A conditional inference tree model for predicting cancer risk of non-mass lesions detected on breast ultrasound
Author:
Funder
Natural Science Foundation of Shanghai
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10504-7.pdf
Reference33 articles.
1. Ohuchi N, Suzuki A, Sobue T et al (2016) Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial. Lancet 387(10016):341–348
2. Pan H-B (2016) The Role of Breast Ultrasound in Early Cancer Detection. J Med Ultrasound 24(4):138–141
3. Kim SJ, Park YM, Jung HK (2014) Nonmasslike lesions on breast sonography: comparison between benign and malignant lesions. J Ultrasound Med 33(3):421–430
4. Lee J, Lee JH, Baik S et al (2016) Non-mass lesions on screening breast ultrasound. Med Ultrason 18(4):446–451
5. Shin HJ, Kim HH, Kim SM, Kwon GY, Gong G, Cho OK (2008) Screening-detected and symptomatic ductal carcinoma in situ: differences in the sonographic and pathologic features. AJR Am J Roentgenol 190(2):516–525
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