Lymph node fine‐needle cytology in the era of personalised medicine. Is there a role?

Cytopathology ◽  
2019 ◽  
Vol 30 (4) ◽  
pp. 348-362 ◽  
Author(s):  
Immacolata Cozzolino ◽  
Valentina Giudice ◽  
Chiara Mignogna ◽  
Carmine Selleri ◽  
Alessandro Caputo ◽  
...  
BMC Cancer ◽  
2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Elena Vigliar ◽  
Immacolata Cozzolino ◽  
Marco Picardi ◽  
Anna Lucia Peluso ◽  
Laura Virginia Sosa Fernandez ◽  
...  

Author(s):  
Giulio Vitagliano ◽  
Giuseppe Santoro ◽  
Luigi Landolfi ◽  
Immacolata Cozzolino ◽  
Anna L. Peluso ◽  
...  

2016 ◽  
Vol 60 (4) ◽  
pp. 372-384 ◽  
Author(s):  
Anna Lucia Peluso ◽  
Antonio Ieni ◽  
Chiara Mignogna ◽  
Pio Zeppa

Lymph node (LN) fine-needle cytology (FNC) coupled with flow cytometry immunophenotyping provides relevant information for the diagnosis of non-Hodgkin lymphoma (NHL). Numerous studies have shown FNC samples to be suitable for different molecular procedures; in this review, some of the molecular procedures most commonly employed for NHL are briefly described and evaluated in this perspective. Fluorescence in situ hybridization and chromogenic in situ hybridization are briefly described. Polymerase chain reaction (PCR)-based assays are used to identify and quantify mutations and translocations, namely immunoglobulin (IGH) and T-cell receptor rearrangements by clonality testing and IGVH somatic hypermutations either by Sanger sequencing, single-strand conformational polymorphisms or RT-PCR strategies. High-throughput technologies (HTT) encompass numerous and different diagnostic tools that share the capacity of multiple molecular investigation and sample processing in a fast and reproducible manner. HTT includes gene expression profiling, comparative genomic hybridization, single-nucleotide polymorphism arrays and next-generation sequencing technologies. A brief description of these tools and their potential application to LN FNC is reported. The challenge for FNC will be to achieve new knowledge and apply new technologies to FNC, exploiting its own basic qualities.


Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1314
Author(s):  
Elena Vigliar ◽  
Gennaro Acanfora ◽  
Antonino Iaccarino ◽  
Massimo Mascolo ◽  
Daniela Russo ◽  
...  

Fine-needle cytology (FNC) is a useful diagnostic tool in the first line evaluation of lymphadenopathy of unknown aetiology. Nevertheless, considering the large number of conditions presenting as lymphadenopathy, lymph node cytology represents a challenging scenario. Recently, an expert panel published the proposal of the Sydney system for performing classification and reporting of lymph node cytopathology; the aim of the present study was to evaluate the applicability of this system. Thus, 300 lymph node FNCs performed over 1 year were reviewed and categorized according to the Sydney system classification. Overall, n = 20 cases (6.7%) were categorized as L1-inadequate/non-diagnostic; n = 104 (34.7%) as benign (L2); n = 25 (8.3%) as atypical (L3); n = 13 (4.3%) as suspicious (L4), and n = 138 (46%) as malignant (L5). FNC diagnoses were correlated with histopathologic and clinical follow-up to assess the diagnostic accuracy and the risk of malignancy (ROM) for each diagnostic category. Statistical analysis showed the following results: sensitivity 98.47%, specificity 95.33%, positive predictive value 96.27%, negative predictive value 98.08%, and accuracy 97.06%. The ROM was 50% for the category L1, 1.92% for L2, 58.3% for L3, and 100% for L4 and L5. In conclusion, FNC coupled with ancillary techniques ensures satisfactory diagnostic accuracy and the implementation of the Sydney system may improve the practice of cytopathologists.


2016 ◽  
Vol 60 (4) ◽  
pp. 302-314 ◽  
Author(s):  
Immacolata Cozzolino ◽  
Monia Rocco ◽  
Giancarlo Villani ◽  
Marco Picardi

In the last decades, lymph node fine-needle cytology (FNC), coupled with flow cytometry (FC), has gained a role in the diagnosis and classification of non-Hodgkin lymphoma (NHL). The combination of FNC/FC allows the diagnosis and classification of NHL in lymph node samples with a high sensitivity and specificity by combining cytological features and specific phenotypic profiles. The present review provides a brief technical description of FC and a detailed analysis of the current markers and their combinations (diagnostic algorithm) for the diagnosis and classification of NHL. The basic principles of clonality assessment, as well as the diagnostic strengths and weaknesses of the procedure, are reported. The current diagnostic algorithms for NHL classification are critically reviewed with a focus on specific problems related to single entities. Moreover, this review provides a detailed analysis of the different clinical contexts in which FNC/FC is performed and related implications. Future and further applications of FNC/FC for NHL are also discussed.


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