Oncology ImagingArchives
Tamoxifen-loaded TPGS-PLGA nanoplatform for breast cancer therapy: insights into drug delivery, distribution, treatment efficacy, and ultrasound/photoacoustic imaging
Oncology Imaging 1 min.
The of the present study was to develop and characterize tamoxifen (TAM)-loaded TPGS-PLGA nanoparticles (NPs) for more effective breast cancer treatment than conventional therapy. TAM@TPGS-PLGA-NPs were developed using the emulsion-solvent evaporation method. Furthermore, various physicochemical characterizations...
Dosimetric comparison of scanned proton therapy and volumetric modulated arc therapy in isodose-prescribed stereotactic body radiotherapy for lung cancer
Oncology Imaging 1 min.
This study evaluated the feasibility of pencil beam scanning (PBS) proton therapy for stereotactic body radiotherapy using an isodose prescription in patients with isolated early-stage lung cancer, comparing dose-volume metrics with those of volumetric modulated arc therapy (VMAT). Treatment plans were...
ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer
Oncology Imaging 1 min.
Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that...
A rare primary mediastinal mesenchymal tumor diagnosed by endobronchial ultrasound (EBUS)
Oncology Imaging 2 min.
Mesenchymal tumors of the mediastinum are exceedingly rare, accounting for only approximately 2–6% of all mediastinal neoplasms [1]. Except for certain exceptions, mediastinal soft tissue tumors display histological and molecular features largely analogous to those of their counterparts in other...
Machine learning-DeepSurv prediction model integrating mpMRI radiomics and genomic biomarkers for BCR-free survival and tumor response in prostate radiotherapy
Oncology Imaging 1 min.
The purpose of this study was to design a radiogenomics machine learning-DeepSurv model for biochemical recurrence-free (BCR-free) survival and treatment response (TR) prediction for radiotherapy (RT) of prostate cancer (PCa). In this study, radiomic features were extracted from pre and post treatment...
