Mehmet Ali Gultekin

Dr. Mehmet Ali Gultekin


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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5 June 2024 in Abdominal Radiology
Verified
Journal Article
Closed access
PDF file
AAAhmet AKÇAY
Ahmet AKÇAY
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
FAFazılhan Altıntaş
Fazılhan Altıntaş
APAbdusselim Adil Peker
Abdusselim Adil Peker
SBSerdar Balsak
Serdar Balsak
HTHuseyin Toprak
Huseyin Toprak

1 April 2020 in European Journal of Radiology
Verified
Journal Article
Closed access
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
HTHacı Mehmet Türk
Hacı Mehmet Türk
MBMehmet Beşiroğlu
Mehmet Beşiroğlu
HTHüseyin Toprak
Hüseyin Toprak
IYIsmail Yurtsever
Ismail Yurtsever
ÖUÖmer Uysal
Ömer Uysal

1 November 2021 in Academic Radiology
Verified
Journal Article
Closed access
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
HTHacı Mehmet Turk
Hacı Mehmet Turk
IYIsmail Yurtsever
Ismail Yurtsever
DCDilek Hacer Cesme
Dilek Hacer Cesme
MSMesut Seker
Mesut Seker
AAAlpay Alkan
Alpay Alkan

9 September 2023 in Journal of Clinical Ultrasound
Verified
Journal Article
Closed access
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
APAbdusselim Adil Peker
Abdusselim Adil Peker
AOAyse Betul Oktay
Ayse Betul Oktay
HTHaci Mehmet Turk
Haci Mehmet Turk
DCDilek Hacer Cesme
Dilek Hacer Cesme
AAAlpay Alkan
Alpay Alkan

1 August 2022 in Current Medical Imaging
Verified
Journal Article
Closed access
PDF file
LSLutfullah Sari
Lutfullah Sari
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
FYFatma Yabul
Fatma Yabul
HTHafize Otçu Temur
Hafize Otçu Temur
TYTemel Fatih Yilmaz
Temel Fatih Yilmaz
SYSeyma Yildiz
Seyma Yildiz
Aim: We aimed to investigate the magnetic resonance imaging (MRI) features of benign, atypical, or malignant papillary breast lesions and to assess the additional value of diffusion-weighted imaging (DWI) and turbo inversion recovery magnitude (TIRM) sequences to routine breast MRI. Background: Differentiation between benign and malignant papillary breast lesions is essential for patient management. However, morphologic features and enhancement patterns of malignant papillary lesions may overlap with those of benign papilloma. Methods: Seventy-two papillary breast lesions (50 benign, 22 atypical or malignant) were included in the current study, retrospectively. We divided the patients into two groups: benign papillary breast lesions and atypical or malignant papillary breast lesions. Morphologic, dynamic, turbo inversion recovery magnitude (TIRM) values and diffusion features of the papillary lesions were compared between two groups. Results: Benign papillary lesions were smaller in size (p=0.006 and p=0.005, for radiologists 1 and 2 respectively), closer to the areola (p=0.045 and 0.049 for radiologist 1 and 2 respectively), and had higher ADC values (p=0.001 for two radiologists) than the atypical or malignant group. ROC curves showed diagnostic accuracy for ADC (AUC=0.770 and 0.762, p & amp; lt; 0.0001 for two radiologists), and showed a cut-off value of ≤ 957 x 10-6 mm2/s (radiologist 1) and ≤ 910 x 10-6 mm2/s (radiologist 2). Conclusion: MRI is a useful method for differentiation between benign and malignant papillary breast lesions. Centrally located, lesser in size, and higher ADC values should be considered benign, whereas peripherally located, larger in size, and lower ADC values should be considered malignant.

3 March 2021 in Journal of Computer Assisted Tomography
Verified
Journal Article
Closed access
DCDilek Hacer Cesme
Dilek Hacer Cesme
SASinem Aydin
Sinem Aydin
AAAlpay Alkan
Alpay Alkan
MGMehmet Ali Gultekin
Mehmet Ali Gultekin
APAbdusselim Adil Peker
Abdusselim Adil Peker
AIAkin Iscan
Akin Iscan
Objective To determine whether there is a difference between healthy control group and children with neurofibromatosis type 1 (NF1) in terms of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values in different regions of the brain associated with neurocognitive functions and to investigate the correlation between diffusion tensor imaging parameters and neurocognitive dysfunctions. Methods The study included 28 children with NF1 and 21 controls. Nine distinct areas related to cognitive functions were selected for the analysis. The ADC and FA values were compared. Results There was a significant difference between NF1 and healthy control in terms of ADC values obtained from all areas. The ADC values at obtained from thalamus and striatum were positively correlated with the full-scale intelligence quotient (IQ), verbal IQ, and performance IQ. Conclusions We are speculated that the development of microstructural damage in the thalamostriatal pathway may lead to neurocognitive dysfunction.