MRI morphological features combined with apparent diffusion coefficient can predict brain invasion in meningioma

Authors: Huang, Xiaoyu ^{a, 1}, Cao, Yuntai ^{b, 1}, Zhang, Guojin ^{c, 1}, Tang, FuQiang ^d, Sun, Dandan ^a, Ren, Jialiang ^e, Li, Wenyi ^a, Zhou, Junlin ^f, Zhang, Jing ^{a, ⁎}

Source: In Computers in Biology and Medicine March 2025 187

Predicting Durable Clinical Benefits of Postoperative Adjuvant Chemotherapy in Non-small Cell Lung Cancer: A Nomogram Based on CT Imaging and Immune Type

Authors: Deng, Liangna ^{a, b, c, d, 1}, Zhang, Mingtao ^{c, e, 1}, Zhu, Kaibo ^{a, b, c, d, 1}, Ren, Jialiang ^f, Zhang, Peng ^g, Zhang, Yuting ^{a, b, c, d}, Jing, Mengyuan ^{a, b, c, d}, Han, Tao ^{a, b, c, d}, Zhang, Bin ^{a, b, c, d}, Zhou, Junlin ^{a, b, c, d, ⁎}

Source: In Academic Radiology January 2025 32(1):460-470

Multiparametric MRI-based Radiomics Analysis for Prediction of Lymph Node Metastasis and Survival Outcome in Gastric Cancer: A Dual-center Study

Authors: Song, Ruirui, Chen, Wujie, Zhang, Junjie, Zhang, Jianxin, Du, Yan, Ren, Jialiang, Shi, Lei, Cui, Yanfen, Yang, Xiaotang

Source: In Academic Radiology December 2024 31(12):4900-4911

HRCT findings predict 1-year mortality in patients with acute exacerbation of idiopathic inflammatory myopathies-associated interstitial lung disease

Authors: Zhang, Jingping ^a, He, Liyu ^a, Han, Tingting ^a, Tong, Jiayin ^a, Ren, Jialiang ^b, Pu, Jiantao ^c, Zhang, Ming ^{a, d}, Guo, Youmin ^{a, d}, Jin, Chenwang ^{a, d, ⁎}

Source: In Heliyon 15 June 2024 10(11)

Using Multi-phase CT Radiomics Features to Predict EGFR Mutation Status in Lung Adenocarcinoma Patients

Authors: Zhang, Guojin, Man, Qiong, Shang, Lan, Zhang, Jing, Cao, Yuntai, Li, Shenglin, Qian, Rong, Ren, Jialiang, Pu, Hong, Zhou, Junlin, Zhang, Zhuoli, Kong, Weifang

Source: In Academic Radiology June 2024 31(6):2591-2600

Perihematomal edema-based CT-radiomics model to predict functional outcome in patients with intracerebral hemorrhage

Authors: Huang, Xiaoyu, Wang, Dan, Ma, Yaqiong, Zhang, Qiaoying, Ren, Jialiang, Zhao, Hui, Li, Shenglin, Deng, Juan, Yang, Jingjing, Zhao, Zhiyong, Xu, Min, Zhou, Qing, Zhou, Junlin

Source: Diagnostic and interventional imaging. 104(9):391-400

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100195771054.0x000001&indx=1&recIds=ETOCvdc_100195771054.0x000001

Potential predictive value of CT radiomics features for treatment response in patients with COVID‐19

Authors: Huang, Gang, Hui, Zhongyi, Ren, Jialiang, Liu, Ruifang, Cui, Yaqiong, Ma, Ying, Han, Yalan, Zhao, Zehao, Lv, Suzhen, Zhou, Xing, Chen, Lijun, Bao, Shisan, Zhao, Lianping

Source: Clinical respiratory journal. 17(5):394-404

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100184404344.0x000001&indx=1&recIds=ETOCvdc_100184404344.0x000001

Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes

Authors: Huang, Lele, Cao, Yuntai, Zhou, Fei, Li, Jicheng, Ren, Jialiang, Zhang, Guojin, Luo, Yongjun, Liu, Jiangyan, He, Jiangping, Zhou, Junlin

Source: Nuclear medicine communications. 44(3):310-322

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100179195232.0x000001&indx=1&recIds=ETOCvdc_100179195232.0x000001

A nomogram for preoperative risk stratification based on MRI morphological parameters in patients with endometrioid endometrial carcinoma

Authors: Yan, Bin, Li, Zhihao, Deng, Ying, Ren, Jialiang, Zhao, Tingting, Ding, Caixia, Zhang, Yuchen

Source: In European Journal of Radiology June 2023 163

Radiomics Features at Multiparametric MRI Predict Disease-Free Survival in Patients With Locally Advanced Rectal Cancer

Authors: Cui, Yanfen, Wang, Guanghui, Ren, Jialiang, Hou, Lina, Li, Dandan, Wen, Qianfa, Xi, Yanfeng, Yang, Xiaotang

Source: In Academic Radiology August 2022 29(8):e128-e138

Radiomics to predict PNI in ESCC.

