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Volume 20, Issue 1, 2024
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Automatic Detection and Segmentation of Brain Hemorrhage based on Improved U-Net Model
Authors: Thuong-Cang Phan and Anh-Cang PhanIntroduction: Brain hemorrhage is one of the leading causes of death due to the sudden rupture of a blood vessel in the brain, resulting in bleeding in the brain parenchyma. The early detection and segmentation of brain damage are extremely important for prompt treatment. Methods: Some previous studies focused on localizing cerebral hemorrhage based on bounding boxes without specifying specific damage regions. Howe Read More
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DWI-Derived Sequences: Application in the Evaluation of Liver Fibrosis
More LessThere exists a close relationship between liver fibrosis and Hepatocellular Carcinoma (HCC). Prolonged progression of liver fibrosis may ultimately lead to cirrhosis, thereby increasing the risk of developing HCC. Current research is exploring non-invasive methods for assessing liver fibrosis. One such method is the single exponential model Diffusion-weighted Imaging (DWI) sequence, which uses the Apparent Diffusion Coefficient ( Read More
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Utilizing CT and MRI in Assessing Peritumoral Neovascularization in Renal Cell Carcinoma: A Comprehensive Analysis of Histological Subtypes and Tumor Characteristics by Imaging
Authors: Murat Tepe, Erce Sevin, Ibrahim Inan, Ahmet Aktan, Muzaffer Ayaz, Heba Ibrahim Ali and Senem SenturkObjective There are variations in prognosis and therapeutic approach for renal cell carcinoma among different histological subtypes. This study aims to determine the relationship between radiologically detected peritumoral neovascularization and the histological subtypes of Renal Cell Carcinoma (RCC) and to assess whether extratumoral neovascularization characteristics detected via imaging can contribute to distingui Read More
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Deep Learning-based U-Mamba Model to Predict Differentiated Gastric Cancer using Radiomics Features from Spleen Segmentation
Authors: Hui Shang, Ying Tong, Mingyu Li, Shuangyan Xu, Lihang Xu and Zhendong CaoObjective This study aimed to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model to address the limitations of manual segmentation, which is known to be susceptible to inter-observer variability. Subsequently, a prediction model for gastric cancer (GC) differentiation was constructed alongside radiomics, and a nomogram was generated to investigate its cli Read More
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Intracranial Castleman’s Disease Mimicking Dural-based Pathologies: A Case Report
Background Castleman disease (CD) is a rare lymphoproliferative disorder, with intracranial involvement being exceedingly rare. Unicentric Castleman disease (UCD) is typically benign and localized, but its presentation can mimic other intracranial pathologies, complicating diagnosis. Case Description We reported a 52-year-old woman who presented with progressive headaches and language disturbances. Imaging, in Read More
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The Application of Different Pulmonary Ultrasound Scores in Severe Pneumonia Patients
Authors: Jie Luo, Jie Deng, Yuting Wang and Lihua QiuSevere pneumonia (SP) is a common cause of septic shock and Acute Respiratory Distress Syndrome (ARDS), leading to multiorgan dysfunction syndrome. Patients with SP often require respiratory support, and SP is associated with high mortality and is a significant economic burden for hospitalized patients. Therefore, early identification and real-time monitoring of the severity of SP are crucial for improving outcomes. P Read More
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Multimodal Deep Learning Network for Differentiating between Benign and Malignant Pulmonary Ground Glass Nodules
Authors: Gang Liu, Fei Liu, Xu Mao, Xiaoting Xie, Jingyao Sang, Husai Ma, Haiyun Yang and Hui HeObjective This study aimed to establish a multimodal deep-learning network model to enhance the diagnosis of benign and malignant pulmonary ground glass nodules (GGNs). Methods Retrospective data on pulmonary GGNs were collected from multiple centers across China, including North, Northeast, Northwest, South, and Southwest China. The data were divided into a training set and a validation set in an 8:2 ratio. In additi Read More
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Clinical Outcomes of Transcatheter Arterial Embolization in Patients with High-grade Gross Hematuria
Authors: Chang Hoon Oh, Hyo Jeong Lee and Sang Lim ChoiIntroduction To investigate factors influencing the effectiveness and safety of super-selective embolization in patients with high-grade gross hematuria. Materials and Methods This retrospective, single-center study included 19 consecutive cancer patients (12 men and 7 women, mean age of 72.3 years) who had undergone TAE for intractable hematuria between January 2008 and February 2024. Factors such as technic Read More
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Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights
Authors: A. Beena Godbin and S. Graceline JasmineIntroduction This paper presents a multichannel deep-learning method for detecting lung diseases using chest X-ray images. Using EfficientNetB0 through EfficientNetB7 pretrained models, the methodology offers improved performance in classifying COVID-19, viral pneumonia, and normal chest X-rays. Methods The EfficientNetB2 model was customized by incorporating Squeeze-and-Excitation (SE) blocks and the Convolutio Read More
