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Volpe F, Nappi C, Ponsiglione A, Klain M. Radiofrequency ablation versus radioactive iodine: the race for the best cure. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06679-w. [PMID: 38489055 DOI: 10.1007/s00259-024-06679-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Affiliation(s)
- Fabio Volpe
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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Ponsiglione A, Nappi C, Volpe F, Klain M. Expanding the long-axial field-of-view PET-CT horizons: unveiling new arrows in our quiver. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06665-2. [PMID: 38433150 DOI: 10.1007/s00259-024-06665-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
| | - Fabio Volpe
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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Frittoli B, Castaldo A, Santarsiere M, Ascione R, Tanzi G, Ponsiglione A, Baiocchi GL, Grazioli L. A unique case of lymphoepithelioma-like HCC with osteoclast-like giant cells: CT imaging features with pathologic correlations. Clin J Gastroenterol 2024; 17:112-117. [PMID: 37864655 PMCID: PMC10830663 DOI: 10.1007/s12328-023-01871-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/26/2023] [Indexed: 10/23/2023]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver, with several histological variants being reported in literature. Hereby, we describe a case of a 77-year-old man with chronic liver disease referred to our department for performing a computed tomography (CT) due to a liver mass discovered at an abdominal ultrasound follow-up. At CT, a large, ill-defined lesion in the third hepatic segment was detected, characterized by progressive and delayed enhancement with minimal retraction of the hepatic capsule, associated with perihepatic adipose tissue inhomogeneity, mimicking a cholangiocarcinoma. At histopathological evaluation, the lesion turned out to be an HCC with lymphoepithelioma-like component and osteoclastic-like giant cells. This report focuses on the clinicopathological and radiological features of this unique case.
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Affiliation(s)
| | - Anna Castaldo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Marika Santarsiere
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Giulia Tanzi
- Department of Pathology, ASST Cremona, Cremona, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy.
| | - Gian Luca Baiocchi
- Department of Clinical and Experimental Sciences, Surgical Clinic, University of Brescia, Brescia, Italy
- Department of Surgery, ASST Cremona, Cremona, Italy
| | - Luigi Grazioli
- Department of Radiology, ASST Spedali Civili, Brescia, Italy
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Nappi C, Zampella E, Gaudieri V, Volpe F, Piscopo L, Vallone C, Pace L, Ponsiglione A, Maurea S, Nicolai E, Cuocolo A, Klain M. Tumor Burden of Iodine-Avid Bone Metastatic Thyroid Cancer Identified via 18F-Sodium Fluoride PET/CT Imaging. J Clin Med 2024; 13:569. [PMID: 38276075 PMCID: PMC10816004 DOI: 10.3390/jcm13020569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Patients with differentiated thyroid cancer (DTC) are referred to radioactive 131I (RAI) therapy and post-therapy 131I whole-body scintigraphy (WBS) to identify local and/or remote metastases. Positron emission tomography (PET)/computed tomography (CT) imaging with 18F-fluoro-D-glucose (FDG) or 18F-sodium fluoride (NaF) may also be used with these patients for the evaluation of bone metastases. We compared the role of 18F-NaF PET/CT and 18F-FDG-PET/CT in patients with DTC and documented bone metastases at post-therapy WBS. METHODS Ten consecutive DTC patients with iodine avid bone metastasis at post-therapy WBS referred to 18F-NaF PET/CT and 18F-FDG PET/CT were studied. The findings of the three imaging procedures were compared for abnormal detection rates and concordance. RESULTS At post-therapy 131I WBS, all patients had skeletal involvement with a total of 21 bone iodine avid lesions. At 18F-FDG PET/TC, 19 bone lesions demonstrated increased tracer uptake and CT pathological alterations, while 2 lesions did not show any pathological finding. At 18F-NaF PET/CT, the 19 bone lesions detected at 18F-FDG PET/TC also demonstrated abnormal tracer uptake, and the other 2 bone iodine avid foci did not show any pathological finding. CONCLUSIONS In patients with DTC, 18F-NaF PET/CT did not obtain more information on the metastatic skeletal involvement than post-therapy 131I WBS and 18F-FDG PET/CT.
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Affiliation(s)
- Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Emilia Zampella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Valeria Gaudieri
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Fabio Volpe
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Leandra Piscopo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Carlo Vallone
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Leonardo Pace
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Salerno, Italy;
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Simone Maurea
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | | | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Napoli, Italy (V.G.); (L.P.); (C.V.); (A.C.); (M.K.)
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Kocak B, Akinci D'Antonoli T, Mercaldo N, Alberich-Bayarri A, Baessler B, Ambrosini I, Andreychenko AE, Bakas S, Beets-Tan RGH, Bressem K, Buvat I, Cannella R, Cappellini LA, Cavallo AU, Chepelev LL, Chu LCH, Demircioglu A, deSouza NM, Dietzel M, Fanni SC, Fedorov A, Fournier LS, Giannini V, Girometti R, Groot Lipman KBW, Kalarakis G, Kelly BS, Klontzas ME, Koh DM, Kotter E, Lee HY, Maas M, Marti-Bonmati L, Müller H, Obuchowski N, Orlhac F, Papanikolaou N, Petrash E, Pfaehler E, Pinto Dos Santos D, Ponsiglione A, Sabater S, Sardanelli F, Seeböck P, Sijtsema NM, Stanzione A, Traverso A, Ugga L, Vallières M, van Dijk LV, van Griethuysen JJM, van Hamersvelt RW, van Ooijen P, Vernuccio F, Wang A, Williams S, Witowski J, Zhang Z, Zwanenburg A, Cuocolo R. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII. Insights Imaging 2024; 15:8. [PMID: 38228979 DOI: 10.1186/s13244-023-01572-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/20/2023] [Indexed: 01/18/2024] Open
Abstract
PURPOSE To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. METHODS We conducted an online modified Delphi study with a group of international experts. It was performed in three consecutive stages: Stage#1, item preparation; Stage#2, panel discussion among EuSoMII Auditing Group members to identify the items to be voted; and Stage#3, four rounds of the modified Delphi exercise by panelists to determine the items eligible for the METRICS and their weights. The consensus threshold was 75%. Based on the median ranks derived from expert panel opinion and their rank-sum based conversion to importance scores, the category and item weights were calculated. RESULT In total, 59 panelists from 19 countries participated in selection and ranking of the items and categories. Final METRICS tool included 30 items within 9 categories. According to their weights, the categories were in descending order of importance: study design, imaging data, image processing and feature extraction, metrics and comparison, testing, feature processing, preparation for modeling, segmentation, and open science. A web application and a repository were developed to streamline the calculation of the METRICS score and to collect feedback from the radiomics community. CONCLUSION In this work, we developed a scoring tool for assessing the methodological quality of the radiomics research, with a large international panel and a modified Delphi protocol. With its conditional format to cover methodological variations, it provides a well-constructed framework for the key methodological concepts to assess the quality of radiomic research papers. CRITICAL RELEVANCE STATEMENT A quality assessment tool, METhodological RadiomICs Score (METRICS), is made available by a large group of international domain experts, with transparent methodology, aiming at evaluating and improving research quality in radiomics and machine learning. KEY POINTS • A methodological scoring tool, METRICS, was developed for assessing the quality of radiomics research, with a large international expert panel and a modified Delphi protocol. • The proposed scoring tool presents expert opinion-based importance weights of categories and items with a transparent methodology for the first time. • METRICS accounts for varying use cases, from handcrafted radiomics to entirely deep learning-based pipelines. • A web application has been developed to help with the calculation of the METRICS score ( https://metricsscore.github.io/metrics/METRICS.html ) and a repository created to collect feedback from the radiomics community ( https://github.com/metricsscore/metrics ).
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Affiliation(s)
- Burak Kocak
- Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, Turkey
| | - Tugba Akinci D'Antonoli
- Institute of Radiology and Nuclear Medicine, Cantonal Hospital Baselland, Liestal, Switzerland.
| | - Nathaniel Mercaldo
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Bettina Baessler
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
| | - Ilaria Ambrosini
- Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy
| | - Anna E Andreychenko
- Laboratory for Digital Public Health Technologies, ITMO University, St. Petersburg, Russian Federation
| | - Spyridon Bakas
- Division of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA
- Center for Federated Learning in Precision Medicine, Indiana University, Indianapolis, IN, USA
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Keno Bressem
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Irene Buvat
- Institut Curie, Inserm, PSL University, Laboratory of Translational Imaging in Oncology, Orsay, France
| | - Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | | | - Armando Ugo Cavallo
- Division of Radiology, Istituto Dermopatico dell'Immacolata (IDI) IRCCS, Rome, Italy
| | - Leonid L Chepelev
- Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada
| | - Linda Chi Hang Chu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Aydin Demircioglu
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital , Essen, Germany
| | - Nandita M deSouza
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
- Department of Imaging, The Royal Marsden National Health Service (NHS) Foundation Trust, London, UK
| | - Matthias Dietzel
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | | | - Andrey Fedorov
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laure S Fournier
- Department of Radiology, Université Paris Cité, AP-HP, Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris, France
| | | | - Rossano Girometti
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Kevin B W Groot Lipman
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Georgios Kalarakis
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Science, Division of Radiology, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Medical School, University of Crete, Heraklion, Greece
| | - Brendan S Kelly
- Department of Radiology, St Vincent's University Hospital, Dublin, Ireland
- Insight Centre for Data Analytics, UCD, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Michail E Klontzas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece
- Department of Radiology, School of Medicine, University of Crete, Heraklion, Crete, Greece
- Computational Biomedicine Laboratory, Institute of Computer Science, FORTH, Heraklion, Crete, Greece
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden Hospital, Sutton, UK
| | - Elmar Kotter
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Mario Maas
- Department of Radiology & Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - Luis Marti-Bonmati
- Medical Imaging Department and Biomedical Imaging Research Group, Hospital Universitario y Politécnico La Fe and Health Research Institute, Valencia, Spain
| | - Henning Müller
- University of Applied Sciences of Western Switzerland (HES-SO Valais), Sierra, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva (UniGe), Geneva, Switzerland
| | - Nancy Obuchowski
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Fanny Orlhac
- Institut Curie, Inserm, PSL University, Laboratory of Translational Imaging in Oncology, Orsay, France
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal
- Department of Radiology, Royal Marsden Hospital and The Institute of Cancer Research, London, UK
| | - Ekaterina Petrash
- Radiology department, Research Institute of Pediatric Oncology and Hematology n. a. L.A. Durnov, National Medical Research Center of Oncology n. a. N.N. Blokhin Ministry of Health of Russian Federation, Moscow, Russia
- Medical Department IRA-Labs, Moscow, Russia
| | - Elisabeth Pfaehler
- Institute for advanced simulation (IAS-8): Machine learning and data analytics, Forschungszentrum Jülich, Jülich, Germany
| | - Daniel Pinto Dos Santos
- Department of Radiology, University Hospital of Cologne, Cologne, Germany
- Institute for Diagnostic and Interventional Radiology, Goethe-University Frankfurt Am Main, Frankfurt, Germany
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Sebastià Sabater
- Department of Radiation Oncology, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
- Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Philipp Seeböck
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nanna M Sijtsema
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Alberto Traverso
- Department of Radiotherapy, Maastro Clinic, Maastricht, the Netherlands
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, Canada
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Canada
| | - Lisanne V van Dijk
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Robbert W van Hamersvelt
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Peter van Ooijen
- Department of Radiotherapy, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Federica Vernuccio
- Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnosis (Bi.N.D), University of Palermo, Palermo, 90127, Italy
| | - Alan Wang
- Centre for Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Stuart Williams
- Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, UK
| | - Jan Witowski
- Department of Radiology, New York University Grossman School of Medicine, New York, USA
| | - Zhongyi Zhang
- School of Information and Communication Technology, Griffith University, Nathan, Brisbane, Australia
| | - Alex Zwanenburg
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
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Nicoletti G, Mazzetti S, Maimone G, Cignini V, Cuocolo R, Faletti R, Gatti M, Imbriaco M, Longo N, Ponsiglione A, Russo F, Serafini A, Stanzione A, Regge D, Giannini V. Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI. Cancers (Basel) 2024; 16:203. [PMID: 38201630 PMCID: PMC10778513 DOI: 10.3390/cancers16010203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/19/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
In the last years, several studies demonstrated that low-aggressive (Grade Group (GG) ≤ 2) and high-aggressive (GG ≥ 3) prostate cancers (PCas) have different prognoses and mortality. Therefore, the aim of this study was to develop and externally validate a radiomic model to noninvasively classify low-aggressive and high-aggressive PCas based on biparametric magnetic resonance imaging (bpMRI). To this end, 283 patients were retrospectively enrolled from four centers. Features were extracted from apparent diffusion coefficient (ADC) maps and T2-weighted (T2w) sequences. A cross-validation (CV) strategy was adopted to assess the robustness of several classifiers using two out of the four centers. Then, the best classifier was externally validated using the other two centers. An explanation for the final radiomics signature was provided through Shapley additive explanation (SHAP) values and partial dependence plots (PDP). The best combination was a naïve Bayes classifier trained with ten features that reached promising results, i.e., an area under the receiver operating characteristic (ROC) curve (AUC) of 0.75 and 0.73 in the construction and external validation set, respectively. The findings of our work suggest that our radiomics model could help distinguish between low- and high-aggressive PCa. This noninvasive approach, if further validated and integrated into a clinical decision support system able to automatically detect PCa, could help clinicians managing men with suspicion of PCa.
