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  1. Article ; Online: The quest for open datasets: all that glitters is not gold.

    D'Anna, Gennaro / Ugga, Lorenzo / Cuocolo, Renato

    European radiology

    2024  

    Language English
    Publishing date 2024-03-13
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-024-10682-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3300: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Comment on: multidisciplinary consensus guideline for the diagnosis and management of spontaneous intracranial hypotension.

    Esposito, Antonio / Ugga, Lorenzo / Tedeschi, Enrico / Iodice, Rosa / Moccia, Marcello

    Journal of neurology, neurosurgery, and psychiatry

    2024  Volume 95, Issue 2, Page(s) 196–197

    MeSH term(s) Humans ; Intracranial Hypotension/diagnosis ; Intracranial Hypotension/therapy ; Headache/diagnosis ; Headache/etiology ; Headache/therapy ; Magnetic Resonance Imaging ; Cerebrospinal Fluid Leak
    Language English
    Publishing date 2024-01-11
    Publishing country England
    Document type Letter
    ZDB-ID 3087-9
    ISSN 1468-330X ; 0022-3050
    ISSN (online) 1468-330X
    ISSN 0022-3050
    DOI 10.1136/jnnp-2023-331981
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    Ui II Zs.93: Show issues Location:
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  3. Article ; Online: Pearls, Pitfalls, and Mimics in Pediatric Head and Neck Imaging.

    D'Arco, Felice / Ugga, Lorenzo

    Neuroimaging clinics of North America

    2021  Volume 32, Issue 2, Page(s) 433–445

    Abstract: Children present with a spectrum of head and neck pathologies that differ from those found in the adult population, with specific image findings and clinical characteristics. This article reviews the imaging protocols, pearls and pitfalls, and mimics of ... ...

    Abstract Children present with a spectrum of head and neck pathologies that differ from those found in the adult population, with specific image findings and clinical characteristics. This article reviews the imaging protocols, pearls and pitfalls, and mimics of pediatric head and neck lesions, stressing the combination of key radiological findings, clinical presentation, and anatomic localization necessary to correctly interpret the imaging.
    MeSH term(s) Adult ; Child ; Head/diagnostic imaging ; Head and Neck Neoplasms/diagnostic imaging ; Humans ; Magnetic Resonance Imaging/methods ; Neck/diagnostic imaging
    Language English
    Publishing date 2021-12-24
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1314594-0
    ISSN 1557-9867 ; 1052-5149
    ISSN (online) 1557-9867
    ISSN 1052-5149
    DOI 10.1016/j.nic.2022.02.003
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  4. Article ; Online: A "masked" pleomorphic xanthoastrocytoma.

    Franca, Raduan Ahmed / Ugga, Lorenzo / Della Monica, Rosa / Corvino, Sergio

    Pathology, research and practice

    2023  Volume 248, Page(s) 154698

    Abstract: The latest WHO Classification of tumours of the Central Nervous System (CNS) emphasizes the necessity of an integrated diagnostic approach during the workup of a CNS neoplasm. In addition to the mutational status, assessment of methylation profile of a ... ...

    Abstract The latest WHO Classification of tumours of the Central Nervous System (CNS) emphasizes the necessity of an integrated diagnostic approach during the workup of a CNS neoplasm. In addition to the mutational status, assessment of methylation profile of a tumour emerged as a helpful (often necessary) tool to make a correct and unequivocal diagnosis. Here we present a case of a Pleomorphic Xanthoastrocytoma with clinical, radiological and histopathological findings remarkably overlapping with a recently described paediatric-type glioma namly Polymorphic Low-grade Neuroepithelial Tumour of the Young (PLNTY). The differential diagnosis here discussed represents a methodological paradigm in the modern neuropathology. In fact, the presentation of this case is a demonstration that in day-to-day practice, clinical, radiological, and histopathological data can all be misleading, and the correct diagnosis can only be reached by integration with molecular analysis. In the modern neuro-oncology, it is by far mandatory for all the specialists dealing with cerebral tumours to "contaminate" their own cultural heritage with other ones, to optimally manage a patient with CNS tumour.
    MeSH term(s) Humans ; Child ; Brain Neoplasms/genetics ; Brain Neoplasms/pathology ; Astrocytoma/genetics ; Astrocytoma/pathology ; Central Nervous System Neoplasms ; Glioma ; Diagnosis, Differential
    Language English
    Publishing date 2023-07-17
    Publishing country Germany
    Document type Case Reports
    ZDB-ID 391889-0
    ISSN 1618-0631 ; 0344-0338
    ISSN (online) 1618-0631
    ISSN 0344-0338
    DOI 10.1016/j.prp.2023.154698
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    Ud III Zs.20: Show issues Location:
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  5. Article ; Online: Computed tomography and magnetic resonance imaging in pediatric salivary gland diseases: a guide to the differential diagnosis.

    D'Arco, Felice / Ugga, Lorenzo

    Pediatric radiology

    2020  Volume 50, Issue 9, Page(s) 1293–1307

    Abstract: Salivary gland pathologies in children are frequent, particularly viral infections, but rarely need cross-sectional imaging. However, when a mass involves the salivary spaces (primarily or as a secondary invasion from other neck spaces) it may pose ... ...

