Literature DB >> 28948489

Assessment of salivary gland tumors using MRI and CT: impact of experience on diagnostic accuracy.

Thomas J Vogl1, Moritz H Albrecht2, Nour-El-Din A Nour-Eldin2, Hanns Ackermann3, Adel Maataoui2, Timo Stöver4, Matthew W Bickford5, Tatjana Stark-Paulsen2.   

Abstract

RATIONALE AND
OBJECTIVES: To analyze the accuracy of radiological diagnosis in MRI and CT studies of salivary gland tumors depending on the radiologist's experience.
MATERIALS AND METHODS: Three radiologists with differing experience (R1 > 20, R2 > 11, and R3 > 7 years, respectively) retrospectively reviewed 128 cases (116 MRI, 12 CT studies) with suspected salivary gland tumors regarding dignity and classification using histopathology as a reference standard. Sensitivity, specificity, positive/negative predictive value and inter-observer agreement (using Cohen's κ) were calculated to compare diagnostic performance.
RESULTS: Lesions were benign in 87 and in 23 cases malignant. Neoplasia was absent in 18 cases (15 cases without neoplasia and 3 cases without disease). The highest inter-observer agreement for determining dignity using CT was found between R1 and R2 (κ = 0.74, p < 0.001), and the lowest between R2 and R3 (κ = 0.28, p < 0.001). MRI sensitivity/specificity for classifying pleomorphic adenomas was as follows: R1 (100%/100%), R2 (76.92%/87.01%), R3 (43.53%/67.53%), and for CT: R1 (100%/100%), R2 (100%/88.89%), R3 (66.67%/88.89%; for Warthin's tumor using MRI: R1 (100%/97.44%), R2 (68.42%/83.33%), R3 (50.00%/67.95%), and using CT: R1 (100%/100%), R2 (50.00%/100%), R3 (100%/100%; for squamous cell carcinomas using MRI: R1 (100%/100%), R2 (75.00%/97.12%), R3 (75.00%/99.04%), and using CT: R1 (100%/100%), R2 (66.67%/88.89%), R3 (66.67%/66.67%). The highest agreement was found between R1 and R2 for MRI (κ = 0.62, p < 0.001), and the lowest between R1 and R3 at MRI (κ = 0.28, p < 0.001).
CONCLUSION: Diagnostic accuracy in the assessment of salivary gland tumors strongly depends on the observer's expertise and increases with higher experience.

Entities:  

Keywords:  CT; Diagnostic accuracy; MRI; Radiological experience; Salivary gland tumor

Mesh:

Year:  2017        PMID: 28948489     DOI: 10.1007/s11547-017-0813-z

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  36 in total

1.  Diagnosing common parotid tumours with magnetic resonance imaging including diffusion-weighted imaging vs fine-needle aspiration cytology: a comparative study.

Authors:  H Yerli; E Aydin; N Haberal; A Harman; T Kaskati; S Alibek
Journal:  Dentomaxillofac Radiol       Date:  2010-09       Impact factor: 2.419

Review 2.  Postprocessing in Maxillofacial Multidetector Computed Tomography.

Authors:  Silvio Mazziotti; Alfredo Blandino; Michele Gaeta; Antonio Bottari; Carmelo Sofia; Tommaso D'Angelo; Giorgio Ascenti
Journal:  Can Assoc Radiol J       Date:  2015-05-20       Impact factor: 2.248

3.  Solitary fibrous tumours in the extracranial head and neck region: correlation of CT and MR features with pathologic findings.

Authors:  Yu Liu; KaiCheng Li; Huimin Shi; XiaoFeng Tao
Journal:  Radiol Med       Date:  2014-05-27       Impact factor: 3.469

4.  Epithelial salivary gland tumors in two distant geographical locations, Finland (Helsinki and Oulu) and Israel (Tel Aviv): a 10-year retrospective comparative study of 2,218 cases.

