Filters








48 Hits in 2.0 sec

Magnetic resonance imaging differential diagnosis of brainstem lesions in children

Carlo Cosimo Quattrocchi
2016 World Journal of Radiology  
Quattrocchi CC et al .  ...  D E Quattrocchi CC et al .  ...  Quattrocchi CC et al . Differential diagnosis of brainstem lesions  ... 
doi:10.4329/wjr.v8.i1.1 pmid:26834941 pmcid:PMC4731345 fatcat:bheu2vq7zvbpbhsduedmnrpbee

Imaging of Renal Medullary Carcinoma

Federico Greco, Eliodoro Faiella, Domiziana Santucci, Carlo Augusto Mallio, Marco Nezzo, Carlo Cosimo Quattrocchi, Bruno Beomonte Zobel, Rosario Francesco Grasso
2017 Journal of Kidney Cancer and VHL  
<p>Renal medullary carcinoma (RMC) is a rare, highly aggressive tumor recognized as an independent pathological entity. African-descent adolescents and young adults with sickle cell hemoglobinopathy are the most affected groups. This rare subtype of renal cell carcinoma has its own morphogenetic and pathological characteristics. The major clinical manifestations include gross hematuria, abdominal or flank pain, and weight loss. The prognosis is very poor, with 95% of cases diagnosed at an
more » ... ed stage of the disease. In this review, we summarize the morphologic and dynamic characteristics of RMC under various imaging modalities such as ultrasound, computed tomography, and magnetic resonance. Differential diagnosis and management strategies are also discussed.</p>
doi:10.15586/jkcvhl.2017.62 pmid:28405543 pmcid:PMC5364331 fatcat:okqurdekmvetnihveqfnjl5lpe

Vocal Cord Metastasis From Breast Cancer

Rosario Francesco Grasso, Carlo Cosimo Quattrocchi, Sara Piciucchi, Giuseppe Perrone, Fabrizio Salvinelli, Carla Rabitti, Bruno Beomonte Zobel
2007 Journal of Clinical Oncology  
Rosario Francesco Grasso, Carlo Cosimo Quattrocchi, Sara Piciucchi, Giuseppe Perrone, Fabrizio Salvinelli, Hepatocellular Carcinoma Presenting As Radiculopathy A 36-year-old man with no previous medical  ... 
doi:10.1200/jco.2007.10.7268 pmid:17470873 fatcat:rsf47y4lrreyfmjkq3gdo3e4ly

Unilateral Blepharoptosis From Renal Cell Carcinoma

Federico Greco, Lorenzo Sabatino, Francesco Sabatino, Manuele Casale, Carlo Cosimo Quattrocchi, Bruno Beomonte Zobel
2016 Journal of Kidney Cancer and VHL  
<p>Blepharoptosis is the drooping or inferior displacement of the upper eyelid. Blepharoptosis can be either congenital or acquired. Tumour metastasis is one of the acquired causes of blepharoptosis. The lungs, locoregional lymph nodes, bone and liver are the usual sites of metastases of renal cell carcinoma (RCC); however, unusual locations of RCC have also been reported. Herein, we describe a case of a 47-year-old man with unilateral ptosis and blurred vision due to metastatic RCC. We
more » ... the different causes of blepharopstosis, the path that led to the diagnosis, and how RCC can metastasize to unusual anatomical regions such as the orbit. Symptoms such as exophthalmos, lid edema, diplopia, ptosis, cranial nerve paralysis or blurred vision may mime a benign disease; however, they could also be the symptoms of a systemic malignancy.</p>
doi:10.15586/jkcvhl.2016.61 pmid:28326282 pmcid:PMC5345509 fatcat:uz6p7ouo2raudhn5ijkx2c7x2a

Azygo-Tracheal Fistula in a Complete Implantable Central Venous System

Carlo Cosimo Quattrocchi, Matteo Sammarra, Massimiliano Carassiti, Bruno Vincenzi, Giuseppe Tonini, Rosario Francesco Grasso, Bruno Beomonte Zobel
2006 Journal of Clinical Oncology  
Carlo Cosimo Quattrocchi, Matteo Sammarra, Massimiliano Carassiti, Bruno Vincenzi, Giuseppe Tonini, Rosario Francesco Grasso, and Bruno Beomonte Zobel Biomedica esearct epartn est 120:1 DOI: 10.1200/JCO  ...  Retrospective analysis of the me- diastinum by comparing similar axial CT slices before (Figs 1F and 4029 Quattrocchi et al 1H) and after positioning of the device (4 months later, Figs 1G and 11) showed  ... 
doi:10.1200/jco.2006.05.6440 pmid:16921059 fatcat:3cwnhqum6zccrg4nlr27uifeoi

