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Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
Netti S, D'Ecclesiis O, Corso F, Botta F, Origgi D, Pesapane F, Agazzi GM, Rotili A, Gaeta A, Scalco E, Rizzo G, Jereczek-Fossa BA, Cassano E, Curigliano G, Gandini S, Raimondi S. Netti S, et al. Among authors: origgi d. Eur Radiol. 2024 Dec 19. doi: 10.1007/s00330-024-11260-y. Online ahead of print. Eur Radiol. 2024. PMID: 39702630
Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis.
Pesapane F, Rotili A, Botta F, Raimondi S, Bianchini L, Corso F, Ferrari F, Penco S, Nicosia L, Bozzini A, Pizzamiglio M, Origgi D, Cremonesi M, Cassano E. Pesapane F, et al. Among authors: origgi d. Cancers (Basel). 2021 Aug 25;13(17):4271. doi: 10.3390/cancers13174271. Cancers (Basel). 2021. PMID: 34503081 Free PMC article.
Radiomics: the facts and the challenges of image analysis.
Rizzo S, Botta F, Raimondi S, Origgi D, Fanciullo C, Morganti AG, Bellomi M. Rizzo S, et al. Among authors: origgi d. Eur Radiol Exp. 2018 Nov 14;2(1):36. doi: 10.1186/s41747-018-0068-z. Eur Radiol Exp. 2018. PMID: 30426318 Free PMC article. Review.
Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters.
Rinaldi L, De Angelis SP, Raimondi S, Rizzo S, Fanciullo C, Rampinelli C, Mariani M, Lascialfari A, Cremonesi M, Orecchia R, Origgi D, Botta F. Rinaldi L, et al. Among authors: origgi d. Eur Radiol Exp. 2022 Jan 25;6(1):2. doi: 10.1186/s41747-021-00258-6. Eur Radiol Exp. 2022. PMID: 35075539 Free PMC article.
Association of a CT-Based Clinical and Radiomics Score of Non-Small Cell Lung Cancer (NSCLC) with Lymph Node Status and Overall Survival.
Botta F, Raimondi S, Rinaldi L, Bellerba F, Corso F, Bagnardi V, Origgi D, Minelli R, Pitoni G, Petrella F, Spaggiari L, Morganti AG, Del Grande F, Bellomi M, Rizzo S. Botta F, et al. Among authors: origgi d. Cancers (Basel). 2020 May 31;12(6):1432. doi: 10.3390/cancers12061432. Cancers (Basel). 2020. PMID: 32486453 Free PMC article.
The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images.
Corso F, Tini G, Lo Presti G, Garau N, De Angelis SP, Bellerba F, Rinaldi L, Botta F, Rizzo S, Origgi D, Paganelli C, Cremonesi M, Rampinelli C, Bellomi M, Mazzarella L, Pelicci PG, Gandini S, Raimondi S. Corso F, et al. Among authors: origgi d. Cancers (Basel). 2021 Jun 21;13(12):3088. doi: 10.3390/cancers13123088. Cancers (Basel). 2021. PMID: 34205631 Free PMC article.
Radiomic Features Applied to Contrast Enhancement Spectral Mammography: Possibility to Predict Breast Cancer Molecular Subtypes in a Non-Invasive Manner.
Nicosia L, Bozzini AC, Ballerini D, Palma S, Pesapane F, Raimondi S, Gaeta A, Bellerba F, Origgi D, De Marco P, Castiglione Minischetti G, Sangalli C, Meneghetti L, Curigliano G, Cassano E. Nicosia L, et al. Among authors: origgi d. Int J Mol Sci. 2022 Dec 5;23(23):15322. doi: 10.3390/ijms232315322. Int J Mol Sci. 2022. PMID: 36499648 Free PMC article.
Association of quantitative MRI-based radiomic features with prognostic factors and recurrence rate in oropharyngeal squamous cell carcinoma.
Giannitto C, Marvaso G, Botta F, Raimondi S, Alterio D, Ciardo D, Volpe S, De Piano F, Ancona E, Tagliabue M, Origgi D, Chiocca S, Maffini FA, Ansarin M, Bagnardi V, Cattani F, Nolè F, Preda L, Orecchia R, Cassano E, Cremonesi M, Starzyńska A, Bellomi M, Jereczek-Fossa BA. Giannitto C, et al. Among authors: origgi d. Neoplasma. 2020 Nov;67(6):1437-1446. doi: 10.4149/neo_2020_200310N249. Epub 2020 Aug 13. Neoplasma. 2020. PMID: 32787435 Free article.
56 results