A unique case of lymphoepithelioma-like HCC with osteoclast-like giant cells: CT imaging features with pathologic correlations.

Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver, with several histological variants being reported in literature. Hereby, we describe a case of a 77-year-old man with chronic liver disease referred to our department for performing a computed tomography (CT) due to a liver mass discovered at an abdominal ultrasound follow-up. At CT, a large, ill-defined lesion in the third hepatic segment was detected, characterized by progressive and delayed enhancement with minimal retraction of the hepatic capsule, associated with perihepatic adipose tissue inhomogeneity, mimicking a cholangiocarcinoma. At histopathological evaluation, the lesion turned out to be an HCC with lymphoepithelioma-like component and osteoclastic-like giant cells. This report focuses on the clinicopathological and radiological features of this unique case.

Multimodal imaging approach in hyponatremic hypertensive syndrome. A rare case of pediatric unilateral hypoplasia of the main renal artery combined itself with stenosis and review of literature.

Renal artery stenosis (RAS) accounts for approximately 5%-10% of secondary renovascular hypertension in the pediatric population. It can occur as an isolated entity, or as a hypoplasia combined itself with stenosis. Hypoplasia, or long-segment developmental narrowing, is a rare cause of renovascular hypertension. Hyponatremic hypertensive syndrome (HHS) is a malignant complication of unilateral RAS and/or renal artery hypoplasia. Hyponatremia, hypokalemic hypochloremic metabolic alkalosis, nephrotic range proteinuria, polyuria, polydipsia, and weight loss are the most common findings. In particular, hypertension remains refractory despite aggressive antihypertensive therapy. Laboratory findings of elevated plasma levels of renin in most case suggest that the stimulation of renin release from the ischemic kidney plays an important pathophysiologic role. HHS is a diagnostic and therapeutic challenge in children. We report a case of a unilateral right renal artery hypoplasia, complicated by a segmental narrowing, in a 17-month-old male, clinically symptomatic for hypertension. We emphasize the role of ultrasound, computed tomography, and digital subtraction angiography that should be planned as reliable and non-invasive multimodal imaging approach.

Osteofibrous dysplasia: A rare case in 3-day-old female.

Osteofibrous dysplasia (OFD) is a nonneoplastic tumor-like lesion, made up of fibrous matrix with immature bone tissue surrounded by osteoblasts, occurring usually in the cortex of tibial diaphysis. OFD is usually seen in the first decade of life and, according to literature, it is rarely seen in the newborn period. Diagnosis of congenital OFD in the newborn is challenging because it is uncommon in this age group and can be confused with other bone benign or malignant lesions. Imaging plays an important role in diagnosis, although histological confirmation is often required. Our report presents a rare case of pathologically confirmed congenital OFD in 3-day-old female which presented with a swelling of her right leg. We will focus on imaging findings of OFD and main differential diagnosis of this lesion in neonatal age.

A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset.

Although prostate cancer is one of the most common causes of mortality and morbidity in advancing-age males, early diagnosis improves prognosis and modifies the therapy of choice. The aim of this study was the evaluation of a combined radiomics and machine learning approach on a publicly available dataset in order to distinguish a clinically significant from a clinically non-significant prostate lesion. A total of 299 prostate lesions were included in the analysis. A univariate statistical analysis was performed to prove the goodness of the 60 extracted radiomic features in distinguishing prostate lesions. Then, a 10-fold cross-validation was used to train and test some models and the evaluation metrics were calculated; finally, a hold-out was performed and a wrapper feature selection was applied. The employed algorithms were Naïve bayes, K nearest neighbour and some tree-based ones. The tree-based algorithms achieved the highest evaluation metrics, with accuracies over 80%, and area-under-the-curve receiver-operating characteristics below 0.80. Combined machine learning algorithms and radiomics based on clinical, routine, multiparametric, magnetic-resonance imaging were demonstrated to be a useful tool in prostate cancer stratification.

Metastatic choriocarcinoma with hemorrhagic complications and spontaneous ovarian hyperstimulation syndrome: A case report.

