| The number of new cases of breast cancer in the world reached 2.26 million in 2020,making it the largest cancer in the world.In recent years,the incidence and mortality rate of breast cancer increases by 3% ～ 4% annually,and the age of onset is gradually younger.Lymph node metastasis is the most common mode of breast tumor metastasis,which is closely related to the prognosis of breast cancer.Early accurate identification of lymph node status can provide guidance for surgical treatment.The purpose of this study was to explore the potential of multiphoton imaging in the prediction of lymph node metastasis of breast cancer.Lymphovascular invasion is one of the high-risk factors for lymph node metastasis.In this paper,multiphoton imaging of lymphovascular invasion in breast tumor microenvironment was studied.The results showed that multiphoton imaging technology can qualitatively identify normal blood vessels and lymphovascular invasion from the changes of tissue morphology.Then,in this paper,multiphoton imaging technology was used to study the feature recognition and extraction of collagen fibers in the breast tumor microenvironment,and tumor-associated collagen signatures(TACS)were obtained.Then,the second harmonic images of small areas were processed,segmented and the feature was extracted by Matlab software to obtain TCMF(TACS corresponding microscopic features).Finally,a prediction model for lymph node metastasis of breast cancer was established based on TACS score,TCMF score and clinical parameters.After internal and external validation of the prediction model,the correlation between collagen characteristics and lymph node metastasis of breast cancer was confirmed.These results indicate the potential of multiphoton microscopy in the prediction of lymph node metastasis of breast cancer.With the development of multiphoton imaging technology,the nondestructive prediction of lymph node metastasis by multiphoton imaging will be realized in clinic. |
PDF Full Text Request