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

Pathology Outlines - Carcinoma-general

Particle Illusion 3.02 Download - Colaboratory

from Flow Cytometry to Cytomics, Page 2

Multimodal analysis of cell-free DNA whole-methylome sequencing for cancer detection and localization

Pembrolizumab for Persistent, Recurrent, or Metastatic Cervical Cancer

Precision cancer medicine: Concepts, current practice, and future developments - Edsjö - 2023 - Journal of Internal Medicine - Wiley Online Library

Progress in cancer survival, mortality, and incidence in seven high-income countries 1995–2014 (ICBP SURVMARK-2): a population-based study - The Lancet Oncology

A Randomized Trial of Letrozole in Postmenopausal Women after Five Years of Tamoxifen Therapy for Early-Stage Breast Cancer

IJMS, Free Full-Text

PDF) Prognostic role of the systemic immune-inflammation index in biliary tract cancers: a meta-analysis of 3,515 patients

PD-1 Blockade in Mismatch Repair–Deficient, Locally Advanced Rectal Cancer

from Flow Cytometry to Cytomics, Page 2