Background And Purpose: For pelvic magnetic resonance imaging (MRI)-only radiotherapy the use of receiver coil bridges (CB) is recommended to avoid deformation of the patient. Development in coil technology has enabled lightweight, flexible coils. In this work we evaluate the effects of a lightweight coil in a pelvic MRI-only radiotherapy workflow.
Materials And Methods: Twenty-one patients, referred to prostate MRI-only radiotherapy, were included. Images were acquired with and without CB. Anatomical deformation from the on-patient coil placement was measured in the anterior-posterior (AP) and left-right (LR) direction. The change in signal-to-noise ratio (SNR) was measured in phantom and in vivo.The clinical treatment plan, created on the image with CB, was transferred and recalculated on the image without the CB. Dose metrics for the targets (planning- and clinical target volume) and organs at risks (OAR) were analyzed.
Results: There was a statistically significant increase in SNR in-vivo (median 21 %, p = 0.002) when removing the CB. Anatomical differences after removing the CB in patients were -1.5 mm in AP (median change) and + 2.5 mm in LR direction. Dosimetric differences for the target structures were clinically negligible, but statistically significant. The difference in target mean doses were 0.2 % (both p = 0.004) of the prescribed dose. No dosimetric differences were observed for the OAR, except for the penile bulb.
Conclusions: We concluded that anatomical change and dosimetric differences, originating from scanning without CB were minor. The CB can thereby be removed from the workflow, enabling easier patient positioning and increased SNR when using lightweight coils.
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http://dx.doi.org/10.1016/j.phro.2023.100433 | DOI Listing |
Phys Imaging Radiat Oncol
January 2025
Background And Purpose: The development of Magnetic Resonance Imaging (MRI)-only Radiotherapy (RT) represents a significant advancement in the field. This study introduces a Deep Learning (DL) algorithm designed to quickly generate synthetic CT (sCT) images from low-field MR images in the brain, an area not yet explored.
Methods: Fifty-six patients were divided into training (32), validation (8), and test (16) groups.
Z Med Phys
February 2025
Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Vienna, Austria; Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Background: In magnetic resonance (MR)-only radiotherapy (RT) workflows, synthetic computed tomography images (sCT) are needed as a surrogate for a dose calculation. Commercial and certified sCT algorithms became recently available, but many have not been evaluated in a clinical setting, especially in the head and neck tumor (HN) region. In this study, an MRI-only workflow using a commercial sCT generator for photon beam therapy in brain and HN body sites was evaluated in terms of dose calculation accuracy, modelling of immobilization devices, as well as usability for autosegmentation.
View Article and Find Full Text PDFPhys Med Biol
February 2025
German Cancer Research Center (DKFZ), Division of Medical Physics in Radiation Oncology, Heidelberg, Germany.
This study investigates the effects of various training protocols on enhancing the precision of MRI-only Pseudo-CT generation for radiation treatment planning and adaptation in head & neck cancer patients. It specifically tackles the challenge of differentiating bone from air, a limitation that frequently results in substantial deviations in the representation of bony structures on Pseudo-CT images.The study included 25 patients, utilizing pre-treatment MRI-CT image pairs.
View Article and Find Full Text PDFRadiother Oncol
February 2025
Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands. Electronic address:
Background & Purpose: Deep learning (DL) based auto-segmentation has shown to be beneficial for online adaptive radiotherapy (OART). However, auto-segmentation of clinical target volumes (CTV) is complex, as clinical interpretations are crucial in their definition. The resulting variation between clinicians and institutes hampers the generalizability of DL networks.
View Article and Find Full Text PDFBrachytherapy
January 2025
Department of Oncology and Radiotherapy, University Hospital and Medical Faculty, Hradec Králové, Czech Republic.
Purpose: MRI-only adaptive brachytherapy (MRI-ABT) is the state-of-the-art for treating locally advanced cervical cancer (LACC) in combination with concurrent chemoradiotherapy. We aimed to evaluate the pattern of pelvic recurrence after the treatment.
Material And Methods: A total of one hundred LACC patients were treated between January 2017 and December 2023 with concurrent chemoradiotherapy of 45 Gy in 25 fractions ± boost to lymphadenopathy (up to a maximum dose of 60 Gy in 25 fractions) with concurrent weekly cisplatin chemotherapy at the dose of 40 mg/m/week, and MR-ABT.
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