Diagnostic role of FNA cytology in the evaluation of cervical lymph nodes in thyroid cancers: Combined evaluation of thyroglobulin in eluate from FNA cytology

BACKGROUND

The presurgical evaluation of cervical lymph nodes (CLNs) in the management of thyroid malignant lesions is crucial for the extent of surgery or detection of metastases. In these last decades, fine-needle aspiration cytology (FNAC) has been shown to have a central role in the detection of nodal thyroid metastases. It is adopted for the possibility of confirming suspected metastases either in the presurgical phase or in the follow-up of patients after thyroidectomy. However, FNAC from CLNs can be challenging, especially in cystic lesions. In this regard, the combination of FNAC with thyroglobulin measurement in the eluate from FNAC (Tg-FNAC) seems to increase the sensitivity of FNAC in the detection of CLN metastases. The role of FNAC and Tg-FNAC was investigated in this series.

METHODS

One hundred fifty-three prospective cytological samples of CLNs were studied along with surgical follow-up in the period between 2020 and 2022. Immunocytochemistry (ICC) was performed on liquid-based cytology-stored material.

RESULTS

One hundred fifty-nine enlarged CLNs included 19 central lymph nodes and 140 CLNs. Forty-two thyroidal CLN metastases and 117 reactive lymph nodes were found. Thirty-one CLN dissections were performed in patients with a previous diagnosis of thyroid carcinoma (mostly papillary thyroid carcinoma [PTC]), whereas 128 CLNs with a concomitant suspicious and/or malignant thyroid nodule were found. There was one false-positive case among all the malignant histologically confirmed cases, and two of 117 reactive CLNs (1.7%) had a diagnosis of metastatic PTC. Markedly high Tg-FNAC was found in all metastatic CLNs, including 11 cystic metastatic CLNs detected by Tg-FNAC with a negative FNAC. ICC (including Tg, CK-19, and LCA) recognized nine cases with low Tg-FNAC and scant suspicious thyrocytes. Tg-FNAC plus FNAC diagnosed 94.2% of malignancies.

CONCLUSIONS

FNAC represents a valid method for the evaluation of CLNs, especially combined with ICC. Tg-FNAC is an additional method with a useful role in FNAC.

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare

Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides clinicians and researchers with a step-wise foundation for high-value AI that can be applied to a variety of different data modalities. The aim is to improve the transparency and application of AI methods, with the potential to benefit patients in routine cardiovascular care. Following a clear research hypothesis, an AI-based workflow begins with data selection and pre-processing prior to analysis, with the type of data (structured, semi-structured, or unstructured) determining what type of pre-processing steps and machine-learning algorithms are required. Algorithmic and data validation should be performed to ensure the robustness of the chosen methodology, followed by an objective evaluation of performance. Seven case studies are provided to highlight the wide variety of data modalities and clinical questions that can benefit from modern AI techniques, with a focus on applying them to cardiovascular disease management. Despite the growing use of AI, further education for healthcare workers, researchers, and the public are needed to aid understanding of how AI works and to close the existing gap in knowledge. In addition, issues regarding data access, sharing, and security must be addressed to ensure full engagement by patients and the public. The application of AI within healthcare provides an opportunity for clinicians to deliver a more personalized approach to medical care by accounting for confounders, interactions, and the rising prevalence of multi-morbidity.

Fructooligosaccharides: From Breast Milk Components to Potential Supplements. A Systematic Review

Breast milk is the optimal food choice for infant growth and development. Among breast milk components, fructooligosaccharides (FOSs) are being actively studied because of their role in microbiota development. In particular, 2'-fucosyllactose is being proposed as a potential supplement/nutraceutical or component of infant formula. In this systematic review, we critically summarize the available information on FOSs and we discuss their future use in infant nutrition. We searched the main electronic databases (PubMed, Embase, and Scopus), with a final check in May 2021. Search terms were inserted individually and using the Boolean tools AND and OR. Relevant articles were identified using the following words: ("fructooligosaccharides" OR "FOS") AND ("human milk" OR "breast milk" OR "donor milk" OR "bank milk"). The search retrieved 1814 articles. After removal of duplicates, we screened 1591 articles based on title, abstract, and exclusive use of the English language. We included articles describing the concentration of FOSs in human milk and assessed the relevant ones. We excluded reviews, studies on animals, and studies exclusively carried out on adults. Also, we excluded studies that have not reported evidence either on FOSs or on galactooligosaccharides from human milk. The resulting publications were reviewed, and 10 studies were included in the systematic review. We conclude that human milk FOSs are, indeed, crucial to infant gut development and their addition to infant formula is safe, well-tolerated, and might provide immune benefits to newborns. However, we would like to underscore the scantiness of human data and the need to avoid the immediate translation of infant research to the commercialization of supplements marketed to adults.