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Affiliation(s)
- Giulia Nicoletti
- Department of Electronics and Telecommunications, Polytechnic of Turin, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy;
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
| | - Simone Mazzetti
- Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142—KM 3.95, 10060 Candiolo, Italy; (S.M.); (G.M.); (F.R.); (D.R.)
| | - Giovanni Maimone
- Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142—KM 3.95, 10060 Candiolo, Italy; (S.M.); (G.M.); (F.R.); (D.R.)
| | - Valentina Cignini
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
| | - Renato Cuocolo
- Department of Medicine, Surgery, and Dentistry, University of Salerno, Via Salvador Allende, 43, 84081 Baronissi, Italy;
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Pansini, 5, 80131 Naples, Italy; (M.I.); (A.P.)
| | - Nicola Longo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples “Federico II”, Via Pansini, 5, 80131 Naples, Italy;
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Pansini, 5, 80131 Naples, Italy; (M.I.); (A.P.)
| | - Filippo Russo
- Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142—KM 3.95, 10060 Candiolo, Italy; (S.M.); (G.M.); (F.R.); (D.R.)
| | - Alessandro Serafini
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Pansini, 5, 80131 Naples, Italy; (M.I.); (A.P.)
| | - Daniele Regge
- Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142—KM 3.95, 10060 Candiolo, Italy; (S.M.); (G.M.); (F.R.); (D.R.)
- Department of Translational Research, Via Risorgimento, 36, University of Pisa, 56126 Pisa, Italy
| | - Valentina Giannini
- Department of Surgical Sciences, University of Turin, Corso Dogliotti, 14, 10126 Turin, Italy; (V.C.); (R.F.); (A.S.)
- Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142—KM 3.95, 10060 Candiolo, Italy; (S.M.); (G.M.); (F.R.); (D.R.)
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7
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Dell’Aversana S, Ascione R, Vitale RA, Cavaliere F, Porcaro P, Basile L, Napolitano G, Boccalatte M, Sibilio G, Esposito G, Franzone A, Di Costanzo G, Muscogiuri G, Sironi S, Cuocolo R, Cavaglià E, Ponsiglione A, Imbriaco M. CT Coronary Angiography: Technical Approach and Atherosclerotic Plaque Characterization. J Clin Med 2023; 12:7615. [PMID: 38137684 PMCID: PMC10744060 DOI: 10.3390/jcm12247615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/08/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Coronary computed tomography angiography (CCTA) currently represents a robust imaging technique for the detection, quantification and characterization of coronary atherosclerosis. However, CCTA remains a challenging task requiring both high spatial and temporal resolution to provide motion-free images of the coronary arteries. Several CCTA features, such as low attenuation, positive remodeling, spotty calcification, napkin-ring and high pericoronary fat attenuation index have been proved as associated to high-risk plaques. This review aims to explore the role of CCTA in the characterization of high-risk atherosclerotic plaque and the recent advancements in CCTA technologies with a focus on radiomics plaque analysis.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Raffaella Antonia Vitale
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Fabrizia Cavaliere
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Piercarmine Porcaro
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Luigi Basile
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | | | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Giovanni Esposito
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Anna Franzone
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Giuseppe Muscogiuri
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
| | - Sandro Sironi
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
- School of Medicine and Surgery, University of Milano Bicocca, 20126 Milan, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy;
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
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Ponsiglione A, Cuocolo R. Radiology under siege? Adversarial attacks against deep learning algorithms. Eur J Radiol 2023; 169:111156. [PMID: 37866194 DOI: 10.1016/j.ejrad.2023.111156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy. https://twitter.com/A_PonsiglioneMD
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
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Ponsiglione A, Gambardella M, Stanzione A, Green R, Cantoni V, Nappi C, Crocetto F, Cuocolo R, Cuocolo A, Imbriaco M. Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis. Eur Radiol 2023:10.1007/s00330-023-10427-3. [PMID: 37955670 DOI: 10.1007/s00330-023-10427-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/10/2023] [Accepted: 09/27/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES Extraprostatic extension (EPE) of prostate cancer (PCa) is predicted using clinical nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and standardization represent unsolved issues. MRI radiomics has been proposed for EPE prediction. The aim of the study was to systematically review the literature and perform a meta-analysis of MRI-based radiomics approaches for EPE prediction. MATERIALS AND METHODS Multiple databases were systematically searched for radiomics studies on EPE detection up to June 2022. Methodological quality was appraised according to Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool and radiomics quality score (RQS). The area under the receiver operating characteristic curves (AUC) was pooled to estimate predictive accuracy. A random-effects model estimated overall effect size. Statistical heterogeneity was assessed with I2 value. Publication bias was evaluated with a funnel plot. Subgroup analyses were performed to explore heterogeneity. RESULTS Thirteen studies were included, showing limitations in study design and methodological quality (median RQS 10/36), with high statistical heterogeneity. Pooled AUC for EPE identification was 0.80. In subgroup analysis, test-set and cross-validation-based studies had pooled AUC of 0.85 and 0.89 respectively. Pooled AUC was 0.72 for deep learning (DL)-based and 0.82 for handcrafted radiomics studies and 0.79 and 0.83 for studies with multiple and single scanner data, respectively. Finally, models with the best predictive performance obtained using radiomics features showed pooled AUC of 0.82, while those including clinical data of 0.76. CONCLUSION MRI radiomics-powered models to identify EPE in PCa showed a promising predictive performance overall. However, methodologically robust, clinically driven research evaluating their diagnostic and therapeutic impact is still needed. CLINICAL RELEVANCE STATEMENT Radiomics might improve the management of prostate cancer patients increasing the value of MRI in the assessment of extraprostatic extension. However, it is imperative that forthcoming research prioritizes confirmation studies and a stronger clinical orientation to solidify these advancements. KEY POINTS • MRI radiomics deserves attention as a tool to overcome the limitations of MRI in prostate cancer local staging. • Pooled AUC was 0.80 for the 13 included studies, with high heterogeneity (84.7%, p < .001), methodological issues, and poor clinical orientation. • Methodologically robust radiomics research needs to focus on increasing MRI sensitivity and bringing added value to clinical nomograms at patient level.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | | | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy.
| | - Roberta Green
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Valeria Cantoni
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Felice Crocetto
- Department of Neurosciences, Human Reproduction and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
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Volpe F, Nappi C, Piscopo L, Zampella E, Mainolfi CG, Ponsiglione A, Imbriaco M, Cuocolo A, Klain M. Emerging Role of Nuclear Medicine in Prostate Cancer: Current State and Future Perspectives. Cancers (Basel) 2023; 15:4746. [PMID: 37835440 PMCID: PMC10571937 DOI: 10.3390/cancers15194746] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Prostate cancer is the most frequent epithelial neoplasia after skin cancer in men starting from 50 years and prostate-specific antigen (PSA) dosage can be used as an early screening tool. Prostate cancer imaging includes several radiological modalities, ranging from ultrasonography, computed tomography (CT), and magnetic resonance to nuclear medicine hybrid techniques such as single-photon emission computed tomography (SPECT)/CT and positron emission tomography (PET)/CT. Innovation in radiopharmaceutical compounds has introduced specific tracers with diagnostic and therapeutic indications, opening the horizons to targeted and very effective clinical care for patients with prostate cancer. The aim of the present review is to illustrate the current knowledge and future perspectives of nuclear medicine, including stand-alone diagnostic techniques and theragnostic approaches, in the clinical management of patients with prostate cancer from initial staging to advanced disease.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80138 Naples, Italy; (F.V.); (C.N.); (L.P.); (E.Z.); (C.G.M.); (A.P.); (M.I.); (A.C.)
