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Yao R, Zhu X, Zhou D, Yang L, Yu H, Zhang R, Yu T, Yang M. Fast kilovoltage peak-switching dual-energy computed tomography water-hydroxyapatite decomposition for detecting vertebral compression fracture-related bone marrow edema: a comparison with magnetic resonance imaging. Quant Imaging Med Surg 2025; 15:2270-2279. [PMID: 40160625 PMCID: PMC11948417 DOI: 10.21037/qims-24-1576] [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: 08/14/2024] [Accepted: 02/10/2025] [Indexed: 04/02/2025]
Abstract
Background Dual-energy computed tomography (DECT) material decomposition techniques have been reported to be effective for identifying acute and chronic vertebral compression fractures (VCFs) as compared with magnetic resonance imaging (MRI). However, a quantitative evaluation of the consistency of the bone marrow edema (BME) region depicted by DECT with that delineated by MRI has not been reported. This study thus aimed to qualitatively and quantitatively assess the fast kilovoltage peak (kVp)-switching DECT water-hydroxyapatite (HAP) decomposition technique in detecting traumatic BME in patients with VCFs and compare it to MRI. Methods A total of 195 consecutive patients who underwent both spinal DECT and MRI within 3 days from each other were retrospectively enrolled. All vertebral bodies were blindly evaluated for the presence of traumatic BME on water-HAP images. Water concentration was measured in all vertebral bodies, and the maximum area of BME was measured in the edematous ones. An experienced radiologist blindly evaluated the presence of BME on fluid-sensitive MR images, which served as the reference, and calculated the maximum area of BME. One-way analysis of variance with post hoc pairwise comparisons (Tamhane's T2 at P<0.05) was used to compare water concentrations among acute VCFs, chronic VCFs, and normal vertebrae. Receiver operating characteristic (ROC) curve analysis was conducted to predict acute VCFs. Bland-Altman analysis was performed to evaluate the consistency of the maximum area of BME measured on DECT and MRI. Results In the visual analysis of acute VCFs, water-HAP images had an overall sensitivity of 97.1%, a specificity of 99.7%, and an accuracy of 99.4%. Water concentration differed significantly between acute and chronic VCFs and between acute VCFs and normal vertebrae (P<0.001), but it did not differ significantly between chronic VCFs and normal vertebrae (P=0.998). ROC curve analysis yielded an area under the curve of 0.989, and the optimal threshold of 991.4 mg/cm3 yielded a 94.9% sensitivity and a 90.3% specificity in identifying edematous vertebral bodies. Bland-Altman plots indicated that all mean differences in the maximum area of BME measured on DECT and MRI were nearly zero (P>0.05), with most differences having a standard deviation within 1.96. Conclusions The fast kVp-switching DECT water-HAP decomposition technique had an excellent diagnostic performance in distinguishing acute VCFs from chronic ones. The depicted areas of BME on DECT and MRI were highly similar.
