted: 09/09/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To compare the T2 relaxation times acquired with synthetic MRI to those of multi-echo spin-echo sequences and to evaluate the usefulness of synthetic MRI in the clinical setting. METHODS From January 2017 to May 2017, we included 51 patients with newly diagnosed breast cancer, who underwent additional synthetic MRI and multiecho spin echo (MESE) T2 mapping sequences. Synthetic MRI technique uses a multiecho and multidelay acquisition method for the simultaneous quantification of physical properties such as T1 and T2 relaxation times and proton density image map. A radiologist with 9 years of experience in breast imaging drew region of interests manually along the tumor margins on two consecutive axial sections including the center of tumor mass and in the fat tissue of contralateral breast on both synthetic T2 map and MESE T2 map images. RESULTS The mean T2 relaxation time of the cancer was 84.75 ms (± 15.54) by synthetic MRI and 90.35 ms (± 19.22) by MESE T2 mapping. The mean T2 relaxation time of the fat was 129.22 ms (± 9.53) and 102.11 ms (± 13.9), respectively. Bland-Altman analysis showed mean difference of 8.4 ms for the breast cancer and a larger mean difference of 27.8 ms for the fat tissue. Spearman's correlation test showed that there was significant positive correlation between synthetic MRI and MESE sequences for the cancer (r = 0.713, p < 0.001) and for the fat (r = 0.551, p < 0.001). The positive estrogen receptor and low histologic grade were associated with little differences between two methods (p = 0.02 and = 0.043, respectively). CONCLUSION T2 relaxation times of breast cancer acquired with synthetic MRI showed positive correlation with those of MESE T2 mapping. Synthetic MRI could be useful for the evaluation of tissue characteristics by simultaneous acquisition of several quantitative physical properties. ADVANCES IN KNOWLEDGE Synthetic MRI is useful for the evaluation of T2 relaxation times of the breast cancers.
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Affiliation(s)
- Yongsik Jung
- Department of Surgery, Ajou University School of Medicine, Suwon, South Korea
| | - Sung-Min Gho
- MR Clinical Research and Development GE Healthcare, Gangnam, Republic of Korea
| | - Seung Nam Back
- MR Clinical Research and Development GE Healthcare, Gangnam, Republic of Korea
| | - Taeyang Ha
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
| | - Doo Kyoung Kang
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
| | - Tae Hee Kim
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
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Kumar NM, Fritz B, Stern SE, Warntjes JBM, Lisa Chuah YM, Fritz J. Synthetic MRI of the Knee: Phantom Validation and Comparison with Conventional MRI. Radiology 2018; 289:465-477. [PMID: 30152739 DOI: 10.1148/radiol.2018173007] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Purpose To test the hypothesis that synthetic MRI of the knee generates accurate and repeatable quantitative maps and produces morphologic MR images with similar quality and detection rates of structural abnormalities than does conventional MRI. Materials and Methods Data were collected prospectively between January 2017 and April 2018 and were retrospectively analyzed. An International Society for Magnetic Resonance in Medicine-National Institute of Standards and Technology phantom was used to determine the accuracy of T1, T2, and proton density (PD) quantification. Statistical models were applied for correction. Fifty-four participants (24 men, 30 women; mean age, 40 years; range, 18-62 years) underwent synthetic and conventional 3-T MRI twice on the same day. Fifteen of 54 participants (28%) repeated the protocol within 9 days. The intra- and interday agreements of quantitative cartilage measurements were assessed. Contrast-to-noise (CNR) ratios, image quality, and structural abnormalities were assessed on corresponding synthetic and conventional images. Statistical analyses included the Wilcoxon test, χ2 test, and Cohen Kappa. P values less than or equal to .01 were considered to indicate a statistically significant difference. Results Synthetic MRI quantification of T1, T2, and PD values had an overall model-corrected error margin of 0.8%. The synthetic MRI interday repeatability of articular cartilage quantification had native and model-corrected error margins of 3.3% and 3.5%, respectively. The cartilage-to-fluid CNR and menisci-to-fluid CNR was higher on synthetic than conventional MR images (P ≤ .001, respectively). Synthetic MRI improved short-tau inversion recovery fat suppression (P ˂ .01). Intermethod agreements of structural abnormalities were good (kappa, 0.621-0.739). Conclusion Synthetic MRI of the knee is accurate for T1, T2, and proton density quantification, and simultaneously generated morphologic MR images have detection rates of structural abnormalities similar to those of conventional MR images, with similar acquisition time. © RSNA, 2018.
