Literature DB >> 26773848

Diffusion MRI in early cancer therapeutic response assessment.

C J Galbán1, B A Hoff1, T L Chenevert1, B D Ross1.   

Abstract

Imaging biomarkers for the predictive assessment of treatment response in patients with cancer earlier than standard tumor volumetric metrics would provide new opportunities to individualize therapy. Diffusion-weighted MRI (DW-MRI), highly sensitive to microenvironmental alterations at the cellular level, has been evaluated extensively as a technique for the generation of quantitative and early imaging biomarkers of therapeutic response and clinical outcome. First demonstrated in a rodent tumor model, subsequent studies have shown that DW-MRI can be applied to many different solid tumors for the detection of changes in cellularity as measured indirectly by an increase in the apparent diffusion coefficient (ADC) of water molecules within the lesion. The introduction of quantitative DW-MRI into the treatment management of patients with cancer may aid physicians to individualize therapy, thereby minimizing unnecessary systemic toxicity associated with ineffective therapies, saving valuable time, reducing patient care costs and ultimately improving clinical outcome. This review covers the theoretical basis behind the application of DW-MRI to monitor therapeutic response in cancer, the analytical techniques used and the results obtained from various clinical studies that have demonstrated the efficacy of DW-MRI for the prediction of cancer treatment response.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cancer treatment response; diffusion-weighted MRI; functional diffusion map; imaging biomarker; review article

Mesh:

Year:  2016        PMID: 26773848      PMCID: PMC4947029          DOI: 10.1002/nbm.3458

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  215 in total

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Authors:  Yun Zhang; Bi-Ling Liang; Li Gao; Rui-Xin Ye; Jun Shen; Jing-Lian Zhong
Journal:  Ai Zheng       Date:  2007-05

2.  Diffusion-weighted magnetic resonance imaging of treatment-associated changes in recurrent and residual medulloblastoma: preliminary observations in three children.

Authors:  M I Schubert; M Wilke; S Müller-Weihrich; D P Auer
Journal:  Acta Radiol       Date:  2006-12       Impact factor: 1.990

3.  Dose painting in radiotherapy for head and neck squamous cell carcinoma: value of repeated functional imaging with (18)F-FDG PET, (18)F-fluoromisonidazole PET, diffusion-weighted MRI, and dynamic contrast-enhanced MRI.

Authors:  Piet Dirix; Vincent Vandecaveye; Frederik De Keyzer; Sigrid Stroobants; Robert Hermans; Sandra Nuyts
Journal:  J Nucl Med       Date:  2009-06-12       Impact factor: 10.057

4.  Evaluation of tumour necrosis during chemotherapy with diffusion-weighted MR imaging: preliminary results in osteosarcomas.

Authors:  Markus Uhl; Ulrich Saueressig; Gabriele Koehler; Udo Kontny; Charlotte Niemeyer; Wilfried Reichardt; Kamil Ilyasof; Thorsten Bley; Mathias Langer
Journal:  Pediatr Radiol       Date:  2006-10-10

5.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

6.  Role of diffusion-weighted imaging in evaluating therapeutic efficacy after transcatheter arterial chemoembolization for hepatocellular carcinoma.

Authors:  Kei Kubota; Tomoaki Yamanishi; Satoshi Itoh; Yoriko Murata; Kana Miyatake; Hiroaki Yasunami; Kazuo Morio; Norihiko Hamada; Akihito Nishioka; Yasuhiro Ogawa
Journal:  Oncol Rep       Date:  2010-09       Impact factor: 3.906

7.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

8.  Diffusion-weighted MRI in cervical cancer.

Authors:  Patrick Z McVeigh; Aejaz M Syed; Michael Milosevic; Anthony Fyles; Masoom A Haider
Journal:  Eur Radiol       Date:  2008-01-12       Impact factor: 5.315

9.  Test liquids for quantitative MRI measurements of self-diffusion coefficient in vivo.

Authors:  P S Tofts; D Lloyd; C A Clark; G J Barker; G J Parker; P McConville; C Baldock; J M Pope
Journal:  Magn Reson Med       Date:  2000-03       Impact factor: 4.668

Review 10.  Improving tumour heterogeneity MRI assessment with histograms.

Authors:  N Just
Journal:  Br J Cancer       Date:  2014-09-30       Impact factor: 7.640

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  29 in total

1.  Easy formulation of liposomal doxorubicin modified with a bombesin peptide analogue for selective targeting of GRP receptors overexpressed by cancer cells.

Authors:  Antonella Accardo; Silvia Mannucci; Elena Nicolato; Federica Vurro; Carlo Diaferia; Pietro Bontempi; Pasquina Marzola; Giancarlo Morelli
Journal:  Drug Deliv Transl Res       Date:  2019-02       Impact factor: 4.617

2.  Tracking tumor radiotherapy response in vivo with Cherenkov-excited luminescence ink imaging.

Authors:  Jennifer A Soter; Ethan P M LaRochelle; Brook K Byrd; Irwin I Tendler; Jason R Gunn; Boyu Meng; Rendy R Strawbridge; Dennis J Wirth; Scott C Davis; David J Gladstone; Lesley A Jarvis; Brian W Pogue
Journal:  Phys Med Biol       Date:  2020-04-28       Impact factor: 3.609

3.  Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients.

Authors:  T Sjöholm; J Kullberg; R Strand; M Engström; H Ahlström; F Malmberg
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

4.  In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Jingping Xie; Eliot T McKinley; Ping Zhao; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2016-08-06       Impact factor: 4.668

Review 5.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
Journal:  Semin Nucl Med       Date:  2020-06-10       Impact factor: 4.446

Review 6.  The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part II).

Authors:  Tanvi Vaidya; Archi Agrawal; Shivani Mahajan; M H Thakur; Abhishek Mahajan
Journal:  Mol Diagn Ther       Date:  2019-02       Impact factor: 4.074

Review 7.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

8.  Multimodal Imaging Techniques to Evaluate the Anticancer Effect of Cold Atmospheric Pressure Plasma.

Authors:  Marcel Kordt; Isabell Trautmann; Christin Schlie; Tobias Lindner; Jan Stenzel; Anna Schildt; Lars Boeckmann; Sander Bekeschus; Jens Kurth; Bernd J Krause; Brigitte Vollmar; Eberhard Grambow
Journal:  Cancers (Basel)       Date:  2021-05-19       Impact factor: 6.639

Review 9.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

10.  Early Detection of Treatment-Induced Mitotic Arrest Using Temporal Diffusion Magnetic Resonance Spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Ping Zhao; Jingping Xie; Dineo Khabele; Junzhong Xu; John C Gore
Journal:  Neoplasia       Date:  2016-06       Impact factor: 5.715

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