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For: Nardone V, Boldrini L, Grassi R, Franceschini D, Morelli I, Becherini C, Loi M, Greto D, Desideri I. Radiomics in the Setting of Neoadjuvant Radiotherapy: A New Approach for Tailored Treatment. Cancers (Basel) 2021;13:3590. [PMID: 34298803 DOI: 10.3390/cancers13143590] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Carloni G, Garibaldi C, Marvaso G, Volpe S, Zaffaroni M, Pepa M, Johannes Isaksson L, Colombo F, Durante S, Lo Presti G, Raimondi S, Spaggiari L, De Marinis F, Piperno G, Vigorito S, Gandini S, Cremonesi M, Positano V, Alicja Jereczek-fossa B. Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms. Radiotherapy and Oncology 2022. [DOI: 10.1016/j.radonc.2022.11.013] [Reference Citation Analysis]
2 Autorino R, Gui B, Panza G, Boldrini L, Cusumano D, Russo L, Nardangeli A, Persiani S, Campitelli M, Ferrandina G, Macchia G, Valentini V, Gambacorta MA, Manfredi R. Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy. Radiol Med 2022. [PMID: 35325372 DOI: 10.1007/s11547-022-01482-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Boca (Petresc) B, Caraiani C, Popa L, Lebovici A, Feier DS, Bodale C, Buruian MM. The Utility of ADC First-Order Histogram Features for the Prediction of Metachronous Metastases in Rectal Cancer: A Preliminary Study. Biology 2022;11:452. [DOI: 10.3390/biology11030452] [Reference Citation Analysis]
4 Lyra V, Chatziioannou S, Kallergi M. Clinical Perspectives for 18F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics. Metabolites 2022;12:217. [DOI: 10.3390/metabo12030217] [Reference Citation Analysis]
5 Urraro F, Nardone V, Reginelli A, Varelli C, Angrisani A, Patanè V, D'Ambrosio L, Roccatagliata P, Russo GM, Gallo L, De Chiara M, Altucci L, Cappabianca S. MRI Radiomics in Prostate Cancer: A Reliability Study. Front Oncol 2021;11:805137. [PMID: 34993153 DOI: 10.3389/fonc.2021.805137] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Nardone V, Reginelli A, Grassi R, Boldrini L, Vacca G, D'Ippolito E, Annunziata S, Farchione A, Belfiore MP, Desideri I, Cappabianca S. Delta radiomics: a systematic review. Radiol Med 2021;126:1571-83. [PMID: 34865190 DOI: 10.1007/s11547-021-01436-7] [Cited by in Crossref: 24] [Cited by in F6Publishing: 28] [Article Influence: 24.0] [Reference Citation Analysis]
7 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: 17.0] [Reference Citation Analysis]
8 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: 3.0] [Reference Citation Analysis]
9 Granata V, Pradella S, Cozzi D, Fusco R, Faggioni L, Coppola F, Grassi R, Maggialetti N, Buccicardi D, Lacasella GV, Montella M, Ciaghi E, Bellifemine F, De Filippo M, Rengo M, Bortolotto C, Prost R, Barresi C, Cappabianca S, Brunese L, Neri E, Grassi R, Miele V. Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal. J Clin Med 2021;10:4007. [PMID: 34501455 DOI: 10.3390/jcm10174007] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]