Publications by authors named "G Meschini"

To experimentally validate a method to create continuous time-resolved estimated synthetic 4D-computed tomography datasets (tresCTs) based on orthogonal cine MRI data for lung cancer treatments at a magnetic resonance imaging (MRI) guided linear accelerator (MR-linac).A breathing porcine lung phantom was scanned at a CT scanner and 0.35 T MR-linac.

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. Respiration negatively affects the outcome of a radiation therapy treatment, with potentially severe effects especially in particle therapy (PT). If compensation strategies are not applied, accuracy cannot be achieved.

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The generation of synthetic CT for carbon ion radiotherapy (CIRT) applications is challenging, since high accuracy is required in treatment planning and delivery, especially in an anatomical site as complex as the abdomen. Thirty-nine abdominal MRI-CT volume pairs were collected and a three-channel cGAN (accounting for air, bones, soft tissues) was used to generate sCTs. The network was tested on five held-out MRI volumes for two scenarios: (i) a CT-based segmentation of the MRI channels, to assess the quality of sCTs and (ii) an MRI manual segmentation, to simulate an MRI-only treatment scenario.

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Purpose /objective: To quantify benefits of robust optimization on multiple 4DCT acquisitions combined with off-line treatment adaptation for neoadjuvant carbon ion therapy (CIRT) of pancreatic cancer.

Material/methods: For 10 previously treated patients, 4DCTs were acquired around -15 (CT), -5 (RE), -1 (RE) and +6 (RE) days from RT start. Treatment plans were newly optimized to a dose prescription of 38.

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Article Synopsis
  • - This study explores the effectiveness of using MRI to improve treatment accuracy in carbon-ion radiotherapy for pancreatic cancer, specifically focusing on respiratory motion variability that standard 4DCT might miss.
  • - Researchers developed a method to create virtual CT images from MRI data, allowing them to assess tumor movement and dose delivery more accurately across different treatment sessions and breathing cycles.
  • - Findings indicate that MRI can enhance treatment planning by effectively monitoring tumor displacement and dose variations, showing potential benefits in clinical settings for targeting pancreatic cancers with reduced risks to surrounding organs.
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