Gestational choriocarcinoma is a malignant trophoblastic tumor arising from any gestational event, even with a long latency period, generally in the reproductive female. It is associated with a high level of beta-human chorionic gonadotropin. Its primary site is usually the uterus but not all patients have a detectable lesion in this site. Regression of the primary tumor after it has metastasized is not uncommon, and one-third of cases manifest as complications of metastatic disease. In this report we present an uncommon case of gestational choriocarcinoma with lung, liver and jejunal metastases at the time of diagnosis without evidence of pelvic disease, in 34-year-old woman. The main points of interest of our case were the development of the ovarian hyperstimulation syndrome with massive multicystic ovarian enlargement induced by high level of beta-human chorionic gonadotropin and the bleeding of jejunal and liver metastases, due to the high vascularity of the tumor tissue, a condition known as "Choriocarcinoma Syndrome". We will focus on the radiological findings of metastases, bleeding complications and ovarian hyperstimulation syndrome.

State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma.

The most common liver malignancy is hepatocellular carcinoma (HCC), which is also associated with high mortality. Often HCC develops in a chronic liver disease setting, and early diagnosis as well as accurate screening of high-risk patients is crucial for appropriate and effective management of these patients. While imaging characteristics of HCC are well-defined in the diagnostic phase, challenging cases still occur, and current prognostic and predictive models are limited in their accuracy. Radiomics and machine learning (ML) offer new tools to address these issues and may lead to scientific breakthroughs with the potential to impact clinical practice and improve patient outcomes. In this review, we will present an overview of these technologies in the setting of HCC imaging across different modalities and a range of applications. These include lesion segmentation, diagnosis, prognostic modeling and prediction of treatment response. Finally, limitations preventing clinical application of radiomics and ML at the present time are discussed, together with necessary future developments to bring the field forward and outside of a purely academic endeavor.

The role of unhenanced CT in a ruptured parathyroid adenoma: A case report.

Acute bleeding is a rare and potentially life-threatening complication of a Parathyroid Adenoma described in just a few cases in literature. We describe the case of a healthy 53-years-old female patient without prior history of parathyroid pathology who presented with acute onset of neck and mediastinal hemorrhage. Ultrasound (US), Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) combined with laboratory tests led to the diagnosis of a bleeding Parathyroid adenoma. This case is presented to sensitize both Radiologists and Clinicians about this rare presentation that should be put into differential diagnosis of acute neck swelling and pain.

An ileal duplication cyst case report: From diagnosis to treatment.

Enteric duplication cysts (EDCs) are rare congenital malformations of the children and can develop everywhere along the gastrointestinal (GI) tract, being the ileum the most frequent localization. We herein present an unusual case of duplication cyst of ileal origin who show a tubular morphology and doesn't communicate with GI lumen. A 2-month-old boy was admitted to our hospital for investigation of an anechoic formation of the lower right abdomen for the surgical planning. The patient was asymptomatic. Ultrasound (US) and magnetic resonance imaging (MRI) showed features of a cystic lesion. Laparoscopic surgery was performed and the cyst excised. Macroscopic examination and histologic findings confirmed the diagnosis of a enteric duplication cyst arising from the ileum. In a patient with an abdominal cystic mass, although asymptomatic, it's worth assessing the nature of the lesion and planning a surgery in order to avoid future complications. A correct use of diagnostic it's fundamental to identify the etiology and the characteristics of a cystic mass.

Deep Learning Whole-Gland and Zonal Prostate Segmentation on a Public MRI Dataset.

