Cancers, Free Full-Text

The use of multiparametric magnetic resonance imaging (mpMRI) has become a common technique used in guiding biopsy and developing treatment plans for prostate lesions. While this technique is effective, non-invasive methods such as radiomics have gained popularity for extracting imaging features to develop predictive models for clinical tasks. The aim is to minimize invasive processes for improved management of prostate cancer (PCa). This study reviews recent research progress in MRI-based radiomics for PCa, including the radiomics pipeline and potential factors affecting personalized diagnosis. The integration of artificial intelligence (AI) with medical imaging is also discussed, in line with the development trend of radiogenomics and multi-omics. The survey highlights the need for more data from multiple institutions to avoid bias and generalize the predictive model. The AI-based radiomics model is considered a promising clinical tool with good prospects for application.

Cancers, Free Full-Text

Neoadjuvant Nivolumab plus Chemotherapy in Resectable Lung Cancer

Sotorasib for Lung Cancers with KRAS p.G12C Mutation

Cancer Text Magic, PDF

Comprehensive Cancer Information - NCI

Adagrasib in Non–Small-Cell Lung Cancer Harboring a KRASG12C Mutation

Cancers, Free Full-Text

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries - Bray - 2018 - CA: A Cancer Journal for Clinicians - Wiley Online Library

6 versus 12 months of adjuvant trastuzumab for HER2-positive early breast cancer (PERSEPHONE): 4-year disease-free survival results of a randomised phase 3 non-inferiority trial - The Lancet

ROS in cancer therapy: the bright side of the moon

Journal of Cancer Research and Clinical Oncology

Cancers, Free Full-Text