NIPH Clinical Trials Search

JAPANESE
国立保健医療科学院
JRCT ID: jRCT1032220325

Registered date:08/09/2022

Assessment of AI Breast Accuracy and Reproducibility

Basic Information

Recruitment status Not Recruiting
Health condition(s) or Problem(s) studiedBreast Cancer
Date of first enrollment15/05/2023
Target sample size15
Countries of recruitment
Study typeInterventional
Intervention(s)After observing and recording the breast cancer lesion by ultrasonography, the localization of the lesion (clock board display) is recorded by the Auto Annotate function of AI Breast. We will compare the distance between nipple and tumors calculated from CT / MR images, the distance in the X / Y axis direction, and the tumor localization (conversion from polar coordinates to Cartesian coordinates) acquired by the Auto Annotate function. Inaddition, the maximum major axis of the coronal section image reconstructed from the volume data of the ultrasonography and the coronal section image of the CT / MR image is compared.We will also compare the reproducibility of the AI Breast function.

Outcome(s)

Primary OutcomeComparison of nipple-to-tumor distance calculated from CT / MR images and AI Breast.
Secondary OutcomeComparison of nipple-to-tumor distance in the X / Y axis direction calculated from CT / MR images and AI Breast. Comparison of maximum major axis of lesion site in coronal section calculated from CT / MR image and AI Breast. Comparison of nipple-to-tumor distance calculated from the AI Breast of the initial and follow-up tests.

Key inclusion & exclusion criteria

Age minimum>= 20age old
Age maximumNot applicable
GenderFemale
Include criteriaBreast cancer pathologically diagnosed by tissue biopsy. 20 years old or above(Female). Subjects has or will be undergoing MR or CT exam of the breast. Subjects who have a breast lesion visible under ultrasound.
Exclude criteriaSubjects that do not have lesions visible under either ultrasound, CT or MR during the initial examination. Subjects with an implemented pacemaker. Breast cancer patients receiving or will receive preoperative medication.

Related Information

Contact

Public contact
Name Junta Sakakibara
Address 1-8-1, Inohana, Chuo-ku, Chiba-city, Chiba Chiba Japan 260-8677
Telephone +81-43-222-7171
E-mail sakakibara-junta@chiba-u.jp
Affiliation Chiba University Hospital
Scientific contact
Name Junta Sakakibara
Address 1-8-1, Inohana, Chuo-ku, Chiba-city, Chiba Chiba Japan 260-8677
Telephone +81-43-222-7171
E-mail sakakibara-junta@chiba-u.jp
Affiliation Chiba University Hospital