Weixin He¹, Qi Zeng¹, Ziwei Zhang¹, Xia Zhu¹, Zhaoshu Huang², Lisha Nie³, and Lingling Song^1
1Affiliated Hospital of Guizhou Medical University, Guiyang, China, ²592159673@qq.com, Guiyang, China, ³GE Healthcare, MR Research China, Beijing, China

The current study aims to investigate the application value of ADC in Bone Contusions and Bone Marrow Lesions in Osteoarthritis of Knee Joint. It was concluded that ADC value has the potential value to differentiate the two kinds of lesions.

Jie Zheng¹, Sara Gharabaghi², Ran Li¹, Yongsheng Chen³, Hongyu An¹, E Mark Haacke², Mohamed A Zayed¹, and Mary K Hastings^1
1Washington University in St. Louis, St. Louis, MO, United States, ²MR Innovations Inc, Bingham Farms, MI, United States, ³Wayne State University, Detroit, MI, United States

The purpose of this study is to investigate whether individuals with diabetes mellitus and incompressible arteries will have lower skeletal muscle microcirculation during a moderate isometric exercise. Healthy volunteers, diabetes with normal artery, and diabetes with incompressible arteries underwent MR angiography and calcification imaging, and skeletal muscle microcirculation imaging at rest and during an isometric contraction exercise. Significantly lower perfusion reserve and its association with higher ABI were observed in diabetes with incompressible arteries. Despite lack of apparent arterial stenosis, calcification can be readily visualized in 2 patients.

Brian-Tinh Duc Vu^1,2, Brandon Jones^1,2, Winnie Xu², Gregory Chang³, and Chamith Rajapakse^2,4
1Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, ²Radiology, University of Pennsylvania, Philadelphia, PA, United States, ³Radiology, Center for Biomedical Imaging, New York University, New York, NY, United States, ⁴Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Retrospective compressive sensing techniques demonstrate promise accelerating acquisition of high-resolution images of the femur while maintaining sufficient image quality to assess fracture risk. While the trabecular bone microstructure was preserved at an undersampling rate of 30%, lower sampling rates of 10% and 5% exhibited visually apparent artifacts and image degradation. Similarly, bone stiffness at 30% resembled fully sampled data but the error increased as sampling rate decreased. Nevertheless, the results show that compressive sensing is a promising candidate for accelerating the acquisition rate, and further prospective studies are needed to further validate this finding.

Anmol Monga¹, Dimitri Martel¹, Stephen Honig², and Gregory Chang^1
1Department of Radiology, NYU Langone Health, New York, NY, United States, ²Osteoporosis Center, Hospital for Joint Disease, NYU Langone Health, New York, NY, United States

In this preliminary study we aim to analyze the relationship of first-order textural feature of Fat, water, Fat Fraction maps, clinical features (Age, height, and weight) and BMD (Hip, Spine and Femoral Neck). Radiomic features calculated on  Fat parametric maps explains variability in Bone Mineral Density to higher extend than  water and fat fraction parametric maps.

Saeed Jerban¹, Yajun Ma¹, Zhao Wei¹, Meghan Shen¹, Amir Masoud Afsahi¹, Zubiad Ibrahim¹, Alecio Lombardi^1,2, Douglas G Chang³, Eric Y Chang^1,2, and Jiang Du^1
1Radiology, University of California, San Digeo, La Jolla, CA, United States, ²Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States, ³Orthopaedic Surgery, University of California, San Digeo, La Jolla, CA, United States

Assessment of water and collagen content in bone is missing from DEXA evaluation, in standard osteoporosis diagnosis. Bone signals in ultrashort echo time MRI (UTE-MRI) and inversion recovery UTE-MRI against a known external reference signal were used to measure total, bound, and pore water proton densities. Macromolecular proton density was estimated by multiplying total water proton density with macromolecular fraction derived from UTE magnetization transfer (UTE-MT) modeling. The UTE-evaluated MRI measures demonstrated significantly reduced collagen and increased water content in the tibia of patients with osteoporosis and osteopenia compared with healthy subjects. Hip T-scores showed significant correlation with UTE-MRI measures.

