Predicting the treatment effect of heavy ion particle therapy for cervical cancer: Mathematical modeling and machine learning

Predicting the treatment effect of heavy ion particle therapy for cervical cancer: Mathematical modeling and machine learning - Predicting the treatment effect of heavy ion particle therapy for cervical cancer: Mathematical modeling and machine learning

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000055069

Enrollment

250

Registered

2024-07-25

Start date

2023-09-06

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

cervical cancer

Interventions

None listed

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: The study subjects are patients who underwent heavy ion therapy for cervical cancer at QST Hospital between June 1995 and May 2023.

Exclusion criteria

Exclusion criteria: Patient data for which the subject of the research has requested that it not be used shall be excluded.

Design outcomes

Primary

Measure	Time frame
Check the extent to which the results of the treatment effect prediction model created and the actual treatment effect match the following items for consideration. Items for consideration: local control rate, recurrence-free survival rate, distant metastasis incidence rate, overall survival rate, etc.	—

Countries

Japan

Contacts

Public ContactKazutoshi Murata

National Institutes for Quantum Science and Technology QST hospital Department of Diagnostic Radiology and Radiation Oncology

murata.kazutoshi@qst.go.jp0432063306

Outcome results