Literature DB >> 32074529

[Comparison of Detectability for the New Image Processing and Conventional Image Processing by ROC Analysis: A Phantom Study of Chest Radiography].

Masato Kiriki1, Takao Osaki1, Hideo Nakagawa1, Mitsuru Nakamura1, Keita Fujikawa1, Kenji Nakamura1, Keisuke Kikuchi1, Yasuhiko Hama1, Yu Hagiwara1, Noriko Kotoura1.   

Abstract

The purpose of this study is to compare the detectability of diseases the new image processing and the conventional image processing by receiver operating characteristic (ROC) analysis and to show the usefulness of the new image processing. Radiographs with and without nodular cancer models in the chest phantom were used for observation samples. Totally 200 radiographs were evaluated by 10 radiological technologists (each readers had over 20 years or under 4 years of experience). The mean area under the curve (AUC) calculated from the over 20 years group was 0.754 for the new processing and 0.771 for the conventional processing (p value=0.651, 95% confidence interval=-0.084/0.049 (lower bound/upper bound)). On the other hand, the average AUC calculated from under 4 years group was 0.819 for the new processing and 0.678 for the conventional processing (p value= 0.041, 95% confidence interval=0.019/0.262 (lower bound/upper bound)). New image processing provides high detectability in less than 4 years group compared to conventional processing.

Entities:  

Keywords:  chest radiography; digital radiography; new image processing method; receiver operating characteristic analysis

Year:  2020        PMID: 32074529     DOI: 10.6009/jjrt.2020_JSRT_76.2.203

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  1 in total

1.  Image Quality Evaluation of a Digital Radiography System Made in Thailand.

Authors:  Udomchai Techavipoo; Nattawut Sinsuebphon; Sakunrat Prompalit; Saowapak Thongvigitmanee; Walita Narkbuakaew; Atthasak Kiang-Ia; Tanapon Srivongsa; Pairash Thajchayapong; Utairat Chaumrattanakul
Journal:  Biomed Res Int       Date:  2021-11-16       Impact factor: 3.411

  1 in total

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