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Affiliation(s)
- Rong Yao
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Xue'e Zhu
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Dan Zhou
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Li Yang
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Hanxiao Yu
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Rui Zhang
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Tongbo Yu
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Menghua Yang
- Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
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Ventura C, Cacioppa LM, Caldarelli S, Sallei G, Lamponi F, Mascitti M, Carotti M, Floridi C, Valeri G. Toward the Application of Dual-Energy Computed Tomography with Virtual Non-Hydroxyapatite Color-Coded Maps to Identify Traumatic Fractures in Daily Emergency Settings. J Imaging 2024; 10:267. [PMID: 39590731 PMCID: PMC11595750 DOI: 10.3390/jimaging10110267] [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: 09/23/2024] [Revised: 10/19/2024] [Accepted: 10/22/2024] [Indexed: 11/28/2024] Open
Abstract
To evaluate the advantages of dual-energy computed tomography (DECT) virtual non-hydroxyapatite color mapping (VNHAP) in combination with standard bone CT (BCT) in the identification of subtle or occult traumatic fractures referred to emergency and acceptance departments (DEAs). Forty patients (22 men; mean age 83 ± 23.7 y) with suspected traumatic fractures referred to our emergency department and examined with a fast kilovoltage-switching single-source spectral CT scan between January and October 2023 were retrospectively reviewed. The BCT and VNHAP images were blindly evaluated by two radiologists with >10 years and <2 years of experience in musculoskeletal imaging. Both techniques were evaluated in terms of sensitivity (SE), specificity (SP), positive and negative predictive values (PPVs and NPVs) and accuracy for fracture detection, as confirmed at a 3-month clinical-instrumental follow-up. Inter-observer agreement and examination times were also analyzed. Fractures were confirmed in 18/40 cases. The highest values of diagnostic performance for VNHAP images were obtained in terms of SP (90.9% and 95%) and PPV (87.5% and 92.8%) and for the less experienced operator. No statistically significant differences were observed between the diagnostic accuracy of the two readers in the evaluation of VNHAP images. Inter-observer agreement was moderate (κ = 0.536) for BCT and substantial (κ = 0.680) for VNHAP. Comparing the two operators, a significantly longer examination time for BCT and no significant difference for VNHAP were registered. Our preliminary experience may encourage the employment of VNHAP maps in combination with BCT images in emergency settings. Their use could be time-saving and valuable in terms of diagnostic performance, especially for less experienced operators.
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Affiliation(s)
- Claudio Ventura
- Diagnostic Radiology Unit, Department of Services, AST Fermo, Via Augusto Murri 21, 63900 Fermo, Italy; (C.V.); (S.C.); (G.V.)
| | - Laura Maria Cacioppa
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
| | - Sonia Caldarelli
- Diagnostic Radiology Unit, Department of Services, AST Fermo, Via Augusto Murri 21, 63900 Fermo, Italy; (C.V.); (S.C.); (G.V.)
| | - Giovanni Sallei
- Ortopedics Unit, Surgical Department, AST Fermo, Via Augusto Murri 21, 63900 Fermo, Italy; (G.S.); (F.L.)
| | - Federico Lamponi
- Ortopedics Unit, Surgical Department, AST Fermo, Via Augusto Murri 21, 63900 Fermo, Italy; (G.S.); (F.L.)
| | - Marco Mascitti
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
| | - Marina Carotti
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
- Division of Radiology, Department of Radiological Sciences, University Hospital “Azienda Ospedaliero Universitaria Delle Marche”, 60126 Ancona, Italy
| | - Chiara Floridi
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
- Division of Radiology, Department of Radiological Sciences, University Hospital “Azienda Ospedaliero Universitaria Delle Marche”, 60126 Ancona, Italy
| | - Gianluca Valeri
- Diagnostic Radiology Unit, Department of Services, AST Fermo, Via Augusto Murri 21, 63900 Fermo, Italy; (C.V.); (S.C.); (G.V.)
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Wang Y, Qiao F, Li N, Liu Y, Long Y, Xu K, Wang J, Zhang W. The value of quantitative analysis of radionuclide bone SPECT/CT imaging in vertebral compression fracture: a retrospective study. BMC Med Imaging 2024; 24:270. [PMID: 39379844 PMCID: PMC11459896 DOI: 10.1186/s12880-024-01452-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 10/03/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Most patients with osteoporosis experience vertebral compression fracture (VCF), which significantly reduces their quality of life. These patients are at a high risk of secondary VCF regardless of treatment. Thus, accurate diagnosis of VCF is important for treating and preventing new fractures. We aimed to investigate the diagnostic and predictive value of quantitative bone imaging techniques for fresh VCF. METHODS From November 2021 to March 2023, 34 patients with VCF were enrolled in this study, all of whom underwent routine 99mTc-MDP whole-body bone planar scan and local SPECT/CT imaging. The maximum standard uptake value (SUVmax) of 57 fresh VCF, 57 normal adjacent vertebrae, and 19 old VCF were measured. Based on the site of the fracture, fresh VCFs were regrouped into the intervertebral-type group and the margin-type group. Meanwhile, 52 patients who had no bone metastasis or VCFs in their bone scan were assigned to the control group. The SUVmax of 110 normal vertebral bodies and 10 old VCFs in the control group were measured. RESULTS The median SUVmax of fresh VCF was 19.80, which was significantly higher than the SUVmax of other groups. The receiver operator characteristic (ROC) curve showed that the cut-off value of SUVmax was 9.925 for diagnosing fresh VCF. The SUVmax in the intervertebral-type group was significantly higher than that in the margin-type group (P = 0.04). The SUVmax of normal vertebrae was higher among patients than among the control group (P<0.01), but the CT HU value showed no significant difference. CONCLUSION The quantitative technique of bone SPECT/CT has a significant value in diagnosing fresh VCF. It can also determine the severity of fractures. In addition, whether the SUVs of the vertebrae adjacent to the fractured vertebra can predict re-fracture deserves further studies.
