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Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts.
Jia, Mengmeng; Lin, Xi; Zhou, Xiang; Yan, Huijiao; Chen, Yaqing; Liu, Peifang; Bao, Lingyun; Li, Anhua; Basu, Partha; Qiao, Youlin; Sankaranarayanan, Rengaswamy.
Afiliación
  • Jia M; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
  • Lin X; State Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Zhou X; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
  • Yan H; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
  • Chen Y; Xin Hua Hospital, Affiliated To Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
  • Liu P; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
  • Bao L; The First People's Hospital of Hangzhou, Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, 310006, China.
  • Li A; State Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Basu P; Screening Group, Early Detection and Prevention Section, International Agency for Research On Cancer, WHO, 150 Cours Albert ThomasCedex 08, 69372, Lyon, France.
  • Qiao Y; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. qiaoy@cicams.ac.cn.
  • Sankaranarayanan R; Research Triangle Institute, International-India, Commercial Tower, Pullman Hotel Aerocity, New Delhi, 100037, India.
Breast Cancer Res Treat ; 181(3): 589-597, 2020 Jun.
Article en En | MEDLINE | ID: mdl-32338323
ABSTRACT

PURPOSE:

As an adjunct to mammography, ultrasound can improve the detection of breast cancer in women with dense breasts. We aimed to evaluate the diagnostic performance of automated breast ultrasound system (ABUS) and handheld ultrasound (HHUS) in Chinese women with dense breasts, both in combination with mammography and separately.

METHODS:

This is a cross-sectional multicenter clinical research study. Nine hundred and thirty-seven women with dense breasts underwent ABUS, HHUS, and mammography at one of five tertiary-care hospitals. The diagnostic performance of ABUS and HHUS was evaluated in combination with mammography, or separately in women with mammography-negative dense breasts. The agreement between ABUS and HHUS in breast cancer detection was also assessed.

RESULTS:

The sensitivity of the combination of ABUS or HHUS with mammography was 99.1% (219/221), and the specificities were 86.9% (622/716) and 84.9% (608/716), respectively. The area under the curve was 0.93 for ABUS combined with mammography and 0.92 for that of HHUS combined with mammography. Statistically significant agreement between ABUS and HHUS in breast cancer detection was observed (percent agreement = 0.94, κ = 0.85). The incremental cancer detection rate in mammography-negative dense breasts was 42.8 per 1000 ultrasound examinations.

CONCLUSIONS:

Both ABUS and HHUS as adjuncts to mammography can significantly improve the breast cancer detection rate in women with dense breasts, and there is a strong correlation between them. Given the high prevalence of dense breasts and the multiple advantages of ABUS over HHUS, such as less operator dependence and reproducibility, ABUS showed great potential for use in breast cancer early detection, especially in resource-limited areas.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama / Mamografía / Ultrasonografía Mamaria / Detección Precoz del Cáncer / Densidad de la Mama Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama / Mamografía / Ultrasonografía Mamaria / Detección Precoz del Cáncer / Densidad de la Mama Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2020 Tipo del documento: Article País de afiliación: China
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