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| http://dx.doi.org/10.1016/j.bpsc.2023.04.005 | DOI Listing |
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A unified deep-learning framework for enhanced patient-specific quality assurance of intensity-modulated radiation therapy plans.
Med Phys
December 2024
University Clinic for Medical Radiation Physics, Medical Campus Pius Hospital, Carl von Ossietzky University, Oldenburg, Germany.
Background: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT), use complex fluence modulation strategies to achieve optimal patient dose distribution. Ensuring their accuracy necessitates rigorous patient-specific quality assurance (PSQA), traditionally done through pretreatment measurements with detector arrays. While effective, these methods are labor-intensive and time-consuming.
View Article and Find Full Text PDFBackground: Adaptive radiotherapy (ART) involves the continuous adaptation of the radiation plan according to patient- and tumor-specific feedback. In online ART, the plan is optimized in real time during the treatment; in offline ART, the plan is recalculated between treatment sessions. Hybrid linear accelerators with integrated CT, MRI, or PET are required to perform online ART.
View Article and Find Full Text PDFA feasibility study of using virtual noncontrast images synthesized from dual-energy computed tomography for radiotherapy treatment planning.
Quant Imaging Med Surg
December 2024
Department of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Background: In the traditional computed tomography (CT) simulation process, patients need to undergo CT scans before and after injection of iodine-based contrast agent, resulting in a cumbersome workflow and additional imaging dose. Contrast-enhanced spectral CT can synthesize true contrast-enhanced (TCE) images and virtual noncontrast (VNC) images in a single scan without geometric misalignment. To improve work efficiency and reduce patients' imaging dose, we studied the feasibility of using VNC images for radiotherapy treatment planning, with true noncontrast (TNC) images as references and explored its dosimetric advantages compared to using TCE images.
View Article and Find Full Text PDFBone matching versus tumor matching in image-guided carbon ion radiotherapy for locally advanced non-small cell lung cancer.
Radiat Oncol
December 2024
Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Background And Purpose: This study evaluates the dosimetric impact of tumor matching (TM) and bone matching (BM) in carbon ion radiotherapy for locally advanced non-small cell lung cancer.
Materials And Methods: Forty patients diagnosed with locally advanced non-small cell lung cancer were included in this study. TM and BM techniques were employed for recalculation based on re-evaluation computed tomography (CT) images of the patients, resulting in the generation of dose distributions: Plan-T and Plan-B, respectively.
Demographic and Treatment Analysis of Periosteal Osteosarcoma.
Cancer Rep (Hoboken)
December 2024
Brody School of Medicine (BSOM), East Carolina University (ECU), Greenville, North Carolina, USA.
Background And Aims: Periosteal osteosarcoma (PO) is a rare bone cancer that makes up between 1% and 6% of osteosarcomas. No epidemiological survey of the United States has been conducted to study this disease, and most of the literature is limited to single-center analyses and case reports. We seek to perform the first such assessment.
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