Authors: Li, Yang, Yang, Li, Gu, Xiaolong, Wang, Xiangming, Wang, Qi, Shi, Gaofeng, Zhang, Andu, Deng, Huiyan, Zhao, Xiaopeng, Ren, Jialiang, Miao, Aijun, Li, Shaolian

Source: Abdominal Radiology; Apr2025, Vol. 50 Issue 4, p1475-1487, 13p

Integrated MRI radiomics, tumor microenvironment, and clinical risk factors for improving survival prediction in patients with glioblastomas.

Authors: Zhou, Qing, Ke, Xiaoai, Man, Jiangwei, Jiang, Jian, Ren, Jialiang, Xue, Caiqiang, Zhang, Bin, Zhang, Peng, Zhao, Jun, Zhou, Junlin

Source: Strahlentherapie und Onkologie; Apr2025, Vol. 201 Issue 4, p398-410, 13p

Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Authors: Gui, Yuan, Hu, Wei, Ren, Jialiang, Tang, Fuqiang, Wang, Limei, Zhang, Fang, Zhang, Jing

Source: Cancer Imaging; 2/28/2025, Vol. 25 Issue 1, p1-12, 12p

CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study

Authors: Song, Ruirui, Cui, Yanfen, Ren, Jialiang, Zhang, Junjie, Yang, Zhao, Li, Dandan, Li, Zhenhui, Yang, Xiaotang

Source: In Radiotherapy and Oncology June 2022 171:155-163

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

Authors: Cui, Yanfen, Zhang, Jiayi, Li, Zhenhui, Wei, Kaikai, Lei, Ye, Ren, Jialiang, Wu, Lei, Shi, Zhenwei, Meng, Xiaochun, Yang, Xiaotang, Gao, Xin

Source: In eClinicalMedicine April 2022 46

Can Peritumoral Radiomics Improve the Prediction of Malignancy of Solid Pulmonary Nodule Smaller Than 2 cm?

Authors: Wu, Shan, Zhang, Na, Wu, Zhifeng, Ren, Jialiang, E, Linning

Source: In Academic Radiology February 2022 29 Supplement 2:S47-S52

Radiomics for prediction of intracerebral hemorrhage outcomes: A retrospective multicenter study

Authors: Huang, Xiaoyu ^{a, b, c, d, 1}, Wang, Dan ^{a, 1}, Zhang, Qiaoying ^e, Ma, Yaqiong ^{b, f}, Zhao, Hui ^{a, b, c, d}, Li, Shenglin ^{a, b, c, d}, Deng, Juan ^{a, b, c, d}, Ren, Jialiang ^g, Yang, Jingjing ^{a, b, c, d}, Zhao, Zhiyong ^f, Xu, Min ^{a, b, c, d}, Zhou, Qing ^{a, b, c, d}, Zhou, Junlin ^{a, c, d, h, ⁎}

Source: In NeuroImage: Clinical 2022 36

Radiomics Based on Lumbar Spine Magnetic Resonance Imaging to Detect Osteoporosis

Authors: He, Li, Liu, Zhai, Liu, Chunying, Gao, Zhimei, Ren, Qingyun, Lei, Licun, Ren, Jialiang

Source: In Academic Radiology June 2021 28(6):e165-e171

Prognostic value of multiparametric MRI-based radiomics model: Potential role for chemotherapeutic benefits in locally advanced rectal cancer

Authors: Cui, Yanfen, Yang, Wenhui, Ren, Jialiang, Li, Dandan, Du, Xiaosong, Zhang, Junjie, Yang, Xiaotang

Source: In Radiotherapy and Oncology January 2021 154:161-169

Identifying subtle differences : a radiomics model assessment for gastric schwannomas and gastrointestinal stromal tumors across risk grades.

Authors: Yang, Zimei, Ma, Chongfei, Ren, Jialiang, Li, Min, Xv, Xiaosheng, Fu, Xin, Yang, Li

Source: Frontiers in Oncology; 2025, p1-10, 10p

Subject Terms: GASTROINTESTINAL stromal tumors, FEATURE extraction, RADIOMICS, COMPUTED tomography, LOGISTIC regression analysis