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Affiliation(s)
- Yuhua Wang
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Feifei Qiao
- Department of Head and Neck Surgery, Shanxi Cancer Hospital, Zhigongxincun No.3, Xinghualing District, Taiyuan, 030013, China
| | - Na Li
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Ye Liu
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Yahong Long
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Kang Xu
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Jiantao Wang
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China
| | - Wanchun Zhang
- Department of Nuclear Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Long Cheng Street 99, Xiao Dian District, Taiyuan, 030032, China.
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Zhou X, Liu Y, Chen S, Xiang J, Li J, Li J, You T, Zhong Z, Zhang K. Increased water content in multifidus muscles of young adults with chronic nonspecific low back pain detected by dual-energy CT and MRI. Eur J Radiol 2024; 176:111515. [PMID: 38772163 DOI: 10.1016/j.ejrad.2024.111515] [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: 03/07/2024] [Revised: 05/07/2024] [Accepted: 05/17/2024] [Indexed: 05/23/2024]
Abstract
OBJECTIVES To demonstrate the feasibility of better diagnosing young adults with chronic nonspecific low back pain (CNLBP) by measuring water content in paraspinal muscles using water-muscle decomposition technique in dual-energy CT (DECT) and T2-mapping in MRI. METHODS This prospective cross-sectional study included 110 young individuals (56 with CNLBP at age of 25.7 ± 2.0 years and 54 of asymptomatic at age of 25.1 ± 1.9 years) who underwent both MRI and DECT on the spine. T2 values on T2 mapping in MRI and water density (WD) value on water(muscle) images in DECT were generated at the L1-L4 levels for erector spinae muscle and L2-L5 for multifidus muscle. Pain duration time, Oswestry Disability Index (ODI), Visual Analogue Scale (VAS) were recorded for CNLBP patients. Difference of T2 value and WD between the two patient groups, and correlations between T2 value and WD, and T2 value and WD with clinical indicators were analyzed. RESULTS Compared with asymptomatic participants, the mean WD of multifidus muscle at L4-L5 and mean T2 values of multifidus muscle at L5 were significantly higher in CNLBP patients (all P < 0.05). T2 values had moderate to strong positive correlations (r = 0.34-0.60, all P < 0.05) with DECT WD in CNLBP patients and healthy volunteers. There was a weak correlation between VAS and WD in L5-level multifidus muscle (r = 0.29, P < 0.05). CONCLUSIONS The T2 values in MRI and WD in DECT are higher in multifidus muscles of lower vertebra levels for young CNLBP patients, and there exists positive correlation between WD and T2 values, providing useful information for diagnosing CNLBP.