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Affiliation(s)
- Neil M Kumar
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
| | - Benjamin Fritz
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
| | - Steven E Stern
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
| | - J B Marcel Warntjes
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
| | - Yen Mei Lisa Chuah
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD 21287 (N.M.K., J.F.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Faculty of Medicine, University of Zurich, Zurich, Switzerland (B.F.); Bond Business School, Bond University, Gold Coast, Australia (S.E.S.); Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden (J.B.M.W.); Division of Clinical Physiology, Department of Medicine and Health, University Hospital, Linköping, Sweden (J.B.M.W.); SyntheticMR AB, Linköping, Sweden (J.B.M.W.); and Siemens Healthcare GmbH, Erlangen, Germany (Y.M.L.C.)
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12
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Vargas MI, Drake-Pérez M, Delattre BMA, Boto J, Lovblad KO, Boudabous S. Feasibility of a Synthetic MR Imaging Sequence for Spine Imaging. AJNR Am J Neuroradiol 2018; 39:1756-1763. [PMID: 30072367 DOI: 10.3174/ajnr.a5728] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 05/29/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE Synthetic MR imaging is a method that can produce multiple contrasts from a single sequence, as well as quantitative maps. Our aim was to determine the feasibility of a synthetic MR image for spine imaging. MATERIALS AND METHODS Thirty-eight patients with clinical indications of infectious, degenerative, and neoplastic disease underwent an MR imaging of the spine (11 cervical, 8 dorsal, and 19 lumbosacral MR imaging studies). The SyntAc sequence, with an acquisition time of 5 minutes 40 seconds, was added to the usual imaging protocol consisting of conventional sagittal T1 TSE, T2 TSE, and STIR TSE. RESULTS Synthetic T1-weighted, T2-weighted, and STIR images were of adequate quality, and the acquisition time was 53% less than with conventional MR imaging. The image quality was rated as "good" for both synthetic and conventional images. Interreader agreement concerning lesion conspicuity was good with a Cohen κ of 0.737. Artifacts consisting of white pixels/spike noise across contrast views, as well as flow artifacts, were more common in the synthetic sequences, particularly in synthetic STIR. There were no statistically significant differences between readers concerning the scores assigned for image quality or lesion conspicuity. CONCLUSIONS Our study shows that synthetic MR imaging is feasible in spine imaging and produces, in general, good image quality and diagnostic confidence. Furthermore, the non-negligible time savings and the ability to obtain quantitative measurements as well as to generate several contrasts with a single acquisition should promise a bright future for synthetic MR imaging in clinical routine.
