journal
https://read.qxmd.com/read/38350842/ultrasound-characteristics-of-normal-parathyroid-glands-and-analysis-of-the-factors-affecting-their-display
#21
JOURNAL ARTICLE
Cuiping Wu, Binyang Zhu, Song Kang, Shiyu Wang, Yingying Liu, Xue Mei, He Zhang, Shuangquan Jiang
BACKGROUND: Parathyroid glands are important endocrine glands, and the identification of normal parathyroid glands is crucial for their protection. The aim of this study is to explore the sonographic characteristics of normal parathyroid glands and analyze the factors affecting their display. METHODS: Seven hundred three subjects who underwent physical examination at our hospital were included. The number, location, size, morphology, echogenicity and blood flow distribution of parathyroid glands were recorded...
February 13, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38347469/quantitating-myocardial-fibrosis-using-extracellular-extravascular-volume-determined-from-computed-tomography-myocardial-perfusion-imaging
#22
JOURNAL ARTICLE
Na Li, Xin Zhang, Jin Gu, Ming Yang, Lina Chen, Jie Yu, Heshui Shi
PURPOSE: Both of extracellular extravascular volume (EEV) and extracellular volume fraction (ECV) were proposed to quantify enlargement of myocardial interstitial space due to myocardium loss or fibrosis. The study aimed to investigate the feasibility of using EEV derived from myocardial computed tomography (CT) perfusion imaging (VPCT) and extracellular volume quantification with single-energy subtraction CT (ECV- SECT ) for quantifying myocardial fibrosis. METHODS: In this study, 17 patients with suspected and known coronary artery disease underwent examination using a dual-source CT scanner...
February 12, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38347458/in-vivo-pet-of-synaptic-density-as-potential-diagnostic-marker-for-cognitive-disorders-prospective-comparison-with-current-imaging-markers-for-neuronal-dysfunction-and-relation-to-symptomatology-study-protocol
#23
JOURNAL ARTICLE
Greet Vanderlinden, Charles Carron, Rik Vandenberghe, Mathieu Vandenbulcke, Koen Van Laere
BACKGROUND: 18 F-FDG brain PET is clinically used for differential diagnosis in cognitive dysfunction of unclear etiology and for exclusion of a neurodegenerative cause in patients with cognitive impairment in late-life psychiatric disorders. 18 F-FDG PET measures regional glucose metabolism, which represents a combination of neuronal/synaptic activity but also astrocytic activity and neuroinflammation. Recently, imaging of synaptic vesicle protein 2 A (SV2A) has become available and was shown to be a proxy of synaptic density...
February 12, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38336622/diagnostic-performance-of-coronary-computed-tomography-angiography-stenosis-score-for-coronary-stenosis
#24
JOURNAL ARTICLE
Qing-Feng Xiong, Xiao-Rong Fu, Lei-Zhi Ku, Di Zhou, Sheng-Peng Guo, Wen-Sheng Zhang
BACKGROUND: Coronary computed tomography angiography stenosis score (CCTA-SS) is a proposed diagnosis score that considers the plaque characteristics, myocardial function, and the diameter reduction rate of the lesions. This study aimed to evaluate the diagnostic performance of the CCTA-SS in seeking coronary artery disease (CAD). METHODS: The 228 patients with suspected CAD who underwent CCTA and invasive coronary angiography (ICA) procedures were under examination...
February 9, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38331800/multimodal-biomedical-image-segmentation-using-multi-dimensional-u-convolutional-neural-network
#25
JOURNAL ARTICLE
Saravanan Srinivasan, Kirubha Durairaju, K Deeba, Sandeep Kumar Mathivanan, P Karthikeyan, Mohd Asif Shah
Deep learning recently achieved advancement in the segmentation of medical images. In this regard, U-Net is the most predominant deep neural network, and its architecture is the most prevalent in the medical imaging society. Experiments conducted on difficult datasets directed us to the conclusion that the traditional U-Net framework appears to be deficient in certain respects, despite its overall excellence in segmenting multimodal medical images. Therefore, we propose several modifications to the existing cutting-edge U-Net model...
