1. B-mode ultrasound diagnostic flowchart for solid breast masses: JABTS BC-01 study
- Author
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Kanako Ban, Takuhiro Yamaguchi, Takeshi Umemoto, Eriko Tohno, Hiroko Tsunoda, Setsuko Kaoku, Takanori Watanabe, Toshikazu Ito, Ryoji Watanabe, and Koichi Hirokaga
- Subjects
Adult ,medicine.medical_specialty ,Diagnostic criteria ,Multivariate analysis ,Breast Neoplasms ,Breast ultrasound ,Sensitivity and Specificity ,law.invention ,Breast cancer ,Japan ,law ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Original Article–Breast & Thyroid ,Breast ,Societies, Medical ,Aged ,Aged, 80 and over ,Flowchart ,medicine.diagnostic_test ,business.industry ,B mode ultrasound ,Ultrasound ,General Medicine ,Middle Aged ,medicine.disease ,Multicenter study ,Practice Guidelines as Topic ,Female ,Ultrasonography, Mammary ,Radiology ,Breast disease ,business - Abstract
Purpose Breast ultrasound has been widely used as an essential examination for diagnosing breast cancer. However, standardized diagnostic criteria are as yet lacking. This study aimed to develop a simple diagnostic flowchart for beginners learning breast ultrasonography. The diagnostic flowchart was developed based on the recall criteria widely used in Japan. Methods We conducted a multicenter study to examine recall criteria usefulness in the diagnostic phase of breast disease. Women with ultrasound-visible breast masses who underwent B-mode breast ultrasound examination were recruited from 22 hospitals in Japan between September 2009 and January 2010. B-mode images were evaluated by members of the centralized image interpretation committee. We developed the new diagnostic flowchart based on the results. The usefulness of the diagnostic flowchart was assessed by employing datasets from the current study and another study which we conducted (BC-04 study). Results We evaluated 1045 solid masses (malignant: 495, benign: 550). Multivariate analysis showed that shape, margin, echogenic halo, interruption of the mammary gland interface, and depth width ratio were significant findings for distinguishing between benign and malignant masses. We modified the recall criteria and developed our novel diagnostic flowchart using these findings. The sensitivity and specificity of the new flowchart (current study: 0.97, 0.45; BC-04 study dataset: 0.95, 0.45) were similar to those of experts (current study: 0.96, 0.54; BC-04 study dataset: 0.98, 0.38). Conclusion We developed a simple diagnostic flowchart for breast ultrasound. This flowchart is anticipated to be applicable to educating beginners learning breast ultrasound.
- Published
- 2021