Breast cancer
Conditions
Interventions
None listed
Sponsors
Comprehensive Support Project for Oncology Research for Breast Cancer (CSPOR-BC)
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: Digital mammography images fulfilling all the following criteria are collected. 1.Taken after 2010 2.Images meeting either one of the following criteria >Visible breast cancer or benign lesions on images >Normal breast 3.If cancer or benign lesions are visible on images, their outlines can be traced manually 4.Images from patients aged 20 or older 5.Available mediolateral oblique (MLO) view with or without cranial-caudal view (CC) 6.No visible axillary lymph node metastasis from breast cancer 7.Images from patients with no previous history of chemotherapy, endocrine therapy or radiotherapy. 8.Images from patients who have not received any previous surgical breast procedure including partial resection, breast reconstruction, incisional biopsy, vacuum-assisted biopsy and mammoplasty 9.Read by readers ranked A according to the Japan Central Organization on Quality Assurance of Breast Cancer Screening 10.Benign lesions, breast cancer and normal breast on images are confirmed by the following criteria (Benign lesions) Meeting one of the following criteria >Confirmed by histopathology >Without malignancy development over at least 2 years of follow-up >Findings clearly indicating a simple cyst by mammmography and other imaging modalities (Breast cancer) >Confirmed by histopathology (Normal breast) Meeting either one of the following criteria >In addition to the findings of mammography, ultrasonography and MRI do not detect any lesions. >Without malignancy development over at least 2 years of follow-up when no other imaging modalities except mammography are performed.
Exclusion criteria
Exclusion criteria: Digital mammography images fulfilling any of the following criteria are not collected. 1.Tomosynthesis and synthetic 2D mammographic images 2.Spot compression views 3.Poor image quality 4.Inappropriate images as judged by the local investigators
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The sensitivity and specificity of the AI system to detect breast cancer with the test image set. | — |
Countries
Japan
Contacts
Public ContactHirofumi Mukai
National Cancer Center Hospital East Division of Breast and Medical oncology
Outcome results
None listed