AIMC Topic: Feasibility Studies

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Feasibility/clinical utility of half-Fourier single-shot turbo spin echo imaging combined with deep learning reconstruction in gynecologic magnetic resonance imaging.

Abdominal radiology (New York) Dec 18, 2024
BACKGROUND: When antispasmodics are unavailable, the periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER; called BLADE by Siemens Healthineers) or half Fourier single-shot turbo spin echo (HASTE) is clinically used...
Humans Retrospective Studies Female Magnetic Resonance Imaging Feasibility Studies Image Interpretation, Computer-Assisted Artifacts Fourier Analysis Aged Adult Middle Aged Deep Learning
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Feasibility of Sub-milliSievert Low-dose Computed Tomography with Deep Learning Image Reconstruction in Evaluating Pulmonary Subsolid Nodules: A Prospective Intra-individual Comparison Study.

Academic radiology Dec 13, 2024
RATIONALE AND OBJECTIVES: To comprehensively assess the feasibility of low-dose computed tomography (LDCT) using deep learning image reconstruction (DLIR) for evaluating pulmonary subsolid nodules, which are challenging due to their susceptibility to...
Male Middle Aged Deep Learning Lung Neoplasms Feasibility Studies Radiation Dosage Signal-To-Noise Ratio Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Aged Adult Humans Prospective Studies
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Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

Radiography (London, England : 1995) Dec 11, 2024
INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted MR imaging (DWI) using deep learning reconstruction (DLR) compared to navigator triggered (NT) DWI in patients with malignant liver tumors.
Liver Neoplasms Liver Feasibility Studies Aged, 80 and over Diffusion Magnetic Resonance Imaging Signal-To-Noise Ratio Humans Image Interpretation, Computer-Assisted Adult Male Breath Holding Retrospective Studies Female Middle Aged Aged Deep Learning
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Hemothorax Ablation Techniques Pneumothorax Hemoptysis Treatment Outcome Predictive Value of Tests Natural Language Processing Male Feasibility Studies Middle Aged Humans Microwaves Time Factors Retrospective Studies Recurrence Lung Neoplasms Neoplasm Recurrence, Local Large Language Models Data Mining Electronic Health Records Female Reproducibility of Results Aged
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Application of task-autonomous dental robot for lateral window preparation in the maxillary sinus.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Dec 6, 2024
The study aimed to investigate the feasibility and accuracy of task-autonomous dental robots for lateral window preparation in the maxillary sinus, as well as to propose 3 indexes for assessing the accuracy of lateral window preparation. Twenty 1:1 r...
Humans Cone-Beam Computed Tomography Robotics Robotic Surgical Procedures Feasibility Studies Maxillary Sinus
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Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

Journal of applied clinical medical physics Dec 6, 2024
BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiotherapy. Many times, it is faced that despite rigorous exercise and training, not all patients get bene...
Female Adult Breast Neoplasms Middle Aged Heart Humans Algorithms Radiotherapy Dosage Feasibility Studies Radiotherapy, Intensity-Modulated Supervised Machine Learning Breath Holding Organs at Risk Unilateral Breast Neoplasms Radiotherapy Planning, Computer-Assisted
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Feasibility of classification of drainage and river water quality using machine learning methods based on multidimensional data from a gas sensor array.

Annals of agricultural and environmental medicine : AAEM Dec 2, 2024
OBJECTIVE: The aim of the study is to verify whether the electronic nose system - an array of 17 gas sensors with a signal analysis system - is a useful tool for the classification and preliminary assessment of the quality of drainage water.
Gases Electronic Nose Poland Feasibility Studies Environmental Monitoring Neural Networks, Computer Water Quality Machine Learning Rivers
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Evaluating the dosimetric impact of deep-learning-based auto-segmentation in prostate cancer radiotherapy: Insights into real-world clinical implementation and inter-observer variability.

Journal of applied clinical medical physics Dec 1, 2024
PURPOSE: This study aimed to investigate the dosimetric impact of deep-learning-based auto-contouring for clinical target volume (CTV) and organs at risk (OARs) delineation in prostate cancer radiotherapy planning. Additionally, we compared the geome...
Radiotherapy, Intensity-Modulated Humans Radiometry Retrospective Studies Organs at Risk Tomography, X-Ray Computed Prostatic Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Male Prostate Imaging, Three-Dimensional Observer Variation Feasibility Studies Radiotherapy Dosage
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Assessment of clinical feasibility:offline adaptive radiotherapy for lung cancer utilizing kV iCBCT and UNet++ based deep learning model.

Journal of applied clinical medical physics Nov 29, 2024
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) addresses uncertainties due to lung tumor dynamics. We aimed to investigate a comprehensively and systematically validated offline ART regimen with high ...
Lung Neoplasms Feasibility Studies Female Middle Aged Radiotherapy Dosage Organs at Risk Humans Deep Learning Aged Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Male Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Clinical feasibility of a deep learning approach for conventional and synthetic diffusion-weighted imaging in breast cancer: Qualitative and quantitative analyses.

European journal of radiology Nov 27, 2024
PURPOSE: In this study, we aimed to investigate the clinical feasibility of deep learning (DL)-based reconstruction applied to conventional diffusion-weighted imaging (cDWI) and synthetic diffusion-weighted imaging (sDWI) by comparing the DL reconstr...
Adult Breast Humans Diffusion Magnetic Resonance Imaging Feasibility Studies Breast Neoplasms Retrospective Studies Image Interpretation, Computer-Assisted Middle Aged Female Signal-To-Noise Ratio Deep Learning Aged
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