Predicting amyloid-PET status in a memory clinic: The role of the novel antero-posterior index and visual rating scales.

INTRODUCTION: Visual rating scales are increasingly utilized in clinical practice to assess atrophy in crucial brain regions among patients with cognitive disorders. However, their capacity to predict Alzheimer's disease (AD)-related pathology remains unexplored, particularly within a heterogeneous memory clinic population. This study aims to assess the accuracy of a novel visual rating assessment, the antero-posterior index (API) scale, in predicting amyloid-PET status. Furthermore, the study seeks to determine the optimal cohort-based cutoffs for the medial temporal atrophy (MTA) and parietal atrophy (PA) scales and to integrate the main visual rating scores into a predictive model. METHODS: We conducted a retrospective analysis of brain MRI and high-resolution TC scans from 153 patients with cognitive disorders who had undergone amyloid-PET assessments due to suspected AD pathology in a real-world memory clinic setting. RESULTS: The API scale (cutoff ≥1) exhibited the highest accuracy (AUC = 0.721) among the visual rating scales. The combination of the cohort-based MTA and PA threshold with the API yielded favorable accuracy (AUC = 0.787). Analyzing a cohort of MCI/Mild dementia patients below 75 years of age, the API scale and the predictive model improved their accuracy (AUC = 0.741 and 0.813, respectively), achieving excellent results in the early-onset population (AUC = 0.857 and 0.949, respectively). CONCLUSION: Our study emphasizes the significance of visual rating scales in predicting amyloid-PET positivity within a real-world memory clinic. Implementing the novel API scale, alongside our cohort-based MTA and PA thresholds, has the potential to substantially enhance diagnostic accuracy.

Bilateral surgical damage of the central tegmental tract resulting in bilateral hypertrophic olivary degeneration: An MRI case report.

Hypertrophic olivary degeneration (HOD) is a rare trans-synaptic neuronal degeneration of the inferior olivary nucleus caused by an injury to the dentato-rubro-olivary connection, also known as Guillain-Mollaret triangle. It leads to hypertrophy of the affected nucleus rather than atrophy and is characterized by hyperintensity on T2-weighted images. Unilateral and bilateral cases are described. We present a case of a 70-year-old patient affected by a tumor inside the fourth ventricle who suffered from diplopia and right seventh cranial nerve palsy. He underwent surgery and developed left seventh cranial nerve palsy. Three months after resection, magnetic resonance imaging revealed the appearance of bilateral HOD. This is the first report of bilateral HOD occurrence after surgical bilateral damage of the rubro-olivary fibers running in central tegmental tracts.

Imaging of osteonecrosis of the femoral head.

Osteonecrosis of the femoral head is a common disease affecting both children and adults causing acute hip pain and functional impairment. Among the various techniques allowing a correct diagnosis, MRI represents the gold standard for an early detection, the latter being useful for a positive outcome. The purpose of this review is to describe the imaging findings of the osteonecrosis of the femoral head.

Use of DWI in identification of small solid pancreatic focalities (≤ 2 cm).

Incidental finding of pancreatic focalities has increased thanks to a larger use of radiological examinations (Ultrasound, CT). The differential diagnosis between focal inflammatory and heteroplastic disease is frequently complicated by the wide spectrum of lesions and by the aspecificity of clinical and medical history, as well as of imaging findings. MRI is the second level choice of examination thanks to its higher intrinsic contrast resolution and parametric capability (1); furthermore, the use of Diffusion Weighted Imaging (DWI) sequences provides additional diagnostic informations.

Texture analysis in a rare case of tibial intraosseous lipoma.

Intraosseous lipoma is a very rare lesion, accounting for only 0.1% of all primary osseous tumors (1), first described in 1980 (2). This lesion is considered the rarest of benign bone tumors (3); probably it is not the actual incidence because these lesions are frequently asymptomatic and the introduction of cross-sectional imaging, especially MRI, seems to have increased the detection (4). The majority of intraosseus lipomas are in the lower limbs (70%) and the os calcis being the most frequently involved (32%). Most cases reported in literature have an age of 40 years (5). Tumor texture could be measured from medical images that provide a non-invasive method of capturing intratumoral heterogeneity and could potentially enable a prior assessment of a patient. Some Authors recently proposed Texture analysis to characterize musculoskeletal lesions (6). For the first time we measured the tumoral texture from Magnetic Resonance images in tibial intraosseous lipoma in a 29-years-old female.

Predictive factors of diagnostic accuracy of CT-guided transthoracic fine-needle aspiration for solid noncalcified, subsolid and mixed pulmonary nodules.

PURPOSE: The aim of this study was to analyse factors predicting the diagnostic accuracy of computed tomography (CT)-guided transthoracic fine-needle aspiration (TTFNA) for solid noncalcified, subsolid and mixed pulmonary nodules, with particular attention to those responsible for false negative results with a view to suggesting a method for their correction. MATERIALS AND METHODS: From January 2007 to March 2010, we retrospectively reviewed the CT images of 198 patients of both sexes (124 males and 74 females; mean age, 70 years; range age, 44-90) used for the guidance of TTFNA of pulmonary nodules. Aspects considered were: lesion size and density, distance from the pleura, and lesion site. Multiplanar reformatted images (MPR) were retrospectively obtained in the sagittal and axial oblique planes relative to needle orientation. RESULTS: The overall diagnostic accuracy of TTFNA CT-guided biopsy was 86% for nodules between 0.7 and 3 cm, 83.3% for those between 0.7 and 1.5 cm, and 92% for those between 2 and 3 cm. Accuracy was 95.1% for solid pulmonary nodules, 84.6% for mixed nodules, and 66.6% for subsolid nodules. The diagnostic accuracy of CT-guided TTFNA in relation to the distance between the nodule and the pleural plane was 95.6% for lesions adhering to the pleura and 83.5% for central ones. The diagnostic accuracy was 84.2% for the pulmonary upper lobe nodules, 85.3% for the lower lobe and 90.9% for those in the lingula and middle lobe. In 75% of false negative and inadequate/insufficient cases the needle was found to lie outside the lesion, after reconstruction of the needle path by MPR. CONCLUSIONS: The positive predictive factors of CT-guided TTFNA are related to the nodule size, density and distance from the pleural plane. The most common negative predictive factor of CT-guided TTFNA is the wrong position of the needle tip, as observed in the sagittal and axial oblique sections of the MPR reconstructions. The diagnostic accuracy of CT-guided TTFNA can therefore be improved by using the MPR technique to plan the needle path during the FNA procedure.