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Validation study of algorithms predicting axillary lymph node metastasis from primary breast cancer and predicting the treatment response to neoadjuvant chemotherapy.

Validation study of algorithms predicting axillary lymph node metastasis from primary breast cancer and predicting the treatment response to neoadjuvant chemotherapy. - Validation study of algorithms predicting axillary lymph node metastasis from primary breast cancer and predicting the treatment response to neoadjuvant chemotherapy.

Status
Unknown
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000002107
Enrollment
400
Registered
2009-06-24
Start date
2009-04-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Breast cancer

Interventions

None listed

Sponsors

Department of Breast Surgery, Graduate School of Medicine, Kyoto University
Lead Sponsor
Institute for Advanced Biosciences, Keio University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Histologically confirmed breast cancer patient. 2.Primary breast cancer patient 3.Patient performed sentinel lymph node biopsy or axillary lymph node dissection, or patient performed neoadjuvant chemotherapy

Exclusion criteria

Exclusion criteria: Not applicable

Design outcomes

Primary

MeasureTime frame
Area under the ROC curve—

Countries

Japan

Contacts

Public ContactMasahiro Takada

Graduate School of Medicine, Kyoto University Department of Breast Surgery

masahiro@kuhp.kyoto-u.ac.jp075-751-3660

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026