February 8, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38326746/liver-fat-volume-fraction-measurements-based-on-multi-material-decomposition-algorithm-in-patients-with-nonalcoholic-fatty-liver-disease-the-influences-of-blood-vessel-location-and-iodine-contrast
#26
JOURNAL ARTICLE
Liuhong Zhu, Funan Wang, Heqing Wang, Jinhui Zhang, Anjie Xie, Jinkui Pei, Jianjun Zhou, Hao Liu
BACKGROUND: In recent years, spectral CT-derived liver fat quantification method named multi-material decomposition (MMD) is playing an increasingly important role as an imaging biomarker of hepatic steatosis. However, there are various measurement ways with various results among different researches, and the impact of measurement methods on the research results is unknown. The aim of this study is to evaluate the reproducibility of liver fat volume fraction (FVF) using MMD algorithm in nonalcoholic fatty liver disease (NAFLD) patients when taking blood vessel, location, and iodine contrast into account during measurement...
February 7, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38321400/eos%C3%A2-is-reliable-to-evaluate-spinopelvic-parameters-a-validation-study
#27
JOURNAL ARTICLE
Mohammadreza Shakeri, Seyed Mani Mahdavi, Masih Rikhtehgar, Mohammad Soleimani, Hasan Ghandhari, Behnam Jafari, Seyedehsan Daneshmand
BACKGROUND: Sagittal and coronal standing radiographs have been the standard imaging for assessing spinal alignment. However, their disadvantages include distortion at the image edges and low interobserver reliability in some parameters. EOS® is a low-dose biplanar digital radiographic imaging system that can avoid distortion by obtaining high-definition images. METHODS: This study aimed to evaluate spinopelvic parameters in conventional lateral C1S1 upright radiographs and EOS® images and compare them...
February 6, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38321390/artifact-suppression-for-breast-specimen-imaging-in-micro-cbct-using-deep-learning
#28
JOURNAL ARTICLE
Sorapong Aootaphao, Puttisak Puttawibul, Pairash Thajchayapong, Saowapak S Thongvigitmanee
BACKGROUND: Cone-beam computed tomography (CBCT) has been introduced for breast-specimen imaging to identify a free resection margin of abnormal tissues in breast conservation. As well-known, typical micro CT consumes long acquisition and computation times. One simple solution to reduce the acquisition scan time is to decrease of the number of projections, but this method generates streak artifacts on breast specimen images. Furthermore, the presence of a metallic-needle marker on a breast specimen causes metal artifacts that are prominently visible in the images...
February 6, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38321373/automated-classification-of-liver-fibrosis-stages-using-ultrasound-imaging
#29
JOURNAL ARTICLE
Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon
BACKGROUND: Ultrasound imaging is the most frequently performed for the patients with chronic hepatitis or liver cirrhosis. However, ultrasound imaging is highly operator dependent and interpretation of ultrasound images is subjective, thus well-trained radiologist is required for evaluation. Automated classification of liver fibrosis could alleviate the shortage of skilled radiologist especially in low-to-middle income countries. The purposed of this study is to evaluate deep convolutional neural networks (DCNNs) for classifying the degree of liver fibrosis according to the METAVIR score using US images...
February 6, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38317098/explainable-deep-neural-network-supported-scheme-for-tuberculosis-detection-from-chest-radiographs
#30
JOURNAL ARTICLE
B Uma Maheswari, Dahlia Sam, Nitin Mittal, Abhishek Sharma, Sandeep Kaur, S S Askar, Mohamed Abouhawwash
Chest radiographs are examined in typical clinical settings by competent physicians for tuberculosis diagnosis. However, this procedure is time consuming and subjective. Due to the growing usage of machine learning techniques in applied sciences, researchers have begun applying comparable concepts to medical diagnostics, such as tuberculosis screening. In the period of extremely deep neural nets which comprised of hundreds of convolution layers for feature extraction, we create a shallow-CNN for screening of TB condition from Chest X-rays so that the model is able to offer appropriate interpretation for right diagnosis...
