Texture-Based Analysis of 100 MR Examinations of Head and Neck Tumors – Is It Possible to Discriminate Between Benign and Malignant Masses in a Multicenter Trial?
| Autor: | John R. Hesselink, Julia Fruehwald-Pallamar, Marius E. Mayerhoefer, Christian Czerny, Laura Holzer-Fruehwald, M. F. Mafee |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Lymphoma Radiography Neck mass Adenocarcinoma Sensitivity and Specificity Diagnosis Differential Young Adult Imaging Three-Dimensional Region of interest Multicenter trial Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Child Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Magnetic resonance imaging Middle Aged Image Enhancement medicine.disease Linear discriminant analysis Carcinoma Adenoid Cystic Magnetic Resonance Imaging Head and Neck Neoplasms Carcinoma Squamous Cell Female Radiology Differential diagnosis medicine.symptom business Software |
| Zdroj: | Europe PubMed Central |
| ISSN: | 1438-9010 1438-9029 |
| Popis: | Aim: To evaluate whether texture-based analysis of standard MRI sequences can help in the discrimination between benign and malignant head and neck tumors. Materials and Methods: The MR images of 100 patients with a histologically clarified head or neck mass, from two different institutions, were analyzed. Texture-based analysis was performed using texture analysis software, with region of interest measurements for 2 D and 3 D evaluation independently for all axial sequences. COC, RUN, GRA, ARM, and WAV features were calculated for all ROIs. 10 texture feature subsets were used for a linear discriminant analysis, in combination with k-nearest-neighbor classification. Benign and malignant tumors were compared with regard to texture-based values. Results: There were differences in the images from different field-strength scanners, as well as from different vendors. For the differentiation of benign and malignant tumors, we found differences on STIR and T2-weighted images for 2 D, and on contrast-enhanced T1-TSE with fat saturation for 3 D evaluation. In a separate analysis of the subgroups 1.5 and 3 Tesla, more discriminating features were found. Conclusion: Texture-based analysis is a useful tool in the discrimination of benign and malignant tumors when performed on one scanner with the same protocol. We cannot recommend this technique for the use of multicenter studies with clinical data. Key Points: Citation Format: • Fruehwald-Pallamar J., Hesselink J. R., Mafee M. F. et al. Texture-Based Analysis of 100 MR Examinations of Head and Neck Tumors – Is It Possible to Discriminate Between Benign and Malignant Masses in a Multicenter Trial?. Fortschr Rontgenstr 2016; 188: 195 – 202 |
| Databáze: | OpenAIRE |
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