Literature DB >> 28723287

Advanced Renal Cell Carcinoma: Role of the Radiologist in the Era of Precision Medicine.

Atul B Shinagare1, Katherine M Krajewski1, Marta Braschi-Amirfarzan1, Nikhil H Ramaiya1.   

Abstract

For the past decade, advanced renal cell carcinoma (RCC) has been at the forefront of oncologic innovation. Our rapidly evolving understanding of the molecular and genetic basis of RCC has revolutionized the management of advanced RCC; 10 novel molecular targeted agents and immune checkpoint inhibitor have received U.S. Food and Drug Administration approval for treatment of advanced RCC in a little over a decade. Amid this progress, imaging has assumed a central role in metastatic surveillance and follow-up of advanced RCC. State-of-the-art knowledge of the molecular basis of RCC and its treatment and imaging will help ensure that the radiology community remains relevant and central in the care of patients with advanced RCC. This article will review developments in management of advanced RCC from a radiologist's perspective to highlight our clinical role. It will describe how the underlying molecular mechanisms of RCC provide specific targets for novel anticancer agents. The relationship between the mechanisms of action of these novel anticancer agents and the imaging appearance of tumor response will be discussed, along with the available tumor response criteria and their strengths and weaknesses, thus assisting radiologists in response assessment in the setting of clinical trials or routine practice. The class- and drug-specific toxicities and complications associated with the novel anticancer agents will be summarized, since these are frequently missed or misinterpreted and require the radiologist's input in prompt detection and management. The potential role of radiogenomics and texture analysis in the management of advanced RCC will also be discussed. © RSNA, 2017.

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Year:  2017        PMID: 28723287     DOI: 10.1148/radiol.2017160343

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.

Authors:  Pei Nie; Guangjie Yang; Zhenguang Wang; Lei Yan; Wenjie Miao; Dapeng Hao; Jie Wu; Yujun Zhao; Aidi Gong; Jingjing Cui; Yan Jia; Haitao Niu
Journal:  Eur Radiol       Date:  2019-09-10       Impact factor: 5.315

Review 2.  Renal Cell Carcinoma: the Oncologist Asks, Can PSMA PET/CT Answer?

Authors:  Chiara Pozzessere; Maria Bassanelli; Anna Ceribelli; Sazan Rasul; Shuren Li; John O Prior; Francesco Cicone
Journal:  Curr Urol Rep       Date:  2019-10-11       Impact factor: 3.092

3.  T1 Stage Clear Cell Renal Cell Carcinoma: A CT-Based Radiomics Nomogram to Estimate the Risk of Recurrence and Metastasis.

Authors:  Bing Kang; Cong Sun; Hui Gu; Shifeng Yang; Xianshun Yuan; Congshan Ji; Zhaoqin Huang; Xinxin Yu; Shaofeng Duan; Ximing Wang
Journal:  Front Oncol       Date:  2020-11-04       Impact factor: 6.244

4.  DMDRMR promotes angiogenesis via antagonizing DAB2IP in clear cell renal cell carcinoma.

Authors:  Yumeng Zhu; Xiaojun Liu; Yang Wang; Yongbo Pan; Xiaoqi Han; Bo Peng; Xu Zhang; Shaoxi Niu; He Wang; Qinong Ye; Yinmin Gu; Shan Gao
Journal:  Cell Death Dis       Date:  2022-05-13       Impact factor: 9.685

5.  The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.

Authors:  Seokmin Han; Sung Il Hwang; Hak Jong Lee
Journal:  J Digit Imaging       Date:  2019-08       Impact factor: 4.056

6.  Preoperative Predicting the WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma by Computed Tomography-Based Radiomics Features.

Authors:  Claudia-Gabriela Moldovanu; Bianca Boca; Andrei Lebovici; Attila Tamas-Szora; Diana Sorina Feier; Nicolae Crisan; Iulia Andras; Mircea Marian Buruian
Journal:  J Pers Med       Date:  2020-12-23

7.  A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma.

Authors:  Yingjie Xv; Fajin Lv; Haoming Guo; Zhaojun Liu; Di Luo; Jing Liu; Xin Gou; Weiyang He; Mingzhao Xiao; Yineng Zheng
Journal:  Front Oncol       Date:  2021-12-03       Impact factor: 6.244

Review 8.  Importance of tumor subtypes in cancer imaging.

Authors:  Ali Khader; Marta Braschi-Amirfarzan; Lacey J McIntosh; Babina Gosangi; Jeremy R Wortman; Christoph Wald; Richard Thomas
Journal:  Eur J Radiol Open       Date:  2022-07-26

Review 9.  Role of Artificial Intelligence in Kidney Disease.

Authors:  Qiongjing Yuan; Haixia Zhang; Tianci Deng; Shumei Tang; Xiangning Yuan; Wenbin Tang; Yanyun Xie; Huipeng Ge; Xiufen Wang; Qiaoling Zhou; Xiangcheng Xiao
Journal:  Int J Med Sci       Date:  2020-04-06       Impact factor: 3.738

  9 in total

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