February 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38317076/machine-learning-based-mri-radiomics-for-assessing-the-level-of-tumor-infiltrating-lymphocytes-in-oral-tongue-squamous-cell-carcinoma-a-pilot-study
#31
JOURNAL ARTICLE
Jiliang Ren, Gongxin Yang, Yang Song, Chunye Zhang, Ying Yuan
BACKGROUND: To investigate the value of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics in assessing tumor-infiltrating lymphocyte (TIL) levels in patients with oral tongue squamous cell carcinoma (OTSCC). METHODS: The study included 68 patients with pathologically diagnosed OTSCC (30 with high TILs and 38 with low TILs) who underwent pretreatment MRI. Based on the regions of interest encompassing the entire tumor, a total of 750 radiomics features were extracted from T2-weighted (T2WI) and contrast-enhanced T1-weighted (ceT1WI) imaging...
February 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38308230/magnetic-resonance-imaging-based-radiomics-was-used-to-evaluate-the-level-of-prognosis-related-immune-cell-infiltration-in-breast-cancer-tumor-microenvironment
#32
JOURNAL ARTICLE
Hua Qian, Xiaojing Ren, Maosheng Xu, Zhen Fang, Ruixin Zhang, Yangyang Bu, Changyu Zhou
PURPOSE: The tumor immune microenvironment is a valuable source of information for predicting prognosis in breast cancer (BRCA) patients. To identify immune cells associated with BRCA patient prognosis from the Cancer Genetic Atlas (TCGA), we established an MRI-based radiomics model for evaluating the degree of immune cell infiltration in breast cancer patients. METHODS: CIBERSORT was utilized to evaluate the degree of infiltration of 22 immune cell types in breast cancer patients from the TCGA database, and both univariate and multivariate Cox regressions were employed to determine the prognostic significance of immune cell infiltration levels in BRCA patients...
February 2, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38302883/a-methodical-exploration-of-imaging-modalities-from-dataset-to-detection-through-machine-learning-paradigms-in-prominent-lung-disease-diagnosis-a-review
#33
REVIEW
Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar
BACKGROUND: Lung diseases, both infectious and non-infectious, are the most prevalent cause of mortality overall in the world. Medical research has identified pneumonia, lung cancer, and Corona Virus Disease 2019 (COVID-19) as prominent lung diseases prioritized over others. Imaging modalities, including X-rays, computer tomography (CT) scans, magnetic resonance imaging (MRIs), positron emission tomography (PET) scans, and others, are primarily employed in medical assessments because they provide computed data that can be utilized as input datasets for computer-assisted diagnostic systems...
February 1, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38281008/preoperative-evaluation-of-microvascular-invasion-in-hepatocellular-carcinoma-with-a-radiological-feature-based-nomogram-a-bi-centre-study
#34
JOURNAL ARTICLE
Yuhui Deng, Dawei Yang, Xianzheng Tan, Hui Xu, Lixue Xu, Ahong Ren, Peng Liu, Zhenghan Yang
PURPOSE: To develop a nomogram for preoperative assessment of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) based on the radiological features of enhanced CT and to verify two imaging techniques (CT and MRI) in an external centre. METHOD: A total of 346 patients were retrospectively included (training, n = 185, CT images; external testing 1, n = 90, CT images; external testing 2, n = 71, MRI images), including 229 MVI-negative patients and 117 MVI-positive patients...
January 27, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38279127/performance-of-node-reporting-and-data-system-node-rads-a-preliminary-study-in-cervical-cancer
#35
JOURNAL ARTICLE
Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang
BACKGROUND: Node Reporting and Data System (Node-RADS) was proposed and can be applied to lymph nodes (LNs) across all anatomical sites. This study aimed to investigate the diagnostic performance of Node-RADS in cervical cancer patients. METHODS: A total of 81 cervical cancer patients treated with radical hysterectomy and LN dissection were retrospectively enrolled. Node-RADS evaluations were performed by two radiologists on preoperative MRI scans for all patients, both at the LN level and patient level...
