Comprehensive analysis of parotid mass: A retrospective study of 369 cases

Çomoğlu, Şenol; Öztürk, Erkan; Çelık, Mehmet; Avcı, Hakan; Sönmez, Said; Başaran, Bora; Kiyak, Erkan

doi:10.1016/j.anl.2017.04.003

Cited by 26 publications

(23 citation statements)

References 37 publications

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“…The pain was significantly more present in malignant tumors ( p <0.05). This finding agrees with that of Comoglu et al , 2018, who showed that all patients with SGT with preoperative facial paralysis were diagnosed with malignant tumors, suggesting that this sign is indicative of malignancy (38). However, another study reported that three patients with benign tumors presented preoperative facial paralysis due to the compression caused by the lesion; therefore, this symptom should not be considered a sign of malignancy (39).…”

Section: Discussionsupporting

confidence: 92%

Retrospective study of 124 cases of salivary gland tumors and literature review

et al. 2019

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Background: Salivary gland tumors are a rare and morphologically diverse group of lesions and their frequency is still unknown in several parts of the world. The knowledge of its population characteristics contributes to a better understanding of its etiopathogenesis. Objectives: This study investigated the frequency of salivary gland tumors in a region of southern Brazil and compared these data in a literature review. Material and Methods: A retrospective study was conducted of salivary gland tumors diagnosed at two pathology centers from 1995 to 2016. Patient age and gender, tumor site and frequency, histopathological diagnosis, and symptomatology were evaluated. Chi-squared tests were used to assess the associations between variables. To compare our data, we also conducted a literature review of publications in the PubMed and LILACS databases of retrospective studies of salivary gland tumors. Results: A total of 124 salivary gland tumor cases was identified, 81 (65.3%) of which were classified as benign and 43 (34.6%) as malignant. Most tumors occurred in the parotid gland (57.2%). Pleomorphic adenoma was the most common tumor (59.6%), followed by adenocarcinoma not otherwise specified (8.8%). The tumors occurred more often in women (54.8%) than in men (45.2%). Malignant tumors were associated with pain in 31.4% of cases (p <0.05). The literature review included 35 articles from different countries. Women were most affected, with a mean age of 41.7 years. The most common benign tumor was pleomorphic adenoma (48.2%) and the most common malignant tumor was mucoepidermoid carcinoma (8.7%). Conclusions: The results of the present study showed that salivary gland tumors are rare. The parotid gland is the most common location and pleomorphic adenoma are the most frequent lesions. The malignant tumors presented as several histological types and the incidence was variable globally.

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Section: Discussionsupporting

confidence: 92%

Retrospective study of 124 cases of salivary gland tumors and literature review

et al. 2019

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“…Compared with PA, PPA shows a higher potential for malignant change and recurrence risk. Thus, the operation type for PPA patients is quite different from that for PA patients-the former needs to undergo partial parotidectomy while the latter are treated only with local surgical Li-na Song excision of the masses [2,3]. Therefore, an accurate differential diagnosis is mandatory to implement clinically appropriate strategies for PA and PPA patients.…”

Section: Introductionmentioning

confidence: 99%

Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images

Song

Chen

et al. 2021

BMC Med Imaging

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Background Distinguishing parotid pleomorphic adenoma (PPA) from parotid adenolymphoma (PA) is important for precision treatment, but there is a lack of readily available diagnostic methods. In this study, we aimed to explore the diagnostic value of radiomic signatures based on magnetic resonance imaging (MRI) for PPA and PA. Methods The clinical characteristic and imaging data were retrospectively collected from 252 cases (126 cases in the training cohort and 76 patients in the validation cohort) in this study. Radiomic features were extracted from MRI scans, including T1-weighted imaging (T1WI) sequences and T2-weighted imaging (T2WI) sequences. The radiomic features from three sequences (T1WI, T2WI and T1WI combined with T2WI) were selected using univariate analysis, LASSO correlation and Spearman correlation. Then, we built six quantitative radiomic models using the selected features through two machine learning methods (multivariable logistic regression, MLR, and support vector machine, SVM). The performances of the six radiomic models were assessed and the diagnostic efficacies of the ideal T1-2WI radiomic model and the clinical model were compared. Results The T1-2WI radiomic model using MLR showed optimal discriminatory ability (accuracy = 0.87 and 0.86, F-1 score = 0.88 and 0.86, sensitivity = 0.90 and 0.88, specificity = 0.82 and 0.80, positive predictive value = 0.86 and 0.84, negative predictive value = 0.86 and 0.84 in the training and validation cohorts, respectively) and its calibration was observed to be good (p > 0.05). The area under the curve (AUC) of the T1-2WI radiomic model was significantly better than that of the clinical model for both the training (0.95 vs. 0.67, p < 0.001) and validation (0.90 vs. 0.68, p = 0.001) cohorts. Conclusions The T1-2WI radiomic model in our study is complementary to the current knowledge of differential diagnosis for PPA and PA.

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“…Compared with PA, PPA shows a higher potential for malignant change and recurrence risk. Thus, the operation type for PPA patients is quite different from that for PA patients-the former needs to undergo partial parotidectomy while the latter are treated only with local surgical excision of the masses [2][3] . Therefore, an accurate differential diagnosis is mandatory to implement clinically appropriate strategies for PA and PPA patients.…”

Section: Introductionmentioning

confidence: 99%

Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images

Song

Chen

et al. 2020

Preprint

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Background: Distinguishing parotid pleomorphic adenoma (PPA) from parotid adenolymphoma (PA) is important for precision treatment, but there is a lack of readily available diagnostic methods. In this study, we aimed to explore the diagnostic value of radiomic signatures based on magnetic resonance imaging (MRI) for PPA and PA. Methods: The clinical characteristic and imaging data were retrospectively collected from 252 cases (126 cases in the training cohort and 76 patients in the validation cohort) in this study. Radiomic features were extracted from MRI scans, including T1-weighted imaging (T1WI) sequences and T2-weighted imaging (T2WI) sequences. The radiomic features from three sequences (T1WI, T2WI and T1WI combined with T2WI) were selected using univariate analysis, LASSO correlation and Spearman correlation. Then, we built six quantitative radiomic models using the selected features through two machine learning methods (multivariable logistic regression, MLR, and support vector machine, SVM). The performances of the six radiomic models were assessed and the diagnostic efficacies of the ideal T1-2WI radiomic model and the clinical model were compared.Results: The T1-2WI radiomic model using MLR showed optimal discriminatory ability (accuracy = 0.87 and 0.86, F-1 score = 0.88 and 0.86, sensitivity= 0.90 and 0.88, specificity=0.82 and 0.80, positive predictive value=0.86 and 0.84, negative predictive value=0.86 and 0.84 in the training and validation cohorts, respectively) and its calibration was observed to be good (p>0.05). The area under the curve (AUC) of the T1-2WI radiomic model was significantly better than that of the clinical model for both the training (0.95 vs. 0.67, p=0.000) and validation (0.90 vs. 0.68, p=0.001) cohorts.Conclusions: The T1-2WI radiomic model in our study is complementary to the current knowledge of differential diagnosis for PPA and PA.

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Comprehensive analysis of parotid mass: A retrospective study of 369 cases

Cited by 26 publications

References 37 publications

Retrospective study of 124 cases of salivary gland tumors and literature review

Retrospective study of 124 cases of salivary gland tumors and literature review

Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images

Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images

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