Literature DB >> 27603788

Vascular Tumor Burden as a New Quantitative CT Biomarker for Predicting Metastatic RCC Response to Antiangiogenic Therapy.

Andrew D Smith1, Xu Zhang1, Jason Bryan1, Frederico Souza1, Manohar Roda1, Reza Sirous1, Haowei Zhang1, Amit Vasanji1, Michael Griswold1.   

Abstract

Purpose To quantify initial changes in the vascular tumor burden (VTB), a measure of the area of vascularized tumor on computed tomographic (CT) images, and predict tumor response to antiangiogenic therapy in patients with metastatic renal cell carcinoma (RCC). Materials and Methods For this institutional review board-approved HIPAA-compliant secondary analysis of a prospective phase III trial, adult patients with digital CT images and metastatic clear-cell RCC treated with sunitinib were included (n = 275). Target lesions were selected by using Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 guidelines, and the CT images obtained after one cycle of sunitinib therapy were evaluated in comparison with baseline images. Tumor-response software was created to quantify tumor metrics (length, area, VTB, and mean attenuation) and automate response assessment. Progression-free survival (PFS) in responders and nonresponders according to VTB criteria was compared by using the Cox proportional hazard ratio (HR). The intraclass correlation coefficient (ICC) was used to assess interobserver agreement among three readers evaluating 28 randomly selected patients. Results VTB criteria nonresponders (n = 120) according to the initial posttherapy CT study were 5.7 times more likely to experience progression of disease (HR = 5.70; 95% confidence interval [CI]: 4.07, 7.97; P < .001) than responders (n = 155). There was not a statistically significant difference in PFS between RECIST nonresponders (n = 255) and responders (n = 20; HR = 1.54; 95% CI: 0.85, 2.77; P = .148). In a patient-level analysis, interobserver agreement was very good for assessing percentage change in length, area, and VTB (ICC = 0.82 [95% CI: 0.67, 0.91], 0.89 [95% CI: 0.79, 0.94], and 0.88 [95% CI: 0.79, 0.94], respectively) but was very poor for assessing percentage change in mean attenuation (ICC = 0.17 [95% CI: -0.05, 0.45]). Conclusion A quantitative CT imaging biomarker designed to measure initial changes in the VTB separated patients into responders and nonresponders, each with significantly different PFS, and showed very good interobserver agreement in patients with metastatic RCC treated with sunitinib. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27603788     DOI: 10.1148/radiol.2016160143

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


  11 in total

1.  Society of Abdominal Radiology disease-focused panel on renal cell carcinoma: update on past, current, and future goals.

Authors:  Matthew S Davenport; Hersh Chandarana; Nicole E Curci; Ankur Doshi; Samuel D Kaffenberger; Ivan Pedrosa; Erick M Remer; Nicola Schieda; Atul B Shinagare; Andrew D Smith; Zhen J Wang; Shane A Wells; Stuart G Silverman
Journal:  Abdom Radiol (NY)       Date:  2018-09

Review 2.  Current Challenges in Diagnosis and Assessment of the Response of Locally Advanced and Metastatic Renal Cell Carcinoma.

Authors:  Alberto Diaz de Leon; Ali Pirasteh; Daniel N Costa; Payal Kapur; Hans Hammers; James Brugarolas; Ivan Pedrosa
Journal:  Radiographics       Date:  2019-06-14       Impact factor: 5.333

Review 3.  Radiomics in Kidney Cancer: MR Imaging.

Authors:  Alberto Diaz de Leon; Payal Kapur; Ivan Pedrosa
Journal:  Magn Reson Imaging Clin N Am       Date:  2019-02       Impact factor: 2.266

Review 4.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
Journal:  Semin Nucl Med       Date:  2020-06-10       Impact factor: 4.446

Review 5.  Imaging and Screening of Kidney Cancer.

Authors:  Alberto Diaz de Leon; Ivan Pedrosa
Journal:  Radiol Clin North Am       Date:  2017-11       Impact factor: 2.303

6.  Contrast media enhancement reduction predicts tumor response to presurgical molecular-targeting therapy in patients with advanced renal cell carcinoma.

Authors:  Shogo Hosogoe; Shingo Hatakeyama; Ayumu Kusaka; Itsuto Hamano; Yoshimi Tanaka; Kazuhisa Hagiwara; Hideaki Hirai; Satoko Morohashi; Hiroshi Kijima; Hayato Yamamoto; Yuki Tobisawa; Tohru Yoneyama; Takahiro Yoneyama; Yasuhiro Hashimoto; Takuya Koie; Chikara Ohyama
Journal:  Oncotarget       Date:  2017-07-25

7.  Deciphering Intratumoral Molecular Heterogeneity in Clear Cell Renal Cell Carcinoma with a Radiogenomics Platform.

Authors:  Durga Udayakumar; Ze Zhang; Yin Xi; Durgesh K Dwivedi; Michael Fulkerson; Sydney Haldeman; Tiffani McKenzie; Qurratulain Yousuf; Allison Joyce; Asghar Hajibeigi; Hollis Notgrass; Alberto Diaz de Leon; Qing Yuan; Matthew A Lewis; Ananth J Madhuranthakam; Robert C Sibley; Roy Elias; Junyu Guo; Alana Christie; Renée M McKay; Jeffrey A Cadeddu; Aditya Bagrodia; Vitaly Margulis; James Brugarolas; Tao Wang; Payal Kapur; Ivan Pedrosa
Journal:  Clin Cancer Res       Date:  2021-07-01       Impact factor: 12.531

8.  Initial computed tomography imaging details during first-line systemic therapy is of significant prognostic value in patients with naïve, unresectable metastatic renal cell carcinoma.

Authors:  Sung Han Kim; Weon Seo Park; Sun Ho Kim; Ho Kyung Seo; Jae Young Joung; Kang Hyun Lee; Jinsoo Chung
Journal:  PLoS One       Date:  2017-05-31       Impact factor: 3.240

9.  Signal changes in T2-weighted MRI of liver metastases under bevacizumab-A practical imaging biomarker?

Authors:  Johannes Thüring; Christiane Katharina Kuhl; Alexandra Barabasch; Lea Hitpass; Maike Bode; Nina Bünting; Philipp Bruners; Nils Andreas Krämer
Journal:  PLoS One       Date:  2020-03-31       Impact factor: 3.240

Review 10.  Imaging Advances in the Management of Kidney Cancer.

Authors:  Katherine M Krajewski; Ivan Pedrosa
Journal:  J Clin Oncol       Date:  2018-10-29       Impact factor: 44.544

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