Mehmet Sedat Durmaz

Prof. Dr. Mehmet Sedat Durmaz


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 August 2017 in Journal of Ultrasound in Medicine
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Journal Article
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SASerdar Arslan
Serdar Arslan
AKAli Yavuz Karahan
Ali Yavuz Karahan
FOFatih Oncu
Fatih Oncu
SBSuleyman Bakdik
Suleyman Bakdik
MDMehmet Sedat Durmaz
Mehmet Sedat Durmaz
ITIsmet Tolu
Ismet Tolu

16 December 2017 in Journal of Medical Ultrasonics
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Journal Article
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MDMehmet Sedat Durmaz
Mehmet Sedat Durmaz
MSMesut Sivri
Mesut Sivri

17 March 2020 in Journal of Ultrasound
Verified
Journal Article
Closed access
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TKTurgay Kara
Turgay Kara
FAFatih Ateş
Fatih Ateş
MDMehmet Sedat Durmaz
Mehmet Sedat Durmaz
NANesibe Akyürek
Nesibe Akyürek
FDFunda Gökgöz Durmaz
Funda Gökgöz Durmaz
MOMehmet Ozturk
Mehmet Ozturk

25 November 2019 in Journal of Ultrasound in Medicine
Verified
Journal Article
Closed access
PDF file
SASerdar Arslan
Serdar Arslan
MDMehmet Sedat Durmaz
Mehmet Sedat Durmaz
HEHasan Erdogan
Hasan Erdogan
SESerpil Ergulu Esmen
Serpil Ergulu Esmen
BTBekir Turgut
Bekir Turgut
MİMehmet Sinan İyisoy
Mehmet Sinan İyisoy

1 June 2018 in Radiology Case Reports
Verified
Journal Article
Open access
MDMehmet Sedat Durmaz
Mehmet Sedat Durmaz
BÖBora Özbakır
Bora Özbakır
Molybdenum cofactor deficiency is an extremely rare and fatal metabolic disorder that should be considered in the differential diagnosis of hypoxic-ischemic encephalopathy. Magnetic resonance imaging findings are useful in diagnosis. The short-echo-time magnetic resonance spectrum was characterized by a total loss of signal and lipid and lactate peaks. In this case, conventional magnetic resonance imaging and magnetic resonance spectroscopy findings of this extremely rare disease whose pathophysiology was not known were presented.

16 January 2015 in La radiologia medica
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Journal Article
Open access
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CHCihad Hamidi
Cihad Hamidi
CGCemil Göya
Cemil Göya
SHSalih Hattapoğlu
Salih Hattapoğlu
ÖUÖmer Uslukaya
Ömer Uslukaya
MTMemik Teke
Memik Teke
GTGüven Tekbaş
Güven Tekbaş
The aim of the present study was to evaluate thyroid nodules using virtual touch quantification (VTQ) of force impulse acoustic radiation (ARFI) imaging and to investigate a cutoff value for the differentiation of malignant thyroid nodules. Ninety-five patients with quantitatively-assessed (VTQ) thyroid nodules were evaluated with ARFI imaging in this prospective study. ARFI imaging with VTQ was performed only on the nodules which were expected to undergo fine-needle aspiration biopsy (FNAB). All of the thyroid lesions were examined histopathologically. The mean shear wave velocity (SWV) value of the malignant nodules (3.18 ± 0.39 m/s) was higher than that of the benign nodules (2.11 ± 0.53 m/s). There was a statistically significant difference between the mean SWV values of benign and malignant nodules (p < 0.001). A SWV cutoff value of greater than 2.66 m/s yielded sensitivity and specificity values of 100 and 82.3 %, respectively, for diagnosis of malignant nodules. VTQ of ARFI imaging has high sensitivity and specificity for discriminating between benign and malignant thyroid nodules and may positively contribute to clinical evaluation of these nodules.