Session V: Molecular Screening; Imaging; Artificial Intelligence
FULL ABSTRACTS AVAILABLE SATURDAY JULY 4
The authors conclude that they have managed to reduce the number of people they need to screen by more than a half. Now a full case-control study is needed (with a longer, more up-to-date prediagnostic period, use of "population-based controls" and a stratified analysis based on clinical status such as smoking & diabetes). The model should be applied "in real-time" to test its performance and there should also be an economic evaluation of cost-effectiveness.
The authors identified baseline MRI features most notably ADC CoV, with the potential to improve prognostic accuracy of standard imaging evaluation, in addition to clinical variables such as T and N stage.
The authors conclude that they successfully generated a proto prediction radiomic model for P-dis of GC. They would further refine the analytic process and generalize its accuracy by adopting the external validation cohort of GC with P-dis which could not be detected by the imaging examinations routinely used in daily practice.
The authors conclude that CD24 expression in PBLs may serve as a universal blood test for the early detection of numerous cancers. It is the first-ever blood test to detect adenomas. CD24 can identify family members that are at increased risk for cancer. The test may serve as a novel predictive marker in cancer therapy. The authors conclude that obviously the test must be validated in a prospective multi-center study.