Assessing the Potential of Thermal Imaging in Recognition of Breast Cancer
The purpose of this study was to determine the diagnostic value of the breast tissue diseases by the help of thermography
Renal Sympathetic Denervation by CT-scan-Guided Periarterial Ethanol Injection in Sheep
To evaluate the feasibility, efficacy, and complications of computed tomography (CT)-guided periarterial ethanol injection
Differentiation of benign from malignant adnexal masses by functional 3 tesla MRI techniques: diffusion-weighted imaging and time-intensity curves of dynamic contrast-enhanced MRI
The aim of this study was to evaluate and compare the accuracy of diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) value, and time-intensity curve (TIC) type analysis derived from dynamic contrast-enhanced MR imaging (DCE-MRI) in differentiating benign from malignant adnexal masses
Complementary Role of Ultrasound in Management of Gestational Trophoblastic Disease
To identify an effective method to identify high-risk patients for developing malignancy after molar evacuation
The Value of Prostate MRI with Endorectal Coil in Detecting Seminal Vesicle Involvement in Patients with Prostate Cancer
In prostate cancer, detection of seminal vesicle involvement is important because it influences the treatment planning and prognosis of the patients.
Diagnostic accuracy of radiologic scoring system for evaluation of suspicious hirschsprung disease in children
Our objective was to devise another scoring system that uses a checklist of radiologic and clinical signs to determine the probability of HD in suspicious patients
Application of ultrasound elastography for determining carpal tunnel syndrome severity
To evaluate grey-scale and elastography ultrasound imaging findings in patients with CTS compared to nerve conductive studies.
Dynamic contrast-enhanced MRI for differentiation of major salivary glands neoplasms, a 3-T MRI study
This study was designed to evaluate the use of dynamic contrast-enhanced MRI (DCE-MRI) for differentiation between malignant, Warthin and benign non-Warthin (BNW) neoplasms of major salivary glands
Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis
we aimed to use a powerful method for multi-modal data fusion, known as a multi-kernel learning and performed automatic diagnosis of subjects. We included 30 patients with NMO, 25 patients with MS and 35 healthy volunteers and performed multi-modal imaging with T1-weighted high resolution scans, diffusion tensor imaging (DTI) and resting-state functional MRI (fMRI).
