Literature DB >> 31559246

Diagnostic A-Scan of Choroidal Melanoma: Automated Quantification of Parameters.

Yombe Fonkeu1, Nakul Singh1, Brandy Hayden-Loreck1, Arun D Singh1.   

Abstract

AIM: To develop an automated algorithm to quantify ultrasonographic A-scan parameters of choroidal melanoma.
METHODS: The study included 100 consecutive patients with a clinical diagnosis of choroidal melanoma. Ultrasonographic A-scans (8 MHz, 1,550 m/s, tissue sensitivity = 67 dB) were performed by standard techniques. We created and then utilized a MATLAB® script to generate four quantifiable A-scan parameters: (1) tumor height (mm), (2) the number of internal reflectivity peaks (numerical value), (3) median internal reflectivity (%), and (4) angle κ (°).
RESULTS: There were small (≤2.5 mm, n = 32), medium (2.6-10.0 mm, n = 53), and large (> 10.0 mm, n = 14) tumors. The mean number of internal reflectivity peaks counted between the two tumor boundary spikes (surface and base) was 10.0 (σ = 8.7, range 1-37). The median value of the internal reflectivity peaks for all cases varied from 19.8 to 99.5 (mean = 68.3, σ = 20.5). A statistically significant correlation was observed between the tumor height categories and each of the three A-scan parameters: the number of internal reflectivity peaks (ρ = 0.90, p < 0.01), median internal reflectivity (ρ = -0.63, p < 0.01), and a positive angle κ (ρ = -0.32, p = 0.03).
CONCLUSIONS: An automated algorithm can provide quantifiable A-scan parameters for choroidal melanoma.

Entities:  

Keywords:  Choroidal tumors; Diagnostic A-scan; Melanoma; Ultrasonography

Year:  2019        PMID: 31559246      PMCID: PMC6751448          DOI: 10.1159/000496345

Source DB:  PubMed          Journal:  Ocul Oncol Pathol        ISSN: 2296-4657


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1.  What's in a Name? Large Choroidal Nevus, Small Choroidal Melanoma, or Indeterminate Melanocytic Tumor.

Authors:  Arun D Singh; Hans E Grossniklaus
Journal:  Ocul Oncol Pathol       Date:  2021-06-07
  1 in total

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