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Ponsiglione A, Campo I, Sachs C, Sofia C, Álvarez-Hornia Pérez E, Ciabattoni R, Sharaf DE, Causa-Andrieu P, Stanzione A, Cuocolo R, Zawaideh J, Brembilla G. Extraprostatic incidental findings on prostate mpMRI: A pictorial review from the ESUR junior network. Eur J Radiol 2023; 166:110984. [PMID: 37480649 DOI: 10.1016/j.ejrad.2023.110984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/10/2023] [Accepted: 07/16/2023] [Indexed: 07/24/2023]
Abstract
The role of multiparametric MRI (mpMRI) in prostate cancer setting is increasingly consolidated and, as a result, its usage in clinical practice is in exponential growth. However, beyond the prostate gland, several key structures are included in the field of view of mpMRI scans. Consequently, various extra-prostatic incidental findings (IFs) belonging to different anatomical systems can be accidentally recognized. Therefore, it is mandatory for a radiologist to be familiar with the wide range of pathologies potentially encountered, to guide management and avoid patient anxiety and costs due to additional work-up prompted by clinically insignificant extra-prostatic findings. With this pictorial review, we aim to illustrate a wide range of IFs that can be detected when performing mpMRI of the prostate, focusing on their imaging characteristics, differential diagnosis, and clinical relevance. Additionally, we propose the CheckDEEP, the Checklist for DEtection of ExtraProstatic findings, to be used for a thorough evaluation of target areas within each anatomical system.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
| | - Irene Campo
- Radiology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Camilla Sachs
- Department of Radiology, Ospedale Ca' Foncello, 31100, Treviso, Italy
| | - Carmelo Sofia
- Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Messina, Italy
| | | | - Riccardo Ciabattoni
- Department of Radiology, Ospedale San Salvatore di Pesaro, Azienda Sanitaria Territoriale Pesaro Urbino, Pesaro, Italy
| | - Doaa E Sharaf
- Department of Radiology, Urology & Nephrology Center, Mansoura University, Mansoura, Egypt
| | | | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
| | - Jeries Zawaideh
- Department of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Giorgio Brembilla
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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12
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Ponsiglione A, Stanzione A, Califano G, De Giorgi M, Collà Ruvolo C, D'Iglio I, Morra S, Longo N, Imbriaco M, Cuocolo R. MR image quality in local staging of prostate cancer: Role of PI-QUAL in the detection of extraprostatic extension. Eur J Radiol 2023; 166:110973. [PMID: 37453275 DOI: 10.1016/j.ejrad.2023.110973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/23/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE To assess the impact of prostate MRI image quality by means of the Prostate Imaging Quality (PI-QUAL) score, on the identification of extraprostatic extension of disease (EPE), predicted using the EPE Grade Score, Likert Scale Score (LSS) and a clinical nomogram (MSKCCn). METHODS We retrospectively included 105 patients with multiparametric prostate MRI prior to prostatectomy. Two radiologists evaluated image quality using PI-QUAL (≥4 was considered high quality) in consensus. All cases were also scored using the EPE Grade, the LSS, and the MSKCCn (dichotomized). Inter-rater reproducibility for each score was also assessed. Accuracy was calculated for the entire population and by image quality, considering two thresholds for EPE Grade (≥2 and = 3) and LSS (≥3 and ≥ 4) and using McNemar's test for comparison. RESULTS Overall, 66 scans achieved high quality. The accuracy of EPE Grade ranged from 0.695 to 0.743, while LSS achieved values between 0.705 and 0.733. Overall sensitivity for the radiological scores (range = 0.235-0.529) was low irrespective of the PI-QUAL score, while specificity was higher (0.775-0.986). The MSKCCn achieved an AUC of 0.76, outperforming EPE Grade (=3 threshold) in studies with suboptimal image quality (0.821 vs 0.564, p = 0.016). EPE Grade (=3 threshold) accuracy was also better in high image quality studies (0.849 vs 0.564, p = 0.001). Reproducibility was good to excellent overall (95 % Confidence Interval range = 0.782-0.924). CONCLUSION Assessing image quality by means of PI-QUAL is helpful in the evaluation of EPE, as a scan of low quality makes its performance drop compared to clinical staging tools.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
| | - Gianluigi Califano
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Claudia Collà Ruvolo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples, Italy
| | - Imma D'Iglio
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Simone Morra
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples, Italy
| | - Nicola Longo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery, and Dentistry, University of Salerno, Baronissi, Italy
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Ponsiglione A, De Giorgi M, Ascione R, Nappi C, Sanduzzi L, Pisani A, Dell'Aversana S, Cuocolo A, Imbriaco M. Advanced CMR Techniques in Anderson-Fabry Disease: State of the Art. Diagnostics (Basel) 2023; 13:2598. [PMID: 37568960 PMCID: PMC10417643 DOI: 10.3390/diagnostics13152598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Anderson-Fabry disease (AFD) is a rare multisystem X-linked lysosomal storage disorder caused by α-galactosidase A enzyme deficiency. Long-term cardiac involvement in AFD results in left ventricular hypertrophy and myocardial fibrosis, inducing several complications, mainly arrhythmias, valvular dysfunction, and coronary artery disease. Cardiac magnetic resonance (CMR) represents the predominant noninvasive imaging modality for the assessment of cardiac involvement in the AFD, being able to comprehensively assess cardiac regional anatomy, ventricular function as well as to provide tissue characterization. This review aims to explore the role of the most advanced CMR techniques, such as myocardial strain, T1 and T2 mapping, perfusion and hybrid imaging, as diagnostic and prognostic biomarkers.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Raffaele Ascione
- Department of Diagnostic Imaging, Pineta Grande Hospital, 81030 Castel Volturno, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Luca Sanduzzi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Antonio Pisani
- Department of Public Health, University of Naples Federico II, 80131 Naples, Italy
| | - Serena Dell'Aversana
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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Di Costanzo G, Ascione R, Ponsiglione A, Tucci AG, Dell’Aversana S, Iasiello F, Cavaglià E. Artificial intelligence and radiomics in magnetic resonance imaging of rectal cancer: a review. Explor Target Antitumor Ther 2023; 4:406-421. [PMID: 37455833 PMCID: PMC10344900 DOI: 10.37349/etat.2023.00142] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/01/2023] [Indexed: 07/18/2023] Open
Abstract
Rectal cancer (RC) is one of the most common tumours worldwide in both males and females, with significant morbidity and mortality rates, and it accounts for approximately one-third of colorectal cancers (CRCs). Magnetic resonance imaging (MRI) has been demonstrated to be accurate in evaluating the tumour location and stage, mucin content, invasion depth, lymph node (LN) metastasis, extramural vascular invasion (EMVI), and involvement of the mesorectal fascia (MRF). However, these features alone remain insufficient to precisely guide treatment decisions. Therefore, new imaging biomarkers are necessary to define tumour characteristics for staging and restaging patients with RC. During the last decades, RC evaluation via MRI-based radiomics and artificial intelligence (AI) tools has been a research hotspot. The aim of this review was to summarise the achievement of MRI-based radiomics and AI for the evaluation of staging, response to therapy, genotyping, prediction of high-risk factors, and prognosis in the field of RC. Moreover, future challenges and limitations of these tools that need to be solved to favour the transition from academic research to the clinical setting will be discussed.
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Affiliation(s)
- Giuseppe Di Costanzo
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Raffaele Ascione
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Anna Giacoma Tucci
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Serena Dell’Aversana
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Francesca Iasiello
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
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15
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Nappi C, Panico M, Falzarano M, Vallone C, Ponsiglione A, Cutillo P, Zampella E, Petretta M, Cuocolo A. Tracers for Cardiac Imaging: Targeting the Future of Viable Myocardium. Pharmaceutics 2023; 15:pharmaceutics15051532. [PMID: 37242772 DOI: 10.3390/pharmaceutics15051532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/02/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Ischemic heart disease is the leading cause of mortality worldwide. In this context, myocardial viability is defined as the amount of myocardium that, despite contractile dysfunction, maintains metabolic and electrical function, having the potential for functional enhancement upon revascularization. Recent advances have improved methods to detect myocardial viability. The current paper summarizes the pathophysiological basis of the current methods used to detect myocardial viability in light of the advancements in the development of new radiotracers for cardiac imaging.
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Affiliation(s)
- Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Mariarosaria Panico
- Institute of Biostructure and Bioimaging, National Council of Research, 80131 Naples, Italy
| | - Maria Falzarano
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Carlo Vallone
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Paolo Cutillo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Emilia Zampella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Mario Petretta
- IRCCS SYNLAB SDN, Via Gianturco 113, 80131 Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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16
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Stanzione A, Ponsiglione A, Alessandrino F, Brembilla G, Imbriaco M. Beyond diagnosis: is there a role for radiomics in prostate cancer management? Eur Radiol Exp 2023; 7:13. [PMID: 36907973 PMCID: PMC10008761 DOI: 10.1186/s41747-023-00321-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/05/2023] [Indexed: 03/13/2023] Open
Abstract
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative features that are missed by human eye. However, most of PCa radiomics studies have been focused on cancer detection and characterisation. With this narrative review we aimed to provide a synopsis of the recently proposed potential applications of radiomics for PCa with a management-based approach, focusing on primary treatments with curative intent and active surveillance as well as highlighting on recurrent disease after primary treatment. Current evidence is encouraging, with radiomics and artificial intelligence appearing as feasible tools to aid physicians in planning PCa management. However, the lack of external independent datasets for validation and prospectively designed studies casts a shadow on the reliability and generalisability of radiomics models, delaying their translation into clinical practice.Key points• Artificial intelligence solutions have been proposed to streamline prostate cancer radiotherapy planning.• Radiomics models could improve risk assessment for radical prostatectomy patient selection.• Delta-radiomics appears promising for the management of patients under active surveillance.• Radiomics might outperform current nomograms for prostate cancer recurrence risk assessment.• Reproducibility of results, methodological and ethical issues must still be faced before clinical implementation.
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Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
| | | | - Giorgio Brembilla
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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17
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Cannella R, Vernuccio F, Klontzas ME, Ponsiglione A, Petrash E, Ugga L, Pinto dos Santos D, Cuocolo R. Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative. Insights Imaging 2023; 14:21. [PMID: 36720726 PMCID: PMC9889586 DOI: 10.1186/s13244-023-01365-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 12/24/2022] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES To systematically review current research applications of radiomics in patients with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies. METHODS A systematic search was conducted on PubMed/Medline, Web of Science, and Scopus databases to identify original studies assessing radiomics of cholangiocarcinoma on CT and/or MRI. Three readers with different experience levels independently assessed quality of the studies using the radiomics quality score (RQS). Subgroup analyses were performed according to journal type, year of publication, quartile and impact factor (from the Journal Citation Report database), type of cholangiocarcinoma, imaging modality, and number of patients. RESULTS A total of 38 original studies including 6242 patients (median 134 patients) were selected. The median RQS was 9 (corresponding to 25.0% of the total RQS; IQR 1-13) for reader 1, 8 (22.2%, IQR 3-12) for reader 2, and 10 (27.8%; IQR 5-14) for reader 3. The inter-reader agreement was good with an ICC of 0.75 (95% CI 0.62-0.85) for the total RQS. All studies were retrospective and none of them had phantom assessment, imaging at multiple time points, nor performed cost-effectiveness analysis. The RQS was significantly higher in studies published in journals with impact factor > 4 (median 11 vs. 4, p = 0.048 for reader 1) and including more than 100 patients (median 11.5 vs. 0.5, p < 0.001 for reader 1). CONCLUSIONS Quality of radiomics studies on cholangiocarcinoma is insufficient based on the radiomics quality score. Future research should consider prospective studies with a standardized methodology, validation in multi-institutional external cohorts, and open science data.
