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Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 28 ()

Deep learning (DL) models are increasingly studied to automate the process of radiotherapy treatment planning. This study evaluates the clinical use o......

Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 28 ()

Background and purpose: Accurate CT numbers in Cone Beam CT (CBCT) are crucial for precise dose calculations in adaptive radiotherapy (ART). This stud......

Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 27 ()

Background and purpose: Efficient workflows for adaptive proton therapy are of high importance. This study evaluated the possibility to replace repeat......

A strategy to reduce fraction number in peripheral lung stereotactic ablative body radiotherapy

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 26 ()

Background and purpose: Hypo-fractionated lung Stereotactic Ablative Body Radiotherapy (SABR) has often been avoided when tumours are close to the che......

A simple single-cycle interactive strategy to improve deep learning-based segmentation of organs-at-risk in head-and-neck cancer

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 26 ()

Background and purpose: Interactive segmentation seeks to incorporate human knowledge into segmentation models and thereby reducing the total amount o......

Estimation of the risk of secondary cancer in rectum and bladder after radiation therapy for prostate cancer using a feasibility dose-volume histogram

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 27 ()

We investigated the risk of secondary cancers in rectum and bladder for prostate cancer radiotherapy using a feasibility assessment tool. We calculate......

Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 28 ()

Background and Purpose: Addressing the need for accurate dose calculation in MRI-only radiotherapy, the generation of synthetic Computed Tomography (s......

Comparison of photon intensity modulated, hybrid and volumetric modulated arc radiation treatment techniques in locally advanced non-small cell lung cancer

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 28 ()

Background and purpose: There is no consensus on the best photon radiation technique for non-small cell lung cancer (NSCLC). This study quantified the......

Assessment of intra-fraction motion during frameless image guided Gamma Knife stereotactic radiosurgery

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 25 ()

As frameless stereotactic radiosurgery increase in use, the aim of this study was to evaluate intra-fraction motion through cone-beam CT (CBCT) and hi......

Evaluation of a complementary metal oxide semiconductor detector as a tool for stereotactic body radiotherapy plan quality assurance

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 25 ()

Background and purpose: A sub-mm resolution Complementary Metal Oxide Semiconductor sensor has been developed for stereotactic radiotherapy quality as......

Estimated dose to site of loco-regional recurrence after radiotherapy in anal cancer using point of origin methods

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 25 ()

Background and purpose: Loco-regional recurrence (LRR) dominates the failure pattern after curative radiotherapy in anal cancer. The aim of this study......

Cone beam computed tomography image guidance within a magnetic resonance imaging-only planning workflow

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 27 ()

Background and purpose: Magnetic Resonance Imaging (MRI)-only planning workflows offer many advantages but raises challenges regarding image guidance.......

Using density computed tomography images for photon dose calculations in radiation oncology: A patient study

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 27 ()

Background and purpose: Conventional workflows for dose calculations require conversions between Hounsfield Units (HU) and the mass or electron densit......

Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer

期刊: PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023; 28 ()

Background and purpose: Automation is desirable for organ segmentation in radiotherapy. This study compared deep learning methods for auto-segmentatio......

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