Benign ve Malign Sinonazal Tümörlerin Ayırımında Manyetik Rezonans Görüntüleme Tabanlı Doku Analizi Özelliklerinin Kullanımı

Abstract

Amaç: Bu çalışmanın amacı, manyetik rezonans görüntüleme (MRG) tabanlı doku analizi özelliklerini kullanarak benign ve malign sinonazal tümörleri ayırt etmektir. Gereç ve Yöntemler: Ocak 2013 ile Aralık 2020 tarihleri arasında çekilmiş MRG incelemelerinden histopatolojik olarak kanıtlanmış benign ya da malign sinonazal tümor hastaları çalışmaya dahil edildi. Dahil edilme kriterleri 1 cm’den büyük tumor boyutu ve MR görüntülerinde T1 aksiyal, T2 aksiyal ve kontrastlı T1 aksiyal sekansların bulunmasıdır. Görüntüler iş istasyonuna aktarıldıktan sonra doku analizi hesaplamaları yapıldı. Benign ve malign gruplar arasındaki farklılıklar karşılaştırıldı. Bulgular: Çalışmaya dahil edilen 37 hastanın ortalama yaşı 50,8±21,9 (8 kadın, 29 erkek). Çalışmamızda MRI ile elde edilen dokuz doku analiz parametresi malign ve benign sinonazal tümörler arasında istatistiksel olarak farklılık bulmadık. Sonuç: MRG tabanlı doku analizi ile tümörlerin değerlendirilmesinde çekim protokollerinin aynı olması gerekmektedir. Spesifik patolojik tipler seçilmediğinde ve çekim protokolleri aynı olmadığında sinonazal tümörlerde benign ve malign ayrımında MRG tabanlı doku analizi yararlı değildir.

Keywords

• Manyetik rezonans görüntüleme
• sinonazal
• tümör
• doku analizi

Usage of Magnetic Resonance Imaging-Based Texture Analysis Features in Discrimination of Benign and Malignant Sinonasal Tumors

Abstract

Aim: The objective of this study was to differentiate between benign and malignant sinonasal tumors using magnetic resonance imaging (MRI)-based texture analysis features. Materials and Method: Histopathologically proven benign or malignant sinonasal tumor patients were included in the study from MRI examinations performed between January 2013 and December 2020. Inclusion criteria included a tumor size of at least 1 cm and preoperative magnetic resonance imaging with axial T1W, axial fat-suppressed T2W, and axial T1W postcontrast sequences. After the images were transferred to a dedicated workstation, texture analysis calculations were performed. Differences between benign and malignant groups were compared. Results: The mean age of 37 patients (8 female, 29 male) included in the study was 50.8 ± 21.9 years. In our study, we found no statistically significant difference between malignant and benign sinonasal tumors in nine tissue analysis parameters obtained by MRI. Conclusion: MRI-based texture analysis needs identical MRI protocols for evaluating tumors. MRI-based texture analysis is not a useful diagnostic tool to discriminate between benign and malignant sinonasal tumors when specific pathologic types are not selected and scanning protocols are not identical.

Keywords

• Magnetic resonance imaging
• sinonasal
• tumor
• texture analysis

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