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Exploring the Relationship between Primary and Metastatic Lesions of Head and Neck Cancer Using Deep Learning-Driven Radiomics and Pathomics

Exploring the Relationship between Primary and Metastatic Lesions of Head and Neck Cancer Using Deep Learning-Driven Radiomics and Pathomics

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122967
Enrollment
Unknown
Registered
2026-04-20
Start date
2025-04-05
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Head and Neck Squamous Cell Carcinoma

Interventions

Case series:none

Sponsors

Qilu Hospital of Shandong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Pathological diagnosis of head and neck squamous cell carcinoma (HNSCC). 2. Enhanced CT scan completed within one week before surgery. 3. Patients who underwent surgical treatment and had lymph node metastasis confirmed by postoperative pathology.

Exclusion criteria

Exclusion criteria: 1. Received preoperative neoadjuvant chemoradiotherapy. 2. Presence of multiple primary cancers or distant metastasis. 3. Incomplete clinical data, imaging materials, or HE-stained pathological image data.

Design outcomes

Primary

MeasureTime frame
area under curve(AUC);Radiomics index;Pathomics index;—

Secondary

MeasureTime frame
Sensitivity;—

Countries

China

Contacts

Public ContactDapeng Lei

Qilu Hospital of Shandong University

leidapeng@sdu.edu.cn+86 185 6008 5656

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026