Unique ID issued by UMIN | UMIN000049479 |
---|---|
Receipt number | R000056330 |
Scientific Title | Mammography Screening for Japanese Women using Artificial Intelligence: A Randomized Crossover trial |
Date of disclosure of the study information | 2022/11/11 |
Last modified on | 2022/11/11 18:58:12 |
Mammography Screening for Japanese Women using Artificial Intelligence: A Randomized Crossover trial
MAJIC trial
Mammography Screening for Japanese Women using Artificial Intelligence: A Randomized Crossover trial
MAJIC trial
Japan |
Breast cancer
Breast surgery |
Malignancy
NO
This study aims to evaluate whether an artificial intelligence (AI) system developed for breast cancer diagnosis in mammography could improve readers' accuracy of diagnosis.
Efficacy
Confirmatory
The primary endpoint is an area under the receiver operating characteristic (ROC) curve (AUROC) of a likelihood of malignancy (LOM) score.
Interventional
Cross-over
Randomized
Individual
Open -no one is blinded
Active
YES
NO
Institution is not considered as adjustment factor.
NO
No need to know
2
Diagnosis
Device,equipment |
Read by readers with the use of artificial intelligence to support mammography reading.
Read by readers alone
20 | years-old | <= |
Not applicable |
Female
Digital mammograms fulfilling all the following criteria will be collected.
1. Images taken after 2010
2. Images meeting either one of the following criteria:
> Breast cancer or benign lesions are visible on the image
> Normal imaging
3. Cancer or benign lesions can be pointed out on the image
4. Images from patients aged 20 or older
5. Available mediolateral oblique view with or without a cranial-caudal view
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 mammography readers equivalent to rank A or AS according to the Japan Central Organization on Quality Assurance of Breast Cancer Screening
10. Benign lesions, breast cancer, and normal breast imaging are confirmed by the following methods:
(Benign lesions)
Meeting either one of the following criteria,
>Confirmed by histopathology
>If followed up, no change on the image is identified over at least two years
>Findings clearly indicating a simple cyst by mammography and other imaging modalities
(Breast cancer)
>Confirmed by histopathology
(Normal breast)
Meeting either one of the following criteria
>In addition to the mammography findings, other imaging modalities such as ultrasonography and MRI do not detect any lesions.
>If no other imaging studies are carried out, no new abnormalities develop over at least two years of follow-up.
11. Images taken at rank A or B institutions in the facility evaluation according to the Japan Central Organization on Quality Assurance of Breast Cancer Screening
12. Images from patients with written informed consent obtained
Digital mammograms fulfilling any of the following criteria will not be collected.
1. Tomosynthesis and synthetic 2D mammographic images
2. Images with spot compression views
3. Poor image quality
4. Inappropriate images, as judged by the local investigators
300
1st name | Koichi |
Middle name | |
Last name | Hirokaga |
Hyogo Cancer Center
Department of Breast Surgery
673-8558
13-70, Kitaoji-cho, Akashi-shi, Hyogo, 673-8558, Japan
078-929-1151
hirokaga@hp.pref.hyogo.jp
1st name | Office |
Middle name | |
Last name | Comprehensive Support Project Oncological Research of Breast Cancer |
Comprehensive Support Project Oncological Research of Breast Cancer
Office
277-0871
Satellite no.502 in front of Kashiwanoha Campus, The University of Tokyo, 178-4-4 Wakashiba, Kashiwa
04-7135-5609
office-bc@cspor-bc.or.jp
Comprehensive Support Project Oncological Research of Breast Cancer
Comprehensive Support Project Oncological Research of Breast Cancer
Other
Hyogo Cancer Center IRB
13-70, Kitaoji-cho, Akashi-shi, Hyogo, 673-8558, Japan
078-929-1151
rinsyoshikenkanri6@hyogo-cc.jp
NO
2022 | Year | 11 | Month | 11 | Day |
Unpublished
Open public recruiting
2022 | Year | 06 | Month | 09 | Day |
2022 | Year | 06 | Month | 24 | Day |
2022 | Year | 06 | Month | 25 | Day |
2023 | Year | 03 | Month | 31 | Day |
2022 | Year | 11 | Month | 11 | Day |
2022 | Year | 11 | Month | 11 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000056330
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