Unique ID issued by UMIN | UMIN000037189 |
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Receipt number | R000042391 |
Scientific Title | Evaluation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule |
Date of disclosure of the study information | 2019/08/01 |
Last modified on | 2022/06/29 10:45:23 |
Evaluation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule
Evaluation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule
Evaluation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule
Evaluation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule
Japan |
lung nodule
Radiology |
Others
NO
Validation of Computer-Assisted-Detection (CAD) software for Chest X-ray lung Nodule
Efficacy
ROC analysis, AUC
Sensitivity, Specificity, Ratio of false positive and Ratio of false negative.
Observational
20 | years-old | <= |
100 | years-old | >= |
Male and Female
1) Patient who can be taken normal exams.
2) The resolution is bigger than 1750 x 1750 pixels.
1) No significant artifact or objects such as electrocardiograph.
2) Wrong/broken DICOM format.
3) The nodule size is less than 5mm or bigger than 30mm.
4) Diffused.
5) Other than circular shape.
6) Overlapped with organs.
7) Principal investigator determine as improper data.
320
1st name | Akira |
Middle name | |
Last name | Yamamoto |
Osaka City University, Graduate School of Medicine
Department of Diagnostic and Interventional Radiology
545-8585
1-4-3, Asahi-machi, Abeno-ku, Osaka
06-6645-3831
radiology@med.osaka-cu.ac.jp
1st name | Daiju |
Middle name | |
Last name | Ueda |
Osaka City University, Graduate School of Medicine
Department of Diagnostic and Interventional Radiology
545-8585
1-4-3, Asahi-machi, Abeno-ku, Osaka
06-6645-3831
http://ocu-radiology.jp/page-1392/
radiology@med.osaka-cu.ac.jp
Osaka City University, Graduate School of Medicine
lpixel inc.
Profit organization
Osaka City University School of Medicine / University Hospital Management Office
1-2-7-601, Asahi-machi, Abeno-ku, Osaka
06-6645-3456
ethics@med.osaka-cu.ac.jp
NO
2019 | Year | 08 | Month | 01 | Day |
https://doi.org/10.1186/s12885-021-08847-9
Published
https://doi.org/10.1186/s12885-021-08847-9
312
The overall increase in the ratios of sensitivity, specificity, accuracy, PPV, and NPV were 1.22 (1.14-1.30), 1.00 (1.00-1.01), 1.03 (1.02-1.04), 1.07 (1.0-1.11), and 1.02 (1.01-1.03) by using the CAD, respectively.
2022 | Year | 06 | Month | 29 | Day |
In total, 312 chest radiographs were collected as a test dataset, including 59 malignant images (59 nodules of lung cancer) and 253 normal images.
The eligibility criteria for the radiographs were as follows: (1) Mass lesions larger than 30 mm in size were excluded. (2) Metastatic lung cancer that was not primary to the lung was excluded. (3) Lung cancers showing anything other than nodular lesions on radiograph were excluded. (4) Nodules in the chest radiographs were annotated with bounding box, referring to chest CT images by two board-certificated radiologists
Nothing
Accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV)
Completed
2019 | Year | 06 | Month | 08 | Day |
2019 | Year | 06 | Month | 27 | Day |
2019 | Year | 08 | Month | 01 | Day |
2019 | Year | 12 | Month | 01 | Day |
multicenter, prospective observational study
2019 | Year | 06 | Month | 27 | Day |
2022 | Year | 06 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000042391
Research Plan | |
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Registered date | File name |
2020/06/29 | Plan.docx |
Research case data specifications | |
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Registered date | File name |
2020/06/29 | The data specification.docx |
Research case data | |
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Registered date | File name |
2020/06/29 | last_results.csv |
Value
https://center6.umin.ac.jp/ice/42391