SU-F-J-92: Predictive Value of Diffusion Tensor Imaging Parameters for Gamma Knife Radiosurgery in Meningiomas

2016 ◽  
Vol 43 (6Part10) ◽  
pp. 3427-3428
Author(s):  
H Speckter ◽  
J Bido ◽  
G Hernandez ◽  
L Suazo ◽  
D Rivera ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Gamma Knife ◽  
Predictive Value ◽  
Diffusion Tensor ◽  
Gamma Knife Radiosurgery ◽  
Imaging Parameters

scholarly journals Prognostic value of diffusion tensor imaging parameters for Gamma Knife radiosurgery in meningiomas

2016 ◽  
Vol 125 (Supplement_1) ◽  
pp. 83-88 ◽  
Author(s):  
Herwin Speckter ◽  
Jose Bido ◽  
Giancarlo Hernandez ◽  
Diones Rivera Mejía ◽  
Luis Suazo ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Gamma Knife ◽  
Tumor Size ◽  
Diffusion Tensor ◽  
Fibrous Tissue ◽  
Gamma Knife Radiosurgery ◽  
Mean Diffusivity ◽  
Prescription Dose ◽  
Diffusion Tensor Imaging Dti

OBJECTIVEDiffusion tensor imaging (DTI) parameters are able to differentiate between meningioma subtypes. The hypothesis that there is a correlation between DTI parameters and the change in tumor size after Gamma Knife radiosurgery (GKRS) was analyzed.METHODSDTI parameters were measured using MRI before GKRS in 26 patients with meningiomas. The findings were correlated with the change in tumor size after treatment as measured at the last follow-up (range 12.5–45 months).RESULTSOnly those meningiomas that showed the highest fractional anisotropy (FA), the lowest spherical index of the tensor ellipsoid (Cs), and the lowest radial diffusivity (RD) either increased or remained stable in terms of volume, whereas all other meningiomas decreased in volume. The correlation between the DTI parameters (correlation values of −0.81 for FA, 0.75 for Cs, 0.66 for RD, and 0.66 for mean diffusivity) and the rate of volume change per month was significant (p ≤ 0.001). Other factors, including original tumor size, prescription dose, and patient age, did not correlate significantly.CONCLUSIONSMeningiomas that show high FA values—as well as low Cs, low RD, and low mean diffusivity values—do not respond as well to GKRS in comparison with meningiomas with low FA values. This finding might be due to their higher content level of fibrous tissue. In particular, the meningioma with the highest FA value (0.444) considerably increased in volume (by 32.3% after 37 months), whereas the meningioma with the lowest FA value (0.151) showed the highest rate of reduction (3.3% per month) in this study.

The Effect of Imaging Parameters of Diffusion Tensor Imaging on Fractional Anisotropy

2007 ◽  
Vol 57 (4) ◽  
pp. 315
Author(s):  
Jae Su Jun ◽  
Hyun Jeong Kim ◽  
Po Song Yang ◽  
Choong Gon Choi ◽  
Sang Joon Kim ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Fractional Anisotropy ◽  
Diffusion Tensor ◽  
Imaging Parameters

Temporal disconnection between pain relief and trigeminal nerve microstructural changes after Gamma Knife radiosurgery for trigeminal neuralgia

2020 ◽  
Vol 133 (3) ◽  
pp. 727-735
Author(s):  
Peter Shih-Ping Hung ◽  
Sarasa Tohyama ◽  
Jia Y. Zhang ◽  
Mojgan Hodaie
Keyword(s):  
Pain Relief ◽  
Trigeminal Neuralgia ◽  
Pain Intensity ◽  
Gamma Knife ◽  
Trigeminal Nerve ◽  
Diffusion Tensor ◽  
Gamma Knife Radiosurgery ◽  
Time Points ◽  
Microstructural Effect

