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Application of multimodal image fusion and segmentation technology based on deep learning in clinical surgical treatment of midface tumors

Application of multimodal image fusion and segmentation technology based on deep learning in clinical surgical treatment of midface tumors

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500097756
Enrollment
Unknown
Registered
2025-02-25
Start date
2025-03-03
Completion date
Unknown
Last updated
2025-03-03

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

Conditions

Oral and Maxillofacial Tumors

Interventions

Deep learning group:none

Sponsors

Peking University School and Hospital of Stomatology
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) The tumor is located in the anatomical regions of the midface, such as the maxilla, maxillary gingiva, maxillary sinus, palate, and zygomatic bone, involving two or more anatomical regions; (2) The tumor is either primary or recurrent, with biopsy pathological results indicating a benign or malignant tumor; (3) Malignant tumors do not involve the intracranial space or the internal carotid artery, and distant metastasis is excluded; (4) The overall medical condition is tolerable for general anesthesia and surgical treatment.

Exclusion criteria

Exclusion criteria: (1) Patients with malignant tumors that have invaded the skull or the internal carotid artery; (2) Patients who have been confirmed to have distant metastasis through clinical or imaging examinations; (3) Patients whose overall health condition is not suitable for general anesthesia surgery, or who refuse surgical treatment.

Design outcomes

Primary

MeasureTime frame
Frozen section pathology negative rate;

Countries

China

Contacts

Public ContactBinzhang Wu

Peking University School and Hospital of Stomatology

wubz2008@126.com+86 156 0066 5605

Outcome results

None listed

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