Article
Radiology, Nuclear Medicine & Medical Imaging
Joost Verschueren, Susanne M. Eijgenraam, Stefan Klein, Dirk H. J. Poot, Sita M. A. Bierma-Zeinstra, Juan A. Hernandez Tamames, Piotr A. Wielopolski, Max Reijman, Edwin H. G. Oei
Summary: This study found that T-2 mapping can be used for quantifying cartilage degeneration in a multicenter setting with good longitudinal reproducibility. There were evident differences in T-2 values across centers, both in vivo and in phantom scans, suggesting that absolute T-2 values from different centers should not be pooled in multicenter trials.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Orthopedics
Rafeek Thaha, Sandeep P. Jogi, Sriram Rajan, Vidur Mahajan, Amit Mehndiratta, Anup Singh
Summary: A semi-automatic framework was developed for quantitative analysis of femur cartilage using MR images, showing potential for classification into AS, early OA, and advanced OA groups. The study demonstrated high reproducibility of T2 values and sensitivity and specificity in differentiating AS volunteers from OA group.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2022)
Article
Medicine, General & Internal
Yun-Sic Bang, Da Yeong Lee, Taeyeun Kim, Min-Ying Su, SoYoon Park, Sooho Lee, Jungmin Yi, Hyunhae Kim, Young Uk Kim
Summary: The study demonstrates that GHJCCSA and GHJCT can be used as morphological parameters to assess glenohumeral osteoarthritis, with GHJCCSA being a more sensitive measurement.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yan-Ping Xue, Hyungseok Jang, Michal Byra, Zhen-Yu Cai, Mei Wu, Eric Y. Chang, Ya-Jun Ma, Jiang Du
Summary: The study developed a fully automated method for segmenting and mapping full-thickness cartilage using quantitative 3D ultrashort echo time MR imaging and a U-Net convolutional neural networks model. The method showed reliable results and could provide a comprehensive assessment of articular cartilage. Significant changes in quantitative biomarkers were observed in participants with osteoarthritis compared to normal controls.
EUROPEAN RADIOLOGY
(2021)
Article
Orthopedics
M. Jarraya, A. Guermazi, J. W. Liew, I. Tolstykh, J. A. Lynch, P. Aliabadi, D. T. Felson, M. Clancy, M. Nevitt, C. E. Lewis, J. Torner, T. Neogi
Summary: The aim of this study was to report the prevalence of CT-detected intra-articular mineralization. It was found that 9.8% of knees had intra-articular mineralization based on CT imaging. Mineralization predominantly occurred in the three compartments of the joint, especially the patellofemoral compartment.
OSTEOARTHRITIS AND CARTILAGE
(2023)
Article
Cardiac & Cardiovascular Systems
Sebastian Militaru, Roman Panovsky, Vincent Hanet, Mihaela Silvia Amzulescu, Helene Langet, Mary Mojica Pisciotti, Anne-Catherine Pouleur, Jean-Louis J. Vanoverschelde, Bernhard L. Gerber
Summary: The study compared the accuracy of 3 different FT software in LV myocardial strain measurement, finding good consistency in GLS and GCS evaluation, while the consistency of GRS varied. In regional strain evaluation, there were larger differences between different vendors, especially for RS, and the diagnostic performance for regional strain analysis varied significantly.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
(2021)
Article
Orthopedics
Benjamin Andress, Jason H. Kim, Hattie C. Cutcliffe, Annunziato Amendola, Adam P. Goode, Shyni Varghese, Louis E. DeFrate, Amy L. McNulty