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Affiliation(s)
- M I Vargas
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - M Drake-Pérez
- Department of Radiology (M.D.-P.), University Hospital Marqués de Valdecilla, IDIVAL, Santander, Spain
| | - B M A Delattre
- Division of Radiology (B.M.A.D., S.B.), Geneva University Hospitals, Geneva, Switzerland
| | - J Boto
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - K-O Lovblad
- From the Division of Diagnostic and Interventional Neuroradiology (M.I.V., J.B., K.-O.L.), Geneva University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - S Boudabous
- Division of Radiology (B.M.A.D., S.B.), Geneva University Hospitals, Geneva, Switzerland
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13
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Park S, Kwack KS. Initial experience with synthetic MRI of the knee at 3T: comparison with conventional T1 weighted imaging and T2 mapping. Br J Radiol 2018; 91:20180006. [DOI: 10.1259/bjr.20180006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Sunghoon Park
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
- Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea
| | - Kyu-Sung Kwack
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
- Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea
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Chougar L, Hagiwara A, Andica C, Hori M, Aoki S. Synthetic MRI of the knee: new perspectives in musculoskeletal imaging and possible applications for the assessment of bone marrow disorders. Br J Radiol 2018; 91:20170886. [PMID: 29308919 DOI: 10.1259/bjr.20170886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Affiliation(s)
- Lydia Chougar
- 1 Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku , Tokyo , Japan.,2 Department of Radiology, Hôpital Cochin , Paris , France
| | - Akifumi Hagiwara
- 1 Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku , Tokyo , Japan.,3 Department of Radiology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku , Tokyo , Japan
| | - Christina Andica
- 1 Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku , Tokyo , Japan
| | - Masaaki Hori
- 1 Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku , Tokyo , Japan
| | - Shigeki Aoki
- 1 Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku , Tokyo , Japan
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Mars M, Chelli M, Tbini Z, Ladeb F, Gharbi S. MRI T2 Mapping of Knee Articular Cartilage Using Different Acquisition Sequences and Calculation Methods at 1.5 Tesla. Med Princ Pract 2018; 27:443-450. [PMID: 29895028 PMCID: PMC6243913 DOI: 10.1159/000490796] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 06/12/2018] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE This study aims to determine how magnetic resonance imaging (MRI) acquisition techniques and calculation methods affect T2 values of knee cartilage at 1.5 tesla and to identify sequences that can be used for high-resolution T2 mapping in short scanning times. MATERIALS AND METHODS This study was performed on phantom and 29 patients who underwent MRI of the knee joint at 1.5 tesla. The protocol includes T2 mapping sequences based on Single-Echo Spin Echo (SESE), Multi-Echo Spin Echo (MESE), Fast Spin Echo (FSE) and Turbo Gradient Spin Echo (TGSE). The T2 relaxation times were quantified and evaluated using three calculation methods (MapIt, Syngo Offline and mono-exponential fit). signal-to-noise ratios (SNR) were measured in all sequences. All statistical analyses were performed using the t-test. RESULTS The average T2 values in phantom were 41.7 ± 13.8 ms for SESE, 43.2 ± 14.4 ms for MESE, 42.4 ± 14.1 ms for FSE and 44 ± 14.5 ms for TGSE. In the patient study, the mean differences were 6.5 ± 8.2 ms, 7.8 ± 7.6 ms and 8.4 ± 14.2 ms for MESE, FSE and TGSE compared to SESE, respectively; these statistical results were not significantly different (p > 0.05). The comparison between the three calculation methods showed no significant difference (p > 0.05). The t-test showed no significant difference between SNR values for all sequences. CONCLUSION T2 values depend not only on the sequence type but also on the calculation method. None of the sequences revealed significant differences compared to the SESE reference sequence. TGSE with its short scanning time can be used for high-resolution T2 mapping.
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Affiliation(s)
- Mokhtar Mars
- Tunis University EL Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia
- *Mokhtar Mars, 29 Rue Imam Chafai La Petite Ariana, Jaafar, 2083 Tunis (Tunisia), E-Mail
| | - Mouna Chelli
- Tunis University EL Manar, Faculty of Medicine of Tunis, Department of Radiology, Kassab Institute of Orthopedics, Ksar Saïd, Tunis, Tunisia
| | - Zeineb Tbini
- Tunis University EL Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia
| | - Fethi Ladeb
- Tunis University EL Manar, Faculty of Medicine of Tunis, Department of Radiology, Kassab Institute of Orthopedics, Ksar Saïd, Tunis, Tunisia
| | - Souha Gharbi
- Tunis University EL Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia
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