Literature DB >> 26773162

Quantitative Imaging in Cancer Clinical Trials.

Thomas E Yankeelov1, David A Mankoff2, Lawrence H Schwartz3, Frank S Lieberman4, John M Buatti5, James M Mountz6, Bradley J Erickson7, Fiona M M Fennessy8, Wei Huang9, Jayashree Kalpathy-Cramer10, Richard L Wahl11, Hannah M Linden12, Paul E Kinahan13, Binsheng Zhao3, Nola M Hylton14, Robert J Gillies15, Laurence Clarke16, Robert Nordstrom16, Daniel L Rubin17.   

Abstract

As anticancer therapies designed to target specific molecular pathways have been developed, it has become critical to develop methods to assess the response induced by such agents. Although traditional, anatomic CT, and MRI examinations are useful in many settings, increasing evidence suggests that these methods cannot answer the fundamental biologic and physiologic questions essential for assessment and, eventually, prediction of treatment response in the clinical trial setting, especially in the critical period soon after treatment is initiated. To optimally apply advances in quantitative imaging methods to trials of targeted cancer therapy, new infrastructure improvements are needed that incorporate these emerging techniques into the settings where they are most likely to have impact. In this review, we first elucidate the needs for therapeutic response assessment in the era of molecularly targeted therapy and describe how quantitative imaging can most effectively provide scientifically and clinically relevant data. We then describe the tools and methods required to apply quantitative imaging and provide concrete examples of work making these advances practically available for routine application in clinical trials. We conclude by proposing strategies to surmount barriers to wider incorporation of these quantitative imaging methods into clinical trials and, eventually, clinical practice. Our goal is to encourage and guide the oncology community to deploy standardized quantitative imaging techniques in clinical trials to further personalize care for cancer patients and to provide a more efficient path for the development of improved targeted therapies. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26773162      PMCID: PMC4717912          DOI: 10.1158/1078-0432.CCR-14-3336

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  30 in total

1.  Effects of cell volume fraction changes on apparent diffusion in human cells.

Authors:  A W Anderson; J Xie; J Pizzonia; R A Bronen; D D Spencer; J C Gore
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

2.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

3.  Lung cancer: computerized quantification of tumor response--initial results.

Authors:  Binsheng Zhao; Lawrence H Schwartz; Chaya S Moskowitz; Michelle S Ginsberg; Naiyer A Rizvi; Mark G Kris
Journal:  Radiology       Date:  2006-12       Impact factor: 11.105

4.  The Annotation and Image Mark-up project.

Authors:  David S Channin; Pattanasak Mongkolwat; Vladimir Kleper; Daniel L Rubin
Journal:  Radiology       Date:  2009-12       Impact factor: 11.105

Review 5.  Positron-emission tomography in prognostic and therapeutic assessment of lung cancer: systematic review.

Authors:  Johan Vansteenkiste; Barbara M Fischer; Christophe Dooms; Jann Mortensen
Journal:  Lancet Oncol       Date:  2004-09       Impact factor: 41.316

6.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 7.  From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors.

Authors:  Richard L Wahl; Heather Jacene; Yvette Kasamon; Martin A Lodge
Journal:  J Nucl Med       Date:  2009-05       Impact factor: 10.057

8.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

Review 9.  The lessons of GIST--PET and PET/CT: a new paradigm for imaging.

Authors:  Annick D Van den Abbeele
Journal:  Oncologist       Date:  2008

10.  [18F]Fluorothymidine positron emission tomography before and 7 days after gefitinib treatment predicts response in patients with advanced adenocarcinoma of the lung.

Authors:  Hee-Jung Sohn; You-Jung Yang; Jin-Sook Ryu; Seung Jun Oh; Ki Chun Im; Dae Hyuk Moon; Dae Ho Lee; Cheolwon Suh; Jung-Shin Lee; Sang-We Kim
Journal:  Clin Cancer Res       Date:  2008-11-15       Impact factor: 12.531

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  50 in total

Review 1.  Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data.

Authors:  David A Hormuth; Angela M Jarrett; Ernesto A B F Lima; Matthew T McKenna; David T Fuentes; Thomas E Yankeelov
Journal:  JCO Clin Cancer Inform       Date:  2019-02

2.  Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.

