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AI-based multimodal and multi-dimensional radiomics for accurate grading and early prediction of radiation dermatitis of breast cancer

AI-based multimodal and multi-dimensional radiomics for accurate grading and early prediction of radiation dermatitis of breast cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400082684
Enrollment
Unknown
Registered
2024-04-03
Start date
2024-04-10
Completion date
Unknown
Last updated
2024-04-08

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

Conditions

tumor

Interventions

Gold Standard:Toxicity criteria of the Radiation Therapy Oncology Group (RTOG)
Index test:Establish an radiomics model to evaluate radiation dermatitis of breast cancer

Sponsors

The First Affiliated Hospital of the Air Force Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Diagnosed with invasive breast cancer or ductal carcinoma in situ 2. Age= 18 years old 3. Postoperative adjuvant radiotherapy for the entire breast or chest wall

Exclusion criteria

Exclusion criteria: 1. The treatment position is prone position 2. Breast extender implantation 3. History of inflammatory breast cancer or other local skin diseases of the breast 4. Those who refuse to sign the informed consent form

Design outcomes

Primary

MeasureTime frame
Radiation dermatitis;Accuracy;Sensitivity ;Specificity;—

Secondary

MeasureTime frame
Positive predicative value;Negative predictive valu;—

Countries

China

Contacts

Public ContactZhao Lina

Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University

zhaolinazln@outlook.com+86 135 7255 3455

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026