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Affiliation(s)
- Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy ,grid.10776.370000 0004 1762 5517Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy
| | - Federica Vernuccio
- grid.411474.30000 0004 1760 2630Department of Radiology, University Hospital of Padova, Via Nicolò Giustiniani 2, 35128 Padua, Italy
| | - Michail E. Klontzas
- grid.412481.a0000 0004 0576 5678Department of Medical Imaging, University Hospital of Heraklion, 71110 Voutes, Crete, Greece ,grid.8127.c0000 0004 0576 3437Department of Radiology, School of Medicine, University of Crete, 71003 Heraklion, Crete, Greece ,grid.4834.b0000 0004 0635 685XComputational Biomedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology, Vassilika Vouton, 70013 Crete, Greece
| | - Andrea Ponsiglione
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Ekaterina Petrash
- grid.415738.c0000 0000 9216 2496Radiology Department Research Institute of Children’s Oncology and Hematology, FSBI “National Medical Research Center of Oncology n.a. N.N. Blokhin” of Ministry of Health of RF, Kashirskoye Highway 24, Moscow, Russia ,IRA-Labs, Medical Department, Skolkovo, Bolshoi Boulevard, 30, Building 1, Moscow, Russia
| | - Lorenzo Ugga
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Daniel Pinto dos Santos
- grid.6190.e0000 0000 8580 3777Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany ,grid.411088.40000 0004 0578 8220Department of Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Renato Cuocolo
- grid.11780.3f0000 0004 1937 0335Department of Medicine, Surgery, and Dentistry, University of Salerno, Via Salvador Allende 43, 84081 Baronissi, SA Italy ,grid.4691.a0000 0001 0790 385XAugmented Reality for Health Monitoring Laboratory (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy
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18
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Ponsiglione A, Stanzione A, Spadarella G, Baran A, Cappellini LA, Lipman KG, Van Ooijen P, Cuocolo R. Ovarian imaging radiomics quality score assessment: an EuSoMII radiomics auditing group initiative. Eur Radiol 2023; 33:2239-2247. [PMID: 36303093 PMCID: PMC9935717 DOI: 10.1007/s00330-022-09180-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/26/2022] [Accepted: 09/18/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the methodological rigor of radiomics-based studies using noninvasive imaging in ovarian setting. METHODS Multiple medical literature archives (PubMed, Web of Science, and Scopus) were searched to retrieve original studies focused on computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), or positron emission tomography (PET) radiomics for ovarian disorders' assessment. Two researchers in consensus evaluated each investigation using the radiomics quality score (RQS). Subgroup analyses were performed to assess whether the total RQS varied according to first author category, study aim and topic, imaging modality, and journal quartile. RESULTS From a total of 531 items, 63 investigations were finally included in the analysis. The studies were greatly focused (94%) on the field of oncology, with CT representing the most used imaging technique (41%). Overall, the papers achieved a median total RQS 6 (IQR, -0.5 to 11), corresponding to a percentage of 16.7% of the maximum score (IQR, 0-30.6%). The scoring was low especially due to the lack of prospective design and formal validation of the results. At subgroup analysis, the 4 studies not focused on oncological topic showed significantly lower quality scores than the others. CONCLUSIONS The overall methodological rigor of radiomics studies in the ovarian field is still not ideal, limiting the reproducibility of results and potential translation to clinical setting. More efforts towards a standardized methodology in the workflow are needed to allow radiomics to become a viable tool for clinical decision-making. KEY POINTS • The 63 included studies using noninvasive imaging for ovarian applications were mostly focused on oncologic topic (94%). • The included investigations achieved a median total RQS 6 (IQR, -0.5 to 11), indicating poor methodological rigor. • The RQS was low especially due to the lack of prospective design and formal validation of the results.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
| | - Gaia Spadarella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Agah Baran
- Department of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany
| | | | - Kevin Groot Lipman
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Peter Van Ooijen
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands
- Machine Learning Lab, Data Science Center in Health, University Medical Center Groningen, Groningen, the Netherlands
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
- Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy
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19
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Viceconte G, Ponsiglione A, Buonomo AR, Camera L, Scotto R, De Giorgi M, Pinto L, Pinchera B, Villari R, Foggia M, Gerundo G, Abete P, Brunetti A, Gentile I. COVID-19 chest CT and laboratory features of B.1.617.2 (Delta variant) vs B.1.1.7 (Alpha variant) surge: a single center case-control study. Infez Med 2022; 30:555-562. [PMID: 36482955 PMCID: PMC9714998 DOI: 10.53854/liim-3004-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/13/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE To assess clinical, laboratory and radiological differences between Delta and Alpha SARS-CoV-2 variants. MATERIALS AND METHODS Twenty SARS-CoV-2 patients admitted from 30th of August to 30th of October 2021 (period with estimated highest prevalence of Delta variant circulation in Italy) were enrolled. Patients were matched in a 1:1 ratio with same gender and same age +/- 2 years controls admitted from 1st of September 2020 to 30th of January 2021 (predominant circulation of Alpha variant). Chest computed tomography (CT) were retrospectively evaluated. Main clinical parameters, radiological and laboratory findings were compared between two groups. RESULTS Patients with probable Delta variant had significantly higher CT severity scores, lower PaO2/FiO2 ratio and higher C-reactive protein and lactate dehydrogenase levels at admission. On multivariate analysis, probable Delta variant infection was associated with higher CT severity score. Ground glass opacities and crazy paving patterns were more frequently noticed than consolidation, with the latter being more frequent in Delta cohort, even though not significantly. According to prevalent imaging pattern, the consolidation one was significantly associated with pregnancy (p=0.008). CONCLUSIONS Patients admitted during predominance of Delta variant circulation had a more severe lung involvement compared to patients in infected when Alpha variant was predominant. Despite imaging pattern seems to be not influenced by viral variant and other clinical variables, the consolidative pattern was observed more frequently in pregnancy.
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Affiliation(s)
- Giulio Viceconte
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | | | - Luigi Camera
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Riccardo Scotto
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Lorenzo Pinto
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Biagio Pinchera
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Riccardo Villari
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Maria Foggia
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Gerardo Gerundo
- Department of Translational Medical Sciences, University of Naples Federico II, Naples,
Italy
| | - Pasquale Abete
- Department of Translational Medical Sciences, University of Naples Federico II, Naples,
Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Ivan Gentile
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
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20
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Dell’Aversana S, Ascione R, De Giorgi M, De Lucia DR, Cuocolo R, Boccalatte M, Sibilio G, Napolitano G, Muscogiuri G, Sironi S, Di Costanzo G, Cavaglià E, Imbriaco M, Ponsiglione A. Dual-Energy CT of the Heart: A Review. J Imaging 2022; 8:jimaging8090236. [PMID: 36135402 PMCID: PMC9503750 DOI: 10.3390/jimaging8090236] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/09/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
Dual-energy computed tomography (DECT) represents an emerging imaging technique which consists of the acquisition of two separate datasets utilizing two different X-ray spectra energies. Several cardiac DECT applications have been assessed, such as virtual monoenergetic images, virtual non-contrast reconstructions, and iodine myocardial perfusion maps, which are demonstrated to improve diagnostic accuracy and image quality while reducing both radiation and contrast media administration. This review will summarize the technical basis of DECT and review the principal cardiac applications currently adopted in clinical practice, exploring possible future applications.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
- Correspondence:
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Davide Raffaele De Lucia
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
| | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | | | - Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Sandro Sironi
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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21
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Nappi C, Ponsiglione A, Falzarano M, Imbriaco M, Klain M, Cuocolo A. Insights into Myocardial Perfusion PET Imaging: the Coronary Flow Capacity. Curr Cardiovasc Imaging Rep 2022. [DOI: 10.1007/s12410-022-09568-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Abstract
Purpose of Review
The present work summarizes the clinical relevance of coronary flow capacity (CFC) with an eye on future perspectives.
Recent findings
CFC concept has been recently introduced providing a comprehensive framework for coronary physiology evaluation.
Summary
It has been widely demonstrated that coronary artery disease (CAD) is a complex disease with a multifactorial etiology resulting from different pathogenic mechanisms. Cardiac positron emission tomography (PET) currently represents the gold standard for CAD assessment, providing absolute myocardial perfusion data including coronary flow reserve (CFR), calculated as the ratio of hyperemic to rest absolute myocardial blood flows. CFC can be obtained from dynamic PET images by plotting the primary stress perfusion data and CFR values for each pixel on a graph of predefined exact ranges. The routine evaluation of this parameter may add diagnostic and prognostic value to clinical and conventional imaging data.
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22
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Ponsiglione A, Gambardella M, Green R, Cantoni V, Nappi C, Ascione R, De Giorgi M, Cuocolo R, Pisani A, Petretta M, Cuocolo A, Imbriaco M. Cardiovascular magnetic resonance native T1 mapping in Anderson-Fabry disease: a systematic review and meta-analysis. J Cardiovasc Magn Reson 2022; 24:31. [PMID: 35606874 PMCID: PMC9125845 DOI: 10.1186/s12968-022-00859-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/24/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND T1 mapping is an established cardiovascular magnetic resonance (CMR) technique that can characterize myocardial tissue. We aimed to determine the weighted mean native T1 values of Anderson-Fabry disease (AFD) patients and the standardized mean differences (SMD) as compared to healthy control subjects. METHODS A comprehensive literature search of the PubMed, Scopus and Web of Science databases was conducted according to the PRISMA statement to retrieve original studies reporting myocardial native T1 values in AFD patients and healthy controls. A random effects model was used to calculate SMD, and meta-regression analysis was conducted to explore heterogeneity sources. Subgroup analysis was also performed according to scanner field strength and sequence type. RESULTS From a total of 151 items, 14 articles were included in the final analysis accounting for a total population of 982 subjects. Overall, the weighted mean native T1 values was 984 ± 47 ms in AFD patients and 1016 ± 26 ms in controls (P < 0.0001) with a pooled SMD of - 2.38. In AFD patients there was an inverse correlation between native T1 values and male gender (P = 0.002) and left ventricular hypertrophy (LVH) (P < 0.001). Subgroup analyses confirmed lower T1 values in AFD patients compared to controls with a pooled SMD of - 2.54, - 2.28, - 2.46 for studies performed on 1.5T with modified Look-Locker inversion recovery (MOLLI), shortened MOLLI and saturation-recovery single-shot acquisition, respectively and of - 2.41 for studies conducted on 3T. CONCLUSIONS Our findings confirm a reduction of native T1 values in AFD patients compared to healthy controls and point out that the degree of T1 shortening in AFD is influenced by gender and LVH. Although T1 mapping is useful in proving cardiac involvement in AFD patients, there is need to standardize shreshold values according to imaging equipment and protocols.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy.
| | - Michele Gambardella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Roberta Green
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Valeria Cantoni
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Renato Cuocolo
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
- Interdepartmental Research Center on Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, Naples, Italy
| | - Antonio Pisani
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | | | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
- Interdepartmental Research Center on Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
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23
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Nappi C, Ponsiglione A, Imbriaco M, Cuocolo A. 18F-FDG PET/CMR in cardiac sarcoidosis: A wild card in the deck? J Nucl Cardiol 2022; 29:765-767. [PMID: 33145740 DOI: 10.1007/s12350-020-02427-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 10/19/2020] [Indexed: 01/22/2023]
Affiliation(s)
- Carmela Nappi
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
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24
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Ponsiglione A, Stanzione A, Cuocolo R, Ascione R, Gambardella M, De Giorgi M, Nappi C, Cuocolo A, Imbriaco M. Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment. Eur Radiol 2022; 32:2629-2638. [PMID: 34812912 DOI: 10.1007/s00330-021-08375-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/06/2021] [Accepted: 09/30/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To systematically review and evaluate the methodological quality of studies using magnetic resonance imaging (MRI) and computed tomography (CT) radiomics for cardiac applications. METHODS Multiple medical literature archives (PubMed, Web of Science, and EMBASE) were systematically searched to retrieve original studies focused on cardiac MRI and CT radiomics applications. Two researchers in consensus assessed each investigation using the radiomics quality score (RQS). Subgroup analyses were performed to assess whether the total RQS varied according to study aim, journal quartile, imaging modality, and first author category. RESULTS From a total of 1961 items, 53 articles were finally included in the analysis. Overall, the studies reached a median total RQS of 7 (IQR, 4-12), corresponding to a percentage score of 19.4% (IQR, 11.1-33.3%). Item scores were particularly low due to lack of prospective design, cost-effectiveness analysis, and open science. Median RQS percentage score was significantly higher in papers where the first author was a medical doctor and in those published on first quartile journals. CONCLUSIONS The overall methodological quality of radiomics studies in cardiac MRI and CT is still lacking. A higher degree of standardization of the radiomics workflow and higher publication standards for studies are required to allow its translation into clinical practice. KEY POINTS • RQS has been recently proposed for the overall assessment of the methodological quality of radiomics-based studies. • The 53 included studies on cardiac MRI and CT radiomics applications reached a median total RQS of 7 (IQR, 4-12), corresponding to a percentage of 19.4% (IQR, 11.1-33.3%). • A more standardized methodology in the radiomics workflow is needed, especially in terms of study design, validation, and open science, in order to translate the results to clinical applications.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Renato Cuocolo
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy.
