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Granata V, Fusco R, Setola SV, Galdiero R, Maggialetti N, Patrone R, Ottaiano A, Nasti G, Silvestro L, Cassata A, Grassi F, Avallone A, Izzo F, Petrillo A. Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics. Infect Agent Cancer 2023;18:18. [PMID: 36927442 DOI: 10.1186/s13027-023-00495-x] [Reference Citation Analysis]
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Gabelloni M, Faggioni L, Fusco R, De Muzio F, Danti G, Grassi F, Grassi R, Palumbo P, Bruno F, Borgheresi A, Bruno A, Catalano O, Gandolfo N, Giovagnoni A, Miele V, Barile A, Granata V. Exploring Radiologists' Burnout in the COVID-19 Era: A Narrative Review. Int J Environ Res Public Health 2023;20. [PMID: 36834044 DOI: 10.3390/ijerph20043350] [Reference Citation Analysis]
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De Muzio F, Fusco R, Cutolo C, Giacobbe G, Bruno F, Palumbo P, Danti G, Grazzini G, Flammia F, Borgheresi A, Agostini A, Grassi F, Giovagnoni A, Miele V, Barile A, Granata V. Post-Surgical Imaging Assessment in Rectal Cancer: Normal Findings and Complications. J Clin Med 2023;12. [PMID: 36836024 DOI: 10.3390/jcm12041489] [Reference Citation Analysis]
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Grassi F, Granata V, Fusco R, De Muzio F, Cutolo C, Gabelloni M, Borgheresi A, Danti G, Picone C, Giovagnoni A, Miele V, Gandolfo N, Barile A, Nardone V, Grassi R. Radiation Recall Pneumonitis: The Open Challenge in Differential Diagnosis of Pneumonia Induced by Oncological Treatments. J Clin Med 2023;12. [PMID: 36835977 DOI: 10.3390/jcm12041442] [Reference Citation Analysis]
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Bicci E, Cozzi D, Cavigli E, Ruzga R, Bertelli E, Danti G, Bettarini S, Tortoli P, Mazzoni LN, Busoni S, Miele V. Reproducibility of CT radiomic features in lung neuroendocrine tumours (NETs) patients: analysis in a heterogeneous population. Radiol Med 2023;128:203-11. [PMID: 36637739 DOI: 10.1007/s11547-023-01592-y] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Grassi F, Brunese MC, Simonetti I, Catalano O, Gabelloni M, Pradella S, Danti G, Flammia F, Borgheresi A, Agostini A, Bruno F, Palumbo P, Ottaiano A, Izzo F, Giovagnoni A, Barile A, Gandolfo N, Miele V. Risk Assessment and Cholangiocarcinoma: Diagnostic Management and Artificial Intelligence. Biology (Basel) 2023;12. [PMID: 36829492 DOI: 10.3390/biology12020213] [Reference Citation Analysis]
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Giacobbe G, Granata V, Trovato P, Fusco R, Simonetti I, De Muzio F, Cutolo C, Palumbo P, Borgheresi A, Flammia F, Cozzi D, Gabelloni M, Grassi F, Miele V, Barile A, Giovagnoni A, Gandolfo N. Gender Medicine in Clinical Radiology Practice. J Pers Med 2023;13. [PMID: 36836457 DOI: 10.3390/jpm13020223] [Reference Citation Analysis]
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Gabelloni M, Faggioni L, Fusco R, Simonetti I, De Muzio F, Giacobbe G, Borgheresi A, Bruno F, Cozzi D, Grassi F, Scaglione M, Giovagnoni A, Barile A, Miele V, Gandolfo N, Granata V. Radiomics in Lung Metastases: A Systematic Review. J Pers Med 2023;13. [PMID: 36836460 DOI: 10.3390/jpm13020225] [Reference Citation Analysis]
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Granata V, Fusco R, Setola SV, Simonetti I, Picone C, Simeone E, Festino L, Vanella V, Vitale MG, Montanino A, Morabito A, Izzo F, Ascierto PA, Petrillo A. Immunotherapy Assessment: A New Paradigm for Radiologists. Diagnostics (Basel) 2023;13. [PMID: 36673112 DOI: 10.3390/diagnostics13020302] [Reference Citation Analysis]
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Sansone M, Fusco R, Grassi F, Gatta G, Belfiore MP, Angelone F, Ricciardi C, Ponsiglione AM, Amato F, Galdiero R, Grassi R, Granata V, Grassi R. Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography. Curr Oncol 2023;30:839-53. [PMID: 36661713 DOI: 10.3390/curroncol30010064] [Reference Citation Analysis]
