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- Volume 20, Issue 1, 2024
Current Medical Imaging - Volume 20, Issue 1, 2024
Volume 20, Issue 1, 2024
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Feasibility Study of Combining Wall Shear Stress and Elastography to Assess the Vascular Status of Carotid Artery
Authors: Wenjing Gao, Yinghui Dong, Shaofu Hong, Di Song, Mengmeng Liu, Zhanghong Wei, Yigang Du, Shuangshuang Li, Jinfeng Xu and Fajin DongIntroduction At present, early detection of the potential risk of atherosclerosis and prevention is of great significance to reduce the occurrence of stroke. Aim This study aims to explore the value of combining the wall shear stress measured by ultrasound vector flow imaging technique and sound touch elastography of common carotid artery in normal adults using the Mindray Resona 7 ultrasound system. Methods Forty volu Read More
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Effectiveness of the Neuroimaging Techniques in the Recognition of Psychiatric Disorders: A Systematic Review and Meta-analysis of RCTs
More LessBackground Neuroimaging has helped us learn about the stages of brain development from infancy to maturity. Neuroimaging helps physicians diagnose mental illnesses and find novel treatments for them. It can distinguish depression from neurodegenerative diseases or brain tumors, and it can reveal structural defects that cause psychosis. Psychosis has been linked to lesions in the frontal or temporal lobes of the brain, as Read More
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Non-functional Adrenocortical Carcinoma in the Wall of the Small Bowel
Authors: Shu-juan Lin, Yan Gao and Chun-juan SunBackground Extra-adrenal non-functional adrenocortical carcinoma (ACC)is an extremely rare tumor with only eight cases having been reported at different localizations. Case Presentation A 60-year-old woman was presented to our hospital with abdominal pain. Magnetic resonance imaging revealed a solitary mass abutting the wall of the small bowel. She underwent resection of the mass, and the results of histopathology an Read More
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Three Different Faces of Schwannoma in Pediatric Patients
Authors: Merve Yazol, Betul Emine Derinkuyu and Oznur BoyunağaBackground Schwannomas arise from nerve sheaths of cranial, peripheral, and spinal nerve or nerve roots. Most intracranial schwannomas arise from the cranial nerves, predominantly the vestibulocochlear nerve. In addition to cranial nerve schwannomas, intraparenchymal schwannomas of the brain and intramedullary schwannomas of the spinal cord are extremely rare. Case Report In our case we describe the imaging findi Read More
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Atypical Cytotoxic Lesion and Hemorrhagic Involvement of the Corpus Callosum in Severe COVID-19 Infection
Introduction/Background The COVID-19 pandemic has resulted in a large number of deaths and has caused a significant increase in population morbidity. This viral infection has been associated with different neurological symptoms and complications that do not have a clear pathophysiological mechanism and exact implications for these patients. Case Presentation A 40-year-old man with COVID-19 and co-inf Read More
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A Lightweight AMResNet Architecture with an Attention Mechanism for Diagnosing COVID-19
Authors: Qi Zhou, Jamal Alzobair Hammad Kowah, Huijun Li, Mingqing Yuan, Lihe Jiang and Xu LiuAims COVID-19 has become a worldwide epidemic disease and a new challenge for all mankind. The potential advantages of chest X-ray images on COVID-19 were discovered. We proposed a lightweight and effective Convolution Neural Network framework based on chest X-ray images for the diagnosis of COVID-19, named AMResNet. Background COVID-19 has become a worldwide epidemic disease and a new challenge for all Read More
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Recent Applications of Deconvolution Microscopy in Medicine
By Kazuo KatohDeconvolution microscopy is a computational image-processing technique used in conjunction with fluorescence microscopy to increase the resolution and contrast of three-dimensional images. Fluorescence microscopy is a widely used technique in biology and medicine that involves labeling specific molecules or structures within a sample with fluorescent dyes and then electronically photographing the sample throug Read More