- Interdepartmental Research Center on Management and Innovation in Healthcare - CIRMIS, University of Naples Federico II, Naples, Italy.
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Michele Gambardella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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25
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Verde F, Ponsiglione A. Role of perfusion features in contrast-enhanced ultrasound differential diagnosis of hepatocellular adenoma and carcinoma: Far beyond the gray-scale ultrasound. J Clin Ultrasound 2022; 50:222-223. [PMID: 35147999 DOI: 10.1002/jcu.23140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Affiliation(s)
- Francesco Verde
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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26
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Verde F, Ponsiglione A. Untangling the ultrasound conundrum of microcalcifications in papillary thyroid cancer. J Clin Ultrasound 2022; 50:58-59. [PMID: 35043442 DOI: 10.1002/jcu.23105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 11/28/2021] [Indexed: 06/14/2023]
Affiliation(s)
- Francesco Verde
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
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27
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Franca RA, Crocetto F, Pandolfo SD, Ponsiglione A, Franzese CA, Imbriaco M, Imbimbo C, Insabato L. Cystadenoma of the seminal vesicle – Potential diagnostic pitfall: A case report and literature review. Journal of Clinical Urology 2021. [DOI: 10.1177/20514158211059059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Cystadenomas of the seminal vesicles are benign cystic tumours, currently classified into the group of mixed epithelial-stromal tumours (MEST). Primary tumours arising in the seminal vesicles are quite rare, benign tumours being rarer than malignant ones, with only a few cases reported in the English literature since 1944. Cystadenomas represent a potential diagnostic pitfall, as they can be clinically confused with malignant neoplasms and histologically with non-neoplastic inflammatory lesions or other cystic tumours, even malignant. Objective and methods: We report a case of a 23-year-old man presenting with a cystic mass of the seminal vesicle, clinically suspected to be a malignant neoplasm. On pathological examination, a diagnosis of cystadenoma was made. Diagnostic criteria to make a diagnosis of this tumour are questionable. Therefore, we carried out a literature review in attempt to compare clinico-pathological findings of 28 cases reported in the English literature as cystadenomas of the seminal vesicle. Results: Only 28 cases of cystadenomas of seminal vesicles were reported in the English literature. The available data show the difficulty to rule out malignancy preoperatively in a patient with a solid-cystic mass in the pelvic region, and that morphological findings observed were often reported incompletely. Conclusions: The current classification appears debatable, as well as histopathological criteria to diagnose a cystadenoma of the seminal vesicle. For the proper management of these lesions, a multidisciplinary approach is mandatory. Level of evidence: Not applicable
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Affiliation(s)
- Raduan Ahmed Franca
- Department of Advanced Biomedical Sciences, University of Naples ‘Federico II’, Italy
| | - Felice Crocetto
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples ‘Federico II’, Italy
| | - Savio Domenico Pandolfo
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples ‘Federico II’, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples ‘Federico II’, Italy
| | | | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples ‘Federico II’, Italy
| | - Ciro Imbimbo
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples ‘Federico II’, Italy
| | - Luigi Insabato
- Department of Advanced Biomedical Sciences, University of Naples ‘Federico II’, Italy
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Camera L, Dell'Aversano-Orabona G, Gambardella M, Riccitiello F, Galatola R, Liuzzi R, Longobardi M, Danzi R, Ponsiglione A, Stanzione A, Maurea S, Brunetti A. Tailored versus fixed scan delay in contrast-enhanced abdominal multi-detector CT: An intra-patient comparison of image quality. Eur J Radiol 2021; 143:109914. [PMID: 34509881 DOI: 10.1016/j.ejrad.2021.109914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/21/2021] [Accepted: 08/12/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE To perform anintra-patient comparison betweena single-pass protocol (SP) and a portal venous phase (PVP) by means ofboth quantitative and qualitative analysis of image quality. METHODS Forty patients (31 M; 9F; aged 20-77 years; BMI 23 ± 4 Kg/m2) underwent both a SP and a PVP using a 64-rows multi-detector CT with a median interval time of 56 days (range5-903). All patients underwent i.v. bolus injection (2.0 cc/sec) of 1.7 cc/Kg of a non ionic iodinated contrast-media (370 mgI/ml) with scan delays of 67 ± 8 and 90 s for the SP and the PVP, respectively. Signal- (SNR) and contrast-to-noise ratios (CNR) were calculated for most visceral organs and for both abdominal aorta (AA) and main portal vein (MPV). For qualitative analysis, reproduction of abdominal viscera and vascular structures was blindly evaluated and inter-observer agreement calculated by the weighted Cohen k-analysis. RESULTS Attenuation values (H.U.) of AA (232 ± 53vs180 ± 36) and MPV (215 ± 39vs187 ± 42) were significantly (p < 0.001) higher in the SP than in PVP, respectively. At qualitative analysis, reproduction of mostabdominal viscerawas also significantly sharper (p < 0.001) with the SP than the PVPwith inter-observer agreement scores (k)ranging from 0.60 to 0.88 for all but one imaging criteria. CONCLUSIONS As the SP resulted in a significantly higher vascular enhancement and in a sharper reproduction of most abdominal viscera, it may be better suited than a PVP for the CT evaluation of non traumatic acute abdomen.
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Affiliation(s)
- Luigi Camera
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1).
| | | | - Michele Gambardella
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | | | - Roberta Galatola
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | - Raffaele Liuzzi
- Institute of Biostructures and Bioimaging (National Research Council), (https://www.cnr.it/en/institute/017), University "Federico II", Naples, Italy(2)
| | - Margaret Longobardi
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | - Roberta Danzi
- Ospedale S. Maria delle Grazie, Pozzuoli, NA, Italy(3)
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | - Simone Maurea
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences - Section of Diagnostic Imaging, University "Federico II", Naples, Italy(1)
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Nappi C, Ponsiglione A, Pisani A, Riccio E, Di Risi T, Pieroni M, Klain M, Assante R, Acampa W, Nicolai E, Spinelli L, Cuocolo A, Imbriaco M. Role of serial cardiac 18F-FDG PET-MRI in Anderson-Fabry disease: a pilot study. Insights Imaging 2021; 12:124. [PMID: 34487259 PMCID: PMC8421465 DOI: 10.1186/s13244-021-01067-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 08/07/2021] [Indexed: 11/10/2022] Open
Abstract
Aim We investigated the value of serial cardiac 18F-FDG PET-MRI in Anderson–Fabry disease (AFD) and the potential relationship of imaging results with FASTEX score. Methods and results Thirteen AFD patients underwent cardiac 18F-FDG PET-MRI at baseline and follow-up. Coefficient of variation (COV) of FDG uptake and FASTEX score were assessed. At baseline, 9 patients were enzyme replacement therapy (ERT) naïve and 4 patients were under treatment. Two patients presented a FASTEX score of 0 indicating stable disease and did not show any imaging abnormality at baseline and follow-up PET-MRI. Eleven patients had a FASTEX score > 20% indicating disease worsening. Four of these patients without late gadolinium enhancement (LGE) and with normal COV at baseline and follow-up had a FASTEX score of 35%. Three patients without LGE and with abnormal COV at baseline and follow-up had a FASTEX score ranging from 30 to 70%. Three patients with LGE and abnormal COV at baseline and follow-up had a FASTEX score between 35 and 75%. Finally, one patient with LGE and normal COV had a FASTEX score of 100%. Of the 12 patients on ERT at follow-up, FASTEX score was significantly higher in those 4 showing irreversible cardiac injury at baseline compared to 8 with negative LGE (66 ± 24 vs. 32 ± 21, p = 0.03). Conclusion 18F-FDG PET-MRI may be effective to monitor cardiac involvement in AFD.
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Affiliation(s)
- Carmela Nappi
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Antonio Pisani
- Department of Public Health, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Eleonora Riccio
- Department of Public Health, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Teodolinda Di Risi
- Department of Public Health, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Maurizio Pieroni
- Cardiovascular Department, San Donato Hospital, Via Pietro Nenni 22, 52100, Arezzo, Italy
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Roberta Assante
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Wanda Acampa
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | | | - Letizia Spinelli
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
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Stanzione A, Ponsiglione A, Di Fiore GA, Picchi SG, Di Stasi M, Verde F, Petretta M, Imbriaco M, Cuocolo R. Prostate Volume Estimation on MRI: Accuracy and Effects of Ellipsoid and Bullet-Shaped Measurements on PSA Density. Acad Radiol 2021; 28:e219-e226. [PMID: 32553281 DOI: 10.1016/j.acra.2020.05.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/13/2020] [Accepted: 05/14/2020] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES PSA density (PSAd), an important decision-making parameter for patients with suspected prostate cancer (PCa), is dependent on magnetic resonance imaging prostate volume (PV) estimation. We aimed to compare the accuracy of the ellipsoid and bullet-shaped formulas with manual whole-gland segmentation as reference standard and to evaluate the corresponding PSAd diagnostic accuracy in predicting clinically significant PCa. MATERIALS AND METHODS We retrospectively analysed 195 patients with suspected PCa who underwent magnetic resonance imaging and prostate biopsy. Patients with PCa were categorized according to ISUP score. PV and corresponding PSAd were calculated with manual segmentation (mPV and mPSAd) as well as with ellipsoid (ePV and ePSAd) and bullet-shaped (bPV and bPSAd) formulas. Inter and intra-reader reproducibility were assessed with Lin's concordance correlation coefficient and the intraclass correlation coefficient (ICC). A 2-way analysis of variance with post-hoc Bonferroni test was used for assessing PV differences. Predictive values of PSAd calculated with different methods for detecting clinically significant PCa were evaluated by receiver operating characteristic curve analysis and Youden's index. RESULTS Both intra (ρ = 0.99, ICC = 0.99) and inter-reader (ρ = 0.98, ICC = 0.98) reproducibility were excellent. No significant difference was found between ePV and reference standard (p = 1.00). bPV was significantly different from both (p = 0.00). PSAd (mPSAd/ePSAd cut-off ≥ 0.15, bPSAd cut-off ≥ 0.12) had sensitivity = 69-70%, specificity = 72-75%, areas under the curve = 0.757-0.760 (p = 0.70-0.88). CONCLUSIONS Our work shows that when using bullet-shaped formula, a different PSAd cut-off must be considered to avoid PCa under-diagnosis and inaccurate risk-stratification.
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Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
| | | | - Stefano Giusto Picchi
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Martina Di Stasi
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Francesco Verde
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Mario Petretta
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Renato Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
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31
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Nappi C, Petretta M, Cantoni V, Green R, Assante R, Zampella E, Gaudieri V, Mannarino T, D"antonio A, Manganelli M, Piscopo L, Ponsiglione A, Acampa W, Cuocolo A. Prognostic value of heart rate reserve in patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeab111.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background. The prognostic value of stress myocardial perfusion single-photon emission computed tomography (MPS) has been widely demonstrated. Also, chronotropic incompetence, evaluated by heart rate reserve (HRR) is associated with increased risk of adverse events. Yet, the incremental prognostic value of HRR over stress MPS data has not been fully investigated.