BACKGROUND: Prostate volume, as determined by magnetic resonance imaging (MRI), is a useful biomarker both for distinguishing between benign and malignant pathology and can be used either alone or combined with other parameters such as prostate-specific antigen. PURPOSE: This study compared different deep learning methods for whole-gland and zonal prostate segmentation. STUDY TYPE: Retrospective. POPULATION: A total of 204 patients (train/test = 99/105) from the PROSTATEx public dataset. FIELD STRENGTH/SEQUENCE: A 3 T, TSE T2 -weighted. ASSESSMENT: Four operators performed manual segmentation of the whole-gland, central zone + anterior stroma + transition zone (TZ), and peripheral zone (PZ). U-net, efficient neural network (ENet), and efficient residual factorized ConvNet (ERFNet) were trained and tuned on the training data through 5-fold cross-validation to segment the whole gland and TZ separately, while PZ automated masks were obtained by the subtraction of the first two. STATISTICAL TESTS: Networks were evaluated on the test set using various accuracy metrics, including the Dice similarity coefficient (DSC). Model DSC was compared in both the training and test sets using the analysis of variance test (ANOVA) and post hoc tests. Parameter number, disk size, training, and inference times determined network computational complexity and were also used to assess the model performance differences. A P < 0.05 was selected to indicate the statistical significance. RESULTS: The best DSC (P < 0.05) in the test set was achieved by ENet: 91% ± 4% for the whole gland, 87% ± 5% for the TZ, and 71% ± 8% for the PZ. U-net and ERFNet obtained, respectively, 88% ± 6% and 87% ± 6% for the whole gland, 86% ± 7% and 84% ± 7% for the TZ, and 70% ± 8% and 65 ± 8% for the PZ. Training and inference time were lowest for ENet. DATA CONCLUSION: Deep learning networks can accurately segment the prostate using T2 -weighted images. EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 2.

Fiberoptic endoscopic evaluation of swallowing in early-to-advanced stage Huntington's disease.

Huntington's disease (HD) is a neurodegenerative disorder characterized by motor disturbances, cognitive decline, and behaviour changes. A well-recognized feature of advanced HD is dysphagia, which leads to malnutrition and aspiration pneumonia, the latter being the primary cause of death in HD. Previous studies have underscored the importance of dysphagia in HD patients with moderate-to-advanced stage disease, but it is unclear whether dysphagia affects patients already at an early stage of disease and whether genetic or clinical factors can predict its severity. We performed fiberoptic endoscopic evaluation of swallowing (FEES) in 61 patients with various stages of HD. Dysphagia was found in 35% of early-stage, 94% of moderate-stage, and 100% of advanced-stage HD. Silent aspiration was found in 7.7% of early-stage, 11.8% of moderate-stage, and 27.8% of advanced-stage HD. A strong correlation was observed between disease progression and dysphagia severity: worse dysphagia was associated with worsening of motor symptoms. Dysphagia severity as assessed by FEES correlated with Huntington's Disease Dysphagia Scale scores (a self-report questionnaire specific for evaluating swallowing in HD). The present findings add to our understanding of dysphagia onset and progression in HD. A better understanding of dysphagia onset and progression in HD may inform guidelines for standard clinical care in dysphagia, its recognition, and management.

Amplatzer vascular plug IV in the treatment of high flow renal arteriovenous fistula: Case considerations.

Renal arteriovenous fistula is classified into idiopathic, acquired and congenital. Endovascular therapy has become the gold standard compared to surgery. We present the embolization procedure of a renal fistula postbiopsy in a 57-year-old female patient through the use of St. Jude Medical Amplatzer vascular Plug IV. Although numerous embolizing agents are available, plug type IV has numerous advantages in terms of procedure times, speed of embolization and precision of the occlusion, but with a relative increase in costs.

Management of hip fracture in the older people: rationale and design of the Italian consensus on the orthogeriatric co-management.

BACKGROUND: Hip fracture (HF) is a burdening health problem in older people. The orthogeriatric approach has been shown to favour functional recovery and reduce mortality, but its implementation in clinical practice cannot rely upon shared management protocols and greatly varies among different healthcare systems. Here, we present the rationale and design of the Italian consensus document on the management of HF in older people. METHODS: A panel of multidisciplinary experts from ten Italian scientific societies involved in the care of HF and including geriatricians, orthopaedics, anaesthesiologists, physiatrists and general practitioners, will join to establish the content validity of a list of statements. A Delphi consensus methodology will be applied to obtain the opinions of the panel and to provide the final recommendations. OBJECTIVES: The document will include indications on the following relevant topics: (1) optimal care path of older subjects with HF; (2) management of comorbidities and pre-operative alteration of physiological parameters; (3) management of selected categories of patients at expected increased risk of adverse outcomes; (4) continuity of care out of hospital; (5) screening and correction of risk factors for HF in older subjects; (6) information and divulgation of shared management strategies. The objective of the consensus will be to inform clinicians, patients, researchers, and health policy makers about the best management strategies for HF in older people and their inherent limitations, thus facilitating communication between stakeholders and promoting the most cost/effective models of care.