Comparison of Magnetic Resonance Imaging (MRI) Texture Analysis Results with Pathology Results of Axillary Lymph Nodes

İsmail Dilek; Zehra Hilal Adıbelli; Ali Murat Koc; Gamze Dal; Esra Koç; Asuman Argon Argon

Makale detayları

Comparison of Magnetic Resonance Imaging (MRI) Texture Analysis Results with Pathology Results of Axillary Lymph Nodes

Yazarlar:

İsmail Dilek | Zehra Hilal Adıbelli | Ali Murat Koc | Gamze Dal | Esra Koç | Asuman Argon Argon

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 3, pp.348-360

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298972

pISSN:

2146-409X

Anahtar kelimeler:

Özet:

 ABSTRACT Introduction: In this study, the effectiveness of noninvasive and reproducible quantitative methods previously applied in breast lesions in differentiating malignant axillary lymph nodes ALN by using the MRI and texture analysis TA features of pathologically appearing ALNs in breast magnetic resonance imaging was investigated. Materials and methods: The study included female patients over the age of 18 who underwent fine needle aspiration biopsy andor cutting needle biopsy for ALNs in the Interventional Radiology department of our hospital between 2018 and 2020, and who had pathological ALN with dynamic contrast and diffusion breast MRI. Results There was a statistically significant difference between benign and malignant lymph nodes in terms of the presence of T2A fatty hilum p0.008. In the evaluation of MR texture analysis results; A significant difference was found between the T2 area and T2 skewness values respectively p0.006; 0.029, between ADC area and ADC kurtosis values p0.027;0.005, respectively, between postcontrast T1 area, postcontrast T1 variance and postcontrast T1 kurtosis values respectively, p0.036; 0.010; 0.001 in benign and malignant groups. MR features, which are significant in distinguishing between micrometastasis and macrometastasis in cases of the malignant group, mean signal intensity on precontrast T1-weighted images p0.048; Area, Skewness, Kurtosis in T2-weighted images of MR texture parameters; Area, Mean, Kurtosis, Sumentropy, Entropy in ADC sequences in diffusion-weighted images; Area and Kurtosis values were observed on postcontrast T1-weighted images p:0.001-0.015. Conclusion Although magnetic resonance imaging-based texture analysis is an increasingly common application, there are not enough studies in the literature investigating MRI texture analysis for axillary lymph nodes. MRI TA, which is a noninvasive and reproducible method, contributes to other MRI methods in characterizing metastatic ALNs in the preoperative period.

 ABSTRACT Introduction: In this study, the effectiveness of noninvasive and reproducible quantitative methods previously applied in breast lesions in differentiating malignant axillary lymph nodes ALN by using the MRI and texture analysis TA features of pathologically appearing ALNs in breast magnetic resonance imaging was investigated. Materials and methods: The study included female patients over the age of 18 who underwent fine needle aspiration biopsy andor cutting needle biopsy for ALNs in the Interventional Radiology department of our hospital between 2018 and 2020, and who had pathological ALN with dynamic contrast and diffusion breast MRI. Results There was a statistically significant difference between benign and malignant lymph nodes in terms of the presence of T2A fatty hilum p0.008. In the evaluation of MR texture analysis results; A significant difference was found between the T2 area and T2 skewness values respectively p0.006; 0.029, between ADC area and ADC kurtosis values p0.027;0.005, respectively, between postcontrast T1 area, postcontrast T1 variance and postcontrast T1 kurtosis values respectively, p0.036; 0.010; 0.001 in benign and malignant groups. MR features, which are significant in distinguishing between micrometastasis and macrometastasis in cases of the malignant group, mean signal intensity on precontrast T1-weighted images p0.048; Area, Skewness, Kurtosis in T2-weighted images of MR texture parameters; Area, Mean, Kurtosis, Sumentropy, Entropy in ADC sequences in diffusion-weighted images; Area and Kurtosis values were observed on postcontrast T1-weighted images p:0.001-0.015. Conclusion Although magnetic resonance imaging-based texture analysis is an increasingly common application, there are not enough studies in the literature investigating MRI texture analysis for axillary lymph nodes. MRI TA, which is a noninvasive and reproducible method, contributes to other MRI methods in characterizing metastatic ALNs in the preoperative period.

 ABSTRACT Introduction: In this study, the effectiveness of noninvasive and reproducible quantitative methods previously applied in breast lesions in differentiating malignant axillary lymph nodes ALN by using the MRI and texture analysis TA features of pathologically appearing ALNs in breast magnetic resonance imaging was investigated. Materials and methods: The study included female patients over the age of 18 who underwent fine needle aspiration biopsy andor cutting needle biopsy for ALNs in the Interventional Radiology department of our hospital between 2018 and 2020, and who had pathological ALN with dynamic contrast and diffusion breast MRI. Results There was a statistically significant difference between benign and malignant lymph nodes in terms of the presence of T2A fatty hilum p0.008. In the evaluation of MR texture analysis results; A significant difference was found between the T2 area and T2 skewness values respectively p0.006; 0.029, between ADC area and ADC kurtosis values p0.027;0.005, respectively, between postcontrast T1 area, postcontrast T1 variance and postcontrast T1 kurtosis values respectively, p0.036; 0.010; 0.001 in benign and malignant groups. MR features, which are significant in distinguishing between micrometastasis and macrometastasis in cases of the malignant group, mean signal intensity on precontrast T1-weighted images p0.048; Area, Skewness, Kurtosis in T2-weighted images of MR texture parameters; Area, Mean, Kurtosis, Sumentropy, Entropy in ADC sequences in diffusion-weighted images; Area and Kurtosis values were observed on postcontrast T1-weighted images p:0.001-0.015. Conclusion Although magnetic resonance imaging-based texture analysis is an increasingly common application, there are not enough studies in the literature investigating MRI texture analysis for axillary lymph nodes. MRI TA, which is a noninvasive and reproducible method, contributes to other MRI methods in characterizing metastatic ALNs in the preoperative period.

 ÖZET Amaç: Bu çalışmada, meme manyetik rezonans görüntülemede MRG patolojik görünümlü aksiller lenf nodlarının ALN MRG ve tekstür analizi TA özellikleri kullanılarak, daha önce meme lezyonlarında uygulanan noninvaziv, tekrarlanabilir kantitatif yöntemlerin malign ALNleri ayırt etmedeki etkinliği araştırılmıştır. Gereç ve yöntemler: Çalışmaya 2018-2020 tarihleri arasında hastanemiz Girişimsel Radyoloji bölümünde ALNlere yönelik ince iğne aspirasyon biyopsisi veveya kesici iğne biyopsisi işlemi yapılan, dinamik kontrastlı ve diffüzyon meme MRGde patolojik görünümlü ALNsi olan 18 yaş üzeri kadın hastalar dahil edilmiştir. Bulgular: Benign ve malign lenf nodları arasında T2A yağlı hilus varlığı açısından istatistiksel olarak anlamlı farklılık vardı p0,008. MR tekstür analizi sonuçlarının değerlendirilmesinde; benign ve malign grupta T2 area ve T2 skewness değerleri arasında sırasıyla p0,006; 0,029, ADC area ve ADC kurtosis değerleri arasında sırasıyla p0,027;0,005, postkontrast T1 area, postkontrast T1 variance ve postkontrast T1 kurtosis değerleri arasında  sırasıyla p0,036;0,010; 0,001 anlamlı farklılık saptandı. Malign grupta yer alan olguların mikrometastaz ve makrometastaz durumunu ayırt etmede anlamlı olan MR özellikleri prekontrast T1 ağırlıklı görüntülerde ortalama sinyal intensitesi p0,048, MR tekstür parametrelerinden T2 ağırlıklı görüntülerde Area, Skewness, Kurtosis; difüzyon ağırlıklı görüntülerde ADC sekanslarda Area, Mean, Kurtosis, Sumentropi, Entropi; postkontrast T1 ağırlıklı görüntülerde Area ve Kurtosis değerleri olduğu görüldü p:0,001-0,015. Sonuç: Manyetik Rezonans görüntüleme bazlı tekstür analizi giderek artan sıklıkta kullanılan bir uygulama olmasına rağmen literatürde aksiller lenf bezine yönelik MRG tekstür analizini araştıran yeterli çalışma yoktur. Noninvaziv ve tekrarlanabilir bir yöntem olan MRG TA, metastatik ALNleri preoperatif dönemde karakterize etmede diğer MRG yöntemlerine katkı sağlamaktadır.

Makale detayları

Comparison of Magnetic Resonance Imaging (MRI) Texture Analysis Results with Pathology Results of Axillary Lymph Nodes

Yazarlar:

İsmail Dilek | Zehra Hilal Adıbelli | Ali Murat Koc | Gamze Dal | Esra Koç | Asuman Argon Argon

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 3, pp.348-360

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298972

pISSN:

2146-409X

lymph node

metastasis

magnetic resonance imaging (MRI)

texture analysislenf nodu

metastaz

manyetik rezonans görüntüleme (MRG)

tekstür analizi

Sayı

Makale detayları

Yazarlar: İsmail Dilek | Zehra Hilal Adıbelli | Ali Murat Koc | Gamze Dal | Esra Koç | Asuman Argon Argon

Yayıncı: Sakarya University

Ana Başlıklar: Sağlık Kurumları Yönetimi

Dergi: Sakarya Tıp Dergisi Vol.13 Issue 3, pp.348-360

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001298972

pISSN: 2146-409X

Sayı

Yazarlar:

İsmail Dilek | Zehra Hilal Adıbelli | Ali Murat Koc | Gamze Dal | Esra Koç | Asuman Argon Argon

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 3, pp.348-360

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298972

pISSN:

2146-409X