Deep learning model for automatic image quality assessment in PET
A variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to explore a potential PET image quality assessment (QA) method with deep lear... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - June 5, 2023 Category: Radiology Authors: Haiqiong Zhang, Yu Liu, Yanmei Wang, Yanru Ma, Na Niu, Hongli Jing and Li Huo Tags: Research Source Type: research
Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I)
Treatment plans for squamous cell carcinoma of the head and neck (SCCHN) are individually decided in tumor board meetings but some treatment decision-steps lack objective prognostic estimates. Our purpose was ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - June 2, 2023 Category: Radiology Authors: Simon Bernatz, Ines B öth, Jörg Ackermann, Iris Burck, Scherwin Mahmoudi, Lukas Lenga, Simon S. Martin, Jan-Erik Scholtz, Vitali Koch, Leon D. Grünewald, Ina Koch, Timo Stöver, Peter J. Wild, Ria Winkelmann, Thomas J. Vogl and Daniel Pinto dos Santos Tags: Research Source Type: research
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review
The objective of this review was to evaluate the diagnostic performance of c... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - June 1, 2023 Category: Radiology Authors: Sareh Habibzadeh, Zahra Ghoncheh, Pedram Kabiri and Seyed Ali Mosaddad Tags: Research Source Type: research
Can the apparent transverse relaxation rate (R2*) evaluate the efficacy of concurrent chemoradiotherapy in locally advanced nasopharyngeal carcinoma? a preliminary experience
The use of the apparent transverse relaxation rate (R2*) in nasopharyngeal carcinoma (NPC) has not been previously reported in the literature. The aim of this study was to investigate the role of the R2* value in... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - June 1, 2023 Category: Radiology Authors: Xinhua Xu, Ming Chen, Jin Zhang, Yunzhu Jiang, Hua Chao and Jianfeng Zha Tags: Research Source Type: research
Identification of triple-negative breast cancer and androgen receptor expression based on histogram and texture analysis of dynamic contrast-enhanced MRI
Triple-negative breast cancer (TNBC) is highly malignant and has a poor prognosis due to the lack of effective therapeutic targets. Androgen receptor (AR) has been investigated as a possible therapeutic target... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - June 1, 2023 Category: Radiology Authors: Wen-juan Xu, Bing-jie Zheng, Jun Lu, Si-yun Liu and Hai-liang Li Tags: Research Source Type: research
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer
To establish and validate radiomic models combining intratumoral (Intra) and peritumoral (Peri) features obtained from pretreatment MRI for the prediction of treatment response of lymph node metastasis from na... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 30, 2023 Category: Radiology Authors: Hao Xu, Ai Wang, Chi Zhang, Jing Ren, Peng Zhou and Jieke Liu Tags: Research Source Type: research
MRI-based radiomics model and nomogram for predicting the outcome of locoregional treatment in patients with hepatocellular carcinoma
This study aimed to investigate the role of MRI-based radiomics and nomogr... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 30, 2023 Category: Radiology Authors: Yuxin Wang, Zhenhao Liu, Hui Xu, Dawei Yang, Jiahui Jiang, Himeko Asayo and Zhenghan Yang Tags: Research Source Type: research
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control
This study was to explore the value of transvaginal 2D SWE in the evaluation of the stif... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 22, 2023 Category: Radiology Authors: Hui-Ping Zhang, Jing-Jing Wu, Wen-Ying Zhang, Jiu-Zhi Tao, Cheng-Bin Ma and Yu-Qing Zhou Tags: Research Source Type: research
Diagnostic performance of a high-spatial-resolution voxelwise analysis of neuromelanin-sensitive imaging in early-stage idiopathic Parkinson ’s disease
Quantitative assessments of neuromelanin (NM) of the substantia nigra pars compacta (SNpc) in neuromelanin-sensitive MRI (NM-MRI) to determine its abnormality have been conducted by measuring either the volume... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 18, 2023 Category: Radiology Authors: Minjung Seong, Seongbeom Park, Young Hee Sung and Eung Yeop Kim Tags: Research Source Type: research
Application of magnetic resonance image compilation (MAGiC) in the diagnosis of middle-aged and elderly women with osteoporosis
To investigate the feasibility of diagnosing osteoporosis (OP) in women through magnetic resonance image compilation (MAGiC). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 15, 2023 Category: Radiology Authors: Yiming Chen, Xiuting Mei, Xuqian Liang, Yi Cao, Cong Peng, Yang Fu, Yulong Zhang, Cuifang Liu and Yang Liu Tags: Research Source Type: research
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks
This study was conducted to alleviate a common difficulty in chest X-ray image diagnosis: The attention region in a convolutional neural network (CNN) does not often match the doctor ’s point of focus. The meth... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 9, 2023 Category: Radiology Authors: Takumasa Tsuji, Yukina Hirata, Kenya Kusunose, Masataka Sata, Shinobu Kumagai, Kenshiro Shiraishi and Jun ’ichi Kotoku Tags: Research Source Type: research
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma
To research the pathological and clinical staging uses of arterial spin labeling (ASL) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 3, 2023 Category: Radiology Authors: Haodong Li, Guanzhong Gong, Lizhen Wang, Ya Su, Jie Lu and Yong Yin Tags: Research Source Type: research
Automated classification of polyps using deep learning architectures and few-shot learning
Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps ar... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 20, 2023 Category: Radiology Authors: Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann and Frank Puppe Tags: Research Source Type: research
Ultra-short echo time MR imaging in assessing cartilage endplate damage and relationship between its lesion and disc degeneration for chronic low back pain patients
To investigate the feasibility of ultra-short echo time (UTE) magnetic resonance imaging (MRI) in the assessment of cartilage endplate (CEP) damage and further evaluate the relationship between total endplate ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 20, 2023 Category: Radiology Authors: Zhilin Ji, Yue Li, Weiqiang Dou, Yaru Zhu, Yin Shi and Yuefen Zou Tags: Research Source Type: research
High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4
BI-RADS 4 breast lesions are suspicious for malignancy with a range from 2 to 95%, indicating that numerous benign lesions are unnecessarily biopsied. Thus, we aimed to investigate whether high-temporal-resolu... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 19, 2023 Category: Radiology Authors: Yufeng Liu, Shiwei Wang, Jingjing Qu, Rui Tang, Chundan Wang, Fengchun Xiao, Peipei Pang, Zhichao Sun, Maosheng Xu and Jiaying Li Tags: Research Source Type: research
