Siegel RL, et al. Cancer statistics, 2024. CA Cancer J Clin. 2023;73(1):17–48.

Article  PubMed  Google Scholar 

Society AC. Breast cancer facts & figures 2022–2024. Atlanta: American Cancer Society; 2022.

Google Scholar 

O’Connell A, et al. Cone-beam CT for breast imaging: radiation dose, breast coverage, and image quality. AJR Am J Roentgenol. 2010;195(2):496–509.

Article  PubMed  Google Scholar 

Boyd NF, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 2007;356(3):227–36.

Article  CAS  PubMed  Google Scholar 

Huda W, Abrahams RB. X-ray-based medical imaging and resolution. AJR Am J Roentgenol. 2015;204(4):W393–7.

Article  PubMed  Google Scholar 

Rangarajan K, et al. Ultra-high resolution, multi-scale, context-aware approach for detection of small cancers on mammography. Sci Rep. 2022;12(1):11622.

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Rahbar H, et al. Clinical and technical considerations for high quality breast MRI at 3 Tesla. J Magn Reson Imaging. 2013;37(4):778–90.

Article  PubMed  PubMed Central  Google Scholar 

Koning Corporation, The Koning Differences. https://www.koninghealth.com/product-solutions/koning-vera-breast-ct. Accessed 27 Jan 2024

Li H, et al. Comparison of comfort between cone beam breast computed tomography and digital mammography. Eur J Radiol. 2019;120: 108674.

Article  PubMed  Google Scholar 

Houser M, Barreto D, Mehta A, et al. Current and future directions of breast MRI. J Clin Med. 2021;10(23):5668.

Article  PubMed  PubMed Central  Google Scholar 

Kwon MR, et al. Breast cancer screening with abbreviated breast MRI: 3-year outcome analysis. Radiology. 2021;299(1):73–83.

Article  PubMed  Google Scholar 

Uhlig J, et al. Contrast enhancement on cone-beam breast-CT for discrimination of breast cancer immunohistochemical subtypes. Transl Oncol. 2017;10(6):904–10.

Article  MathSciNet  PubMed  PubMed Central  Google Scholar 

Wienbeck S, et al. Contrast-enhanced cone-beam breast-CT (CBBCT): clinical performance compared to mammography and MRI. Eur Radiol. 2018;28(9):3731–41.

Article  PubMed  Google Scholar 

Ma J, et al. Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search. Eur J Radiol. 2021;142:109878.

Article  PubMed  Google Scholar 

Ma Y, Liu A, O'Connell AM, et al. Contrast-enhanced cone beam breast CT features of breast cancers: Correlation with immunohistochemical receptors and molecular subtypes. Eur Radiol. 2021;31(4):2580–9.

Article  PubMed  Google Scholar 

Wang Y, Zhao M, Ma Y, et al. Accuracy of preoperative contrast-enhanced cone beam breast CT in assessment of residual tumor after neoadjuvant chemotherapy: A comparative study with breast MRI. Acad Radiol. 2023;30(9):1805–15. This article describes CBBCT’s superior performance to breast MRI when evaluating tumor size and response to chemotherapy.

Uhlig J, et al. Contrast-enhanced cone-beam breast-CT: analysis of optimal acquisition time for discrimination of breast lesion malignancy. Eur J Radiol. 2018;99:9–16.

Article  PubMed  Google Scholar 

Chen JT, Zhou CY, He N, et al. Optimal acquisition time to discriminate between breast cancer subtypes with contrast-enhanced cone-beam CT. Diagn Interv Imaging. 2020;101(6):391–9.

Article  CAS  PubMed  Google Scholar 

Zhao X, Yang J, Zuo Y, et al. Contrast-enhanced cone-beam breast CT: An analysis of diagnostic value in predicting breast lesion with rim enhancement malignancy. Front Oncol. 2022;12:868975.

Article  PubMed  PubMed Central  Google Scholar 

Ma Y, et al. Comparison of background parenchymal enhancement (BPE) on contrast-enhanced cone-beam breast CT (CE-CBBCT) and breast MRI. Eur Radiol. 2022;32(8):5773–82.

Article  CAS  PubMed  Google Scholar 

Miglioretti DL, et al. Radiation-induced breast cancer incidence and mortality from digital mammography screening: a modeling study. Ann Intern Med. 2016;164(4):205–14.

Article  PubMed  PubMed Central  Google Scholar 

Uhlig J, et al. Pre- and post-contrast versus post-contrast cone-beam breast CT: can we reduce radiation exposure while maintaining diagnostic accuracy? Eur Radiol. 2019;29(6):3141–8.

Article  PubMed  Google Scholar 

Xie H, Shan H, Cong W, et al. Deep efficient end-to-end reconstruction (deer) network for few-view breast CT image reconstruction. IEEE Access. 2020;8:196633–46.

