Friday, September 4, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Medicine

Korea University College of Medicine’s team predict hearing conditions in vestibular schwannoma patients using radiomics

May 31, 2024
in Medicine
Ophelia Keating
By Ophelia Keating Scienmag Editorial Profile - Health Services Research
Reading Time: 2 mins read
0
66
SHARES
597
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

A recent study demonstrates that radiomics imaging analysis can effectively forecast the hearing status of patients with vestibular schwannoma patients. Since treatment methods, such as surgery or active surveillance, vary for these patients based on tumor size and hearing condition, predicting hearing status is crucial in planning and determining the appropriate treatment.

Korea University College of Medicine’s Team Predict Hearing Conditions in Vestibular Schwannoma Patients Using Radiomics

A recent study demonstrates that radiomics imaging analysis can effectively forecast the hearing status of patients with vestibular schwannoma patients. Since treatment methods, such as surgery or active surveillance, vary for these patients based on tumor size and hearing condition, predicting hearing status is crucial in planning and determining the appropriate treatment.

 

The research team led by Professor June Choi from the Department of Otorhinolaryngology-Head and Neck Surgery at Korea University Ansan Hospital (including Professors June Choi, Kang Hyeon Lim from the Department of Otorhinolaryngology-Head and Neck Surgery and Seung-hak Lee from Core Research & Development Center) utilized radiomics to retrospectively analyze MRI scans and hearing data from 73 patients, encompassing 115 MRI examinations. This is the first study to analyze the correlation between vestibular schwannoma and hearing status using radiomics imaging analysis.

 

Radiomics imaging analysis is a technique that extracts and analyzes various quantitative and statistical features from imaging data, creating genetic findings and prognostic models for individual patients. The research team isolated specific radiomics features from 70 characteristics in MRI images that best predict hearing status. They conducted over ten repeated analyses to ensure the reliability and stability of their findings. This approach offers an objective method to predict the hearing status of patients with vestibular schwannoma.

 

Professor Choi explained, “When deciding on the treatment approach for vestibular schwannoma, we consider a range of factors, including the size of the tumor and the patient’s hearing condition. By analyzing the data obtained from MRIs using AI-based radiomics techniques, we were able to predict the hearing status of patients with vestibular schwannoma. Demonstrating that radiomics can yield advanced outcomes holds significant importance.”

 

The team plans to integrate this technique with the Korea University Medical Center’s P-HIS (Cloud-based Precision Hospital Information System) to facilitate its use in clinical settings. Moreover, the study has been published in the latest edition of a leading European journal of otolaryngology(European Archives of Oto-Rhino-Laryngology) 



Journal

European Archives of Oto-Rhino-Laryngology

DOI

10.1007/s00405-023-08410-1

Method of Research

Randomized controlled/clinical trial

Subject of Research

People

Article Title

Analysis of the association between vestibular schwannoma and hearing status using a newly developed radiomics technique

COI Statement

All authors declared no potential conficts of interest with respect to the research, authorship, and/or publication of this article.

Subject of Research: Medicine

Article Title: Korea University College of Medicine’s team predict hearing conditions in vestibular schwannoma patients using radiomics

Article References: Original research article

Image Credits: AI Generated

DOI: Not provided

Keywords: Not provided

Cite Scienmag News

Ophelia Keating. (May 31, 2024). Korea University College of Medicine’s team predict hearing conditions in vestibular schwannoma patients using radiomics. Scienmag. https://scienmag.com/korea-university-college-of-medicines-team-predict-hearing-conditions-in-vestibular-schwannoma-patients-using-radiomics/

Ophelia Keating. "Korea University College of Medicine’s team predict hearing conditions in vestibular schwannoma patients using radiomics." Scienmag, 31 May 2024, https://scienmag.com/korea-university-college-of-medicines-team-predict-hearing-conditions-in-vestibular-schwannoma-patients-using-radiomics/. Accessed 4 September 2026.

Ophelia Keating. "Korea University College of Medicine’s team predict hearing conditions in vestibular schwannoma patients using radiomics." Scienmag. May 31, 2024. https://scienmag.com/korea-university-college-of-medicines-team-predict-hearing-conditions-in-vestibular-schwannoma-patients-using-radiomics/

Share26Tweet17
Previous Post

Breakthrough in using bispecific antibodies for solid tumors

Next Post

Fjords are effective carbon traps regardless of oxygen levels

Related Posts

Palladium catalyst transforms ketones through decarboxylative rearrangement chemistry
Medicine

Palladium catalyst transforms ketones through decarboxylative rearrangement chemistry

September 4, 2026
Rising documented obesity in hospitalized adults over a decade
Medicine

Rising documented obesity in hospitalized adults over a decade

September 4, 2026
Multi-omics signatures of type 2 diabetes subgroups predict insulin sensitizer response
Medicine

Multi-omics signatures of type 2 diabetes subgroups predict insulin sensitizer response

September 4, 2026
Machine Learning Predicts Elite Male Sprint Cycling Performance in Multinational Study
Medicine

Machine Learning Predicts Elite Male Sprint Cycling Performance in Multinational Study

September 4, 2026
Genetic and protein insights into GRIN epilepsy in Chinese children
Medicine

Genetic and protein insights into GRIN epilepsy in Chinese children

September 4, 2026
Loneliness and Distress Intolerance Shape Mothers’ Problematic Smartphone Use
Medicine

Loneliness and Distress Intolerance Shape Mothers’ Problematic Smartphone Use

September 4, 2026
Next Post
Fjords are effective carbon traps regardless of oxygen levels

Fjords are effective carbon traps regardless of oxygen levels

  • Mothers who receive childcare support from maternal grandparents show more optimized

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27656 shares
    Share 11059 Tweet 6912
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1061 shares
    Share 424 Tweet 265
  • Bee body mass, pathogens and local climate influence heat tolerance

    682 shares
    Share 273 Tweet 171
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    546 shares
    Share 218 Tweet 137
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    531 shares
    Share 212 Tweet 133
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Kaikōura erosion study offers global insights into rocky coastline change
  • JMIR news explores the future direction of health technology
  • Mount Sinai wins $4.1 million grant to study everyday exposures in sickle cell disease
  • Scientists urge UN to mandate global reporting to curb plastic pollution

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,151 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading