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

October 2025 Endoscopy

Synopsis of Social media discussions

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.

A
Agreement
 Moderate agreement

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

I
Interest
 Moderate level of interest

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

E
Engagement
 High engagement

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

I
Impact
 Moderate level of impact

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

Social Mentions

YouTube

1 Videos

Twitter

3 Posts

Metrics

Video Views

35

Total Likes

13

Extended Reach

23,381

Social Features

4

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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

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

September 24, 2025

35 views

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    #AuthorCommentary: Lianlian Wu on “Clinical decision tree for optimizing endoscopic assessment of signet ring cell carcinoma in hereditary diffuse gastric cancer surveillance” Watch here: https://t.co/c2rOvHDCVU Find the article at: https://t.co/eP7fEj5tna Lianlian Wu et al.
    view full post

    October 14, 2025

    3

    1

  • Sandra Baile Maxía
    @sandrabaaile (Twitter)

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

    October 13, 2025

    1

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    Decision tree enhances signet ring cell carcinoma detection in HDGC surveillance Find the article at: https://t.co/eP7fEj4VxC Lianlian Wu et al. https://t.co/6YBAiSG3oB
    view full post

    October 13, 2025

    10

    1

Abstract Synopsis

  • 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.]