Literature DB >> 21522122

Opportunities and pitfalls of cancer imaging in clinical trials.

Bruno Morgan1.   

Abstract

Cancer treatment strategies have changed considerably over the past two decades, with increasing emphasis on cancer-specific biological therapies. This situation has led to the incorporation of biomarkers, including those obtained by medical imaging, into trial designs to better understand mechanisms of action and, hopefully, to provide early evidence of treatment efficacy at a molecular or physiological level. Unlike blood tests and tissue samples, an imaging biomarker allows assessment of treatment in the whole tumor, in all tumors in the body, and at multiple time points. This situation has increased the complexity of clinical trials, as each imaging modality has issues related to cost, ease of use, patient compatibility, data analysis, and interpretation. This article reviews strengths and limitations of the current imaging methods available in clinical cancer trials, including MRI, CT, PET, and ultrasonography. The information gained by each test, and the difficulties in acquiring the data and interpreting it are also discussed in order to help researchers plan imaging in clinical trials and interpret data from such studies.

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Year:  2011        PMID: 21522122     DOI: 10.1038/nrclinonc.2011.62

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  116 in total

Review 1.  Perfusion CT for the assessment of tumour vascularity: which protocol?

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Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

2.  Response rate as an endpoint in clinical trials.

Authors:  Stephen L George
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3.  Pathophysiologic basis of contrast enhancement in breast tumors.

Authors:  M V Knopp; E Weiss; H P Sinn; J Mattern; H Junkermann; J Radeleff; A Magener; G Brix; S Delorme; I Zuna; G van Kaick
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

4.  Splenic fluorodeoxyglucose uptake increased by granulocyte colony-stimulating factor therapy: PET imaging results.

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Journal:  J Nucl Med       Date:  1999-09       Impact factor: 10.057

5.  Tumor microcirculation evaluated by dynamic magnetic resonance imaging predicts therapy outcome for primary rectal carcinoma.

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Journal:  Cancer Res       Date:  2001-03-15       Impact factor: 12.701

Review 6.  Imaging hypoxia and angiogenesis in tumors.

Authors:  Joseph G Rajendran; Kenneth A Krohn
Journal:  Radiol Clin North Am       Date:  2005-01       Impact factor: 2.303

7.  Reproducibility of perfusion parameters in dynamic contrast-enhanced MRI of lung and liver tumors: effect on estimates of patient sample size in clinical trials and on individual patient responses.

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Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

8.  MR elastography of liver tumors: preliminary results.

Authors:  Sudhakar K Venkatesh; Meng Yin; James F Glockner; Naoki Takahashi; Philip A Araoz; Jayant A Talwalkar; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2008-06       Impact factor: 3.959

9.  Evaluation of the role of magnetization transfer imaging in prostate: a preliminary study.

Authors:  Virendra Kumar; Naranamangalam R Jagannathan; Rajeev Kumar; Sanjay Thulkar; Siddhartha D Gupta; Ashok K Hemal; Narmada P Gupta
Journal:  Magn Reson Imaging       Date:  2008-04-23       Impact factor: 2.546

10.  MR classification of brain gliomas: value of magnetization transfer and conventional imaging.

Authors:  T Kurki; N Lundbom; H Kalimo; S Valtonen
Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

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  12 in total

Review 1.  Nanocarriers for tracking and treating diseases.

Authors:  Sean Marrache; Rakesh Kumar Pathak; Kasey L Darley; Joshua H Choi; Dhillon Zaver; Nagesh Kolishetti; Shanta Dhar
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2.  Tumor glucose metabolism imaged in vivo in small animals with whole-body photoacoustic computed tomography.

Authors:  Muhammad Rameez Chatni; Jun Xia; Rebecca Sohn; Konstantin Maslov; Zijian Guo; Yu Zhang; Kun Wang; Younan Xia; Mark Anastasio; Jeffrey Arbeit; Lihong V Wang
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

Review 3.  Imaging in oncology--over a century of advances.

Authors:  Bhuey Sharma; Axel Martin; Susannah Stanway; Stephen R D Johnston; Anastasia Constantinidou
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

Review 4.  Vessel caliber--a potential MRI biomarker of tumour response in clinical trials.

Authors:  Kyrre E Emblem; Christian T Farrar; Elizabeth R Gerstner; Tracy T Batchelor; Ronald J H Borra; Bruce R Rosen; A Gregory Sorensen; Rakesh K Jain
Journal:  Nat Rev Clin Oncol       Date:  2014-08-12       Impact factor: 66.675

Review 5.  Integrated Genomic Medicine: A Paradigm for Rare Diseases and Beyond.

Authors:  N J Schork; K Nazor
Journal:  Adv Genet       Date:  2017-07-25       Impact factor: 1.944

6.  Therapeutic efficacy and fate of bimodal engineered stem cells in malignant brain tumors.

Authors:  Jordi Martinez-Quintanilla; Deepak Bhere; Pedram Heidari; Derek He; Umar Mahmood; Khalid Shah
Journal:  Stem Cells       Date:  2013-08       Impact factor: 6.277

7.  Molecular image-directed biopsies: improving clinical biopsy selection in patients with multiple tumors.

Authors:  Stephanie A Harmon; Michael J Tuite; Robert Jeraj
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

8.  Identifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patients.

Authors:  Yong Yue; Arsen Osipov; Benedick Fraass; Howard Sandler; Xiao Zhang; Nicholas Nissen; Andrew Hendifar; Richard Tuli
Journal:  J Gastrointest Oncol       Date:  2017-02

9.  FDG-PET is a good biomarker of both early response and acquired resistance in BRAFV600 mutant melanomas treated with vemurafenib and the MEK inhibitor GDC-0973.

Authors:  Andreas R Baudy; Taner Dogan; Judith E Flores-Mercado; Klaus P Hoeflich; Fei Su; Nicholas van Bruggen; Simon-Peter Williams
Journal:  EJNMMI Res       Date:  2012-05-31       Impact factor: 3.138

Review 10.  Lipid- and polymer-based nanostructures for cancer theranostics.

Authors:  Brian T Luk; Ronnie H Fang; Liangfang Zhang
Journal:  Theranostics       Date:  2012-12-10       Impact factor: 11.556

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