Purpose. To assess the incremental prognostic value of HRR over stress MPS finding in patients with suspected coronary artery disease (CAD) undergoing exercise stress MPS.
Methods. The study population consisted of 866 consecutive patients with suspected CAD undergoing exercise stress-MPS at University of Naples Federico II, between May 2002 and January 2014 as part of their diagnostic program. The primary study endpoint was all-cause mortality. All patients were followed for at least 60 months. HRR was calculated as the difference between peak exercise and resting HR, divided by the difference of age-predicted maximal and resting HR and expressed as percent. The summed difference score (SDS) was considered an index of ischemic burden. Patients were considered to have mild ischemia with a SDS of 2 to 6, and moderate-severe ischemia with a SDS ≥6. During follow-up, the occurrence of all-cause of deaths was noted and considered as event. Follow-up was censored at 84 months.
Results. During follow-up, 61 deaths occurred, with a 7% cumulative event rate. Patients experiencing death were older (56.2 ± 10.7 years vs. 66.4 ± 8.6 years), with a higher prevalence of male gender (56% vs. 87 %, P < 0.05) and diabetes mellitus (23% vs. 36%, P < 0.05). At stress-MPS, patients with event had lower mean values of HRR (53.2 ± 21.3% vs. 61.5 ± 16.4%, P < 0.0001) and higher prevalence of moderate-severe ischemia (24% vs. 8%, P < 0.0001). The best trade-off between sensitivity and specificity for identifying chronotropic incompetence was a HRR <67% with an area under the receiver operating characteristic curve of 0.62. The event free survival was lower in patients with HRR <67% compared to those with HRR ≥67% (log-rank 9.75, P < 0.005). Accordingly, the annualized event rate was 0.006 in patients with HRR <67% and 0.014 in those with HRR ≥67% (P < 0.001). At Cox regression analysis, univariable predictors of all-cause mortality were age, male gender, diabetes mellitus, HRR and moderate-severe ischemia (all P < 0.05). At multivariable analysis age, male gender, HRR and moderate-severe ischemia were independent predictors of all-cause mortality (all P < 0.05). HRR improved the prognostic power of a model including clinical data and MPS findings for the prediction of all-cause mortality, increasing the global chi-square from 76.16 to 82.68 (P < 0.005).
Conclusion. Chronotropic incompetence assessed by HRR evaluation, has independent and incremental prognostic value in predicting all cause of death in patients with suspected CAD undergoing exercise stress-MPS.
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Affiliation(s)
- C Nappi
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | | | - V Cantoni
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - R Green
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - R Assante
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - E Zampella
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - V Gaudieri
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - T Mannarino
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - A D"antonio
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - M Manganelli
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - L Piscopo
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - A Ponsiglione
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - W Acampa
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
| | - A Cuocolo
- Federico II University Hospital, Advanced Biomedical Sciences, Naples, Italy
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Maddalena C, Ponsiglione A, Camera L, Santarpia L, Pasanisi F, Bruzzese D, Panico C, Fiore G, Camardella S, Caramia T, Farinaro A, De Placido S, Carlomagno C. Prognostic role of sarcopenia in metastatic colorectal cancer patients during first-line chemotherapy: A retrospective study. World J Clin Oncol 2021; 12:355-366. [PMID: 34131567 PMCID: PMC8173330 DOI: 10.5306/wjco.v12.i5.355] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 01/31/2021] [Accepted: 03/18/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Sarcopenia is a condition characterized by decreased skeletal muscle mass due to physiological ageing or to a concomitant disease such as neoplasia. In cancer patients, a low lean body mass is suggested to be a negative prognostic factor for survival and for the development of dose-limiting chemotherapy toxicities irrespective of disease stage.
AIM To evaluate the prognostic role of sarcopenia in patients with metastatic colorectal cancer (mCRC) undergoing first-line chemotherapy.
METHODS Our retrospective analysis included 56 mCRC patients who received first-line chemotherapy from 2014 to 2017 at the Medical Oncology Unit of our hospital. Computerized scans were performed before starting chemotherapy and at the first disease reassessment. Sarcopenia was assessed using the skeletal mass index = muscle area in cm2/(height in m2) calculated at the L3 vertebra. Overall survival and objective response rate were evaluated. Toxicities were analyzed during the first four cycles of therapy and graded according to Common Terminology Criteria for Adverse Events version 4.0. A loss of skeletal muscle mass ≥ 5% was considered indicative of deterioration in muscle condition.
RESULTS Median age was 67 years and 35.7% of patients were ≥ 70 years old. Fourteen patients (25%) were sarcopenic at baseline computed tomography (CT) scan (7/33 men; 7/23 women); 5/14 sarcopenic patients were ≥ 70 years old. Median follow-up was 26.8 mo (3.8-66.8 mo) and median overall survival was 27.2 mo (95%CI: 23.3-37.3). Sarcopenia was not correlated to overall survival (P = 0.362), to higher toxicities reported during the first 4 cycles of chemotherapy (P = 1.0) or to response to treatment (P = 0.221). At the first disease reassessment, a skeletal muscle loss (SML) ≥ 5% was found in 17 patients (30.3%) 3 of whom were already sarcopenic at baseline CT scan, while 7 patients became sarcopenic. SML was not correlated to overall survival (P = 0.961). No statistically significant correlation was found between baseline sarcopenia and age (P = 1.0), body mass index (P = 0.728), stage at diagnosis (P = 0.355) or neutrophil/lymphocyte ratio (P = 0.751).
CONCLUSION Neither baseline sarcopenia nor SML affected survival. In addition, baseline sarcopenia was not related to worse treatment toxicity. However, these results must be interpreted with caution due to the limited sample size.
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Affiliation(s)
- Chiara Maddalena
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples 80131, Italy
| | - Luigi Camera
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples 80131, Italy
| | - Lidia Santarpia
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Fabrizio Pasanisi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Dario Bruzzese
- Department of Public Health, University of Naples Federico II, Naples 80131, Italy
| | - Camilla Panico
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples 80131, Italy
| | - Giovanni Fiore
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Simona Camardella
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Tolomeo Caramia
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Alessia Farinaro
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Sabino De Placido
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
| | - Chiara Carlomagno
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy
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Ponsiglione A, Stanzione A, Imbriaco M. Letter to the Editor regarding "Prostate cancer local staging using biparametric MRI: Assessment and comparison with multiparametric MRI". Eur J Radiol 2021; 139:109721. [PMID: 33866121 DOI: 10.1016/j.ejrad.2021.109721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Italy.
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Italy
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Imbriaco M, Ponsiglione A. Predicting Pathologic Complete Response after Neoadjuvant Chemotherapy. Radiology 2021; 299:301-302. [PMID: 33759580 DOI: 10.1148/radiol.2021210138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Massimo Imbriaco
- From the Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Andrea Ponsiglione
- From the Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
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Ascione R, Crocetto F, Ponsiglione A, Pandolfo SD, Gencarelli A, Insabato L, Imbriaco M, Imbimbo C. A Rare Case of Solitary Fibrous Tumour of the Pelvis in an 18-Year-Old Young Man: CT and MRI Features with Pathologic Correlations. Res Rep Urol 2020; 12:687-690. [PMID: 33403203 PMCID: PMC7778436 DOI: 10.2147/rru.s284777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/16/2020] [Indexed: 11/23/2022] Open
Abstract
Solitary fibrous tumors (SFTs) are mesenchymal neoplasms of fibroblastic origin, even if commonly seen in the pleura, they can occur anywhere in the body. SFT presents as a slow growing, often asymptomatic mass, generally affecting middle-aged adults regardless of the sex. We report a rare case of an 18-year-old man referred to our institution to perform computed tomography (CT) and magnetic resonance imaging (MRI), to investigate a pelvic mass incidentally discovered at abdominal ultrasound examination. A well circumscribed, heterogenous and hypervascular lesion was described at imaging, with absence of calcifications, hemorrhage, necrosis nor cystic degeneration. The mass removal was performed via the Da Vinci-assisted robotic surgery. Histopathological evaluation confirmed the diagnosis of SFT. CT and MRI can aid the identification of SFT, providing useful information which needs to be supported by histopathological analysis.
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Affiliation(s)
- Raffaele Ascione
- Department of Advanced Biomedical Science, University "Federico II", Naples, Italy
| | - Felice Crocetto
- Department of Neurosciences, Human Reproduction and Odontostomatology, University "Federico II", Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Science, University "Federico II", Naples, Italy
| | - Savio Domenico Pandolfo
- Department of Neurosciences, Human Reproduction and Odontostomatology, University "Federico II", Naples, Italy
| | - Annarita Gencarelli
- Department of Advanced Biomedical Science, University "Federico II", Naples, Italy
| | - Luigi Insabato
- Department of Advanced Biomedical Science, University "Federico II", Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Science, University "Federico II", Naples, Italy
| | - Ciro Imbimbo
- Department of Neurosciences, Human Reproduction and Odontostomatology, University "Federico II", Naples, Italy
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36
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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 2020; 8:100319. [PMID: 33392363 PMCID: PMC7764388 DOI: 10.1016/j.ejro.2020.100319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/21/2020] [Accepted: 12/21/2020] [Indexed: 12/30/2022] Open
Abstract
Purpose We aimed to assess the impact of COVID-19 pandemic on cardiac magnetic resonance (CMR) imaging studies performed during the lockdown imposed by the Italian Government from March 2020 to May 2020. Materials and method We reviewed the number and the findings of CMR scans performed during the COVID-19 pandemic between March and May 2020 at University of Naples Federico II. The number and the findings of CMR studies acquired in the corresponding months of 2017, 2018 and 2019 were also assessed for direct comparison. Results A total of 117 CMR studies was considered, including the procedures performed during the pandemic (n = 18) and those performed in the corresponding months of the prior 3 years (n = 99). The number of CMR studies performed during the COVID-19 pandemic was significantly (P < .01) lower compared to the mean number (n = 33) of the procedures performed in the corresponding months of 2017-2019. The percentage of abnormal CMR studies was similar (P = 0.73) during the pandemic (67 %) compared to that found in the corresponding months of 2017-2019 (70 %) suggesting that many abnormal tests were missed due to the lockdown. Conclusion The number of CMR studies was significantly reduced during the COVID-19 pandemic compared to the corresponding period of the previous three years. The lack of difference in the prevalence of abnormal CMR studies between the two study time intervals strongly suggests that many patients with potentially abnormal imaging test have been missed during the pandemic.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Rosario Megna
- Institute of Biostructure and Bioimaging, National Council of Research, Via De Amicis 95, 80145, Naples, Italy
| | - Mario Petretta
- Department of Translational Medical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
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Imbriaco M, Nappi C, Ponsiglione A, Pisani A, Dell'Aversana S, Nicolai E, Spinelli L, Aiello M, Diomiaiuti CT, Riccio E, Esposito R, Galderisi M, Losi M, Greiser A, Chow K, Cuocolo A. Hybrid positron emission tomography-magnetic resonance imaging for assessing different stages of cardiac impairment in patients with Anderson-Fabry disease: AFFINITY study group. Eur Heart J Cardiovasc Imaging 2020; 20:1004-1011. [PMID: 30879055 DOI: 10.1093/ehjci/jez039] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 02/07/2019] [Accepted: 02/25/2019] [Indexed: 12/30/2022] Open
Abstract
AIMS Anderson-Fabry disease (AFD) is an X-linked lysosomal storage disorder associated with multi-organ dysfunction. While native myocardial T1 mapping by magnetic resonance (MR) allow non-invasive measurement of myocyte sphingolipid accumulation, 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and MR are able to identify different pathological patterns of disease progression. We investigated the relationship between T1 mapping and 18F-FDG uptake by hybrid PET-MR cardiac imaging in AFD female patients. METHODS AND RESULTS Twenty AFD females without cardiac symptoms underwent cardiac PET-MR using 18F-FDG for glucose uptake. In all patients and in seven age- and sex-matched control subjects, T1 mapping was performed using native T1 Modified Look-Locker Inversion-recovery prototype sequences. 18F-FDG myocardial uptake was quantified by measuring the coefficient of variation (COV) of the standardized uptake value using a 17-segment model. T1 values of AFD patients were lower compared with control subjects (1236 ± 49 ms vs. 1334 ± 27 ms, P < 0.0001). Focal 18F-FDG uptake with COV >0.17 was detected in seven patients. COV was 0.32 ± 0.1 in patients with focal 18F-FDG uptake and 0.12 ± 0.04 in those without (P < 0.001). Patients with COV >0.17 had higher T1 values of lateral segments of the mid ventricular wall, compared with those with COV ≤0.17 (1216 ± 22 ms vs. 1160 ± 59 ms, P < 0.05). CONCLUSION In females with AFD, focal 18F-FDG uptake with a trend towards a pseudo-normalization of abnormal T1 mapping values, may represent an intermediate stage before the development of myocardial fibrosis. These findings suggest a potential relationship between progressive myocyte sphingolipid accumulation and inflammation.
