| Recruitment status | Completed |
| Unique ID issued by UMIN | UMIN000039371 |
| Receipt No. | R000044893 |
| Scientific Title | Study of convolutional neural network for classification of two-dimensional array images generated by clinical information in rheumatoid arthritis |
| Date of disclosure of the study information | 2020/02/10 |
| Last modified on | 2020/04/03 (Ver. 4) |
| Basic information | ||
| Public title | Study of artificial intelligence to diagnose rheumatoid arthritis | |
| Acronym | Study of artificial intelligence to diagnose rheumatoid arthritis | |
| Scientific Title | Study of convolutional neural network for classification of two-dimensional array images generated by clinical information in rheumatoid arthritis | |
| Scientific Title:Acronym | Study of convolutional neural network to diagnose rheumatoid arthritis | |
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| Condition | ||
| Condition | Rheumatoid arthritis | |
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| Classification by malignancy | Others | |
| Genomic information | NO | |
| Objectives | |
| Narrative objectives1 | This research aimed to study use of convolutional neural network (CNN) for diagnosis of rheumatoid arthritis (RA). |
| Basic objectives2 | Others |
| Basic objectives -Others | Ability to diagnose rheumatoid arthritis |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | We semi-quantitatively converted several clinical information obtained from first visit in hospital to four color square images and arranged them as one image. Some modifications were added to clinical information in each patient to increase tuning data. These were used to fine-tune one of the pretrained CNNs, AlexNet. The fine-tuned AlexNet classified testing images that were independent of the tuning data. |
| Key secondary outcomes | We compared the classification ability of the CNN and diagnosis of rheumatologists. |
| Base | |
| Study type | Observational |
| Study design | |
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| Eligibility | ||||
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| Gender | Male and Female | |||
| Key inclusion criteria | In this study, undiagnosed patients with arthralgia in their fingers or wrists who first visited hospital during 1 January to 31 May 2019 were enrolled. | |||
| Key exclusion criteria | The study outline was published on the hospital's homepag and an opt-out management strategy was used to collect the patient information. Patients who did not hope to participate in were excluded. Patients judged by doctors to be inappropriate for the study were excluded. | |||
| Target sample size | 500 | |||
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| Organization | Hokkaido Medical Center for Rheumatic Diseases | ||||||
| Division name | Rheumatology | ||||||
| Zip code | 063-0811 | ||||||
| Address | 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan. | ||||||
| TEL | 81-11-611-1373 | ||||||
| jun.fukae@ryumachi-jp.com | |||||||
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| Name of contact person |
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| Organization | Hokkaido Medical Center for Rheumatic Diseases | ||||||
| Division name | Rheumatology | ||||||
| Zip code | 063-0811 | ||||||
| Address | 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan. | ||||||
| TEL | 81-11-611-1373 | ||||||
| Homepage URL | http://www.ra-hp.jp/clinical_research.html | ||||||
| jun.fukae@ryumachi-jp.com | |||||||
| Sponsor | |
| Institute | Hokkaido Medical Center for Rheumatic Diseases |
| Institute | |
| Department | |
| Funding Source | |
| Organization | Hokkaido Medical Center for Rheumatic Diseases |
| Organization | |
| Division | |
| Category of Funding Organization | Self funding |
| Nationality of Funding Organization | |
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| IRB Contact (For public release) | |
| Organization | Local ethics committees of Hokkaido Medical Center for Rheumatic Diseases |
| Address | 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan. |
| Tel | 81-11-611-1373 |
| jun.fukae@ryumachi-jp.com | |
| Secondary IDs | |
| Secondary IDs | NO |
| Study ID_1 | |
| Org. issuing International ID_1 | |
| Study ID_2 | |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Published |
| Result | |
| URL related to results and publications | https://www.nature.com/articles/s41598-020-62634-3 |
| Number of participants that the trial has enrolled | 249 |
| Results | |
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| Baseline Characteristics | |
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| Progress | |||||||
| Recruitment status | Completed | ||||||
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| Other | |
| Other related information | This study was retrospective study. We collected patients data (01,Jan-31,May,2019) based on records. The data collecting and analyswas started from 01,Oct,2019. |
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| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000044893 |