AIMC Topic: Radiotherapy, Intensity-Modulated

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Deep learning-based multiple-CT optimization: An adaptive treatment planning approach to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 23, 2024
BACKGROUNDS: Intensity-modulated proton therapy (IMPT) is particularly susceptible to range and setup uncertainties, as well as anatomical changes.
Humans Algorithms Retrospective Studies Deep Learning Cone-Beam Computed Tomography Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Proton Therapy Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Attention 3D UNET for dose distribution prediction of high-dose-rate brachytherapy of cervical cancer: Intracavitary applicators.

Journal of applied clinical medical physics Nov 15, 2024
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of brachytherapy poses challenges to clinicians. Deep learning based dose prediction methods have shown favorable solutions for enhancing efficiency, bu...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Retrospective Studies Female Uterine Cervical Neoplasms Deep Learning Imaging, Three-Dimensional Organs at Risk Radiotherapy Planning, Computer-Assisted Brachytherapy Humans Algorithms
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Abdominal Neoplasms Radiation Dosage Signal-To-Noise Ratio Pelvic Neoplasms Radiotherapy, Image-Guided Radiographic Image Enhancement Male Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Algorithms Prospective Studies Tomography, X-Ray Computed Female Humans
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Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

Physics in medicine and biology Nov 12, 2024
. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and proton range. Robust optimization is employed in IMPT treatment planning to ensure sufficient coverage of the clinical target volume (CTV) in predefined ...
Tomography, X-Ray Computed Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Humans Proton Therapy Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Clinical commissioning and introduction of an in-house artificial intelligence (AI) platform for automated head and neck intensity modulated radiation therapy (IMRT) treatment planning.

Journal of applied clinical medical physics Nov 6, 2024
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligence (AI) treatment planning platform for head-and-neck (HN) Intensity Modulated Radiation Therapy (IMRT).
User-Computer Interface Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Artificial Intelligence Algorithms
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Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation.

Journal of applied clinical medical physics Oct 14, 2024
PURPOSE: To explore the accuracy and feasibility of a proposed deep learning (DL) algorithm for clinical target volume (CTV) delineation in cervical cancer radiotherapy and evaluate whether it can perform well in external cervical cancer and endometr...
Female Aged Adult Uterine Cervical Neoplasms Neural Networks, Computer Algorithms Prognosis Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Endometrial Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Organs at Risk
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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...
Lung Neoplasms Aged Neoplasm Metastasis Humans Carcinoma, Non-Small-Cell Lung Radiotherapy Dosage Male Prognosis Radiotherapy Planning, Computer-Assisted Middle Aged Radiotherapy, Intensity-Modulated Female Deep Learning Radiosurgery
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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...
Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Humans Artificial Intelligence Neoplasms
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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...
Uncertainty Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Humans Deep Learning Head and Neck Neoplasms
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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...
Humans Radiotherapy Planning, Computer-Assisted Breast Neoplasms Female Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated Organs at Risk Unilateral Breast Neoplasms
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