Summary: The study established baseline expression profiles and dedifferentiation patterns of inner and outer zone primary meniscus cells, and evaluated the utility of PEGDA and GelMA polymer hydrogels to reverse dedifferentiation trends for long-term meniscus cell culture. The results showed that expression levels of meniscus cell phenotype genes were significantly modulated by varying the ratio of polymer components in the hydrogels, allowing for tunable materials for phenotype restoration, meniscus cell culture, and tissue engineering applications.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2021)
Article
Orthopedics
Jennifer Cummings, Kenneth Gao, Vincent Chen, Alejandro Morales Martinez, Claudia Iriondo, Francesco Caliva, Sharmila Majumdar, Valentina Pedoia
Summary: Cartilage thickness change is a biomarker of osteoarthritis pathogenesis, and understanding its patterns in health and disease is important. This study introduces a new analysis method using functional connectivity to explore these patterns. The study analyzes 1186 knees that did not develop osteoarthritis and presents a model of cartilage thickness change related to healthy aging. Differences are observed between males and females, as well as the impact of body mass index (BMI). Variations are also found between knees with and without osteoarthritis, with some differences potentially explained by sex, BMI, and knee alignment. This work highlights the connectome as a useful tool for studying tissue change dynamics.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
C. Spink, F. O. Henes, L. Da Cruz, M. Sinn, C. Behzadi, G. Schoen, G. H. Welsch, G. Adam, P. Bannas, K. J. Maas
Summary: Compared professional female volleyball players and healthy controls, it was found that the meniscal T1ρ relaxation times of the athletes were prolonged, potentially indicating early degenerative meniscal changes. T1ρ may serve as a sensitive biomarker for detecting early compositional meniscal alterations in athletes.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Orthopedics
Claudia Iriondo, Felix Liu, Francesco Caliva, Sarthak Kamat, Sharmila Majumdar, Valentina Pedoia
Summary: This study characterizes the trajectory of cartilage thickness changes over 8 years in healthy individuals and discovers associations between the dynamics of cartilage changes and knee osteoarthritis (OA) incidence. Nonstable trajectories in cartilage thickness were found to have higher adjusted odds of OA incidence compared to stable trajectories.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2021)
Article
Orthopedics
G. B. Joseph, C. E. McCulloch, M. C. Nevitt, T. M. Link, J. H. Sohn
Summary: In this study, a machine learning-based prediction model for incident radiographic osteoarthritis (OA) of the knee over 8 years was developed. The results showed that a 10-predictor model including MRI parameters and other relevant factors could effectively predict the occurrence of osteoarthritis over 8 years.
OSTEOARTHRITIS AND CARTILAGE
(2022)
Article
Medicine, General & Internal
Feng Zhou, Linyang Chu, Xuqiang Liu, Zihao He, Xuequan Han, Mengning Yan, Xinhua Qu, Xiaofeng Li, Zhifeng Yu
Summary: This study compared the subchondral microstructural differences and cartilage damage between OA and OP-OA patients, revealing that OP-OA patients had significantly decreased plate and rod trabeculae and more serious cartilage damage compared to OA patients. Additionally, bone volume fraction, plate bone volume fraction, and plate trabecular number were significantly correlated with cartilage damage in both OA and OP-OA patients.
FRONTIERS IN MEDICINE
(2021)
Article
Orthopedics
Shogo Okada, Masashi Taniguchi, Masahide Yagi, Yoshiki Motomura, Sayaka Okada, Yoshihiro Fukumoto, Masashi Kobayashi, Kyoseki Kanemitsu, Noriaki Ichihashi
Summary: This study aimed to investigate whether altered cartilage echo intensity is associated with knee osteoarthritis (OA) severity and whether the alteration occurs before thinning of the femoral cartilage.
KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY
(2023)
Article
Orthopedics
Nir Altschuler, Kenneth R. Zaslav, Berardo Di Matteo, Seth L. Sherman, Andreas H. Gomoll, Scott A. Hacker, Peter Verdonk, Oliver Dulic, Jenel M. Patrascu, Andrew S. Levy, Dror Robinson, Elizaveta Kon
Summary: The study compared the clinical outcomes of an aragonite-based osteochondral implant with a control group in patients with knee joint surface lesions. The implant group showed superior results in terms of clinical outcomes, defect fill, and failure rate compared to the control group.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2023)
Article
Orthopedics
Sophie Rapagna, Bryant C. Roberts, Lucian B. Solomon, Karen J. Reynolds, Dominic Thewlis, Egon Perilli
Summary: This study found significant correlations between joint loading indices and regional cartilage thickness values in end-stage knee OA subjects. Higher regional loads corresponded to thinner cartilage, suggesting a complementary bone-cartilage interplay in response to loading.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2022)
Review
Rheumatology
Ariane L. Herrick, Michael Berks, Chris J. Taylor
Summary: This review examines the potential and challenges of quantitative nailfold capillaroscopy, particularly in the context of systemic sclerosis. It highlights the importance of quantitative analysis for precise discrimination between normal and abnormal capillaries and reliable measurement of disease progression and treatment response. Suggestions for future steps include increased utilization of this technique in clinical practice and its potential as a biomarker in large-scale prospective research studies.
Review
Medicine, General & Internal
Irma Mahmutovic Persson, Karin von Wachenfeldt, John C. Waterton, Lars E. Olsson
Summary: Translational imaging biomarkers are essential for detecting and managing drug-induced interstitial lung disease. A systematic review of animal models using various imaging modalities shows similarities in pathological changes resembling DIILD, such as inflammation and fibrosis. Most studies also included other biomarkers and/or histological confirmation of imaging results.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
James W. MacKay, Faezeh Sanaei Nezhad, Tamam Rifai, Joshua D. Kaggie, Josephine H. Naish, Caleb Roberts, Martin J. Graves, John C. Waterton, Robert L. Janiczek, Alexandra R. Roberts, Andrew McCaskie, Fiona J. Gilbert, Geoff J. M. Parker
Summary: K-trans demonstrated the best test-retest repeatability, discrimination between OA and HV, and responsiveness compared to IAUC(60) and VEP. Biomarkers derived from semiautomatic segmentation outperformed those derived from manual segmentation in all aspects. These findings suggest that K-trans is the optimal DCE-MRI biomarker for use in experimental medicine studies.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
John Charles Waterton
Summary: Research indicates that since 1992, studies have shown that the median between-subject coefficient of variation for normal liver longitudinal water proton relaxation rate R-1 is 7.4%, with half of the studies reporting a deviation of 8.0% or less from the model.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2021)
Article
Computer Science, Artificial Intelligence
Xinghui Dong, Chris J. Taylor, Tim F. Cootes
Summary: This study introduces an unsupervised local deep feature learning method based on image segmentation, aiming to extract useful features from images. By utilizing pseudo-labels and training algorithms with deep convolutional neural networks, the proposed unsupervised method achieves performance close to supervised learning.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Automation & Control Systems
Xinghui Dong, Christopher J. Taylor, Tim F. Cootes
Summary: In the aerospace manufacturing industry, an automatic inspection system has been developed to identify defects in linear thin welds, aiming to reduce the workload for human inspectors. Experimental results show that the system can accurately locate welds and detect 80% of defects. Additionally, the system produces promising results on publicly available data sets.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
John C. Waterton
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sirisha Tadimalla, Daniel J. Wilson, David Shelley, Gavin Bainbridge, Margaret Saysell, Iosif A. Mendichovszky, Martin J. Graves, J. Ashley Guthrie, John C. Waterton, Geoffrey J. M. Parker, Steven P. Sourbron
Summary: This study aimed to measure the bias, repeatability, and reproducibility of three-dimensional variable flip angle (VFA) T-1 mapping in the liver. By scanning eight healthy volunteers twice, the study found that the bias and repeatability of VFA T-1 mapping in the liver are high, with small relative errors, similar to findings in other organs.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Automation & Control Systems
Xinghui Dong, Christopher J. Taylor, Tim F. Cootes
Summary: This study proposes a multitask deep one-class CNN for defect classification, eliminating the need for abnormal images and annotated data during training, and utilizing feature representation learning from normal images. The approach outperforms counterparts trained using a two-stage method in defect detection, achieving results nearly as good as the supervised method without using annotated data. The promising results are attributed to the advantages of multitask learning.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Rheumatology
Martin Eden, Sarah Wilkinson, Andrea Murray, Praveen Gurunath Bharathi, Andy Vail, Chris J. Taylor, Katherine Payne, Ariane L. Herrick
Summary: There are barriers to the use of nailfold capillaroscopy as a diagnostic tool for patients with Raynaud's phenomenon in UK rheumatology centers, including lack of equipment, image acquisition experience, and image interpretation expertise. Most rheumatologists are interested in an internet-based standardized automated system for reporting nailfold capillaroscopy images.
