AIMC Topic: Radiotherapy, Intensity-Modulated

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A deep learning-informed interpretation of why and when dose metrics outside the PTV can affect the risk of distant metastasis in SBRT NSCLC patients.

Radiation oncology (London, England) Sep 27, 2024
PURPOSE: Recent papers suggested a correlation between the risk of distant metastasis (DM) and dose outside the PTV, though conclusions in different publications conflicted. This study resolves these conflicts and provides a compelling explanation of...
Radiotherapy Planning, Computer-Assisted Neoplasm Metastasis Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Humans Deep Learning Prognosis Lung Neoplasms Aged Female Carcinoma, Non-Small-Cell Lung Male Middle Aged
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Artificial intelligence (AI) applications in improvement of IMRT and VMAT radiotherapy treatment planning processes: A systematic review.

Radiography (London, England : 1995) Sep 24, 2024
INTRODUCTION: Radiotherapy is a common option in the treatment of many types of cancer. Intensity-Modulated Radiation Therapy (IMRT) and Volumetric-Modulated Arc Therapy (VMAT) are the latest radiotherapy techniques. However, clinicians face problems...
Humans Radiotherapy, Intensity-Modulated Artificial Intelligence Neoplasms Radiotherapy Planning, Computer-Assisted
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Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer.

Physics in medicine and biology Sep 20, 2024
. Previous methods for robustness evaluation rely on dose calculation for a number of uncertainty scenarios, which either fails to provide statistical meaning when the number is too small (e.g., ∼8) or becomes unfeasible in daily clinical practice wh...
Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Uncertainty Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Deep learning-based prediction of the dose-volume histograms for volumetric modulated arc therapy of left-sided breast cancer.

Medical physics Sep 18, 2024
BACKGROUND: The advancements in artificial intelligence and computational power have made deep learning an attractive tool for radiotherapy treatment planning. Deep learning has the potential to significantly simplify the trial-and-error process invo...
Breast Neoplasms Deep Learning Organs at Risk Humans Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Female Unilateral Breast Neoplasms Radiotherapy Dosage
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Nested CNN architecture for three-dimensional dose distribution prediction in tomotherapy for prostate cancer.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 16, 2024
BACKGROUND: The hypothesis of changing network layers to increase the accuracy of dose distribution prediction, instead of expanding their dimensions, which requires complex calculations, has been considered in our study.
Humans Neural Networks, Computer Male Radiotherapy, Intensity-Modulated Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Prognosis Humans Deep Learning Software Head and Neck Neoplasms Algorithms
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Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmentation confidence on a per-voxel basis without gold standard segmentations, enabling robust, efficient review of automated segmentation (AS). We have de...
Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Retrospective Studies Brain Neoplasms Deep Learning Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Algorithms
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Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: A blinded clinical study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 6, 2024
BACKGROUND AND PURPOSE: This study aimed to evaluate the plan quality of our deep learning-based automated treatment planning method for robustly optimized intensity-modulated proton therapy (IMPT) plans in patients with oropharyngeal carcinoma (OPC)...
Proton Therapy Oropharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Retrospective Studies Male Prospective Studies Female Middle Aged Aged Deep Learning
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Artificial intelligence-based motion tracking in cancer radiotherapy: A review.

Journal of applied clinical medical physics Aug 28, 2024
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk (OARs). Increasingly complex treatment techniques such as volumetric modulated arc therapy (VMAT), stereotactic radiosurgery (SRS), stereotactic body...
Radiotherapy Dosage Neoplasms Radiotherapy, Intensity-Modulated Humans Organs at Risk Movement Radiotherapy Planning, Computer-Assisted Artificial Intelligence Algorithms
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Non-coplanar CBCT image reconstruction using a generative adversarial network for non-coplanar radiotherapy.

Journal of applied clinical medical physics Aug 26, 2024
PURPOSE: To develop a non-coplanar cone-beam computed tomography (CBCT) image reconstruction method using projections within a limited angle range for non-coplanar radiotherapy.
Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Neural Networks, Computer Brain Neoplasms Algorithms Cone-Beam Computed Tomography Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Phantoms, Imaging Radiotherapy, Image-Guided
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