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Construction of a Machine Learning–Based Predictive Model for Treatment-Related Adverse Effects in Patients with Head and Neck Cancer Undergoing Proton and Heavy Ion Therapy.

Construction of a Machine Learning–Based Predictive Model for Treatment-Related Adverse Effects in Patients with Head and Neck Cancer Undergoing Proton and Heavy Ion Therapy.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119833
Enrollment
Unknown
Registered
2026-03-04
Start date
2026-03-20
Completion date
Unknown
Last updated
2026-03-09

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

Conditions

Head and neck cancer (HNC)

Interventions

Observation group:None

Sponsors

Shanghai Proton and Heavy Ion Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18–80 years; 2. Diagnosed with head and neck cancer and receiving proton and heavy ion therapy; 3. Patients who completed all treatment and were discharged from the hospital successfully

Exclusion criteria

Exclusion criteria: 1.Presence of other concurrent malignancies; 2.Receiving palliative radiotherapy;

Design outcomes

Primary

MeasureTime frame
Moderate-to-severe radiation-induced toxicities.;Moderate to severe radiation-induced oral mucositis;Moderate to severe radiation dermatitis;Moderate to severe radiation-induced xerostomia;—

Countries

China

Contacts

Public ContactHongwei Wan

Shanghai Proton and Heavy Ion Hospital

hongwei.wan@sphic.org.cn+86 21 38296666

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026