| Recruitment status | No longer recruiting |
| Unique ID issued by UMIN | UMIN000029996 |
| Receipt No. | R000034243 |
| Scientific Title | Multicenter study on computer-aided detection from mammography using convolutional neural network |
| Date of disclosure of the study information | 2017/11/16 |
| Last modified on | 2020/01/20 (Ver. 5) |
| Basic information | ||
| Public title | Multicenter study on computer-aided detection from mammography using convolutional neural network | |
| Acronym | KBOG1701 trial | |
| Scientific Title | Multicenter study on computer-aided detection from mammography using convolutional neural network | |
| Scientific Title:Acronym | KBOG1701 trial | |
| Region |
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| Condition | ||
| Condition | Breast cancer | |
| Classification by specialty |
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| Classification by malignancy | Malignancy | |
| Genomic information | NO | |
| Objectives | |
| Narrative objectives1 | Computer-aided detection of mammography using deep learning |
| Basic objectives2 | Efficacy |
| Basic objectives -Others | |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | Accuracy
Sensitivity Specificity |
| Key secondary outcomes | |
| Base | |
| Study type | Observational |
| Study design | |
| Basic design | |
| Randomization | |
| Randomization unit | |
| Blinding | |
| Control | |
| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
| No. of arms | |
| Purpose of intervention | |
| Type of intervention | |
| Interventions/Control_1 | |
| Interventions/Control_2 | |
| Interventions/Control_3 | |
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| Interventions/Control_8 | |
| Interventions/Control_9 | |
| Interventions/Control_10 | |
| Eligibility | ||||
| Age-lower limit |
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| Age-upper limit |
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| Gender | Female | |||
| Key inclusion criteria | biopsy-proven lesion, either benign or malignant
apparently markable on mammography for multiple lesions, markable at each lesion |
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| Key exclusion criteria | treated by neoadjuvant therapy
treated by surgery breast tomosynthesis PET mammography mammography with severely low resolution |
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| Target sample size | 15000 | |||
| Research contact person | |||||||
| Name of lead principal investigator |
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| Organization | Tokai University | ||||||
| Division name | Dept. of Endocrine & Breast Surgery | ||||||
| Zip code | 259-1292 | ||||||
| Address | 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1291 | ||||||
| TEL | 0463-58-1211 | ||||||
| tokuda@is.icc.u-tokai.ac.jp | |||||||
| Public contact | |||||||
| Name of contact person |
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| Organization | Shonan Memorial Hospital | ||||||
| Division name | Breast Cancer Center | ||||||
| Zip code | 248-0027 | ||||||
| Address | 2-2-60 Fueda, Kamakura, Kanagawa 248-0027 | ||||||
| TEL | 0467-32-3456 | ||||||
| Homepage URL | |||||||
| kinoue@syonankinenhp.or.jp | |||||||
| Sponsor | |
| Institute | Kanagawa Breast Oncology Group (KBOG) |
| Institute | |
| Department | |
| Funding Source | |
| Organization | Kanagawa Breast Oncology Group (KBOG) |
| Organization | |
| Division | |
| Category of Funding Organization | Self funding |
| Nationality of Funding Organization | |
| Other related organizations | |
| Co-sponsor | |
| Name of secondary funder(s) | |
| IRB Contact (For public release) | |
| Organization | Shonan Memorial Hospital |
| Address | 2-2-60 Fueda, Kamakura, Kanagawa 248-0027 |
| Tel | 0467-32-3456 |
| info@syonankinenhp.or.jp | |
| Secondary IDs | |
| Secondary IDs | NO |
| Study ID_1 | |
| Org. issuing International ID_1 | |
| Study ID_2 | |
| Org. issuing International ID_2 | |
| IND to MHLW | |
| Institutions | |
| Institutions | |
| Other administrative information | |||||||
| Date of disclosure of the study information |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
| Result | |
| URL related to results and publications | |
| Number of participants that the trial has enrolled | 9 |
| Results | |
| Results date posted | |
| Results Delayed | |
| Results Delay Reason | |
| Date of the first journal publication of results | |
| Baseline Characteristics | |
| Participant flow | |
| Adverse events | |
| Outcome measures | |
| Plan to share IPD | |
| IPD sharing Plan description | |
| Progress | |||||||
| Recruitment status | No longer recruiting | ||||||
| Date of protocol fixation |
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| Date of IRB |
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| Anticipated trial start date |
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| Last follow-up date |
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| Date trial data considered complete | |||||||
| Date analysis concluded | |||||||
| Other | |
| Other related information | Automatically cropped images from mammography are labeled whether breast cancer patterns are drawn. Images are used as input for the supervised learning using deep learning. |
| Management information | |||||||
| Registered date |
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| Last modified on |
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| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000034243 |