Neuroimages and Neuropathology of a stroke-like cerebral lymphomatoid granulomatosis

Massimo Marano, Chiara Brunelli, Costanza De Marco, Maurizio Martini, Carlo Cosimo Quattrocchi, Libero Lauriola, Vincenzo Di Lazzaro
2020 Canadian Journal of Neurological Sciences  
doi:10.1017/cjn.2020.133 pmid:32624028 fatcat:yqwb6uxsvfeorhlvwuswbunz2u

Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis

Francesco Maria Giordano, Edy Ippolito, Carlo Cosimo Quattrocchi, Carlo Greco, Carlo Augusto Mallio, Bianca Santo, Pasquale D'Alessio, Pierfilippo Crucitti, Michele Fiore, Bruno Beomonte Zobel, Rolando Maria D'Angelillo, Sara Ramella
2021 Cancers  
(1) Aim: To test the performance of a deep learning algorithm in discriminating radiation therapy-related pneumonitis (RP) from COVID-19 pneumonia. (2) Methods: In this retrospective study, we enrolled three groups of subjects: pneumonia-free (control group), COVID-19 pneumonia and RP patients. CT images were analyzed by mean of an artificial intelligence (AI) algorithm based on a novel deep convolutional neural network structure. The cut-off value of risk probability of COVID-19 was 30%;
more » ... higher than 30% were classified as COVID-19 High Risk, and values below 30% as COVID-19 Low Risk. The statistical analysis included the Mann–Whitney U test (significance threshold at p < 0.05) and receiver operating characteristic (ROC) curve, with fitting performed using the maximum likelihood fit of a binormal model. (3) Results: Most patients presenting RP (66.7%) were classified by the algorithm as COVID-19 Low Risk. The algorithm showed high sensitivity but low specificity in the detection of RP against COVID-19 pneumonia (sensitivity = 97.0%, specificity = 2%, area under the curve (AUC = 0.72). The specificity increased when an estimated COVID-19 risk probability cut-off of 30% was applied (sensitivity 76%, specificity 63%, AUC = 0.84). (4) Conclusions: The deep learning algorithm was able to discriminate RP from COVID-19 pneumonia, classifying most RP cases as COVID-19 Low Risk.
doi:10.3390/cancers13081960 pmid:33921652 fatcat:4256u64zgzdsnc3etyvfhu4wmm

"Canalolabyrinthine Schwannoma," A Rare Variant of Intralabyrinthine Schwannoma: A Case Report

Lorenzo Sabatino, Federico Greco, Carlo Cosimo Quattrocchi, Fabrizio Salvinelli, Manuele Casale
2017 The Journal of International Advanced Otology  
Canalolabyrinthine schwannoma is a rare subtype of neuroma. Only 1 case has been described in the literature. We report the clinical case of a 51-year-old Caucasian female with Meniere's disease-like symptoms. Magnetic resonance imaging showed right VIII cranial nerve schwannoma that had different characteristics from the classical described types. The peculiar features of our case of intralabyrithine canalolabyrinthine schwannoma directed the surgeon and radiologist to tailored considerations for follow-up and therapy.
doi:10.5152/iao.2016.2847 pmid:28085001 fatcat:7hb5fxb55vbe5ejblkgsboggfa

Brainstem tegmental lesions in neonates with hypoxic-ischemic encephalopathy: Magnetic resonance diagnosis and clinical outcome

Carlo Cosimo Quattrocchi, Giuseppe Fariello, Daniela Longo
2016 World Journal of Radiology  
A preferential involvement of the brainstem with Quattrocchi CC et al .  ...  Brainstem tegmentum in neonates February 28, 2016|Volume 8|Issue 2| WJR|www.wjgnet.com Quattrocchi CC et al . Brainstem tegmentum in neonates © 2016 Baishideng Publishing Group Inc.  ... 
doi:10.4329/wjr.v8.i2.117 pmid:26981220 pmcid:PMC4770173 fatcat:uhcjkt4as5chvm3cgpcnp64yge

Extra-spinal incidental findings at lumbar spine MRI in the general population: a large cohort study

Carlo Cosimo Quattrocchi, Alessandro Giona, Alberto Corrado Di Martino, Yuri Errante, Laura Scarciolla, Carlo Augusto Mallio, Vincenzo Denaro, Bruno Beomonte Zobel
2013 Insights into Imaging  
doi:10.1007/s13244-013-0234-z pmid:23456750 pmcid:PMC3675253 fatcat:jexydxj5uvftvapixcvkudwn2y

Symmetrical Central Tegmental Tract Hyperintensity on T2-weighted Images in Pediatrics: A Systematic Review

