Yan Xiong¹, Shuang Hu¹, Yao Zhang ¹, Donglin Wen¹, Weiyin Vivian Liu², and Xiaoming Li ^1
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ²GE Healthcare, Beijing, China

Chronic kidney disease (CKD) has a significant negative impact on bone health. However, the mechanisms of cortical bone deterioration and cortical porosity enlargement caused by CKD have not been fully described. Double-echo ultrashort echo-time magnetic resonance imaging (UTE MRI) provides the possibility of quantifying cortical porosity in vivo. The increasing CKD stages were associated with a higher PI value (P_trend < 0.001). The association of CKD stages and PI mediated 34.4% and 30.8% of the total effect by increased PTH and β-CTX, respectively. Our study revealed the internal mechanism of bone deterioration caused by CKD to some extent.

Yang Wang¹, Fengyu Sun¹, Chen Zhang², Haoran Sun¹, Dong Li¹, and Yuezeng Cai^1
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China, ²MR Scientific Marketing, Siemens Healthineers, Beijing, China

Our study investigated the feasibility of LiverLab technique, consisted of multi-echo DIXON and HISTO, to evaluate the vertebral BMFF and iron content for the diagnosis of osteoporosis. BMFF measured by multi-echo DIXON and HISTO was significantly increased in osteoporosis patients and strong negative correlation with BMD. Vertebral iron content had no difference in osteoporosis patients and no correlation with BMD. LiverLab technique, composed of multi-echo DIXON and HISTO, can quantitatively evaluate the changes in bone marrow fat content, and can be used as a potential biomarker for evaluating abnormal bone density and severity of osteoporosis.

Jessica Marie Bugeja^1,2, Ying Xia¹, Shekhar Chandra², Nicholas Murphy^3,4, Stuart Crozier², David Hunter^3,5, Jurgen Fripp¹, and Craig Engstrom^6
1AEHRC, CSIRO, Brisbane, Australia, ²School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia, ³Institute of Bone and Joint Research, University of Sydney, Sydney, Australia, ⁴Department of Orthopaedic Surgery, John Hunter Hospital, Newcastle, Australia, ⁵Department of Rheumatology, Royal North Shore Hospital, St Leonards, Australia, ⁶School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia

Evaluating hip shape change with statistical shape models (SSMs) has been reported as a biomarker for OA incidence, progression and end-stage outcomes. However, there have been few MR studies using 3D SSMs for assessing proximal femur shape, encompassing the femoral head-neck region, in patients with conditions such as FAI. To the best of our knowledge, we present the first study to use focused shape models from 3D MR hip images to assess a focal region of (clinical) interest for cam morphology evaluation in patients classified as having an ‘inadequate’, ‘borderline’ or ‘satisfactory’ surgical outcome as determined from expert surgical review.  

Shutian ZHAO¹, Fan XIAO¹, Siyue LI¹, Dόnal G. Cahill¹, James F. Griffith¹, and Weitian CHEN^1
1Imaging and Interventional Radiology, CUHK lab of AI in radiology (CLAIR), Department of imaging and interventional radiology, The Chinese university of Hong Kong, Hong Kong SAR, China

We propose a deep learning denoising network with rapid 2-NEX acquisitions that can improve structure detail on rapid acquisition 3D FSE knee MR images. We investigated and compared this method to both conventional and deep learning methods. We demonstrated that this new method has the potential to suppress noise while improving structural detail on 3D FSE knee MR images.

Binbin Yang¹, Xiao cheng Wei², and Xiao wen Ma^1
1Honghui Hospital,Xi'an jiaotong University, Xi'an, China, ²GE Healthcare, Beijing, China

we aim to to explore the relationship between fat infiltration in quadriceps femoris with patellofemoral arthritis，It was concluded that IDEAL-IQ canbe a tool for quantification and prediction of patellar cartilage defect progression

Chong Tian¹, Xinge Cheng², Rongpin Wang¹, Chunqi Qian³, Xianchun Zeng¹, and Lisha Nie^4
1Guizhou Provincial People's Hospital, Guiyang,Guizhou, China, ²Zunyi Medical University, Guiyang,Guizhou, China, ³Michigan State University, East Lansing, MI, USA, MI, United States, ⁴GE Healthcare, MR Research China, Beijing, Beijing,China, China

MRI is considered to be the reference method for the imaging and understanding of temporomandibular disease (TMD) , but it provides little or no detectable signal from cortical bone. A disc-shaped wireless detector (WD), which is more suitable for body superficial tissue or organ examination, is used to overcome the sensitivity limitation of conventional MRI in condyle imaging. This study aims to observe the capability of WD in showing the bone changes of TMD condyle on PDWI. Compared with the traditional MRI, WD  is suitable for imaging the condyle bone changes of TMD patients, and significantly improves the image quality.

Xingyao Yu¹, Weiyin Vivian Liu², Chao Liu³, Hu Chen³, Jingyu Jiang¹, Qianqian Feng³, and Lin Xu^3
1Biomedical Engineering College, Hubei University of Medicine, Shiyan Hubei, China, ²GE Healthcare, Beijing, China, ³Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan Hubei, China

MRI is reckoned as the most sensitive tool for monitoring changes such as synovitis and bone marrow edema at early stage of rheumatoid arthritis (RA)[1, 2]. Our results showed that ZTE-MRI can better precisely detect bone erosion compared with fs PD as well as DR and reflect RA degree via the volume percentage of bone erosion over carpal bone. Overall, ZTE-MRI could be an alternative to routine PDWI in clinic practice to help clinicians make better diagnosis without influenced by bone marrow edema, joint effusion and thickening of the synovial membrane and also offer articular function assessment as radiography.

Woo Young Kang¹, Suk-joo Hong¹, Hyeonbin Lee¹, Ji-Hoon Bae¹, Zepa Yang¹, and In-Seong Kim^2
1Korea University Guro Hospital, Seoul, Korea, Republic of, ²Siemens Healthcare, Seoul, Korea, Republic of

MRI is a valuable tool for to assess osteoarthritis (OA) progression. Although OA is a progressive degenerative disease involving the entire joint structure, cartilage degeneration is the central hallmark of the disease. MRI enables quantitative and semiquantitative assessment of longitudinal changes in articular cartilage morphology and composition in knee OA. We investigated the association between MRI biomarkers and knee OA progression over 12 months.

Jihun Kwon¹, Takayuki Sakai², Masami Yoneyama¹, Daichi Murayama², Quin Lu³, Arjun D Desai⁴, Akshay S Chaudhari⁵, and Marc Van Cauteren^6
1Philips Japan, Tokyo, Japan, ²Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan, ³Philips Healthcare NA, San Francisco, CA, United States, ⁴Electrical Engineering, Stanford University, Stanford, CA, United States, ⁵Radiology, Stanford University, Stanford, CA, United States, ⁶Philips Healthcare, Best, Netherlands

Multi-Interleaved X-prepared TSE with inTUitive RElaxometry (MIXTURE) is a recently developed 3D magnetization-prepared turbo spin-echo sequence. MIXTURE provides 3D high-resolution isotropic knee morphometry and T1ρ relaxometry in a clinically reasonable scan time. In this study, we integrated MIXTURE with the Deep Open-Source Medical Analysis (DOSMA) framework for deep learning-powered musculoskeletal MR image analysis to expand its clinical usage. By exploiting the advantage of both techniques, we show that the combination of MIXTURE and DOSMA enables a comprehensive whole knee MR exam including 3D proton density-weighted isotropic submillimeter imaging, T2- and T1ρ-mapping, and standardized image analysis techniques.