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ŞİMŞEK, MELİH

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MELİH
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ŞİMŞEK
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Now showing 1 - 4 of 4
  • PublicationOpen Access
    Diagnostic performance of apparent diffusion coefficient values for the differentiation of intrahepatic cholangiocarcinoma from gastrointestinal adenocarcinoma liver metastases
    (2021-12-22T00:00:00Z) Yilmaz, TEMEL FATİH; Gultekin, Mehmet Ali; Turk, Hacı Mehmet; Cesme, Dilek Hacer; Besiroglu, Mehmet; Simsek, Melih; Toprak, Huseyin; Alkan, ALPAY; YILMAZ, TEMEL FATİH; TÜRK, HACI MEHMET; ÇEŞME, DİLEK HACER; ŞİMŞEK, MELİH; ALKAN, ALPAY; TOPRAK, HÜSEYİN
    Background: We aimed to investigate whether there is a difference between intrahepatic cholangiocarcinoma (IHCC) and liver metastases of gastrointestinal system (GIS) adenocarcinoma in terms of apparent diffusion coefficient (ADC) values. Patients and methods: From January 2018 to January 2020, we retrospectively examined 64 consecutive patients with liver metastases due to gastrointestinal system adenocarcinomas and 13 consecutive IHCC in our hospital's medical records. After exclusions, fifty-three patients with 53 liver metastases and 10 IHCC were included in our study. We divided the patients into two groups as IHCC and liver metastases of GIS adenocarcinoma. For mean apparent diffusion coefficient (ADCmean) values, the region of interests (ROI) was placed in solid portions of the lesions. ADCmean values of groups were compared. Results: The mean age of IHCC group was 62.50 ± 13.49 and mean age of metastases group was 61.15 ± 9.18. ADCmean values were significantly higher in the IHCC group compared to the metastatic group (p < 0.001). ROC curves method showed high diagnostic accuracy (AUC = 0.879) with cut-off value of < 1178 x 10-6 mm2/s for ADCmean (Sensitivity = 90.57, Specificity = 70.0, positive predictive value [PPV] = 94.1, negative predictive value [NPV] = 58.3) in differentiating adenocarcinoma metastases from IHCC. Conclusions: The present study results suggest that ADC values have a potential role for differentiation between IHCC and GIS adenocarcinoma liver metastases which may be valuable for patient management.
  • PublicationOpen Access
    Breast Cancer Patients with Brain Metastases: A Cross-Sectional Study.
    (2022-08-19T00:00:00Z) Simsek, MELİH; Aliyev, Altay; Baydas, Tuba; Besiroglu, Mehmet; Demir, Tarik; Shbair, Abdallah Tm; Seker, Mesut; Turk, H Mehmet; ŞİMŞEK, MELİH; TÜRK, HACI MEHMET
    The prognosis of breast cancer patients with brain metastasis is poor. It was aimed to define the clinicopathological features of breast cancer patients with brain metastases and to determine the risk factors and survival outcomes associated with brain metastasis. This is a single-center, retrospective, cross-sectional study. A total number of 127 patients diagnosed with breast cancer and who developed brain metastasis between January 2011 and March 2021 were retrospectively analyzed. The survival and clinicopathological data of these patients according to 4 biological subtypes were evaluated (luminal A, luminal B, HER-2 overexpressing, and triple-negative). The median overall survival for all patients was 45.6 months. The median time from the diagnosis of breast cancer to the occurrence of brain metastasis was 29.7 months, and the median survival time after brain metastasis was 7.2 months. The time from the diagnosis of breast cancer to brain metastasis development was significantly shorter in HER-2 overexpressing and triple-negative subtypes than in luminal A and B subtypes. The median time from breast cancer diagnosis to brain metastasis was 33.5 months in luminal A, 40.6 months in luminal B, 16.8 months in HER-2 overexpressing, and 22.8 months in the triple-negative groups (p=0.003). We found the worst median survival after brain metastasis in the triple-negative group with 3.5 months. Early and close surveillance of high-risk patients may help early diagnosis of brain metastasis and may provide to perform effective treatments leading to longer overall survival times for this patient population.
