Sensitivity and Specificity of Different Prognostic Systems in Guiding Surveillance for Metastases in Uveal Melanoma

Author:

Robinson Helena1,Eleuteri Antonio2ORCID,Sacco Joseph J.3,Hussain Rumana34,Heimann Heinrich34,Taktak Azzam F. G.5,Damato Bertil6,Thompson Alexander J.7,Allen Thomas7ORCID,Kalirai Helen3,Coupland Sarah E.3ORCID

Affiliation:

1. Department of Clinical Engineering, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8YE, UK

2. NHS Digital, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8YE, UK

3. Liverpool Ocular Oncology Research Group, Department of Molecular and Cancer Medicine, University of Liverpool, Liverpool L7 8TX, UK

4. Liverpool Ocular Oncology Centre, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8TX, UK

5. Department of Clinical Engineering, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol BS2 8HW, UK

6. Consultant Ocular Oncologist, St Erik’s Eye Hospital & Karolinska Institutet, 171 64 Stockholm, Sweden

7. Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester M13 9PL, UK

Abstract

Uveal melanoma (UM) metastasises in ~50% of patients, most frequently to the liver. Surveillance imaging can provide early detection of hepatic metastases; however, guidance regarding UM patient risk stratification for surveillance is unclear. This study compared sensitivity and specificity of four current prognostic systems, when used for risk stratification for surveillance, on patients treated at the Liverpool Ocular Oncology Centre (LOOC) between 2007–2016 (n = 1047). It found that the Liverpool Uveal Melanoma Prognosticator Online III (LUMPOIII) or Liverpool Parsimonious Model (LPM) offered greater specificity at equal levels of sensitivity than the American Joint Committee on Cancer (AJCC) system or monosomy 3 alone, and suggests guidance to achieve 95% sensitivity and 51% specificity (i.e., how to detect the same number of patients with metastases, while reducing the number of negative scans). For example, 180 scans could be safely avoided over 5 years in 200 patients using the most specific approach. LUMPOIII also offered high sensitivity and improved specificity over the AJCC in the absence of genetic information, making the result relevant to centres that do not perform genetic testing, or where such testing is inappropriate or fails. This study provides valuable information for clinical guidelines for risk stratification for surveillance in UM.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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