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Cancer Management and Research Volume 13, 2021 - Issue

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Original Research

A CT-Based Tumoral and Mini-Peritumoral Radiomics Approach: Differentiate Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma

Yanqing Ma1 Department of Radiology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, 310000, People’s Republic of ChinaCorrespondence[email protected]

https://orcid.org/0000-0002-6131-3284

Xiren Xu1 Department of Radiology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, 310000, People’s Republic of China

Peipei Pang2 Department of Pharmaceuticals Diagnosis, GE Healthcare, Hangzhou, 310000, People’s Republic of China

Yang Wen1 Department of Radiology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, 310000, People’s Republic of China

Pages 1417-1425 | Published online: 12 Feb 2021

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Liu Zechuan, Lyu Tianshi, Li Tiantian, Cao Shoujin, Yao Hang, Yao Ziping, Guan Haitao, Fan Zeyang, Zou Yinghua & Wang Jian. (2024) The radiomics-clinical nomogram for predicting the response to initial superselective arterial embolization in renal angiomyolipoma, a preliminary study. Frontiers in Oncology 14.
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Tong Zhang, Ying Ming, Jingxu Xu, Ke Jin, Chencui Huang, Mingguang Duan, Kaiguo Li, Yuanwei Liu, Yonghui Lv, Jie Zhang & Zhaoqin Huang. (2023) Radiomics and Ki-67 index predict survival in clear cell renal cell carcinoma. The British Journal of Radiology 96:1150.
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Fatemeh Dehghani Firouzabadi, Nikhil Gopal, Amir Hasani, Fatemeh Homayounieh, Xiaobai Li, Elizabeth C. Jones, Pouria Yazdian Anari, Evrim Turkbey & Ashkan A. Malayeri. (2023) CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: Systematic review and meta-analysis. PLOS ONE 18:7, pages e0287299.
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Zhong-Xing Shi, Chang-Fu Li, Li-Feng Zhao, Zhong-Qi Sun, Li-Ming Cui, Yan-Jie Xin, Dong-Qing Wang, Tan-Rong Kang & Hui-Jie Jiang. (2023) Computed tomography radiomic features and clinical factors predicting the response to first transarterial chemoembolization in intermediate-stage hepatocellular carcinoma. Hepatobiliary & Pancreatic Diseases International.
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Mohamed Shehata, Rasha T. Abouelkheir, Mallorie Gayhart, Eric Van Bogaert, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Jawad Yousaf, Mohammed Ghazal, Sohail Contractor & Ayman El-Baz. (2023) Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review. Cancers 15:10, pages 2835.
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Matteo Ferro, Gennaro Musi, Michele Marchioni, Martina Maggi, Alessandro Veccia, Francesco Del Giudice, Biagio Barone, Felice Crocetto, Francesco Lasorsa, Alessandro Antonelli, Luigi Schips, Riccardo Autorino, Gian Maria Busetto, Daniela Terracciano, Giuseppe Lucarelli & Octavian Sabin Tataru. (2023) Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects. International Journal of Molecular Sciences 24:5, pages 4615.
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Matteo Ferro, Felice Crocetto, Biagio Barone, Francesco del Giudice, Martina Maggi, Giuseppe Lucarelli, Gian Maria Busetto, Riccardo Autorino, Michele Marchioni, Francesco Cantiello, Fabio Crocerossa, Stefano Luzzago, Mattia Piccinelli, Francesco Alessandro Mistretta, Marco Tozzi, Luigi Schips, Ugo Giovanni Falagario, Alessandro Veccia, Mihai Dorin Vartolomei, Gennaro Musi, Ottavio de Cobelli, Emanuele Montanari & Octavian Sabin Tătaru. (2023) Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review. Therapeutic Advances in Urology 15, pages 175628722311648.
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Lian Jian, Yan Liu, Yu Xie, Shusuan Jiang, Mingji Ye & Huashan Lin. (2022) MRI-Based Radiomics and Urine Creatinine for the Differentiation of Renal Angiomyolipoma With Minimal Fat From Renal Cell Carcinoma: A Preliminary Study. Frontiers in Oncology 12.
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Yanqing Ma, Zheng Guan, Hong Liang & Hanbo Cao. (2022) Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics. Frontiers in Oncology 12.
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A CT-Based Tumoral and Mini-Peritumoral Radiomics Approach: Differentiate Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma

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A CT-Based Tumoral and Mini-Peritumoral Radiomics Approach: Differentiate Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma

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