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Affiliation(s)
- Xiaona Zhou
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China; First Clinical College of Traditional Chinese Medicine, Hunan University of Traditional Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha, Hunan 410208, PR China
| | - Yinqi Liu
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Suping Chen
- GE Healthcare (Shanghai) Co., Ltd., Shanghai 201203, PR China
| | - Jian Xiang
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China; First Clinical College of Traditional Chinese Medicine, Hunan University of Traditional Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha, Hunan 410208, PR China
| | - Jianying Li
- GE Healthcare (Shanghai) Co., Ltd., Shanghai 201203, PR China
| | - Jianyu Li
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Tian You
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Zeya Zhong
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China
| | - Kun Zhang
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, PR China; College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, 300 Xueshi Road, Yuelu District, Changsha 410208, PR China.
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Yao J, Jiang W, Zhang H, Fan Z, Zhang W, Zhuang S, Wang J. Visual assessment and quantitative analysis of bone marrow edema in young and middle-aged versus elderly patients with vertebral compression fracture by spectral CT. Acta Radiol 2024; 65:49-55. [PMID: 36575593 DOI: 10.1177/02841851221146977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND For the diagnosis of bone marrow edema (BME), spectral computed tomography (CT) has emerged as a promising technique. PURPOSE To study the different performances of spectral CT in the diagnosis of vertebral BME in young and middle-aged versus elderly patients. MATERIAL AND METHODS Magnetic resonance imaging (MRI) was used as the gold standard. To determine the existence of BME, spectral CT color-coded images of the vertebral bodies of 82 patients with vertebral compression fractures (VCFs) were visually inspected. A quantitative analysis of the spectral CT vertebral water concentration in the diagnosis of BME was performed using a receiver operating characteristic (ROC) curve. Patients were divided into two groups for comparison: the young and middle-aged group; and the elderly group. RESULTS The sensitivity and specificity for visual assessment were 83.7% and 98.3%, respectively, in the young and middle-aged group and 96.8% and 98.2%, respectively, in the elderly group. The elderly group had a higher sensitivity than the young and middle-aged group (P < 0.05). With a threshold of 1046.2 mg/cm3, the ROC curve for the young and middle-aged group displayed an area under the curve (AUC) of 0.870, sensitivity of 86.0%, and specificity of 81.4%. The threshold of 1031.4 mg/cm3 yielded a sensitivity of 95.2% and a specificity of 98.4%, and the AUC of the elderly group was 0.997. The elderly group had a higher level of specificity than the young and middle-aged group (P < 0.05). CONCLUSION Spectral CT can reliably diagnose BME in VCFs, and it performs better in elderly people than in young and middle-aged people.
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Affiliation(s)
- Junpeng Yao
- Department of Radiology, Changzhou Municipal Hospital of Traditional Chinese Medicine, Changzhou, PR China
| | - Wanli Jiang
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Hong Zhang
- Department of Radiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Zijian Fan
- Department of Radiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Wei Zhang
- Department of Radiology, Changzhou Municipal Hospital of Traditional Chinese Medicine, Changzhou, PR China
| | - Shunda Zhuang
- Department of Radiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Jianguo Wang
- Department of Radiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, PR China
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Tivnan P, Kaliaev A, Anderson SW, LeBedis CA, Li B, Andreu-Arasa VC. Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures. FRONTIERS IN RADIOLOGY 2023; 3:1187449. [PMID: 37810756 PMCID: PMC10558208 DOI: 10.3389/fradi.2023.1187449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/07/2023] [Indexed: 10/10/2023]
Abstract
Purpose The purpose of this study is to utilize a two-material decomposition to quantify bone marrow edema on a dual-energy computed tomography (DECT) scanner at the cervical, thoracic, and lumbar spine acute fractures in correlation with short tau inversion recovery (STIR) hyperintensity on magnetic resonance imaging (MRI) in comparison with the normal bone marrow. Materials and methods This retrospective institutional review board-approved study gathered patients over 18 years old who had acute cervical, thoracic, or lumbar spinal fractures scanned on a DECT scanner. Those who had a spinal MRI done with bone marrow STIR hyperintensity within 3 weeks of the DECT were included. The water (calcium) and fat (calcium) density (mg/cm3) measurements of the region of interest of the bone marrow were obtained at a normal anatomic equivalent site and at the fracture site where STIR hyperintensity was noted on MRI. A statistical analysis was performed using the paired t-test and Wilcoxon signed rank test (p > 0.05). Results A total of 20 patients met the inclusion criteria (males n = 17 males, females n = 3). A total of 32 fractures were analyzed: 19 cervical and 13 thoracolumbar. There were statistically significant differences in the water (43 ± 24 mg/cm3) and fat (36 ± 31 mg/cm3) density (mg/cm3) at the acute thoracic and lumbar spine fractures in correlation with edema on STIR images (both paired t-test <0.001, both Wilcoxon signed ranked test p < 0.01). There were no significant differences in the water (-10 ± 46 mg/cm3) or fat (+7 ± 50 mg/cm3) density (mg/cm3) at the cervical spine fractures. Conclusion The DECT two-material decomposition using water (calcium) and fat (calcium) analyses has the ability to quantify a bone marrow edema at the acute fracture site in the thoracic and lumbar spine.
