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Varrassi M, Cobianchi Bellisari F, Bruno F, Palumbo P, Natella R, Maggialetti N, De Filippo M, Di Cesare E, Barile A, Masciocchi C, Caranci F, Splendiani A. High-resolution magnetic resonance imaging at 3T of pituitary gland: advantages and pitfalls. Gland Surg 2019; 8:S208-S215. [PMID: 31559187 DOI: 10.21037/gs.2019.06.08] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Magnetic resonance imaging (MRI) is the primary imaging tool for the evaluation of pituitary gland pathology. In the last decades, MRI with high-field scanners has become widely used in clinical practice, leading to significant improvements in image quality mainly thanks to a superior spatial resolution and signal intensity. Moreover, several advanced functional MRI sequences have been implemented for pituitary imaging, providing valuable information in diagnostic and presurgical planning of pituitary adenomas. Higher field strength presents however some technical pitfalls to be aware of. The purpose of this article is to review the state of the art of high-resolution MRI of the pituitary gland at 3 Tesla (3T), with a particular focus on the main benefits and the possible limitations of higher field imaging.
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Affiliation(s)
- Marco Varrassi
- Radiology Department, S. Salvatore Hospital, L'Aquila, Italy
| | | | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Raffaele Natella
- Radiology Department, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Nicola Maggialetti
- Department of Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | | | - Ernesto Di Cesare
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | | | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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Manetta R, Palumbo P, Gianneramo C, Bruno F, Arrigoni F, Natella R, Maggialetti N, Agostini A, Giovagnoni A, Di Cesare E, Splendiani A, Masciocchi C, Barile A. Correlation between ADC values and Gleason score in evaluation of prostate cancer: multicentre experience and review of the literature. Gland Surg 2019; 8:S216-S222. [PMID: 31559188 DOI: 10.21037/gs.2019.05.02] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Prostate cancer (PCa) is one of the most common cancers in male population. Multiparametric prostate magnetic resonance imaging (mp-MRI) has assumed a primary role in the diagnosis of PCa, combining morphological and functional data. Among different sequences, functional diffusion weighted imaging (DWI) is a powerful clinical tool which provides information about tissue on a cellular level. However, there is a considerable overlap between either BPH (Benign Prostate Hypertrophy) and prostatic cancer condition, as a different DWI signal intensity could be shown in the normal architecture gland. Apparent diffusion coefficient (ADC) has shown an increasing accuracy in addition to the DWI analysis in detection and localization of PCa. Notably, ADC maps derived DWI sequences has shown an overall high correlation with Gleason score (GS), considering the importance of an accurate grading of focal lesion, as main predictor factor. Furthermore, beyond the comparative analysis with DWI, ADC values has proven to be an useful marker of tumor aggressiveness, providing quantitative information on tumor characteristics according with GS and Gleason pattern, even more strenuous data are needed in order to verify which ADC analysis is more accurate.
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Affiliation(s)
- Rosa Manetta
- Division of Radiology, San Salvatore Hospital, L'Aquila, Italy
| | - Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Camilla Gianneramo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesco Arrigoni
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Raffaele Natella
- Radiology Department, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Nicola Maggialetti
- Department of Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | - Andrea Agostini
- Department of Radiology, Ospedale Riuniti, Università Politecnica delle Marche, Ancona, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Ospedale Riuniti, Università Politecnica delle Marche, Ancona, Italy
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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Bruno F, Arrigoni F, Maggialetti N, Natella R, Reginelli A, Di Cesare E, Brunese L, Giovagnoni A, Masciocchi C, Splendiani A, Barile A. Neuroimaging in emergency: a review of possible role of pineal gland disease. Gland Surg 2019; 8:133-140. [PMID: 31183323 DOI: 10.21037/gs.2019.01.02] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The pineal gland can be involved in a variety of neoplastic and congenital masses and tumors. Pineal gland neoplasms occur more frequently in children, accounting for 3-8% of intracranial tumors in the pediatric population. Pineal cysts are small lesions usually asymptomatic and encountered incidentally. Pathologic processes involving the pineal region produce signs and symptoms related to the mass effect on the adjacent structures and invasion of surrounding structures. These include several acute symptoms, such as increased intracranial pressure syndrome from obstruction of the aqueduct and consequent hydrocephalus, and Parinaud syndrome. Pineal apoplexy is rare and refers to the sudden neurological deterioration following hemorrhage in the pineal gland, most commonly into a pineal cyst. Knowledge of the clinical presentation and imaging features of these lesions is essential to narrow the differential diagnosis, especially when presenting with acute onset.
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Affiliation(s)
- Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesco Arrigoni
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Nicola Maggialetti
- Department of Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | - Raffaele Natella
- Radiology Department, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alfonso Reginelli
- Radiology Department, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Ernesto Di Cesare
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Luca Brunese
- Department of Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Ospedali Riuniti, Università Politecnica delle Marche, Ancona, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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Bruno F, Arrigoni F, Palumbo P, Natella R, Maggialetti N, Reginelli A, Splendiani A, Di Cesare E, Brunese L, Guglielmi G, Giovagnoni A, Masciocchi C, Barile A. New advances in MRI diagnosis of degenerative osteoarthropathy of the peripheral joints. Radiol Med 2019; 124:1121-1127. [PMID: 30771216 DOI: 10.1007/s11547-019-01003-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 02/04/2019] [Indexed: 12/31/2022]
Abstract
Degenerative osteoarthropathy is one of the leading causes of the pain and disability from musculoskeletal disease in the adult population. Magnetic resonance imaging (MRI) allows optimal visualization of all tissues involved in degenerative osteoarthritis disease process, mainly the articular cartilage. In addition to qualitative and semiquantitative morphologic assessment, several MRI-based advanced techniques have been developed to allow characterization and quantification of the biochemical cartilage composition. These include quantitative analysis and several compositional techniques (T1 and T2 relaxometry measurements and mapping, sodium imaging, delayed gadolinium-enhanced MRI of cartilage dGEMRIC, glycosaminoglycan-specific chemical exchange saturation transfer gagCEST, diffusion-weighted imaging DWI and diffusion tensor imaging DTI). These compositional MRI techniques may have the potential to serve as quantitative, reproducible, noninvasive and objective endpoints for OA assessment, particularly in diagnosis of early and pre-radiographic stages of the disease and in monitoring disease progression and treatment effects over time.
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Affiliation(s)
- Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Francesco Arrigoni
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Raffaele Natella
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Nicola Maggialetti
- Department Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | - Alfonso Reginelli
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Ernesto Di Cesare
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Luca Brunese
- Department Life and Health "V. Tiberio", University of Molise, Campobasso, Italy
| | - Giuseppe Guglielmi
- Department of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, University of Foggia, Foggia, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Ospedali Riuniti, Università Politecnica delle Marche, Ancona, Italy
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy.
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