Radiomics in breast cancer classification and prediction
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …
usually performed through different imaging modalities such as mammography, magnetic …
[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
[HTML][HTML] Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review
Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …
reliability are also raised. This review attempts to update and overview the current status of …
[HTML][HTML] Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to …
L Fournier, L Costaridou, L Bidaut, N Michoux… - European …, 2021 - Springer
Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …
characteristics and follow a well-understood path of technical, biological and clinical …
Radiomics beyond the hype: a critical evaluation toward oncologic clinical use
Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …
of quantitative high-dimensional data from medical images. Radiomics has the potential to …
[HTML][HTML] Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events
Radiomics, quantitative feature extraction from radiological images, can improve disease
diagnosis and prognostication. However, radiomic features are susceptible to image …
diagnosis and prognostication. However, radiomic features are susceptible to image …
[HTML][HTML] Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer
J Wong, M Baine, S Wisnoskie, N Bennion, D Zheng… - Scientific reports, 2021 - nature.com
Radiomics is a method to mine large numbers of quantitative imaging features and develop
predictive models. It has shown exciting promise for improved cancer decision support from …
predictive models. It has shown exciting promise for improved cancer decision support from …
Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer
Objectives To analyze whether CT image normalization can improve 3-year recurrence-free
survival (RFS) prediction performance in patients with non-small cell lung cancer (NSCLC) …
survival (RFS) prediction performance in patients with non-small cell lung cancer (NSCLC) …
[HTML][HTML] Radiomic biomarkers of tumor immune biology and immunotherapy response
Immunotherapies are leading to improved outcomes for many cancers, including those with
devastating prognoses. As therapies like immune checkpoint inhibitors (ICI) become a …
devastating prognoses. As therapies like immune checkpoint inhibitors (ICI) become a …
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts
B Kocak, EA Kus, O Kilickesmez - European Radiology, 2021 - Springer
In recent years, there has been a dramatic increase in research papers about machine
learning (ML) and artificial intelligence in radiology. With so many papers around, it is of …
learning (ML) and artificial intelligence in radiology. With so many papers around, it is of …