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Computer-aided diagnosis system for bone scintigrams from Japanese patients: importance of training database.

Abstract：

AIM:Computer-aided diagnosis (CAD) software for bone scintigrams have recently been introduced as a clinical quality assurance tool. The purpose of this study was to compare the diagnostic accuracy of two CAD systems, one based on a European and one on a Japanese training database, in a group of bone scans from Japanese patients. METHOD:The two CAD software are trained to interpret bone scans using training databases consisting of bone scans with the desired interpretation, metastatic disease or not. One software was trained using 795 bone scans from European patients and the other with 904 bone scans from Japanese patients. The two CAD softwares were evaluated using the same group of 257 Japanese patients, who underwent bone scintigraphy because of suspected metastases of malignant tumors in 2009. The final diagnostic results made by clinicians were used as gold standard. RESULTS:The Japanese CAD software showed a higher specificity and accuracy compared to the European CAD software [81 vs. 57 % (p < 0.05) and 82 vs. 61 % (p < 0.05), respectively]. The sensitivity was 90 % for the Japanese CAD software and 83 % for the European CAD software (n.s). CONCLUSION:The CAD software trained with a Japanese database showed significantly higher performance than the corresponding CAD software trained with a European database for the analysis of bone scans from Japanese patients. These results could at least partly be caused by the physical differences between Japanese and European patients resulting in less influence of attenuation in Japanese patients and possible different judgement of count intensities of hot spots.

journal_name

Ann Nucl Med

journal_title

Annals of nuclear medicine

authors

Horikoshi H,Kikuchi A,Onoguchi M,Sjöstrand K,Edenbrandt L

doi

10.1007/s12149-012-0620-5

subject

Has Abstract

pub_date

2012-10-01 00:00:00

pages

622-6

issue

8

eissn

0914-7187

issn

1864-6433

journal_volume

26

pub_type

杂志文章

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