Literature DB >> 24510426

Therapy monitoring of skeletal metastases with whole-body diffusion MRI.

Anwar R Padhani1, Andreas Makris, Peter Gall, David J Collins, Nina Tunariu, Johann S de Bono.   

Abstract

Current methods of assessing tumor response at skeletal sites with metastatic disease use a combination of imaging tests, serum and urine biochemical markers, and symptoms assessment. These methods do not always enable the positive assessment of therapeutic benefit to be made but instead provide an evaluation of progression, which then guides therapy decisions in the clinic. Functional imaging techniques such as whole-body diffusion magnetic resonance imaging (MRI) when combined with anatomic imaging and other emerging "wet" biomarkers can improve the classification of therapy response in patients with metastatic bone disease. A range of imaging findings can be seen in the clinic depending on the type of therapy and duration of treatment. Successful response to systemic therapy is usually depicted by reductions in signal intensity accompanied by apparent diffusion coefficient (ADC) increases. Rarer patterns of successful treatment include no changes in signal intensity accompanying increases in ADC values (T2 shine-through pattern) or reductions in signal intensity without ADC value changes. Progressive disease results in increases in extent/intensity of disease on high b-value images with variable ADC changes. Diffusion MRI therapy response criteria need to be developed and tested in prospective studies in order to address current, unmet clinical and pharmaceutical needs for reliable measures of tumor response in metastatic bone disease.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  bone metastases; breast and prostate cancer; diffusion MRI; therapy monitoring; whole-body MRI

Mesh:

Year:  2014        PMID: 24510426     DOI: 10.1002/jmri.24548

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  27 in total

1.  Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study.

Authors:  Nicolas F Michoux; Jakub W Ceranka; Jef Vandemeulebroucke; Frank Peeters; Pierre Lu; Julie Absil; Perrine Triqueneaux; Yan Liu; Laurence Collette; Inneke Willekens; Carola Brussaard; Olivier Debeir; Stephan Hahn; Hubert Raeymaekers; Johan de Mey; Thierry Metens; Frédéric E Lecouvet
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  Enhancement of the low resolution image quality using randomly sampled data for multi-slice MR imaging.

Authors:  Yong Pang; Baiying Yu; Xiaoliang Zhang
Journal:  Quant Imaging Med Surg       Date:  2014-04

3.  Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer.

Authors:  Ming-Che Lee; Keh-Shih Chuang; Mu-Kuan Chen; Chi-Kuang Liu; Kwo-Whei Lee; Hui-Yu Tsai; Hsin-Hon Lin
Journal:  Br J Radiol       Date:  2016-05-11       Impact factor: 3.039

4.  Splenic Enlargement and Bone Marrow Hyperplasia in Patients Receiving Trastuzumab-Emtansine for Metastatic Breast Cancer.

Authors:  Michael Kosmin; Andreas Makris; Noorulhuda Jawad; David Woolf; David Miles; Anwar R Padhani
Journal:  Target Oncol       Date:  2017-04       Impact factor: 4.493

5.  Continuously moving table MRI with golden angle radial sampling.

Authors:  Saikat Sengupta; David S Smith; E Brian Welch
Journal:  Magn Reson Med       Date:  2014-12-02       Impact factor: 4.668

Review 6.  The future of PSMA PET and WB MRI as next-generation imaging tools in prostate cancer.

Authors:  Yishen Wang; Joao R Galante; Athar Haroon; Simon Wan; Asim Afaq; Heather Payne; Jamshed Bomanji; Sola Adeleke; Veeru Kasivisvanathan
Journal:  Nat Rev Urol       Date:  2022-07-04       Impact factor: 16.430

Review 7.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

Review 8.  Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop.

Authors:  Bachir Taouli; Ambros J Beer; Thomas Chenevert; David Collins; Constance Lehman; Celso Matos; Anwar R Padhani; Andrew B Rosenkrantz; Amita Shukla-Dave; Eric Sigmund; Lawrence Tanenbaum; Harriet Thoeny; Isabelle Thomassin-Naggara; Sebastiano Barbieri; Idoia Corcuera-Solano; Matthew Orton; Savannah C Partridge; Dow-Mu Koh
Journal:  J Magn Reson Imaging       Date:  2016-02-19       Impact factor: 4.813

9.  Early outcome prediction on 18F-fluorocholine PET/CT in metastatic castration-resistant prostate cancer patients treated with abiraterone.

Authors:  Ugo De Giorgi; Paola Caroli; Salvatore L Burgio; Cecilia Menna; Vincenza Conteduca; Emanuela Bianchi; Francesca Fabbri; Elisa Carretta; Dino Amadori; Giovanni Paganelli; Federica Matteucci
Journal:  Oncotarget       Date:  2014-12-15

10.  Effects of Sex and Age on Fat Fraction, Diffusion-Weighted Image Signal Intensity and Apparent Diffusion Coefficient in the Bone Marrow of Asymptomatic Individuals: A Cross-Sectional Whole-Body MRI Study.

Authors:  Alberto Colombo; Luca Bombelli; Paul E Summers; Giulia Saia; Fabio Zugni; Giulia Marvaso; Robert Grimm; Barbara A Jereczek-Fossa; Anwar R Padhani; Giuseppe Petralia
Journal:  Diagnostics (Basel)       Date:  2021-05-20
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