2017
DOI: 10.1055/s-0043-110076
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Gastric superficial neoplasia: high miss rate but slow progression

Abstract: Background and aims  Gastric superficial neoplasia (GSN) is often overlooked at endoscopy because of difficulty in identifying it. The miss rate of GSN at endoscopy and the impact on clinical outcome of the missed GSN have not been fully elucidated. In this study, we investigated these issues. Methods  Among 1462 endoscopically and pathologically diagnosed gastric cancers in our hospital from January 2011 to December 2014, previous records of esophagogastroduodenoscopy (EGD) were available for 198 lesions (ind… Show more

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Cited by 25 publications
(17 citation statements)
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“…Studies examining how commonly gastric cancer is missed at endoscopy have yielded widely varying results. [34][35][36] Shimodate et al 35 reviewed patients' earlier endoscopic records and found a miss rate for EGC of 75.2%. In our study, the miss rate was calculated by reviewing recorded videos for patients after successful eradication.…”
Section: Discussionmentioning
confidence: 99%
“…Studies examining how commonly gastric cancer is missed at endoscopy have yielded widely varying results. [34][35][36] Shimodate et al 35 reviewed patients' earlier endoscopic records and found a miss rate for EGC of 75.2%. In our study, the miss rate was calculated by reviewing recorded videos for patients after successful eradication.…”
Section: Discussionmentioning
confidence: 99%
“…Entscheidend für die Effektivität eines endoskopischen Screenings des OGIT sind die Schulung und das Training der Endoskopiker. In einer Metaanalyse von Menon et al lag die Gesamtrate an übersehenen Karzinomen des OGIT bei 11,3 %; und selbst in einer Studie aus Japan konnte gezeigt werden, dass 75 % neu diagnostizierter Magenkarzinome in vorangegangen Endoskopieaufnahmen erkennbar gewesen wären [9,10]. Dies verdeutlicht, dass Endoskopiker ohne entsprechendes Training trotz technischer Fortschritte die Schwachstellen in jedem endoskopischen Screeningprogramm bleiben würden.…”
Section: Diskussionunclassified
“…AI has been applied to endoscopic images to help highlight or identify areas of GI cancers [103]. The miss rates for early neoplastic lesions in the GI tract are significant; one retrospective study found a miss rate of 75.2% for gastric superficial neoplasia (GSNs) [104]. Wu et al demonstrated the feasibility of deep learning in order to detect early cancers and even map the stomach to address the blind spots responsible for many of these misses during gastroscopies [105].…”
Section: Artificial Intelligence (Ai)mentioning
confidence: 99%