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Affiliation(s)
- Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Antonio Pisani
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Serena Dell'Aversana
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | | | - Letizia Spinelli
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | | | | | - Eleonora Riccio
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Roberta Esposito
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Maurizio Galderisi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Mariangela Losi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
| | | | - Kelvin Chow
- Siemens Healthcare MR Collaborations, Chicago, IL, USA
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
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Stanzione A, Gambardella M, Cuocolo R, Ponsiglione A, Romeo V, Imbriaco M. Erratum to "Prostate MRI radiomics: A systematic review and radiomic quality score assessment" [Eur. J. Radiol. 129 (2020) 109095]. Eur J Radiol 2020; 131:109208. [PMID: 32819762 DOI: 10.1016/j.ejrad.2020.109208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Michele Gambardella
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Renato Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
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Maddalena C, Ponsiglione A, Camera L, Santarpia L, Pasanisi F, Bruzzese D, Panico C, Fiore G, Camardella S, Caramia T, Farinaro A, Placido SD, Carlomagno C. P-272 Sarcopenia in metastatic colorectal cancer patients during first-line chemotherapy. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.04.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Cuocolo R, Cipullo MB, Stanzione A, Romeo V, Green R, Cantoni V, Ponsiglione A, Ugga L, Imbriaco M. Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis. Eur Radiol 2020; 30:6877-6887. [PMID: 32607629 DOI: 10.1007/s00330-020-07027-w] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/08/2020] [Accepted: 06/10/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The aim of this study was to systematically review the literature and perform a meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically significant prostate cancer (csPCa) identification on MRI. METHODS Multiple medical databases were systematically searched for studies on ML applications in csPCa identification up to July 31, 2019. Two reviewers screened all papers independently for eligibility. The area under the receiver operating characteristic curves (AUC) was pooled to quantify predictive accuracy. A random-effects model estimated overall effect size while statistical heterogeneity was assessed with the I2 value. A funnel plot was used to investigate publication bias. Subgroup analyses were performed based on reference standard (biopsy or radical prostatectomy) and ML type (deep and non-deep). RESULTS After the final revision, 12 studies were included in the analysis. Statistical heterogeneity was high both in overall and in subgroup analyses. The overall pooled AUC for ML in csPCa identification was 0.86, with 0.81-0.91 95% confidence intervals (95%CI). The biopsy subgroup (n = 9) had a pooled AUC of 0.85 (95%CI = 0.79-0.91) while the radical prostatectomy one (n = 3) of 0.88 (95%CI = 0.76-0.99). Deep learning ML (n = 4) had a 0.78 AUC (95%CI = 0.69-0.86) while the remaining 8 had AUC = 0.90 (95%CI = 0.85-0.94). CONCLUSIONS ML pipelines using prostate MRI to identify csPCa showed good accuracy and should be further investigated, possibly with better standardisation in design and reporting of results. KEY POINTS • Overall pooled AUC was 0.86 with 0.81-0.91 95% confidence intervals. • In the reference standard subgroup analysis, algorithm accuracy was similar with pooled AUCs of 0.85 (0.79-0.91 95% confidence intervals) and 0.88 (0.76-0.99 95% confidence intervals) for studies employing biopsies and radical prostatectomy, respectively. • Deep learning pipelines performed worse (AUC = 0.78, 0.69-0.86 95% confidence intervals) than other approaches (AUC = 0.90, 0.85-0.94 95% confidence intervals).
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Affiliation(s)
- Renato Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Maria Brunella Cipullo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Roberta Green
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Valeria Cantoni
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
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Nappi C, Zampella E, Volpe F, De Risi M, Piscopo L, Ponsiglione A, Imbriaco M, Acampa W, Petretta M, Cuocolo A. Identification and typing of cardiac amyloidosis by noninvasive imaging: Two cases for two patterns. J Nucl Cardiol 2020; 27:915-920. [PMID: 31845305 DOI: 10.1007/s12350-019-01982-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 11/26/2019] [Indexed: 11/28/2022]
Abstract
Cardiac amyloidosis is a restrictive infiltrative cardiomyopathy burdened by high mortality. The two more common forms are immunoglobulin light-chain amyloidosis and transthyretin-related amyloidosis with different prognoses and treatments. However, distinguishing between them is challenging. Appropriate utilization of the different available imaging techniques in the evaluation of patients with known or suspected cardiac amyloidosis is mandatory. We report two cases with cardiac amyloidosis of different etiology and with distinct imaging patterns. In the first case, the negative 99mTc-diphosphonate imaging was useful to support the diagnosis of cardiac amyloid light-chain; the second case emphasized the utility of whole-body scintigraphy in recognizing transthyretin-related cardiac amyloidosis and the potential role of cadmium-zinc-telluride SPECT imaging for the evaluation of segmental distribution of cardiac disease. Both cases support the growing interest in looking for noninvasive methods to type cardiac amyloidosis in the place of invasive myocardial biopsy highlighting both possibilities and limitations of available imaging techniques in diagnosis and treatment monitoring.
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Affiliation(s)
- Carmela Nappi
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Emilia Zampella
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Fabio Volpe
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Marina De Risi
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Leandra Piscopo
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Wanda Acampa
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy
- Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy
| | - Mario Petretta
- Department of Translational Medical Sciences, University Federico II, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
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Stanzione A, Gambardella M, Cuocolo R, Ponsiglione A, Romeo V, Imbriaco M. Prostate MRI radiomics: A systematic review and radiomic quality score assessment. Eur J Radiol 2020; 129:109095. [PMID: 32531722 DOI: 10.1016/j.ejrad.2020.109095] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/20/2020] [Accepted: 05/25/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Radiomics have the potential to further increase the value of MRI in prostate cancer management. However, implementation in clinical practice is still far and concerns have been raised regarding the methodological quality of radiomic studies. Therefore, we aimed to systematically review the literature to assess the quality of prostate MRI radiomic studies using the radiomics quality score (RQS). METHODS Multiple medical literature archives (PubMed, Web of Science and EMBASE) were searched to retrieve original investigations focused on prostate MRI radiomic approaches up to the end of June 2019. Three researchers independently assessed each paper using the RQS. Data from the most experienced researcher were used for descriptive analysis. Inter-rater reproducibility was assessed using the intraclass correlation coefficient (ICC) on the total RQS score. RESULTS 73 studies were included in the analysis. Overall, the average RQS total score was 7.93 ± 5.13 on a maximum of 36 points, with a final average percentage of 23 ± 13%. Among the most critical items, the lack of feature robustness testing strategies and external validation datasets. The ICC resulted poor to moderate, with an average value of 0.57 and 95% Confidence Intervals between 0.44 and 0.69. CONCLUSIONS Current studies on prostate MRI radiomics still lack the quality required to allow their introduction in clinical practice.
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Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Michele Gambardella
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Renato Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
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Imbriaco M, Stanzione A, Tamburi V, Gambardella M, Ponsiglione A, Cuocolo R. Are short magnetic resonance imaging protocols the future of prostate imaging? Chin Clin Oncol 2020; 9:41. [PMID: 32156117 DOI: 10.21037/cco.2019.12.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 12/13/2019] [Indexed: 11/06/2022]
Affiliation(s)
- Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy.
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy
| | - Virginia Tamburi
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy
| | - Michele Gambardella
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy
| | - Renato Cuocolo
- Department of Advanced Biomedical Sciences, University "Federico II" Napoli, Italy
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Ponsiglione A, Stanzione A, Cuocolo R, Imbriaco M. Re: A multicentre assessment of prostate MRI quality and compliance with UK and international standards. Clin Radiol 2020; 75:234-235. [DOI: 10.1016/j.crad.2019.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 11/11/2019] [Indexed: 12/13/2022]
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Cuocolo R, Ponsiglione A, Dell'Aversana S, D'Acierno L, Lassandro G, Ugga L, Romeo V, Vola EA, Stanzione A, Verde F, Picariello V, Capaldo I, Pontillo G, Cantoni V, Green R, Petretta M, Cuocolo A, Imbriaco M. The cardiac conundrum: a systematic review and bibliometric analysis of authorship in cardiac magnetic resonance imaging studies. Insights Imaging 2020; 11:42. [PMID: 32107649 PMCID: PMC7046856 DOI: 10.1186/s13244-020-00850-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 02/11/2020] [Indexed: 02/08/2023] Open
Abstract
PURPOSE We aimed to assess the role of radiologists, cardiologists, and other medical and non-medical figures in cardiac magnetic resonance imaging (MRI) research in the last 34 years, focusing on first and last authorship, number of published studies, and journal impact factors (IF). METHODS Articles in the field of cardiac MRI were considered in this systematic review and retrospective bibliometric analysis. For included studies, the first and last authors were categorized as cardiologists, radiologists/nuclear medicine physicians, medical doctors (MD) with specialties in both cardiology and radiology/nuclear medicine, and other MD and non-MD. Differences in the number of papers published overall and by year and institution location for the first and last author category were assessed. Mean IF differences between author categories were also investigated. RESULTS A total of 2053 articles were included in the final analysis. For the first authors (n = 2011), 52% were cardiologists, 22% radiologists/nuclear medicine physicians, 16% other MD, 10% other non-MD, and 1% both cardiologists and radiologists/nuclear medicine physicians. Similarly, the last authors (n = 2029) resulted 54% cardiologists, 22% radiologists/nuclear medicine physicians, 15% other MD, 8% other non-MD, and 2% both cardiologists and radiologists/nuclear medicine physicians. No significant differences due to institution location in the first and last authorship proportions were found. Average journal IF was significantly higher for cardiologist first and last authors when compared to that of radiologists/nuclear medicine physicians (both p < 0.0001). CONCLUSION Over 50% of studies in the field of cardiac MRI published in the last 34 years are conducted by cardiologists.
