AIMC Topic: Radiomics

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Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3.

BMC gastroenterology Aug 5, 2024
BACKGROUND: This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures, and clinical variables to accurately preoperatively differentiate between stage T2 and T3 rectal cancer.
Support Vector Machine Magnetic Resonance Imaging Decision Trees Neoplasm Staging Rectal Neoplasms Preoperative Period Radiomics Male Middle Aged Deep Learning Logistic Models Retrospective Studies Female Aged Adult Humans
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Effect of Deep Learning Image Reconstruction Algorithms on Radiomic Features of Pulmonary Nodules in Ultra-Low-Dose CT.

Journal of computer assisted tomography Aug 2, 2024
OBJECTIVE: The purpose of this study is to explore the impact of deep learning image reconstruction (DLIR) algorithm on the quantification of radiomic features in ultra-low-dose computed tomography (ULD-CT) compared with adaptive statistical iterativ...
Adult Radiomics Male Middle Aged Lung Tomography, X-Ray Computed Female Reproducibility of Results Aged Radiation Dosage Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Retrospective Studies
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Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 1, 2024
OBJECTIVES: The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learning approach in cervical adenocarcinoma (AC) have not been explored. Herein, we aim to develop prognosis-predictive models based on MRI-radiomics and cl...
Humans Prognosis Retrospective Studies Female Neoplasm Staging Middle Aged Deep Learning Adenocarcinoma Lymphatic Metastasis Magnetic Resonance Imaging Aged Adult Radiomics Uterine Cervical Neoplasms
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Development of a CT-Based comprehensive model combining clinical, radiomics with deep learning for differentiating pulmonary metastases from noncalcified pulmonary hamartomas: a retrospective cohort study.

International journal of surgery (London, England) Aug 1, 2024
BACKGROUND: Clinical differentiation between pulmonary metastases and noncalcified pulmonary hamartomas (NCPH) often presents challenges, leading to potential misdiagnosis. However, the efficacy of a comprehensive model that integrates clinical featu...
Lung Diseases Hamartoma Deep Learning ROC Curve Lung Neoplasms Humans Retrospective Studies Diagnosis, Differential Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged
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MRI-based deep learning and radiomics for prediction of occult cervical lymph node metastasis and prognosis in early-stage oral and oropharyngeal squamous cell carcinoma: a diagnostic study.

International journal of surgery (London, England) Aug 1, 2024
INTRODUCTION: The incidence of occult cervical lymph node metastases (OCLNM) is reported to be 20-30% in early-stage oral cancer and oropharyngeal cancer. There is a lack of an accurate diagnostic method to predict occult lymph node metastasis and to...
Humans Prognosis Retrospective Studies Lymphatic Metastasis Magnetic Resonance Imaging Radiomics Neoplasm Staging Deep Learning Mouth Neoplasms Lymph Nodes Oropharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Neck
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Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 31, 2024
PURPOSE: This study investigated imaging biomarkers derived from PSMA-PET acquired pre- and post-metastasis-directed therapy (MDT) to predict 2-year metastasis-free survival (MFS), which provides valuable early response assessment to improve patient ...
Prostatic Neoplasms Humans Neoplasm Metastasis Machine Learning Radiomics Radiosurgery Aged Male Antigens, Surface Middle Aged Aged, 80 and over Glutamate Carboxypeptidase II Positron Emission Tomography Computed Tomography
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CT-based deep learning radiomics biomarker for programmed cell death ligand 1 expression in non-small cell lung cancer.

BMC medical imaging Jul 31, 2024
BACKGROUND: Programmed cell death ligand 1 (PD-L1), as a reliable predictive biomarker, plays an important role in guiding immunotherapy of lung cancer. To investigate the value of CT-based deep learning radiomics signature to predict PD-L1 expressio...
Area Under Curve Radiomics Biomarkers, Tumor ROC Curve Male Humans Lung Neoplasms Middle Aged Retrospective Studies B7-H1 Antigen Deep Learning Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Female Aged
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The impact of high-order features on performance of radiomics studies in CT non-small cell lung cancer.

Clinical imaging Jul 30, 2024
High-order radiomic features have been shown to produce high performance models in a variety of scenarios. However, models trained without high-order features have shown similar performance, raising the question of whether high-order features are wor...
Male Female Radiographic Image Interpretation, Computer-Assisted Middle Aged Humans Lung Neoplasms Aged Machine Learning Aged, 80 and over Carcinoma, Non-Small-Cell Lung Retrospective Studies Adult Tomography, X-Ray Computed Radiomics
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Development and validation of a machine learning-based F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival.

Cancer imaging : the official publication of the International Cancer Imaging Society Jul 30, 2024
BACKGROUND: Survival prognosis of patients with gastric cancer (GC) often influences physicians' choice of their follow-up treatment. This study aimed to develop a positron emission tomography (PET)-based radiomics model combined with clinical tumor-...
Female Aged Adult Stomach Neoplasms Radiomics Male Middle Aged Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Fluorodeoxyglucose F18 Humans Machine Learning Prognosis Retrospective Studies
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Computed tomography-based radiomics machine learning models for differentiating enchondroma and atypical cartilaginous tumor in long bones.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jul 29, 2024
To explore the value of CT-based radiomics machine learning models for differentiating enchondroma from atypical cartilaginous tumor (ACT) in long bones and methods to improve model performance.59 enchondromas and 53 ACTs in long bones confirmed by p...
Adult Radiomics Child Male Humans Retrospective Studies Bone Neoplasms Tomography, X-Ray Computed Machine Learning Middle Aged Diagnosis, Differential Female Algorithms Adolescent Chondroma Aged Young Adult
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