Carlo Augusto Mallio, Johan Van Goethem, Timo De Bondt, Luc van den Hauwe, Bruno Beomonte Zobel, Carlo Cosimo Quattrocchi, Paul M. Parizel
2018 Annals of Behavioral Neuroscience  
AbstractPurpose: The aim of the present study is to provide a systematic literature review of the current evidence about the Central Tegmental Tract Hyperintensity (CTTH).Methods: The literature search was performed on December 2017 using Medline PubMed, Google Scholar and Cochrane Central databases. Statistical analysis was performed using Kolmogorov-Smirnov, chi-square and the Mann-Whitney U tests.Results: Twenty publications were included. Of these, 11 were retrospective studies and 9 were
more » ... se reports. In total, CTTH was reported in 226 cases. The age parameter showed a significantly non-Gaussian distribution (KS test; p-value < 0.001). The median age was 1,83 years (range: 7 days – 21 years; P25 = 1.00 year, P75 = 3.00 years; IQR = 2 years). The two most common clinical conditions associated to CTTH were cerebral palsy (51 cases; 22.6%) and glutaric aciduria type 1 (50 cases; 22.10%). CTTH was often found in the absence of other concomitant brain MRI abnormalities (32 cases; 21.8%).Conclusions: CTTH is an uncommon neuroimaging finding that is mainly related to the acquisition\improvement of a physiologicalmotor developmental process. The finding is influenced by hypoxic ischemic and toxic?metabolic factors. Data regarding DWI and follow-up are largely unreported and deserve to be further explored.
doi:10.18314/abne.v1i1.1259 fatcat:jt3quwqmjbgg7easwyxf7nlbkq

Lung Thermal Ablation: Comparison between an Augmented Reality Computed Tomography (CT) 3D Navigation System (SIRIO) and Standard CT-Guided Technique

Rosario Francesco Grasso, Flavio Andresciani, Carlo Altomare, Giuseppina Pacella, Gennaro Castiello, Massimiliano Carassiti, Carlo Cosimo Quattrocchi, Eliodoro Faiella, Bruno Beomonte Zobel
2021 Biology  
(1) Background: The aim of this retrospective study is to assess safety and efficacy of lung radiofrequency (RFA) and microwave ablation (MWA) using an augmented reality computed tomography (CT) navigation system (SIRIO) and to compare it with the standard CT-guided technique. (2) Methods: Lung RFA and MWA were performed with an augmented reality CT 3D navigation system (SIRIO) in 52 patients. A comparison was then performed with a group of 49 patients undergoing the standard CT-guided
more » ... . All the procedures were divided into four groups based on the lesion diameter (>2 cm or ≤2 cm), and procedural time, the number of CT scans, radiation dose administered, and complications rate were evaluated. Technical success was defined as the presence of a "ground glass" area completely covering the target lesion at the immediate post-procedural CT. (3) Results: Full technical success was achieved in all treated malignant lesions for all the considered groups. SIRIO-guided lung thermo-ablations (LTA) displayed a significant decrease in the number of CT scans, procedure time, and patients' radiation exposure (p < 0.001). This also resulted in a dosage reduction in hypnotics and opioids administrated for sedation during LTA. No significant differences were observed between the SIRIO and non-SIRIO group in terms of complications incidence. (4) Conclusions: SIRIO is an efficient tool to perform CT-guided LTA, displaying a significant reduction (p < 0.001) in the number of required CT scans, procedure time, and patients' radiation exposure.
doi:10.3390/biology10070646 fatcat:c4kfnkkbjzf55nj4r3xmqvsuka

Acute Modulation of Brain Connectivity in Parkinson Disease after Automatic Mechanical Peripheral Stimulation: A Pilot Study

