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author:

Han, Xiahui (Han, Xiahui.) [1] | Liu, Yulan (Liu, Yulan.) [2] | Zhang, Shichao (Zhang, Shichao.) [3] | Li, Lianhuang (Li, Lianhuang.) [4] | Zheng, Liqin (Zheng, Liqin.) [5] | Qiu, Lida (Qiu, Lida.) [6] | Chen, Jianhua (Chen, Jianhua.) [7] | Zhan, Zhenlin (Zhan, Zhenlin.) [8] | Wang, Shu (Wang, Shu.) [9] (Scholars:王舒) | Ma, Jianli (Ma, Jianli.) [10] | Kang, Deyong (Kang, Deyong.) [11] | Chen, Jianxin (Chen, Jianxin.) [12]

Indexed by:

Scopus SCIE

Abstract:

Ductal carcinoma in situ with microinvasion (DCISM) is a challenging subtype of breast cancer with controversial invasiveness and prognosis. Accurate diagnosis of DCISM from ductal carcinoma in situ (DCIS) is crucial for optimal treatment and improved clinical outcomes. However, there are often some suspicious small cancer nests in DCIS, and it is difficult to diagnose the presence of intact myoepithelium by conventional hematoxylin and eosin (H&E) stained images. Although a variety of biomarkers are available for immunohistochemical (IHC) staining of myoepithelial cells, no single biomarker is consistently sensitive to all tumor lesions. Here, we introduced a new diagnostic method that provides rapid and accurate diagnosis of DCISM using multiphoton microscopy (MPM). Suspicious foci in H&E-stained images were labeled as regions of interest (ROIs), and the nuclei within these ROIs were segmented using a deep learning model. MPM was used to capture images of the ROIs in H&E-stained sections. The intensity of two-photon excitation fluorescence (TPEF) in the myoepithelium was significantly different from that in tumor parenchyma and tumor stroma. Through the use of MPM, the myoepithelium and basement membrane can be easily observed via TPEF and second-harmonic generation (SHG), respectively. By fusing the nuclei in H&E-stained images with MPM images, DCISM can be differentiated from suspicious small cancer clusters in DCIS. The proposed method demonstrated good consistency with the cytokeratin 5/6 (CK5/6) myoepithelial staining method (kappa coefficient = 0.818). Accurate distinction between ductal carcinoma in situ with microinvasion (DCISM) and ductal carcinoma in situ (DCIS) is crucial for optimal treatment and improved clinical outcomes. However, current diagnostic methods are often unreliable or time-consuming. Here, the authors present a novel diagnostic method that allows rapid and accurate diagnosis of DCISM by fusing multiphoton microscopy images with H&E-stained nuclear images. Myoepithelium and basement membrane can be visualized directly on H&E-stained sections without the need for immunohistochemical staining. This approach could facilitate the clinical diagnosis of DCISM, and has the potential to optimize risk stratification and improve prognosis in DCIS patients.image

Keyword:

basement membrane breast cancer ductal carcinoma in situ ductal carcinoma in situ with microinvasion image fusion multiphoton microscopy myoepithelium

Community:

  • [ 1 ] [Han, Xiahui]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 2 ] [Liu, Yulan]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 3 ] [Zhang, Shichao]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 4 ] [Li, Lianhuang]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 5 ] [Zheng, Liqin]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 6 ] [Chen, Jianhua]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 7 ] [Zhan, Zhenlin]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 8 ] [Chen, Jianxin]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fujian Prov Key Lab Photon Technol, Fuzhou, Peoples R China
  • [ 9 ] [Qiu, Lida]Minjiang Univ, Coll Phys & Elect Informat Engn, Fuzhou, Peoples R China
  • [ 10 ] [Chen, Jianhua]Fujian Normal Univ, Coll Life Sci, Fuzhou, Peoples R China
  • [ 11 ] [Wang, Shu]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou, Peoples R China
  • [ 12 ] [Ma, Jianli]Harbin Med Univ, Canc Hosp, Dept Radiat Oncol, Harbin, Peoples R China
  • [ 13 ] [Kang, Deyong]Fujian Med Univ, Union Hosp, Dept Pathol, Fuzhou, Peoples R China
  • [ 14 ] [Ma, Jianli]Harbin Med Univ, Dept Radiat Oncol, Canc Hosp, Harbin 150081, Peoples R China
  • [ 15 ] [Kang, Deyong]Fujian Med Univ, Union Hosp, Dept Pathol, Fuzhou 350001, Peoples R China
  • [ 16 ] [Chen, Jianxin]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Fujian Prov Key Lab Photon Technol, Minist Educ, Fuzhou 350117, Peoples R China

Reprint 's Address:

  • [Ma, Jianli]Harbin Med Univ, Dept Radiat Oncol, Canc Hosp, Harbin 150081, Peoples R China;;[Kang, Deyong]Fujian Med Univ, Union Hosp, Dept Pathol, Fuzhou 350001, Peoples R China;;[Chen, Jianxin]Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Fujian Prov Key Lab Photon Technol, Minist Educ, Fuzhou 350117, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF CANCER

ISSN: 0020-7136

Year: 2024

Issue: 10

Volume: 154

Page: 1802-1813

5 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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