The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights
Filters are commonly used to enhance specific structures and patterns in images, such as
vessels or peritumoral regions, to enable clinical insights beyond the visible image using …
vessels or peritumoral regions, to enable clinical insights beyond the visible image using …
A review of radiomics and genomics applications in cancers: the way towards precision medicine
S Li, B Zhou - Radiation Oncology, 2022 - Springer
The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …
Radiogenomics combines large volumes of radiomic features from medical digital images …
Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? A systematic review
L Wu, X Lou, N Kong, M Xu, C Gao - European Radiology, 2023 - Springer
Objectives To provide an overarching evaluation of the value of peritumoral CT radiomics
features for predicting the prognosis of non-small cell lung cancer and to assess the quality …
features for predicting the prognosis of non-small cell lung cancer and to assess the quality …
Radiological artificial intelligence-predicting personalized immunotherapy outcomes in lung cancer
LC Roisman, W Kian, A Anoze, V Fuchs… - NPJ Precision …, 2023 - nature.com
Personalized medicine has revolutionized approaches to treatment in the field of lung
cancer by enabling therapies to be specific to each patient. However, physicians encounter …
cancer by enabling therapies to be specific to each patient. However, physicians encounter …
[PDF][PDF] Development and multicenter validation of a novel radiomics-based model for identifying eosinophilic chronic rhinosinusitis with nasal polyps
KZ Zhu, C He, Z Li, PJ Wang, SX Wen, KX Wen… - …, 2023 - researchgate.net
Background: Reliable noninvasive methods are needed to identify endotypes of chronic
rhinosinusitis with nasal polyps (CRSwNP) to facilitate personalized therapy. Previous …
rhinosinusitis with nasal polyps (CRSwNP) to facilitate personalized therapy. Previous …
Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data …
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
An automated method for artifical intelligence assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images
The aim of this study was to develop and validate an automated pipeline that could assist
the diagnosis of active aortitis using radiomic imaging biomarkers derived from [18F] …
the diagnosis of active aortitis using radiomic imaging biomarkers derived from [18F] …
Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in …
Purpose: Sarcopenia is considered a negative prognostic factor in patients with malignant
tumors. Among other diagnostic options, computed tomography (CT), which is repeatedly …
tumors. Among other diagnostic options, computed tomography (CT), which is repeatedly …
Predictive value of radiomic features extracted from primary lung adenocarcinoma in forecasting thoracic lymph node metastasis: a systematic review and meta …
T Wu, C Gao, X Lou, J Wu, M Xu, L Wu - BMC Pulmonary Medicine, 2024 - Springer
Background The application of radiomics in thoracic lymph node metastasis (LNM) of lung
adenocarcinoma is increasing, but diagnostic performance of radiomics from primary tumor …
adenocarcinoma is increasing, but diagnostic performance of radiomics from primary tumor …
Prediction of early improvement of major depressive disorder to antidepressant medication in adolescents with radiomics analysis after ComBat harmonization based …
H Ma, D Zhang, Y Wang, Y Ding, J Yang, K Li - BMC psychiatry, 2023 - Springer
Background Due to individual differences and lack of objective biomarkers, only 30-40%
patients with major depressive disorder (MDD) achieve remission after initial antidepressant …
patients with major depressive disorder (MDD) achieve remission after initial antidepressant …