Unique ID issued by UMIN | UMIN000039371 |
---|---|
Receipt number | 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 15:26:53 |
Study of artificial intelligence to diagnose rheumatoid arthritis
Study of artificial intelligence to diagnose rheumatoid arthritis
Study of convolutional neural network for classification of two-dimensional array images generated by clinical information in rheumatoid arthritis
Study of convolutional neural network to diagnose rheumatoid arthritis
Japan |
Rheumatoid arthritis
Clinical immunology |
Others
NO
This research aimed to study use of convolutional neural network (CNN) for diagnosis of rheumatoid arthritis (RA).
Others
Ability to diagnose rheumatoid arthritis
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.
We compared the classification ability of the CNN and diagnosis of rheumatologists.
Observational
18 | years-old | < |
90 | years-old | >= |
Male and Female
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.
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.
500
1st name | Jun |
Middle name | |
Last name | Fukae |
Hokkaido Medical Center for Rheumatic Diseases
Rheumatology
063-0811
1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan.
81-11-611-1373
jun.fukae@ryumachi-jp.com
1st name | Jun |
Middle name | |
Last name | Fukae |
Hokkaido Medical Center for Rheumatic Diseases
Rheumatology
063-0811
1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan.
81-11-611-1373
http://www.ra-hp.jp/clinical_research.html
jun.fukae@ryumachi-jp.com
Hokkaido Medical Center for Rheumatic Diseases
Hokkaido Medical Center for Rheumatic Diseases
Self funding
Local ethics committees of Hokkaido Medical Center for Rheumatic Diseases
1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo 063-0811, Japan.
81-11-611-1373
jun.fukae@ryumachi-jp.com
NO
2020 | Year | 02 | Month | 10 | Day |
Published
https://www.nature.com/articles/s41598-020-62634-3
249
Completed
2018 | Year | 11 | Month | 01 | Day |
2019 | Year | 03 | Month | 19 | Day |
2019 | Year | 10 | Month | 01 | Day |
2020 | Year | 06 | Month | 01 | Day |
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.
2020 | Year | 02 | Month | 03 | Day |
2020 | Year | 04 | Month | 03 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000044893