Volumetric histogram analysis of apparent diffusion coefficient for predicting pathological complete response and survival in esophageal cancer patients treated with chemoradiotherapy.
Apparent diffusion coefficient
Chemoradiation therapy
Diffusion weighted imaging
Esophageal cancer
Histogram analysis
Journal
American journal of surgery
ISSN: 1879-1883
Titre abrégé: Am J Surg
Pays: United States
ID NLM: 0370473
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
01
03
2019
revised:
23
07
2019
accepted:
27
07
2019
pubmed:
8
8
2019
medline:
3
7
2020
entrez:
8
8
2019
Statut:
ppublish
Résumé
The purpose of the study was to evaluate whether histogram analysis of apparent diffusion coefficient (ADC) can predict pathological complete response (pCR) and survival in patients with esophageal squamous cell carcinoma (ESCC) after chemoradiotherapy (CRT). We retrospectively identified 58 patients with ESCC who underwent surgery after CRT between 2007 and 2016. Associations of pretreatment histogram derived ADC parameters with pathological response and survival were analyzed. Tumors achieved pCR (10 patients, 17.2%) showed significant lower ADC, higher kurtosis, and higher skewness than those of non-pCR (p = 0.005, 0.007, <0.001, respectively). Receiver operating characteristics analysis demonstrated skewness was the best predictor for pCR (AUC = 0.86), with a cut off value of 0.50 (accuracy, 86.2%). In Kaplan-Meier analysis, patients with higher skewness tumors (≥0.50) showed a significantly better recurrence free survival (p = 0.032, log-rank). Histogram analysis of ADC can enable prediction of pCR and survival in ESCC patients treated with preoperative CRT. ADC histogram analysis can be an imaging biomarker for esophageal cancer patients treated with CRT.
Sections du résumé
BACKGROUND
The purpose of the study was to evaluate whether histogram analysis of apparent diffusion coefficient (ADC) can predict pathological complete response (pCR) and survival in patients with esophageal squamous cell carcinoma (ESCC) after chemoradiotherapy (CRT).
METHODS
We retrospectively identified 58 patients with ESCC who underwent surgery after CRT between 2007 and 2016. Associations of pretreatment histogram derived ADC parameters with pathological response and survival were analyzed.
RESULTS
Tumors achieved pCR (10 patients, 17.2%) showed significant lower ADC, higher kurtosis, and higher skewness than those of non-pCR (p = 0.005, 0.007, <0.001, respectively). Receiver operating characteristics analysis demonstrated skewness was the best predictor for pCR (AUC = 0.86), with a cut off value of 0.50 (accuracy, 86.2%). In Kaplan-Meier analysis, patients with higher skewness tumors (≥0.50) showed a significantly better recurrence free survival (p = 0.032, log-rank).
CONCLUSIONS
Histogram analysis of ADC can enable prediction of pCR and survival in ESCC patients treated with preoperative CRT.
A SHORT SUMMARY
ADC histogram analysis can be an imaging biomarker for esophageal cancer patients treated with CRT.
Identifiants
pubmed: 31387687
pii: S0002-9610(19)30265-X
doi: 10.1016/j.amjsurg.2019.07.040
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1024-1029Informations de copyright
Copyright © 2019. Published by Elsevier Inc.