Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection
Autor: | Seungryong Cho, Sohail Sabir, Yejin Kim, Eun Young Chae, Young Min Bae, Hak Hee Kim, Hyeongseok Kim, Kee Hyun Kim, Sungho Yoon, Young-Wook Choi, Duchang Heo, Jong Chul Ye |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Adult Technical success lcsh:Medicine Breast Neoplasms Article 03 medical and health sciences 0302 clinical medicine Breast cancer Image Processing Computer-Assisted Medicine Humans Tomography Optical lcsh:Science Cancer Image fusion Multidisciplinary Near infrared light Receiver operating characteristic business.industry lcsh:R Digital Breast Tomosynthesis Middle Aged medicine.disease Diffuse optical imaging 030104 developmental biology Oncology lcsh:Q Female business Nuclear medicine 030217 neurology & neurosurgery Mammography |
Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) |
ISSN: | 2045-2322 |
Popis: | Diffuse optical tomography (DOT) non-invasively measures the functional characteristics of breast lesions using near infrared light to probe tissue optical properties. This study aimed to evaluate a new digital breast tomosynthesis (DBT)/DOT fusion imaging technique and obtain preliminary data for breast cancer detection. Twenty-eight women were prospectively enrolled and underwent both DBT and DOT examinations. DBT/DOT fusion imaging was created after acquisition of both examinations. Two breast radiologists analyzed DBT and DOT images independently, and then finally evaluated the fusion images. The diagnostic performance of each reading session was compared and interobserver agreement was assessed. The technical success rate was 96.4%, with one failure due to an error during DOT data storage. Among the 27 women finally included in the analysis, 13 had breast cancer. The areas under the receiver operating characteristic curve (AUCs) for DBT were 0.783 and 0.854 for readers 1 and 2, respectively. DOT showed comparable diagnostic performance to DBT for both readers. The AUCs were significantly improved (P = 0.004) when the DBT/DOT fusion images were used. Interobserver agreements were highest for the DBT/DOT fusion images. In conclusion, this study suggests that DBT/DOT fusion imaging technique appears to be a promising tool for breast cancer diagnosis. |
Databáze: | OpenAIRE |
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