Study on female breast cancer imaging screening consultation network in Guangdong Province, China

Objective: This study aimed to construct breast cancer image screening consultation network (BISCN) that connects all levels of medical institutions in Guangdong Province. Materials and Methods: Fourteen hospitals in different cities and counties (districts) of Guangdong were selected for breast cancer screening with imaging (breast X-ray, ultrasound, and MRI). "Breast Imaging Reporting and Data System (BI-RADS)" was taken as reference to build up image data base of breast cancer screening and BISCN that is an internet-based network platform. BISCN quality control was performed to improve the diagnostic accuracy and collaboration of members. In 2011, the BISCN members underwent breast imaging diagnosis training and conducted a questionnaire survey. Results: BISCN allowed quick, synchronous, and accurate communication and feedback of diagnostic imaging in breast cancer among all levels of medical institutions and improved the ability of breast cancer screening in the province, as well as the detection rate of early breast cancer throughout the province, especially in the grassroot units. The survey results showed that the trainees' understanding situation of the training contents before training was 2.02 ± 1.75 points. Through the study, the participants considered that the teaching contents could solve the daily diagnose problems (2.91 ± 0.70 points), the post-training scores were improved (2.88 ± 1.23 points), and highly satisfactory with the teaching contents (2.81 ± 0.53 points). All students passed the examination and were qualified for the future. Conclusions: BISCN is of good feasibility in construction and applicability in management by raising diagnosis level of breast cancer in Guangdong Province.

Breast cancer; Imaging; Screening; Consultation; Network.

[1] Li L., Yang W.P., Chen L.: “Analysis on 4710 poor woman cervical and breast cancer screening”. China Women and Children Health Care, 2013, 28, 223.

[2] Xu J.L.: “Analysis on screening results of cervical cancer and breast cancer among 24099 rural women”. China Maternal and Child Health Care, 2012, 16, 2427.

[3] Yang R., Fu Z.H., Zhang B., Yang S.P., Zhang D., Li Y.X.: “Estab-lishment of breast cancer screening mechanism relied on service System for women and children health care”. Cancer Research on Prevention and Treatment, 2012, 39, 582.

[4] Wang H.M.: “Exploration of rural woman breast cancer screening mode”. China Med. Innov., 2012, 9, 151.

[5] Kong L.H.: “Analysis on 85710 rural woman cervical and breast cancer screening data”. Med. Innovat. China, 2011, 20, 119.

[6] Zhao F.H.: “Analysis on Yunnan Province rural woman cervical cancer screening data”. China Women and Children Health Care, 2012, 27, 34.

[7] Guo Q.L., Ye Z.Q., Liu Q.Y.: “Diagnosis evaluation of mammography, Doppler ultrasonic and 3D oriented puncture for breast cancer”. J. China Radiology, 2001, 35, 782.

[8] Hong Q.S., Shen J., Xue Y.M.: “MRI application on thyroid associated ophthalmopathy grading and staging”. J. Chinese Endocrinology and Metabolism, 2010, 26, 35.

[9] Hong Q.S., Li Z.P., Liu S.B.: “Establishment of medical imaging databases basing on web storage”. J. Diagnostic Imaging and Interventional Radiology, 2002, 11, 186.

[10] Timmers J.M., van Doorne-Nagtegaal H.J., Zonderland H.M., van Tinteren H., Visser O., Verbeek A.L. et al.: “The breast imaging reporting and data system (BI-RADS) in the Dutch breast cancer screening programe: its role as an assessment and stratification tool”. Eur. Radiol., 2012, 22, 1717.

[11] Qiu J.M., Hu J.Z., Zhu B., Li Y.Y., Ouyang Y.Y.: “The Role of Ultrasonic BI-RADS Classification in breast cancer screening”. J. China Medicine Guideline, 2012, 10, 1.

[12] Smith-Bindman R., Chu P., Miglioretti D.L., Quale C., Rosenberg

R. D., Cutter G. et al.: “Physician predictors of mammographic accuracy”. J. Natl. Cancer Inst., 2005, 97, 358.

[13] Skaane P.: “Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: updated”. Acta Radiol., 2009, 50, 3.

[14] Kallenberg M., Karssemeijer N.: “Computer-aided detection of lumpes in full-field digital mammography using screen-film mammograms for training”. Phys. Med. Biol., 2008, 53, 6879.

[15] Qian J.L.: “Application of doppler ultrasonic on breast disease screening”. China Medicine Guideline, 2012, 10, 213.

[16] Sehgal C.M., Arger P.H., Rowling S.E., Conant E.F., Reynolds C., Patton J.A.: “Quantitative vascularity of breast lumpes by Doppler imaging: regional variations and diagnostic implications”. J. Ultrasound Med., 2000, 19, 427.

[17] Kvistad K.A., Rydland J., Vainio J., Smethurst H.B., Lundgren S., Fjøsne H.E. et al.: “Breast lesions: evaluation with dynamic contrast- enhanced T1-weighted MR imaging and with T2*-weighted first-pass perfusion MR imaging”. Radiology, 2000, 216, 545.

[18] Partridge S.C., DeMartini W.B., Kurland B.F., Eby P.R., White S.W., Lehman C.D.: “Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value”. AJR Am. J. Roentgenol., 2009, 193, 1716.

[19] Pereira F.P., Martins G., Figueiredo E., Domingues M.N., Domingues R.C., da Fonseca L.M. et al.: “Assessment of breast lesions with diffusion- weighted MRI: comparing the use of different b values”. AJR Am. J. Roentgenol., 2009, 193, 1030.

[20] American College of Radiology.: “Breast imaging reporting and data system (BI-RADS). 4th ed. Reston (VA): American College of Radiology, 2003.

[21] Burnside E.S., Ochsner J.E., Fowler K.J., Fine J.P., Salkowski L.R., Rubin D.L. et al.: “Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy”. Radiology, 2007, 242, 388.

[22] Kong A.P., Zhou M.T., Liu J., Shi B.B.: “Diagnosis value of digital mammography combined with MRI on breast cancer”. Baotou Medicine, 2012, 36, 203.