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Magnetic Resonance Imaging Texture Analysis in the Detection of Metastatic Lymph Nodes in Patients with Nasopharyngeal Carcinoma

Genel Tip Dergisi · Ağustos 2023

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YÖKSİS Kayıtları
Magnetic Resonance Imaging Texture Analysis in the Detection of Metastatic Lymph Nodes in Patients with Nasopharyngeal Carcinoma
Genel Tıp Dergisi · 2023 TR DİZİN
DOÇENT HALİL ÖZER →
Magnetic Resonance Imaging Texture Analysis in the Detection of Metastatic Lymph Nodes in Patients with Nasopharyngeal Carcinoma
Genel Tıp Dergisi · 2023 Directory of Open Access Journals
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Makale Bilgileri

DergiGenel Tip Dergisi
Yayın TarihiAğustos 2023
Cilt / Sayfa33 · 461-465
Özet Aims: To investigate the role of magnetic resonance imaging (MRI) texture analysis (TA) in the detection of metastatic lymph nodes in patients with nasopharyngeal carcinoma (NPC). Material and methods: Between January 2020 and October 2021, 15 NPC patients with 32 metastatic lymph nodes and 30 healthy subjects with benign lymph nodes were included in the study. The texture features compared between metastatic and benign lymph nodes. The independent predictor parameters of metastatic lymph nodes were determined using multivariate regression analysis. Receiver operator characteristics (ROC) analysis was used to evaluate the diagnostic performance of the regression models. Results: The first order texture features did not differ significantly between groups (p>0.05). Except for correlation in metastatic lymph nodes, all gray-level co-occurrence matrix (GLCM) and gray-level run length matrix (GLRLM) features were significantly different (p<0.05). The GLCM features of joint entropy, joint energy, and maximum probability; and the GLRLM features of gray level non uniformity and low gray level run emphasis were independent predictors of metastatic lymph nodes. The area under the curve (AUC) values for the GLCM regression model and GLRLM regression model were 0.975 and 0.928, respectively. Conclusion: MRI texture analysis may be useful to detect metastatic lymph nodes in patients with NPC by providing quantitative information on tissue heterogeneity and cellular composition.

Yazarlar (5)

1
Halil Özer
ORCID: 0000-0003-1141-1094
2
Abdussamed Batur
3
Nurullah Özdemir
ORCID: 0000-0002-9843-6456
4
Mehmet Sedat Durmaz
ORCID: 0000-0002-1340-2477
5
Abidin Kılınçer

Anahtar Kelimeler

Magnetic resonance imaging metastatic lymph nodes nasopharyngeal carcinoma texture analysis

Kurumlar

Mardin Artuklu University
Mardin Turkey
Selçuk Üniversitesi
Selçuklu Turkey

Metrikler

1
Atıf
5
Yazar
4
Anahtar Kelime

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