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    Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients
    (Turkish Soc Radiology, 2022) Kurt, Nazmi; Kurt, Busem Binboga; Gulsaran, Ugur; Uslu, Burak; Celik, Ahmet Onur; Sut, Necdet; Tastekin, Ebru
    PURPOSE This article will examine the usefulness of diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) on the assessment of axillary lymph nodes (ALN) of breast cancer patients. METHODS Axillary lymph nodes in 66 breast cancer patients were examined by DTI and DWI, and the largest lymph node with increased cortical thickness in axilla was selected. Morphological features, apparent diffusion coefficient (ADC), volume anisotropy, and fractional anisotropy values were measured by using a special software. Imaging findings and histopathological results were recorded. RESULTS Metastatic ALN were detected in 43 (65.1%) patients. Cortical thickness of the metastatic ALN was significantly higher than the non-metastatic ALNs (P <.001), and the long-axis-to-shortaxis ratio was significantly lower in metastatic ALNs (P <.001). There was a statistically significant difference between the ALN status and fatty hilum presence (P <.001). Apparent diffusion coefficient values of metastatic ALNs were statistically lower than those of non-metastatic ALNs (P <.001) using a cutoff value of 1.26 x 10(-3) mm(2)/s for b=500 ADC and 1.21 x 10(-3) mm(2)/s for b = 800 ADC which had 97.7% sensitivity and 91.3% specificity. Fractional anisotropy and volume anisotropy values were significantly different between both groups. A cutoff value of 0.47 for b-500 fractional anisotropy had 83.7% sensitivity, 69.6% specificity 69.6% positive predictive value, and 83.7% negative predictive value. A cutoff value of 0.33 for b = 500 volume anisotropy had 76.7% sensitivity, 78.3% specificity, 86.8% positive predictive value, and 64.3% negative predictive value. CONCLUSION Apparent diffusion coefficient value of metastatic ALNs was found to be significantly lower than those of non-metastatic ALN, and DTI metrics of metastatic ALN were found to be significantly higher than those of non-metastatic ALN. Overall, ADC had a better diagnostic performance than morphological features, fractional anisotropy, and volume anisotropy. Diffusion tensor imagingderived diffusion metrics may be used to complement breast magnetic resonance imaging in the future after further standardization of the imaging parameters.
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    EVALUATION OF ACCURACY OF SHEAR WAVE ELASTOGRAPHY AND SUPERB MICROVASCULAR IMAGING METHODS IN DIAGNOSIS OF PIRIFORMIS SYNDROME: A PRELIMINARY STUDY
    (Elsevier Science Inc, 2022) Gulsaran, Ugur; Ustabasioglu, Fatma; Gunay, Burak; Ustabasioglu, Fethi Emre
    Piriformis syndrome is a neuromuscular disease resulting from sciatic nerve compression caused by an abnormal condition in the piriformis muscle. Superb microvascular imaging (SMI) is a new ultrasound imag-ing technique that visualizes low-velocity and small-diameter blood vessel flow. In our prospectively designed study, we aimed to evaluate the accuracy of diagnosis of piriformis syndrome with innovative methods such as shear wave elastography (SWE) and SMI. Thirty-two patients diagnosed with unilateral piriformis syndrome were accepted to the statistical stage. The side without symptoms was considered the unaffected side Bilateral piriformis muscles were examined by ultrasonography. Muscle thickness was determined on gray scale, stiffness on SWE and vascularity characteristics on power Doppler and SMI by two independent radiologists. Piriformis muscle stiffness on the non-pathological (unaffected) side was measured by SWE as 18.27 +/- 7.301 kPa, and the mean stiffness on the pathological side was 29.70 +/- 10.095 kPa. Pathological side muscle stiffness was signifi-cantly higher (p < 0.05). Using innovative methods such as SWE and SMI in addition to conventional ultrasonog-raphy as much as possible in our daily practice and research helps us in making the correct diagnosis in piriformis syndrome. (E-mail addresses: ugurgulsaran@yandex.com.tr fatmaustabasioglu@gmail.com drburakgunay@gmail.com ustabasioglu@hotmail.com) (c) 2022 World Federation for Ultrasound in Medicine & Biology. All rights reserved.