Can Apparent Diffusion Coefficient (ADC) maps replace Diffusion Tensor Imaging (DTI) maps to predict the volumetric response of meningiomas to Gamma Knife Radiosurgery?
H. Speckter,Sarai Palque-Santos,Ruben Mota-Gonzalez,Jose Bido,Giancarlo Hernandez,Diones Rivera,Luis Suazo,Santiago Valenzuela,Maria Gonzalez-Curi,Peter Stoeter +9 more
TL;DR: In this article , the predictive value of intratumoral ADC and DTI parameters in patients with meningiomas undergoing radiosurgery was analyzed and compared with simultaneously acquired DTI parameter maps.
read more
Abstract: Noninvasive methods are desired to predict the treatment response to Stereotactic Radiosurgery (SRS) to improve individual tumor management. In a previous study, we demonstrated that Diffusion Tensor Imaging (DTI)-derived parameter maps significantly correlate to SRS response. This study aimed to analyze and compare the predictive value of intratumoral ADC and DTI parameters in patients with meningiomas undergoing radiosurgery.MR images of 70 patients treated with Gamma Knife SRS for WHO grade I meningiomas were retrospectively reviewed. MR acquisition included pre- and post-treatment DWI and DTI sequences, and subtractions were calculated to assess for radiation-induced changes in the parameter values.After a mean follow-up period (FUP) of 52.7 months, 69 of 70 meningiomas were controlled, with a mean volume reduction of 34.9%. Whereas fractional anisotropy (FA) values of the initial exam showed the highest correlation to tumor volume change at the last FU (CC = - 0.607), followed by the differences between first and second FU values of FA (CC = - 0.404) and the first longitudinal diffusivity (LD) value (CC = - 0.375), the correlation coefficients of all ADC values were comparably low. Nevertheless, all these correlations, except for ADC measured at the first follow-up, reached significance.For the first time, the prognostic value of ADC maps measured in meningiomas before and at first follow-up after Gamma Knife SRS, was compared to simultaneously acquired DTI parameter maps. Quantities assessed from ADC maps present significant correlations to the volumetric meningioma response but are less effective than correlations with DTI parameters.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
References
The Tumour Microenvironment after Radiotherapy: Mechanisms of Resistance and Recurrence
TL;DR: Vascular, stromal and immunological changes that are induced in the tumour microenvironment by irradiation are described and how these changes may promote radioresistance and tumour recurrence are discussed.
Radiation-induced cell death mechanisms.
David Eriksson,Torgny Stigbrand +1 more
TL;DR: In this review, apoptosis and mitotic catastrophe, the two major cell deaths induced by radiation, are described and dissected in terms of activating mechanisms.
655
Meningiomas: knowledge base, treatment outcomes, and uncertainties. A RANO review
Leland Rogers,Igor J. Barani,Marc C. Chamberlain,Thomas Kaley,Michael W. McDermott,Jeffrey Raizer,David Schiff,Damien C. Weber,Patrick Y. Wen,Michael A. Vogelbaum +9 more
TL;DR: This review summarizes the published literature regarding the treatment of newly diagnosed and recurrent meningioma with an emphasis on outcomes stratified by WHO tumor grade, and focuses on patient outcomes following treatment with surgery or radiation therapy.
•Journal Article
Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury.
TL;DR: Assessment of ADC ratios of enhancing regions in the follow-up of treated high-grade gliomas is useful in differentiating radiation effects from tumor recurrence or progression from treatment-induced damage to brain parenchyma.
400
The linear quadratic model: usage, interpretation and challenges
TL;DR: Current usage of the LQ model is discussed, its historical context, what the authors now know about its mechanistic underpinnings, and the potential challenges and confounding factors that arise when trying to apply it across a range of systems are discussed.
347