Megna R, Petretta M, Nappi C, Assante R, Zampella E, Gaudieri V, Mannarino T, D’antonio A, Green R, Cantoni V, Panico M, Acampa W, Cuocolo A
Cardiovascular risk factors and development of nomograms in an Italian cohort of patients with suspected coronary artery disease undergoing SPECT or PET stress myocardial perfusion imaging
Frontiers In Nuclear Medicine, 2024 Feb 14; N/D: 1-9.

Megna R
Evolution of the COVID-19 pandemic in Italy at the national and regional levels from February 2020 to March 2022
Aims Medical Science, 2023 Nov; 10(3): 237-258.

Megna R, Petretta M, Nappi C, Assante R, Zampella E, Gaudieri V, Mannarino T, D , #xantonio A, Green R, Cantoni V, Panico M, Acampa W, Cuocolo A
Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging
J Cardiovasc Dev Dis (ISSN: 2308-3425), 2023 Sep 13; 10(9): 1-14.

Petretta M, Megna R, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, D , #xantonio A, Panico M, Acampa W, Cuocolo A
External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2023 Jan 4; N/D: N/D-N/D.

Volpicelli F, Nappi C, Megna R, Volpe F, Ponsiglione A, Caiazzo E, Piscopo L, G , Mainolfi C, Vergara E, Imbriaco M, Klain M, Petretta M, Cuocolo A
Qualification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Comparison of Two Freely Available Software Programs
Eur J Nucl Med Mol Imaging, 2022; 49(Suppl1): S606-S606.

Nappi C, Megna R, Volpe F, Ponsiglione A, Caiazzo E, Piscopo L, Mainolfi CG, Vergara E, Imbriaco M, Klain M, Petretta M, Cuocolo A
Quantification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Exploratory Comparison of Two Freely Available Software Programs
Applied Sciences Mdpi, 2022; 12,5468: N/D-N/D.

Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, D , #antonio A, Green R, Cantoni V, Arumugam P, Acampa W, Cuocolo A
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
Comput Math Methods Med (ISSN: 1748-670xlinking), 2021 Nov 27; 2021: 3551756-3551756.

Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, Buongiorno P, D , #antonio A, Acampa W, Cuocolo A
External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Nov 3; N/D: N/D-N/D.

Megna R
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
Health Policy (ISSN: 0168-8510, 0168-8510linking), 2021 Nov; 125(11): 1441-1447.

Larobina M, Megna R, Solla R
Comparison of three freeware software packages for (18)F-FDG PET texture feature calculation
Jpn J Radiol (ISSN: 1867-1071linking), 2021 Jul; 39(7): 710-719.

Ricciardi C, Cuocolo R, Megna R, Cesarelli M, Petretta M
Machine learning analysis: general features, requirements and cardiovascular applications
Minerva Cardiol Angiol (ISSN: 2724-5772linking, 2724-5683linking), 2021 May 4; N/D: N/D-N/D.

Nappi C, Megna R, Acampa W, Assante R, Zampella E, Gaudieri V, Mannarino T, Green R, Cantoni V, Petretta M, Cuocolo A
Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease
Eur J Nucl Med (ISSN: 1619-7070linking, 1619-7070print, 1619-7089electronic), 2021 Feb; 48(2): 421-427.

Ponsiglione A, Nappi C, Imbriaco M, Ascione R, Megna R, Petretta M, Cuocolo A
Cardiac magnetic resonance imaging during the COVID-19 pandemic: A southern Italian single-center experience
Eur J Radiol Open (ISSN: 2352-0477electronic, 2352-0477linking), 2021; 8: 100319-100319.

Megna R, Zampella E, Assante R, Nappi C, Gaudieri V, Mannarino T, Cantoni V, Green R, Daniele S, Mainolfi CG, Acampa W, Petretta M, Cuocolo A
Temporal trends of abnormal myocardial perfusion imaging in a cohort of Italian subjects: Relation with cardiovascular risk factors
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Dec; 27(6): 2167-2177.

Megna R
First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast
Glob Health Res Policy (ISSN: 2397-0642linking), 2020 Oct 1; 5: 43-43.

Megna R, Nappi C, Gaudieri V, Mannarino T, Assante R, Zampella E, Green R, Cantoni V, D'Antonio A, Arumugam P, Acampa W, Petretta M, Cuocolo A
Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Jun 29; N/D: N/D-N/D.

