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- Volume 19, Issue 8, 2023
Current Medical Imaging - Volume 19, Issue 8, 2023
Volume 19, Issue 8, 2023
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Artificial Intelligence in Breast Imaging: A Special Focus on Advances in Digital Mammography & Digital Breast Tomosynthesis
Breast cancer accounts for 30% of female cancers and is the second leading cause of cancerrelated deaths in women. The rate is rising at 0.4% per year. Early detection is crucial to improve treatment efficacy and overall survival of women diagnosed with breast cancer. Digital Mammography and Digital Breast Tomosynthesis have widely demonstrated their role as a screening tool. However, screening mammog Read More
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FDG PET/CT Volume-Based Quantitative Data and Survival Analysis in Breast Cancer Patients: A Systematic Review of the Literature
Purpose: The study aims to assess the role of SUVs, MTV, TLG, and other FDG PET metric data in predicting the prognosis of patients with newly diagnosed BC. Materials and Methods: A systematic review was conducted by using three different databases: Pub- Med, Web of Science, and EMBASE, in the period between January 2011 and May 2021. Studies on the use of FDG PET in BC patients concerning the utility of metri Read More
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The Role of Theragnostics in Breast Cancer: A Systematic Review of the Last 12 Years
Background: Breast cancer is the most common malignancy in women, with high morbidity and mortality. Molecular alterations in breast cancer involve the expression or upregulation of various molecular targets that can be used for diagnostic nuclear medicine imaging and radiopharmaceutical treatment. Theragnostics is based on the binding of radionuclides to molecular targets. These radionuclides can in Read More
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Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications
Background: 18F-FDG PET/CT imaging represents the most important functional imaging method in oncology. European Society of Medical Oncology and the National Comprehensive Cancer Network guidelines defined a crucial role of 18F-FDG PET/CT imaging for local/locally advanced breast cancer. The application of artificial intelligence on PET images might potentially contributes in the field of precision medicine. Obj Read More
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Review on Deep Learning Methodologies in Medical Image Restoration and Segmentation
Authors: R. Hephzibah, Hepzibah C. Anandharaj, G. Kowsalya, R. Jayanthi and D. Abraham ChandyThis paper comprehensively reviews two major image processing tasks, such as restoration and segmentation in the medical field, from a deep learning perspective. These processes are essential because restoration removes noise and segmentation extracts the specific region of interest of an image, both of which are necessary for accurate diagnosis and therapy. This paper mainly focuses on deep learning techniques. It pl Read More
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Three Class Classification of Alzheimer’s Disease Using Deep Neural Networks
Authors: Deep R. Shah, Rupal A. Kapdi, Jigna S. Patel and Jitali PatelAlzheimer’s disease (AD) is a prevalent type of dementia that can cause neurological brain disorders, poor decision making, impaired memory, mood swings, unstable emotions, and personality change. Deep neural networks are proficient in classifying Alzheimer's disease based on MRI images. This classification assists human experts in diagnosing AD and predicts its future progression. The paper proposes various Deep Read More
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Activation of Brain Regions Associated with Working Memory and Inhibitory Control in Patients with Attention-Deficit/Hyperactivity Disorder in Functional Near-Infrared Spectroscopy: A Systematic Review
Authors: Lihao Hou, Jiaxuan Yang, Lin Xu, Juanjuan Peng, Cho Y. Joyce Law and Tianhao ChenIntroduction: Patients with attention-deficit/hyperactivity disorder (ADHD) often show abnormalities related to cognitive activities, especially related to working memory and inhibitory control. Functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging technique based on the changes in cerebral hemodynamics to measure the response of brain activities to cognitive tasks. Methods: In this review, we collected Read More
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Literature Review of Automated Grading Systems Utilizing MRI for Neuroforaminal Stenosis
Authors: Asifa Laulloo, James Meacock, Stuart Currie, Joanna Leng and Simon ThomsonBackground: Cervical neural foraminal stenosis is a common and debilitating condition affecting people between the ages 40-60. Although it is established that MRI is the best method of scanning the neural foramen, the question remains whether there is a role for three-dimensional MRIs and whether it is possible to develop a computer-aided automated grading system to establish the degree of clinically relevant cervical f Read More
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Magnetic Resonance Imaging Features and Misdiagnosis of Spinal Epidural Cavernous Hemangioma
Authors: Meng Zhang, Meng-Qiang Xiao, Jing-Zhi Ye, Hong-Yi Li, Pei-Kai Huang, Jun Chen and Jing-Feng LiuObjective: Spinal epidural cavernous hemangiomas (SECHs) are rare, and merely a few have previously been described in case reports. The present study aims to explore the magnetic resonance imaging (MRI) features of SECHs and analyze the causes of their preoperative misdiagnosis. Methods: The present retrospective study included 11 patients (three male and eight female patients, mean age ± standard deviation: 4 Read More
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Humeral Greater Tuberosity Size Measurement at CT Multiplanar Reconstruction
Authors: Zhiyao Li, Lifeng Ma, Wei Yin, Yingjie Wu, Zhengrong Qi, Bo Yang, Jingxin Zhang, Qiang Li and Ai GuoBackground: This study was designed to explore the precise size of the greater tuberosity of humerus in the Chinese population. Methods: The radiologic study was performed on 66 computer tomography (CT) of the shoulder from the CTs hospital’s scan database of the out-patient department from December 2018 to February 2020, including 26 women and 40 men with a mean age of 36.79 ± 9.17 years, with 41 ri Read More
