Does the computed tomography perfusion imaging improve the diagnostic accuracy in the response evaluation of esophageal carcinoma to the neoadjuvant chemoradiotherapy? Preliminary study
- PMID: 24659670
Does the computed tomography perfusion imaging improve the diagnostic accuracy in the response evaluation of esophageal carcinoma to the neoadjuvant chemoradiotherapy? Preliminary study
Abstract
Purpose: To estimate whether the computed tomography (CT) perfusion imaging could be useful to predict the pathological complete response (pCR) of esophageal cancer to the neoadjuvant chemoradiotherapy (NACRT).
Methods: Twenty-seven patients with the advanced squamous cell esophageal carcinoma, who were treated with concomitant CRT (CIS/5-FU/LV and 45-50 Gy total radiation dose), were re-evaluated using CT examination, which included the low-dose CT perfusion study. CT perfusion series were analysed using the deconvolution-based CT perfusion software (Perfusion 3.0, GE), and color parametric maps of the blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface area product (PS) were displayed. All patients were operated and histopathological analysis of the resected esophagus considered the gold standard for pathologic complete response (pCR).
Results: BFpost-NACRT, BVpost-NACRT, and PSpost-NACRT were significantly lower, and MTTpost-NACRT significantly higher in the pCR group. Mean (±SD), or median perfusion parameter values in the pCRs (11 patients) vs non-pCRs (16 patients) were: BFpost-NACRT- 21.4±5.0 vs 86.0±29 ml/min/100 g (p<0.001), BVpost-NACRT- 1.3 vs 3.9 ml/100 g (p<0.001), MTTpost-NACRT- 5.5 vs 3.7 s (p=0.018), and PSpost-NACRT- 5.9 vs 9.8 ml/min/100 g (p=0.006). ROC analysis revealed that BFpost- NACRT (AUC=1.000), BVpost-NACRT (AUC=0.932), MTTpost-NACRT (AUC=0.801), and PSpost-NACRT (AUC=0.844) could predict the pCR (p<0.01), while maximal esophageal wall thickness could not (AUC=0.676, p=0.126). If we set a cut-off value of BFpost-NACRT<30.0 ml/min/100 g, pCR was predicted with sensitivity and specificity of 100%.
Conclusion: CT perfusion imaging enables accurate prediction of pCR of esophageal carcinoma to neoadjuvant chemoradiotherapy.
Similar articles
-
Absolute CT perfusion parameter values after the neoadjuvant chemoradiotherapy of the squamous cell esophageal carcinoma correlate with the histopathologic tumor regression grade.Eur J Radiol. 2015 Dec;84(12):2477-84. doi: 10.1016/j.ejrad.2015.09.025. Epub 2015 Oct 1. Eur J Radiol. 2015. PMID: 26467704
-
Perfusion computed tomography in predicting treatment response of advanced esophageal squamous cell carcinomas.Asian Pac J Cancer Prev. 2015;16(2):797-802. doi: 10.7314/apjcp.2015.16.2.797. Asian Pac J Cancer Prev. 2015. PMID: 25684528
-
Pre-treatment maximal oesophageal wall thickness is independently associated with response to chemoradiotherapy in patients with T3-4 oesophageal squamous cell carcinoma.Eur J Cardiothorac Surg. 2012 Dec;42(6):958-64. doi: 10.1093/ejcts/ezs136. Epub 2012 Mar 30. Eur J Cardiothorac Surg. 2012. PMID: 22466694
-
Utility of PET, CT, and EUS to identify pathologic responders in esophageal cancer.Ann Thorac Surg. 2004 Oct;78(4):1152-60; discussion 1152-60. doi: 10.1016/j.athoracsur.2004.04.046. Ann Thorac Surg. 2004. PMID: 15464463 Review.
-
Current status of and perspectives regarding neoadjuvant chemoradiotherapy for locally advanced esophageal squamous cell carcinoma.Surg Today. 2016 Mar;46(3):261-7. doi: 10.1007/s00595-015-1144-0. Epub 2015 Mar 5. Surg Today. 2016. PMID: 25740123 Review.
Cited by
-
Radiotherapy for esophageal carcinoma: dose, response and survival.Cancer Manag Res. 2017 Dec 29;10:13-21. doi: 10.2147/CMAR.S144687. eCollection 2018. Cancer Manag Res. 2017. PMID: 29343986 Free PMC article. Review.
-
Total Lesion Glycolysis Ratio in Positron Emission Tomography/Computed Tomography Images During Neoadjuvant Chemotherapy Can Predict Pathological Tumor Regression Grade and Prognosis in Patients with Locally Advanced Squamous Cell Carcinoma of the Esophagus.Ann Surg Oncol. 2021 Jan;28(1):167-174. doi: 10.1245/s10434-020-08738-6. Epub 2020 Jun 25. Ann Surg Oncol. 2021. PMID: 32588261
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous