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Construction of breast cancer Malignant Fungating wounds image evaluation system based on deep learning

Construction of breast cancer Malignant Fungating wounds image evaluation system based on deep learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900022422
Enrollment
Unknown
Registered
2019-04-10
Start date
2020-01-01
Completion date
Unknown
Last updated
2019-04-15

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

Conditions

Breast Cancer

Interventions

Gold Standard:Pathological examination
Index test:Bates-Jensen&#32
Wound&#32
Assessment&#32
Tool,BWAT

Sponsors

Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: (1) over 18 years old, conscious, willing to participate in this study; (2) through pathological diagnosis diagnosed as breast cancer; (3) wound site pathologically diagnosed as primary or metastatic breast cancer infiltration caused by skin injury.

Exclusion criteria

Exclusion criteria: (1) patients with brain metastasis; (2) patients with cognitive impairment; (3) patients participating in other clinical trials.

Design outcomes

Primary

MeasureTime frame
Wound size;Wound depth;Wound edge;Wound stealth;number of necrotic tissue;type of necrotic tissue;type of ooze;number of ooze;skin color around the wound;peripheral tissue edema;peripheral tissue sclerosis;granulation tissue;epithelialization;

Countries

China

Contacts

Public ContactXin Peng

Wuhan Union Hospital

200507365@qq.com+86 15071399933

Outcome results

None listed

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