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Deep Neural Network Based Artificial Intelligence System for Bone Scintigraphy Evaluation of Cancer Bone Metastasis

Deep Neural Network Based Artificial Intelligence System for Bone Scintigraphy Evaluation of Cancer Bone Metastasis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000029428
Enrollment
Unknown
Registered
2020-02-01
Start date
2020-02-01
Completion date
Unknown
Last updated
2020-02-03

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

Conditions

cancer bone metastasis

Interventions

Gold Standard:Nuclear medicine radiologist's judgement
Index test:artificial&#32
intelligence&#32
(AI)&#32
model

Sponsors

Department of Nuclear Medicine, West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 90 Years

Inclusion criteria

Inclusion criteria: We collected images from individual patients who were suspected to have bone metastasis and underwent whole-body BS between January 1st, 2016, and December 30th, 2018.

Exclusion criteria

Exclusion criteria: Then, cases with improper injection, improper imaging process, and poor image quality, the patients who had primary bone tumor and the ones did not undergo follow-up examinations were excluded as well.

Design outcomes

Primary

MeasureTime frame
areas under curve of receiver operating characteristic;sensitivity;speci?city;accuracy;—

Countries

China

Contacts

Public ContactZhen Zhao

West China Hospital, Sichuan University

zhaozhen1982@126.com+86 13408418720

Outcome results

None listed

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