Cassiano MT, Lanzillo R, Alfano B, Costabile T, Comerci M, Prinster A, Moccia M, Megna R, Morra VB, Quarantelli M, Brunetti A
Voxel-based analysis of gray matter relaxation rates shows different correlation patterns for cognitive impairment and physical disability in relapsing-remitting multiple sclerosis
Neuroimage Clin (ISSN: 2213-1582linking, 2213-1582electronic), 2020 Jan 30; 26: 102201-102201.

Megna R, Assante R, Zampella E, Gaudieri V, Nappi C, Cuocolo R, Mannarino T, Genova A, Green R, Cantoni V, Acampa W, Petretta M, Cuocolo A
Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2019 Nov 11; N/D: N/D-N/D.

Megna R, Cuocolo A, Petretta M
Applications of Machine Learning in Medicine
Biomedical Journal Of Scientific & Technical Research, 2019 Aug 22; 20: 15350-15352.

Pota M, Esposito M, Megna R, De Pietro G, Quarantelli M, Brescia Morra V, Alfano B
Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis
Biomedical Signal Processing And Control, 2019 Aug; 53: N/D-N/D.

Megna R, Alfano B, Lanzillo R, Costabile T, Comerci M, Vacca G, Carotenuto A, Moccia M, Servillo G, Prinster A, Brescia Morra V, Quarantelli M
Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment
J Neurol (ISSN: 1432-1459electronic, 0340-5354linking, 0340-5354print), 2019 Feb; 266(2): 361-368.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarino T, Buongiorno P, Cuocolo A
A New Relational Database Including Clinical Data and Myocardial Perfusion Imaging Findings in Coronary Artery Disease
Curr Med Imaging Rev (ISSN: 1573-4056linking), 2019; 15(7): 661-671.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarini T, Buongiorno P, Cuocolo A
A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease
Current Medical Imaging, 2019; 15: 661-671.

Larobina M, Solla R, Megna R
Quantitative characterization of tumors in PET: a comparison of three texture analysis software packages
European Journal Of Nuclear Medicine And Molecular Imaging, 2019; 46(Suppl1): EPS112-EPS112.

Esposito M, Minutolo A, Megna R, Forastiere M, Magliulo M, De Pietro G
A smart mobile, self-configuring, context-aware architecture for personal health monitoring
Engineering Applications Of Artificial Intelligence, 2018; 67: 136-156.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarini T, Buongiorno P, Cuocolo A
A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease
European Heart Journal - Cardiovascular Imaging, 2017 May; 18(Suppl1): i37-i37.

Magliulo M, Megna R, Cella L, Liuzzi R, Palma G, Pacelli R
Feasibility Study of Outpatient Monitoring by Fitness Activity Trackers in a Radiation Oncology Department
International Journal Of Radiation Oncology, 2016 Oct; 96(2S): 299-299.

Gramanzini M, Gargiulo S, Zarone F, Megna R, Apicella A, Aversa R, Salvatore M, Mancini M, Sorrentino R, Brunetti A
Combined microcomputed tomography, biomechanical and histomorphometric analysis of the peri-implant bone: a pilot study in minipig model
Dent Mater (ISSN: 0109-5641, 0109-5641linking), 2016 Jun; 32(6): 794-806.

Gargiulo S, Gramanzini M, Coda ARD, Megna R, Panico M, Mancini M, Pappata S
Animal Care in a Mouse Model of Amyotrophic Lateral Sclerosis Studied with [18F]DPA-714 Micro-PET/CT
Comparative Medicine, 2016 Feb; 66(1): 76-76.

Gargiulo S, Gramanzini M, Megna R, Mancini M
Noninvasive Ovarian Imaging in the Murine Models Using Ultrasound Biomicroscopy
Comparative Medicine, 2016 Feb; 66(1): 76-76.

Gargiulo S, Gramanzini M, Megna R, Greco A, Albanese S, Manfredi C, Brunetti A
Evaluation of growth patterns and body composition in C57Bl/6J mice using dual energy X-ray absorptiometry
Biomed Res Int (ISSN: 2314-6133, 2314-6141), 2014 Jul; 2014: 253067-253067.