Article
Engineering, Biomedical
Lik-Kwan Shark, Wei Quan, Michael A. Bowes, John C. Waterton, John Goodacre
Summary: This study aims to validate acoustic emission (AE) as a reliable biomarker for evaluating knee joint disease by analyzing its relationship with magnetic resonance imaging (MRI). The study found a strong inverse relationship between AE and cartilage thickness in deteriorated knee joints. AE shows promise as a low-cost, non-invasive biomarker for the management of knee joint disease.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Rheumatology
Praveen Gurunath Bharathi, Michael Berks, Graham Dinsdale, Andrea Murray, Joanne Manning, Sarah Wilkinson, Maurizio Cutolo, Vanessa Smith, Ariane L. Herrick, Chris J. Taylor
Summary: This study aimed to develop and validate a fully automated image analysis system for nailfold capillaroscopy in SSc diagnosis. By mimicking the image interpretation strategies of SSc experts, deep learning networks were used to detect and measure each capillary in the distal row of vessels. The results showed that the fully automated analysis using deep learning achieved diagnostic performance at least as good as SSc experts and is sufficiently robust to work with low-cost digital microscope images.
Article
Multidisciplinary Sciences
Sarah Wilkinson, James Cummings, Sakif Zafar, Martin Kozar, Joanne Manning, Graham Dinsdale, Michael Berks, Christopher Taylor, Mark Dickinson, Ariane L. Herrick, Andrea K. Murray
Summary: This study used photoacoustic imaging to examine the digital arteries in patients with SSc and healthy controls. The results showed that vascular volume was similar between the two groups, but digital artery oxygenation was decreased in patients with SSc, indicating a functional deficit.
SCIENTIFIC REPORTS
(2022)
Article
Pharmacology & Pharmacy
Nicola Melillo, Daniel Scotcher, J. Gerry Kenna, Claudia Green, Catherine D. G. Hines, Iina Laitinen, Paul D. Hockings, Kayode Ogungbenro, Ebony R. Gunwhy, Steven Sourbron, John C. Waterton, Gunnar Schuetz, Aleksandra Galetin
Summary: This study used a physiologically-based pharmacokinetic (PBPK) modeling to predict changes in the metabolism of Gadoxetate caused by different drugs. The results showed that Ciclosporin and Rifampicin significantly decreased the concentration of Gadoxetate in the liver. The effects of other drugs were marginal.
Article
Oncology
Alan Jackson, Ryan Pathak, Nandita M. deSouza, Yan Liu, Bart K. M. Jacobs, Saskia Litiere, Maria Urbanowicz-Nijaki, Catherine Julie, Arturo Chiti, Jens Theysohn, Juan R. Ayuso, Sigrid Stroobants, John C. Waterton
Summary: We hypothesised that the change in apparent diffusion coefficient (ADC) on magnetic resonance imaging (MRI) after 14 days of treatment could serve as a proxy for tumour regression grade (TRG) on pathology. However, our results showed no significant correlation between ADC and TRG or other measures of tumour response. This suggests that ADC is not a reliable biomarker for metastatic colorectal cancer.