AIMC Topic: Abdominal Neoplasms

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Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen.

Medical physics Dec 19, 2024
BACKGROUND: Manual contour corrections during fractionated magnetic resonance (MR)-guided radiotherapy (MRgRT) are time-consuming. Conventional population models for deep learning auto-segmentation might be suboptimal for MRgRT at MR-Linacs since the...
Humans Precision Medicine Male Deep Learning Automation Dose Fractionation, Radiation Abdominal Neoplasms Radiotherapy, Image-Guided Image Processing, Computer-Assisted Abdomen Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted
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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.
Humans Phantoms, Imaging Abdominal Neoplasms Radiotherapy, Image-Guided Feasibility Studies Radiographic Image Enhancement Male Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Algorithms Pelvic Neoplasms Prospective Studies Radiotherapy Dosage Tomography, X-Ray Computed Radiotherapy, Intensity-Modulated Female
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Enhancing Precision in Cardiac Segmentation for Magnetic Resonance-Guided Radiation Therapy Through Deep Learning.

International journal of radiation oncology, biology, physics May 24, 2024
PURPOSE: Cardiac substructure dose metrics are more strongly linked to late cardiac morbidities than to whole-heart metrics. Magnetic resonance (MR)-guided radiation therapy (MRgRT) enables substructure visualization during daily localization, allowi...
Retrospective Studies Male Deep Learning Thoracic Neoplasms Humans Radiotherapy Dosage Abdominal Neoplasms Radiotherapy, Image-Guided Magnetic Resonance Imaging Heart Organs at Risk Radiotherapy Planning, Computer-Assisted
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Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.

Physics in medicine and biology Jun 15, 2023
. In the current MR-Linac online adaptive workflow, air regions on the MR images need to be manually delineated for abdominal targets, and then overridden by air density for dose calculation. Auto-delineation of these regions is desirable for speed p...
Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Abdominal Neoplasms Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Deep-learning-based image reconstruction in dynamic contrast-enhanced abdominal CT: image quality and lesion detection among reconstruction strength levels.

Clinical radiology Apr 18, 2021
AIM: To evaluate the use of deep-learning-based image reconstruction (DLIR) algorithms in dynamic contrast-enhanced computed tomography (CT) of the abdomen, and to compare the image quality and lesion conspicuity among the reconstruction strength lev...
Radiographic Image Interpretation, Computer-Assisted Abdominal Neoplasms Radiographic Image Enhancement Radiography, Abdominal Male Middle Aged Deep Learning Contrast Media Aged Aged, 80 and over Adult Humans Prospective Studies Tomography, X-Ray Computed Female
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DeepDose: a robust deep learning-based dose engine for abdominal tumours in a 1.5 T MRI radiotherapy system.

Physics in medicine and biology Mar 9, 2021
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator seg...
Humans Neural Networks, Computer Reproducibility of Results Radiotherapy, Intensity-Modulated Monte Carlo Method Abdominal Neoplasms Particle Accelerators Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Neoplasm Metastasis Radiotherapy Dosage Male Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms
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Deep learning prediction of proton and photon dose distributions for paediatric abdominal tumours.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 29, 2020
OBJECTIVE: Dose prediction using deep learning networks prior to radiotherapy might lead tomore efficient modality selections. The study goal was to predict proton and photon dose distributions based on the patient-specific anatomy and to assess thei...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Abdominal Neoplasms Proton Therapy Protons Deep Learning Child Humans Organs at Risk Radiotherapy Planning, Computer-Assisted
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Deep learning-enabled MRI-only photon and proton therapy treatment planning for paediatric abdominal tumours.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 7, 2020
PURPOSE: To assess the feasibility of magnetic resonance imaging (MRI)-only treatment planning for photon and proton radiotherapy in children with abdominal tumours.
Radiotherapy Dosage Abdominal Neoplasms Proton Therapy Child, Preschool Child Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Humans Deep Learning
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Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.

Physics in medicine and biology Aug 7, 2020
To enable magnetic resonance imaging (MRI)-guided radiotherapy with real-time adaptation, motion must be quickly estimated with low latency. The motion estimate is used to adapt the radiation beam to the current anatomy, yielding a more conformal dos...
Time Factors Radiotherapy, Image-Guided Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging, Cine Abdominal Neoplasms Movement Retrospective Studies Deep Learning
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A convolutional neural network-based system to classify patients using FDG PET/CT examinations.

BMC cancer Mar 17, 2020
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly ...
Abdominal Neoplasms Adult Humans Female Head and Neck Neoplasms Neural Networks, Computer Male Aged Positron Emission Tomography Computed Tomography Artificial Intelligence Middle Aged Aged, 80 and over Fluorodeoxyglucose F18 Thoracic Neoplasms Young Adult Pelvic Neoplasms
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