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The Role of Diffusion Weighted Magnetic Resonance Imaging in Assessment of Axillary Lymph Node Metastasis in Patients with Breast Cancer Using Two Cut off Values

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Last updated: 23 Dec 2024

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Abstract

Background: Axillary lymph nodes (ALNs) metastasis is very important for the 
prognosis of breast cancer cases, affecting their survival rate but until now, 
tissue biopsy is the only golden standard for definite diagnosis. The current 
work evaluates the feasibility of Diffusion Weighted Magnetic Resonance 
Imaging (DW-MRI) in prediction of ALN metastasis in breast cancer. 
Methods: A total of 300 ALNs were surgically excised from 30 women with 
confirmed as breast cancer. MRI with diffusion examination was performed and 
comparison between MRI findings with postoperative histopathology was done 
in lymph Nodes (LNs) with short axis diameter > 5 mm. 
Results: By imaging It was found that MRI with diffusion had comparable 
accuracies with LNs > 5 mm in size (accuracy in both conditions was 59%). 
Also, accuracy of adherent diffusion coefficient is better when its cutoff point 
for malignant LNs ≤ 0.90 than ≤ 0.80 (65.3% vs.61.7%; respectively). 
Conclusion: MRI is considering essential maneuver in preoperative LN 
evaluation of BC, MRI with diffusion and ADC values are showing accepted 
specificity and accuracy in LN assessment.

Keywords

breast cancer, Axillary lymph nodes, Diffusion weighted magnetic resonance imaging, Adherent diffusion coefficient

Volume

12

Article Issue

3

Related Issue

47154

Issue Date

2024-07-01

Receive Date

2024-08-12

Publish Date

2024-09-25

Page Start

308

Page End

316

Print ISSN

2537-0995

Online ISSN

2314-8500

Link

https://secioj.journals.ekb.eg/article_382084.html

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https://secioj.journals.ekb.eg/service?article_code=382084

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382,084

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Journal

Publication Title

SECI Oncology Journal

Publication Link

https://secioj.journals.ekb.eg/

MainTitle

The Role of Diffusion Weighted Magnetic Resonance Imaging in Assessment of Axillary Lymph Node Metastasis in Patients with Breast Cancer Using Two Cut off Values

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Article

Created At

23 Dec 2024