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Iatrogenic Budd-chiari Syndrome from Misplacement of Right Internal Jugular Central Vein Catheter: A Case Report
Introduction/Background Budd-Chiari syndrome is a rare entity that is caused by an obstruction of the flow in the hepatic veins or inferior vena cava. Case Presentation Herein, we report a rare case of iatrogenic Budd-Chiari syndrome. A 52-year-old woman with chronic renal failure under hemodialysis, presented to our hospital for dyspnea caused by a large pleural effusion. After the placement of the central right jugular v Read More
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Combination of Different Sectional Elastography Techniques with Age to Optimize the Downgrading of Breast BI-RAIDS Class 4a Nodules
Authors: Xianxian Jiang, Le-yuan Chen, Juan Li, Fang-yuan Chen, Nian-an He and Xian-jun YeObjective This study aims to optimize the downgrading of BI-RADS class 4a nodules by combining various sectional elastography techniques with age. Materials and Methods We performed conventional ultrasonography, strain elastography (SE), and shear wave elastography (SWE) on patients. Quantitative parameters recorded included age, cross-sectional and longitudinal area ratios (C-EI/B, L-EI/B), strain rate ratios (C-SR, L-S Read More
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Value of the Stretched Exponential and Fractional-order Model in Differentiating Hepatocellular from Intrahepatic Cholangiocarcinoma
Authors: Jinhuan Xie, Chenhui Li, Qianjuan Chen, Yidi Chen, Huiting Zhang and Liling LongBackground It remains unknown whether the parameters obtained using the Stretched Exponential Model (SEM) and Fractional Order Calculus (FROC) models can help distinguish Hepatocellular Carcinoma (HCC) from Intrahepatic Cholangiocarcinoma (ICC). Objective This study aimed to evaluate the application value of the parameters of the 3.0T Magnetic Resonance Imaging (MRI) high-order SEM and FROC diffusion mo Read More
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Multiple Pulmonary Sclerosing Haemangiomas with a Cavity: A Case Report and Review of the Literature
Authors: Yan Li, Fangbiao Zhang, Zhijun Wu and Yan WuObjective Pulmonary sclerosing haemangioma (PSH) is a relatively uncommon benign neoplasm that is often asymptomatic and predominantly affects young and middle-aged females. PSH often appears as a single nodule, whereas multiple lesions with a cavity are relatively rare and easily misdiagnosed. Case Presentation In our study, we report a patient with separated nodules in the same lobe with a cavity and clinical ma Read More
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Evaluation of Bone Quality in Patients with Bruxism
Authors: Sedef Kotanli, Elif Meltem Aslan Ozturk, Mehmet Emin Dogan and Nurbanu UluısıkBackground Bruxism may cause increased alveolar bone thickness and density and irregular enlargement of the periodontal space. Aim This study aimed to evaluate the mandibular bone quality using radio-morphometric indices and Fractal Dimension (FD) analysis in orthopantomography (OPG). Material and Methods OPGs of 100 patients, 50 bruxers and 50 non-bruxers, were included in this study. Values, such as mental in Read More
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Multi-modal Medical Image Fusion Approach Utilizing Gradient Domain Guided Image Filtering
Authors: Menghui Sun, Xiaoliang Zhu, Yunzhen Niu, Yang Li and Mengke WenBackground Currently, most multimodal medical image fusion techniques focus solely on integrating the edge details of image features, often overlooking color preservation from the source images. Hence, this paper proposes a multi-channel fusion algorithm based on gradient domain-guided image filtering. Purpose This study aims to enhance the color preservation of source images in multimodal medical image fusion Read More
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Perivascular Epithelial Cell Tumor of the Stomach Diagnosed Preoperatively by Endoscopic Ultrasound-Guided Fine-Needle Aspiration
Authors: Limei Wang and Jing ZhangIntroduction Perivascular Epithelioid Cell tumor (PEComa) is a rare mesenchymal neoplasm characterized by the co-expression of melanocytic and myoid markers. While PEComas can arise in diverse anatomical sites, gastric PEComas are exceedingly rare, with merely nine cases documented in the extant literature. Case Presentation Herein, we have presented a case of gastric PEComa in a 65-year-old male patient who exhibite Read More
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A 17-Years Follow-up of Occupational Radiation Doses in an Interventional Cardiology Department
Introduction Various studies have demonstrated large variations in the annual occupational exposure of medical personnel working in interventional cardiology departments, ranging from 0.1 mSv to exceeding the annual effective occupational dose limit of 20 mSv. Purpose The purpose of this study was to investigate the 17-year dynamics in the personal dosimetry records of the medical staff in one interventional cardiology de Read More
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Is the Hyperdensity Areas of the CT Blend Sign Associated with the Fresh Bleeding in Intracerebral Hemorrhage?
Authors: Qian Wu, Wei Che, Na Chen, Long Wang, Siying Ren, Fei Ye, Xu Zhao, Guofeng Wu and Likun WangBackground Controversies still exist regarding the mechanism formation of the blend sign, defined as hypodensity and hyperdensity regions, in Intracerebral Hemorrhage (ICH), and which region associated with bleeding remains unknown. Spot sign is an independent predictor of hematoma expansion (HE) and indicates persistent bleeding focus in the hematoma. Here, we sought to establish the relationship between the spot 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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