Carlo Cosimo Quattrocchi, Maria Francesca de Pandis, Claudia Piervincenzi, Manuela Galli, Jean Marc Melgari, Gaetano Salomone, Patrizio Sale, Carlo Augusto Mallio, Filippo Carducci, Fabrizio Stocchi, Dewen Hu
2015 PLoS ONE  
Objective The present study shows the results of a double-blind sham-controlled pilot trial to test whether measurable stimulus-specific functional connectivity changes exist after Automatic Mechanical Peripheral Stimulation (AMPS) in patients with idiopathic Parkinson Disease. Methods Eleven patients (6 women and 5 men) with idiopathic Parkinson Disease underwent brain fMRI immediately before and after sham or effective AMPS. Resting state Functional Connectivity (RSFC) was assessed using the
more » ... eed-ROI based analysis. Seed ROIs were positioned on basal ganglia, on primary sensory-motor cortices, on the supplementary motor areas and on the cerebellum. Individual differences for pre-and post-effective AMPS and pre-and post-sham condition were obtained and first entered in respective one-sample ttest analyses, to evaluate the mean effect of condition. Results Effective AMPS, but not sham stimulation, induced increase of RSFC of the sensory motor cortex, nucleus striatum and cerebellum. Secondly, individual differences for both conditions were entered into paired group t-test analysis to rule out sub-threshold effects of sham stimulation, which showed stronger connectivity of the striatum nucleus with the right lateral occipital cortex and the cuneal cortex (max Z score 3.12) and with the right anterior temporal PLOS ONE | lobe (max Z score 3.42) and of the cerebellum with the right lateral occipital cortex and the right cerebellar cortex (max Z score 3.79). Conclusions Our results suggest that effective AMPS acutely increases RSFC of brain regions involved in visuo-spatial and sensory-motor integration.
doi:10.1371/journal.pone.0137977 pmid:26469868 pmcid:PMC4607499 fatcat:s7miv5ikpvcsjg3zalsygesb64

Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis

Carlo Augusto Mallio, Andrea Napolitano, Gennaro Castiello, Francesco Maria Giordano, Pasquale D'Alessio, Mario Iozzino, Yipeng Sun, Silvia Angeletti, Marco Russano, Daniele Santini, Giuseppe Tonini, Bruno Beomonte Zobel (+2 others)
2021 Cancers  
Coronavirus disease 2019 (COVID-19) pneumonia and immune checkpoint inhibitor (ICI) therapy-related pneumonitis share common features. The aim of this study was to determine on chest computed tomography (CT) images whether a deep convolutional neural network algorithm is able to solve the challenge of differential diagnosis between COVID-19 pneumonia and ICI therapy-related pneumonitis. Methods: We enrolled three groups: a pneumonia-free group (n = 30), a COVID-19 group (n = 34), and a group of
more » ... patients with ICI therapy-related pneumonitis (n = 21). Computed tomography images were analyzed with an artificial intelligence (AI) algorithm based on a deep convolutional neural network structure. Statistical analysis included the Mann–Whitney U test (significance threshold at p < 0.05) and the receiver operating characteristic curve (ROC curve). Results: The algorithm showed low specificity in distinguishing COVID-19 from ICI therapy-related pneumonitis (sensitivity 97.1%, specificity 14.3%, area under the curve (AUC) = 0.62). ICI therapy-related pneumonitis was identified by the AI when compared to pneumonia-free controls (sensitivity = 85.7%, specificity 100%, AUC = 0.97). Conclusions: The deep learning algorithm is not able to distinguish between COVID-19 pneumonia and ICI therapy-related pneumonitis. Awareness must be increased among clinicians about imaging similarities between COVID-19 and ICI therapy-related pneumonitis. ICI therapy-related pneumonitis can be applied as a challenge population for cross-validation to test the robustness of AI models used to analyze interstitial pneumonias of variable etiology.
doi:10.3390/cancers13040652 pmid:33562011 fatcat:dcx7tj75knhppnvibs3nxyblaq

Altered resting state functional connectivity of anterior cingulate cortex in drug naïve adolescents at the earliest stages of anorexia nervosa

Santino Gaudio, Claudia Piervincenzi, Bruno Beomonte Zobel, Francesca Romana Montecchi, Giuseppe Riva, Filippo Carducci, Carlo Cosimo Quattrocchi
2015 Scientific Reports  
Supplementary Results Additional analyses of Resting State Functional Connectivity The additional analysis with GM maps as a covariate in GLM analyses of functional data showed that the between group analysis in the voxelwise spatial distribution of the functional connectivity (FC) maps confirms significant differences in the executive control network (ECN). Significantly decreased RSFC (p < 0.05, FWE corrected) was observed in AN-r patients compared to healthy controls between the ECN
more » ... l connectivity maps and in a region of the ACC close to the border of the paracingulate gyri (t = 3.16, BA 9 (MNI coordinates: x=10, y=42, z=6) ( Figure S1 ). Supplementary Figure S1: Clusters of significant decrease in resting state functional connectivity of ECN in AN-r patients compared to healthy controls using GM maps as covariate in GLM analysis (p < 0.05 FWE corrected) are overlaid onto the ECN network (blue color scale) in the MNI152 standard brain. The maximal peak (MNI coordinates: x=10, y=42, z=6; t = 3.16) corresponds to a region of the anterior cingulate cortex close to the border of the paracingulate gyri, thus it is consistent with the results of Figure 2.
doi:10.1038/srep10818 pmid:26043139 pmcid:PMC4455287 fatcat:xogi3orsujgfhdvxnev7lccrui
« Previous Showing results 1 — 15 out of 48 results