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Chest CT Features of Patients with COVID-19 Pneumonia Following Hospital Discharge
Authors: Dong Liu, Fangfang Fu, Aihua Ye, Zhenguo Qiao and Chunhong HuObjective: To evaluate chest computed tomographic (CT) findings in patients with coronavirus disease 2019 (COVID-19) pneumonia following hospital discharge. Methods: 52 patients with confirmed COVID-19 pneumonia underwent follow-up chest CT. The scans were obtained on average 43.1 days after hospital admission and analyzed for parenchymal abnormality (e.g., ground-glass opacities, consolidation, or interstitial t Read More
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Cone Beam CT Features and Oral Radiologist’s Decision-making of Arrested Pneumatization of the Sphenoid Sinus
Authors: Noura Alsufyani, Nouf Alsuayri and Raghad AlrasheedObjectives: To assess the demographic and radiographic features of arrested pneumatization of the sphenoid sinus (APS) and their influence on the confidence of oral and maxillofacial radiologists (OMFRs) in diagnosing APS. Methods: Reports of cone beam computed tomography (CBCT) APS were retrieved, and the demographic and radiographic features were retrospectively analyzed. Five OMFRs assessed the CBCT images a Read More
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Validation of a Method to Measure the T2 Value from the Color Mapping by Hue Value
Authors: Takehito Hananouchi and Makishi NakayamaBackground: Color mapping using quantitative MRI (Magnetic Resonance Imaging) is now being reported in various medical fields to be useful in showing tissue conditions and morphological perspectives. Specifically, T2 mapping, as one of the color mapping has been used to describe cartilage conditions in orthopedics. However, for orthopedic physicians in outpatient clinics, the color mapping shows only the colors on t Read More
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Medical Students’ Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice
By Ali AlamerBackground: Medical students' career choices and motivations might be significantly impacted by the rapid advances in artificial intelligence (AI) and the recent hype around it. Objective: This study aimed to assess the impact of AI on medical students’ preferences for radiology as a future specialty choice. Methods: A cross-sectional study was conducted between October and December 2021 among all medical students in t Read More
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Does Diffusion Restriction Pattern on MRI Predict Stroke Etiology in a Cancer Patient?
Authors: Mehmet Kolukisa, Bahar A. Koyuncu, Alisan Bayrakoglu and Talip AsilBackground: Stroke and cancer are two of the most common health problems. Moreover, stroke is more common in patients with cancer than in the normal population, due to coagulation problems. Knowing the etiology of stroke is important for determining treatment options. This study aimed to determine the relationship between ischemic lesion topographies using diffusion-weighted magnetic resonance imaging (MRI) Read More
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Imaging Profile After Treatment with Tocilizumab in COVID-19: A Case Series
Introduction: COVID-19 is a pandemic disease, mainly affecting the respiratory tract, triggering an inflammatory cascade complicated by multiorgan failure up to death. Among the tested medications for this disease, tocilizumab appears to act directly on the inflammatory cascade, improving COVID-19 outcomes. For this reason, we have tested the efficacy of tocilizumab on lung damage using chest computed tomo Read More
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A Huge Gastric Angiolipoma Presenting with Acute Upper Gastrointestinal Hemorrhage: A Case Report
Authors: Joo H. Choi, Sung Bin Park, Jong Beum Lee, Tae-Jin Lee, Hyun Jeong Park and Eun Sun LeeBackground: Angiolipoma is a benign neoplasm mainly composed of adipose tissue and proliferating blood vessels and is relatively rare in the gastrointestinal tract. And among them, gastric angiolipomas are extremely rare and tend to be small. Case Presentation: We report the clinical and imaging features of a patient with a huge angiolipoma in the stomach and an episode of hematemesis and melena, caused by the u Read More
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A Sciatic Neuralgia Case of an Entrapment Neuropathy Mimicking Piriformis Syndrome Due to Soft Tissue Hemangioma
Authors: Şeref B. Arik and Elif GünaydinBackground: Lumbosacral pain is commonly seen in daily clinical practice. In fact, entrapment of the part of the sciatic nerve after the sacral foramen causes some of these pains, which should not be overlooked. The sciatic nerve may be compressed during its course after the sacral foramen for a variety of reasons. We aimed in this article to review extra-spinal compressive sciatic neuropathy reasons and abnormal Read More
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A Case of Intracranial Space-occupying Lesion Caused by Infection of AIDS-associated Talaromyces Marnefei
Authors: Shuyi Xie, Lieguang Zhang, Deyang Huang, Yanhong Yang, Zhiping Zhang, Yanhua Xiao, Xiaoping Tang and Jinxin LiuBackground: Talaromyces marneffei (T. marneffei) is a heat-dimorphic fungus that commonly causes fatal opportunistic infections in immunocompromised patients, such as those with human immunodeficiency virus (HIV) infection. Case Presentation: In this case report we describe a case of intracranial infection of T. marneffei in a 42-year-old AIDS patient. Contrast enhanced MRI showed the left occipital lo Read More
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Scrotal Leiomyoma: A Case Report of a Rare Intra-Scrotal Benign Mass
By Peipei WangIntroduction: Scrotal leiomyoma is a rare benign mesenchymal neoplasm that originates from smooth muscles. Up to now, the exact tumor properties remain unclear. Case Presentation: A 53-year-old male presented with intermittent mild pain and constant heaviness in the right scrotum for 1 year. The physical examination revealed a 6.5 cm by 5.5 cm by 5.5 cm sized, firm, mobile and non-tender lump within the inferior r 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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