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Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction
Authors: Hyo-Jin Kang, Jeong Min Lee, Sae Jin Park, Sang Min Lee, Ijin Joo and Jeong Hee YoonBackgroundWhether deep learning-based CT reconstruction could improve lesion conspicuity on abdominal CT when the radiation dose is reduced is controversial.ObjectivesTo determine whether DLIR can provide better image quality and reduce radiation dose in contrast-enhanced abdominal CT compared with the second generation of adaptive statistical iterative reconstruction (ASiR-V).AimsThis study aims to determine whet Read More
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Ultrasonographic Evaluation of Normal Liver, Spleen, and Kidney Dimensions in a Healthy Turkish Community of Over 18 Years Old
Authors: Şaban Tiryaki and Yusuf AksuBackground/AimsThe dimensions of the liver, spleen, and kidneys either change in primary diseases related to these organs or in secondary diseases that indirectly affect them, such as diseases of the cardiovascular system. Therefore, we aimed to investigate the normal dimensions of the liver, kidneys, and spleen and their correlations with body mass index in healthy Turkish adults.Materials and MethodsA total of 1,918 Read More
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Evaluation of Coronary Artery Diffuse Calcification Stenosis by Corrected Coronary Opacification Difference
Authors: Fangjie Shen, Jingfeng Huang, Qianjiang Ding, Quanliang Mao, Xinzhong Ruan and Yuning PanObjectivesThe artifacts produced by calcification on coronary computed tomographic angiography (CCTA) have a great influence on the diagnosis of coronary stenosis. The purpose of this study is to investigate the value of corrected coronary opacification (CCO) difference in the diagnosis of stenosis in diffusely calcified coronary arteries (DCCAs).MethodsA total of 84 patients were enrolled. The CCO difference across the diffu Read More
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Current Concepts of Pain Pathways: A Brief Review of Anatomy, Physiology, and Medical Imaging
BackgroundAlthough the essential components of pain pathways have been identified, a thorough comprehension of the interactions necessary for creating focused treatments is still lacking. Such include more standardised methods for measuring pain in clinical and preclinical studies and more representative study populations.ObjectiveThis review describes the essential neuroanatomy and neurophysiology of pain nociception a Read More
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Conventional versus Aspiration-type Needles in CT-guided Biopsy for Chest Pathologies/Lesions: A Comparative Study
Authors: Hirofumi Sekino, Shiro Ishii, Ryo Yamakuni, Hiroki Suenaga, Daichi Kuroiwa, Kenji Fukushima and Hiroshi ItoBackgroundLarger sample volume can be obtained in one needle pass using an aspiration-type semi-automatic cutting biopsy needle (STARCUT® aspiration-type needle; TSK Laboratory, Tochigi, Japan) in comparison to the conventional semi-automatic cutting biopsy needle.ObjectiveTo evaluate and compare the safety and effectiveness of aspiration-type semi-automatic cutting biopsy needles and non-aspiration-type bi Read More
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An Efficient Ensemble-based Machine Learning approach for Predicting Chronic Kidney Disease
Authors: Divyanshi Chhabra, Mamta Juneja and Gautam ChutaniBackgroundChronic kidney disease (CKD) is a long-term risk to one’s health that can result in kidney failure. CKD is one of today's most serious diseases, and early detection can aid in proper treatment. Machine learning techniques have proven to be reliable in the early medical diagnosis.ObjectiveThe paper aims to perform CKD prediction using machine learning classification approaches. The dataset used for th Read More
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Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers
Authors: S.Arun Kumar and S. SasikalaPurposeBrain tumour detection and classification require trained radiologists for efficient diagnosis. The proposed work aims to build a Computer Aided Diagnosis (CAD) tool to automate brain tumour detection using Machine Learning (ML) and Deep Learning (DL) techniques.Materials and MethodsMagnetic Resonance Image (MRI) collected from the publicly available Kaggle dataset is used for brain tumour detection and cl Read More
