[1] [1] SUNG H, FERLAY J, SIEGEL R L, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249.

[2] [2] LI J, MA W M, JIANG X H, et al. Development and validation of nomograms predictive of axillary nodal status to guide surgical decision-making in early-stage breast cancer[J]. J Cancer, 2019, 10(5): 1263-1274.

[3] [3] GAO Y J, LUO Y W, ZHAO C Y, et al. Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients[J]. Eur Radiol, 2021, 31(2): 928-937.

[4] [4] BEAKA R, SZABOV D, GUAOV Z, et al. Classic and new markers in diagnostics and classification of breast cancer[J]. Cancers (Basel), 2022, 14(21): 5444.

[5] [5] ADLER D D, CARSON P L, RUBIN J M, et al. Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings[J]. Ultrasound Med Biol, 1990, 16(6): 553-559.

[6] [6] SUN C, GONG X T, HOU L, et al. A nomogram based on conventional and contrast-enhanced ultrasound radiomics for the noninvasively prediction of axillary lymph node metastasis in breast cancer patients[J]. Front Oncol, 2024, 14: 1400872.

[7] [7] KHAN A, MASROOR I, KHANDWALA K, et al. Utility of ultrasound and mammography in detection of negative axillary nodal metastasis in breast cancer[J]. Cureus, 2020, 12(1): e6691.

[8] [8] JI H R, HU C, YANG X H, et al. Lymph node metastasis in cancer progression: molecular mechanisms, clinical significance and therapeutic interventions[J]. Signal Transduct Target Ther, 2023, 8(1): 367.

[9] [9] PIDDUBNYI A, KOLOMⅡETS O, DANILCHENKO S, et al. The prospects of using structural phase analysis of microcalcifications in breast cancer diagnostics[J]. Diagnostics (Basel), 2023, 13(4): 737.

[10] [10] WANG K J, ZOU Z K, SHEN H L, et al. Calcification, posterior acoustic, and blood flow: ultrasonic characteristics of triplenegative breast cancer[J]. J Healthc Eng, 2022, 2022: 9336185.

[11] [11] AVDAN ASLAN A, GLTEKIN S, ESENDALI YILMAZ G, et al. Is there any association between mammographic features of microcalcifications and breast cancer subtypes in ductal carcinomain situ?[J]. Acad Radiol, 2021, 28(7): 963-968.

[12] [12] LI X, XU S, HAO L W, et al. Value of molybdenum target X-ray and high-frequency color Doppler flow imaging in early diagnosis of breast carcinoma: a comparative analysis[J]. Cancer Manag Res, 2023, 15: 1155-1163.

[13] [13] LI J M, SHAO Y H, SUN X M, et al. Ultrasonic features of automated breast volume scanner (ABVS) and handheld ultrasound (HHUS) combined with molecular biomarkers in predicting axillary lymph node metastasis of clinical T1-T2 breast cancer[J]. Quant Imaging Med Surg, 2024, 14(2): 1359-1368.

[16] [16] JIANG Y, WANG B, LI J K, et al. Collagen fiber features and COL1A1: are they associated with elastic parameters in breast lesions, and can COL1A1 predict axillary lymph node metastasis?[J]. BMC Cancer, 2022, 22(1): 1004.

[17] [17] XU S J, WANG Q, HONG Z. The correlation between multimode ultrasonographic features of breast cancer and axillary lymph node metastasis[J]. Front Oncol, 2024, 14: 1433872.

[18] [18] ZHANG J Y, WEI Q, DONG D, et al. The role of TPS, CA125, CA15-3 and CEA in prediction of distant metastasis of breast cancer[J]. Clin Chim Acta, 2021, 523: 19-25.

[19] [19] GENG S K, FU S M, ZHANG H W, et al. Predictive nomogram based on serum tumor markers and clinicopathological features for stratifying lymph node metastasis in breast cancer[J]. BMC Cancer, 2022, 22(1): 1328.

[20] [20] LUO C Y, LU L, ZHANG W F, et al. The value of shear wave elastography in the diagnosis of breast cancer axillary lymph node metastasis and its correlation with molecular classification of breast masses[J]. Front Oncol, 2022, 12: 846568.

[21] [21] BIAN J Y, ZHANG J L, HOU X K. Diagnostic accuracy of ultrasound shear wave elastography combined with superb microvascular imaging for breast tumors: a protocol for systematic review and meta-analysis[J]. Medicine (Baltimore), 2021, 100(25): e26262.

[22] [22] ORAFA Z, KARIMI N, KEYVANI S, et al. Quantitative CK19 biomarker detection in breast cancer cell lines[J]. J Med Life, 2022, 15(2): 188-195.

[23] [23] MENZ A, BAUER R, KLUTH M, et al. Diagnostic and prognostic impact of cytokeratin 19 expression analysis in human tumors: a tissue microarray study of 13, 172 tumors[J]. Hum Pathol, 2021, 115: 19-36.