Literature DB >> 30883534

CHOROIDAL NEVUS TRANSFORMATION INTO MELANOMA PER MILLIMETER INCREMENT IN THICKNESS USING MULTIMODAL IMAGING IN 2355 CASES: The 2019 Wendell L. Hughes Lecture.

Carol L Shields1, Lauren A Dalvin, Michael D Yu, David Ancona-Lezama, Maura Di Nicola, Basil K Williams, J Antonio Lucio-Alvarez, Su Mae Ang, Sean M Maloney, R Joel Welch, Jerry A Shields.   

Abstract

PURPOSE: To analyze risk of nevus transformation into melanoma per millimeter increment.
METHODS: Retrospective analysis of 3,806 choroidal nevi for transformation into melanoma per incremental millimeter thickness (flat [≤1.0 mm], thin [1.1-2.0 mm], thicker [2.1-3.0 mm], and thickest [>3.0 mm])
RESULTS: : The median nevus thickness was 1.4 mm, and nevi were categorized (flat, thin, thicker, and thickest) in 1,140 (30%), 2052 (54%), 555 (15%), and 59 (<1%), respectively. There were differences in tumor diameter (2.5, 4.8, 7.5, and 9.3 mm; P < 0.01), optical coherence tomography detection of overlying subretinal fluid (<1, 4, 15, and 11%; P < 0.01), overlying retinal edema (<1, 3, 14, and 25%; P < 0.01), overlying drusen (23, 49, 64, and 64%; P < 0.01), overlying retinal pigment epithelial detachment (1, 4, 4, and 9%; P < 0.01), and overlying lipofuscin hyperautofluoresence (<1, 3, 6, and 7%; P < 0.01). Choroidal nevus transformation into melanoma (n = 90/2,355 cases, 3.8%) was found by Kaplan-Meier 7-year estimates (2.2, 6.1, 31.7, and 34.5%; P < 0.0001) and by hazard ratio (HR) compared with nevus ≤1.0 mm (not available, 4.7 [P = 0.01], 35.7 [P < 0.0001], and 52.0 [P < 0.0001]). For all thicknesses, those with growth displayed increase in mean basal diameter of 2.4 mm and thickness of 1.1 mm, optical coherence tomography increase in subretinal fluid (65%), autofluorescence increase in lipofuscin (40%), and ultrasonography increase in hollowness (30%). Multivariable risk factors, recalled by the mnemonic "To Find Small Ocular Melanoma Doing IMaging" (TFSOM-DIM) representing Thickness >2 mm (ultrasonography), Fluid subretinal (optical coherence tomography), Symptom vision loss (Va), Orange pigment (autofluorescence), Melanoma hollow (ultrasonography), and DIaMeter >5 mm, revealed factors per incremental thickness category (compared with flat) including thin (Fluid overlying, HR 6.1; DIaMeter >5 mm, HR 3.3), thicker (Fluid subretinal ≤3 mm from nevus, HR 5.7; Melanoma acoustic hollowness, HR 2.7), and thickest (Orange pigment, HR 9.1).
CONCLUSION: Each incremental increase in choroidal nevus thickness demonstrated risk of growth into melanoma with HR (compared with flat) 4.7 for thin, 35.7 for thicker, and 52.0 for thickest. The increase from ≤2.0 mm to >2.0 mm thickness conferred the greatest rise for transformation.

Entities:  

Year:  2019        PMID: 30883534     DOI: 10.1097/IAE.0000000000002508

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  9 in total

1.  Small Choroidal Melanoma: Correlation of Growth Rate with Pathology.

Authors:  Vishal Raval; Shiming Luo; Emily C Zabor; Arun D Singh
Journal:  Ocul Oncol Pathol       Date:  2021-07-30

2.  Small Choroidal Melanoma: Correlation between Clinical Characteristics and Metastatic Potential.

Authors:  Shiming Luo; Vishal Raval; Emily C Zabor; Arun D Singh
Journal:  Ocul Oncol Pathol       Date:  2021-09-16

3.  A Prediction Model to Discriminate Small Choroidal Melanoma from Choroidal Nevus.

Authors:  Emily C Zabor; Vishal Raval; Shiming Luo; David E Pelayes; Arun D Singh
Journal:  Ocul Oncol Pathol       Date:  2021-12-22

Review 4.  Choroidal biopsies; a review and optimised approach.

Authors:  R N Hussain; B Damato; H Heimann
Journal:  Eye (Lond)       Date:  2022-08-08       Impact factor: 4.456

Review 5.  Imaging of Uveal Melanoma-Current Standard and Methods in Development.

Authors:  Małgorzata Solnik; Natalia Paduszyńska; Anna M Czarnecka; Kamil J Synoradzki; Yacoub A Yousef; Tomasz Chorągiewicz; Robert Rejdak; Mario Damiano Toro; Sandrine Zweifel; Katarzyna Dyndor; Michał Fiedorowicz
Journal:  Cancers (Basel)       Date:  2022-06-27       Impact factor: 6.575

6.  White Paper on Ophthalmic Imaging for Choroidal Nevus Identification and Transformation into Melanoma.

Authors:  Carol L Shields; Sara E Lally; Lauren A Dalvin; Mandeep S Sagoo; Marco Pellegrini; Swathi Kaliki; Ahmet Kaan Gündüz; Minoru Furuta; Prithvi Mruthyunjaya; Adrian T Fung; Jay S Duker; Sara M Selig; Antonio Yaghy; Sandor R Ferenczy; Malvina B Eydelman; Mark S Blumenkranz
Journal:  Transl Vis Sci Technol       Date:  2021-02-05       Impact factor: 3.283

Review 7.  Application of Multimodal and Molecular Imaging Techniques in the Detection of Choroidal Melanomas.

Authors:  Xuying Li; Lixiang Wang; Li Zhang; Fei Tang; Xin Wei
Journal:  Front Oncol       Date:  2021-02-01       Impact factor: 6.244

8.  Circulating tumor DNA tracking through driver mutations as a liquid biopsy-based biomarker for uveal melanoma.

Authors:  Prisca Bustamante; Thupten Tsering; Jacqueline Coblentz; Christina Mastromonaco; Mohamed Abdouh; Cristina Fonseca; Rita P Proença; Nadya Blanchard; Claude Laure Dugé; Rafaella Atherino Schmidt Andujar; Emma Youhnovska; Miguel N Burnier; Sonia A Callejo; Julia V Burnier
Journal:  J Exp Clin Cancer Res       Date:  2021-06-16

9.  Long non-coding RNA terminal differentiation-induced non-coding RNA regulates cisplatin resistance of choroidal melanoma by positively modulating extracellular signal-regulated kinase 2 via sponging microRNA-19b-3p.

Authors:  Wei Li; Aiqin Nie; Longyu Jin; Yubo Cui; Ning Xie; Gaohua Liang
Journal:  Bioengineered       Date:  2022-02       Impact factor: 3.269

  9 in total

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