Literature DB >> 20129132

Use of new imaging techniques to predict tumour response to therapy.

Vanessa N Harry1, Scott I Semple, David E Parkin, Fiona J Gilbert.   

Abstract

Imaging of tumour response to therapy has steadily evolved over the past few years as a result of advances in existing imaging modalities and the introduction of new functional techniques. The use of imaging as an early surrogate biomarker of response is appealing, because it might allow for a window of opportunity during which treatment regimens can be tailored accordingly, depending on the expected response. The clinical effect of this would ultimately result in a reduction in morbidity and undue costs. The aim of this review is to describe the potential of various new imaging techniques as biomarkers of early tumour response. We have reviewed the literature and identified studies that have assessed these techniques, such as diffusion-weighted MRI, dynamic contrast-enhanced MRI, magnetic resonance spectroscopy, and 18-fluorodeoxyglucose-PET as early response indicators, and highlight the current clinical awareness of their use. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20129132     DOI: 10.1016/S1470-2045(09)70190-1

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  69 in total

Review 1.  Evaluation of treatment response in patients with metastatic renal cell carcinoma: role of state-of-the-art cross-sectional imaging.

Authors:  Venkata S Katabathina; Nathalie Lassau; Ivan Pedrosa; Chaan S Ng; Srinivasa R Prasad
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

2.  Molecular biology: the key to personalised treatment in radiation oncology?

Authors:  D G Hirst; T Robson
Journal:  Br J Radiol       Date:  2010-09       Impact factor: 3.039

3.  Reproducibility of static and dynamic (18)F-FDG, (18)F-FLT, and (18)F-FMISO MicroPET studies in a murine model of HER2+ breast cancer.

Authors:  Jennifer G Whisenant; Todd E Peterson; Jacob U Fluckiger; Mohammed Noor Tantawy; Gregory D Ayers; Thomas E Yankeelov
Journal:  Mol Imaging Biol       Date:  2013-02       Impact factor: 3.488

Review 4.  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

Review 5.  Image-based biomarkers for solid tumor quantification.

Authors:  Peter Savadjiev; Jaron Chong; Anthony Dohan; Vincent Agnus; Reza Forghani; Caroline Reinhold; Benoit Gallix
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

6.  Multiparametric MRI biomarkers for measuring vascular disrupting effect on cancer.

Authors:  Huaijun Wang; Guy Marchal; Yicheng Ni
Journal:  World J Radiol       Date:  2011-01-28

7.  Apparent diffusion coefficient parametric response mapping MRI for follow-up of glioblastoma.

Authors:  Ra Gyoung Yoon; Ho Sung Kim; Dae Yoon Kim; Gil Sun Hong; Sang Joon Kim
Journal:  Eur Radiol       Date:  2015-07-10       Impact factor: 5.315

8.  Using semi-quantitative dynamic contrast-enhanced magnetic resonance imaging parameters to evaluate tumor hypoxia: a preclinical feasibility study in a maxillofacial VX2 rabbit model.

Authors:  Linfeng Zheng; Yujie Li; Feng Geng; Sujuan Zheng; Ruiling Yan; Yuedong Han; Qiben Wang; Zhuoli Zhang; Guixiang Zhang
Journal:  Am J Transl Res       Date:  2015-03-15       Impact factor: 4.060

Review 9.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

10.  Multiparametric fully-integrated 18-FDG PET/MRI of advanced gastric cancer for prediction of chemotherapy response: a preliminary study.

Authors:  Dong Ho Lee; Se Hyung Kim; Seock-Ah Im; Do-Youn Oh; Tae-Yong Kim; Joon Koo Han
Journal:  Eur Radiol       Date:  2015-11-28       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.