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Akademický článek

Predicting coronary artery calcified plaques using perivascular fat CT radiomics features and clinical risk factors

Autor: Guo-qing Hu, Ya-qiong Ge, Xiao-kun Hu, Wei Wei

Publikováno v: BMC Medical Imaging, Vol 22, Iss 1, Pp 1-10 (2022)

Abstract Objective The purpose of this study was to develop a combined radiomics model to predict coronary plaque texture using perivascular fat CT radiomics features combined with clinical risk factors. Methods The data of 200 patients with coronary

Externí odkaz: https://doaj.org/article/70ccf7060ed64408a3159f22153d68fa

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Akademický článek

High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer

Autor: Yan-song Yang, Yong-juan Qiu, Gui-hua Zheng, Hai-peng Gong, Ya-qiong Ge, Yi-fei Zhang, Feng Feng, Yue-tao Wang

Publikováno v: Cancer Imaging, Vol 21, Iss 1, Pp 1-10 (2021)

Abstract Background To establish and validate a high-resolution magnetic resonance imaging (HRMRI)-based radiomic nomogram for prediction of preoperative perineural invasion (PNI) of rectal cancer (RC). Methods Our retrospective study included 140 su

Externí odkaz: https://doaj.org/article/3307b14324a74c78bc37463d7d8fb16c

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Akademický článek

Usefulness of Noncontrast MRI-Based Radiomics Combined Clinic Biomarkers in Stratification of Liver Fibrosis

Autor: Ru Zhao, Hong Zhao, Ya-Qiong Ge, Fang-Fang Zhou, Long-Sheng Wang, Hong-Zhen Yu, Xi-Jun Gong

Publikováno v: Canadian Journal of Gastroenterology and Hepatology, Vol 2022 (2022)

Purpose. To develop and validate a radiomic nomogram based on texture features from out-of-phase T1W images and clinical biomarkers in prediction of liver fibrosis. Materials and Methods. Patients clinically diagnosed with chronic liver fibrosis who

Externí odkaz: https://doaj.org/article/714a6b53d9044eefabb0491d2088358e

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Akademický článek

The Value of MRI Findings Combined With Texture Analysis in the Differential Diagnosis of Primary Ovarian Granulosa Cell Tumors and Ovarian Thecoma–Fibrothecoma

Autor: Nai-yu Li, Bin Shi, Yu-lan Chen, Pei-pei Wang, Chuan-bin Wang, Yao Chen, Ya-qiong Ge, Jiang-ning Dong, Chao Wei

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

ObjectiveThis study aims to explore the value of magnetic resonance imaging (MRI) and texture analysis (TA) in the differential diagnosis of ovarian granulosa cell tumors (OGCTs) and thecoma-fibrothecoma (OTCA–FTCA).MethodsThe preoperative MRI data

Externí odkaz: https://doaj.org/article/282262a2e4874be1a276aed43df8a05a

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Akademický článek

Assistance by Routine CT Features Combined With 3D Texture Analysis in the Diagnosis of BRCA Gene Mutation Status in Advanced Epithelial Ovarian Cancer

Autor: Meng-ru Li, Ming-zhu Liu, Ya-qiong Ge, Ying Zhou, Wei Wei

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

PurposeTo evaluate the predictive value of routine CT features combined with 3D texture analysis for prediction of BRCA gene mutation status in advanced epithelial ovarian cancer.MethodRetrospective analysis was performed on patients with masses occu

Externí odkaz: https://doaj.org/article/cfc4a17aa7704a45ac8b30ca95498477

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Akademický článek

Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study

Autor: Shu-cheng Bi, Han Zhang, He-xiang Wang, Ya-qiong Ge, Peng Zhang, Zhen-chang Wang, Da-peng Hao

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

ObjectivesTo investigate the efficacy of multi-parametric MRI-based radiomics nomograms for preoperative distinction between benign and malignant sinonasal tumors.MethodsData of 244 patients with sinonasal tumor (training set, n=192; test set, n=52)

Externí odkaz: https://doaj.org/article/6d535ea98a2249408460293f298dad4a

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Akademický článek

Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis

Autor: Ru Zhao, Xi-Jun Gong, Ya-Qiong Ge, Hong Zhao, Long-Sheng Wang, Hong-Zhen Yu, Bin Liu

Publikováno v: Canadian Journal of Gastroenterology and Hepatology, Vol 2021 (2021)

Purpose. To compare the diagnostic value of texture analysis- (TA-) derived parameters from out-of-phase T1W, in-phase T1W, and T2W images in the classification of the early stage of liver fibrosis. Methods. Patients clinically diagnosed with hepatit

Externí odkaz: https://doaj.org/article/3ade9e49d7284d80943640a36a0f74cd

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High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer

Autor: Feng Feng, Gui-Hua Zheng, Yue-Tao Wang, Ya-Qiong Ge, Yong-Juan Qiu, Yan-Song Yang

Publikováno v: Abdominal Radiology. 46:873-884

To establish and validate two predictive radiomics models for preoperative prediction of lymph node metastases (LNMs) and tumor deposits (TDs) respectively in rectal cancer (RC) patients. A total of 139 RC patients (98 in the training cohort and 41 i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a5cbde40442cef2665db5b6a4e6f77de
https://doi.org/10.1007/s00261-020-02733-x

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Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics

Autor: Wei Wei, Ya qiong Ge, Xiao wen Hu, Yingming Zhao, Qi Cheng

Publikováno v: European Radiology

Objective To explore the value of CT texture analysis (CTTA) for determining coronavirus disease 2019 (COVID-19) severity. Methods The clinical and CT data of 81 patients with COVID-19 were retrospectively analyzed. The texture features were extracte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0c5d1aaf8f73c8327c6d0729047d56f
https://doi.org/10.1007/s00330-020-07012-3

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