Article
Radiology, Nuclear Medicine & Medical Imaging
Yuriko Murayama, Takeshi Kamitani, Koji Sagiyama, Yuzo Yamasaki, Tomoyuki Hida, Yuko Matsuura, Ryuji Yasumatsu, Hidetaka Yamamoto, Hidetake Yabuuchi, Kousei Ishigami
Summary: The study evaluated the utility of MRI in differentiating basal cell adenomas (BCAs) from other parotid tumors, showing that BCAs often have smooth margins and cystic components. The ADC values of BCAs were equivalent to PCs, significantly lower than PAs, and significantly higher than WTs.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shao-Nan He, Ren-Cai Lu, Jia-Long Zhou, Bo Wang, Guo-Li Bi, Kun-Hua Wu
Summary: This study found that semiquantitative magnetic resonance imaging parameters have high value in distinguishing pleomorphic adenoma (PA) from Warthin tumor (WT), especially in the early and delayed phases. T1-max TSc-CR in the early phase showed high sensitivity, specificity, and area under the curve at a cutoff value of 1.89, while T1-max TSc-CR in the delayed phase performed better at a cutoff value of 2.33. The combination of all semiquantitative parameters further improved the diagnostic efficiency.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Baomin Feng, Zhou Wang, Jingjing Cui, Jiacun Li, Han Xu, Dexin Yu, Qingshi Zeng, Jianjun Xiu
Summary: This study developed a comprehensive radiomics prediction model using clinical data and enhanced CT to differentiate between parotid polymorphic adenomas (PAs) and Warthin tumors (WTs). The model was validated and tested on a multicenter cohort, showing satisfactory predictive values.
ACADEMIC RADIOLOGY
(2023)
Article
Multidisciplinary Sciences
Fumine Tanaka, Maki Umino, Masayuki Maeda, Ryohei Nakayama, Katsuhiro Inoue, Ryota Kogue, Makoto Obara, Hajime Sakuma
Summary: The combination of TBF and ADC evaluated by histogram analysis may help differentiate salivary gland MTs from PAs and WTs.
SCIENTIFIC REPORTS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yunlin Zheng, Di Zhou, Huan Liu, Ming Wen
Summary: The combined model incorporating radiomics and clinical features demonstrated an excellent ability to distinguish between benign and malignant parotid tumors, providing a noninvasive and efficient method for clinical decision making.
EUROPEAN RADIOLOGY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Konstantinos Mantsopoulos, Matti Sievert, Ann-Kristin Iro, Sarina Katrin Mueller, Michael Koch, Mirco Schapher, Abbas Agaimy, Heinrich Iro
Summary: This study revealed significant differences in histopathological characteristics between pleomorphic adenomas of the parotid and submandibular glands, with submandibular PAs being characterized by an intact capsule, infrequent pseudopodia and satellite nodules.
Article
Oncology
Yang Lu, Haifeng Liu, Qi Liu, Siqi Wang, Zuhui Zhu, Jianguo Qiu, Wei Xing
Summary: This study evaluated the accuracy of stratifying parotid gland tumors based on noncontrast CT images using radiomics features and identified the best classifier for different radiomics models. The results showed that noncontrast CT-based radiomics could effectively stratify refined pathological types of parotid tumors, but were insufficient in differentiating between pleomorphic adenoma (PA) and basal cell adenoma (BCA). Different classifiers had the best diagnostic performance for different parotid tumors. This study contributes to the current knowledge on the differential diagnosis of parotid tumors.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Baohong Wen, Zanxia Zhang, Jing Zhu, Liang Liu, Yinhua Li, Haoyu Huang, Yong Zhang, Jingliang Cheng
Summary: The study utilized radiomics features based on ADC maps to accurately stratify parotid gland tumors, aiding clinicians in distinguishing PA and WT from MTs.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Delia Doris Muntean, Sorin Marian Dudea, Mihaela Baciut, Cristian Dinu, Sebastian Stoia, Carolina Solomon, Csutak Csaba, Georgeta Mihaela Rusu, Lavinia Manuela Lenghel
Summary: MRI represents the best imaging technique in diagnosing and characterizing parotid gland tumors. However, accurate malignancy detection remains a challenge due to overlapping radiological features. Radiomics has emerged as a promising non-invasive approach in tumor classification, and this study aimed to evaluate the ability of MRI radiomic features to differentiate between benign and malignant parotid gland tumors. The radiomic signature showed good diagnostic performance in distinguishing between tumor types.