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Mourad C, Cosentino A, Nicod Lalonde M, Omoumi P. Advances in Bone Marrow Imaging: Strengths and Limitations from a Clinical Perspective. Semin Musculoskelet Radiol 2023; 27:3-21. [PMID: 36868241 PMCID: PMC9984270 DOI: 10.1055/s-0043-1761612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
Conventional magnetic resonance imaging (MRI) remains the modality of choice to image bone marrow. However, the last few decades have witnessed the emergence and development of novel MRI techniques, such as chemical shift imaging, diffusion-weighted imaging, dynamic contrast-enhanced MRI, and whole-body MRI, as well as spectral computed tomography and nuclear medicine techniques. We summarize the technical bases behind these methods, in relation to the common physiologic and pathologic processes involving the bone marrow. We present the strengths and limitations of these imaging methods and consider their added value compared with conventional imaging in assessing non-neoplastic disorders like septic, rheumatologic, traumatic, and metabolic conditions. The potential usefulness of these methods to differentiate between benign and malignant bone marrow lesions is discussed. Finally, we consider the limitations hampering a more widespread use of these techniques in clinical practice.
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Affiliation(s)
- Charbel Mourad
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Department of Diagnostic and Interventional Radiology, Hôpital Libanais Geitaoui- CHU, Beyrouth, Lebanon
| | - Aurelio Cosentino
- Department of Radiology, Hôpital Riviera-Chablais, Vaud-Valais, Rennaz, Switzerland
| | - Marie Nicod Lalonde
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Patrick Omoumi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Abbassi M, Jain A, Shin D, Arasa CA, Li B, Anderson SW, LeBedis CA. Quantification of bone marrow edema using dual-energy CT at fracture sites in trauma. Emerg Radiol 2022; 29:691-696. [PMID: 35503393 DOI: 10.1007/s10140-022-02046-0] [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: 02/02/2022] [Accepted: 04/04/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE The purpose of our study was to analyze the change in water and fat density within the bone marrow using the GE Revolution dual-energy computed tomography (DECT) platform using two-material decomposition analyses at extremity, spine, and pelvic fracture sites compared to normal bone marrow at equivalent anatomic sites in adult patients who sustained blunt trauma. METHODS This retrospective study included 26 consecutive adults who sustained blunt torso trauma and an acute fracture of the thoracolumbar vertebral body, pelvis, or upper and lower extremities with a total of 32 fractures evaluated. Two-material decomposition images were analyzed for quantitative analysis. Statistical analysis was performed using the paired t-test and Shapiro-Wilk test for normality. RESULTS There were statistically significant differences in the water and fat densities in the bone marrow at the site of an extremity, vertebral body, or pelvic fracture when compared to the normal anatomic equivalent (p < 0.01). CONCLUSION In this preliminary study, DECT basis material images, using water (calcium) and fat (calcium) decomposition illustrated significant differences in water and fat content between fracture sites and normal bone in a variety of anatomical sites.
