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Diagnostic value of diffusion weighted imaging and conventional magnetic resonance imaging on parotid gland tumors
LIU Yuanzao  SHI Tianliang  QIN Zhihong  LUO Yingbin  YANG Changfu 

Cite this article as: LIU Y Z, SHI T L, QIN Z H, et al. Diagnostic value of diffusion weighted imaging and conventional magnetic resonance imaging on parotid gland tumors[J]. Chin J Magn Reson Imaging, 2023, 14(11): 142-146, 163. DOI:10.12015/issn.1674-8034.2023.11.023.


[Abstract] Objective To investigate the value of diffusion weighted imaging (DWI), conventional MRI (cMRI) finding and demographic data to diagnose parotid gland tumors.Materials and Methods A retrospective evaluation was made of the clinical data, histopathologic data, preoperative cMRI and DWI of 85 patients who underwent parotidectomy from November 2015 to September 2021 in Tongren People's Hospital. They were classified into three categories according to pathology: pleomorphic adenoma (PA), Warthin's tumor (WT) and malignant tumor (MT). Values of apparent diffusion coefficient (ADC) for PA, WT and MT were compared. The signal of lesion was observed on cMRI sequence. Classification variables were tested using Pearson's chi-squared test. For metric parameters, normality tests were performed first. If they follow a normal distribution, t-tests erre used, else non-parametric tests will be used.Results A total of 35 cases were PA, 31 cases were WT and the remaining 19 cases were MT. the PA group was younger and more frequent in females than the WT and MT groups, while WT and MT were more frequent in males. The PA group was younger and more frequent in females than the WT and MT groups, whereas it was more frequent in WT and MT in males. The cMRI was able to clearly visualize anatomical structures. The median of ADC values for them were (1.53±0.29) ×10-3 mm2/s, (0.77±0.20) ×10-3 mm2/s and (1.06±0.19) ×10-3 mm2/s, respectively. PA was differentiated from the other two groups (P＜0.001). When the ADC threshold was 1.23×10-3 mm2/s, the sensitivity and specificity for differentiating PA from WT was 94.3% and 93.5%, respectively; and when the ADC threshold was 1.29×10-3 mm2/s for identifying PA from MT was 85.7% and 84.2%, respectively.Conclusions cMRI can provide anatomical and adjacent structural information for parotid gland tumors, and the ADC value can characterize the histopathological features of the tissue. The combination of the two is helpful for distinguishing between PA, WT, and MT, and is an important auxiliary tool for preoperative evaluation of parotid gland tumors.
[Keywords] magnetic resonance imaging；diffusion weighted imaging；apparent diffusion coefficient；parotid Gland；pleomorphic adenoma；Warthin's tumor；malignant tumor

LIU Yuanzao   SHI Tianliang*   QIN Zhihong   LUO Yingbin   YANG Changfu  

Department of Radiology, Tongren People's Hospital, Tongren 554300, China

Corresponding author: SHI T L, E-mail: 573331389@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Science and Technology Foundation of Guizhou Provincial Health Commission (No. gzwjkj2020-1-178).
Received  2021-11-16
Accepted  2023-10-27
DOI: 10.12015/issn.1674-8034.2023.11.023
Cite this article as: LIU Y Z, SHI T L, QIN Z H, et al. Diagnostic value of diffusion weighted imaging and conventional magnetic resonance imaging on parotid gland tumors[J]. Chin J Magn Reson Imaging, 2023, 14(11): 142-146, 163. DOI:10.12015/issn.1674-8034.2023.11.023.

