Literature DB >> 30523045

Combination of multimodal imaging features predictive of choroidal nevus transformation into melanoma.

Lauren A Dalvin1,2, Carol L Shields3, David Arturo Ancona-Lezama1, Michael D Yu1, Maura Di Nicola1, Basil K Williams1, J Antonio Lucio-Alvarez1, Su Mae Ang1, Sean M Maloney1, R Joel Welch1, Jerry A Shields1.   

Abstract

AIM: To characterise combinations of multimodal imaging risk factors and predictive value for choroidal nevus transformation into melanoma.
METHODS: This is a retrospective review of multimodal imaging features for 3806 choroidal nevi from 1 January 2007 through 1 January 2017. Kaplan-Meier estimates and Cox regression analyses were used to calculate 5-year percentages of growth to melanoma and HR.
RESULTS: Using multimodal imaging, six risk factors predictive of choroidal nevus transformation into melanoma were identified, namely tumour thickness >2 mm, subretinal fluid, symptoms of visual acuity loss to 20/50 or worse, orange pigment, hollow acoustic density and tumour largest basal diameter >5 mm. Kaplan-Meier 5-year estimated tumour growth was found in 1% of nevi with no risk factors, 11% (range 9%-37%) with one factor, 22% (12%-68%) with two factors, 34% (21%-100%) with three factors, 51% (0%-100%) with four factors and 55% (0%-100%) with five factors. HR for growth was 0.1 with no factor, 2.1-7.8 with one factor, 1.8-12.1 with two factors, 4.0-24.4 with three factors, 4.6-170.0 with four factors and 12.0-595.0 with five factors. The highest HR with each combination of two, three, four or five risk factors always included symptoms of visual acuity loss and orange pigment.
CONCLUSION: Six risk factors for choroidal nevus transformation into melanoma by multimodal imaging have been identified. Risk for transformation into melanoma is 1% when no factors are present, and approaches 100% with specific combinations of three or more risk factors. Understanding how combinations of factors influence risk of transformation into melanoma can guide counselling and treatment decisions. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  choroid; combination; growth; melanoma; multimodal imaging; nevus; risk factors; transformation

Mesh:

Year:  2018        PMID: 30523045     DOI: 10.1136/bjophthalmol-2018-312967

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  8 in total

Review 1.  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

2.  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

3.  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.  The MOLES System for Planning Management of Melanocytic Choroidal Tumors: Is It Safe?

Authors:  Kelsey A Roelofs; Roderick O'Day; Lamis Al Harby; Amit K Arora; Victoria M L Cohen; Mandeep S Sagoo; Bertil Damato
Journal:  Cancers (Basel)       Date:  2020-05-21       Impact factor: 6.639

5.  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 6.  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

Review 7.  Fundus Autofluorescence Imaging in Patients with Choroidal Melanoma.

Authors:  Almut Bindewald-Wittich; Frank G Holz; Thomas Ach; Miltiadis Fiorentzis; Nikolaos E Bechrakis; Gregor D Willerding
Journal:  Cancers (Basel)       Date:  2022-04-02       Impact factor: 6.639

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
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.