The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The staging diagnosis of multiple myeloma is conducive to the treatment of patients and can improve the survival rate of patients. In particular, the early diagnosis of multiple myeloma is more helpful to the cure of patients. However, multiple myeloma has a slow onset. Due to no obvious symptoms in the early stage, it is easily misdiagnosed. Recently, convolutional neural networks (CNNs) have been...
Background
Radiomics has shown promising results in the diagnosis, efficacy, and prognostic assessments of multiple myeloma (MM). However, little evidence exists on the utility of radiomics in predicting a high‐risk cytogenetic (HRC) status in MM.
Purpose
To develop and test a magnetic resonance imaging (MRI)‐based radiomics model for predicting an HRC status in MM patients.
Study Type
Retrospective...