Joann G. Elmore, MD, MPH, on Cancer Diagnosis: When Pathologists Disagree, Artificial Intelligence May Help
AACR Annual Meeting 2021
Joann G. Elmore, MD, MPH, of the UCLA Fielding School of Public Health, discusses previous studies that show wide variability in cancer diagnoses, the uncertainties introduced by computer-aided detection tools, and new research on artificial intelligence and machine learning that may lead to more consistent and accurate diagnoses and prognoses, potentially improving treatment (Abstract SY01-03).
The ASCO Post Staff
Georgina V. Long, MD, PhD, of the Melanoma Institute Australia, University of Sydney, discusses results of the CheckMate 915 trial, which may reinforce nivolumab as an adjuvant standard of care in patients with stage IIIB–D/IV melanoma, with or without complete lymphadenectomy (Abstract CT004).
The ASCO Post Staff
Ralph R. Weichselbaum, MD, of the University of Chicago, discusses oligometastasis as a part of the metastatic spectrum where ablative therapies, such as surgery or stereotactic body radiotherapy, may be curative alone or with systemic agents, as well as some potential biomarkers to guide treatment selection.
The ASCO Post Staff
Jessica C. Hassel, MD, of University Hospital Heidelberg, discusses phase III results of a study that compared tebentafusp, a bispecific fusion protein, with investigator’s choice in patients with metastatic uveal melanoma. Tebentafusp nearly halved the risk of death among patients in the trial with this rare eye cancer (Abstract CT002).
The ASCO Post Staff
Richard S. Finn, MD, of UCLA Medical Center, discusses updated efficacy and safety data from the IMbrave150 trial of patients receiving atezolizumab plus bevacizumab vs sorafenib as first-line treatment for unresectable hepatocellular carcinoma (Abstract CT009).
The ASCO Post Staff
Carey K. Anders, MD, of the Duke Cancer Center, discusses the ways in which treatment of brain metastases arising from solid tumors has moved into a new era of patient care and how the field may advance.
