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Discriminating between benign and malignant salivary gland tumors using diffusion-weighted imaging and intravoxel incoherent motion at 3 Tesla - 01/02/23

Doi : 10.1016/j.diii.2022.08.003 
Rongli Zhang a, Ann D. King a, , Lun M. Wong a, Kunwar S. Bhatia b, Sahrish Qamar a, Frankie K.F. Mo c, Alexander C. Vlantis d, Qi Yong H. Ai a, e
a Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China 
b Department of Imaging, St Mary's Hospital, Imperial College Healthcare, National Health Service Trust, London, UK 
c Department of Clinical Oncology, State Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Hong Kong Cancer Institute, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China 
d Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China 
e Department of Health Technology and Informatics, The Polytechnic University of Hong Kong, Hung Hom, Hong Kong SAR, China 

Corresponding author.

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Highlights

Diffusion-weighted MRI is of value for the diagnosis of pleomorphic adenoma, which is the most common type of salivary gland tumor.
Intravoxel incoherent motion has better accuracy than diffusion-weighted MRI for discriminating between benign from malignant salivary gland tumors.
High ADCmean or Dmean values and high D*mean values show best performances for pleomorphic adenoma and Warthin's tumor characterization, respectively.
Clinically useful parameter thresholds can be obtained by maximizing specificity for pleomorphic adenoma and Warthin's tumor.

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Abstract

Purpose

The purpose of this study was to retrospectively evaluate the diagnostic performances of diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) for discriminating between benign and malignant salivary gland tumors (SGTs).

Materials and methods

Sixty-seven patients with 71 SGTs who underwent MRI examination at 3 Tesla were included. There were 34 men and 37 women with a mean age of 57 ± 17 (SD) years (age range: 20–90 years). SGTs included 21 malignant tumors (MTs) and 50 benign SGTs (33 pleomorphic adenomas [PAs] and 17 Warthin's tumors [WTs]). For each SGT, DWI and IVIM parameters, mean, skewness, and kurtosis of apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion volume fraction (f) were calculated and further compared between SGTs using univariable analysis. Areas under the curves (AUC) of receiver operating characteristic of significant parameters were compared using the Delong test.

Results

Significant differences in ADCmean, Dmean and D*mean were found between SGTs (P < 0.001). The highest AUC values were obtained for ADCmean (0.949) for identifying PAs and D*mean (0.985) for identifying WTs and skewness and kurtosis did not outperform mean. To discriminate benign from malignant SGTs with thresholds set to maximize Youden index, IVIM and DWI produced accuracies of 85.9% (61/71; 95% CI: 75.6–93.0) and 77.5% (55/71; 95% CI: 66.0–86.5) but misdiagnosed MTs as benign in 28.6% (6/21) and 61.9% (13/21) of SGTs, respectively. After maximizing specificity to 100% for benign SGTs, the accuracies of IVIM and DWI decreased to 76.1% (54/71; 95% CI: 64.5–85.4) and 64.8% (46/71; 95% CI: 52.5–75.8) but no MTs were misdiagnosed as benign. IVIM and DWI correctly diagnosed 66.0% (33/50) and 50.0% (25/50) of benign SGTs and 46.5% (33/71) and 35.2% (25/71) of all SGTs, respectively.

Conclusion

IVIM is more accurate than DWI for discriminating between benign and malignant SGTs because of its advantage in detecting WTs. Thresholds set by maximizing specificity for benign SGTs may be advantageous in a clinical setting.

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Keywords : Diffusion-weighted magnetic resonance imaging, Histogram analysis, Head and neck, Intravoxel incoherent motion, Salivary gland neoplasms

Abbreviations : ADC, AUC, CT, CI, D, D*, DWI, f, FP, FN, ICC, IVIM, IQR, MRI, MT, PA, SGT, SD, TP, TN, WT


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© 2022  Société française de radiologie. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 104 - N° 2

P. 67-75 - février 2023 Retour au numéro
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