Synopsis of Social media discussions

The discussions highlight positive reactions to the new algorithm designed for assessing tumor viability post-treatment, with specific mentions of increased sensitivity and the importance of accurate classification. The tone reflects professional interest and appreciation for advancements, as seen in phrases like 'increase sens…' and 'prevent misclassification,' indicating recognition of the publication's potential impact on medical imaging practices.

A
Agreement
Moderate agreement

The discussions show general approval of the updated assessment methods, emphasizing improved sensitivity and accuracy.

I
Interest
Moderate level of interest

Participants demonstrate moderate interest, focusing on the technical details and implications of the treatment response algorithm.

E
Engagement
High engagement

Posts delve into specific aspects like the algorithm's sensitivity, indicating deep engagement with the subject.

I
Impact
Moderate level of impact

The emphasis on preventing misclassification and enhancing diagnostic accuracy suggests the publication could influence clinical practices.

Social Mentions

YouTube

2 Videos

Twitter

6 Posts

Metrics

Video Views

360

Total Likes

9

Extended Reach

65,233

Social Features

8

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

LI-RADS CEUS Algorithm for Liver Treatment Response Assessment 2024

LI-RADS CEUS Algorithm for Liver Treatment Response Assessment 2024

Radiology In a Minute offers concise summaries of current radiology research. The 2024 update to LI-RADS CEUS introduces criteria for evaluating tumor viability after treatment using contrast-enhanced ultrasound, improving accuracy in categorizing treatment response.

May 22, 2024

230 views


Advances in Liver Imaging for NASH and HCC Assessment 2024

Advances in Liver Imaging for NASH and HCC Assessment 2024

Dr. Linda Chu reviews recent developments in non-invasive liver imaging, focusing on MR elastography and updated LI-RADS CEUS guidelines for assessing treatment response in NASH and hepatocellular carcinoma, highlighting improved accuracy and clinical applications.

August 6, 2024

131 views


  • Adarsh
    @AdarshGhost (Twitter)

    RT @VitaliKoch: Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sens…
    view full post

    May 29, 2024

    5

  • Frank Yuan, MD
    @DrFrankYuan (Twitter)

    RT @VitaliKoch: Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sens…
    view full post

    May 28, 2024

    5

  • Radiology
    @radiology_rsna (Twitter)

    RT @VitaliKoch: Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sens…
    view full post

    May 28, 2024

    5

  • Ameya Kulkarni
    @DrAmeya_K (Twitter)

    RT @VitaliKoch: Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sens…
    view full post

    May 28, 2024

    5

  • Victoria Chernyak, MD MS FSAR FESGAR FACR
    @VChernyakMD (Twitter)

    RT @VitaliKoch: Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sens…
    view full post

    May 28, 2024

    5

  • Vitali Koch
    @VitaliKoch (Twitter)

    Post-treatment HCC viability assessment using contrast-enhanced ultrasound: A treatment response algorithm to increase sensitivity and prevent misclassification. Read more about #ResponseAssessment @ https://t.co/lhQP879BOV @radiology_rsna @RITEditor @VChernyakMD #RadInTraining https://t.co/dvpR7Y91bD
    view full post

    May 28, 2024

    9

    5

Abstract Synopsis

  • The American College of Radiology developed LI-RADS to standardize imaging and management for patients at risk of hepatocellular carcinoma (HCC), focusing on various imaging techniques such as US, CT, and MRI.
  • The recent update, LI-RADS CEUS Nonradiation TRA v2024, introduces criteria for assessing tumor viability after treatment using contrast-enhanced ultrasound (CEUS), accounting for the differences in imaging appearances post-treatment.
  • The new TRA algorithm combines evaluations of both the treated lesion and surrounding areas, allowing for better categorization of treatment response into categories such as nonviable, equivocal, or viable tumors.