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Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection.
Chae, Eun Young; Kim, Hak Hee; Sabir, Sohail; Kim, Yejin; Kim, Hyeongseok; Yoon, Sungho; Ye, Jong Chul; Cho, Seungryong; Heo, Duchang; Kim, Kee Hyun; Bae, Young Min; Choi, Young-Wook.
Afiliação
  • Chae EY; Department of Radiology, Research Institute of Radiology University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea.
  • Kim HH; Department of Radiology, Research Institute of Radiology University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea. hhkim@amc.seoul.kr.
  • Sabir S; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Kim Y; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Kim H; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Yoon S; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Ye JC; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Cho S; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Heo D; KAIST Institutes for ITC, HST, and AI, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea.
  • Kim KH; Korea Electrotechnology Research Institute (KERI), 111, Hanggaul-ro, Sangnok-gu, Ansan, 15588, South Korea.
  • Bae YM; Korea Electrotechnology Research Institute (KERI), 111, Hanggaul-ro, Sangnok-gu, Ansan, 15588, South Korea.
  • Choi YW; Korea Electrotechnology Research Institute (KERI), 111, Hanggaul-ro, Sangnok-gu, Ansan, 15588, South Korea.
Sci Rep ; 10(1): 13127, 2020 08 04.
Article em En | MEDLINE | ID: mdl-32753578
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias da Mama / Mamografia / Tomografia Óptica Tipo de estudo: Diagnostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias da Mama / Mamografia / Tomografia Óptica Tipo de estudo: Diagnostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Coréia do Sul