- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06755567
Application of MRI Radiomics Features in Neoadjuvant Therapy of Head and Neck Squamous Cell Carcinoma
December 24, 2024 updated by: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Head and neck squamous cell carcinoma is the sixth most common malignant tumor in the world.
Neoadjuvant therapy, including neoadjuvant chemotherapy and immunotherapy, is recommended for patients with locally advanced head and neck cancer.
The response to neoadjuvant therapy varies among the patients.
It is reported that about 37% of the patients achieve pathological complete response after receiving neoadjuvant therapy, who would achieve a better prognosis compared with the patients with non-pathological complete response.
It is significant to predict and assess response to neoadjuvant therapy for the patients with head and neck cancer accurately, which could assist in formulating individualized therapeutic regimens.
MRI has good soft tissue resolution and is a common preoperative examination method.
However, this method lacks the ability to accurately predict the probability of patients achieving pathological remission after neoadjuvant therapy.
At present, it is a novel and effective method to construct a model to predict the efficacy of neoadjuvant therapy based on MRI image omics analysis, and certain achievements have been made in breast cancer and rectal cancer.
In this study, multi-sequence MRI was combined with clinical risk factors to construct an imaging omics model to predict the probability of pathological complete remission of patients with head and neck squamous cell carcinoma after neoadjuvant therapy, and to accurately identify diagnostic imaging remission, so as to better assist clinical decision-making.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
750
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: Lin
- Phone Number: 0086-020-34071439
- Email: linpliang3@mail.sysu.edu.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
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Patients with head and neck squamous cell carcinoma, who were treated in Sun Yat-sen Memorial Hospital between January 2020 and October 2023, were included and randomly allocated into a training set (n = 300) and an internal validation set (n = 150).
Patients treated in Sun Yat-Sen University Cancer Centre, Shenshan Medical Centre, Memorial Hospital of Sun Yat-sen University and Huizhou First Hospital between January 2020 and April 2024, were assigned as an external validation set (n = 150) .
Patients treated in Sun Yat-sen Memorial Hospital, Sun Yat-Sen University Cancer Centre, Shenshan Medical Centre, Memorial Hospital of Sun Yat-sen University and Huizhou First Hospital between October 2024 and June 2025, were assigned as an prospective validation set (n = 150) .
Description
Inclusion Criteria:
- (a) patients pathologically diagnosed as head and neck squamous cell carcinoma;
- (b) patients receiving two or three courses of neoadjuvant therapy (traditional chemotherapy plus PD-1 inhibitor);
- (c) MR scan within 30 days before the first course of neoadjuvant therapy;
- (d) patients undergoing radical surgical dissection following neoadjuvant therapy;
- (e) complete clinical data available.
Exclusion Criteria:
- (a) previous head and neck treatment history;
- (b) obvious motion or metal artifacts on the MRI image;
- (c) distant metastasis;
- (d) concurrent malignancies.
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
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
HNSCC with NACI
HNSCC with neoadjuvant chemoimmunotherapy, following by radical sugery.
|
Response to NACI was predicted using MRI-based radiomics-clinical model.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
the area under the receiver operating characteristic (AUROC) curves
Time Frame: 2021.1-2023.2
|
2021.1-2023.2
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
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 (Estimated)
December 25, 2024
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2028
Study Registration Dates
First Submitted
December 24, 2024
First Submitted That Met QC Criteria
December 24, 2024
First Posted (Actual)
March 25, 2025
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
December 24, 2024
Last Verified
December 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Neoplasms by Site
- Neoplasms
- Disease Attributes
- Neoplasms by Histologic Type
- Head and Neck Neoplasms
- Neoplasms, Glandular and Epithelial
- Carcinoma
- Neoplasms, Squamous Cell
- Disease Progression
- Squamous Cell Carcinoma of Head and Neck
- Pathologic Complete Response
- Carcinoma, Squamous Cell
Other Study ID Numbers
- SYSKY-2023-1175-02
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.
Clinical Trials on Head and Neck Cancer
-
Robert FerrisAmgenCompletedHead and Neck Cancer | Cancer of Head and Neck | Head Cancer | Neck Cancer | Neoplasms, Head and Neck | Cancer of the Head and Neck | Cancer of Neck | Upper Aerodigestive Tract Neoplasms | Neck Neoplasms | Cancer of the Head | Cancer of the Neck | UADT Neoplasms | Cancer of Head | Head Neoplasms | Head, Neck Neoplasms | Neoplasms, Head and other conditionsUnited States
-
Assiut UniversityRecruitingHead and Neck Cancer | Head and Neck Neoplasms | Cancer of Head and Neck | Neoplasms, Head and Neck | Cancer of the Head and NeckEgypt
-
Mayo ClinicCompletedCancer Head Neck | Cancer Neck | Cancer, HeadUnited States
-
West China HospitalNot yet recruitingHead and Neck Cancer | Malignant Neoplasm | Advanced Head and Neck Carcinoma | Head &Amp; Neck Cancer
-
National Cancer Institute (NCI)TerminatedRecurrent Head and Neck Cancer | Metastatic Head and Neck CancerUnited States
-
Radboud University Medical CenterUnknown
-
Fondazione IRCCS Policlinico San Matteo di PaviaNestle Health Science; Akern SrlCompletedHead-neck CancerItaly
-
University of California, San FranciscoCompleted
-
Uppsala UniversityRegion Östergötland; Region Skane; Region Västerbotten; Swedish Cancer Society; S... and other collaboratorsNot yet recruitingHead and Neck Cancer | Head and Neck Cancer Squamous Cell CarcinomaSweden
-
Shenzhen SiBiono GeneTech Co.,LtdUnknownAdvanced Head and Neck CancerChina
Clinical Trials on MRI-based radiomics-clinical model
-
Fudan UniversityUnknownColorectal Cancer Stage I-IVChina
-
Fudan UniversityCompletedThe Patients With CRLM Who Benefit More From BevacizumabChina
-
First Affiliated Hospital of Chongqing Medical...Recruiting
-
University of Texas Southwestern Medical CenterActive, not recruiting
-
Zhejiang Cancer HospitalNingbo Medical Center Lihuili Hospital; Renmin Hospital of Wuhan University; First... and other collaboratorsRecruiting
-
Second Affiliated Hospital, School of Medicine,...Alibaba DAMO AcademyNot yet recruitingEarly Detection of Cancer | Breast Cancer Detection | AI (Artificial Intelligence)
-
Peking University People's HospitalNot yet recruiting
-
Qun ZhaoFirst Hospital of Shijiazhuang City; Baoding First Central Hospital; Hengshui...Enrolling by invitationRadiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer PatientsGastric Cancer | Lymphatic Metastasis | Artificial Intelligence | Radiomics | Para-Aortic Lymph Node Metastasis | Preoperative Imaging AssessmentChina
-
Mingge LLCFudan University; Huashan HospitalActive, not recruitingGlioma, Malignant | Computer-AssistedChina
-
Fondazione Policlinico Universitario Agostino Gemelli...CompletedUterine Cervical Neoplasms | Machine Learning | Locally Advanced Cervical Cancer | Radiomics | Ultrasound Imaging | ChemoradiotherapyItaly