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Affiliation(s)
- Renato Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy.
| | - Serena Dell'Aversana
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Ludovica D'Acierno
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Giulia Lassandro
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Elena Augusta Vola
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Francesco Verde
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Valentina Picariello
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Iolanda Capaldo
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Valeria Cantoni
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Roberta Green
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Mario Petretta
- Department of Translational Medical Sciences, University Federico II, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University Federico II, Sergio Pansini 5, 80138, Naples, Italy
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Ponsiglione A, Spagnuolo G, Spagnuolo G, Stanzione A, Nappi C, Dell'Aversana S, Spagnuolo A, Cuocolo A, Imbriaco M. Aberrant right coronary artery in a grown up congenital cardiac patient, successfully treated 46 years earlier with a double Starr-Edwards silastic ball valve replacement: a case report. BMC Cardiovasc Disord 2020; 20:37. [PMID: 31996146 PMCID: PMC6990510 DOI: 10.1186/s12872-020-01351-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 01/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background The Starr-Edwards ball valve prosthesis was successfully introduced in 1961–62 and largely used for aortic and mitral valve replacement. Even if Starr-Edwards valves have been widely replaced in clinical practice by other mechanical valves, they define a standard concerning long-term durability. Case presentation We describe the case of a 55-year-old man referred to our Department to perform a cardiac computed tomography (CCT), to better evaluate a severe dilation of ascending aorta discovered at echocardiography. The patient had been surgically treated 46 years earlier to correct a supra-cristal type ventricular septal defect. Both mitral and aortic valves were replaced, respectively due to bacterial mitral endocarditis and a fibrous sub-valvular aortic stenosis. In addition, the right coronary artery (RCA) was found to arise from the left coronary sinus. Conclusion We report the longest lasting durability (46 years) of aortic and mitral Starr-Edwards valves successfully implanted in a patient simultaneously carrying a malignant anomalous origin of RCA.
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Affiliation(s)
- Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Gianrico Spagnuolo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Gabriella Spagnuolo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Serena Dell'Aversana
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Antonio Spagnuolo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
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Esposito R, Sorrentino R, Ponsiglione A, Santoro C, Lembo M, Riccio E, Imbriaco M, Pisani A, Galderisi M. P678 Late gadolinium enhancement cardiac magnetic resonance and layer-specific longitudinal strain in treatment naive Anderson Fabry disease. Eur Heart J Cardiovasc Imaging 2020. [DOI: 10.1093/ehjci/jez319.356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
In Anderson-Fabry disease (AFD), the accumulation of glycosphingolipids in cardiomyocytes causes inflammation, hypertrophy and interstitial fibrosis which is first limited to the mid-myocardial layers, then spreads to transmural fibrosis. Speckle tracking echocardiography allows the estimation of layer-specific strain, differentiating longitudinal strain (LS) at subendocardium and subepicardium (LSsubendo and LSsubepi, respectively).
Purpose
To investigate the matching of functional and structural abnormalities in newly diagnosed, never treated AFD patients by comparing multi-layer LS and late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR).
Methods
Twenty newly diagnosed, never treated AFD patients (age = 37 ± 13 years; F/M =10/10) and 20 healthy controls, matched for age and sex, underwent comprehensive evaluation of target organs and a standard echo-Doppler exam, including assessment of relative diastolic wall thickness (RWT) and left ventricular mass index (LVMI). Left ventricular hypertrophy (LVH) was defined as LVMi > 47 g/m^2.7 in women and >50 g/m^2.7 in men. Speckle tracking echocardiography derived left ventricular transmural global longitudinal strain (GLS), LSsubendo, LSsubepi and LS gradient (LSsubendo - LSsubpepi) were also determined. CMR sequences including assessment of LGE were also performed.
Results
AFD patients had normal renal function and comparable body mass index, blood pressure, heart rate, ejection fraction and diastolic indices with healthy controls. LVMi (p = 0.006) and RWT (p < 0.02) were greater in AFD patients than in controls. GLS (p = 0.006), LSsubendo (p = 0.005) and LSsubepi (p < 0.001) were lower in AFD patients. By CMR, only four patients (F/M = 3/1), 3 with LVH (75%), exhibited focal LGE, always localized in the midwall. LGE was detected at basal lateral wall in three patients and at the septal insertional points with the right ventricle in the remaining one. AFD patients with LGE had higher LVMi than those without LGE (47.2 ± 11.0 vs. 34.5 ± 11.6 g/m^2.7, p = 0.04). There was no correspondence of LGE with both regional LS and layer specific LS impairment (Figure). However, AFD patients with LGE had higher LS gradient compared to those without LGE (5.8 ± 0.65 vs. 4.8 ± 0.66, p < 0.02).
Conclusions
Treatment naïve AFD patients show a reduction of longitudinal deformation, which involves both subendocardial and subepicardial layers. Patients with LGE present higher LV mass and increased LS gradient, without a correspondence of LGE with both regional and layer specific LS impairment. Accordingly, this impairment might due to myocardial inflammation occurring in the early disease stages more than to myocardial fibrosis itself.
Abstract P678 Figure. Multilayer bull"s eye and LGE-CMR in AFD
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Affiliation(s)
- R Esposito
- University Hospital Federico II, Naples, Italy
| | | | | | - C Santoro
- University Hospital Federico II, Naples, Italy
| | - M Lembo
- University Hospital Federico II, Naples, Italy
| | - E Riccio
- University Hospital Federico II, Naples, Italy
| | - M Imbriaco
- University Hospital Federico II, Naples, Italy
| | - A Pisani
- University Hospital Federico II, Naples, Italy
| | - M Galderisi
- University Hospital Federico II, Naples, Italy
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Caranci F, Leone G, Ponsiglione A, Muto M, Tortora F, Muto M, Cirillo S, Brunese L, Cerase A. Imaging findings in hypophysitis: a review. Radiol Med 2019; 125:319-328. [PMID: 31863360 DOI: 10.1007/s11547-019-01120-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/28/2019] [Indexed: 12/24/2022]
Abstract
Hypophysitis (HP) is a rare acute or chronic inflammatory condition of the pituitary gland. The greatest challenge in the management of HP is establishing a diagnosis through clinical criteria and non-invasive methods and predicting the patients' clinical outcome. The aim of this review is to describe the neuroradiological findings of this rare disease, providing some information regarding the possible differential diagnosis in order to avoid unnecessary surgery. Gadolinium-enhanced pituitary magnetic resonance imaging (MRI) is considered the neuroradiological investigation of choice. The features suggestive for HP include an enlarged triangular- or dumbbell-shaped gland with a thickened and not obviously deviated stalk, further supported by the absence of posterior pituitary bright spot on T1weighted images, particularly in patients presenting with diabetes insipidus. Contrast enhancement pattern is quite variable; dural enhancement has been reported in some cases after intravenous contrast administration. The characterization of the unusual sellar mass is not straightforward and generally results in a wide differential. HP should be primarily differentiated from pituitary adenomas (including pituitary apoplexy), from pituitary metastases, and from other sellar and parasellar tumors, e.g., craniopharyngiomas, germinomas, gliomas, lymphomas, meningiomas, pituicytomas, chordomas, teratomas, dermoids and epidermoids, Rathke's cleft cysts, and abscesses. In patients suspected for secondary forms related to systemic pathology, additional imaging is helpful in identifying other involved sites. Neuroradiologists need to know MRI appearance of this rare disease, as well as its typical symptoms and serological markers. A strict collaboration with endocrinologists and neurosurgeons is mandatory in order to reach a definitive diagnosis, allowing to promptly initiating an appropriate treatment.
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Affiliation(s)
- Ferdinando Caranci
- Department of Medicine and Health Sciences "V. Tiberio", University of Molise, Via Francesco De Sanctis 1, 86100, Campobasso, Italy.
| | - Giuseppe Leone
- Department of Neuroradiology, A.O.R.N. Cardarelli, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Massimo Muto
- Department of Neuroradiology, A.O.R.N. Cardarelli, Naples, Italy.,Department of Neuroscience and Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Fabio Tortora
- Department of Precision Medicine, School of Medicine, "Luigi Vanvitelli" University of Campania, Naples, Italy
| | - Mario Muto
- Department of Neuroradiology, A.O.R.N. Cardarelli, Naples, Italy
| | - Sossio Cirillo
- Department of Precision Medicine, School of Medicine, "Luigi Vanvitelli" University of Campania, Naples, Italy
| | - Luca Brunese
- Department of Medicine and Health Sciences "V. Tiberio", University of Molise, Via Francesco De Sanctis 1, 86100, Campobasso, Italy
| | - Alfonso Cerase
- Department of Neurological and Sensorineural Sciences, Azienda ospedaliero-universitaria Senese, Policlinico "Santa Maria alle Scotte", Siena, Italy
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Cuocolo R, Stanzione A, Ponsiglione A, Verde F, Ventimiglia A, Romeo V, Petretta M, Imbriaco M. Prostate MRI technical parameters standardization: A systematic review on adherence to PI-RADSv2 acquisition protocol. Eur J Radiol 2019; 120:108662. [DOI: 10.1016/j.ejrad.2019.108662] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 08/26/2019] [Accepted: 09/05/2019] [Indexed: 11/26/2022]
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50
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Losi MA, Imbriaco M, Canciello G, Pacelli F, Di Nardo C, Lombardi R, Izzo R, Mancusi C, Ponsiglione A, Dell'Aversana S, Cuocolo A, de Simone G, Trimarco B, Barbato E. Left Ventricular Mass in Hypertrophic Cardiomyopathy Assessed by 2D-Echocardiography: Validation with Magnetic Resonance Imaging. J Cardiovasc Transl Res 2019; 13:238-244. [PMID: 31489577 DOI: 10.1007/s12265-019-09911-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 08/28/2019] [Indexed: 12/15/2022]
Abstract
We aim to validate echocardiographic left ventricular (LV) mass (echoLVM) in sixty-one patients with hypertrophic cardiomyopathy (HCM), using cardiac magnetic resonance measures (cmrLVM) as gold standard. cmrLVM was calculated using LV short-axis images, from base to apex, whereas echoLVM by LV epicardial minus LV endocardial volumes in 4 and 2 chamber views, using Simpson disk summation; trabeculae and papillary muscle were excluded in both cmrLVM and echoLVM. cmrLVM and echoLVM were not different by paired t test (145 ± 66 vs 147 ± 61; p = 0.240), and their correlation was good (r = 0.977; p < 0.0001). Intraclass correlation demonstrated reliability of echoLVM with cmrLVM (ρ = 0.987; Cls = 0.978-0.992; p < 0.0001). LV end-diastolic volume was higher by CMR than that by echo (137 ± 33 vs 85 ± 28 mL, p < 0.0001), resulting in a lower mass/volume ratio (1.1 ± 0.4 vs 1.8 ± 0.8, p < 0.0001). EchoLVM may be determined in patients with HCM. However, mass/volume ratio is higher by echocardiography than that by CMR.
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Affiliation(s)
- Maria Angela Losi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Grazia Canciello
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Filomena Pacelli
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Carlo Di Nardo
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Raffaella Lombardi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Raffaele Izzo
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Costantino Mancusi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Serena Dell'Aversana
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Giovanni de Simone
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Bruno Trimarco
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
| | - Emanuele Barbato
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy
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