jianfang liu¹ and huishu yuan^1
1peking university third hospital, beijing, China

We aim to develop a radiomics model based on MRI to predict high-risk cytogenetics (HRC) status in patients with multiple myeloma (MM) and identify optimal machine learning methods. We retrospectively analyzed 89 patients’ (37 HRC, 52 non-HRC) radiomics features extracted from fat suppression T2W and TIW image. The following classification methods, including, support vector machine, random forest, logistic regression (LR) and decision tree were used to construct radiomics models. LR model showed the highest performance with an AUC of 0.82 ± 0.02. Radiomics model based on LR classifier can be used to predict HRC status in patients with MM effectively.

Sara Ramezanpour¹, Thanat Kanthawang ^1,2, John Lynch ³, Thomas M Link ¹, and Gabby B Joseph^1
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ²Department of Radiology, Faculty of Medicine, Chiang Mai University, Thailand, Chiang Mai, Thailand, ³Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States

Synovial inflammation is a well-known risk factor of osteoarthritis (OA). Several semi-quantitative scores have been developed to grade synovitis using non-contrast enhanced MRI studies of the knee. However, the role of inflammatory processes in the progression of knee OA is yet to be fully understood. One hundred and eighty individuals with right knee MRIs at baseline, 2 and 4 years were studied using MRI-based semi-quantitative synovitis scores measuring presence/absence as well as severity of synovitis Subjects with sustained synovitis had greater progression of meniscus, bone marrow and cartilage abnormalities compared to controls without sustained synovitis.

Alecio Lombardi^1,2, Jonathan Wong^1,2, Rachel High^1,2, Ya-Jun Ma², Adam Searleman², Saeed Jerban², Qingbo Tang^1,2, Jiang Du^1,2, Patrick Frost^3,4, and Eric Y. Chang^1,2
1Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States, ²Radiology, University of California, San Diego, CA, United States, ³Greater Los Angeles Veteran Administration Healthcare System, Los Angeles, CA, United States, ⁴University of California, Los Angeles, CA, United States

Multiple myeloma (MM) is a malignant plasma cell disease. Adaptive responses to hypoxia may be an essential element in its progression. The purpose of this study was to determine the feasibility of acidoCEST MRI for pHe measurement on a mouse model of MM with comparison with GLUT1 staining.

Yitong Li¹, Shuang Hu¹, Weiyin Vivian Liu², and Xiaoming Li^1
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ²MR Research, GE Healthcare, Beijing, China

Detection of sacroiliac joint (SIJ) bone erosions may improve diagnostic performance of axial spondyloarthritis (axSpA) as CT is the gold standard. Zero echo time (ZTE) MRI technique can acqire CT-like bone contrast and has been applied to bone imaging of many other body parts. Our research explored the ability of ZTE to detect SIJ bone erosions and conduct comparison of ZTE and conventional T1-weighted fast spin echo (T1 FSE). We found that ZTE had superior detection performance to T1 FSE and might be an effective supplement to routine MRI protocol in SIJs.

Yu Song¹, Qingwei Song², Yingkun Guo¹, Gang Ning¹, and Xuesheng Li^1
1Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China, ²the First Affiliated Hospital of Dalian Medical University, Dalian, China

Osteoporosis is a progressive metabolic bone lesion characterized by a decrease in bone mass per unit volume, which results in increased risk of bone fractures. Noninvasive and reliable assessment of osteoporosis is essential for clinical diagnosis and treatment. Studies have reported that precise measurement of fat content in the bone marrow is a biomarker for quantifying osteoporosis. IDEAL-IQ is a method used for quantitative measurement of fat fraction and iron content related parameters by multi-echo acquisition.

