Acta Cytologica最新文献

Introduction: This study conducts the first meta-analysis to evaluate the diagnostic accuracy and the aggregated risk of malignancy associated with each category of the Papanicolaou Society of Cytopathology (PSC) system for reporting respiratory cytology.

Methods: A systematic search was conducted in PubMed, Scopus, and Web of Science using the keywords "(Lung, Respiratory specimens) AND (Papanicolaou Society of Cytopathology System)." Articles were assessed for risk of bias using the QUADAS-2 tool. After excluding inadequate samples, sensitivity and specificity for various cut-off points. Summary receiver operating characteristic curves and diagnostic odds ratios were pooled to assess diagnostic accuracy.

Results: Five studies, totaling 3,489 cases, were included. Sensitivity and specificity for the "Atypical and higher risk categories" considered positive were 60% (95% CI, 51-68%) and 87% (95% CI, 81-92%), respectively. For the "Suspicious for malignancy and higher risk categories" considered positive, sensitivity and specificity were 49% (95% CI, 40-58%) and 95% (95% CI, 92-97%), respectively. Sensitivity and specificity for the "Malignant" category considered positive for malignancy were 42% (95% CI, 33-52%) and 97% (95% CI, 92-99%), respectively. The pooled area under the curve ranged from 68 to 75% for each cut-off.

Conclusion: This meta-analysis underscores the PSC system's accuracy in reporting respiratory cytology. It highlights the diagnostic importance of the "Suspicious" and "Malignant" categories in identifying malignancy, and the utility of the "Atypical" category for initial screening. These findings support the PSC system's role in enhancing diagnostic accuracy and clinical decision-making in respiratory cytology.

Introduction: The application of artificial intelligence (AI) algorithms in serous fluid cytology is lacking due to the deficiency in standardized publicly available datasets. Here, we develop a novel public serous effusion cytology dataset. Furthermore, we apply AI algorithms on it to test its diagnostic utility and safety in clinical practice.

Methods: The work is divided into three phases. Phase 1 entails building the dataset based on the multitiered evidence-based classification system proposed by the International System (TIS) of serous fluid cytology along with ground-truth tissue diagnosis for malignancy. To ensure reliable results of future AI research on this dataset, we carefully consider all the steps of the preparation and staining from a real-world cytopathology perspective. In phase 2, we pay special consideration to the image acquisition pipeline to ensure image integrity. Then we utilize the power of transfer learning using the convolutional layers of the VGG16 deep learning model for feature extraction. Finally, in phase 3, we apply the random forest classifier on the constructed dataset.

Results: The dataset comprises 3,731 images distributed among the four TIS diagnostic categories. The model achieves 74% accuracy in this multiclass classification problem. Using a one-versus-all classifier, the fallout rate for images that are misclassified as negative for malignancy despite being a higher risk diagnosis is 0.13. Most of these misclassified images (77%) belong to the atypia of undetermined significance category in concordance with real-life statistics.

Conclusion: This is the first and largest publicly available serous fluid cytology dataset based on a standardized diagnostic system. It is also the first dataset to include various types of effusions and pericardial fluid specimens. In addition, it is the first dataset to include the diagnostically challenging atypical categories. AI algorithms applied on this novel dataset show reliable results that can be incorporated into actual clinical practice with minimal risk of missing a diagnosis of malignancy. This work provides a foundation for researchers to develop and test further AI algorithms for the diagnosis of serous effusions.

Introduction: Extrauterine malignancies in cervical samples are rarely seen. It is important to differentiate these cells from those of primary uterine malignancies to determine appropriate line of further investigations and management. Literature on these lesions is limited largely restricted to case reports. The aim of the present study was to study the spectrum and cytomorphological features of extrauterine malignancies in cervical Pap smears.

Materials and methods: It is a retrospective and descriptive study conducted in Department of Cytopathology from January 2019 to July 2023. All cases of extrauterine malignancies with available cytology material were included in this study. All cases of primary uterine malignancies, i.e., uterine corpus or cervix confirmed by clinical, radiological, and histopathological examination were excluded.

Results: 104 out of 11,674 cytology Pap smears were those of extrauterine malignancy. Diagnosis of extrauterine malignancy was given in 47.1% cases, 30.9% were reported as positive for malignancy without giving the possibility of an extrauterine origin, and 22.0% were reported as atypical glandular cells only. In 56 cases where Pap smear was the first investigation which led to the diagnosis. Most common extrauterine malignancy was adenocarcinoma principally from ovarian, colorectal, and vaginal origin. Other epithelial malignancies noted were urothelial carcinoma and invasive breast carcinoma. Among non-epithelial malignancies, we reported vaginal mucosal melanoma, cutaneous melanoma, acute leukaemia, and anaplastic large cell lymphoma.

Conclusion: High index of suspicion, presence of squamous and glandular elements with no atypical features, and occasional clusters of cells with marked atypia and usually no necrosis in the background are helpful cytomorphological clues to raise suspicion for extrauterine malignancy. Correlation with serology, radiology, and immunocytochemistry can help in reaching final diagnosis.