Authors:  Jared A Weis; Michael I Miga; Thomas E Yankeelov
Journal:  Comput Methods Appl Mech Eng       Date:  2016-09-01       Impact factor: 6.756

3.  Improving Cancer Diagnosis and Care: Patient Access to Oncologic Imaging Expertise.

Authors:  Sharyl J Nass; Christopher R Cogle; James A Brink; Curtis P Langlotz; Erin P Balogh; Ada Muellner; Dana Siegal; Richard L Schilsky; Hedvig Hricak
Journal:  J Clin Oncol       Date:  2019-05-03       Impact factor: 44.544

Review 4.  Advances in Imaging and Automated Quantification of Malignant Pulmonary Diseases: A State-of-the-Art Review.

Authors:  Bruno Hochhegger; Matheus Zanon; Stephan Altmayer; Gabriel S Pacini; Fernanda Balbinot; Martina Z Francisco; Ruhana Dalla Costa; Guilherme Watte; Marcel Koenigkam Santos; Marcelo C Barros; Diana Penha; Klaus Irion; Edson Marchiori
Journal:  Lung       Date:  2018-10-09       Impact factor: 2.584

Review 5.  Translating preclinical MRI methods to clinical oncology.

Authors:  David A Hormuth; Anna G Sorace; John Virostko; Richard G Abramson; Zaver M Bhujwalla; Pedro Enriquez-Navas; Robert Gillies; John D Hazle; Ralph P Mason; C Chad Quarles; Jared A Weis; Jennifer G Whisenant; Junzhong Xu; Thomas E Yankeelov
Journal:  J Magn Reson Imaging       Date:  2019-03-29       Impact factor: 4.813

6.  Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.

Authors:  Jia Wu; Yi Cui; Xiaoli Sun; Guohong Cao; Bailiang Li; Debra M Ikeda; Allison W Kurian; Ruijiang Li
Journal:  Clin Cancer Res       Date:  2017-01-10       Impact factor: 12.531

7.  The promise of multiparametric imaging in oncology: how do we move forward?

Authors:  Aniek J G Even; Dirk De Ruysscher; Wouter van Elmpt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-03-29       Impact factor: 9.236

Review 8.  Future cancer research priorities in the USA: a Lancet Oncology Commission.

Authors:  Elizabeth M Jaffee; Chi Van Dang; David B Agus; Brian M Alexander; Kenneth C Anderson; Alan Ashworth; Anna D Barker; Roshan Bastani; Sangeeta Bhatia; Jeffrey A Bluestone; Otis Brawley; Atul J Butte; Daniel G Coit; Nancy E Davidson; Mark Davis; Ronald A DePinho; Robert B Diasio; Giulio Draetta; A Lindsay Frazier; Andrew Futreal; Sam S Gambhir; Patricia A Ganz; Levi Garraway; Stanton Gerson; Sumit Gupta; James Heath; Ruth I Hoffman; Cliff Hudis; Chanita Hughes-Halbert; Ramy Ibrahim; Hossein Jadvar; Brian Kavanagh; Rick Kittles; Quynh-Thu Le; Scott M Lippman; David Mankoff; Elaine R Mardis; Deborah K Mayer; Kelly McMasters; Neal J Meropol; Beverly Mitchell; Peter Naredi; Dean Ornish; Timothy M Pawlik; Jeffrey Peppercorn; Martin G Pomper; Derek Raghavan; Christine Ritchie; Sally W Schwarz; Richard Sullivan; Richard Wahl; Jedd D Wolchok; Sandra L Wong; Alfred Yung
Journal:  Lancet Oncol       Date:  2017-10-31       Impact factor: 41.316

Review 9.  An Assessment of Imaging Informatics for Precision Medicine in Cancer.

Authors:  C Chennubhotla; L P Clarke; A Fedorov; D Foran; G Harris; E Helton; R Nordstrom; F Prior; D Rubin; J H Saltz; E Shalley; A Sharma
Journal:  Yearb Med Inform       Date:  2017-09-11

10.  Special Section Guest Editorial: Quantitative Imaging and the Pioneering Efforts of Laurence P. Clarke.

Authors:  Robert J Nordstrom
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-13
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