Unique ID issued by UMIN | UMIN000041463 |
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Receipt number | R000047332 |
Scientific Title | Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN |
Date of disclosure of the study information | 2021/03/31 |
Last modified on | 2020/08/19 11:06:29 |
Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN
Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN
Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN
Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN
Japan |
Breast cancer
Breast surgery |
Malignancy
NO
Create an algorithm to discriminate between
benign and malignant binary values on the
ultrasonic image of the case where the
breast ultrasonic examination was performed, and examine the discrimination accuracy and the basis of the determination.
Others
usefulness
Exploratory
Others
Not applicable
Examine the usefulness of an AI model that distinguishes benign and malignant tumors by calculating sensitivity, specificity, accuracy, and AUC.
Observational
Not applicable |
Not applicable |
Male and Female
Among the cases in the image database* managed by the JABTS Terminology Criteria Committee, those who underwent ultrasound examination from September 2009 to December 2009, breasts from November 2011 to December 2015 Patients who have undergone ultrasound examination and who meet the following
1. A mass lesion has already been recognized.
2. The results of definitive diagnosis or B-mode category judgment are linked.
1.typical cyst
2.Tumor-forming lesions of 5 cm or more.
3.Previously observed lesions
4.Vacuum-assisted biopsy in another hospital
2613
1st name | Takuhiro |
Middle name | |
Last name | Yamaguchi |
Tohoku University Graduate school of Medicine
Bio Statistics
980-8574
1-1 Seiryo-machi,Aoba-ku,Sendai,Miyagi,Japan
022-717-7659
yamaguchi@med.tohoku.ac.jp
1st name | Takuhiro |
Middle name | |
Last name | Yamaguchi |
Tohoku University Graduate school of Medicine
Bio Statistics
980-8574
1-1 Seiryo-machi,Aoba-ku,Sendai,Miyagi,Japan
022-717-7659
yamaguchi@med.tohoku.ac.jp
Tohoku University Graduate school of Medicine,Bio Statistics
SAS Institute Japan Ltd
Profit organization
MHLW Certified Clinical Research Review Board, Tohoku University
2-1-1 Katahira, Aoba-ku, Sendai, Miyagi
022-718-0461
office@nrs.hosp.tohoku.ac.jp
NO
2021 | Year | 03 | Month | 31 | Day |
Unpublished
2613
No longer recruiting
2020 | Year | 01 | Month | 09 | Day |
2020 | Year | 03 | Month | 23 | Day |
2020 | Year | 04 | Month | 01 | Day |
2021 | Year | 03 | Month | 31 | Day |
collect the maximum number of cases that can be collected
2020 | Year | 08 | Month | 19 | Day |
2020 | Year | 08 | Month | 19 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047332
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