    Abstract Salivary gland pathologies in children are frequent, particularly viral infections, but rarely need cross-sectional imaging. However, when a mass involves the salivary spaces (primarily or as a secondary invasion from other neck spaces) it may pose problems in the differential diagnosis and in immediate management. Infrequently, systemic autoimmune diseases can also involve the salivary parenchyma in children and correctly interpreting the constellation of findings in the whole body is critical for the diagnosis. Distinguishing between cystic and solid masses is the first step for radiologists in order to narrow down the diagnosis. Location and spatial extension are the most important elements differentiating cystic masses, while signal characteristics, internal structure and local invasion help in the differential diagnosis of solid masses.
    MeSH term(s) Child ; Diagnosis, Differential ; Humans ; Magnetic Resonance Imaging/methods ; Salivary Gland Diseases/diagnostic imaging ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2020-06-18
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 124459-0
    ISSN 1432-1998 ; 0301-0449
    ISSN (online) 1432-1998
    ISSN 0301-0449
    DOI 10.1007/s00247-020-04684-3
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    Zs.A 927: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article: Meningioma Radiomics: At the Nexus of Imaging, Pathology and Biomolecular Characterization.

    Ugga, Lorenzo / Spadarella, Gaia / Pinto, Lorenzo / Cuocolo, Renato / Brunetti, Arturo

    Cancers

    2022  Volume 14, Issue 11

    Abstract: Meningiomas are the most common extra-axial tumors of the central nervous system (CNS). Even though recurrence is uncommon after surgery and most meningiomas are benign, an aggressive behavior may still be exhibited in some cases. Although the diagnosis ... ...

    Abstract Meningiomas are the most common extra-axial tumors of the central nervous system (CNS). Even though recurrence is uncommon after surgery and most meningiomas are benign, an aggressive behavior may still be exhibited in some cases. Although the diagnosis can be made by radiologists, typically with magnetic resonance imaging, qualitative analysis has some limitations in regard to outcome prediction and risk stratification. The acquisition of this information could help the referring clinician in the decision-making process and selection of the appropriate treatment. Following the increased attention and potential of radiomics and artificial intelligence in the healthcare domain, including oncological imaging, researchers have investigated their use over the years to overcome the current limitations of imaging. The aim of these new tools is the replacement of subjective and, therefore, potentially variable medical image analysis by more objective quantitative data, using computational algorithms. Although radiomics has not yet fully entered clinical practice, its potential for the detection, diagnostic, and prognostic characterization of tumors is evident. In this review, we present a wide-ranging overview of radiomics and artificial intelligence applications in meningioma imaging.
    Language English
    Publishing date 2022-05-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14112605
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  7. Article ; Online: MRI and steroid-responsive encephalopathy associated with autoimmune thyroiditis: first report of conus medullaris involvement and literature review of the known neuroimaging profiles.

    Cipriano, Lorenzo / Miele, Giuseppina / Ugga, Lorenzo / Abbadessa, Gianmarco / Caranci, Ferdinando / Bonavita, Simona

    Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology

    2023  Volume 44, Issue 5, Page(s) 1773–1776

    Abstract: Background: Steroid-responsive encephalopathy associated with autoimmune thyroiditis (SREAT) is a rare but potentially reversible autoimmune encephalopathy. The most frequent neuroimaging correlates are normal brain MRI or non-specific white matter ... ...

    Abstract Background: Steroid-responsive encephalopathy associated with autoimmune thyroiditis (SREAT) is a rare but potentially reversible autoimmune encephalopathy. The most frequent neuroimaging correlates are normal brain MRI or non-specific white matter hyperintensities.
    Methods: We present the first description of conus medullaris involvement, also providing an extensive review of MRI patterns described so far.
    Results: Our results show that in less than 30% of cases, it is possible to find focal SREAT neuroanatomical correlates. Among these, T2w/FLAIR temporal hyperintensities are the most frequent, followed by basal ganglia/thalamic and brainstem involvement, respectively.
    Conclusions: Unfortunately, spinal cord investigation is an uncommon practice in the diagnostic approach of encephalopathies, thus neglecting potential pathological lesions of the medulla spinalis. In our opinion, the extension of the MRI study to the cervical, thoracic, and lumbosacral regions may allow finding new, and hopefully specific, anatomical correlates.
    MeSH term(s) Humans ; Brain Diseases/complications ; Brain Diseases/diagnostic imaging ; Brain Diseases/drug therapy ; Thyroiditis, Autoimmune/complications ; Thyroiditis, Autoimmune/diagnostic imaging ; Thyroiditis, Autoimmune/drug therapy ; Steroids ; Magnetic Resonance Imaging ; Neuroimaging ; Spinal Cord/diagnostic imaging
    Chemical Substances Steroids
    Language English
    Publishing date 2023-02-21
    Publishing country Italy
    Document type Review ; Journal Article
    ZDB-ID 2016546-8
    ISSN 1590-3478 ; 1590-1874
    ISSN (online) 1590-3478
    ISSN 1590-1874
    DOI 10.1007/s10072-023-06642-x
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    Zs.A 1877: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Prediction of diabetes insipidus occurrence after endoscopic endonasal removal of sellar lesions using MRI-based radiomics and machine learning.

