ACTA ENDOCRINOLOGICA (BUC)

At least one fifth of pituitary adenomas exhibit plurihormonality when using immunohistochemistry for anterior pituitary hormones. However, the correlation with clinical features is weak, without an agreement upon pathological predictors of tumor behavior. The aim was to determine the immunoreactivity for anterior pituitary hormones and alpha subunit in 276 consecutive pituitary adenomas patients, aged 22-79 years (44.3 ? 8), 154 F/ 122 M: 83 acromegalics (ACM), 173 nonfunctioning adenomas (NFA) and 20 prolactinomas (PRM) submitted to surgery via transfrontal (81) or transsphenoidal (195) along 10 years (1995-2005). In addition, clinical data, hormonal secretion and tumour size were evaluated before pituitary surgery. Local ethical committee approved the study design. The immunoreactivity performed by the avidin-biotin-complex method was evaluated for beta FSH, LH, TSH, alpha subunit, PRL and GH, using a semiquantitative scale of stained cells: strong (>20%), positive (10-20%), weak (5-10%) and negative (<5%). CT or MRI tumor size (less than 1 cm, 1-2 cm, 2-4 cm and over 4 cm on maximal diameter) were considered together with the Hardy neuroradiological stage. The results showed that 16/83 ACM, 53/173 NFA and 4/20 PRM exhibited immunoreactivity for beta FSH and LH. TSH immunoreactivity was positive in 13/83 ACM, 11/173 NFA and 1/20 PRM. Tumor size in gonadotrophin - positive group (> 10% of stained cells) was between 1-2 cm in 6 ACM, 21 NFA and 2 PRM, while positive bigger tumors (2-4 cm) were in 7 ACM, 24 NFA and 2 PRM. Giant, over 4 cm tumors were positive in 3 ACM, 8 NFA and no PRM. A similar trend of the tumor size distribution was observed in the monohormonal or null cell adenomas. In conclusion, tumor size and gonadotrophin plurihormonality are independent factors in the management of pituitary adenomas.

Background. This study aimed to determine predictive clinical and endoscopic ultrasound (EUS) features for pancreatic neuroendocrine tumor (PNET) diagnosis, utilizing EUS-guided tissue acquisition. Methods. A prospective study from 2018-2022 included patients with pancreatic masses undergoing EUS with elastography. Univariate binomial logistic regression followed by multiple logistic regression with significant predictors was employed. A forward selection algorithm identified optimal models based on predictor numbers. Variables encompassed EUS tumor characteristics (e.g., location, size, margins, echogenicity, vascularity on Doppler, main pancreatic duct dilation, elastography appearance, vascular invasion, and hypoechoic rim), alongside demographic and risk factors (smoking, alcohol, diabetes). Results. We evaluated 165 patients (24 PNETs). EUS features significantly linked with PNET diagnosis were well-defined margins (79% vs. 26%, p < 0.001), blue elastography appearance (46% vs. 9.9%, p < 0.001), vascularization (67% vs. 25%, p < 0.001), hypoechoic rim (46% vs. 10%, p < 0.001). The top-performing model, with 89.1% accuracy, included two predictors: a homogeneous lesion (OR, 95% CI) and a hypoechoic rim (OR, 95% CI). Conclusions. EUS appearance can differentiate PNETs from non-PNETs, with the hypoechoic rim being an independent predictor of PNET diagnosis. The most effective predictive model for PNETs combined the homogeneous lesion and presence of the hypoechoic rim.

Pituitary adenomas are fully characterized only by immunohistochemistry. The technical limitations, gaps and peculiarities influence the pathology diagnosis. More and more data shows that clinically nonfunctioning pituitary adenomas could synthesize or secrete hormones or their subunits. The tumor pathology is monomorphous or polymorphous, difficult to differentiate from normal adjacent tissue. Light microscopy (LM) qualitative analysis using basic or special stains can differentiate between tumor and normal tissue and allows elimination of artifacts. Electron microscopy (EM) completes the diagnosis in selected cases. Pituitary adenomas immunohistochemistry was done by LM in 120 cases (84 ? clinically nonfunctioning adenomas ? NFA and 36 acromegalics with or without PRL secreting adenomas - ACM) using the avidine-biotin complex method. In 26 cases we determined by EM the immunoreactive cells (17 NFA and 9 ACM) using the immunogold method. We observed high tumor immunoreactivity (mono or plurihormonal) in 43/84 (51%) NFA, 13/36 (36%) ACM respectively. Serum excess hormones and tissue immunoreactivity were significantly concordant for prolactin in NFA cases and for GH, in ACM cases (p<0.05). Mute pituitary adenomas have no clinical expression of hormonal products either they produce biologically inactive components or they synthesize but do not secrete hormones in sufficient amounts to increase serum level and to determine a systemic response. A concordance between LM and EM immunoreactivity was observed only for GH in ACM patients group (p<0.05). The differences could be due to dimensions of the samples or the number of granules inside of the cells (sparsely granulated adenomas are negative or low immunoreactive at the LM level). EM evaluation of NFA identified 2 oncocytomas and 4 null cell adenomas. The complete evaluation of pituitary adenomas includ a qualitative and quantitative analysis at the LM level using special methods, validated at the EM level in order to identify clinically mute immunoreactive cells ? a possible target for specific drugs therapies in the future.