Intratumoral metabolic heterogeneity and other quantitative18f-fdg pet/ct parameters for prognosis prediction in esophageal cancer

Akilan Gopal, Yin Xi, Rathan M. Subramaniam, Daniella F. Pinho

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: To evaluate the impact of intratumoral metabolic heterogeneity (IMH) and other quantitative fluorine 18 (18F) fluorodeoxy-glucose (FDG) PET/CT parameters for predicting progression-free survival (PFS) and overall survival (OS) in patients with esophageal cancer. Materials and Methods: In this retrospective study, an automated gradient-based segmentation method was used to assess the maximum standardized uptake value, mean standardized uptake value, metabolic tumor volume (MTV), and IMH index of the primary tumor in patients with biopsy-proven adenocarcinoma or squamous cell carcinoma of the esophagus with an initial staging18F-FDG PET/CT. Data were collected between July 2006 and February 2016. OS and PFS were calculated using multivariable Cox proportional hazards regression with the adjustment (as covariates) of age, sex, weight, stage, tumor type, tumor grade, and treatment. All PET parameters were standardized before analysis. Log-rank tests were performed, and corresponding Kaplan-Meier survival plots were generated. Results: A total of 71 patients (mean age, 64 years ± 10 [standard deviation], 62:9 men:women) were included. Median follow-up time was 28.2 months (range, 4–38 months), and median survival was 16.1 months (range, 0.1–60.3 months). Higher MTV was associated with reduced PFS for every standard deviation increase (hazard ratio [HR], 0.193; 95% CI: 0.052, 0.711; P = .01). Higher IMH was associated with reduced PFS for every standard deviation decrease in the area under the curve (HR, 10.78; 95% CI: 1.31, 88.96; P = .03). Conclusion: PFS for patients with esophageal cancer was associated with MTV and with IMH.

Original languageEnglish (US)
Article numbere200022
JournalRadiology: Imaging Cancer
Volume3
Issue number1
DOIs
StatePublished - Jan 2021

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Oncology

Fingerprint

Dive into the research topics of 'Intratumoral metabolic heterogeneity and other quantitative18f-fdg pet/ct parameters for prognosis prediction in esophageal cancer'. Together they form a unique fingerprint.

Cite this