January 26, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38273242/a-gadoxetic-acid-enhanced-mri-based-model-using-li-rads-v2018-features-for-preoperatively-predicting-ki-67-expression-in-hepatocellular-carcinoma
#36
JOURNAL ARTICLE
Yingying Liang, Fan Xu, Qiuju Mou, Zihua Wang, Chuyin Xiao, Tingwen Zhou, Nianru Zhang, Jing Yang, Hongzhen Wu
PURPOSE: To construct a gadoxetic acid-enhanced MRI (EOB-MRI) -based multivariable model to predict Ki-67 expression levels in hepatocellular carcinoma (HCC) using LI-RADS v2018 imaging features. METHODS: A total of 121 patients with HCC who underwent EOB-MRI were enrolled in this study. The patients were divided into three groups according to Ki-67 cut-offs: Ki-67 ≥ 20% (n = 86) vs. Ki-67 < 20% (n = 35); Ki-67 ≥ 30% (n = 73) vs...
January 25, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38273224/application-of-contrast-enhanced-ultrasound-in-diagnosis-and-grading-of-bladder-urothelial-carcinoma
#37
JOURNAL ARTICLE
Hui-Ping Zhang, Rong-Xi Liang, Xue-Ying Lin, En-Sheng Xue, Qin Ye, Yi-Fan Zhu
PURPOSE: To explore the application of contrast-enhanced ultrasound (CEUS) for the diagnosis and grading of bladder urothelial carcinoma (BUC). METHODS: The results of a two-dimensional ultrasound, color Doppler ultrasound and CEUS, were analyzed in 173 bladder lesion cases. The ultrasound and surgical pathology results were compared, and their diagnostic efficacy was analyzed. RESULTS: There were statistically significant differences between BUC and benign lesions in terms of color blood flow distribution intensity and CEUS enhancement intensity (both P < 0...
January 25, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38267889/elective-one-minute-full-brain-multi-contrast-mri-versus-brain-ct-in-pediatric-patients-a-prospective-feasibility-study
#38
JOURNAL ARTICLE
Francesca De Luca, Annika Kits, Daniel Martin Muñoz, Åsa Aspelin, Ola Kvist, Yords Österman, Sandra Diaz Ruiz, Stefan Skare, Anna Falk Delgado
BACKGROUND: Brain CT can be used to evaluate pediatric patients with suspicion of cerebral pathology when anesthetic and MRI resources are scarce. This study aimed to assess if pediatric patients referred for an elective brain CT could endure a diagnostic fast brain MRI without general anesthesia using a one-minute multi-contrast EPI-based sequence (EPIMix) with comparable diagnostic performance. METHODS: Pediatric patients referred for an elective brain CT between March 2019 and March 2020 were prospectively included and underwent EPIMix without general anesthesia in addition to CT...
January 24, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38267881/deep-learning-in-computed-tomography-to-predict-endotype-in-chronic-rhinosinusitis-with-nasal-polyps
#39
JOURNAL ARTICLE
Weidong Du, Weipiao Kang, Shixin Lai, Zehong Cai, Yaowen Chen, Xiaolei Zhang, Yu Lin
BACKGROUND: As treatment strategies differ according to endotype, rhinologists must accurately determine the endotype in patients affected by chronic rhinosinusitis with nasal polyps (CRSwNP) for the appropriate management. In this study, we aim to construct a novel deep learning model using paranasal sinus computed tomography (CT) to predict the endotype in patients with CRSwNP. METHODS: We included patients diagnosed with CRSwNP between January 1, 2020, and April 31, 2023...
January 24, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38267874/medical-image-fusion-based-on-machine-learning-for-health-diagnosis-and-monitoring-of-colorectal-cancer
#40
JOURNAL ARTICLE
Yifeng Peng, Haijun Deng
With the rapid development of medical imaging technology and computer technology, the medical imaging artificial intelligence of computer-aided diagnosis based on machine learning has become an important part of modern medical diagnosis. With the application of medical image security technology, people realize that the difficulty of its development is the inherent defect of advanced image processing technology. This paper introduces the background of colorectal cancer diagnosis and monitoring, and then carries out academic research on the medical imaging artificial intelligence of colorectal cancer diagnosis and monitoring and machine learning, and finally summarizes it with the advanced computational intelligence system for the application of safe medical imaging...
January 24, 2024: BMC Medical Imaging
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