Literature DB >> 35877201

Selective Cell Size MRI Differentiates Brain Tumors from Radiation Necrosis.

Sean P Devan1,2, Xiaoyu Jiang1,3, Guozhen Luo4, Jingping Xie1, James D Quirk5, John A Engelbach5, Hannah Harmsen6, Eliot T McKinley7, Jing Cui1,3, Zhongliang Zu1,3, Albert Attia4, Joel R Garbow5,8, John C Gore1,3,9,10, Colin D McKnight3, Austin N Kirschner4, Junzhong Xu1,3,9,10.   

Abstract

Brain metastasis is a common characteristic of late-stage lung cancers. High doses of targeted radiotherapy can control tumor growth in the brain but can also result in radiotherapy-induced necrosis. Current methods are limited for distinguishing whether new parenchymal lesions following radiotherapy are recurrent tumors or radiotherapy-induced necrosis, but the clinical management of these two classes of lesions differs significantly. Here, we developed, validated, and evaluated a new MRI technique termed selective size imaging using filters via diffusion times (SSIFT) to differentiate brain tumors from radiotherapy necrosis in the brain. This approach generates a signal filter that leverages diffusion time dependence to establish a cell size-weighted map. Computer simulations in silico, cultured cancer cells in vitro, and animals with brain tumors in vivo were used to comprehensively validate the specificity of SSIFT for detecting typical large cancer cells and the ability to differentiate brain tumors from radiotherapy necrosis. SSIFT was also implemented in patients with metastatic brain cancer and radiotherapy necrosis. SSIFT showed high correlation with mean cell sizes in the relevant range of less than 20 μm. The specificity of SSIFT for brain tumors and reduced contrast in other brain etiologies allowed SSIFT to differentiate brain tumors from peritumoral edema and radiotherapy necrosis. In conclusion, this new, cell size-based MRI method provides a unique contrast to differentiate brain tumors from other pathologies in the brain. SIGNIFICANCE: This work introduces and provides preclinical validation of a new diffusion MRI method that exploits intrinsic differences in cell sizes to distinguish brain tumors and radiotherapy necrosis. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35877201      PMCID: PMC9532360          DOI: 10.1158/0008-5472.CAN-21-2929

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  71 in total

1.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

Review 2.  Identification of prognostic factors in patients with brain metastases: a review of 1292 patients.

Authors:  F J Lagerwaard; P C Levendag; P J Nowak; W M Eijkenboom; P E Hanssens; P I Schmitz
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-03-01       Impact factor: 7.038

3.  Time-Dependent Diffusion MRI for Quantitative Microstructural Mapping of Prostate Cancer.

Authors:  Dan Wu; Kewen Jiang; Hai Li; Zelin Zhang; Ruicheng Ba; Yi Zhang; Yi-Cheng Hsu; Yi Sun; Yu-Dong Zhang
Journal:  Radiology       Date:  2022-03-08       Impact factor: 11.105

4.  Incidence proportions of brain metastases in patients diagnosed (1973 to 2001) in the Metropolitan Detroit Cancer Surveillance System.

Authors:  Jill S Barnholtz-Sloan; Andrew E Sloan; Faith G Davis; Fawn D Vigneau; Ping Lai; Raymond E Sawaya
Journal:  J Clin Oncol       Date:  2004-07-15       Impact factor: 44.544

Review 5.  Radiation injury of the brain.

Authors:  P E Valk; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  1991-01       Impact factor: 3.825

6.  Cerebral radiation necrosis: incidence, outcomes, and risk factors with emphasis on radiation parameters and chemotherapy.

Authors:  Jeremy D Ruben; Michael Dally; Michael Bailey; Robin Smith; Catriona A McLean; Pasqual Fedele
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-03-06       Impact factor: 7.038

7.  Mapping hepatocyte size in vivo using temporal diffusion spectroscopy MRI.

Authors:  Xiaoyu Jiang; Junzhong Xu; John C Gore
Journal:  Magn Reson Med       Date:  2020-04-25       Impact factor: 4.668

8.  Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial.

Authors:  Eric L Chang; Jeffrey S Wefel; Kenneth R Hess; Pamela K Allen; Frederick F Lang; David G Kornguth; Rebecca B Arbuckle; J Michael Swint; Almon S Shiu; Moshe H Maor; Christina A Meyers
Journal:  Lancet Oncol       Date:  2009-10-02       Impact factor: 41.316

9.  Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides.

Authors:  Jinyuan Zhou; Erik Tryggestad; Zhibo Wen; Bachchu Lal; Tingting Zhou; Rachel Grossman; Silun Wang; Kun Yan; De-Xue Fu; Eric Ford; Betty Tyler; Jaishri Blakeley; John Laterra; Peter C M van Zijl
Journal:  Nat Med       Date:  2010-12-19       Impact factor: 53.440

10.  Dynamic susceptibility MR perfusion in diagnosing recurrent brain metastases after radiotherapy: A systematic review and meta-analysis.

Authors:  Robert M Kwee; Thomas C Kwee
Journal:  J Magn Reson Imaging       Date:  2019-05-31       Impact factor: 4.813

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