FNAC/FC is a fundamental tool in the diagnosis and classification of NHL but the exiguity of diagnostic material and other technical and clinical limitations will probably continue to limit further improvement of the technique.
Cytopathologists can reliably perform ultrasound-guided thyroid fine needle aspiration: a 1-year audit on 3715 consecutive cases Objective: In our Pathology Department, fine needle aspiration (FNA) of palpable thyroid nodules is performed by cytopathologists who ensure correct sample management and rapid on-site evaluation (ROSE). Conversely, ultrasound (US)-guided FNAs have traditionally been carried out by endocrinologists and radiologists in outside clinics, where the presence of a cytopathologist is not always feasible. To overcome this limitation, cytopathologists have started to perform US-guided FNAs themselves. This study retrospectively evaluates 1 year of this novel practice. Methods: A total of 2225 US-guided FNAs were performed in our clinic by cytopathologists, whereas 1490 aspirates were taken by a group of non-cytopathologists. Among these, 756 FNAs were taken by a single experienced endocrinologist. The distribution of the Bethesda classification categories was evaluated in each of these groups. Results: FNAs performed by cytopathologists were more often diagnostic and better prepared than those taken by non-cytopathologists, including those taken by the experienced endocrinologist (P < 0.01). The latter operator yielded a higher rate of suspicious and malignant FNAs, reflecting a more appropriate clinical triage of worrisome nodules. Conclusion: Although the endocrinologist's evaluation is crucial to select clinically relevant thyroid nodules, cytopathologists can reliably perform US guidance in addition to their traditional expertise in sampling, specimen preparation and ROSE.
Our results suggest that COX-2 is highly expressed in DCIS and takes part in the molecular pathway implicated in progression of breast cancer and may provide a rationale for targeting COX-2 in preinvasive breast cancer therapy.
A series of 18 consecutive medullary thyroid carcinomas (MTC) diagnosed by fine needle aspiration cytology (FNAC) is described. The most important diagnostic cytologic criteria were the dispersed cell pattern, the polygonal appearance of the cells, binucleated cells and the presence of amyloid. Other less common cytologic features are reported and the variable microscopic appearance of MTC is pointed out. The possibility that this cytologic variability of MTC may be by itself an important diagnostic feature is proposed.
BACKGROUND: Gene expression profiling has divided diffuse large B-cell lymphoma (DLBCL) into 2 main subgroups: germinal center B (GCB) and non-GCB type. This classification is reproducible by immunohistochemistry using specific antibodies such as CD10, B-cell lymphoma 6 (BCL6), and multiple myeloma oncogene 1 (MUM1). Fine-needle aspiration (FNA) plays an important role in the diagnosis of non-Hodgkin lymphoma, and in some cases FNA may be the only available pathological specimen. The objectives of the current study were to evaluate CD10, BCL6, and MUM1 immunostaining on FNA samples by testing the CD10, BCL6, and MUM1 algorithm on both FNA cell blocks (CB) and conventional smears (CS), evaluating differences in CB and CS immunocytochemical (ICC) performance, and comparing results with histological data. METHODS: Thirty-eight consecutive DLBCL cases diagnosed by FNA were studied. Additional passes were used to prepare CB in 22 cases and CS in 16 cases; the corresponding sections and smears were immunostained using CD10, BCL6, and MUM1 in all cases. The data obtained were compared with histological immunostaining in 24 cases. RESULTS:ICC was successful in 33 cases (18 CB and 15 CS) and not evaluable in 5 cases (4 CB and 1 CS). The CD10-BCL6-MUM1 algorithm subclassified DLBCL as GCB (9 cases) and non-GCB (24 cases). ICC data were confirmed on histologic staining in 24 cases. CONCLUSIONS: CD10, BCL6, and MUM1 ICC staining can be performed on FNA samples. The results herein prove it is reliable both on CB and CS, and is equally effective and comparable to immunohistochemistry data. Cancer
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