Literature DB >> 21512396

Monitoring response to antiangiogenic treatment and predicting outcomes in advanced hepatocellular carcinoma using image biomarkers, CT perfusion, tumor density, and tumor size (RECIST).

Tao Jiang1, Avinash Kambadakone, Naveen M Kulkarni, Andrew X Zhu, Dushyant V Sahani.   

Abstract

PURPOSE: Our aim was to investigate the hypothesis that the CT perfusion (CTP) is a more sensitive image biomarker when compared with tumor burden (Response Evaluation Criteria in Solid Tumors [RECIST]) and tumor density (HU) for monitoring treatment changes and for predicting long-term outcome in advanced hepatocellular carcinoma (HCC) treated with a combination of antiangiogenic treatment and chemotherapy.
MATERIAL AND METHODS: In this phase II clinical trial, 33 patients with advanced HCC were enrolled and 23 were included in the current study. A diagnostic dual-phase contrast-enhanced CT and perfusion CT was performed at baseline and days 10 to 12 after initiation of antiangiogenic treatment (Bevacizumab). The patients subsequently received bevacizumab in combination with gemcitabine and oxaliplatin (GEMOX-B) and contrast-enhanced CT was performed at the end of treatment (after completing 3 cycles of GEMOX-B chemotherapy) and after every 8 week until there was evidence of disease progression or intolerable toxicity. The CTP protocol included a targeted dynamic cine acquisition for 25 to 30 seconds after 50 to 70 mL of iodinated contrast media injection at 5 to 7 mL/s. The CTP parameters were compared with tumor size (according to Response Evaluation Criteria in Solid Tumors, RECIST 1.1) and density measurements (HU) before and after treatment and correlated with patient's outcome in groups with and without tumor thrombus. A one-sided P value was calculated and the Bonferroni correction was used to address the issue of multiple comparisons.
RESULTS: On days 10 to 12 after initiation of bevacizumab, significant decrease in CTP parameters was noted (P < 0.005). There was a mild reduction in mean tumor density (P = 0.016) without any significant change in mean tumor size. Tumors with higher baseline mean transit time values on CTP correlated with favorable clinical outcome (partial response and stable disease) and had better 6 months progression-free survival (P = 0.002 and P = 0.005, respectively). The baseline transfer constant (Ktrans) of responders (1425.19 ± 609.47 mL/1000 mL/min) was significantly higher than that of nonresponders (935.96 ± 189.47 mL/1000 mL/min). The tumor thrombus in the portal vein demonstrated baseline perfusion values and post-treatment change values similar to the HCC.
CONCLUSION: In advanced HCC, CTP is a more sensitive image biomarker for monitoring early antiangiogenic treatment effects as well as in predicting outcome at the end of treatment and progression-free survival as compared with RECIST and tumor density.

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Year:  2012        PMID: 21512396     DOI: 10.1097/RLI.0b013e3182199bb5

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  58 in total

1.  Treatment Response After Unusual Low Dose Sorafenib: Diagnosis with Perfusion CT and Follow-up in a Patient with Recurrent Hepatocellular Carcinoma.

Authors:  Rodolfo Sacco; Lorenzo Faggioni; Irene Bargellini; Antonio Romano; Marco Bertini; Barbara Ginanni; Valentina Battaglia; Michele Bertoni; Elena Bozzi; Graziana Federici; Salvatore Metrangolo; Giuseppe Parisi; Emanuele Neri; Elisabetta Sodini; Emanuele Tumino; Giampaolo Bresci; Carlo Bartolozzi
Journal:  J Gastrointest Cancer       Date:  2012-09

Review 2.  Imaging-based tumor treatment response evaluation: review of conventional, new, and emerging concepts.

Authors:  Hee Kang; Ho Yun Lee; Kyung Soo Lee; Jae-Hun Kim
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

3.  Time-resolved computed tomography of the liver: retrospective, multi-phase image reconstruction derived from volumetric perfusion imaging.

Authors:  Michael A Fischer; Bertil Leidner; Nikolaos Kartalis; Anders Svensson; Peter Aspelin; Nils Albiin; Torkel B Brismar
Journal:  Eur Radiol       Date:  2013-08-31       Impact factor: 5.315

4.  Improved image quality in abdominal CT in patients who underwent treatment for hepatocellular carcinoma with small metal implants using a raw data-based metal artifact reduction algorithm.

Authors:  Keitaro Sofue; Takeshi Yoshikawa; Yoshiharu Ohno; Noriyuki Negi; Hiroyasu Inokawa; Naoki Sugihara; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2016-12-02       Impact factor: 5.315

5.  Evaluation of the effect of image noise on CT perfusion measurements using digital perfusion phantoms.

Authors:  Stephan Skornitzke; Jessica Hirsch; Hans-Ulrich Kauczor; Wolfram Stiller
Journal:  Eur Radiol       Date:  2018-10-11       Impact factor: 5.315

6.  Liver CT perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy?

Authors:  Alessandro Bevilacqua; Silvia Malavasi; Valérie Vilgrain
Journal:  Eur Radiol       Date:  2019-05-21       Impact factor: 5.315

7.  Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease.

Authors:  Osman Melih Topcuoğlu; Muşturay Karçaaltıncaba; Deniz Akata; Mustafa Nasuh Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

8.  Hepatocellular carcinoma enhancement on contrast-enhanced CT and MR imaging: response assessment after treatment with sorafenib: preliminary results.

Authors:  Giuseppe Salvaggio; Alessandro Furlan; Francesco Agnello; Giuseppe Cabibbo; Daniele Marin; Lydia Giannitrapani; Chiara Genco; Massimo Midiri; Roberto Lagalla; Giuseppe Brancatelli
Journal:  Radiol Med       Date:  2013-12-03       Impact factor: 3.469

9.  Novel Imaging Diagnosis for Hepatocellular Carcinoma: Consensus from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014).

Authors:  Bang-Bin Chen; Takamichi Murakami; Tiffany Ting-Fang Shih; Michiie Sakamoto; Osamu Matsui; Byung-Ihn Choi; Myeong-Jin Kim; Jeong Min Lee; Ren-Jie Yang; Meng-Su Zeng; Ran-Chou Chen; Ja-Der Liang
Journal:  Liver Cancer       Date:  2015-10-15       Impact factor: 11.740

10.  Radiological-pathological analysis of WHO, RECIST, EASL, mRECIST and DWI: Imaging analysis from a prospective randomized trial of Y90 ± sorafenib.

Authors:  Michael Vouche; Laura Kulik; Rohi Atassi; Khairuddin Memon; Ryan Hickey; Daniel Ganger; Frank H Miller; Vahid Yaghmai; Michael Abecassis; Talia Baker; Mary Mulcahy; Ritu Nayar; Robert J Lewandowski; Riad Salem
Journal:  Hepatology       Date:  2013-10-01       Impact factor: 17.425

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