MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis
Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) plays an important role in the diagnosis and treatment of breast cancer. However, obtaining complete eight temporal images of DCE-MRI requires a l... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 19, 2024 Category: Radiology Authors: Wei Li, Jiaye Liu, Shanshan Wang and Chaolu Feng Tags: Research Source Type: research
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma
The purpose of our study was to differentiate uterine carcinosarcoma (UCS) from endometrioid adenocarcinoma (EAC) by the multiparametric magnetic resonance imaging (MRI) features. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 19, 2024 Category: Radiology Authors: Xiaodan Chen, Qingyong Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang and Dairong Cao Tags: Research Source Type: research
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature
To study the value of ultrasound in the diagnosis of juxtaglomerular cell tumor (JGCT). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 16, 2024 Category: Radiology Authors: Li Wang, Meiying Li, Siqi Jin, Yunshu Ouyang, Fenglan Wang, Ke Lv, Jianchu Li, Yuxin Jiang, He Liu and Qingli Zhu Tags: Research Source Type: research
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer
Tumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer (NSCLC). Radiomics allows high-throughput extraction and analysis of ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 15, 2024 Category: Radiology Authors: Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong and Hongzhi Wang Tags: Research Source Type: research
Development of a multi-phase CT-based radiomics model to differentiate heterotopic pancreas from gastrointestinal stromal tumor
To investigate whether CT-based radiomics can effectively differentiate between heterotopic pancreas (HP) and gastrointestinal stromal tumor (GIST), and whether different resampling methods can affect the mode... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 14, 2024 Category: Radiology Authors: Kui Sun, Shuxia Yu, Ying Wang, Rongze Jia, Rongchao Shi, Changhu Liang, Ximing Wang and Haiyan Wang Tags: Research Source Type: research
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display
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 no... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 13, 2024 Category: Radiology Authors: Cuiping Wu, Binyang Zhu, Song Kang, Shiyu Wang, Yingying Liu, Xue Mei, He Zhang and Shuangquan Jiang Tags: Research Source Type: research
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning
A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mappi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 13, 2024 Category: Radiology Authors: Aleksandra M. Paciorek, Claudio E. von Schacky, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Jan S. Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky and Jonathan Nadjiri Tags: Research Source Type: research
Quantitating myocardial fibrosis using extracellular extravascular volume determined from computed tomography myocardial perfusion imaging
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 aim... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 12, 2024 Category: Radiology Authors: Na Li, Xin Zhang, Jin Gu, Ming Yang, Lina Chen, Jie Yu and Heshui Shi Tags: Research Source Type: research
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
18F-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 psyc.... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 12, 2024 Category: Radiology Authors: Greet Vanderlinden, Charles Carron, Rik Vandenberghe, Mathieu Vandenbulcke and Koen Van Laere Tags: Study Protocol Source Type: research
Diagnostic performance of coronary computed tomography angiography stenosis score for coronary stenosis
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. T... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 9, 2024 Category: Radiology Authors: Qing-feng Xiong, Xiao-rong Fu, Lei-zhi Ku, Di Zhou, Sheng-peng Guo and Wen-sheng Zhang Tags: Research Source Type: research
Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network
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 i... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 8, 2024 Category: Radiology Authors: Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan and Mohd Asif Shah Tags: Research Source Type: research
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
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, th... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 7, 2024 Category: Radiology Authors: Liuhong Zhu, Funan Wang, Heqing Wang, Jinhui Zhang, Anjie Xie, Jinkui Pei, Jianjun Zhou and Hao Liu Tags: Research Source Type: research
Artifact suppression for breast specimen imaging in micro CBCT using deep learning
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 lon... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 6, 2024 Category: Radiology Authors: Sorapong Aootaphao, Puttisak Puttawibul, Pairash Thajchayapong and Saowapak S. Thongvigitmanee Tags: Research Source Type: research
EOS ® is reliable to evaluate spinopelvic parameters: a validation study
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 ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 6, 2024 Category: Radiology Authors: Mohammadreza Shakeri, Seyed Mani Mahdavi, Masih Rikhtehgar, Mohammad Soleimani, Hasan Ghandhari, Behnam Jafari and Seyedehsan Daneshmand Tags: Research Source Type: research
Automated classification of liver fibrosis stages using ultrasound imaging
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 ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - February 6, 2024 Category: Radiology Authors: Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi and Changhan Yoon Tags: Research Source Type: research
