Cone Beam Computed Tomography Panoramic Mandibular Indices in the Screening of Postmenopausal Women with Low Bone Mass: Correlations with Bone Quantity and Quality.

Objective: This study examined the potential use of computed tomography panoramic mandibular indices on cone beam CT (CBCT) for assessing bone density in postmenopausal women with low bone mass.

Study Design: The study enrolled 104 postmenopausal women who underwent dual-energy X-ray absorptiometry (DXA) using a DXA scanner and mental foramen region CBCT alongside the NewTom VGi EVO Cone Beam 3D system. We assessed the relationship between the following DXA parameters: lumbar, femoral neck, and total hip T score, bone mineral density (BMD), and lumbar trabecular bone score (TBS).

Glucose intolerance in acromegaly is driven by low insulin secretion; results from an intravenous glucose tolerance test.

Purpose: Insulin sensitivity (S) and its role in glucose intolerance of acromegaly has been extensively evaluated. However, data on insulin secretion is limited. We aimed to assess stimulated insulin secretion using an intravenous glucose tolerance test (IVGTT) in active acromegaly.

Plurihormonal Pituitary Neuroendocrine Tumors: Clinical Relevance of Immunohistochemical Analysis.

Plurihormonal pituitary neuroendocrine tumors (PitNETs) are rare forms of tumors that express more than one hormone. The most common association is between growth hormone (GH) and prolactin (PRL), but other unusual combinations have been reported, such as GH and ACTH. Usually, the clinical dominance in these cases is related to GH hypersecretion.

The Value of ER∝ in the Prognosis of GH- and PRL-Secreting PitNETs: Clinicopathological Correlations.

Pituitary neuroendocrine tumors (PitNETs) are divided into multiple histological subtypes, which determine their clinical and biological variable behavior. Despite their benign evolution, in some cases, prolactin (PRL) and growth hormone (GH)-secreting PitNETs may have aggressive behavior. In this study, we investigated the potential predictive role of ER∝, alongside the clinicopathological classification of PitNETs (tumor diameter, tumor type, and tumor grade).

Prognostic Models in Growth-Hormone- and Prolactin-Secreting Pituitary Neuroendocrine Tumors: A Systematic Review.

Growth-hormone (GH)- and prolactin (PRL)-secreting PitNETs (pituitary neuroendocrine tumors) are divided into multiple histological subtypes, which determine their clinical and biological variable behavior. Proliferation markers alone have a questionable degree of prediction, so we try to identify validated prognostic models as accurately as possible. (1) Background: The data available so far show that the use of staging and clinical-pathological classification of PitNETs, along with imaging, are useful in predicting the evolution of these tumors.

Clinicopathological Features of Growth Hormone-producing Pituitary Adenomas and Correlation With Preoperative Laboratory Findings.

Background/aim: The histopathological variability of each type of pituitary adenoma (PA) that causes growth hormone (GH) excess influences the phenotype, radiological characteristics and therapy response of acromegaly patients. We correlated the immunohistochemical (IHC) features of GH-secreting PAs with their clinical, laboratory and imaging data.

Patients And Methods: We included 32 patients with documented acromegaly; tumour specimens were histologically and IHC examined: anterior pituitary hormones, pituitary-specific transcription factor-1 (PIT-1), Ki-67 labelling index were evaluated.

Pituitary transcription factors in the immunohistochemical and molecular diagnosis of pituitary tumours - a systematic review.

Introduction: Although histopathology remains in the first line of the diagnosis of pituitary pathology, immunohistochemistry and molecular biology are currently in charge of providing a more accurate characterisation of tumours in this field.

Material And Methods: A systematic review of the literature was performed, using the PubMed and SCOPUS databases, with terms that included transcription factors involved in the development of pituitary tumours: T-PIT, PIT-1, and SF-1.

Results: The results showed different perspectives, but the evidence is in favour of a multifold immunohistochemical analysis that must include pituitary transcription factors for a highly accurate diagnosis, prognosis, and guidance of (multimodal) therapy.