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Volumetric Histogram Analysis of Apparent Diffusion Coefficient as a Biomarker to Predict Survival of Esophageal Cancer Patients
Background The purpose of this study was to investigate whether histogram analysis of an apparent diffusion coefficient (ADC) can serve as a prognostic biomarker for esophageal squamous cell carcinoma (ESCC). Methods This retrospective study enrolled 116 patients with ESCC who received curative surg...
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Published in: | Annals of surgical oncology 2020-08, Vol.27 (8), p.3083-3089 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
The purpose of this study was to investigate whether histogram analysis of an apparent diffusion coefficient (ADC) can serve as a prognostic biomarker for esophageal squamous cell carcinoma (ESCC).
Methods
This retrospective study enrolled 116 patients with ESCC who received curative surgery from 2006 to 2015 (including 70 patients who received neoadjuvant chemotherapy). Diffusion-weighted magnetic resonance imaging (DWI) was performed prior to treatment. The ADC maps were generated by DWIs at
b
= 0 and 1000 (s/mm
2
), and analyzed to obtain ADC histogram-derived parameters (mean ADC, kurtosis, and skewness) of the primary tumor. Associations of these parameters with pathological features were analyzed, and Cox regression and Kaplan–Meier analyses were performed to compare these parameters with recurrence-free survival (RFS) and disease-specific survival (DSS).
Results
Kurtosis was significantly higher in tumors with lymphatic invasion (
p
= 0.005) with respect to the associations with pathological features. In univariate Cox regression analysis, tumor depth, lymph node status, mean ADC, and kurtosis were significantly correlated with RFS (
p
= 0.047,
p
|
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ISSN: | 1068-9265 1534-4681 |
DOI: | 10.1245/s10434-020-08270-7 |