Article
Medicine, Research & Experimental
Konstantinos Mantsopoulos, Vivian Thimsen, Antoniu-Oreste Gostian, Sarina K. Mueller, Matti Sievert, Ann-Kristin Iro, Abbas Agaimy, Heinrich Iro
Summary: This study identified significant associations between histological subtypes of pleomorphic adenomas of the parotid gland and age, maximal diameter, incomplete capsule, pseudopodia, and satellite nodules.Various histologic subtypes have different capsule-producing properties with potential implications for tumor progression and behavior.
Article
Radiology, Nuclear Medicine & Medical Imaging
Menglong Zheng, Qi Chen, Yaqiong Ge, Liping Yang, Yulong Tian, Chang Liu, Peng Wang, Kexue Deng
Summary: This study aimed to investigate the diagnostic performance of a radiomics nomogram based on contrast-enhanced CT images in differentiating the two most common benign parotid gland tumors. The radiomics model showed good discrimination and the radiomics nomogram displayed excellent predictive capability for differentiating the two tumor types. The combined radiomics nomogram provided superior clinical usefulness compared to the clinical factor model and radiomics model.
Article
Biology
Karolina Markiet, Anna Glinska, Tomasz Nowicki, Edyta Szurowska, Boguslaw Mikaszewski
Summary: This study aimed to identify quantitative intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters of the most frequent benign parotid tumors, pleomorphic adenomas (PAs) and Warthin tumors (WT), and compare their utility and diagnostic accuracy. The results showed significant differences between PAs and WT in all tested parameters except initial area under curve in 60 s (iAUC). ADC, D, Kep, and Ve were identified as the most significant parameters for differentiating between PAs and WT.
Article
Oncology
Felix Johnson, Benedikt Hofauer, Markus Wirth, Barbara Wollenberg, Fabian Stoegbauer, Susan Notohamiprodjo, Bernhard Haller, Robin Reschke, Andreas Knopf, Ulrich Strassen
Summary: In this study, it was found that pleomorphic adenoma in salivary glands has a high concentration of the somatostatin receptor 2 (SSTR2), which may allow for non-invasive diagnosis and treatment of this tumor. Reliable preoperative diagnosis of salivary gland tumors is difficult. Immunohistochemistry testing showed that 42.3% of pleomorphic adenoma tumors demonstrated positive expression of SSTR2.
Article
Oncology
Francesca Piludu, Simona Marzi, Marco Ravanelli, Raul Pellini, Renato Covello, Irene Terrenato, Davide Farina, Riccardo Campora, Valentina Ferrazzoli, Antonello Vidiri
Summary: The study aimed to develop predictive models for distinguishing parotid lesions using MRI-based radiomics with T2-weighted images and ADC maps. Results showed good to excellent diagnostic accuracies in differentiating parotid lesions, which were confirmed with an external validation cohort after utilizing qualitative scores evaluating margins and CE.
FRONTIERS IN ONCOLOGY
(2021)
Article
Multidisciplinary Sciences
Boguslaw Mikaszewski, Karolina Markiet, Aneta Smugala, Dominik Stodulski, Ewa Garsta, Jakub Piatkowski, Edyta Szurowska
Summary: An algorithm for differential diagnostics of parotid malignancies and Warthin tumors based on DCE-MRI was defined in this study. ROC analysis showed that T-peak > 60 s and WR <= 30% were the cut-off values with maximum sensitivity (84.2%) and specificity (86.1%) for malignant tumors. Lower T-peak value (T-peak = 60 s) increased the sensitivity of DCE-MRI in distinguishing parotid malignancies from WTs, while WR > 30% seemed to be a key diagnostic criterion for benign lesions.
SCIENTIFIC REPORTS
(2021)