Time|Dependent Diffusion MRI Helps Predict Molecular Subtypes ...

Machine learning-based prediction of motor status in glioma patients ...

Shams et al. report that glioma patients' motor status is predicted accurately by diffusion MRI metrics along the corticospinal tract based ...

Apparent diffusion coefficient for molecular subtyping of non ...

For the non-invasive identification of low to intermediate IDHwt glioma, diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) ...

Diffusion MRI - an overview | ScienceDirect Topics

Diffusion MRI has been employed to obtain information on the mechanisms of the disease, support diagnosis and predict prognosis, although the success of its ...

Diffusion-weighted magnetic resonance imaging - Wikipedia

It allows the mapping of the diffusion process of molecules, mainly water, in biological tissues, in vivo and non-invasively. Molecular diffusion in tissues is ...

Diffusion tensor image features predict IDH genotype in newly ...

We hypothesized that machine learning analysis based on texture information from the preoperative MRI can predict IDH mutational status in ...

Deep learning features from diffusion tensor imaging improve ...

DTI-derived DLS provides a noninvasive approach to stratify glioma patients and offers molecular signatures to inform personalized treatment.

Diffusion MRI predicts response of brain tumours to treatment

After 3 weeks of treatment, diffusion MRI scans differed greatly between patients: some showed an increase in water diffusion whereas others showed a decrease ...

Breast Cancer Subtypes and Quantitative Magnetic Resonance ...

We present a summary of the quantitative MRI features and their correlations with breast cancer subtypes. In DCE studies, conflicting results ...

Magnetic resonance imaging correlation with molecular and ...

DCE-MRI imaging is a noninvasive method for determination of the molecular subtypes. This method can support comprehensive evaluation of ...

Machine learning with textural analysis of longitudinal ... - PLOS

Data types used included tumor ADC values, diffusion-weighted and dynamic-contrast-enhanced MRI at three treatment timepoints, and patient ...

HER2 Status Prediction in Patients With Breast Cancer - Frontiers

... MRI: Can it Help Predict Malignancy ... Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers.

Diffusion-MRI-based regional cortical microstructure at birth ... - eLife

Here we aimed to evaluate the neonate whole-brain cortical microstructure quantified by diffusion MRI for predicting future behavior. We ...

Diffusion-weighted MRI for predicting pathologic response to ...

To investigate the performance of diffusion-weighted (DW) MRI with mono-, bi- and stretched-exponential models in predicting pathologic ...

Combining Multi-Shell Diffusion with Conventional MRI Improves ...

This motivates the development of non-invasive diagnostic methods, in particular MRI, to predict molecular subtypes of gliomas before surgery.

Multiparametric Approach to Breast Cancer With Emphasis on...

In addition to DCE-MRI, diffusion-weighted imaging provides information associated with tumor cell density, with advanced diffusion-weighted imaging techniques ...

Voxelwise and Patientwise Correlation of 18F-FDOPA PET, Relative ...

However, there have been no studies evaluating the correlations of amino acid PET with physiologic MRI in different molecular subtypes or the ...

Diffusion - Questions and Answers in MRI

According to the random walk model, this means that during the ~50 ms time frame of a diffusion-weighted imaging sequence, about 2/3 of tissue water molecules ...

Improved diagnostic confidence and tumor type prediction in adult ...

Diffusion kurtosis imaging and dynamic contrast-enhanced perfusion-weighted imaging are valuable tools in the preoperative imaging of primary brain tumors, ...

The diagnostic accuracy of magnetic resonance imaging in ...

Conclusions: The overall accuracy of MRI in predicting pCR in invasive breast cancer patients who received NAC was 93.8%. The performance of MRI differed among ...

Multiparametric MRI–based radiomic models for early prediction of ...

... molecular subtypes and 396 radiomic texture features from multiparametric MRI. ... MRI to predict pCR to NAST in patients with all breast cancer subtypes,.