Literature DB >> 30012524

Emerging Magnetic Resonance Imaging Technologies for Radiation Therapy Planning and Response Assessment.

Kyle M Jones1, Keith A Michel2, James A Bankson2, Clifton D Fuller3, Ann H Klopp3, Aradhana M Venkatesan4.   

Abstract

Functional and molecular MRI techniques are capable of measuring biologic properties of tumor tissue. Knowledge of these biological properties may improve radiation treatment by more accurately identifying tumor volumes, characterizing radioresistant subvolumes of tumor before radiation therapy (RT), and identifying recurrent disease after RT. Intravoxel incoherent motion MRI, blood oxygenation level-dependent MRI, tissue oxygenation level-dependent MRI, hyperpolarized 13C MRI, and chemical exchange saturation transfer MRI are relatively new MRI techniques that have shown promise for contributing to RT planning and response assessment. This review critically evaluates these emerging MR techniques, their potential role in RT planning, utility to date, and challenges to integration into the current clinical workflow.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30012524     DOI: 10.1016/j.ijrobp.2018.03.028

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  11 in total

Review 1.  The role of radiomics in prostate cancer radiotherapy.

Authors:  Rodrigo Delgadillo; John C Ford; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova
Journal:  Strahlenther Onkol       Date:  2020-08-21       Impact factor: 3.621

Review 2.  Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.

Authors:  Chengyue Wu; Guillermo Lorenzo; David A Hormuth; Ernesto A B F Lima; Kalina P Slavkova; Julie C DiCarlo; John Virostko; Caleb M Phillips; Debra Patt; Caroline Chung; Thomas E Yankeelov
Journal:  Biophys Rev (Melville)       Date:  2022-05-17

Review 3.  Imaging tumour hypoxia with oxygen-enhanced MRI and BOLD MRI.

Authors:  James P B O'Connor; Simon P Robinson; John C Waterton
Journal:  Br J Radiol       Date:  2019-01-24       Impact factor: 3.039

Review 4.  A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer.

Authors:  Jing Yuan; Darren M C Poon; Gladys Lo; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2022-02

5.  First prospective clinical evaluation of feasibility and patient acceptance of magnetic resonance-guided radiotherapy in Germany.

Authors:  Sebastian Klüter; Sonja Katayama; C Katharina Spindeldreier; Stefan A Koerber; Gerald Major; Markus Alber; Sati Akbaba; Jürgen Debus; Juliane Hörner-Rieber
Journal:  Strahlenther Onkol       Date:  2020-01-30       Impact factor: 3.621

6.  Contradiction between amide-CEST signal and pH in breast cancer explained with metabolic MRI.

Authors:  Erwin Krikken; Wybe J M van der Kemp; Vitaliy Khlebnikov; Thijs van Dalen; Maartje Los; Hanneke W M van Laarhoven; Peter R Luijten; Maurice A A J van den Bosch; Dennis W J Klomp; Jannie P Wijnen
Journal:  NMR Biomed       Date:  2019-05-28       Impact factor: 4.044

Review 7.  Laser-driven radiation: Biomarkers for molecular imaging of high dose-rate effects.

Authors:  Theodor Asavei; Mariana Bobeica; Viorel Nastasa; Gina Manda; Florin Naftanaila; Ovidiu Bratu; Dan Mischianu; Mihail O Cernaianu; Petru Ghenuche; Diana Savu; Dan Stutman; Kazuo A Tanaka; Mihai Radu; Domenico Doria; Paul R Vasos
Journal:  Med Phys       Date:  2019-08-29       Impact factor: 4.071

8.  A deep learning model to classify and detect brain abnormalities in portable microwave based imaging system.

Authors:  Amran Hossain; Mohammad Tariqul Islam; Ali F Almutairi
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

Review 9.  Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.

Authors:  Sara Leibfarth; René M Winter; Heidi Lyng; Daniel Zips; Daniela Thorwarth
Journal:  Clin Transl Radiat Oncol       Date:  2018-09-20

10.  Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling.

Authors:  David A Hormuth; Angela M Jarrett; Thomas E Yankeelov
Journal:  Radiat Oncol       Date:  2020-01-02       Impact factor: 3.481

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.