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GÜLTEKİN, MEHMET ALİ

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MEHMET ALİ
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GÜLTEKİN
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Now showing 1 - 10 of 12
  • PublicationMetadata only
    Relationship between KRAS mutation and diffusion weighted imaging in colorectal liver metastases; Preliminary study.
    (2020-02-25T00:00:00Z) Türk, HM; Gültekin, MEHMET ALİ; Uysal, Ö; Beşiroğlu, M; Yilmaz, TF; Yurtsever, I; GÜLTEKİN, MEHMET ALİ; TÜRK, HACI MEHMET; TOPRAK, HÜSEYİN; YURTSEVER, İSMAİL; YILMAZ, TEMEL FATİH; SHARIFOV, RASUL; UYSAL, ÖMER
    Purpose: We aimed to investigate whether there are any differences in apparent diffusion coefficient (ADC) values obtained from colorectal liver metastases (CRLM) according to Kirsten rat sarcoma (KRAS) gene mutation status.
  • PublicationMetadata only
    Papillary Lesions of the Breast: Addition of DWI and TIRM Sequences to Routine Breast MRI Could Help in Differentiation Benign from Malignant
    (2022-01-01T00:00:00Z) GÜLTEKİN, MEHMET ALİ; ÇELİK YABUL, FATMA; OTÇU TEMUR, HAFİZE; SARI, LÜTFULLAH; YILMAZ, TEMEL FATİH; TOPRAK, HÜSEYİN; YILDIZ, ŞEYMA; GÜLTEKİN, MEHMET ALİ; ÇELİK YABUL, FATMA; OTÇU TEMUR, HAFİZE; SARI, LÜTFULLAH; YILMAZ, TEMEL FATİH; TOPRAK, HÜSEYİN; YILDIZ, ŞEYMA
    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 & lt; 0.0001 for two radiologists), and showed a cut-off value of <= 957 x 10-6 mm(2/s) (radiologist 1) and <= 910 x 10-6 mm(2/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.
  • PublicationOpen Access
    Comparison of MRI Features of Invasive Pleomorphic and Classical Lobular Carcinoma: Differentiation Is Possible?
    (2022-01-01T00:00:00Z) YILMAZ, TEMEL FATİH; OTÇU TEMUR, HAFİZE; SARI, LÜTFULLAH; GÜCİN, ZÜHAL; GÜLTEKİN, MEHMET ALİ; ÇELİK YABUL, FATMA; TOPRAK, HÜSEYİN; YILDIZ, ŞEYMA; YILMAZ, TEMEL FATİH; OTÇU TEMUR, HAFİZE; SARI, LÜTFULLAH; GÜCİN, ZÜHAL; GÜLTEKİN, MEHMET ALİ; ÇELİK YABUL, FATMA; TOPRAK, HÜSEYİN; YILDIZ, ŞEYMA
    To evaluate breast MRI and DWI and demographic features of pleomorphic invasive lobular carcinoma (pILC) and classic invasive lobular carcinoma (cILC). Invasive lobular (ILC) is the second most common breast malignancy after invasive ductal carcinoma (IDC) and constitutes the 8-14% of all invasive breast cancers. ILC morphologically can be classified into the classic, alveolar, solid, tubulolobular, and pleomorphic subtypes according to WHO. This study was performed retrospectively. The MRI and demographic features of 18 patients with 23 pILC were compared with those 22 consecutive patients with 27 cILC. There was no significant difference in demographic features of patients, MR appearance, kinetics, and ADC values between two groups. pILC, an aggressive subtype of ILC, cannot be differentiated from cILC with breast MRI.
  • PublicationOpen Access
    Diffusion Tensor Imaging Can Discriminate the Primary Cell Type of Intracranial Metastases for Patients with Lung Cancer.
    (2021-03-04T00:00:00Z) Bilgin, Sabriye Sennur; Gultekin, Mehmet Ali; Yurtsever, Ismail; Yilmaz, Temel Fatih; Cesme, Dilek Hacer; Bilgin, Melike; Topcu, Atakan; Besiroglu, Mehmet; Turk, Haci Mehmet; Alkan, ALPAY; Bilgin, Mehmet; GÜLTEKİN, MEHMET ALİ; YURTSEVER, İSMAİL; YILMAZ, TEMEL FATİH; ÇEŞME, DİLEK HACER; TÜRK, HACI MEHMET; ALKAN, ALPAY; BİLGİN, MEHMET
    Purpose: Histopathological differentiation of primary lung cancer is clinically important. We aimed to investigate whether diffusion tensor imaging (DTI) parameters of metastatic brain lesions could predict the histopathological types of the primary lung cancer. Methods: In total, 53 patients with 98 solid metastatic brain lesions of lung cancer were included. Lung tumors were subgrouped as non-small cell carcinoma (NSCLC) (n = 34) and small cell carcinoma (SCLC) (n = 19). Apparent diffusion coefficient (ADC) and Fractional anisotropy (FA) values were calculated from solid enhanced part of the brain metastases. The association between FA and ADC values and histopathological subtype of the primary tumor was investigated. Results: The mean ADC and FA values obtained from the solid part of the brain metastases of SCLC were significantly lower than the NSCLC metastases (P < 0.001 and P = 0.003, respectively). ROC curve analysis showed diagnostic performance for mean ADC values (AUC=0.889, P = < 0.001) and FA values (AUC = 0.677, P = 0.002). Cut-off value of > 0.909 × 10-3 mm2/s for mean ADC (Sensitivity = 80.3, Specificity = 83.8, PPV = 89.1, NPV = 72.1) and > 0.139 for FA values (Sensitivity = 80.3, Specificity = 54.1, PPV = 74.2, NPV= 62.5) revealed in differentiating NSCLC from NSCLC. Conclusion: DTI parameters of brain metastasis can discriminate SCLC and NSCLC. ADC and FA values of metastatic brain lesions due to the lung cancer may be an important tool to differentiate histopathological subgroups. DTI may guide clinicians for the management of intracranial metastatic lesions of lung cancer.
