GI Oncology
Conference Coverage
Artificial intelligence colonoscopy system shows promise
A new artificial intelligence colonoscopy system improved the accuracy of experienced endoscopists in the United States.
From the Journals
AGA issues position statements on reducing CRC burden
Some changes are already underway, but it will “take a village” to get to 80% screening rates, including national resources and approaches.
News
AI-based CADe outperforms high-definition white light in colonoscopy
Computer-assisted detection has the potential to decrease interprovider variability by reducing AMR, even in experienced providers.
From the Journals
At-home colorectal cancer testing and follow-up vary by ethnicity
Researchers examined disparities by patient ethnicity in colorectal cancer test ordering by physicians and follow-up colonoscopy rates.
From the Journals
Esophageal cancer screening isn’t for everyone: Study
A new cost-effectiveness analysis study suggests that the optimal endoscopic screening strategy for esophageal adenocarcinoma varies by race and...
The Practicing Oncologist
Case study: Managing venous thromboembolism in the cancer patient
Cancer patients undergoing treatment for metastatic disease are at increased risk for VTE.
Conference Coverage
Alarming increase in esophageal cancer in middle-aged adults
The prevalence of esophageal cancer and Barrett’s esophagus has increased substantially among middle-age adults over the past 5 years, warn the...
Conference Coverage
CRC screening: Blood test accuracy compared to colonoscopy
At 90% specificity, the blood assay (Guardant Health) was 100% sensitive for detecting CRC.
From the Journals
Early-onset colon cancer projected to double by 2030
Increase in cases among younger patients may be attributable to steady diets consisting of sugary processed foods.
News
Noninvasive esophageal cancer screening approaches may reach more at-risk patients
Noninvasive approaches have lower sensitivity and specificity than endoscopic screening, but greater access could make them cost effective.
From the Journals
Deep learning system outmatches pathologists in diagnosing liver lesions
The system could eventually be used to optimize accuracy and efficiency of histologic diagnoses, potentially decreasing reliance on pathologists...