Computed Tomography Findings Associated With 30-Day Mortality in Patients With Malignant Superior Vena Cava Syndrome

Shlomit Tamir*, Tal Friehmann, Roy Ratzon, Nir Livneh, Galia Spectre, Eli Atar, Ahuva Grubstien, Pia Raanani, Baruch Brenner, Avi Leader

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Web of Science)

Abstract

Objective The objective of this study was to identify radiological and clinical factors associated with early mortality in malignant superior vena cava syndrome (SVCS). Materials and Methods Chest computed tomography studies of 127 patients with malignancy-associated SVCS were retrospectively reviewed. Involvement of SVC and tributaries, pleural and pericardial effusions, pulmonary artery involvement, and ancillary findings were documented. Univariate and multivariate models determined associations between radiological and clinical variables, and 30-day mortality. Results Thirty-day mortality rate was 16.5% (n = 21). Factors associated with 30-day mortality on univariate analysis included age, cancer stage, SVCS clinical severity, left jugular vein obstruction, number of involved veins, pulmonary arteries involvement, and presence of pleural effusions. Age, SVCS clinical severity, number of veins involved, and pleural effusions were positively associated with 30-day mortality on multivariate analysis. Conclusions Selected clinical and radiological variables are associated with early death in malignant SVCS. These factors may identify a subgroup of patients who may benefit from treatment escalation.

Original languageEnglish
Pages (from-to)912-918
Number of pages7
JournalJournal of Computer Assisted Tomography
Volume43
Issue number6
DOIs
Publication statusPublished - 2019

Keywords

  • superior vena cava syndrome
  • malignancy
  • venous obstruction
  • pleural effusion
  • ACUTE PULMONARY-EMBOLISM
  • SHORT-TERM MORTALITY
  • PLEURAL EFFUSIONS
  • CT DIAGNOSIS
  • OBSTRUCTION
  • PREDICT
  • SYSTEM
  • MANAGEMENT
  • CONTRAST

Cite this