Rapid Remote Online Evaluation in Endoscopic Diagnostics: An Analysis of Biopsy-Proven Respiratory Cytopathology.

BACKGROUND: This prospective study assesses the use of rapid remote online cytological evaluation for diagnosing endoscopical achieved biopsies. It focuses on its effectiveness in identifying benign and malignant conditions using digital image processing. METHODS: The study was conducted between April 2021 and September 2022 and involved analyses of 314 Rapid Remote Online Cytological Evaluations in total (154 imprint cytologies, 143 fine needle aspirations and 17 brush cytologies) performed on 239 patients at the LungenClinic Grosshansdorf. During on-site evaluation via telecytology, the time requirement was recorded and the findings were compared with the cyto-/histological and final diagnoses. RESULTS: By means of rapid remote online evaluation, findings of 86 cytological benign, 190 malignant and 38 unclear diagnoses were recorded (Ø assessment time, 100 s; range, 11-370 s). In 27 of the 37 specimens with unclear diagnoses, the final findings were malignant tumours and only 6 were benign changes. The diagnosis of another 4 of these 37 findings remained unclear. Excluding these 37 specimens, rapid remote online evaluation achieved a sensitivity of 90.5% with a specificity of 98.5% and a correct classification rate of 92.4% with regard to the final diagnosis of all cases. As expected, an increase in the sensitivity rate for the cytological detection of malignant tumours (76.1% vs. 92.5%) was found especially in fine-needle aspirations. CONCLUSIONS: Rapid remote online analysis allows the fast quantitative and qualitative evaluation of clinically obtained cytological specimens. With a correct classification rate of more than 93%, sampling deficiencies can be corrected promptly and diagnostic and therapeutic approaches can be derived.

Comparative evaluation of PD-L1 expression in cytology imprints, circulating tumour cells and tumour tissue in non-small cell lung cancer patients.

Alternative sources of tumour information need to be explored in patients with non-small cell lung cancer (NSCLC). Here, we compared programmed cell death ligand 1 (PD-L1) expression on cytology imprints and circulating tumour cells (CTCs) with PD-L1 tumour proportion score (TPS) from immunohistochemistry staining of tumour tissue from patients with NSCLC. We evaluated PD-L1 expression using a PD-L1 antibody (28-8) in representative cytology imprints, and tissue samples from the same tumour. We report good agreement rates on PD-L1 positivity (TPS ≥ 1%) and high PD-L1 expression (TPS ≥ 50%). Considering high PD-L1 expression, cytology imprints showed a PPV of 64% and a NPV of 85%. CTCs were detected in 40% of the patients and 80% of them were PD-L1+ . Seven patients with PD-L1 expression of < 1% in tissue samples or cytology imprints had PD-L1+ CTCs. The addition of PD-L1 expression in CTCs to cytology imprints markedly improved the prediction capacity for PD-L1 positivity. A combined analysis of cytological imprints and CTCs provides information on the tumoural PD-L1 status in NSCLC patients, which might be used when no tumor tissue is available.

Combination of Biochemical and Cytological Findings for Better Diagnosis in Pleural Effusions.

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. In 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.

Recommendations for immunocytochemistry in lung cancer typing: An update on a resource-efficient approach with large-scale comparative Bayesian analysis.

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 (∆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.