Ke Zhang¹ and Guobin Hong^1
1Radiology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China

The current diagnosis of the sacroiliac joint lesions with axSpA is most concentrated on qualitative or semi-quantitative methods.There is an urgent need for a quantitative method that can objectively and accurately evaluate the severity of the disease.Synthetic MRI(MAGiC) can generate multiple contrast images and quantitative maps simultaneously based on the same scan.In this study the synthetic MRI can achieve similar qualitative diagnostic performance in detection of  sacroiliac joint lesions compared with conventional MRI.And it could be used for distinguishing BME and fat metaplasia.

Agazi Samuel Tesfai¹, Johannes Fischer¹, Ali Caglar Özen^1,2, Patrick Eppenberger³, Lena Öhrström³, Frank Rühli³, Ute Ludwig¹, and Michael Bock^1
1Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, ²German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany, ³Institute of Evolutionary Medicine, Faculty of Medicine, University of Zurich, Zurich, Switzerland

MR images of a child mummy were acquired on a clinical 3T system using a dedicated RF coil with optimized RF switching hardware and 3D UTE sequence. In addition, dual-energy CT images were sampled and co-registered to compare MRI signal intensities and T2* relaxation times with CT Hounsfield Units and effective atomic numbers in bone, soft tissue and embalming material.

WANG BIN¹, TAN HUI¹, HE Taiping¹, YU Nan¹, and WANG Shaoyu^2
1Shaanxi University of Chinese Medicine, SHAANXI, China, ²Siemens Healthineers, shanghai, China

We attempted to explore the relationship between bone markers (including bone formation and bone absorption) and cartilage, meniscus morphology, and WORMS socres in patients with osteoarthritis.

Miyuki Takasu¹, Makoto Iida¹, Yasutaka Baba², Yuji Akiyama¹, Yuji Takahashi¹, Takashi Abe³, and Kazuo Awai^1
1Department of Diagnostic Radiology, Hiroshima University Hospital, Hiroshima, Japan, ²Department of Radiology, International Medical Center, Saitama Medical University, Saitama, Japan, ³Department of Radiology, Nagoya University Hospital, Aichi, Japan, Nagoya, Japan

We assessed the feasibility of a method of radiomic analysis based on machine learning (ML) and lumbar MRI to differentiate between MDS and aplastic anemia (AA). Regions of interest were drawn in the L3 vertebral body on the mid-sagittal images of sagittal T1-weighted and STIR images of patients with MDS (n=62) or AA (n=78) from six institutions. The model of ML with logistic regression resulted in the best performance for differentiating MDS from AA when using T1-weighted images. The model was not predictive for STIR or concatenated images. The radiomics-based ML model enabled the differentiation of MDS and AA.

Kaifang Liu¹, Jie Meng¹, and Zhengyang Zhou^1
1Departments of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

Thirty patients with RA and 10 patients suspected of RA were enrolled to explore the application value of DKI in the noninvasive identification of synovitis in hand arthritis. The suspected synovitis or joint effusion was scored on a scale of 0 (joint effusion) to 3 (mild, moderate, severe synovitis), referring to RAMRIS (RA-MRI-Scoring) system. ADC, D, and K from DKI were recorded and compared. There were significant differences in ADC, D, and K values among different enhancing degree scores. The diagnostic performance provided by the D values is similar to the ADC value and higher than the K value.

Jacob Thoenen¹, James W. MacKay^2,3, Kathryn J. Stevens¹, Tom D. Turmezei⁴, Akshay Chaudhari¹, Lauren E. Watkins¹, Brian A. Hargreaves¹, Garry E. Gold¹, and Feliks Kogan^1
1Department of Radiology, Stanford University, Stanford, CA, United States, ²Department of Radiology, University of Cambridge, Cambridge, United Kingdom, ³Norwich Medical School, University of East Anglia, Norwich, United Kingdom, ⁴Department of Radiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom

T1-weighted contrast-enhanced MRI (CE-MRI) is used to evaluate synovitis, but fluctuations in severity of synovial inflammation may be slow to manifest as volumetric changes seen on CE-MRI. We compared metabolic activity using FDG-PET to CE-MRI synovitis gradings, MOAKS effusion- and Hoffa-synovitis gradings, and the transfer constant K^trans in the overall synovial region and four subregions. Moderate to very strong correlation was seen between maximum FDG uptake (SUV_max) and corresponding synovitis grades, MOAKS effusion synovitis, and corresponding regional median K^trans both within the entire synovium and in four synovial subregions, with the exception of median K^trans at one subregion.

