A novel radiomics based on multi-parametric magnetic resonance imaging for predicting Ki-67 expression in rectal cancer: a multicenter study
To explore the value of multiparametric MRI markers for preoperative prediction of Ki-67 expression among patients with rectal cancer. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 27, 2023 Category: Radiology Authors: Xiuzhen Yao, Weiqun Ao, Xiandi Zhu, Shuyuan Tian, Xiaoyu Han, Jinwen Hu, Wenjie Xu, Guoqun Mao and Shuitang Deng Tags: Research Source Type: research
Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma
This study sought to evaluate the worth of the general characteristics of enhanced CT images and the histogram parameters of each stage in distinguishing pleomorphic adenoma (PA) and adenolymphoma (AL). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 27, 2023 Category: Radiology Authors: Feifei Xia, Foqing Guo, Zhe Liu, Jie Zeng, Xuehua Ma, Chongqing Yu and Changxue Li Tags: Research Source Type: research
Imaging findings and clinical relevance of 68Ga-Pentixafor PET in atherosclerosis: a systematic review
We aimed to perform a qualitative synthesis of evidence on the role of 68Ga-Pentixafor PET in atherosclerosis. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 26, 2023 Category: Radiology Authors: Min Wang, Jiayu Zhang, Jiao Ma, Liyi Liu, Jia Wang and Chunyin Zhang Tags: Research Source Type: research
Analysis of enhanced CT imaging signs and clinicopathological prognostic factors in hepatoid adenocarcinoma of stomach patients with radical surgery: a retrospective study
To investigate the association between CT signs and clinicopathological features and disease recurrence in patients with hepatoid adenocarcinoma of stomach (HAS). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 26, 2023 Category: Radiology Authors: Xin-Yue Yan, Hai-Yue Ju, Fang-Jing Hou, Xiao-ting Li, Ding Yang, Lei Tang, Ya-Kun Wang, Zhong-Wu Li, Ying-Shi Sun and Shun-Yu Gao Tags: Research Source Type: research
Computer-assisted evaluation of small airway disease in CT scans of Iran-Iraq war victims of chemical warfare by a locally developed software: comparison between different quantitative methods
Diagnosis of small airway disease on computed tomography (CT) scans is challenging in patients with a history of chemical warfare exposure. We developed a software package based on different methodologies to i... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 23, 2023 Category: Radiology Authors: Mohammad Mehdi Baradaran Mahdavi, Mehravar Rafati, Mostafa Ghanei and Masoud Arabfard Tags: Research Source Type: research
Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy
Parameters, such as left ventricular ejection fraction, peak strain dispersion, global longitudinal strain, etc. are influential and clinically interpretable for detection of cardiac disease, while manual dete... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 19, 2023 Category: Radiology Authors: Jiyun Chen, Xijun Zhang, Jianjun Yuan, Renjie Shao, Conggui Gan, Qiang Ji, Wei Luo, Zhi-Feng Pang and Haohui Zhu Tags: Research Source Type: research
Changes in radiomic and radiologic features in meningiomas after radiation therapy
This study evaluated the radiologic and radiomic features extracted from magnetic resonance imaging (MRI) in meningioma after radiation therapy and investigated the impact of radiation therapy in treating meni... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 19, 2023 Category: Radiology Authors: Sang Won Jo, Eun Soo Kim, Dae Young Yoon and Mi Jung Kwon Tags: Research Source Type: research
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images. The deterministic models foc... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 19, 2023 Category: Radiology Authors: Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan and Arto Mannermaa Tags: Research Source Type: research
The effect of radiofrequency ablation on pain score and non-steroidal painkiller use in osteoid osteoma patients
CT-guided radiofrequency ablation (RFA) is among the thermal ablative procedures and provides great benefits with a minimally invasive procedure. In this prospective study, we aimed to reveal the significance ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 18, 2023 Category: Radiology Authors: Abdullah Soydan Mahmuto ğlu, Fatma Zeynep Arslan, Mehmet Karagülle, Mehmet Semih Çakır and Özdeş Mahmutoğlu Tags: Research Source Type: research
Dynamic evaluation of unruptured intracranial aneurysms by 4D-CT angiography: comparison with digital subtraction angiography (DSA) and surgical findings
This study was to prospectively investigate the feasibility of four-dimensional computed tomography angiography (4D-CTA) with electrocardiogram-gated (ECG) reconstruction for preoperative evaluation of morphol... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 18, 2023 Category: Radiology Authors: Liping Yang, Xing Gao, Chao Gao, Shichuan Xu and Shaodong Cao Tags: Research Source Type: research
Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics
There is a paucity of research investigating the application of machine learning techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical pheochromocytoma (sPHEO) based on radiomi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 16, 2023 Category: Radiology Authors: Dao-xiong Xiao, Jian-ping Zhong, Ji-dong Peng, Cun-geng Fan, Xiao-chun Wang, Xing-lin Wen, Wei-wei Liao, Jun Wang and Xiao-feng Yin Tags: Research Source Type: research
Semantic characteristic grading of pulmonary nodules based on deep neural networks
Accurate grading of semantic characteristics is helpful for radiologists to determine the probabilities of the likelihood of malignancy of a pulmonary nodule. Nevertheless, because of the complex and varied pr... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 13, 2023 Category: Radiology Authors: Caixia Liu, Ruibin Zhao and Mingyong Pang Tags: Research Source Type: research
Correction: Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma
(Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 13, 2023 Category: Radiology Authors: Ying Liu, Ping Yin, Jingjing Cui, Chao Sun, Lei Chen, Nan Hong and Zhentao Li Tags: Correction Source Type: research
DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism
The hippocampus is a key area of the brain responsible for learning, memory, and other abilities. Accurately segmenting the hippocampus and precisely calculating the volume of the hippocampus is of great signi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 13, 2023 Category: Radiology Authors: Han Wang, Cai Lei, Di Zhao, Liwei Gao and Jingyang Gao Tags: Research Source Type: research
Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics
Several machine learning (ML) classifiers for thyroid nodule diagnosis have been compared in terms of their accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV),... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 12, 2023 Category: Radiology Authors: Jianguang Liang, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong and Xianfen Diao Tags: Research Source Type: research
