Background
There are limited data about the role of endoscopic ultrasound-guided tissue acquisition (EUS-TA), by fine needle aspiration (EUS-FNA) or biopsy (EUS-FNB), in the evaluation of the adrenal glands (AG). The primary aim was to assess the diagnostic yield and safety. The secondary aims were the malignancy predictors, and to create a predictive model of malignancy.
Methods
This was a retrospective nationwide study involving all Spanish hospitals experienced in EUS-TA of AGs. Inclusion period was from April-2003 to April-2016. Inclusion criteria: all consecutive cases that underwent EUS-TA of AGs. EUS and cytopathology findings were evaluated. Statistical analyses: diagnostic accuracy of echoendoscopist’s suspicion using cytology by EUS-TA, as gold standard; multivariate logistic regression model to predict tumor malignancy.
Results
A total of 204 EUS-TA of AGs were evaluated. Primary tumor locations were lung70%, others19%, and unknown11%. AG samples were adequate for cytological diagnosis in 91%, and confirmed malignancy in 60%. Diagnostic accuracy of the endosonographer's suspicion was 68%.
The most common technique was: a 22-G (65%) and cytological needle (75%) with suction-syringe (66%). No serious adverse events were described. The variables most associated with malignancy were size>30mm (OR2.27; 95%CI, 1.16–4.05), heterogeneous echo-pattern (OR2.11; 95%CI, 1.1–3.9), variegated AG shape (OR2.46; 95%CI, 1–6.24), and endosonographer suspicion (OR17.46; 95%CI, 6.2–58.5). The best variables for a predictive multivariate logistic model of malignancy were age, sex, echo-pattern, and AG-shape.
Conclusions
EUS-TA of the AGs is a safe, minimally invasive procedure, allowing an excellent diagnostic yield. These results suggest the possibility of developing a pre-EUS procedure predictive malignancy model.
The search for new biomarkers in cancer is currently one of the most widely sought end points in medical imaging, with the aim of improving the management decisions based on reliable indicators of prognosis, being neuroendocrine neoplasms a challenging group of tumors under investigation. Multitracer PET/CT imaging, in which different radiotracers supply information of different metabolic aspects of the tumor, can help classify and select the most appropriate therapy, providing basic aspects that will probably allow the generation of new imaging biomarkers useful in patient management.
Integrating clinical and pathological data together with imaging-derived information, such as radiomics and sarcopenia status, creating new combined biomarkers that increase the prognostic value compared with each of them used independently. The concept of strength through synergy, applicable in so many areas of life, is also demonstrated in this area of science and opens up innumerable pathways for improving patient care in cancer. This is as an example on how we can explore and make the most of all the information we already have (clinical, pathological, imaging), without the need for new invasive tests.
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