Article
Clinical Neurology
Friederike Schoemig, Yannick Palmowski, Igor Nikiforov, Tony Hartwig, Matthias Pumberger, Philipp Schwabe, Cornelius Jacobs
Summary: The study aimed to analyze the prevalence and characteristics of intervertebral vacuum phenomenon in patients with fracture-associated IVP of the thoracolumbar spine. It was found that FAVP occurred significantly more often in burst fractures, highlighting its potential impact on disc degeneration.
EUROPEAN SPINE JOURNAL
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Julian Pohlan, Carsten Stelbrink, Matthias Pumberger, Dominik Deppe, Friederike Schoemig, Nils Hecht, Friedemann Goehler, Bernd Hamm, Torsten Diekhoff
Summary: The study analyzed the two main components of the intervertebral disc using DECT-based collagen mapping, finding that the density of the disc decreases with age, especially in the anterior anulus fibrosus. Age-related microstructural changes in the disc were most pronounced in the AAF.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Vitali Koch, Ibrahim Yel, Leon D. Gruenewald, Sebastian Beckers, Iris Burck, Lukas Lenga, Simon S. Martin, Christoph Mader, Julian L. Wichmann, Moritz H. Albrecht, Katrin Eichler, Tatjana Gruber-Rouh, Tommaso D'Angelo, Silvio Mazziotti, Giorgio Ascenti, Thomas J. Vogl, Christian Booz
Summary: The study found that dual-energy CT (DECT) virtual noncalcium (VNCa) reconstructions demonstrated higher diagnostic accuracy and confidence in assessing thoracic disk herniation compared to standard CT.
EUROPEAN RADIOLOGY
(2021)
Article
Multidisciplinary Sciences
Kanghyun Ryu, Chena Lee, Yoseob Han, Subeen Pang, Young Hyun Kim, Chanyeol Choi, Ikbeom Jang, Sang-Sun Han
Summary: Cone-beam computed tomography (CBCT) provides 3D images with lower dosage compared to multidetector computed tomography (MDCT). However, image quality in CBCT is deteriorated by more scattering rays and image artifacts. This study proposes a novel approach to reduce artifacts while preserving details and sharpness in CBCT for precise diagnostic purposes.
Article
Multidisciplinary Sciences
Jonas Bianchi, Joao Roberto Goncalves, Antonio Carlos de Oliveira Ruellas, Julia Vieira Pastana Bianchi, Lawrence M. Ashman, Marilia Yatabe, Erika Benavides, Fabiana Naomi Soki, Lucia Helena Soares Cevidanes
Summary: This study aimed to diagnose degenerative joint disease using high-resolution CBCT images in asymptomatic and symptomatic subjects. The results showed a high number of radiographic findings in the asymptomatic control group, suggesting the need for additional imaging criteria to properly classify DJD.
Article
Multidisciplinary Sciences
Hua-Dong Zheng, Yue-Li Sun, De-Wei Kong, Meng-Chen Yin, Jiang Chen, Yong-Peng Lin, Xue-Feng Ma, Hong-Shen Wang, Guang-Jie Yuan, Min Yao, Xue-Jun Cui, Ying-Zhong Tian, Yong-Jun Wang
Summary: Low back pain has been a leading cause of disability worldwide. This study proposes a segmentation network and a quantitative method for evaluating lumbar intervertebral disc degeneration. The technique can accurately assess the severity of low back pain and provide more precise information.