[1]
PATELLA F, FRANCESCHELLI G, PETRILLO M, et al. A multiparametric analysis combining DCE-MRI- and IVIM-derived parameters to improve differentiation of parotid tumors: a pilot study[J]. Future Oncol, 2018, 14(28): 2893-2903. DOI: 10.2217/fon-2017-0655.
[2]
LOBO R, HAWK J, SRINIVASAN A. A review of salivary gland malignancies: common histologic types, anatomic considerations, and imaging strategies[J]. Neuroimaging Clin N Am, 2018, 28(2): 171-182. DOI: 10.1016/j.nic.2018.01.011.
[3]
KARAMAN C Z, TANYERI A, ÖZGÜR R, et al. Parotid gland tumors: comparison of conventional and diffusion-weighted MRI findings with histopathological results[J/OL]. Dentomaxillofac Radiol, 2021, 50(4): 20200391 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/33237812/. DOI: 10.1259/dmfr.20200391.
[4]
HUANG N, CHEN Y, SHE D J, et al. Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors[J]. Eur Radiol, 2022, 32(4): 2748-2759. DOI: 10.1007/s00330-021-08312-y.
[5]
PÂRIS P, FATH L, SCHULTZ P, et al. Diffusion-weighted and gadolinium-enhanced dynamic MRI in parotid gland tumors[J]. Eur Arch Otorhinolaryngol, 2023, 280(1): 391-398. DOI: 10.1007/s00405-022-07590-6.
[6]
LECHNER GOYAULT J, RIEHM S, NEUVILLE A, et al. Interest of diffusion-weighted and gadolinium-enhanced dynamic MR sequences for the diagnosis of parotid gland tumors[J]. J De Neuroradiol, 2011, 38(2): 77-89. DOI: 10.1016/j.neurad.2009.10.005.
[7]
KATO H, KAWAGUCHI M, ANDO T, et al. Current status of diffusion-weighted imaging in differentiating parotid tumors[J]. Auris Nasus Larynx, 2023, 50(2): 187-195. DOI: 10.1016/j.anl.2022.07.002.
[8]
MARTINO M, FODOR D, FRESILLI D, et al. Narrative review of multiparametric ultrasound in parotid gland evaluation[J]. Gland Surg, 2020, 9(6): 2295-2311. DOI: 10.21037/gs-20-530.
[9]
LI Z Q, GAO J N, XU S, et al. Multimodal magnetic resonance imaging for the diagnosis of parotid gland malignancies: systematic review and meta-analysis[J]. Transl Cancer Res, 2022, 11(7): 2275-2282. DOI: 10.21037/tcr-22-695.
[10]
SUPRIYA M, DENHOLM S, PALMER T. Seeding of tumor cells after fine needle aspiration cytology in benign parotid tumor: a case report and literature review[J]. Laryngoscope, 2008, 118(2): 263-265. DOI: 10.1097/MLG.0b013e318158f718.
[11]
FASSNACHT W, SCHMITZ S, WEYNAND B, et al. Pitfalls in preoperative work-up of parotid gland tumours: 10-year series[J]. B-ENT, 2013, 9(2): 83-88.
[12]
ELMOKADEM A H, ABDEL KHALEK A M, ABDEL WAHAB R M, et al. Diagnostic accuracy of multiparametric magnetic resonance imaging for differentiation between parotid neoplasms[J]. J L'association Can Des Radiol, 2019, 70(3): 264-272. DOI: 10.1016/j.carj.2018.10.010.
[13]
CHRISTE A, WALDHERR C, HALLETT R, et al. MR imaging of parotid tumors: typical lesion characteristics in MR imaging improve discrimination between benign and malignant disease[J]. AJNR Am J Neuroradiol, 2011, 32(7): 1202-1207. DOI: 10.3174/ajnr.A2520.
[14]
MANTSOPOULOS K, SIEVERT M, IRO A K, et al. Histopathological comparison of pleomorphic adenomas of the parotid and submandibular gland[J]. Oral Dis, 2022, 28(4): 1131-1136. DOI: 10.1111/odi.13858.
[15]
WU Y, XIE Y L, ZHANG S T, et al. Radiomic analysis based on MR-T2WI and combined diagnostic model for identification of pleomorphic adenoma from adenolymphoma of parotid gland[J]. Radiol Pract, 2020, 35(12): 1525-1531. DOI: 10.13609/j.cnki.1000-0313.2020.12.006.
[16]
WEI P Y, SHAO C, TIAN M, et al. Quantitative analysis and pathological basis of signal intensity on T2-weighted MR images in benign and malignant parotid tumors[J/OL]. Cancer Manag Res, 2021, 13: 5423-5431 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/34262350/. DOI: 10.2147/CMAR.S319466.
[17]