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Capobianco E, Dominietto M. Translating Data Science Results into Precision Oncology Decisions: A Mini Review. J Clin Med 2023;12. [PMID: 36675367 DOI: 10.3390/jcm12020438] [Reference Citation Analysis]
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Granata V, Fusco R, Setola SV, Galdiero R, Maggialetti N, Silvestro L, De Bellis M, Di Girolamo E, Grazzini G, Chiti G, Brunese MC, Belli A, Patrone R, Palaia R, Avallone A, Petrillo A, Izzo F. Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence. Cancers (Basel) 2023;15. [PMID: 36672301 DOI: 10.3390/cancers15020351] [Reference Citation Analysis]
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Lacasella GV, Berritto D, Grassi R, Karaboue K. Interaction between radiology and industry in Italy: from the industrial revolution to multinationals. G Ital Radiol Med 2023;9. [DOI: 10.23736/s2723-9284.22.00216-1] [Reference Citation Analysis]
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Khalili N, Rezaei N. The Utility of Radiomics in Predicting Response to Cancer Immunotherapy. Handbook of Cancer and Immunology 2023. [DOI: 10.1007/978-3-030-80962-1_136-1] [Reference Citation Analysis]
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Ge G, Zhang J. Feature selection methods and predictive models in CT lung cancer radiomics. J Appl Clin Med Phys 2023;24:e13869. [PMID: 36527376 DOI: 10.1002/acm2.13869] [Reference Citation Analysis]
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Giannessi C, Smorchkova O, Cozzi D, Zantonelli G, Bertelli E, Moroni C, Cavigli E, Miele V. Behçet's Disease: A Radiological Review of Vascular and Parenchymal Pulmonary Involvement. Diagnostics (Basel) 2022;12. [PMID: 36428928 DOI: 10.3390/diagnostics12112868] [Reference Citation Analysis]
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Montella M, Ciani G, Granata V, Fusco R, Grassi F, Ronchi A, Cozzolino I, Franco R, Zito Marino F, Urraro F, Monti R, Sirica R, Savarese G, Chianese U, Nebbioso A, Altucci L, Vietri MT, Nardone V, Reginelli A, Grassi R. Preliminary Experience of Liquid Biopsy in Lung Cancer Compared to Conventional Assessment: Light and Shadows. J Pers Med 2022;12. [PMID: 36422072 DOI: 10.3390/jpm12111896] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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Ter Maat LS, van Duin IAJ, Elias SG, van Diest PJ, Pluim JPW, Verhoeff JJC, de Jong PA, Leiner T, Veta M, Suijkerbuijk KPM. Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review. Eur J Cancer 2022;175:60-76. [PMID: 36096039 DOI: 10.1016/j.ejca.2022.07.034] [Reference Citation Analysis]
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Dercle L, McGale J, Sun S, Marabelle A, Yeh R, Deutsch E, Mokrane FZ, Farwell M, Ammari S, Schoder H, Zhao B, Schwartz LH. Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy. J Immunother Cancer 2022;10:e005292. [PMID: 36180071 DOI: 10.1136/jitc-2022-005292] [Reference Citation Analysis]
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Sun R, Henry T, Laville A, Carré A, Hamaoui A, Bockel S, Chaffai I, Levy A, Chargari C, Robert C, Deutsch E. Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy? J Immunother Cancer 2022;10:e004848. [PMID: 35793875 DOI: 10.1136/jitc-2022-004848] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Granata V, Fusco R, Belli A, Danti G, Bicci E, Cutolo C, Petrillo A, Izzo F. Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when. Infect Agent Cancer 2022;17:25. [PMID: 35681237 DOI: 10.1186/s13027-022-00441-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Setola SV, Dell'Aversana F, Grassi F, Belli A, Silvestro L, Ottaiano A, Nasti G, Avallone A, Flammia F, Miele V, Tatangelo F, Izzo F, Petrillo A. Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases. Radiol Med 2022. [PMID: 35653011 DOI: 10.1007/s11547-022-01501-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Mattace Raso M, Gabelloni M, Avallone A, Ottaiano A, Tatangelo F, Brunese MC, Miele V, Izzo F, Petrillo A. Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern. Diagnostics 2022;12:1115. [DOI: 10.3390/diagnostics12051115] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Setola SV, Dell'Aversana F, Belli A, Romano C, Ottaiano A, Nasti G, Avallone A, Miele V, Tatangelo F, Petrillo A, Izzo F. Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know. J Clin Med 2022;11. [PMID: 35456314 DOI: 10.3390/jcm11082221] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 10.0] [Reference Citation Analysis]
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Fusco R, Granata V, Grazzini G, Pradella S, Borgheresi A, Bruno A, Palumbo P, Bruno F, Grassi R, Giovagnoni A, Grassi R, Miele V, Barile A. Radiomics in medical imaging: pitfalls and challenges in clinical management. Jpn J Radiol 2022. [PMID: 35344132 DOI: 10.1007/s11604-022-01271-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Granata V, Fusco R, Setola SV, De Muzio F, Dell' Aversana F, Cutolo C, Faggioni L, Miele V, Izzo F, Petrillo A. CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases. Cancers (Basel) 2022;14:1648. [PMID: 35406419 DOI: 10.3390/cancers14071648] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
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Granata V, Fusco R, Setola SV, Simonetti I, Cozzi D, Grazzini G, Grassi F, Belli A, Miele V, Izzo F, Petrillo A. An update on radiomics techniques in primary liver cancers. Infect Agent Cancer 2022;17:6. [PMID: 35246207 DOI: 10.1186/s13027-022-00422-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Setola SV, Dell'Aversana F, Ottaiano A, Nasti G, Grassi R, Pilone V, Miele V, Brunese MC, Tatangelo F, Izzo F, Petrillo A. EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases. Cancers (Basel) 2022;14:1239. [PMID: 35267544 DOI: 10.3390/cancers14051239] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
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Granata V, Fusco R, De Muzio F, Cutolo C, Setola SV, Dell' Aversana F, Ottaiano A, Avallone A, Nasti G, Grassi F, Pilone V, Miele V, Brunese L, Izzo F, Petrillo A. Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study. Cancers (Basel) 2022;14:1110. [PMID: 35267418 DOI: 10.3390/cancers14051110] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 16.0] [Reference Citation Analysis]
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Granata V, Grassi R, Fusco R, Setola SV, Belli A, Ottaiano A, Nasti G, La Porta M, Danti G, Cappabianca S, Cutolo C, Petrillo A, Izzo F. Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features. Radiol Med 2021;126:1584-600. [PMID: 34843029 DOI: 10.1007/s11547-021-01428-7] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 8.5] [Reference Citation Analysis]
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Granata V, Morana G, D'Onofrio M, Fusco R, Coppola F, Grassi F, Cappabianca S, Reginelli A, Maggialetti N, Buccicardi D, Barile A, Rengo M, Bortolotto C, Urraro F, La Casella GV, Montella M, Ciaghi E, Bellifemine F, De Muzio F, Danti G, Grazzini G, Barresi C, Brunese L, Neri E, Grassi R, Miele V, Faggioni L. Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal. Diagnostics (Basel) 2021;11:2033. [PMID: 34829384 DOI: 10.3390/diagnostics11112033] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
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Granata V, Ianniello S, Fusco R, Urraro F, Pupo D, Magliocchetti S, Albarello F, Campioni P, Cristofaro M, Di Stefano F, Fusco N, Petrone A, Schininà V, Villanacci A, Grassi F, Grassi R, Grassi R. Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software. J Pers Med 2021;11:1103. [PMID: 34834455 DOI: 10.3390/jpm11111103] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
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