Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?
| Autor: | Rosalia Gargano, Barbara Verro, Alessandro Stefano, Giuseppe Salvaggio, Federica Vernuccio, Roberto Lagalla, Francesco Agnello, Antonio Lo Casto, Massimo Midiri, Albert Comelli, Vito Rodolico, Federica Arnone, Roberto Cannella |
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| Přispěvatelé: | Vernuccio F., Arnone F., Cannella R., Verro B., Comelli A., Agnello F., Stefano A., Gargano R., Rodolico V., Salvaggio G., Lagalla R., Midiri M., Casto A.L. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Texture (geology) Sensitivity and Specificity Diagnosis Differential Young Adult Text mining Radiomics Adolescent Adult Aged Aged 80 and over Child Diagnosis Differential Evaluation Studies as Topic Female Humans Magnetic Resonance Imaging Male Middle Aged Parotid Gland Parotid Neoplasms Reproducibility of Results Retrospective Studies Sensitivity and Specificity Young Adult medicine Humans Parotid Gland Radiology Nuclear Medicine and imaging Child Aged Retrospective Studies Aged 80 and over Full Paper business.industry Reproducibility of Results General Medicine Middle Aged Magnetic Resonance Imaging Parotid gland Parotid Neoplasms medicine.anatomical_structure Evaluation Studies as Topic Female Radiology business |
| Zdroj: | The British Journal of Radiology British journal of radiology 94 (2021): 20210340.. doi:10.1259/bjr.20210340 info:cnr-pdr/source/autori:Vernuccio F.; Arnone F.; Cannella R.; Verro B.; Comelli A.; Agnello F.; Stefano A.; Gargano R.; Rodolico V.; Salvaggio G.; Lagalla R.; Midiri M.; Lo Casto A./titolo:Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?/doi:10.1259%2Fbjr.20210340/rivista:British journal of radiology/anno:2021/pagina_da:20210340./pagina_a:/intervallo_pagine:20210340./volume:94 |
| DOI: | 10.1259/bjr.20210340 |
| Popis: | Objective: To investigate whether MRI-based texture analysis improves diagnostic performance for the diagnosis of parotid gland tumors compared to conventional radiological approach. Methods: Patients with parotid gland tumors who underwent salivary glands MRI between 2008 and 2019 were retrospectively selected. MRI analysis included a qualitative assessment by two radiologists (one of which subspecialized on head and neck imaging), and texture analysis on various sequences. Diagnostic performances including sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of qualitative features, radiologists’ diagnosis, and radiomic models were evaluated. Results: Final study cohort included 57 patients with 74 tumors (27 pleomorphic adenomas, 40 Warthin tumors, 8 malignant tumors). Sensitivity, specificity, and AUROC for the diagnosis of malignancy were 75%, 97% and 0.860 for non-subspecialized radiologist, 100%, 94% and 0.970 for subspecialized radiologist and 57.2%, 93.4%, and 0.927 using a MRI radiomics model obtained combining texture analysis on various MRI sequences. Sensitivity, specificity, and AUROC for the differential diagnosis between pleomorphic adenoma and Warthin tumors were 81.5%, 70%, and 0.757 for non-subspecialized radiologist, 81.5%, 95% and 0.882 for subspecialized radiologist and 70.8%, 82.5%, and 0.808 using a MRI radiomics model based on texture analysis of T2 weighted sequence. A combined radiomics model obtained with all MRI sequences yielded a sensitivity of 91.5% for the diagnosis of pleomorphic adenoma. Conclusion: MRI qualitative radiologist assessment outperforms radiomic analysis for the diagnosis of malignancy. MRI predictive radiomics models improves the diagnostic performance of non-subspecialized radiologist for the differential diagnosis between pleomorphic adenoma and Warthin tumor, achieving similar performance to the subspecialized radiologist. Advances in knowledge: Radiologists outperform radiomic analysis for the diagnosis of malignant parotid gland tumors, with some MRI qualitative features such as ill-defined margins, perineural spread, invasion of adjacent structures and enlarged lymph nodes being highly specific for malignancy. A radiomic model based on texture analysis of T2 weighted images yields higher specificity for the diagnosis of pleomorphic adenoma compared to a radiologist non-subspecialized in head and neck radiology, thus minimizing false-positive pleomorphic adenoma diagnosis rate and reducing unnecessary surgical complications. |
| Databáze: | OpenAIRE |
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