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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Author: search.filters.author.Ertas, GokhanHas files: No

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    Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures
    (WILEY-HINDAWI, 2017-01-01) Onay, Aslihan; Ertas, Gokhan; Vural, Metin; Acar, Omer; Saglican, Yesim; Coskun, Bilgen; Akpek, Sergin
    Purpose. To evaluate the aggressiveness of peripheral zone prostate cancer by correlating the Gleason score (GS) with the ratio of the diffusion tensor imaging (DTI) measures. Materials and Methods. Forty-two peripheral zone prostate tumors were imaged using DTI. Regions of interest focusing on the center of tumor foci and noncancerous tissue were used to extract statistical measures of mean diffusivity (MD) and fractional anisotroy (FA). Measure ratio was calculated by dividing tumor measure by noncancerous tissue measure. Results. Strong correlations are observable between GS and MD measures while weak correlations are present between GS and FA measures. Minimum tumor MD (MDmin) and the ratio of minimum MD (rMD(min)) show the same highest correlation with GS (both rho = -0.73). Between GS <= 7 (3 + 4) and GS >= 7 (4 + 3), differences are significant for all MD measures but for some FA measures. MD measures perform better than FA measures in discriminating GS >= 7 (4 + 3). Conclusion. Ratios of MD measures can be used in evaluation of peripheral zone prostate cancer aggressiveness
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    3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist
    (AVES, 2019-01-01) Arslan, Aydan; Ertas, Gokhan; Aribal, Erkin
    Objective: This study aimed to compare the automated breast ultrasound system (ABUS) reading time of breast radiologist to a radiology resident independent of the clinical outcomes. Materials and Methods: One hundred women who underwent screening ABUS between July and August 2017 were reviewed retrospectively. Each study was examined sequentially by a breast radiologist who has more than 20 years of experience in breast radiology and third year resident who has 6 months of experience in breast radiology. Data were analyzed with Spearman' correlation, Wilcoxon Signed Ranks Test and Kruskal-Wallis Test and was recorded. Results: The mean age of patients was 42.02 +/- 11.423 years (age range16-66). The average time for senior radiologist was 223.36 +/- 84.334 seconds (min 118 max 500 seconds). The average time for junior radiologist was 269.48 +/- 82.895 seconds (min 150 max 628 seconds). There was a significant difference between the mean time of two radiologists (p=0.00001). There was a significant difference regarding the decrease in the reading time throughout study with the increase of number of cases read by the breast radiologist (p<0.05)