Literature DB >> 18760935

Imaging techniques to evaluate the response to treatment in oncology: current standards and perspectives.

C D Marcus1, V Ladam-Marcus, C Cucu, O Bouché, L Lucas, C Hoeffel.   

Abstract

Response evaluation in solid tumours currently uses radiological imaging techniques to measure changes under treatment. Imaging requires a well-defined anatomical lesion to be viewed and relies on the measurement of a reduction in tumour size during treatment as the basis for presumed clinical benefit. However, with the development of anti-angiogenesis agents, anatomical imaging has became inappropriate as certain tumours would not reduce in size. Functional studies are therefore necessary and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), DCE-computed tomography (CT) and DCE-ultrasonography (US) are currently being evaluated for monitoring treatments. Diffusion-weighted MR imaging (DW-MRI) and magnetic resonance spectroscopy (MRS) are also capable of detecting changes in cell density and metabolite content within tumours. In this article, we review anatomical and functional criteria currently used for monitoring therapy. We review the published data on DCE-MRI, DCE-CT, DCE-US, DW-MRI and MRS. This literature review covers the following area: basic principles of the technique, clinical studies, reproducibility and repeatability, limits and perspectives in monitoring therapy. Anatomical criteria such as response evaluation criteria in solid tumours (RECIST) will require adaptation to employ not only new tools but also different complementary techniques such as functional imaging in order to monitor therapeutic effects of conventional and new anti-cancer agents.

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Year:  2008        PMID: 18760935     DOI: 10.1016/j.critrevonc.2008.07.012

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  58 in total

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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

2.  Quantitative MRI establishes the efficacy of PI3K inhibitor (GDC-0941) multi-treatments in PTEN-deficient mice lymphoma.

Authors:  Stephan Wullschleger; Juan M García-Martínez; Suzanne L Duce
Journal:  Anticancer Res       Date:  2012-02       Impact factor: 2.480

3.  To measure the unmeasurable.

Authors:  Michael Gnant
Journal:  World J Surg       Date:  2009-01       Impact factor: 3.352

Review 4.  Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data.

Authors:  Ashnil Kumar; Jinman Kim; Weidong Cai; Michael Fulham; Dagan Feng
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

5.  Clinical translation of ferumoxytol-based vessel size imaging (VSI): Feasibility in a phase I oncology clinical trial population.

Authors:  Jill Fredrickson; Natalie J Serkova; Shelby K Wyatt; Richard A D Carano; Andrea Pirzkall; Ina Rhee; Lee S Rosen; Alberto Bessudo; Colin Weekes; Alex de Crespigny
Journal:  Magn Reson Med       Date:  2016-02-26       Impact factor: 4.668

6.  Estimation of intra-operator variability in perfusion parameter measurements using DCE-US.

Authors:  Marianne Gauthier; Ingrid Leguerney; Jessie Thalmensi; Mohamed Chebil; Sarah Parisot; Pierre Peronneau; Alain Roche; Nathalie Lassau
Journal:  World J Radiol       Date:  2011-03-28

7.  Early prediction of tumor response to bevacizumab treatment in murine colon cancer models using three-dimensional dynamic contrast-enhanced ultrasound imaging.

Authors:  Jianhua Zhou; Huiping Zhang; Huaijun Wang; Amelie M Lutz; Ahmed El Kaffas; Lu Tian; Dimitre Hristov; Jürgen K Willmann
Journal:  Angiogenesis       Date:  2017-07-18       Impact factor: 9.596

8.  Contrast-enhanced ultrasonography assessment of gastric cancer response to neoadjuvant chemotherapy.

Authors:  Jian Ang; Liang Hu; Pin-Tong Huang; Jin-Xiu Wu; Ling-Na Huang; Chun-Hui Cao; Yi-Xiong Zheng; Li Chen
Journal:  World J Gastroenterol       Date:  2012-12-21       Impact factor: 5.742

9.  Serial diffusion MRI to monitor and model treatment response of the targeted nanotherapy CRLX101.

Authors:  Thomas S C Ng; David Wert; Hargun Sohi; Daniel Procissi; David Colcher; Andrew A Raubitschek; Russell E Jacobs
Journal:  Clin Cancer Res       Date:  2013-03-26       Impact factor: 12.531

10.  Magnetic resonance imaging defines cervicovaginal anatomy, cancer, and VEGF trap antiangiogenic efficacy in estrogen-treated K14-HPV16 transgenic mice.

Authors:  Joel R Garbow; Andrea C Santeford; Jeff R Anderson; John A Engelbach; Jeffrey M Arbeit
Journal:  Cancer Res       Date:  2009-09-29       Impact factor: 12.701

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