Correlation Analysis of Apparent Diffusion Coefficient Histogram Parameters and Clinicopathologic Features for Prognosis Prediction in Uveal Melanoma.
Invest Ophthalmol Vis Sci
; 65(8): 3, 2024 Jul 01.
Article
in En
| MEDLINE
| ID: mdl-38953846
ABSTRACT
Purpose:
To investigate the correlation between apparent diffusion coefficient (ADC) histograms and high-risk clinicopathologic features related to uveal melanoma (UM) prognosis.Methods:
This retrospective study included 53 patients with UM who underwent diffusion-weighted imaging (DWI) between August 2015 and March 2024. Axial DWI was performed with a single-shot spin-echo echo-planar imaging sequence. ADC histogram parameters of ADCmean, ADC50%, interquartile range (IQR), skewness, kurtosis, and entropy were obtained from DWI. The relationships between histogram parameters and high-risk clinicopathological characteristics including tumor size, preoperative retinal detachment, histological subtypes, Ki-67 index, and chromosome status, were analyzed by Spearman correlation analysis, Mann-Whitney U test, or Kruskal-Wallis test.Results:
A total of 53 patients (mean ± SD age, 55 ± 15 years; 22 men) were evaluated. The largest basal diameter (LBD) was correlated with kurtosis (r = 0.311, P = 0.024). Tumor prominence (TP) was correlated with entropy (r = 0.581, P < 0.001) and kurtosis (r = 0.273, P = 0.048). Additionally, significant correlations were identified between the Ki-67 index and ADCmean (r = -0.444, P = 0.005), ADC50% (r = -0.487, P = 0.002), and skewness (r = 0.394, P = 0.014). Finally, entropy was correlated with monosomy 3 (r = 0.541, P = 0.017).Conclusions:
The ADC histograms provided valuable insights into high-risk clinicopathologic features of UM and hold promise in the early prediction of UM prognosis.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Uveal Neoplasms
/
Diffusion Magnetic Resonance Imaging
/
Melanoma
Limits:
Adult
/
Aged
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Female
/
Humans
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Male
/
Middle aged
Language:
En
Journal:
Invest Ophthalmol Vis Sci
/
Investig. ophthalmol. vis. sci. (Online)
/
Investigative ophthalmology & visual science (Online)
Year:
2024
Document type:
Article
Affiliation country:
China
Country of publication:
Estados Unidos