    Mastantuoni, Ciro / Ugga, Lorenzo / Solari, Domenico / D'Aniello, Serena / Spadarella, Gaia / Cuocolo, Renato / Angileri, Filippo F / Cavallo, Luigi M

    Journal of neurosurgical sciences

    2024  

    Abstract: Background: Pituitary adenomas and craniopharyngiomas are the most common lesions of the sellar region. These tumors are responsible for invasion or compression of crucial neurovascular structures. The involvement of the pituitary stalk warrants high ... ...

    Abstract Background: Pituitary adenomas and craniopharyngiomas are the most common lesions of the sellar region. These tumors are responsible for invasion or compression of crucial neurovascular structures. The involvement of the pituitary stalk warrants high rates of both pre- and post- operative diabetes insipidus. The aim of our study was to assess the accuracy of machine learning analysis from preoperative MRI of pituitary adenomas and craniopharyngiomas for the prediction of DI occurrence.
    Methods: All patients underwent MRI exams either on a 1.5- or 3-T MR scanner from two Institutions, including coronal T2-weighted (T2-w) and contrast-enhanced T1-weighted (CE T1-w) Turbo Spin Echo sequences. Feature selection was carried out as a multi-step process, with a threshold of 0.75 to identify robust features. Further feature selection steps included filtering based on feature variance (threshold >0.01) and pairwise correlation (threshold <0.80). A Bayesian Network model was trained with 10-fold cross validation employing SMOTE to balance classes exclusively within the training folds.
    Results: Thirty patients were included in this study. In total 2394 features were extracted and 1791 (75%) resulted stable after ICC analysis. The number of variant features was 1351 and of non-colinear features was 125. Finally, 10 features were selected by oneR ranking. The Bayesian Network model showed an accuracy of 63% with a precision of 77% for DI prediction (0.68 area under the precision-recall curve).
    Conclusions: We assessed the accuracy of machine learning analysis of texture-derived parameters from preoperative MRI of pituitary adenomas and craniopharyngiomas for the prediction of DI occurrence.
    Language English
    Publishing date 2024-01-29
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 193139-8
    ISSN 1827-1855 ; 0390-5616 ; 0026-4881
    ISSN (online) 1827-1855
    ISSN 0390-5616 ; 0026-4881
    DOI 10.23736/S0390-5616.23.06162-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications.

    Tortora, Mario / Gemini, Laura / D'Iglio, Imma / Ugga, Lorenzo / Spadarella, Gaia / Cuocolo, Renato

    Journal of imaging

    2022  Volume 8, Issue 4

    Abstract: Photon-counting computed tomography (CT) is a technology that has attracted increasing interest in recent years since, thanks to new-generation detectors, it holds the promise to radically change the clinical use of CT imaging. Photon-counting detectors ... ...

    Abstract Photon-counting computed tomography (CT) is a technology that has attracted increasing interest in recent years since, thanks to new-generation detectors, it holds the promise to radically change the clinical use of CT imaging. Photon-counting detectors overcome the major limitations of conventional CT detectors by providing very high spatial resolution without electronic noise, providing a higher contrast-to-noise ratio, and optimizing spectral images. Additionally, photon-counting CT can lead to reduced radiation exposure, reconstruction of higher spatial resolution images, reduction of image artifacts, optimization of the use of contrast agents, and create new opportunities for quantitative imaging. The aim of this review is to briefly explain the technical principles of photon-counting CT and, more extensively, the potential clinical applications of this technology.
    Language English
    Publishing date 2022-04-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging8040112
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  10. Article: Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges.

    Stanzione, Arnaldo / Cuocolo, Renato / Ugga, Lorenzo / Verde, Francesco / Romeo, Valeria / Brunetti, Arturo / Maurea, Simone

    Cancers

    2022  Volume 14, Issue 19

    Abstract: Imaging plays a crucial role in the management of oncologic patients, from the initial diagnosis to staging and treatment response monitoring. Recently, it has been suggested that its importance could be further increased by accessing a new layer of ... ...

    Abstract Imaging plays a crucial role in the management of oncologic patients, from the initial diagnosis to staging and treatment response monitoring. Recently, it has been suggested that its importance could be further increased by accessing a new layer of previously hidden quantitative data at the pixel level. Using a multi-step process, radiomics extracts potential biomarkers from medical images that could power decision support tools. Despite the growing interest and rising number of research articles being published, radiomics is still far from fulfilling its promise of guiding oncologic imaging toward personalized medicine. This is, at least partly, due to the heterogeneous methodological quality in radiomic research, caused by the complexity of the analysis pipelines. In this review, we aim to disentangle this complexity with a stepwise approach. Specifically, we focus on challenges to face during image preprocessing and segmentation, how to handle imbalanced classes and avoid information leaks, as well as strategies for the proper validation of findings.
    Language English
    Publishing date 2022-10-05
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14194871
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