Otolaryngology in Clinical Practice: The Necessity of Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 222

Special Issue Editor


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Guest Editor
Department of Otorhinolaryngology and Head and Neck Surgery, CHU de Bruxelles, CHU Saint-Pierre, School of Medicine, 64000 Brussels, Belgium
Interests: otolaryngology; laryngology; oncology; artificial intelligence; reflux disease
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Special Issue Information

Dear Colleagues,

Background:

Otolaryngology-Head and Neck Surgery is confronted with challenges in treatment optimization due to the complex interplay of anatomical, physiological, and histopathological findings of ear, nose, and throat pathologies affecting individual patients' quality of life. Traditional "one-size-fits-all" approaches often yield suboptimal outcomes, highlighting the need for personalized therapeutic strategies.

History:

The field has evolved from standardized protocols to increasingly individualized approaches, initially through clinical phenotyping and biomarker identification. Recent technological advances, especially in artificial intelligence, have accelerated the shift toward precision medicine in otolaryngology.

Aim and Scope:

This Special Issue aims to provide insight into the integration of personalized medicine approaches in otolaryngology-head and neck surgery, emphasizing how patient-specific factors (genetic profiles, environmental influences, comorbidities) can be considered to lead to tailored therapeutic strategies. A particular focus on the synergistic potential of artificial intelligence and machine learning in advancing personalized care can be performed through improved diagnostic accuracy, treatment selection, and outcome prediction.

Cutting-edge Research:

Current innovations include AI-powered imaging analysis for surgical planning, machine learning algorithms for treatment response prediction, personalized tissue engineering, targeted molecular therapies, and the application of big data analytics to identify patient-specific risk factors and optimal intervention timing.

Papers Solicited:

We welcome original research, systematic reviews, and comprehensive reviews dedicated to:

  • AI/ML applications in personalized diagnosis and treatment;
  • Novel biomarker identification and validation studies;
  • Patient-specific outcome prediction models;
  • Precision therapeutics in head and neck surgery;
  • Integration of multi-omics data in personalized care;
  • Real-world implementation of personalized medicine approaches.

Prof. Dr. Jerome Rene Lechien
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • otolaryngology
  • otorhinolaryngology
  • artificial Intelligence
  • personalized Medicine
  • treatments

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Published Papers (1 paper)

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Research

11 pages, 814 KiB  
Article
Validity and Reliability of the Singer Reflux Symptom Score (sRSS)
by Jérôme R. Lechien
J. Pers. Med. 2025, 15(8), 348; https://doi.org/10.3390/jpm15080348 (registering DOI) - 2 Aug 2025
Viewed by 53
Abstract
Objectives: To investigate the reliability and validity of the Singer Reflux Symptom Score (sRSS), a new patient-reported outcome questionnaire documenting the severity of reflux symptoms in singing voice is proposed. Methods: Amateur and professional singers consulting the European Reflux Clinic for [...] Read more.
Objectives: To investigate the reliability and validity of the Singer Reflux Symptom Score (sRSS), a new patient-reported outcome questionnaire documenting the severity of reflux symptoms in singing voice is proposed. Methods: Amateur and professional singers consulting the European Reflux Clinic for laryngopharyngeal reflux disease (LPRD) symptoms and findings were prospectively recruited from January 2022 to February 2023. The diagnosis was based on a Reflux Symptom Score (RSS) > 13 and Reflux Sign Assessment (RSA) > 14. A control group of asymptomatic singer subjects was recruited from the University of Mons. The sRSS was rated within a 7-day period to assess test–retest reliability. Internal consistency was measured using Cronbach’s α in patients and controls. A correlation analysis was performed between sRSS and Singing Voice Handicap Index (sVHI) to evaluate convergent validity. Responsiveness to change was evaluated through pre- to post-treatment sRSS changes. The sRSS threshold for suggesting a significant impact of LPRD on singing voice was determined by receiver operating characteristic (ROC) analysis. Results: Thirty-three singers with suspected LPRD (51.5% female; mean age: 51.8 ± 17.2 years) were consecutively recruited. Difficulty reaching high notes and vocal fatigue were the most prevalent LPRD-related singing complaints. The sRSS demonstrated high internal consistency (Cronbach-α = 0.832), test–retest reliability, and external validity (correlation with sVHI: r = 0.654; p = 0.015). Singers with suspected LPRD reported a significant higher sRSS compared to 68 controls. sRSS item and total scores significantly reduced from pre-treatment to 3 months post-treatment except for the abnormal voice breathiness item. ROC analysis revealed superior diagnostic accuracy for sRSS (AUC = 0.971) compared to sRSS-quality of life (AUC = 0.926), with an optimal cutoff at sRSS > 38.5 (sensitivity: 90.3%; specificity: 85.0%). Conclusions: The sRSS is a reliable and valid singer-reported outcome questionnaire for documenting singing symptoms associated with LPRD leading to personalized management of Singers. Future large-cohort studies are needed to evaluate its specificity for LPRD compared to other vocal fold disorders in singers. Full article
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