Radioactive ⁹⁰Y-selective internal radiation (SIR) sphere therapy is increasingly used for the treatment of nonresectable hepatocellular carcinoma (HCC). However, the maximum delivered dose is limited by severe injury to the nontarget tissue, including liver parenchyma. Our study aimed to implement radiobiologic models for both tumor control probability (TCP) and normal-tissue complication probability (NTCP) to describe more effectively local response and the liver toxicity rate, respectively. Methods: Patients with documented HCC, adequate bone marrow parameters, and regular hepatic and pulmonary function were eligible for the study. Patients who had pulmonary shunt greater than 20% of ^99mTc-labeled macroaggregated albumin or any uncorrectable delivery to the gastrointestinal tract, reverse blood flow out of the liver, or complete portal vein thrombosis were excluded. Patients received a planned activity of the ⁹⁰Y-SIR spheres, determined using the empiric body surface area method. The dose distribution was determined using posttreatment (3-dimensional) activity distribution and Monte Carlo dose voxel kernel calculations, and the mean doses to healthy liver and tumor were calculated for each patient. Response was defined according to Response Evaluation Criteria in Solid Tumors (RECIST) and recommendations of the European Association for the Study of the Liver (EASL). Criteria were used to assess possible liver toxicities. The parameters of TCP and NTCP models were established by direct maximization of the likelihood. Results: Seventy-three patients were treated. With an average dose of 110 Gy to the tumor, complete or partial response was observed in 74% and 55% of patients according to the EASL guideline and RECIST, respectively, and the predicted TCPs were 73% and 55%, respectively. With a median liver dose of 36 Gy (range, 6–78 Gy), the ≥grade 2 (G2), ≥grade 3 (G3), and ≥grade 4 (G4) liver toxicities were observed in 32% (23/73), 21% (15/73), and 11% (8/73) of patients, respectively. The parameters describing the ≥G2 liver toxicity data using the NTCP model were a tolerance dose of the whole organ leading to a 50% complication probability of 52 Gy (95% confidence interval, 44–61 Gy) and a slope of NTCP versus dose of 0.28 (95% confidence interval, 0.18–0.60), assuming n = 1. Conclusion: The radiobiologic approach, based on patient-specific dosimetry, could improve the ⁹⁰Y-microsphere therapeutic approach of HCC, maintaining an acceptable liver toxicity.

To investigate the potential dosimetric and clinical benefits of Deep Inspiration Breath-Hold (DIBH) technique during radiotherapy of breast cancer compared with Free Breathing (FB).

Purpose: This study investigates whether the abscopal effect induced by radiation-therapy (RT) is able to sterilize non-irradiated tumour cells through bystander signals.Material and methods: Wild-...

The aim of this study was to investigate the dosimetric characteristics of the electron beams generated by the light intraoperative accelerator, Liac® (SORDINA, Italy), using Monte Carlo (MC) calculations. Moreover we investigated the possibility of characterizing the Liac® dosimetry with a minimal set of dosimetric data. In fact accelerator commissioning requires measurements of both percentage depth doses (PDDs) and off-axis profiles for all the possible combinations of energy, applicator diameter and bevelled angle. The Liac® geometry and water phantom were simulated in a typical measurement setup, using the MC code EGSnrc/BEAMnrc. A simulated annealing optimization algorithm was used in order to find the optimal non-monoenergetic spectrum of the initial electron beam that minimizes the differences between calculated and measured PDDs. We have concluded that, for each investigated nominal energy beam, only the PDDs of applicators with diameters of 30, 70 and 100 mm and the PDD without an applicator were needed to find the optimal spectra. Finally, the output factors of the entire set of applicator diameters/bevelled angles were calculated. The differences between calculated and experimental output factors were better than 2%, with the exception of the smallest applicator which gave differences between 3% and 4% for all energies. The code turned out to be useful for checking the experimental data from various Liac® beams and will be the basis for developing a tool based on MC simulation to support the medical physicist in the commissioning phase.