Endoscopy October 2025 PMID 40506018

Clinical decision tree for optimizing endoscopic assessment of signet ring cell carcinoma in hereditary diffuse gastric cancer surveillance.

Lianlian Wu, Judith Honing, Anjui Wu, Sonia S Kupfer, Tanya M Bisseling, Jolanda M van Dieren, W Keith Tan, Colin Y C Lee, Andreas V Hadjinicolaou, Yuan Huang, Juan de la Revilla Negro, Mohmmed Tauseef Sharip, Joshua Elias, Hui Jun Lim, Nandini Karthik

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Mentions

Peak: 3 in Oct 2025

across 2 sources since Sep 2025

Extended reach

23,381

potential audience

Total likes

Video views

Mentions per month

Sep 2025 – Oct 2025

Where it's discussed

X / Twitter3 posts
YouTube1 videos

AI synopsis

What people are saying

The discussions emphasize the significance of the study, with posts highlighting that the decision tree strategy 'enhances detection' and 'helps doctors,' showing a focus on practical improvements in diagnosis. Words like 'improve,' 'detect,' and 'clinical framework' reflect a tone of optimism and recognition of potential advancements, contributing to the overall perception of meaningful impact and moderate interest in the topic.

AgreementModerate agreement

Most discussions agree that the new decision tree improves detection of SRCC, highlighting the study's value in clinical practice.

InterestModerate interest

Participants show moderate interest, discussing the potential of the decision tree but without deep technical engagement.

EngagementHigh engagement

Multiple posts reference the article directly and mention its implications, indicating active participation.

ImpactModerate impact

The dialogues suggest that the research could influence future diagnostic approaches and diagnostic accuracy.

Abstract in brief

The study focused on improving how doctors detect signet ring cell carcinoma (SRCC) in patients with hereditary diffuse gastric cancer (HDGC), using an endoscopic decision tree (cDT) based on machine learning and existing criteria.
Retrospective analysis showed that the Cambridge criteria were fairly accurate in identifying SRCC, while the new clinical decision tree improved detection rates and consistency among different observers in a prospective validation.
Overall, the developed endoscopic framework helps doctors better assess early gastric cancer during surveillance, potentially guiding more timely and accurate treatment decisions for HDGC patients.]

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All mentions

Optimizing Endoscopic Detection of Signet Ring Cell Carcinoma in Hereditary Gastric Cancer

This study enhances detection of signet ring cell carcinoma in hereditary diffuse gastric cancer through a machine learning-based clinical decision tree, improving diagnostic accuracy and consistency among clinicians.

endoscopythieme · Sep 24, 2025 35 views

Endoscopy Journal

@endoscopyjrnl · X

Oct 14, 2025 · 3 likes · 1 share · 11,538 followers View post →

Sandra Baile Maxía

@sandrabaaile · X

RT @endoscopyjrnl: Decision tree enhances signet ring cell carcinoma detection in HDGC surveillance Find the article at: https://t.co/eP7f…

Oct 13, 2025 · 1 share · 250 followers View post →