Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: 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 2020;15:661-671. [PMID: 32008514 DOI: 10.2174/1573405614666180807110829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 06/28/2018] [Accepted: 07/12/2018] [Indexed: 12/11/2022]

For:	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 2020;15:661-671. [PMID: 32008514 DOI: 10.2174/1573405614666180807110829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 06/28/2018] [Accepted: 07/12/2018] [Indexed: 12/11/2022]

Number

Cited by Other Article(s)

Balasan N, Kharrat F, Di Lorenzo G, Athanasakis E, Bianco AM, Conti A, Di Stazio MT, Butera G, Cicogna S, Mangogna A, Romano F, Ricci G, d’Adamo AP. Sensitive Detection of Gynecological Cancer Recurrence Using Circulating Tumor DNA and Digital PCR: A Comparative Study with Serum Biochemical Markers. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 2024;25:11997. [PMID: 39596073 PMCID: PMC11593349 DOI: 10.3390/ijms252211997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 10/25/2024] [Accepted: 10/31/2024] [Indexed: 11/28/2024]

Affiliation(s)

Nour Balasan Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Feras Kharrat Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Giovanni Di Lorenzo Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Emmanouil Athanasakis Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Anna Monica Bianco Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Andrea Conti Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Maria Teresa Di Stazio Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Giulia Butera Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Stefania Cicogna Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Alessandro Mangogna Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Federico Romano Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.)
Giuseppe Ricci Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.) Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy
Adamo Pio d’Adamo Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, 65/1 Via dell’Istria, 34137 Trieste, Italy; (F.K.); (E.A.); (A.M.B.); (A.C.); (M.T.D.S.); (G.B.); (S.C.); (A.M.); (F.R.); (G.R.); (A.P.d.) Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy

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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 (LAUSANNE, SWITZERLAND) 2024;4:1232135. [PMID: 39355219 PMCID: PMC11440955 DOI: 10.3389/fnume.2024.1232135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 01/29/2024] [Indexed: 10/03/2024]

Abstract

Introduction

Single-photon emission computed tomography (SPECT) and positron emission tomography (PET) are non-invasive nuclear medicine techniques that can identify areas of abnormal myocardial perfusion. We assessed the prevalence of cardiovascular risk factors in patients with suspected coronary artery disease (CAD) undergoing SPECT or PET stress myocardial perfusion imaging (MPI). Based on significant risk factors associated with an abnormal MPI, we developed a nomogram for each cohort as a pretest that would be helpful in decision-making for clinicians.

Methods

A total of 6,854 patients with suspected CAD who underwent stress myocardial perfusion imaging by SPECT or PET/CT was studied. As part of the baseline examination, clinical teams collected information on traditional cardiovascular risk factors: age, gender, body mass index, angina, dyspnea, diabetes, hypertension, hyperlipidemia, family history of CAD, and smoking.

Results

The prevalence of cardiovascular risk factors was different in the two cohorts of patients undergoing SPECT (n = 4,397) or PET (n = 2,457) myocardial perfusion imaging. A statistical significance was observed in both cohorts for age, gender, and diabetes. At multivariable analysis, only age and male gender were significant covariates in both cohorts. The risk of abnormal myocardial perfusion imaging related to age was greater in patients undergoing PET (odds ratio 4% vs. 1% per year). In contrast, male gender odds ratio was slightly higher for SPECT compared to PET (2.52 vs. 2.06). In the SPECT cohort, smoking increased the risk of abnormal perfusion of 24%. Among patients undergoing PET, diabetes and hypertension increased the risk of abnormal perfusion by 63% and 37%, respectively. For each cohort, we obtained a nomogram by significant risk factors at multivariable logistic regression. The area under the receiver operating characteristic curve associated with the nomogram was 0.67 for SPECT and 0.73 for the PET model.

Conclusions

Patients with suspected CAD belonging to two different cohorts undergoing SPECT or PET stress myocardial perfusion imaging can have different cardiovascular risk factors associated with a higher risk of an abnormal MPI study. As crude variables, age, gender, and diabetes were significant for both cohorts. Net of the effect of other covariates, age and gender were the only risk factors in common between the two cohorts. Furthermore, smoking and type of stress test were significant for the SPECT cohort, where as diabetes and hypertension were significant for the PET cohort. Nomograms obtained by significant risk factors for the two cohorts can be used by clinicians to evaluate the risk of an abnormal study.