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Affiliation(s)
- Mashya Abbassi
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA.
| | - Ashwin Jain
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
| | - Donghoon Shin
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
| | - Carlota Andreu Arasa
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
| | - Baojun Li
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
| | - Stephan W Anderson
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
| | - Christina A LeBedis
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, 820 Harrison Ave, 3rdFloor, FGH Building, Boston, MA, 02118, USA
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Li W, Zhang H, Ren L, Zou Y, Tian F, Ji X, Li Q, Wang W, Ma G, Xia S. Radiomics of dual-energy computed tomography for predicting progression-free survival in patients with early glottic cancer. Future Oncol 2022; 18:1873-1884. [PMID: 35293227 DOI: 10.2217/fon-2021-1125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 02/02/2022] [Indexed: 11/21/2022] Open
Abstract
Aim: This study aimed to predict progression-free survival (PFS) in patients with early glottic cancer using radiomic features on dual-energy computed tomography iodine maps. Methods: Radiomic features were extracted from arterial and venous phase iodine maps, and radiomic risk scores were determined by univariate Cox proportional hazards regression analysis and least absolute shrinkage and selection operator regression with tenfold cross-validation. The Kaplan-Meier method was used to evaluate the association between radiomic risk scores and PFS. Results: Patients were stratified into low-risk and high-risk groups using radiomics, the PFS corresponding rates with statistical significance between the two groups. The high-risk group showed better survival, benefiting from laryngectomy. Conclusion: Radiomics could provide a promising biomarker for predicting the PFS of early glottic cancer patients.
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Affiliation(s)
- Wenfei Li
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
- Department of Radiology, The First Hospital of Qinhuangdao, No. 258 Wenhua Road, Haigang District, Qinhuangdao, 066000, China
| | - Huanlei Zhang
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Lei Ren
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
- Department of Medical Imaging, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 88 Changling Road, Xiqing District, Tianjin, 300381, China
| | - Ying Zou
- Department of Medical Imaging, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 88 Changling Road, Xiqing District, Tianjin, 300381, China
| | - Fengyue Tian
- Department of Radiology, Affiliated Hospital of Nankai University (Tianjin No. 4 Hospital), No. 4 Weishan Road, Hexi District, Tianjin, 300222, China
| | - Xiaodong Ji
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Qing Li
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Wei Wang
- Department of Otolaryngology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Guolin Ma
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, Beijing, 100029, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
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Ghazi Sherbaf F, Sair HI, Shakoor D, Fritz J, Schwaiger BJ, Johnson MH, Demehri S. DECT in Detection of Vertebral Fracture-associated Bone Marrow Edema: A Systematic Review and Meta-Analysis with Emphasis on Technical and Imaging Interpretation Parameters. Radiology 2021; 300:110-119. [PMID: 33876973 DOI: 10.1148/radiol.2021203624] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background Dual-energy CT (DECT) shows promising performance in detecting bone marrow edema (BME) associated with vertebral body fractures. However, the optimal technical and image interpretation parameters are not well described. Purpose To conduct a systematic review and meta-analysis to determine the diagnostic performance of DECT in detecting BME associated with vertebral fractures (VFs), using different technical and image interpretation parameters, compared with MRI as the reference standard. Materials and Methods A systematic literature search was performed on July 9, 2020, to identify studies evaluating DECT performance for in vivo detection of vertebral BME. A random-effects model was used to derive estimates of the diagnostic accuracy parameters of DECT. The impact of relevant covariates in technical, image interpretation, and study design parameters on the diagnostic performance of DECT was investigated using subgroup analyses. Results Seventeen studies (with 742 of 2468 vertebrae with BME at MRI) met inclusion criteria. Pooled estimates of sensitivity, specificity, and area under the curve of DECT for vertebral body BME were 89% (95% CI: 84%, 92%), 96% (95% CI: 92%, 98%), and 96% (95% CI: 94%, 97%), respectively. Single-source consecutive scanning showed poor specificity (78%) compared with the dual-source technique (98%, P < .001). Specificity was higher using bone and soft-tissue kernels (98%) compared with using only soft-tissue kernels (90%, P = .001). Qualitative assessment had a better specificity (97%) versus quantitative assessment (90%) of DECT images (P = .01). Experienced readers showed considerably higher specificity (96%) compared with trainees (79%, P = .01). DECT sensitivity improved using a higher difference between low- and high-energy spectra (90% vs 83%, P = .04). Conclusion Given its high specificity, the detection of vertebral bone marrow edema with dual-energy CT (DECT) associated with vertebral fracture may obviate confirmatory MRI in an emergency setting. Technical parameters, such as the dual-source technique, both bone and soft-tissue kernels, and qualitative assessment by experienced readers, can ensure the high specificity of DECT. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Farzaneh Ghazi Sherbaf
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Haris I Sair
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Delaram Shakoor
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Benedikt J Schwaiger
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Michele H Johnson
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
| | - Shadpour Demehri
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287 (F.G.S., H.I.S., S.D.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (D.S., M.H.J.); Department of Radiology, NYU Grossman School of Medicine, New York, NY (J.F.); and Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany (B.J.S.)
