An automatic texture feature analysis framework of renal tumor: surgical, pathological, and molecular evaluation based on multi-phase abdominal CT-Reference-Cited by-同舟云学术

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An automatic texture feature analysis framework of renal tumor: surgical, pathological, and molecular evaluation based on multi-phase abdominal CT

Published:2023-08-01 Issue:1 Volume:34 Page:355-366
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Yang Huancheng,Liu Hanlin,Lin Jiashan,Xiao Hongwei,Guo Yiqi,Mei Hangru,Ding Qiuxia,Yuan Yangguang,Lai Xiaohui,Wu Kai,Wu Song^ORCID

Funder

The National Natural Science Foundation Fund of China

Shenzhen Fundamental Research Program

The Special Funds for Strategic Emerging Industries Development in Shenzhen

Shenzhen Science and Technology Program

Guangdong Basic and Applied Basic Research Foundation

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10016-4.pdf

Reference31 articles.

1. Ljungberg B, Albiges L, Abu-Ghanem Y et al (2022) European Association of Urology guidelines on renal cell carcinoma: the 2022 update. Eur Urol. https://doi.org/10.1016/j.eururo.2022.03.006:399-410

2. Moch H, Cubilla AL, Humphrey PA, Reuter VE, Ulbright TM (2016) The 2016 WHO classification of tumours of the urinary system and male genital organs-Part A: renal, penile, and testicular tumours. Eur Urol 70:93–105

3. Considine B, Hurwitz ME (2019) Current status and future directions of immunotherapy in renal cell carcinoma. Curr Oncol Rep 21:34

4. Xie Y, Chen L, Ma X et al (2017) Prognostic and clinicopathological role of high Ki-67 expression in patients with renal cell carcinoma: a systematic review and meta-analysis. Sci Rep 7:44281

5. Kikuchi H, Abe T, Matsumoto R et al (2019) Nephrometry score correlated with tumor proliferative activity inT1 clear cell renal cell carcinoma. Urol Oncol 37:301

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