Authors:  Ibrahim O Bello; Tuula Salo; Dan Dayan; Elisa Tervahauta; Alhadi Almangoush; Anna Schnaiderman-Shapiro; Iris Barshack; Ilmo Leivo; Marilena Vered
Journal:  Head Neck Pathol       Date:  2012-01-07

5.  Tumors of the parotid gland: MR imaging characteristics of various histologic types.

Authors:  V Q Joe; P L Westesson
Journal:  AJR Am J Roentgenol       Date:  1994-08       Impact factor: 3.959

6.  Differentiation of benign and malignant parotid tumors using deconvolution-based perfusion CT imaging: feasibility of the method and initial results.

Authors:  S Bisdas; M Baghi; J Wagenblast; R Knecht; C H Thng; T S Koh; T J Vogl
Journal:  Eur J Radiol       Date:  2007-03-30       Impact factor: 3.528

Review 7.  Imaging of salivary gland tumours.

Authors:  Y Y P Lee; K T Wong; A D King; A T Ahuja
Journal:  Eur J Radiol       Date:  2008-03-11       Impact factor: 3.528

8.  [Diagnostic imaging of the salivary glands in patients undergoing radiotherapy of head and neck neoplasms].

Authors:  P Cardello; M Trinci; D Messineo; M Tuccimei; R Massa; M Marini; M Trinci
Journal:  Radiol Med       Date:  1998-03       Impact factor: 3.469

9.  Clinicopathologic study of 1176 salivary gland tumors in a Chinese population: experience of one cancer center 1997-2007.

Authors:  Yu-Long Wang; Yong-Xue Zhu; Tong-Zhen Chen; Yu Wang; Guo-Hua Sun; Ling Zhang; Cai-Ping Huang; Zhuo-Ying Wang; Qiang Shen; Duan-Shu Li; Yi Wu; Qing-Hai Ji
Journal:  Acta Otolaryngol       Date:  2012-04-12       Impact factor: 1.494

Review 10.  An overview of the rare parotid gland cancer.

Authors:  Kimberley Ho; Helen Lin; David K Ann; Peiguo G Chu; Yun Yen
Journal:  Head Neck Oncol       Date:  2011-09-14
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  4 in total

1.  Imaging biomarkers in the diagnosis of salivary gland tumors: the value of lesion/parenchyma ratio of perfusion-MR pharmacokinetic parameters.

Authors:  Francesco Mungai; Giovanni Battista Verrone; Luigi Bonasera; Eleonora Bicci; Michele Pietragalla; Cosimo Nardi; Valentina Berti; Lorenzo Nicola Mazzoni; Vittorio Miele
Journal:  Radiol Med       Date:  2021-06-28       Impact factor: 3.469

2.  Delayed enhancement in differential diagnosis of salivary gland neoplasm.

Authors:  Alfonso Reginelli; Alfredo Clemente; Matteo Renzulli; Nicola Maggialetti; Mario Santagata; Giuseppe Colella; Valerio Nardone; Rita Golfieri; Luca Brunese; Salvatore Cappabianca
Journal:  Gland Surg       Date:  2019-09

3.  Reliability of humeral head measurements performed using two- and three-dimensional computed tomography in patients with shoulder instability.

Authors:  Jakub Stefaniak; A M Kubicka; A Wawrzyniak; L Romanowski; P Lubiatowski
Journal:  Int Orthop       Date:  2020-07-26       Impact factor: 3.075

4.  Comparison of Different Machine Models Based on Multi-Phase Computed Tomography Radiomic Analysis to Differentiate Parotid Basal Cell Adenoma From Pleomorphic Adenoma.

Authors:  Yun-Lin Zheng; Yi-Neng Zheng; Chuan-Fei Li; Jue-Ni Gao; Xin-Yu Zhang; Xin-Yi Li; Di Zhou; Ming Wen
Journal:  Front Oncol       Date:  2022-07-12       Impact factor: 5.738

  4 in total

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