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de Bakker CMJ, Walker REA, Besler BA, Tse JJ, Manske SL, Martin CR, French SJ, Dodd AE, Boyd SK. A quantitative assessment of dual energy computed tomography-based material decomposition for imaging bone marrow edema associated with acute knee injury. Med Phys 2021; 48:1792-1803. [PMID: 33606278 DOI: 10.1002/mp.14791] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 02/09/2021] [Accepted: 02/12/2021] [Indexed: 11/10/2022] Open
Abstract
PURPOSE This study developed methods to quantify and improve the accuracy of dual-energy CT (DECT)-based bone marrow edema imaging using a clinical CT system. Objectives were: (a) to quantitatively compare DECT with gold-standard, fluid-sensitive MRI for imaging of edema-like marrow signal intensity (EMSI) and (b) to identify image analysis parameters that improve delineation of EMSI associated with acute knee injury on DECT images. METHODS DECT images from ten participants with acute knee injury were decomposed into estimated fractions of bone, healthy marrow, and edema based on energy-dependent differences in tissue attenuation. Fluid-sensitive MR images were registered to DECT for quantitative, voxel-by-voxel comparison between the two modalities. An optimization scheme was developed to find attenuation coefficients for healthy marrow and edema that improved EMSI delineation, compared to MRI. DECT method accuracy was evaluated by measuring dice coefficients, mutual information, and normalized cross correlation between the DECT result and registered MRI. RESULTS When applying the optimized three-material decomposition method, dice coefficients for EMSI identified through DECT vs MRI were 0.32 at the tibia and 0.13 at the femur. Optimization of attenuation coefficients improved dice coefficient, mutual information, and cross-correlation between DECT and gold-standard MRI by 48%-107% compared to three-material decomposition using non-optimized parameters, and improved mutual information and cross-correlation by 39%-58% compared to the manufacturer-provided two-material decomposition. CONCLUSIONS This study quantitatively evaluated the performance of DECT in imaging knee injury-associated EMSI and identified a method to optimize DECT-based visualization of complex tissues (marrow and edema) whose attenuation parameters cannot be easily characterized. Further studies are needed to improve DECT-based EMSI imaging at the femur.
