Primary tumor volume as a predictor of distant metastases and survival in patients with sinonasal mucosal melanoma Journal Article


Authors: Flukes, S.; Lohia, S.; Barker, C. A.; Cracchiolo, J. R.; Ganly, I.; Patel, S. G.; Roman, B. R.; Shah, J. P.; Shoushtari, A. N.; Tabar, V.; Shah, A.; Cohen, M. A.
Article Title: Primary tumor volume as a predictor of distant metastases and survival in patients with sinonasal mucosal melanoma
Abstract: Background: Sinonasal mucosal melanoma (SNMM) is an aggressive cancer with high mortality. Identifying patients at risk of distant metastasis assists with management and prognostication. We aimed to define the relationship between volume, survival, and risk of distant metastases. Methods: A retrospective review of all patients with SNMM treated at a single institution over a 21-year period was conducted. Tumor volume was calculated using cross-sectional imaging and survival analysis was performed. Results: Sixty-one patients were included. Tumor volume was predictive of local progression-free survival (P =.03), distant metastases-free survival (DMFS) (P =.002), and overall survival (OS) (P =.02). It was a better predictor than AJCC stage and T-classification. Tumor volume equal to or greater than 5 cm3 was associated with a significantly worse DMFS and OS (P =.02 and.009, respectively). Conclusion: Calculation of tumor volume assists in quantifying the risk of distant metastases and death in SNMM. © 2020 Wiley Periodicals LLC
Keywords: survival; tumor volume; sinonasal; mucosal melanoma; staging systems
Journal Title: Head & Neck
Volume: 42
Issue: 11
ISSN: 1043-3074
Publisher: John Wiley & Sons, Inc.  
Date Published: 2020-11-01
Start Page: 3316
End Page: 3325
Language: English
DOI: 10.1002/hed.26380
PUBMED: 32737953
PROVIDER: scopus
PMCID: PMC7722123
DOI/URL:
Notes: Article -- Export Date: 2 November 2020 -- Source: Scopus
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MSK Authors
  1. Snehal G Patel
    412 Patel
  2. Viviane S Tabar
    225 Tabar
  3. Christopher Barker
    218 Barker
  4. Akash Deelip Shah
    20 Shah
  5. Ian Ganly
    431 Ganly
  6. Jatin P Shah
    722 Shah
  7. Benjamin Raphael Roman
    75 Roman
  8. Marc A Cohen
    137 Cohen
  9. Shivangi Lohia
    15 Lohia
  10. Stephanie Flukes
    10 Flukes