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Quantitative Diffusion-Weighted MR Imaging: Is There a Prognostic Role in Noninvasively Predicting the Histopathologic Type of Uveal Melanomas?

Authors :
Foti PV
Inì C
Broggi G
Farina R
Palmucci S
Spatola C
Lo Greco MC
David E
Caltabiano R
Puzzo L
Russo A
Longo A
Avitabile T
Basile A
Source :
Cancers [Cancers (Basel)] 2023 Nov 29; Vol. 15 (23). Date of Electronic Publication: 2023 Nov 29.
Publication Year :
2023

Abstract

Histopathologically, uveal melanomas (UMs) can be classified as spindle cell, mixed cell and epithelioid cell type, with the latter having a more severe prognosis. The aim of our study was to assess the correlation between the apparent diffusion coefficient (ADC) and the histologic type of UMs in order to verify the role of diffusion-weighted magnetic resonance imaging (DWI) as a noninvasive prognostic marker. A total of 26 patients with UMs who had undergone MRI and subsequent primary enucleation were retrospectively selected. The ADC of the tumor was compared with the histologic type. The data were compared using both one-way analysis of variance (ANOVA) (assessing the three histologic types separately) and the independent t -test (dichotomizing histologic subtypes as epithelioid versus non-epithelioid). Histologic type was present as follows: the epithelioid cell was n = 4, and the spindle cell was n = 11, the mixed cell type was n = 11. The mean ADC was 1.06 ± 0.24 × 10 <superscript>-3</superscript> mm <superscript>2</superscript> /s in the epithelioid cells, 0.98 ± 0.19 × 10 <superscript>-3</superscript> mm <superscript>2</superscript> /s in the spindle cells and 0.96 ± 0.26 × 10 <superscript>-3</superscript> mm <superscript>2</superscript> /s in the mixed cell type. No significant difference in the mean ADC value of the histopathologic subtypes was found, either when assessing the three histologic types separately ( p = 0.76) or after dichotomizing the histologic subtypes as epithelioid and non-epithelioid ( p = 0.82). DWI-ADC is not accurate enough to distinguish histologic types of UMs.

Details

Language :
English
ISSN :
2072-6694
Volume :
15
Issue :
23
Database :
MEDLINE
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
38067331
Full Text :
https://doi.org/10.3390/cancers15235627