Literature DB >> 23787920

Autofluorescence quantification of benign and malignant choroidal nevomelanocytic tumors.

Daniel L Albertus1, Ira H Schachar, Sarwar Zahid, Victor M Elner, Hakan Demirci, Thiran Jayasundera.   

Abstract

IMPORTANCE: Accurate diagnosis of choroidal melanoma is challenging and has important implications for both physicians and patients. We assessed the utility of quantification of fundus autofluorescence in the evaluation and follow-up of choroidal nevomelanocytic tumors.
OBJECTIVE: To assess the utility of autofluorescence quantification in distinguishing clinically diagnosed choroidal nevi, melanoma, and indeterminate nevomelanocytic lesions. DESIGN, SETTING, AND PARTICIPANTS: A retrospective observational study from 2006 to 2012 of patients with choroidal nevomelanocytic lesions who had digital autofluorescence and color fundus imaging performed at the University of Michigan Kellogg Eye Center. INTERVENTION: ImageJ software was used to output autofluorescence gray-scale values for each pixel of a 500 × 50-pixel region within each lesion and a corresponding adjacent control region. MAIN OUTCOME AND MEASURE: A single value was generated, termed the Index of Retinal Autofluorescence (IRA), to represent the total difference in gray-scale values between the 2 regions in each affected eye.
RESULTS: Thirteen of the 14 clinically diagnosed nevi exhibited an IRA less than 150 gray-scale intensity squared (gsi2). Eight of 9 clinically diagnosed melanomas exhibited an IRA more than 150 gsi2. An IRA of 150 gsi2 distinguished nevi from melanomas with a sensitivity of 0.89 and specificity of 0.93. Fifteen of 19 patients with indeterminate nevomelanocytic lesions underwent clinical assessment and initial imaging with clinical follow-up at a median of 10 months. All 3 patients with an IRA less than 150 gsi2 showed no evidence of clinical progression and 6 of 12 lesions with an IRA more than 150 gsi2 showed clinical progression to melanoma. An IRA of 150 gsi2 identifies indeterminate lesions that progressed to melanoma with a sensitivity of 1.00 and specificity of 0.33. CONCLUSIONS AND RELEVANCE: Quantification of digital autofluorescence images can differentiate between clinically benign and malignant choroidal nevomelanocytic lesions and may be predictive for clinical progression of indeterminate lesions.

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Mesh:

Year:  2013        PMID: 23787920     DOI: 10.1001/jamaophthalmol.2013.4007

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  4 in total

1.  Quantitative Autofluorescence Imaging of A375 Human Melanoma Cell Samples: A Pilot Study.

Authors:  Afshan Shirkavand; Ezeddin Mohajerani; Shirin Farivar; Leila Ataie-Fashtami; Mohammad Hossein Ghazimoradi
Journal:  J Lasers Med Sci       Date:  2021-02-14

2.  Infrared autofluorescence, short-wave autofluorescence and spectral-domain optical coherence tomography of optic disk melanocytomas.

Authors:  Peng Zhang; Yan-Nian Hui; Wen-Qin Xu; Zi-Feng Zhang; Hai-Yan Wang; Dong-Jie Sun; Yu-Sheng Wang
Journal:  Int J Ophthalmol       Date:  2016-05-18       Impact factor: 1.779

Review 3.  Clinical application of ultra-widefield fundus autofluorescence.

Authors:  Amin Xu; Changzheng Chen
Journal:  Int Ophthalmol       Date:  2020-10-11       Impact factor: 2.031

4.  Distinguishing Choroidal Nevi from Melanomas Using the MOLES Algorithm: Evaluation in an Ocular Nevus Clinic.

Authors:  Lamis Al Harby; Mandeep S Sagoo; Roderick O'Day; Gordon Hay; Amit K Arora; Pearse A Keane; Victoria M-L Cohen; Bertil Damato
Journal:  Ocul Oncol Pathol       Date:  2021-03-15
  4 in total

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