NATURE COMMUNICATIONS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Choong Guen Chee, Min A. Yoon, Kyung Won Kim, Yusun Ko, Su Jung Ham, Young Chul Cho, Bumwoo Park, Hye Won Chung
Summary: The combined radiomics-clinical model showed good calibration and discrimination in predicting malignancy of vertebral compression fractures on CT. It outperformed both the radiomics score and clinical predictor model in terms of discrimination performance and accurately stratified patients into low and high risk groups.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zi-Wen Yan, Dong-Ya Li, Wang-Yi Jin, Chao-Ran Huang, Sheng Pan, Da -Lin Peng, Xing-Chen Zhang, Yong Pang, Kai-Jin Guo, Xin Zheng
Summary: The prevalence of incidental thyroid abnormalities in cervical MRI of DCS patients is 7.5%. Thyroid nodules are the most common abnormality, followed by goiters. Further ultrasound examination should be performed to determine the need for surgery.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, Ja -Young Choi, Hee-Dong Chae, Hye Jin Yoo, Jong Hyo Kim
Summary: This study utilized a deep learning algorithm for denoising and edge sharpening in low-dose lumbar spine CT images, showing that denoised 52mAs images had lower noise, improved edge sharpness, and significantly enhanced visualization of normal anatomical structures.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Medicine, General & Internal
Florian A. A. Huber, Cynthia S. S. Schmidt, Hatem Alkadhi
Summary: This study aimed to evaluate the diagnostic performance and inter-reader agreement of a novel "Darth Vader sign" for detecting spondylolysis in non-musculoskeletal abdominal CT imaging. The results showed that the Darth Vader sign demonstrated good inter-reader agreement and excellent diagnostic capabilities with high sensitivity and specificity for detecting spondylolysis.
Article
Clinical Neurology
Makenze Roberts, George Hinton, Adam J. Wells, Jorn Van Der Veken, Mariusz Bajger, Gobert Lee, Yifan Liu, Chee Chong, Santosh Poonnoose, Marc Agzarian, Minh -Son To
Summary: A deep learning algorithm has been developed to produce 3D lumbar spine CT images from MRI data alone. This study evaluates the accuracy of the synthetic lumbar spine CT images produced using the deep learning model by comparing them to real CT images. The measurements performed on the synthetic CTs showed a high level of accuracy, but the measurements on the axial reconstructed images were less accurate.
Article
Physiology
Wei Liu, Jinhua Chen, Yanan Zhang, Xu Wang, Junwen Zheng, Aibing Huang, Chunmao Chen, Jian Bian, Lei Yang, Haijun Li
Summary: This study investigated the role of 3D-DESS and CT in the diagnosis of LDH and found that 3D-DESS is of great value in diagnosing LDH in patients with special types of LDH. 3D-DESS allows direct observation of the morphology of the nerve roots, leading to improved accuracy and sensitivity in diagnosis.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ronnie Sebro, Cynthia De la Garza-Ramos
Summary: This study utilized multivariable machine learning with CT attenuation data of the lumbar spine, pelvis, and sacrum to predict osteoporosis/osteopenia. The results showed that an SVM model incorporating CT attenuation measurements from multiple bones and clinical data exhibited better performance in predicting osteoporosis/osteopenia compared to models using only the CT attenuation of a single bone.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alessandro Cannavale, Mariangela Santoni, Piergiorgio Nardis, Pierleone Lucatelli, Mario Corona, Giuseppe Cannavale, Carlo Catalano, Paolo Ricci
Summary: The role of computed tomography (CT) or magnetic resonance imaging (MRI) in assessing spondylodiscitis and identifying target structures for biopsy was evaluated in this study. The findings showed that MRI had higher sensitivity in the acute phase of spondylodiscitis and good agreement in diagnosing different phases. Specific MRI findings, such as extensive hyperintensity of vertebral body and/or disc, fractures, and paravertebral collections, were predictive factors for positive cultures.
Article
Nutrition & Dietetics
Francisco Jose Sanchez-Torralvo, Ignacio Ruiz-Garcia, Victoria Contreras-Bolivar, Inmaculada Gonzalez-Almendros, Maria Ruiz-Vico, Jose Abuin-Fernandez, Manuel Barrios, Emilio Alba, Gabriel Olveira
Summary: This study aimed to evaluate the clinical application of L3-CT-determined sarcopenia as a marker of muscle mass in cancer inpatients diagnosed with malnutrition according to the GLIM criteria and its association with 6-month mortality. The results showed that a high percentage of patients had low muscle mass, and malnourished patients according to the GLIM criteria using SMI had an increased risk of 6-month mortality. The findings suggest that CT-determined sarcopenic malnutrition can predict 6-month mortality in cancer inpatients.