Nan Zhang¹, Qingwei Song², Ailian Liu², Renwang Pu², Haonan Zhang², Jiazheng Wang³, and Liangjie Lin^3
1The First Affilliated Hospital of Dalian Medical University, Dalian, China, ²The First Affiliated Hospital of Dalian Medical University, Dalian, China, ³Philips Healthcare, Beijing, China, Beijing, China

2D scans remain as standard for routine examination of joint lesions due to the short scan time. This study aims to explore feasibility of compressed SENSE with different acceleration factors in 3D high-resolution PD weighted imaging of knee joint.

Madeleine A. Gao¹, Ek T. Tan¹, John Neri¹, Bin Lin¹, Alissa J. Burge¹, Hollis G. Potter¹, Kevin M. Koch², and Matthew F. Koff^1
1Radiology and Imaging, Hospital of Special Surgery, New York, NY, United States, ²Medical College of Wisconsin, Milwaukee, WI, United States

The classification of synovial reactions caused by adverse local tissue reactions or prosthetic joint infections in total hip arthroplasty patients has remained a challenge due to the in-plane and through-plane distortions caused by metallic components. MAVRIC-based diffusion weighted imaging (DWI) is an innovative MRI technique sensitive to microstructural fluid changes and utilizes apparent diffusion coefficient values for the differentiation of diseased and non-diseased tissues. This study evaluated the effectiveness of MAVRIC-based DWI and T₂ mapping in differentiating between types of synovial reactions. Our DWI ADC biomarker showed promise in differentiating between normal and abnormal synovial reaction subtypes within THA patients. 

Tsutomu Inaoka¹, Masayuki Sugeta¹, Noriko Kitamura¹, Tomoya Nakatsuka¹, Rumiko Ishikawa¹, Takamitsu Uchi¹, Rui Iwata¹, Akinori Yamamoto¹, Hisanori Tomobe¹, Ryosuke Sakai¹, Hidetoshi Yamana¹, Shusuke Kasuya¹, and Hitoshi Terada^1
1Radiology, Toho University Sakura Medical Center, Sakura, Japan

MAVRIC-SL enabled to improve the image quality by decreasing susceptibility artifacts and the assessment of periprosthetic joint infection after joint arthroplasty. Joint effusion, soft-tissue fluid collection, and soft-tissue edema were suggestive of periprosthetic joint infection. Soft-tissue fluid collection and soft-tissue edema were indicative of therapeutic surgical intervention for periprosthetic joint infection. Using MAVRIC-SL, MRI can become a useful tool to suggest periprosthetic joint infection in arthroplasty patients and to determine the management of periprosthetic joint infection.

Hui Tan¹, Bin Wang¹, Wulin Kang¹, Nan Yu¹, Yong Yu¹, Shaoyu Wang², Yue Li¹, and Tuona Di^1
1Shaanxi University of Chinese Medicine, Xianyang, China, ²Siemens Healthineers, Shanghai, China

This study aimed to investigate the role of IVIM in assessing infrapatellar fat pad high signal intensity in patients with osteoarthritis. Totally 43 patients with mild to moderate (K/L score = 1,2 and 3) KOA were included. The results show that D value, VAS, WOMAC, K/L score with T2FS-hyperintense regions were significantly higher than those without T2FS-hyperintense regions. Furthermore, D value was significantly positive associated with VAS and K/L score.