Research on Identifying and Treatment Prognosis of Chronic Rhinosinusitis Based on Image and Sequencing Data

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

3500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-03-31

Study Completion Date

2024-04-30

Brief Summary

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This project focuses on researching chronic rhinosinusitis in patients, employing image processing techniques and molecular biology methods to jointly determine the research objectives:

1. Investigating heterogeneity.
2. Developing an intelligent assessment model.
3. Creating a visual tool for diagnosis and prognosis.

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Detailed Description

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1. Investigating the heterogeneity of chronic rhinosinusitis: the project will utilize high-throughput information from various sources such as radiology, pathology, and proteomics to gain insights into the multi-dimensional and big data aspects of chronic rhinosinusitis. By analyzing this data, the study aims to identify and understand the different subtypes with more precise and personalized treatment approaches.
2. Developing an intelligent assessment model: using artificial intelligence algorithms, the project will analyze multi-omics data gathered from the research. The goal is to establish an intelligent assessment model that can accurately interpret the data and provide valuable insights into chronic rhinosinusitis.
3. Creating a visual tool for diagnosis and prognosis: the project seeks to integrate multi-omics information to establish an AI model for typing and prognostic prediction. By achieving these research objectives, this project aspires to enhance the understanding of chronic rhinosinusitis and contribute to the development of more precise, personalized, and effective treatment strategies for patients suffering from this condition.

Conditions

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Chronic Sinusitis Radiology Pathology Surgery Progression

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Control

Following the efficacy assessment method outlined in the 2020 EPOS guidelines, the treatment outcomes of chronic sinusitis are categorized as "controlled" or "uncontrolled." Clinical reference evaluation criteria include: nasal congestion, rhinorrhea, facial pain, reduced sense of smell, sleep disturbances, the need for ongoing medication maintenance and the abnormal nasal endoscopy findings, .If there are no three or more symptoms rated five or higher, the patient's chronic sinusitis is considered controlled.

endoscopic sinus surgery

Intervention Type PROCEDURE

Open the sinus ostium, improve anatomical issues and remove the diseased tissue.

Uncontrol

Following the efficacy assessment method outlined in the 2020 EPOS guidelines, the treatment outcomes of chronic sinusitis are categorized as "controlled" or "uncontrolled." Clinical reference evaluation criteria include: nasal congestion, rhinorrhea, facial pain, reduced sense of smell, sleep disturbances, the need for ongoing medication maintenance and the abnormal nasal endoscopy findings, . The classification is based on the number and severity of these symptoms,and patients with three or more symptoms rated five or higher are considered to have uncontrolled disease

endoscopic sinus surgery

Intervention Type PROCEDURE

Open the sinus ostium, improve anatomical issues and remove the diseased tissue.

Interventions

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endoscopic sinus surgery

Open the sinus ostium, improve anatomical issues and remove the diseased tissue.

Intervention Type PROCEDURE

Other Intervention Names

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ESS

Eligibility Criteria

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Inclusion Criteria

1. oral glucocorticoid, and intranasal steroid spray and steroid irrigation treatment were discontinued at least 3 months and 1 month before surgery, respectively;
2. without acute asthma episode or acute upper airway infection within 1 month before surgery;
3. not under allergen immunotherapy or biologic treatment.

Exclusion Criteria

1. fungal sinusitis;
2. antrochoanal polyps;
3. cystic fibrosis, vasculitis, primary ciliary dyskinesia, or immunodeficiency;
4. odontogenic maxillary sinusitis;
5. patients with history of craniocerebral trauma or sinonasal tumours.
6. insufficient CT quality (e.g., metal artifacts, motion artifacts, and lack of intact CT scan of sinuses);
7. slice thickness more than 2.5 mm.
8. women must not be pregnant, or breast-feeding;
9. patients with serious metabolic, cardiovascular, autoimmune, neurology, blood, digestive, cerebrovascular, or respiratory system disease, or any disease interfering with the evaluation of results or affecting subjects safety are excluded, such as glaucoma and tuberculosis;
10. patients with emotional or mental problems are excluded;
11. patients unsuitable for inclusion based on judgement of researchers are excluded;

Minimum Eligible Age

16 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Responsible Party

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Zheng Liu

Professor of Otolaryngology-Head & Neck Surgery Vice Director Department of ENT Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Affiliation: Huazhong University of Science and Technology

Responsibility Role SPONSOR_INVESTIGATOR