Literature DB >> 33035135

Assessing Immunotherapy with Functional and Molecular Imaging and Radiomics.

Roberto García-Figueiras1, Sandra Baleato-González1, Antonio Luna1, José Muñoz-Iglesias1, Laura Oleaga1, Juan Antonio Vallejo Casas1, Teodoro Martín-Noguerol1, Jordi Broncano1, María Carmen Areses1, Joan C Vilanova1.   

Abstract

Immunotherapy is changing the treatment paradigm for cancer and has introduced new challenges in medical imaging. Because not all patients benefit from immunotherapy, pretreatment imaging should be performed to identify not only prognostic factors but also factors that allow prediction of response to immunotherapy. Follow-up studies must allow detection of nonresponders, without confusion of pseudoprogression with real progression to prevent premature discontinuation of treatment that can benefit the patient. Conventional imaging techniques and classic tumor response criteria are limited for the evaluation of the unusual patterns of response that arise from the specific mechanisms of action of immunotherapy, so advanced imaging methods must be developed to overcome these shortcomings. The authors present the fundamentals of the tumor immune microenvironment and immunotherapy and how they influence imaging findings. They also discuss advances in functional and molecular imaging techniques for the assessment of immunotherapy in clinical practice, including their use to characterize immune phenotypes, assess patient prognosis and response to therapy, and evaluate immune-related adverse events. Finally, the development of radiomics and radiogenomics in these therapies and the future role of imaging biomarkers for immunotherapy are discussed. Online supplemental material is available for this article. ©RSNA, 2020.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 33035135     DOI: 10.1148/rg.2020200070

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  4 in total

Review 1.  Challenges in ensuring the generalizability of image quantitation methods for MRI.

Authors:  Kathryn E Keenan; Jana G Delfino; Kalina V Jordanova; Megan E Poorman; Prathyush Chirra; Akshay S Chaudhari; Bettina Baessler; Jessica Winfield; Satish E Viswanath; Nandita M deSouza
Journal:  Med Phys       Date:  2021-09-29       Impact factor: 4.506

Review 2.  Technological advances in cancer immunity: from immunogenomics to single-cell analysis and artificial intelligence.

Authors:  Ying Xu; Guan-Hua Su; Ding Ma; Yi Xiao; Zhi-Ming Shao; Yi-Zhou Jiang
Journal:  Signal Transduct Target Ther       Date:  2021-08-20

3.  Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction.

Authors:  Leilei Shen; Hongchao Fu; Guangyu Tao; Xuemei Liu; Zheng Yuan; Xiaodan Ye
Journal:  Front Oncol       Date:  2021-04-23       Impact factor: 6.244

4.  Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy.

Authors:  Wen Li; Nu N Le; Natsuko Onishi; David C Newitt; Lisa J Wilmes; Jessica E Gibbs; Julia Carmona-Bozo; Jiachao Liang; Savannah C Partridge; Elissa R Price; Bonnie N Joe; John Kornak; Mark Jesus M Magbanua; Rita Nanda; Barbara LeStage; Laura J Esserman; Laura J Van't Veer; Nola M Hylton
Journal:  Cancers (Basel)       Date:  2022-09-13       Impact factor: 6.575

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.