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Affiliation(s)
- Chantal M J de Bakker
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Richard E A Walker
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Bryce A Besler
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Justin J Tse
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Sarah L Manske
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - C Ryan Martin
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Stephen J French
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Andrew E Dodd
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Steven K Boyd
- Department of Radiology, Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
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Yuan Y, Lang N, Yuan H. Rapid-kilovoltage-switching dual-energy computed tomography (CT) for differentiating spinal osteolytic metastases from spinal infections. Quant Imaging Med Surg 2021; 11:620-627. [PMID: 33532262 DOI: 10.21037/qims-20-334] [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: 12/17/2022]
Abstract
Background Rapid-kilovoltage-switching dual-energy computed tomography (RDECT) is a non-invasive, alternative technique for quantitative diagnosis. This study aimed to investigate the value of RDECT for differentiating spinal osteolytic metastases (SOM) from spinal infections (SIs). Methods RDECT was performed on 29 patients with SOM and 18 patients with SIs. Both iodine-based and water-based material decomposition images were generated from the spectral CT scan. The iodine/water densities of lesions on iodine/water material-decomposition images and the CT attenuation values on traditional CT images were measured three times at different image levels, and the averages were calculated. The lesion-to-muscle ratio (LMR) and lesion-to-artery ratio (LAR) for iodine density measurements were calculated. All parameters were compared between the two groups using the two-tailed Student's t-test. A P value <0.05 was considered statistically significant. The sensitivity and specificity for differentiating SOM from SIs were determined using receiver operating characteristic curves (ROC). Results Iodine density, LMR, and LAR during the arterial phase (AP) and venous phase (VP) were all significantly higher for SOM than for SIs (all P<0.05). The water densities and traditional CT attenuation values during the AP and VP were not significantly different between the two groups. For ROC analysis, LAR during the VP (LARVP) showed the best diagnostic performance, with an area under the ROC curve (AUC) value of 0.862. When the LARVP was 0.54, the sensitivity was 82.80% and the specificity was 77.80% for differentiating SOM from SIs. Conclusions RDECT can provide additional information that may be useful for differentiating atypical SOM from SIs.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Ning Lang
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huishu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
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Zhou S, Zhu L, You T, Li P, Shen H, He Y, Gao H, Yan L, He Z, Guo Y, Zhang Y, Zhang K. In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography. Quant Imaging Med Surg 2021; 11:341-350. [PMID: 33392033 DOI: 10.21037/qims-20-367] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Osteoporosis is a common, progressive disease related to low bone mineral density (BMD). If it can be diagnosed at an early stage, osteoporosis is treatable. Quantitative computed tomography (QCT) is one of the current reference standards of BMD measurement, but dual-energy computed tomography (DECT) is considered to be a potential alternative. This study aimed to evaluate the feasibility and accuracy of phantomless in vivo DECT-based BMD quantification in comparison with QCT. Methods A total of 128 consecutive participants who underwent DECT lumbar examinations between July 2018 and February 2019 were retrospectively analyzed. The density of calcium (water), hydroxyapatite (water), calcium (fat), and hydroxyapatite (fat) [DCa(Wa), DHAP(Wa), DCa(Fat) and DHAP(Fat), respectively] were measured along with BMD in the trabecular bone of lumbar level 1-2 by DECT and QCT. Linear regression analysis was performed to assess the relationship between DECT- and QCT-derived BMD at both the participant level and the vertebral level. Linear regression models were quantitatively evaluated with adjusted R-square, normalized mean squared error (NMSE) and relative error (RE). Bland-Altman analysis was conducted to assess agreement between measurements. P<0.05 was considered statistically significant. Results Strong correlations were observed between DECT- and QCT-derived BMD at both the participant level and the vertebral level (adjusted R2 =0.983-0.987; NMSE = 1.6-2.1%; RElinear =0.6-0.9%). Bland-Altman plots indicated high agreement between both measurements. DCa(Fat) and DHAP(Fat) showed relatively similar and optimal predictive capability for QCT-derived BMD (both: adjusted R2 =0.987, NMSE =1.6%, RElinear =0.6%). Conclusions Fast kVp switching DECT enabled accurate phantomless in vivo BMD quantification of the lumbar spine. DCa(Fat) and DHAP(Fat) had relatively similar and optimal predictive capability.
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Affiliation(s)
- Shuwei Zhou
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.,The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Lu Zhu
- Department of Ultrasonography, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Tian You
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Ping Li
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Hongrong Shen
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yewen He
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Hui Gao
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Luyou Yan
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Zhuo He
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Ying Guo
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yaxi Zhang
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Kun Zhang
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.,The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
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