Nicolò Cardobi
University of Verona
CorrelationInternal medicineRadiologyMagnetic resonance imagingStimulus (physiology)Diffusion MRIPsychologyNeuroscienceVisual perceptionPathologicalPerceptionPancreasPancreaticoduodenectomyNeuroendocrine tumorsTexture (geology)NeuroradiologyPancreatic cancerDifferential diagnosisLesionNuclear medicineDuctal adenocarcinomaIn patientTumor gradeHepatologyBlindsightInterventional radiologyHistogramAudiologyResting state fMRIMedicineAnastomosisGastroenterology
55Publications
10H-index
260Citations
Publications 56
Newest
#1Nicolò CardobiH-Index: 10
#2Giulio BenettiH-Index: 9
Last. Stefania Montemezzi (University of Verona)H-Index: 15
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PURPOSE: To classify COVID-19, COVID-19-like and non-COVID-19 interstitial pneumonia using lung CT radiomic features. MATERIAL AND METHODS: CT data of 115 patients with respiratory symptoms suspected for COVID-19 disease were retrospectively analyzed. Based on the results of nasopharyngeal swab, patients were divided into two main groups, COVID-19 positive (C +) and COVID-19 negative (C-), respectively. C- patients, however, presented with interstitial lung involvement. A subgroup of C-, COVID-1...
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This study evaluated the feasibility of DWI for lesion targeting in MRI-guided breast biopsies. Furthermore, it assessed device positioning on DWI during biopsy procedures. A total of 87 biopsy procedures (5/87 bilateral) consecutively performed between March 2019 and June 2020 were retrospectively reviewed: in these procedures, a preliminary DWI sequence (b = 1300 s/mm2) was acquired to assess lesion detectability. We included 64/87 procedures on lesions detectable at DWI; DWI sequences were ad...
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#1Nicolò CardobiH-Index: 10
#2Alessandro Dal Palù (University of Parma)H-Index: 14
Last. Mirko D'Onofrio (University of Verona)H-Index: 58
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Artificial intelligence (AI) is one of the most promising fields of research in medical imaging so far. By means of specific algorithms, it can be used to help radiologists in their routine workflow. There are several papers that describe AI approaches to solve different problems in liver and pancreatic imaging. These problems may be summarized in four different categories: segmentation, quantification, characterization and image quality improvement. Segmentation is usually the first step of suc...
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#1Mirko D'OnofrioH-Index: 58
Last. Claudio BassiH-Index: 110
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The aim of this study was to perform a simplified radiomic analysis of pancreatic ductal adenocarcinoma based on qualitative and quantitative tumor features and to compare the results between metastatic and non-metastatic patients. A search of our radiological, surgical, and pathological databases identified 1218 patients with a newly diagnosed pancreatic ductal adenocarcinoma who were referred to our Institution between January 2014 and December 2018. Computed Tomography (CT) examinations were ...
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#1Mirko D'Onofrio (University of Verona)H-Index: 58
#2Giorgia Tedesco (University of Verona)H-Index: 3
Last. Claudio Bassi (University of Verona)H-Index: 110
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Abstract Purpose Magnetic Resonance (MR) is recommended to diagnose Intraductal Papillary Mucinous Neoplasms (IPMN) and in the follow-up of borderline lesions. The purpose of this work is to evaluate the diagnostic accuracy of dynamic Magnetic Resonance (MR) with Diffusion Weighted Imaging (DWI) in the identification of mural nodules of IPMN of pancreas by using pathological analysis as gold standard. Materials and methods Ninety-one preoperative MR with histopathological diagnosis of IPMN were ...
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#1Caterina A. Pedersini (University of Verona)H-Index: 3
#2Angelika Lingnau (University of Regensburg)H-Index: 21
Last. Carlo Alberto Marzi (University of Verona)H-Index: 41
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Abstract The general aim of this study was to assess the effect produced by visuo-spatial attention on both behavioural performance and brain activation in hemianopic patients following visual stimulus presentation to the blind hemifield. To do that, we tested five hemianopic patients and six age-matched healthy controls in a fMRI scanner during the execution of a Posner-like paradigm using a predictive central cue. Participants were instructed to covertly orient attention toward the blind or si...
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#2Alessandro Beleù (University of Verona)H-Index: 3
Last. Mirko D'Onofrio (University of Verona)H-Index: 58
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PURPOSE: To evaluate MR-derived histogram parameters in predicting aggressiveness and surgical outcomes in patients with PDAC, by correlating them to pathological features, recurrence-free survival (RFS), and overall survival (OS). METHODS: Pre-operative MR examinations of 103 patients with PDAC between July 2014 and September 2018 were retrospectively analyzed. Morphologic features and whole-tumor histogram-derived parameters were correlated to pathological features using Fisher's exact or Mann...
3 CitationsSource
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#2Nicolò CardobiH-Index: 10
Last. Carlo Alberto MarziH-Index: 41
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Abstract The presence of above-chance unconscious behavioral responses following stimulus presentation to the blind hemifield of hemianopic patients (blindsight) is a well-known phenomenon. What is still lacking is a systematic study of the neuroanatomical bases of two distinct aspects of blindsight: the unconscious above chance performance and the phenomenological aspects that may be associated. Here, we tested 17 hemianopic patients in two tasks i.e. movement and orientation discrimination of ...
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#1Javier Sanchez-Lopez (University of Verona)H-Index: 7
#2Silvia Savazzi (University of Verona)H-Index: 22
Last. Carlo Alberto Marzi (University of Verona)H-Index: 41
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Abstract The aim of this research was to study the behavioral and neurophysiological correlates of visual attention orientation to unseen stimuli presented to the blind hemifield of hemianopic patients, and the existence of hemispheric differences for this kind of unconscious attention. Behaviorally, by using a Posner paradigm, we found a significant attention effect in speed of response to unseen stimuli similar to that observed in the sighted hemifield and in healthy participants for visible s...
3 CitationsSource