Explanipedia

Predicting EGFR gene mutation in lung adenocarcinoma using spectral CT combined with AI parameters: a diagnostic accuracy study Open

Lilan She, Min Xie, Guowen Xu, Xiangmei Zhan, Meilan Huang , et al. · 2025

Purpose Epidermal growth factor receptor(EGFR) mutation is one of the most critical biomarkers in non-small cell lung cancer (NSCLC), holding significant clinical implications for guiding targeted therapy selection and prognostic assessmen…

Multiplexed sensitivity encoding diffusion-weighted imaging in the assessment of meningiomas: improving the image quality, grading accuracy, and proliferative activity evaluation Open

Danjie Lin, Sihui Liu, Xiaodan Chen, Yulei Liao, Yichao Zhang , et al. · 2025

Compared with ssEPI-DWI, MUSE-DWI improves the diffusion image quality of meningiomas, enhancing the accuracy of meningioma grading and proliferative activity evaluation.

Cognitive Implications of White Matter Alterations in Overweight Chinese Individuals: An NODDI and DTI Study Open

Shaofan Jiang, Yingzhe Cheng, Rifeng Jiang, Huang Pei-lin, Jiejun Zhang , et al. · 2025

Objective: Scarce studies have elucidated the relationship between the microstructure changes of white matter (WM) and cognitive domains in overweight (OW). This study aimed to evaluate the WM microstructure changes and the relationship wi…

Prediction of pulmonary complications post-lobectomy or -sub-lobectomy in lung cancer using artificial intelligence-estimated lung function indexes based on preoperative chest computed tomography Open

Wanyi Zheng, B.X. Tang, Yunjing Xue, Rifeng Jiang, Liwei Xue , et al. · 2025

FEV1_AI-CT is a potential independent predictor of PC after lung lobectomy or sub-lobectomy in lung cancer.

Cognitive implications of white matter microstructural changes in individuals with low heart rate variability: a NODDI study Open

Shaofan Jiang, Yingzhe Cheng, Ling Luo, Rifeng Jiang, Xiaodong Pan , et al. · 2025

Objective This study aimed to investigated the microstructural integrity of WM and the relationship with the cognitive domains and cognition-related plasma biomarkers in low heart rate variability (HRV). Methods Our study recruited 44 high…

Association of glymphatic system function with peripheral inflammation and motor symptoms in Parkinson’s disease Open

Ruolan Lin, Guoen Cai, Ying Chen, Jinmei Zheng, Shu Wang , et al. · 2025

Growing evidence highlights the roles of glymphatic system and peripheral inflammation in Parkinson's disease (PD). We evaluated their interrelationship and potential mechanisms contributing to motor symptoms using DTI-ALPS and inflammator…

Relationship between fetal-type posterior cerebral artery and basilar artery atherosclerosis Open

Lijuan Zheng, Y P Chen, Xin Lin, Shasha Deng, Bin Sun , et al. · 2025

Objective To investigate the relationship between the morphology of posterior cerebral artery (PCA) and the basilar artery (BA) atherosclerosis disease based on the High-Resolution Magnetic Resonance Vessel Wall Imaging (HR-MRI). Methods A…

Correction: Segmentation of HE-stained meningioma pathological images based on pseudo-labels Open

Chongshu Wu, Jing Zhong, Lin Lin, Yanping Chen, Yunjing Xue , et al. · 2024

[This corrects the article DOI: 10.1371/journal.pone.0263006.].

The value of computed tomography angiography for evaluation of left atrial enlargement in patients with persistent atrial fibrillation Open

Fang-Fang Lin, Qian Chen, Qiuyan Wu, Shijie Li, Yao‐Bin Zhu , et al. · 2024

Optimization of motion-corrected liver diffusion-weighted imaging at 3 Tesla (3T): incorporating complex averaging and reparametrized sinc fatsat pulse with optimized water excitation pulse Open

Zhiyong Chen, Zhangli Xing, Enshuang Zheng, Mingcong Luo, Caixia Fu , et al. · 2024

BACKGROUND: In liver diffusion-weighted imaging (DWI), single-shot echo-planar imaging (SS-EPI) sequences are susceptible to motion artifacts, resulting in image blurring and decreased lesion detection rates. This study aimed to develop an…

RETRACTED: Comparison of multiplexed sensitivity encoding and single-shot echo-planar imaging for diffusion-weighted imaging in meningiomas: imaging quality, grading accuracy and proliferative activity prediction Open

Danjie Lin, Sihui Liu, Xiaodan Chen, Ye Li, Yichao Zhang , et al. · 2024

The authors have requested that this preprint be removed from Research Square.

Application of predictive model based on CT radiomics and machine learning in diagnosis for occult locally advanced esophageal squamous cell carcinoma before treatment: A two-center study Open

Shuhan Xie, Wanfei Zhang, Yue Wu, Zi-Lu Tang, Litao Yang , et al. · 2024

A nomogram model of spectral CT quantitative parameters and clinical characteristics predicting lymphovascular invasion of gastric cancer Open

Yong-Xiu Tong, 孝河野, Yongqin Chen, Yaru You, Huijuan Zhang , et al. · 2024

This study constructed a comprehensive nomogram consisting spectral CT quantitative parameters and clinical characteristics of GC, which exhibited a robust efficiency in predicting LVI in GC patients.

Detecting bone marrow infiltration in nonosteolytic multiple myeloma through separation of hydroxyapatite via the two-material decomposition technique in spectral computed tomography Open

Jianhua Chen, Zongjian Qiu, Nan Jiang, Yu Xia, Hongxiang Li , et al. · 2024

The spectral CT two-material decomposition technique with removal of X-ray absorption components of HAP is useful for diagnosis of NOL-MM, irrespective of the paired material.

Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning Open

Hui-Ting Ge, Jianwu Chen, Lili Wang, Tian-Xiu Zou, Bin Zheng , et al. · 2024

BACKGROUND Lymphovascular invasion (LVI) and perineural invasion (PNI) are important prognostic factors for gastric cancer (GC) that indicate an increased risk of metastasis and poor outcomes. Accurate preoperative prediction of LVI/PNI st…

Supplementary Figure 3 from HIC1 Silencing in Triple-Negative Breast Cancer Drives Progression through Misregulation of LCN2 Open