ALIBEK S, ZENK J, BOZZATO A, et al. The value of dynamic MRI studies in parotid tumors[J]. Acad Radiol, 2007, 14(6): 701-710. DOI: 10.1016/j.acra.2007.03.004.
[18]
HUANG N, XIAO Z B, CHEN Y, et al. Quantitative dynamic contrast-enhanced MRI and readout segmentation of long variable echo-trains diffusion-weighted imaging in differentiating parotid gland tumors[J]. Neuroradiology, 2021, 63(10): 1709-1719. DOI: 10.1007/s00234-021-02758-z.
[19]
WEN M M, ZHANG Y, CHENG J L, et al. The value of histogram analysis based on enhanced T1WI among common parotid tumors[J]. J Clin Radiol, 2020, 39(5): 895-899. DOI: 10.13437/j.cnki.jcr.2020.05.011.
[20]
PAN G H, CHEN Y, ZHOU F, et al. The application of DWI and DCE-MRI in differentiating mixed tumor and adenolymphoma of the parotid gland[J]. J Pract Radiol, 2020, 36(7): 1035-1038. DOI: 10.3969/j.issn.1002-1671.2020.07.006.
[21]
MATSUSUE E, FUJIHARA Y, MATSUDA E, et al. Differentiating parotid tumors by quantitative signal intensity evaluation on MR imaging[J/OL]. Clin Imaging, 2017, 46: 37-43 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/28704680/. DOI: 10.1016/j.clinimag.2017.06.009.
[22]
MUNHOZ L, RAMOS E A D A, IM D C, et al. Application of diffusion-weighted magnetic resonance imaging in the diagnosis of salivary gland diseases: a systematic review[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2019, 128(3): 280-310. DOI: 10.1016/j.oooo.2019.02.020.
[23]
KATO H, KAWAGUCHI M, ANDO T, et al. Pleomorphic adenoma of salivary glands: common and uncommon CT and MR imaging features[J]. Jpn J Radiol, 2018, 36(8): 463-471. DOI: 10.1007/s11604-018-0747-y.
[24]
DAI L Y, LOU W H, FANG Q G, et al. Recurrent pleomorphic adenoma of the parotid gland: experience of 128 patients with first recurrence[J/OL]. J Oncol, 2020, 2020: 6645340 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/33424971/. DOI: 10.1155/2020/6645340.
[25]
KATO H, FUJIMOTO K, MATSUO M, et al. Usefulness of diffusion-weighted MR imaging for differentiating between Warthin's tumor and oncocytoma of the parotid gland[J]. Jpn J Radiol, 2017, 35(2): 78-85. DOI: 10.1007/s11604-016-0608-5.
[26]
YABUUCHI H, MATSUO Y, KAMITANI T, et al. Parotid gland tumors: can addition of diffusion-weighted MR imaging to dynamic contrast-enhanced MR imaging improve diagnostic accuracy in characterization?[J]. Radiology, 2008, 249(3): 909-916. DOI: 10.1148/radiol.2493072045.
[27]
WEN B H, ZHANG Z X, FU K, et al. Value of pre-/ post-contrast-enhanced T1 mapping and readout segmentation of long variable echo-train diffusion-weighted imaging in differentiating parotid gland tumors[J/OL]. Eur J Radiol, 2023, 162: 110748 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/36905715/. DOI: 10.1016/j.ejrad.2023.110748.
[28]
TAKUMI K, NAGANO H, KIKUNO H, et al. Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach[J/OL]. Sci Rep, 2021, 11(1): 2780 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/33531644/. DOI: 10.1038/s41598-021-82455-2.
[29]
XIA X W, FENG B, WANG J Z, et al. Deep learning for differentiating benign from malignant parotid lesions on MR images[J/OL]. Front Oncol, 2021, 11: 632104 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/34249680/. DOI: 10.3389/fonc.2021.632104.
[30]
ZHENG Y M, LI J, LIU S, et al. MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland[J]. Eur Radiol, 2021, 31(6): 4042-4052. DOI: 10.1007/s00330-020-07483-4.
[31]
HAN Z Y, YANG B, WANG Q, et al. Comprehensive analysis of the transcriptome-wide m6A methylome in invasive malignant pleomorphic adenoma[J/OL]. Cancer Cell Int, 2021, 21(1): 142 [2021-11-15]. https://pubmed.ncbi.nlm.nih.gov/33653351/. DOI: 10.1186/s12935-021-01839-6.

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