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Deep learning in the differential diagnosis of benign from malignant parotid gland tumor based on ultrasound imaging and clinical data

Deep learning in the differential diagnosis of benign from malignant parotid gland tumor based on ultrasound imaging and clinical data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100049124
Enrollment
Unknown
Registered
2021-07-21
Start date
2021-10-01
Completion date
Unknown
Last updated
2022-04-04

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

Conditions

parotid gland tumor

Interventions

Gold Standard:Biopsy or postoperative pathological examination
Index test:deep learning

Sponsors

Yunnan Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.Subjects had parotid gland tumor; 2.Subjects accepted Ultrasonography; 3.Parotid gland tumor confirmed by biopsy or postoperatively; 4.Aged 20 to 75 years.

Exclusion criteria

Exclusion criteria: 1.Patients had accepted treatment related to the lesion before Ultrasonography, including surgery, transcatheter arterial chemoembolization (TACE), radiofrequency ablation, chemotherapy, radiotherapy, targeted drug therapy, etc.; 2.Patients with inflammatory lesions; 3.Any missing important medical records or laboratory results of the malignancy individuals; 4.Unqualified image quality; 5.Patients with diabetes, hyperlipidemia, cardio-cerebrovascular diseases; 6.Patients with serious liver and kidney diseases or cancer; 7.Chronic alcoholics.

Design outcomes

Primary

MeasureTime frame
Ultrasound imaging and laboratory indexes;Patient clinical case information;Patient case information;—

Countries

China

Contacts

Public ContactZheng Chenhong

Yunnan Cancer Hospital

54290838@163.com+86 15210090091

Outcome results

None listed

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