Development of automated tumor tracking system using artificial intelligence in breast cancer patients and improvement of breast conservation through 3D printing surgery guide and validation of volume navigation ultrasound

Development of Deep Learning-based Tumor Tracking System for Breast Cancer Patients and Improvement of Breast Conservation through 3D Printing Surgical Guide and Validation of Volume Navigation Ultrasound

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0003043

Enrollment

Registered

2018-07-31

Start date

2018-08-06

Completion date

Unknown

Last updated

2019-03-11

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

Conditions

None listed

Interventions

Medical Device : Apply surgical guide made using 3D printing technology based on MRI information in breast conservation surgery

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: 1. Breast cancer patients 2. Patients who can perform partial resection of breast

Exclusion criteria

Exclusion criteria: 1. Patients with contraindications to MRI, CT 2. Patients scheduled to undergo total resection of breast 3. If the patient refuses

Design outcomes

Primary

Measure	Time frame
Tumor involvement in the margin of the removed breast specimen;Size of removed breast specimen and size of tumor	—

Secondary

Measure	Time frame
Tumor involvement in the margin of the frozen section;Identification of tumor area by ultrasound during surgery	—

Countries

Korea, Republic of

Contacts

Public ContactBeomseok Ko

Asan Medical Center

spdoctor@naver.com+82-2-3010-5810

Outcome results