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Feasibility analysis of automatic segmentation of organs at risk for patients with nasopharyngeal carcinoma receiving radiotherapy using artificial intelligence algorithms

Feasibility analysis of automatic segmentation of organs at risk for patients with nasopharyngeal carcinoma receiving radiotherapy using artificial intelligence algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000031276
Enrollment
Unknown
Registered
2020-03-26
Start date
2020-04-15
Completion date
Unknown
Last updated
2020-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nasopharyngeal carcinoma

Interventions

Automatic segmentation group:automatic segmentation of organs at risk using artificial intelligence algorithms
Mannual segmentation Group:mannual segmentation of organs at risk

Sponsors

Jiangsu Province Hospital of Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients with nasopharyngeal carcinoma and have received radiotherapy in our hospital; 2. Patients with ages ranging from 18 to 90 regardless of gender; 3. Patients are positioned in supine position with hands at their sides; 4. The CT scan range of the patient is from the top of the head to the level of bronchial bifurcation, and the thickness of the scan layer was less than or equal to 3 mm; 5. Informed consent and volunteer patients. The process of obtaining the informed consent shall comply with the GCP regulations.

Exclusion criteria

Exclusion criteria: 1. Patients who are pregnant and lactating women; 2. Patients who are unable to give full informed consent due to intellectual or behavioral disorders.

Design outcomes

Primary

MeasureTime frame
Dice Similarity Coefficient;

Countries

China

Contacts

Public ContactSong Wei

Jiangsu Province Hospital of Chinese Medicine

swjacke@hotmail.com+86 13952056710

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 6, 2026