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Noninvasive carcinoma ex pleomorphic adenoma of the parotid gland: A difficult diagnosis on fine needle aspiration.

ABSTRACT: Carcinoma ex pleomorphic adenoma (CXPA) is a rare epithelial malignancy that arises from a primary or recurrent pleomorphic adenoma (PA). It may be noninvasive (NI) or invasive. NI CXPA is extremely rare. Preoperative diagnosis on fine needle aspiration (FNA) of CXPA may be difficult and poses a diagnostic challenge to clinicians and pathologists. Herein, we describe the FNA findings of a case of NI-CXPA. A 69-year-old woman presented with rapid enlargement of a stable parotid mass of 25 years. Cytologically, malignant cells were focally associated with metachromatic fibromyxoid matrix that was homogeneous and dense with a vague fibrillary quality. There were cell groups, papillary-like clusters and single malignant cells. The nuclei were pleomorphic with irregularly dispersed chromatin, and the cytoplasm was ill-defined and granular. Nucleoli were small to inconspicuous. Mitoses and necrosis were not seen. Cytological features were not specific for any type of salivary gland carcinoma. The FNA diagnosis was primary high-grade adenocarcinoma of the parotid gland, not otherwise specified. Facial nerve-sparing total parotidectomy was performed, which histologically showed PA interspersed with ducts and nests composed of pleomorphic atypical nuclei surrounded by extensive hyalinization. Single cells were also noted. No capsular infiltration was seen in the entirely sampled tumor. Immunohistochemistry for Ki-67 showed a higher proliferation rate in the malignant ducts and p63 positive cells focally surrounded some of the malignant ducts. Histological diagnosis was NI-CXPA. Accurate diagnosis is important for proper surgical management; however, the preoperative diagnosis of NI-CXPA is difficult to make on FNA.

SUBMITTER: Scognamiglio T

PROVIDER: S-EPMC4421923 | biostudies-other | 2015

REPOSITORIES: biostudies-other

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Project description:ObjectiveTo evaluate the diagnostic performance of computed tomography (CT) radiomics analysis for differentiating pleomorphic adenoma (PA), Warthin tumor (WT), and basal cell adenoma (BCA).MethodsA total of 189 patients with PA (n = 112), WT (n = 53) and BCA (n = 24) were divided into a training set (n = 133) and a test set (n = 56). The radiomics features were extracted from plain CT and contrast-enhanced CT images. After dimensionality reduction, plain CT, multiphase-enhanced CT, integrated radiomics signature models and radiomics score (Rad-score) were established and calculated. The receiver operating characteristic (ROC) curve analysis was taken for the assessment of the model performance, and then comparison was conducted among these models. Decision curve analysis (DCA) was adopted to assess the clinical benefits of the models. Diagnostic performances including sensitivity, specificity, and accuracy of the radiologists were evaluated.ResultsSeven, nine, fourteen, and fourteen optimal features were used to constructed plain scan, arterial phase, venous phase, and integrated radiomics signature models, respectively. ROC analysis showed these four models were able to differentiate PA from BCA and WT, with the area under the ROC curve (AUC) values of 0.79, 0.90, 0.87, and 0.94 in the training set, and 0.79, 0.89, 0.86, and 0.94 in the test set, respectively. The integrated model had better diagnostic performance than single-phase radiomics model, but it had similar diagnostic performance to that of the radiomics model based on the arterial phase (p > 0.05). The sensitivity, specificity, and accuracy in the diagnosis of PA were 0.86, 0.46, and 0.70 for the non-subspecialized radiologist and 0.88, 0.77, and 0.84 for the subspecialized radiologist, respectively. Six venous phase parameters were finally selected in differentiating WT from BCA. The predictive effect of the model was favorable, with AUC value of 0.95, sensitivity of 0.96, specificity of 0.83, and accuracy of 0.92. The sensitivity, specificity, and accuracy in the diagnosis between WT and BCA were 0.26, 0.87, and 0.45 for the non-subspecialized radiologist and 0.85, 0.58, and 0.77 for the subspecialized radiologist, respectively.ConclusionThe CT-based radiomics analysis showed favorable predictive performance for differentiating PA, WT, and BCA, thus may be helpful in the clinical decision-making.

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Noninvasive carcinoma ex pleomorphic adenoma of the parotid gland: A difficult diagnosis on fine needle aspiration.

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