Oncology ImagingArchives
Delta-radiomic features on diffusion-weighted MRI before and after concurrent chemoradiotherapy in locally aggressive cervical cancer: an exploratory study
Oncology Imaging 1 min.
The of this study was to explore the association between radiomic features changes extracted from MRI before and after concurrent chemoradiotherapy (CCRT) and disease recurrence, as well as disease-free survival, in patients with locally advanced cervical cancer. Materials and methods: Thirty-seven...
MRI-based quantification of intratumoral heterogeneity for predicting recurrence risk in ER+/HER2- breast cancer
Oncology Imaging 1 min.
The need for a cost-effective, rapid, and increasingly accessible alternative to the 21-gene assay prompted this study, which developed a novel MRI-based intratumoral heterogeneity score (ITHscore) to quantify tumor heterogeneity and integrated it with radiomic and clinical features to predict the 21-gene...
Evaluating transfer learning for brain tumor MRI classification: frozen VGG16 feature extraction versus end-to-end CNN training
Oncology Imaging 1 min.
To quantitatively compare end-to-end training of a convolutional neural network (CNN) with transfer learning using a frozen VGG16 feature extractor for multiclass brain tumor classification on contrast-enhanced magnetic resonance (MR) images. Methods: A publicly available dataset of 6,056 contrast-enhanced...
18F-FDG PET/CT and MRI findings of an atypical glomus tumor of the thoracic spine: a rare case report
Oncology Imaging 1 min.
Glomus tumors (glomangiomas) are rare mesenchymal neoplasms derived from modified smooth muscle cells of the glomus body. Since they most commonly occur in the subungual regions of the extremities, primary involvement of the spine is exceedingly rare, particularly in atypical variants with borderline...