  • PublicationMetadata only
    Meme kanseri beyin metastazlarının moleküler subgruplarının difüzyon tensor görüntüleme ile değerlendirilmesi
    (2019-04-27T00:00:00Z) Yurtsever, İsmail; Gültekin, Mehmet Ali; Yılmaz, Temel Fatih; Türk, Hacı Mehmet; Alkan, Alpay; YURTSEVER, İSMAİL; GÜLTEKİN, MEHMET ALİ; YILMAZ, TEMEL FATİH; TÜRK, HACI MEHMET; ALKAN, ALPAY
  • PublicationMetadata only
    The Utility and Efficiency of Diffusion Tensor Imaging Values to Determine Epidermal Growth Factor Receptor Gene Mutation Status in Brain Metastasis from Lung Adenocarcinoma; A Preliminary Study
    (2021-02-01T00:00:00Z) Gültekin, Mehmet Ali; Alkan, Alpay; Yılmaz, Temel Fatih; Yurtsever, İsmail; Atasoy, Bahar; Aliyev, Altay; GÜLTEKİN, MEHMET ALİ; TÜRK, HACI MEHMET; YURTSEVER, İSMAİL; YILMAZ, TEMEL FATİH; ALKAN, ALPAY
  • PublicationMetadata only
    Relationship with programmed cell death ligand 1 (PD-L1) and DTI features in brain metastases of non-small cell lung cancer; Preliminary study.
    (2021-02-17T00:00:00Z) Yurtsever, İsmail; Yilmaz, Temel Fatih; Turk, Hacı Mehmet; Gultekin, Mehmet Ali; Besiroglu, Mehmet; Cesme, DİLEK HACER; Shbair, Abdallah T M; Alkan, ALPAY; YILMAZ, TEMEL FATİH; YURTSEVER, İSMAİL; TÜRK, HACI MEHMET; GÜLTEKİN, MEHMET ALİ; ÇEŞME, DİLEK HACER; ALKAN, ALPAY
  • PublicationMetadata only
    Brain Diffusion Tensor Imaging Findings in Hashimoto-s Thyroiditis.
    (2020-11-06T00:00:00Z) Gultekin, MA; Yurtsever, I; Cesme, DİLEK HACER; Karaman, O; Yilmaz, TF; Alkan, ALPAY; GÜLTEKİN, MEHMET ALİ; ÇEŞME, DİLEK HACER; KARAMAN, ÖZCAN; YURTSEVER, İSMAİL; YILMAZ, TEMEL FATİH; ALKAN, ALPAY
  • PublicationMetadata only
    Relationship between KRAS mutation and diffusion tensor imaging features in brain metastases due to colorectal cancer; preliminary study
    (2021-05-01T00:00:00Z) Yılmaz, Temel Fatih; GÜLTEKİN, MEHMET ALİ; TÜRK, HACI MEHMET; YILMAZ, TEMEL FATİH; TOPÇU, ATAKAN; ÇOBAN, GANİME
    Identifying Kirsten rat sarcoma (KRAS) mutation status is important for metastatic colorectal cancer treatment. Validating KRAS mutation profile on neuroimaging without histopathologic analysis would be beneficial. We aimed to differentiate Kirsten rat sarcoma (KRAS) gene mutation profile according to diffusion tensor imaging (DTI) metrics obtained from colorectal brain metastases (CRBM). Total of 8 patients with 17 CRBM included with known KRAS gene mutation status. All patients were categorized into two groups according to the KRAS mutation status as positive (+) (n: 5, 11 lesions) and negative (-) (wild type) (n: 3, 6 lesions). DTI values of the BMs were evaluated by consensus of two radiologists. Apparent diffusion coefficient (ADC), normalized apparent diffusion coefficient (nADC) and fractional anisotropy (FA) values of the two groups were compared. For comparison the Mann-Whitney U test was used. KRAS mutation (+) group showed significantly lower ADC and nADC values on CRBM rather than the wild-type. Comparison of the FA values of the two groups did not reveal any statistical significance. In conclusion, decreased ADC and nADC values of CRBM are correlated with presence of KRAS mutation. Lower ADC and nADC values obtained from CRBM can be utilized to insight KRAS mutation profile.
  • PublicationMetadata only
    DIFFERENTIATION OF BRAIN METASTASES FROM BRAIN MRI WITH DEEP CNN
    (2021-02-17T00:00:00Z) GÜLTEKİN, MEHMET ALİ; PEKER, ABDUSSELİM ADİL; OKTAY, AYŞE BETÜL; TÜRK, HACI MEHMET; ÇEŞME, DİLEK HACER; Shbair, Abdallah; YILMAZ, TEMEL FATİH; KAYA, AHMET; YASİN, AYŞE İREM; ŞEKER, MESUT; MAYADAĞLI, ALPASLAN; ALKAN, ALPAY; GÜLTEKİN, MEHMET ALİ; PEKER, ABDUSSELİM ADİL; TÜRK, HACI MEHMET; YILMAZ, TEMEL FATİH; YASİN, AYŞE İREM; ŞEKER, MESUT; ALKAN, ALPAY