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Radiomics

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Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.

Journal of applied clinical medical physics Mar 4, 2024
PURPOSE: Predicting recurrence following stereotactic body radiotherapy (SBRT) for non-small cell lung cancer provides important information for the feasibility of the individualized radiotherapy and allows to select the appropriate treatment strateg...
Neoplasm Recurrence, Local Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Lung Neoplasms Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Radiosurgery Female Machine Learning Aged Algorithms Aged, 80 and over Radiomics Prognosis Male Retrospective Studies Middle Aged Image Processing, Computer-Assisted Humans
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Comment on "Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics".

Journal of medical ultrasonics (2001) Mar 2, 2024
Risk Assessment Humans Ultrasonography Machine Learning Gastrointestinal Neoplasms Radiomics Gastrointestinal Stromal Tumors
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Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis.

Journal of imaging informatics in medicine Feb 29, 2024
This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Af...
Female Crohn Disease Young Adult Humans Male Tuberculosis, Gastrointestinal Retrospective Studies Adult Middle Aged Tomography, X-Ray Computed Radiomics Deep Learning Diagnosis, Differential
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Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.

Journal of computer assisted tomography Feb 27, 2024
OBJECTIVE: The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep lea...
Male Imaging, Three-Dimensional Female Humans Aged Middle Aged Prognosis Nomograms Adult Deep Learning Radiomics Retrospective Studies Head and Neck Neoplasms Positron Emission Tomography Computed Tomography
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Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes.

Journal of magnetic resonance imaging : JMRI Feb 23, 2024
BACKGROUND: Different placenta accreta spectrum (PAS) subtypes pose varying surgical risks to the parturient. Machine learning model has the potential to diagnose PAS disorder.
Humans Retrospective Studies Placenta Accreta Placenta Previa Radiomics Pregnancy Deep Learning Female ROC Curve Adult Magnetic Resonance Imaging
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Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis.

Nuclear medicine communications Feb 19, 2024
METHODS: 18F-FDG brain PET and clinical score were collected in 85 patients with dementia and 125 healthy controls (HC). Patients were assigned to various form of dementia on the basis of clinical evaluation, follow-up and voxels comparison with HC u...
Brain Radiomics Deep Learning Dementia Humans Positron-Emission Tomography Fluorodeoxyglucose F18
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Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.

Clinical radiology Feb 13, 2024
AIM: To explore the potential of utilising radiomics analysis and machine-learning models that incorporate intratumoural and peritumoural regions of interest (ROIs) for predicting brain metastasis (BM) in newly diagnosed lung cancer patients.
Brain Neoplasms Male Middle Aged Lung Neoplasms Predictive Value of Tests Female Aged Adult Radiomics Brain Humans Retrospective Studies Machine Learning Tomography, X-Ray Computed
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Erratum to "MO-11.2 - Explainable artificial intelligence applied to machine learning for radiomics" [Physica Medica 115S1 (2023) 102870].

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 9, 2024
Humans Artificial Intelligence Machine Learning Radiomics Image Processing, Computer-Assisted
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Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.

European radiology Feb 8, 2024
OBJECTIVES: Anti-HER2 targeted therapy significantly reduces risk of relapse in HER2 + breast cancer. New measures are needed for a precise risk stratification to guide (de-)escalation of anti-HER2 strategy.
Trastuzumab Risk Assessment Deep Learning Treatment Outcome Humans Adult Breast Neoplasms Antibodies, Monoclonal, Humanized Retrospective Studies Radiomics Magnetic Resonance Imaging Female Middle Aged Antineoplastic Agents, Immunological Aged Receptor, ErbB-2
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Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.

Journal of cancer research and clinical oncology Feb 5, 2024
PURPOSE: Bone metastasis is a significant contributor to morbidity and mortality in advanced prostate cancer, and early diagnosis is challenging due to its insidious onset. The use of machine learning to obtain prognostic information from pathologica...
Retrospective Studies Radiomics Male Deep Learning Humans Algorithms Magnetic Resonance Imaging Bone Neoplasms Prostatic Neoplasms
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