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Frontiers in Oncology|March 14, 2022
A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer PatientsGiuditta Chiloiro, Luca Boldrini, Francesco Preziosi, et al.
Academic Radiology|July 10, 2019
CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence RiskTugba Akinci D'Antonoli, Alessandra Farchione, Jacopo Lenkowicz, et al.
La Medicina Del Lavoro|August 27, 2021
Occupational hand dermatitis web survey in a university hospital during COVID-19 pandemic: the SHIELD studyAngela Rizzi, Riccardo Inchingolo, Marinella Viola, et al.
Journal of Alzheimer'S Disease : JAD|January 6, 2026
Redefining management of mild cognitive impairment and Alzheimer's disease through the shift from clinical to clinical-biological diagnosis: Insights from a single-center experienceGuido Maria Giuffrè, Federico Battisti, Andrada Mihaela Tudor, et al.
Journal of Geriatric Oncology|October 19, 2025
Prognostic impact of Geriatric 8 and comprehensive geriatric assessment in older patients with advanced pancreatic ductal adenocarcinomaGiovanni Trovato, Linda Di Francesco, Antonia Cosmai, et al.
Radiation Oncology (London, England)|April 16, 2022
Applicability of a pathological complete response magnetic resonance-based radiomics model for locally advanced rectal cancer in intercontinental cohortLuca Boldrini, Jacopo Lenkowicz, Lucia Clara Orlandini, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 19, 2020
A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic casesDavide Cusumano, Jacopo Lenkowicz, Claudio Votta, et al.
La Radiologia Medica|October 31, 2018
Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approachLuca Boldrini, Davide Cusumano, Giuditta Chiloiro, et al.
World Journal of Surgical Oncology|May 11, 2025
Radiomic-based models are able to predict the pathologic response to different neoadjuvant chemotherapy regimens in patients with gastric and gastroesophageal cancer: a cohort studyAnnamaria Agnes, Luca Boldrini, Federica Perillo, et al.
La Radiologia Medica|November 2, 2021
Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model developmentGiuditta Chiloiro, Davide Cusumano, Paola de Franco, et al.
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