We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Major Study Examines Endoscopies that Fail to Detect Esophageal Cancer

By HospiMedica International staff writers
Posted on 06 Nov 2025

Barrett’s esophagus—the only known precancerous condition for esophageal adenocarcinoma—develops when chronic acid reflux damages the esophageal lining. More...

Endoscopies are typically used to monitor such patients for precancerous or cancerous lesions. Now, new research suggests that even this gold-standard procedure can sometimes miss early-stage disease.

The study, conducted at the University of Colorado Cancer Center (Aurora, CO, USA), found that nearly one in four esophageal cancers may go undetected during an initial endoscopy. The findings, which have been accepted for publication in Clinical Gastroenterology and Hepatology, underline the urgent need to improve detection standards and quality metrics for endoscopic examinations.

The study analyzed data from 15,178 individuals newly diagnosed with Barrett’s esophagus between 2006 and 2020 in Finland and Sweden. Researchers found that 22% of cancers were classified as post-endoscopy esophageal cancers (PEECs)—diagnosed 30 days to one year after a negative endoscopy. An additional 18% were detected within 30 days of the initial exam, and 60% appeared more than a year later. Hospitals with higher initial detection rates had significantly fewer missed cancers, indicating that variability in examination quality plays a major role in diagnostic accuracy.

The researchers also identified several reasons for missed cancers, including inconsistent adherence to the Seattle biopsy protocol, inadequate inspection time of the Barrett’s segment, and difficulty recognizing subtle or flat lesions. They note that rapidly progressing cancers may still evade detection, even in high-quality exams.

The study calls for establishing quality benchmarks for upper endoscopy—similar to the “adenoma detection rate” used in colonoscopy—to measure how effectively physicians detect early esophageal changes. The researchers emphasize that high-quality examinations involve using advanced imaging, structured biopsy protocols, and sufficient inspection time for each case.

“Our findings highlight the importance of a high-quality endoscopic examination for patients when they get diagnosed with Barrett’s esophagus, including using the best endoscope available, spending adequate time inspected the Barrett’s segment, and ensuring that we take samples using a structured biopsy protocol,” said Sachin Wani, MD, a University of Colorado Cancer Center member who led the research.

Related Links:
University of Colorado Cancer Center


Gold Member
Neonatal Heel Incision Device
Tenderfoot
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Gold Member
Blood Gas Analyzer
i-Check200
Medical-Grade Display
HL2316SHTB
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image Credit: Adobe Stock

Emergency Department Campaign Reduces CT Use Without Identified Missed Injuries

Unnecessary head and cervical spine computed tomography (CT) in low-risk trauma patients exposes them to avoidable radiation, prolongs emergency department stays, and increases healthcare costs.... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.