  • PublicationOpen Access
    Efficacy and safety profile of COVID-19 vaccine in cancer patients: a prospective, multicenter cohort study
    (2022-01-01T00:00:00Z) YASİN, Ayşe İrem; Aydin, Sabin Goktas; SÜMBÜL, BİLGE; KORAL, LOKMAN; ŞİMŞEK, MELİH; Geredeli, Caglayan; Ozturk, Akin; Perkin, Perihan; Demirtas, Derya; Erdemoglu, Engin; HACIBEKİROĞLU, İLHAN; Cakir, Emre; Tanrikulu, Eda; Coban, Ezgi; Ozcelik, Melike; Celik, Sinemis; Teker, Fatih; AKSOY, ASUDE; Firat, Sedat T.; Tekin, Omer; Kalkan, Ziya; Turken, Orhan; Oven, Bala B.; Dane, Faysal; Bilici, Ahmet; Isikdogan, Abdurrahman; ŞEKER, Mesut; TÜRK, HACI MEHMET; Gumus, Mahmut; YASİN, AYŞE İREM; SÜMBÜL, BİLGE; ŞİMŞEK, MELİH; ŞEKER, MESUT; TÜRK, HACI MEHMET
    Aim: To compare the seropositivity rate of cancer patients with noncancer controls after inactive SARS-CoV-2 vaccination and evaluate the factors affecting seropositivity. Method: Spike IgG antibodies against SARS-CoV-2 were measured in blood samples of 776 cancer patients and 715 noncancer volunteers. An IgG level ≥50 AU/ml is accepted as seropositive. Results: The seropositivity rate was 85.2% in the patient group and 97.5% in the control group. The seropositivity rate and antibody levels were significantly lower in the patient group (p < 0.001). Age and chemotherapy were associated with lower seropositivity in cancer patients (p < 0.001). Conclusion: This study highlighted the efficacy and safety of the inactivated vaccine in cancer patients.
  • PublicationOpen Access
    The efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac vaccines in patients with cancer
    (2022-05-01T00:00:00Z) ŞİMŞEK, MELİH; Yasin, Ayse; BEŞİROĞLU, MEHMET; TOPÇU, Atakan; SUCUOĞLU İŞLEYEN, ZEHRA; ŞEKER, Mesut; TÜRK, HACI MEHMET; ŞİMŞEK, MELİH; BEŞİROĞLU, MEHMET; TOPÇU, ATAKAN; SUCUOĞLU İŞLEYEN, ZEHRA; ŞEKER, MESUT; TÜRK, HACI MEHMET
    Although vaccination is efficacious and prevents infection in the general population, there is limited data about Coronavirus disease-19 (Covid-19) occurrence after vaccination in cancer patients. It was aimed to evaluate the efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac vaccines against Covid-19 in patients with cancer. In this single-center, retrospective, cross-sectional, and descriptive study, the data of cancer patients referred to the medical oncology clinic of a university hospital were analyzed. The sample of the study consisted of cancer patients who had Covid-19 or were vaccinated against Covid-19. A total number of 2578 patients were included in the study. Of the patients, 2000 have never been infected with severe acute respiratory syndrome coronavirus and 578 patients have had a positive reverse-transcription polymerase chain reaction (RT-PCR) for Covid-19. It was found that 2094 patients (81.2%) were fully vaccinated, and 484 patients (18.8%) did not receive full-dose vaccination. A statistically significant difference in Covid-19 occurrence was found between the patients who had full-dose vaccination or not (p = 0.000). In in-group comparisons of full-dose vaccinated patients, while no difference was observed between two doses of BNT162b2 (Pfizer-BioNTech) and three doses of CoronaVac (p = 0.432), a statistically significant difference was observed between all other groups (p < 0.005). When the data of 578 patients who experienced Covid-19 was analyzed, a statistically significant difference was observed between the groups who were full-dose vaccinated and those who were not (p = 0.000). It is recommended that this vulnerable patient group should be prioritized in vaccination programs, and full-dose vaccination (at least two doses of vaccines) should be completed as soon as possible.