Article  PubMed  PubMed Central  Google Scholar 

Tseng HW, Karellas A, Vedantham S. Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients. Med Phys. 2023;50(3):1406–17.

Article  CAS  PubMed  Google Scholar 

He N, et al. The utility of breast cone-beam computed tomography, ultrasound, and digital mammography for detecting malignant breast tumors: a prospective study with 212 patients. Eur J Radiol. 2016;85(2):392–403.

Article  PubMed  Google Scholar 

Uhlig J, et al. Diagnostic accuracy of cone-beam breast computed tomography: a systematic review and diagnostic meta-analysis. Eur Radiol. 2019;29(3):1194–202.

Article  PubMed  Google Scholar 

D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA, et al. ACR BI-RADS® Atlas, breast imaging reporting and data system. Reston, VA: American College of Radiology; 2013.

Google Scholar 

Kang W, Zhong W, Su D. The cone-beam breast computed tomography characteristics of breast non-mass enhancement lesions. Acta Radiol. 2021;62(10):1298–308.

Article  PubMed  Google Scholar 

Liu A, Ma Y, Yin L, et al. Comparison of malignant calcification identification between breast cone-beam computed tomography and digital mammography. Acta Radiol. 2023;64(3):962–70.

Article  PubMed  Google Scholar 

Neubauer C, et al. Accuracy of cone-beam computed tomography, digital mammography and digital breast tomosynthesis for microcalcifications and margins to microcalcifications in breast specimens. Sci Rep. 2022;12(1):17639.

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Bodewes FTH, et al. Mammographic breast density and the risk of breast cancer: a systematic review and meta-analysis. Breast. 2022;66:62–8.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Advani SM, et al. Association of breast density with breast cancer risk among women aged 65 years or older by age group and body mass index. JAMA Netw Open. 2021;4(8): e2122810.

Article  PubMed  PubMed Central  Google Scholar 

Ma Y, et al. A reliability comparison of cone-beam breast computed tomography and mammography: breast density assessment referring to the fifth edition of the BI-RADS atlas. Acad Radiol. 2019;26(6):752–9.

Article  PubMed  Google Scholar 

Liu A, et al. Quantitative breast density measurement based on three-dimensional images: a study on cone-beam breast computed tomography. Acta Radiol. 2022;63(8):1023–31.

Article  PubMed  Google Scholar 

Siddall, K. Exploring the diagnostic performance of dedicated cone-beam breast CT: Can it be utilized as a substitute for breast MRI? In: SBI ACR breast imaging symposium; 2022. https://www.eventscribe.net/2022/SBIACR2022/fsPopup.asp?efp=VlVWTERNS1kxNTM5OQ&PresentationID=1070475&rnd=0.5330223&mode=presinfo. Accessed 27 Jan 2024.

Wienbeck S, et al. Breast lesion size assessment in mastectomy specimens: correlation of cone-beam breast-CT, digital breast tomosynthesis and full-field digital mammography with histopathology. Medicine. 2019;98(37):e17082.

Article  PubMed  PubMed Central  Google Scholar 

Seifert PJ. Initial experience with a breast computed tomography guided biopsy system (BCT-GBx) for cone beam breast CT (CBBCT). RSNA; 2013. https://archive.rsna.org/2013/13044191.html. Accessed 27 Jan 2024.

Google Scholar 

Wienbeck S, Lotz J, Fischer U. Feasibility of vacuum-assisted breast cone-beam CT-guided biopsy and comparison with prone stereotactic biopsy. AJR Am J Roentgenol. 2017;208(5):1154–62.

Article  PubMed  Google Scholar 

Hoxhaj A, Sechopoulos I, Mann RM. Contrast-enhanced cone-beam breast CT-guided biopsies in breast phantoms: accuracy, rate of diagnostic success, and total intervention time. EMJ Radiol. 2023;4:38–40.

Article  Google Scholar 

Li J, Zhong G, Wang K, et al. Tumor-to-gland volume ratio versus tumor-to-breast ratio as measured on CBBCT: Possible predictors of breast-conserving surgery. Cancer Manag Res. 2021;13:4463–71.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun Y, He N, Ye F, et al. Cone-beam breast CT-guided surface location facilitates breast-conserving surgery in breast cancer patients with extensive calcifications: A pilot study. Front Surg. 2023;10:1070868. This article describes an exciting potential future application of CBBCT.

Zhu Y, et al. Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer. Eur Radiol. 2020;30(5):2731–9.

Article  PubMed  Google Scholar 

Zhu, Y., et al., Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study. Eur Radiol. 2023.

Zhu Y, Ma Y, Zhang Y, et al. Radiomics nomogram for predicting axillary lymph node metastasis-a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study. Radiol Med. 2023;128(12):1472–82.

Article  PubMed