364926

Detection of sentinel lymph node using carbon nano-particles in patients with early breast cancer

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Last updated: 05 Jan 2025

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Abstract

Introduction
Management in breast cancer is heading toward less invasive approaches with high survival and low recurrence rates. Axillary lymph node dissection (ALND) has a high morbidity on breast cancer patients; on the other hand, sentinel lymph node biopsy (SLNB) overcomes such morbidity with comparable survival and recurrence rates. In this study, the authors aim to assess diagnostic accuracy of carbon nanoparticles (CN) in SLNB in patients with early breast cancer.
Patients and methods
From November 2020 to March 2022, patients with early breast cancer and clinically and radiologically free axillary lymph nodes who had SLN detection using CNs followed by ALND were included. Patients who received neoadjuvant chemotherapy, are pregnant, or refused consent were excluded.
Results
In this study, 30 patients with clinically node-negative early breast cancer patients were investigated using CN for SLN mapping. Mean age of our participants was 49.2±5.8. CN technique had a sensitivity of 100% (95% confidence interval: 80.49–100), specificity of 92.3% (95% confidence interval: 63.9–99.8), positive predictive value of 94.4%, negative predictive value of 100%, and false-negative rate=0%. The summary receiver-operating characteristics of CN showed excellent diagnostic performance with area under the curve of 0.962 (=0.0001).
Conclusion
SLN mapping using proper technique is vital to avoid recurrence and promote survival and decrease morbidity without need for ALND. CN had excellent sensitivity and specificity with low false-negative rate.

DOI

10.4103/ejs.ejs_320_22

Keywords

Cancer breast, carbon nanoparticles, sentinel lymph node

Authors

First Name

Mostafa

Last Name

Nagy

MiddleName

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Affiliation

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Email

mostafa_nagy218@hotmail.com

City

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Orcid

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First Name

Ahmed G.

Last Name

Eldin

MiddleName

-

Affiliation

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Email

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City

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Orcid

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First Name

Karim

Last Name

Fahmy

MiddleName

-

Affiliation

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Email

karimfahmy84@gmail.com

City

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Orcid

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First Name

Mohamed

Last Name

Elshinawi

MiddleName

-

Affiliation

-

Email

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Orcid

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Volume

41

Article Issue

4

Related Issue

48969

Issue Date

2023-04-01

Receive Date

2022-12-27

Publish Date

2023-04-28

Print ISSN

1110-1121

Online ISSN

1687-7624

Link

https://ejsur.journals.ekb.eg/article_364926.html

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https://ejsur.journals.ekb.eg/service?article_code=364926

Order

364,926

Publication Type

Journal

Publication Title

The Egyptian Journal of Surgery

Publication Link

https://ejsur.journals.ekb.eg/

MainTitle

Detection of sentinel lymph node using carbon nano-particles in patients with early breast cancer

Details

Type

Article

Created At

21 Dec 2024