Literature DB >> 28306548

Repeated diffusion MRI reveals earliest time point for stratification of radiotherapy response in brain metastases.

Faisal Mahmood1, Helle H Johannesen, Poul Geertsen, Rasmus H Hansen.   

Abstract

An imaging biomarker for early prediction of treatment response potentially provides a non-invasive tool for better prognostics and individualized management of the disease. Radiotherapy (RT) response is generally related to changes in gross tumor volume manifesting months later. In this prospective study we investigated the apparent diffusion coefficient (ADC), perfusion fraction and pseudo diffusion coefficient derived from diffusion weighted MRI as potential early biomarkers for radiotherapy response of brain metastases. It was a particular aim to assess the optimal time point for acquiring the DW-MRI scan during the course of treatment, since to our knowledge this important question has not been addressed directly in previous studies. Twenty-nine metastases (N  =  29) from twenty-one patients, treated with whole-brain fractionated external beam RT were analyzed. Patients were scanned with a 1 T MRI system to acquire DW-, T2*W-, T2W- and T1W scans, before start of RT, at each fraction and at follow up two to three months after RT. The DW-MRI parameters were derived using regions of interest based on high b-value images (b  =  800 s mm-2). Both volumetric and RECIST criteria were applied for response evaluation. It was found that in non-responding metastases the mean ADC decreased and in responding metastases it increased. The volume based response proved to be far more consistently predictable by the ADC change found at fraction number 7 and later, compared to the linear response (RECIST). The perfusion fraction and pseudo diffusion coefficient did not show sufficient prognostic value with either response assessment criteria. In conclusion this study shows that the ADC derived using high b-values may be a reliable biomarker for early assessment of radiotherapy response for brain metastases patients. The earliest response stratification can be achieved using two DW-MRI scans, one pre-treatment and one at treatment day 7-9 (equivalent to 21 Gy).

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Year:  2017        PMID: 28306548     DOI: 10.1088/1361-6560/aa5249

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  12 in total

1.  ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Floris J Pos; Vivian W J van Pelt; Marlies E Nowee; Andreas Wetscherek; Rob H N Tijssen; Marielle E P Philippens; Daniela Thorwarth; Jihong Wang; Amita Shukla-Dave; William A Hall; Eric S Paulson; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2020-10-02       Impact factor: 6.280

2.  The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study.

Authors:  Yixin Wang; Jinwei Lang; Joey Zhaoyu Zuo; Yaqin Dong; Zongtao Hu; Xiuli Xu; Yongkang Zhang; Qinjie Wang; Lizhuang Yang; Stephen T C Wong; Hongzhi Wang; Hai Li
Journal:  Eur Radiol       Date:  2022-06-09       Impact factor: 5.315

Review 3.  Tyrosine Kinase Inhibitor Therapy for Brain Metastases in Non-Small-Cell Lung Cancer: A Primer for Radiologists.

Authors:  C Dodson; T J Richards; D A Smith; N H Ramaiya
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-26       Impact factor: 3.825

Review 4.  Therapy of breast cancer brain metastases: challenges, emerging treatments and perspectives.

Authors:  Nuria Kotecki; Florence Lefranc; Daniel Devriendt; Ahmad Awada
Journal:  Ther Adv Med Oncol       Date:  2018-06-22       Impact factor: 8.168

5.  DW-MRI for esophageal squamous cell carcinoma, correlations between ADC values with histologic differentiation and VEGF expression: A retrospective study.

Authors:  Qingxue Cong; Guang Li; Yongfeng Wang; Shanguo Zhang; Hao Zhang
Journal:  Oncol Lett       Date:  2019-01-15       Impact factor: 2.967

Review 6.  Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy.

Authors:  Petra J van Houdt; Yingli Yang; Uulke A van der Heide
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

Review 7.  Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation.

Authors:  Daniela Thorwarth; Matthias Ege; Marcel Nachbar; David Mönnich; Cihan Gani; Daniel Zips; Simon Boeke
Journal:  Phys Imaging Radiat Oncol       Date:  2020-10-17

8.  Daily Intravoxel Incoherent Motion (IVIM) In Prostate Cancer Patients During MR-Guided Radiotherapy-A Multicenter Study.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Vivian W J van Pelt; Marlies E Nowee; Floris Pos; Karolina Sikorska; Andreas Wetscherek; Arndt-Christian Müller; Daniela Thorwarth; Alison C Tree; Uulke A van der Heide
Journal:  Front Oncol       Date:  2021-08-13       Impact factor: 6.244

9.  Safety of gadolinium based contrast agents in magnetic resonance imaging-guided radiotherapy - An investigation of chelate stability using relaxometry.

Authors:  Faisal Mahmood; Ulla Gro Nielsen; Christian Brandt Jørgensen; Carsten Brink; Henrik S Thomsen; Rasmus Hvass Hansen
Journal:  Phys Imaging Radiat Oncol       Date:  2022-02-26

Review 10.  Quantitative imaging for radiotherapy purposes.

Authors:  Oliver J Gurney-Champion; Faisal Mahmood; Marcel van Schie; Robert Julian; Ben George; Marielle E P Philippens; Uulke A van der Heide; Daniela Thorwarth; Kathrine R Redalen
Journal:  Radiother Oncol       Date:  2020-02-27       Impact factor: 6.280

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