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Pre-operative radiological and radiomic features predicting Carcinoma Ex Pleomorphic Adenoma: Systematic review

Published online by Cambridge University Press:  29 October 2024

Seraphina Key*
Affiliation:
Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia
Zubair Hasan
Affiliation:
Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia Department of Otolaryngology – Head and Neck Surgery, John Hunter Hospital, Sydney, NSW, Australia
Michael Lee
Affiliation:
Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia
Raghav C. Dwivedi
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, University College London Hospitals NHS Foundation Trust, London, UK Division of Surgery and Interventional Science – University College London, London, UK
Faruque Riffat
Affiliation:
Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia Department of Otolaryngology - Head and Neck Surgery, Westmead Hospital, Westmead, NSW, Australia
Purnima Sundaresan
Affiliation:
Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia Department of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Westmead, NSW, Australia
*
Corresponding author: Seraphina Key; Email: seraphinakey@gmail.com
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Abstract

Objectives

Carcinoma ex pleomorphic adenoma is a rare malignant salivary gland tumour for which distinct radiological features are unclear. We aim to identify radiological features that may pre-operatively predict for carcinoma ex pleomorphic adenoma and its degree of invasion.

Methods

Systematic review of Ovid Medline, Embase, Scopus, Web of Science (BIOSIS), Cochrane, PROSPERO, OpenDOAR, and OpenGrey from inception to 29 April 2023. Primary outcomes of interest were radiological features in magnetic resonance imaging, computed tomography and ultrasound.

Results

Of 1729 studies, 12 studies (n = 426) underwent qualitative synthesis. Imaging findings for magnetic resonance imaging, computed tomography, and ultrasound were reported in 11 studies (n = 337), five studies (n = 253) and one study (n = 89), respectively. Magnetic resonance imaging features of lower mean apparent diffusion coefficient values and heterogenous T2 intensity were reported.

Conclusion

Magnetic resonance imaging has the greatest utility in predicting for carcinoma ex pleomorphic adenoma. Within the limits, a heterogenous body of evidence, in addition to general radiologic features of malignancy, lower mean apparent diffusion coefficient values and heterogenous T2 intensity, may indicate carcinoma ex pleomorphic adenoma.

Information

Type
Review Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED.
Figure 0

Figure 1. PRISMA flow chart for included and excluded studies. CXPA = carcinoma ex pleomorphic adenoma.

Figure 1

Table 1. Study characteristics; CEBM = Centre for Evidence-based Medicine;14 CT = computed tomography; CXPA = carcinoma ex pleomorphic adenoma; MRI = magnetic resonance imaging; QUIPS = Quality in Prognostic Studies;13 SLG = sublingual; SMG = submandibular gland; N/A = not applicable

Figure 2

Figure 2. Graphical depiction of major MRI findings; FS-T1 = fat-suppressed T1; FS-T2 = fat-suppressed T2.

Figure 3

Table 2. MRI features of carcinoma ex pleomorphic adenoma; ADC = apparent diffusion coefficient; CE-FS-T1W1 = contrast-enhanced, fat-suppressed T1-weighted imaging; CT = computed tomography; CXPA = Carcinoma ex pleomorphic adenoma; DWI = diffusion-weighted imaging; FS-T1W1 = fat-suppressed T1-weighted imaging; FS-T2W1 = fat-suppressed T2-weighted imaging; PA = pleomorphic adenoma; STIR = short tau inversion recovery; TIC = time-intensity curve

Figure 4

Table 3. CT features of carcinoma ex pleomorphic adenoma (CXPA); PA = pleomorphic adenoma; PNI = perineural invasion

Figure 5

Figure 3. Risk-of-bias assessment performed with the Quality in Prognostic Studies tool,13 and graphed with the robvis tool.22 Studies shown are identified by lead author.

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