Introduction: Multiplex genetic testing (MGT) has become the mainstream method for genetic mutation testing in the field of lung cancer treatment, but the suitability criteria for MGT biopsy specimens are stringent. Although rapid on-site evaluation (ROSE) is considered a useful method for obtaining the suitable biopsy specimens for MGT, no direct comparisons of ROSE and MGT are available. In this study, we first evaluated the accuracy of MGT and ROSE in our hospital. Then, we explored the potential utility of the cytological findings of ROSE for indicating the adequacy of biopsy specimens for MGT.

Methods: These analyses were performed retrospectively using the data of 74 patients with lung cancer who underwent ROSE at our hospital in 2020-2022.

Results: Regarding the accuracy of MGT, the success rate was 97.9% and the frequency of epidermal growth factor receptor mutation in adenocarcinoma cases was 34.6%. The results of ROSE were then compared with histological diagnoses. The sensitivity and positive predictive value were 95.9% and 100.0%, respectively. To analyze the utility of the ROSE results for determining the adequacy of biopsy specimens for MGT, we determined the tumor fraction in the ROSE preparations (ROSE-T%) and the tumor fraction (B-T%)/tumor cell number (B-TN) in the biopsy specimens. When the threshold of the ROSE-T% was set at 80%, there were statistically significant biases of the B-T% ≥20%/B-TN ≥300 cases between the ROSE-T% ≥80% and <80% groups.

Conclusion: This is the first report to suggest the utility of ROSE-T% in assessing the suitability of biopsy specimens for MGT. This predictive ability may add further value to ROSE and help reduce the time required for diagnostic testing, and thereby the patient burden.

Introduction: The 6 categories of the Bethesda System for Reporting Thyroid Cytology (TBSRTC) with associated risk of malignancy (ROM) provide evidence-based clinical management guidelines. This study aimed to determine the ROM and accuracy of FNAB in South Africa (SA).

Methods: Thyroid specimens from 3 pathology laboratories registered between January 2015 and December 2019 were considered for inclusion. ROM was obtained per TBSRTC category by cytohistological correlation and dividing the total number of specimens with malignant histology by the total number of cases operated. Accuracy was calculated based on the Bethesda category and eventual malignant histology.

Results: Seventeen thousand seven hundred and seventy-three histology and 4,791 cytology cases were identified. Of the 4,791 cytology cases, 931 (19%) underwent surgery. More than a third (333, 35.8%) of cases were confirmed as malignant following histological assessment, with the majority being benign (584, 62.7%). The ROM for the nondiagnostic and benign categories was 24.3% and 20.5%. The highest ROM was for category VI (91.5%), followed by categories V (69.5%), IV (51.9%), and III (38.8%). Thyroid FNAB had a sensitivity of 73%, specificity of 74%, and overall accuracy of 74%.

Conclusion: Bethesda categories II and IV have a relatively higher ROM in SA compared to findings from other developed countries. The diagnostic accuracy of thyroid FNAB in SA and the high rate of nondiagnostic diagnoses (38%) require further investigation. A national thyroid registry could provide location-specific data to aid the implementation of appropriate local policies and national guidelines for practicing thyroid surgeons.

Background: Pitfalls in Pap test could be defined as false positive, false negative, or underdiagnosed results which can lead to unnecessary diagnostic procedures or delayed and inadequate treatment. It can be a consequence of misinterpretation of certain morphological entities which are described in this paper.

Summary: The paper presents an overview of the morphological features and look-alikes of the common sources of pitfalls such as atrophy, repair, intrauterine device change, tubal metaplasia, hyperchromatic crowded groups, and radiation changes. Rare causes of pitfalls such as Arias-Stella changes, pemphigus, tumor diathesis per se, rare types of cervical cancer, including verrucous and papillary squamous cell cancer, gastric type, and endometrioid adenocarcinoma are also described.

Key messages: The awareness of pitfalls in cervical cytology is important for cytopathologists and clinicians to avoid future errors. Review of Pap tests with erroneous diagnosis is important for quality control in cytology laboratory, and it must be considered an educational- and experience-building procedure. Cytopathologist should not pull back in significant diagnoses, especially in human papillomavirus-negative cases.

Background: The earliest cytotechnologists are largely unknown.

Summary: In 1943, the book "Diagnosis of Uterine Cancer by the Vaginal Smear" by Papanicolaou and Traut recognized several women who have largely faded from memory. While Mary Papanicolaou and Charlotte Street are familiar names, others like Alberta Kuder and Huldah Boerker, who inadvertently laid the groundwork for the field of cytotechnology, remain obscure. There were also women like Christine Rassias and Adele Reboul who did not receive recognition. Notably, Mrs. Lady Mary G. Papanicolaou, despite her significant contributions both in the lab and at home since 1914, was not acknowledged in her husband's work until the publication of his Atlas in 1954.

Key message: These women set the benchmark for future cytotechnologists, unknowingly shaping the profession as we know it today.