Yazar "Elmas, Hatice" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    Combination of Biochemical and Cytological Findings for Better Diagnosis in Pleural Effusions
    (Springer, 2022) Elmas, Hatice; Biancosino, Christian; Önal, Binnur; Schmitt, Fernando; Büyücek, Şeyma; Nordholt, Gerhard; Sauter, Guido
    Serous pleural effusions result from increased permeability and changed hydrostatic or colloid osmotic pressure. Laboratory biochemical findings provide conclusions about the effusion compositions. Together with the anamnesis and clinical assessment, they enable the evaluation of the effusion nature. The present study retrospectively analyzed combined biochemical and morphological findings in 2307 effusions of patients from two clinical centers: LungenClinic Grosshansdorf in Germany and Duzce University in Turkey. The effusion cytology results of 1771 and 536 patients from the respective centers were combined with clinical/radiological/biochemical findings and counter compared with the final diagnoses. Cytology verified 738 malignant tumors (643 and 95, respectively). Most effusions were benign (n = 1569; 77%) and 367 of them were paramalignant (293 and 74, respectively) and 594 were inflammatory (465 and 129, respectively). There was a distinctly lower number of malignant tumors in transudates than exudates (87 vs. 725; p < 0.0001). Squamous cell carcinoma was more frequent in paramalignant pleura effusions (122 cases out of the 367 effusions) than pleural carcinomatosis (32 cases out of the 780 malignant tumors; p < 0.0001). The cell formula was a suitable marker for malignant mesothelioma, predominantly mesothelial, or neutrophilic characterized by elevated LDH (>500 U/L) in the early stage of empyema or its late manifestation. İn conclusion, most effusions are benign. Cytologists, assisted by clinical and biochemical data and microscopic findings, can make significant differential diagnostic contributions beyond the sole detection of malignancy. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
  • Küçük Resim
    Öğe
    Recommendations for immunocytochemistry in lung cancer typing: An update on a resource-efficient approach with large-scale comparative Bayesian analysis
    (Wiley, 2021) Elmas, Hatice; Diel, Roland; Onal, Binnur; Sauter, Guido; Stellmacher, Florian; Welker, Lutz
    Objectives The majority of lung cancer cases are of advanced stage and diagnosis is usually made using minimally invasive small biopsies and cytological specimens. The WHO 2015 classification recommends limiting immunocytochemistry (ICC) to lung cancer typing and molecular testing drives for personalised therapies. An algorithm using Bayes' theorem could be useful for defining antibody profiles. This study aims to assess the impact of different antibody profiles for cytological samples on the accuracy of lung cancer typing with a large-scale Bayesian analysis. Methods A retrospective examination of 3419 consecutive smears and/or cytospins diagnosed over 2011-2016 found 1960 primary lung cancer tumours: 972 adenocarcinomas (ADC), 256 squamous carcinomas (SQC), 268 neuroendocrine tumours (NET), and 464 non-small cell cancer-not otherwise specified (NSCC-NOS). The a priori and a posteriori probabilities, before and after ICC using antibodies singly or in combination, were calculated for different lung cancer types. Results TTF-1 or CK7 alone improved the a posteriori probabilities of correct cytological typing for ADC to 86.5% and 95.8%, respectively. For SQC, using p40 ( increment Np63) or CK5/6 together with CK5/14 led to comparable results (78.3% and 90.3%). With synaptophysin or CD56 alone, improvements in a posteriori probabilities to 87.5 and 90.3% for the correct recognition of NET could be achieved. Conclusions Based on morphological and clinical data, the use of two antibodies appears sufficient for reliable detection of the different lung cancer types. This applies to diagnoses that were finalised following ICC both on a clinical or cytological basis and on a histological basis.