OBJECTIVEGamma Knife radiosurgery (GKRS) is a noninvasive surgical treatment option for patients with medically refractive classic trigeminal neuralgia (TN). The long-term microstructural consequences of radiosurgery and their association with pain relief remain unclear. To better understand this topic, the authors used diffusion tensor imaging (DTI) to characterize the effects of GKRS on trigeminal nerve microstructure over multiple posttreatment time points.METHODSNinety-two sets of 3-T anatomical and diffusion-weighted MR images from 55 patients with TN treated by GKRS were divided within 6-, 12-, and 24-month posttreatment time points into responder and nonresponder subgroups (≥ 75% and < 75% reduction in posttreatment pain intensity, respectively). Within each subgroup, posttreatment pain intensity was then assessed against pretreatment levels and followed by DTI metric analyses, contrasting treated and contralateral control nerves to identify specific biomarkers of successful pain relief.RESULTSGKRS resulted in successful pain relief that was accompanied by asynchronous reductions in fractional anisotropy (FA), which maximized 24 months after treatment. While GKRS responders demonstrated significantly reduced FA within the radiosurgery target 12 and 24 months posttreatment (p < 0.05 and p < 0.01, respectively), nonresponders had statistically indistinguishable DTI metrics between nerve types at each time point.CONCLUSIONSUltimately, this study serves as the first step toward an improved understanding of the long-term microstructural effect of radiosurgery on TN. Given that FA reductions remained specific to responders and were absent in nonresponders up to 24 months posttreatment, FA changes have the potential of serving as temporally consistent biomarkers of optimal pain relief following radiosurgical treatment for classic TN.

scholarly journals Diffusion Is Directional: Innovative Diffusion Tensor Imaging to Improve Prostate Cancer Detection

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 563
Author(s):  
Chen Shenhar ◽  
Hadassa Degani ◽  
Yaara Ber ◽  
Jack Baniel ◽  
Shlomit Tamir ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Tensor Imaging ◽  
Predictive Value ◽  
Breast Imaging ◽  
Normal Tissue ◽  
Diffusion Tensor ◽  
Peripheral Zone ◽  
Predictive Values ◽  
Directional Diffusion ◽  
Central Gland

In the prostate, water diffusion is faster when moving parallel to duct and gland walls than when moving perpendicular to them, but these data are not currently utilized in multiparametric magnetic resonance imaging (mpMRI) for prostate cancer (PCa) detection. Diffusion tensor imaging (DTI) can quantify the directional diffusion of water in tissue and is applied in brain and breast imaging. Our aim was to determine whether DTI may improve PCa detection. We scanned patients undergoing mpMRI for suspected PCa with a DTI sequence. We calculated diffusion metrics from DTI and diffusion weighted imaging (DWI) for suspected lesions and normal-appearing prostate tissue, using specialized software for DTI analysis, and compared predictive values for PCa in targeted biopsies, performed when clinically indicated. DTI scans were performed on 78 patients, 42 underwent biopsy and 16 were diagnosed with PCa. The median age was 62 (IQR 54.4–68.4), and PSA 4.8 (IQR 1.3–10.7) ng/mL. DTI metrics distinguished PCa lesions from normal tissue. The prime diffusion coefficient (λ1) was lower in both peripheral-zone (p < 0.0001) and central-gland (p < 0.0001) cancers, compared to normal tissue. DTI had higher negative and positive predictive values than mpMRI to predict PCa (positive predictive value (PPV) 77.8% (58.6–97.0%), negative predictive value (NPV) 91.7% (80.6–100%) vs. PPV 46.7% (28.8–64.5%), NPV 83.3% (62.3–100%)). We conclude from this pilot study that DTI combined with T2-weighted imaging may have the potential to improve PCa detection without requiring contrast injection.

A time‐course study of actively stained mouse brains: Diffusion tensor imaging parameters and connectomic stability over 1 year

2021 ◽  
Author(s):  
Jaclyn Xiao ◽  
Kathryn J. Hornburg ◽  
Gary Cofer ◽  
James J. Cook ◽  
Forrest Pratson ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Time Course ◽  
Diffusion Tensor ◽  
Imaging Parameters ◽  
Time Course Study

Age-related changes of the diffusion tensor imaging parameters of the normal cervical spinal cord

2014 ◽  
Vol 83 (12) ◽  
pp. 2196-2202 ◽  
Author(s):  
Kun Wang ◽  
Qingxin Song ◽  
Fan Zhang ◽  
Zhi Chen ◽  
Canglong Hou ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord ◽  
Imaging Parameters ◽  
Age Related ◽  
Age Related Changes
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