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Petretta M, Panico M, Mainolfi CG, Cuocolo A. Including myocardial flow reserve by PET in prediction models: Ready to fly? JOURNAL OF NUCLEAR CARDIOLOGY 2023;30:2054-2057. [PMID: 37072671 DOI: 10.1007/s12350-023-03259-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/11/2023] [Indexed: 04/20/2023]

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. Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging. JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE 2023;10:395. [PMID: 37754824 PMCID: PMC10531606 DOI: 10.3390/jcdd10090395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/07/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023]

Affiliation(s)

Rosario Megna Institute of Biostructure and Bioimaging, National Council of Research, via T. De Amicis 95, 80145 Naples, Italy;
Mario Petretta IRCCS Synlab SDN, via Gianturco 113, 80143 Naples, Italy;
Carmela Nappi Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Roberta Assante Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Emilia Zampella Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Valeria Gaudieri Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Teresa Mannarino Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Adriana D’Antonio Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Roberta Green Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Valeria Cantoni Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Mariarosaria Panico Institute of Biostructure and Bioimaging, National Council of Research, via T. De Amicis 95, 80145 Naples, Italy;
Wanda Acampa Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)
Alberto Cuocolo Department of Advanced Biomedical Sciences, University Federico II, via Pansini 5, 80131 Naples, Italy; (C.N.); (R.A.); (E.Z.); (V.G.); (T.M.); (A.D.); (R.G.); (V.C.); (W.A.); (A.C.)

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Petretta M, Megna R, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, D’Antonio 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. JOURNAL OF NUCLEAR CARDIOLOGY 2023;30:1443-1453. [PMID: 36598749 PMCID: PMC10371932 DOI: 10.1007/s12350-022-03173-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/21/2022] [Indexed: 01/05/2023]

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. JOURNAL OF NUCLEAR CARDIOLOGY 2022;29:2967-2973. [PMID: 34734366 DOI: 10.1007/s12350-021-02855-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/21/2021] [Indexed: 01/18/2023]

Rovera G, Fariselli P, Deandreis D. Development of a REDCap-based workflow for high-volume relational data analysis on real-time data in a medical department using open source software. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022;226:107111. [PMID: 36108572 DOI: 10.1016/j.cmpb.2022.107111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 07/27/2022] [Accepted: 09/04/2022] [Indexed: 06/15/2023]

Abstract

BACKGROUND/AIM

The current availability of large volumes of clinical data has provided medical departments with the opportunity for large-scale analyses, but it has also brought forth the need for an effective strategy of data-storage and data-analysis that is both technically feasible and economically sustainable in the context of limited resources and manpower. Therefore, the aim of this study was to develop a widely-usable data-collection and data-analysis workflow that could be applied in medical departments to perform high-volume relational data analysis on real-time data.

METHODS

A sample project, based on a research database on prostate-specific-membrane-antigen/positron-emission-tomography scans performed in prostate cancer patients at our department, was used to develop a new workflow for data-collection and data-analysis. A checklist of requirements for a successful data-collection/analysis strategy, based on shared clinical research experience, was used as reference standard. Software libraries were selected based on widespread availability, reliability, cost, and technical expertise of the research team (REDCap-v11.0.0 for collaborative data-collection, Python-v3.8.5 for data retrieval and SQLite-v3.31.1 for data storage). The primary objective of this study was to develop and implement a workflow to: a) easily store large volumes of structured data into a relational database, b) perform scripted analyses on relational data retrieved in real-time from the database. The secondary objective was to enhance the strategy cost-effectiveness by using open-source/cost-free software libraries.

RESULTS

A fully working data strategy was developed and successfully applied to a sample research project. The REDCap platform provided a remote and secure method to collaboratively collect large volumes of standardized relational data, with low technical difficulty and role-based access-control. A Python software was coded to retrieve live data through the REDCap-API and persist them to an SQLite database, preserving data-relationships. The SQL-language enabled complex datasets retrieval, while Python allowed for scripted data computation and analysis. Only cost-free software libraries were used and the sample code was made available through a GitHub repository.

CONCLUSIONS

A REDCap-based data-collection and data-analysis workflow, suitable for high-volume relational data-analysis on live data, was developed and successfully implemented using open-source software.

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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. JOURNAL OF NUCLEAR CARDIOLOGY 2022;29:323-333. [PMID: 32601888 DOI: 10.1007/s12350-020-02247-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 06/15/2020] [Indexed: 02/07/2023]

A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021;2021:3551756. [PMID: 34873413 PMCID: PMC8643229 DOI: 10.1155/2021/3551756] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/29/2021] [Accepted: 11/15/2021] [Indexed: 12/30/2022]

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. JOURNAL OF NUCLEAR CARDIOLOGY 2021;28:1891-1902. [PMID: 31823327 DOI: 10.1007/s12350-019-01941-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 10/17/2019] [Indexed: 02/06/2023]

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. JOURNAL OF NUCLEAR CARDIOLOGY 2020;27:2167-2177. [PMID: 30734219 DOI: 10.1007/s12350-019-01630-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 01/23/2019] [Indexed: 01/10/2023]

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. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2020;48:421-427. [PMID: 32778930 PMCID: PMC7417201 DOI: 10.1007/s00259-020-04994-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/06/2020] [Indexed: 01/27/2023]