0000000000327682

AUTHOR

G Ferrera

showing 2 related works from this author

Optimal local control and tolerability of three-dimensional conformal radiation therapy in prostate cancer: A single institutional experience of dose…

2013

Aims To evaluate long-term late side effects, clinical and biochemical relapse in non-metastatic prostate cancer patients treated with dose escalation, from 74 to 78 Gy, by means of three dimensional conformal radiation therapy. Materials and Methods Clinical data of 125 patients with prostate cancer who underwent three-dimensional conformal radiation therapy were retrospectively evaluated. All patients were stratified, according to the NCCN classification, in low, intermediate and high risk, and all of them showed histologically proven adenocarcinoma stage T1–T3 with at least 2 years of follow-up. Late toxicity was analyzed using a modified Radiation Therapy Oncology Group toxicity scale. …

MaleCancer ResearchThree dimensional conformal radiation therapyUrinary BladderUrogenital SystemKaplan-Meier EstimateAdenocarcinomaDisease-Free SurvivalBiomarkers Tumor80 and overHumansLate toxicity; Local control; Prostate cancer; Radiation therapy; Three dimensional conformal radiation therapy; Adenocarcinoma; Aged; Aged 80 and over; Biomarkers Tumor; Disease-Free Survival; Gastrointestinal Tract; Humans; Italy; Kaplan-Meier Estimate; Male; Middle Aged; Neoplasm Staging; Prostate-Specific Antigen; Prostatic Neoplasms; Radiation Injuries; Radiotherapy Dosage; Radiotherapy Conformal; Rectum; Retrospective Studies; Urinary Bladder; Urogenital System; Medicine (all); Oncology; Cancer ResearchRadiation InjuriesAgedNeoplasm StagingRetrospective StudiesAged 80 and overProstate cancerTumorRadiotherapyConformalMedicine (all)RectumProstatic NeoplasmsRadiotherapy DosageGeneral MedicineMiddle AgedProstate-Specific AntigenRadiation therapyGastrointestinal TractItalyOncologyLocal controlRadiotherapy ConformalLate toxicityBiomarkers
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PREDICTIVE MODELS BASED ON RADIOMICS AND MACHINE LEARNING FOR LUNG CANCER RADIOTHERAPY DATA ANALYSIS

2020

lung cancermachine learning
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