- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06032767
Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
January 4, 2024 updated by: Fang-Yun Xie, Sun Yat-sen University
The goal of this observational study is to apply the CNN-based DL method to extract the three-dimensional spatial information of IMRT dose distribution to predict the occurrence probability of serious radiotherapy and chemotherapy induced oral mucositis(SRCOM), and compare with a model based on dosimetry, NTCP or doseomics to improve the prediction accuracy of SRCOM, thus guiding the clinical planning design, reducing the occurrence probability of OM, and may have the potential value of preventing serious complications and improving the quality of life in patients with nasopharyngeal carcinoma.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
480
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Fang-Yun Xie, M.D.
- Phone Number: +8613902205880
- Email: xiefy@sysucc.org.cn
Study Contact Backup
- Name: Pu-Yun OuYang, M.D.
- Phone Number: +8618565382769
- Email: ouyangpy@sysucc.org.cn
Study Locations
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510060
- Recruiting
- Sun Yat-Sen University Cancer Center
-
Contact:
- Fang-Yun Xie, professor
- Phone Number: +86-20-87342926
- Email: xiefy@sysucc.org.cn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Primary-treated NPC patients undergoing IMRT
Description
Inclusion Criteria:
- Initial diagnosis, pathological histological diagnosis, the pathological type is non-keratotic carcinoma (according to the WHO pathological classification).
- Initial intensity-modulated radiotherapy (Intensity modulated radiation therapy, IMRT).
- No previous radiotherapy was received.
Exclusion Criteria:
- Patients with recurrent nasopharyngeal carcinoma.
- Radiotherapy plan cannot be obtained.
- Previous history of malignancy; previous radiotherapy.
- The primary lesion and cervical metastatic lesions have received surgical treatment (except for diagnostic treatment).
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
RTOG/EROTC Acute Radiation Reaction Scoring Standard
Time Frame: through radiation therapy, an average of 7 weeks
|
Toxicity records of oral mucosal Reaction in patients are conducted by professionally trained oncologists
|
through radiation therapy, an average of 7 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Fang-Yun Xie, M.D., Sun Yat-sen University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Wolden SL, Chen WC, Pfister DG, Kraus DH, Berry SL, Zelefsky MJ. Intensity-modulated radiation therapy (IMRT) for nasopharynx cancer: update of the Memorial Sloan-Kettering experience. Int J Radiat Oncol Biol Phys. 2006 Jan 1;64(1):57-62. doi: 10.1016/j.ijrobp.2005.03.057. Epub 2005 Jun 2.
- Li K, Yang L, Hu QY, Chen XZ, Chen M, Chen Y. Oral Mucosa Dose Parameters Predicting Grade >/=3 Acute Toxicity in Locally Advanced Nasopharyngeal Carcinoma Patients Treated With Concurrent Intensity-Modulated Radiation Therapy and Chemotherapy: An Independent Validation Study Comparing Oral Cavity versus Mucosal Surface Contouring Techniques. Transl Oncol. 2017 Oct;10(5):752-759. doi: 10.1016/j.tranon.2017.06.011. Epub 2017 Jul 21.
- Elad S, Yarom N, Zadik Y, Kuten-Shorrer M, Sonis ST. The broadening scope of oral mucositis and oral ulcerative mucosal toxicities of anticancer therapies. CA Cancer J Clin. 2022 Jan;72(1):57-77. doi: 10.3322/caac.21704. Epub 2021 Oct 29.
- Soutome S, Yanamoto S, Nishii M, Kojima Y, Hasegawa T, Funahara M, Akashi M, Saito T, Umeda M. Risk factors for severe radiation-induced oral mucositis in patients with oral cancer. J Dent Sci. 2021 Oct;16(4):1241-1246. doi: 10.1016/j.jds.2021.01.009. Epub 2021 Feb 9.
- Li PJ, Li KX, Jin T, Lin HM, Fang JB, Yang SY, Shen W, Chen J, Zhang J, Chen XZ, Chen M, Chen YY. Predictive Model and Precaution for Oral Mucositis During Chemo-Radiotherapy in Nasopharyngeal Carcinoma Patients. Front Oncol. 2020 Nov 5;10:596822. doi: 10.3389/fonc.2020.596822. eCollection 2020.
- Gabrys HS, Buettner F, Sterzing F, Hauswald H, Bangert M. Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia. Front Oncol. 2018 Mar 5;8:35. doi: 10.3389/fonc.2018.00035. eCollection 2018.
- Zhen X, Chen J, Zhong Z, Hrycushko B, Zhou L, Jiang S, Albuquerque K, Gu X. Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study. Phys Med Biol. 2017 Oct 12;62(21):8246-8263. doi: 10.1088/1361-6560/aa8d09.
- Ibragimov B, Toesca D, Chang D, Yuan Y, Koong A, Xing L. Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT. Med Phys. 2018 Oct;45(10):4763-4774. doi: 10.1002/mp.13122. Epub 2018 Sep 10.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 14, 2023
Primary Completion (Estimated)
September 30, 2024
Study Completion (Estimated)
December 30, 2024
Study Registration Dates
First Submitted
September 4, 2023
First Submitted That Met QC Criteria
September 11, 2023
First Posted (Actual)
September 13, 2023
Study Record Updates
Last Update Posted (Actual)
January 5, 2024
Last Update Submitted That Met QC Criteria
January 4, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Digestive System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Neoplasms, Glandular and Epithelial
- Gastrointestinal Diseases
- Gastroenteritis
- Pharyngeal Neoplasms
- Otorhinolaryngologic Neoplasms
- Head and Neck Neoplasms
- Nasopharyngeal Diseases
- Pharyngeal Diseases
- Stomatognathic Diseases
- Otorhinolaryngologic Diseases
- Mouth Diseases
- Nasopharyngeal Neoplasms
- Carcinoma
- Nasopharyngeal Carcinoma
- Mucositis
- Stomatitis
Other Study ID Numbers
- B2022-420-Y01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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