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Analysis of COVID-19 CT Chest Image Classification using Dl4jMlp Classifier and Multilayer Perceptron in WEKA Environment
Authors: Sreejith S., J. Ajayan, N.V.Uma Reddy, Babu Devasenapati S. and Shashank RebelliIntroductionIn recent years, various deep learning algorithms have exhibited remarkable performance in various data-rich applications, like health care, medical imaging, as well as in computer vision. COVID-19, which is a rapidly spreading virus, has affected people of all ages both socially and economically. Early detection of this virus is therefore important in order to prevent its further spread.MethodsCOVID-19 crisis has also g Read More
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A Randomized Comparison of Transradial and Transfemoral Approach in Hepatic Arterial Infusion Chemotherapy
More LessIntroductionHepatic arterial infusion chemotherapy (HAIC) has been popular for treating unresectable hepatocellular carcinoma (HCC). However, there are few reports comparing the transradial approach (TRA) and transfemoral approach (TFA) in HAIC.ObjectiveThis study aimed to compare the duration of the hepatic artery catheterization, fluoroscopy time (FT), radiation exposure, safety, and quality of life associated with th Read More
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Clinical Characteristics and High-resolution Computed Tomography Findings of 805 Patients with Mild or Moderate Infection from SARS-CoV-2 Omicron Subvariant BA.2
Authors: Yu-Ning Pan, Meng-Yin Gu, Quan-Liang Mao, Xin-Zhong Ruan, Xian-Feng Du, Xiang Gao, Xue-Qin Chen and Ai-Jing LiBackgroundCOVID-19 is a global pandemic. Currently, the predominant strain is SARS-CoV-2 Omicron subvariant BA.2 in many countries. Understanding its infection characteristics can facilitate clinical management.ObjectivesThis study aimed to characterize the clinical, laboratory, and high-resolution computed tomography (HRCT) findings in patients with mild or moderate infection from SARS-CoV-2 Omicron subvar Read More
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Imaging Features and Risk Factors of Pancreatic Cystic Lesions Complicating Autoimmune Pancreatitis: A Retrospective Study
Authors: Bin-Bin Zhang, Xin-Meng Hou, Yu-Qi Chen, Jian-Wei Huo and Er-Hu JinObjectiveThis study aimed to explore the imaging features and risk factors of PCLs complicating AIP, and investigate its prognosis through continuous imaging follow-up.Patients and MethodsPatients who were diagnosed with AIP from January 2014 to December 2020 in our hospital were recruited. We analyzed the CT and MRI features of PCLs complicating AIP, and investigated its prognosis through imaging follow-up Read More
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Contrast-enhanced Ultrasound of Xanthogranulomatous Endometritis: A Case Report and Literature Review
More LessIntroduction Xanthogranulomatous endometritis (XGE) is a rare inflammatory disease, which can easily misdiagnose as cancer in imaging diagnosis. Diagnosis of XGE relies on histopathological examination and immunohistochemistry. Case Presentation In this study, a case of a 72-year-old female with XGE and elevated CA125 is presented, which was misdiagnosed as endometrial cancer in transvaginal ultrasonography Read More
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Radiological Evaluation of Effectiveness of PCCP Fixation for Femoral Neck Fracture: Med-term Effectiveness in a Retrospective Multicenter
Authors: Wen Tang, Changbao Wei, Liansheng Dai, Dong Lu, Weichun Meng, Zihong Zhou, Sanjun Gu, Haifeng Li and Yanping DingBackgroundIt has been reported in the literature that the complication rate of percutaneous compression plate (PCCP) is the lowest among the new internal fixators for the treatment of femoral neck fracture (FNS). However, no multicenter studies of PCCP for FNS have been reported. This study aimed to evaluate the med-term effectiveness of PCCP in a multicenter mainly through radiology.Methods265 patients with FNF treated Read More
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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