Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/121042
Title: Photon-counting computed tomography in esophageal cancer : correlation of iodine concentration with histopathology and treatment response to neoadjuvant radiochemotherapy
Author(s): Haag, Nina Paule
Bodin, Pascal
Kröger, Jan RobertLook up in the Integrated Authority File of the German National Library
Niehoff, Julius HenningLook up in the Integrated Authority File of the German National Library
Saeed, SaherLook up in the Integrated Authority File of the German National Library
Gerdes, BertholdLook up in the Integrated Authority File of the German National Library
Danebrock, Raihanatou InaLook up in the Integrated Authority File of the German National Library
Fetzner, Ulrich KlausLook up in the Integrated Authority File of the German National Library
Borggrefe, JanLook up in the Integrated Authority File of the German National Library
Wienke, AndreasLook up in the Integrated Authority File of the German National Library
Surov, AlexeyLook up in the Integrated Authority File of the German National Library
Issue Date: 2025
Type: Article
Language: English
Abstract: Objectives Evaluating esophageal cancer (EC) response to neoadjuvant radiochemotherapy (NARC) has been challenging, but photon-counting CT (PCCT) provides multiparametric data, including iodine concentration (IC), which can be utilized for evaluation. This study explored the relationship between IC and histopathological features of EC, assessing its role in predicting NARC responses. Materials and methods Of 105 patients with EC, 85 (67 men; mean age 66.0 ± 11.0 years) met the inclusion criteria and underwent PCCT scans during the portal venous phase. Normalized iodine concentration (NIC) was calculated, and tumor characteristics, including stage, grade, and lymphovascular invasion, were analyzed. Statistical analyses included Mann–Whitney U tests, sensitivity, specificity, and area under the curve (AUC) calculations. Interobserver reliability of NIC measurements was assessed. Results Interobserver reliability for NIC was excellent (ICC = 0.99 for all tumors, p < 0.01). In adenocarcinoma, NIC was lower in good therapy responders (Becker 1a/1b: 0.40 ± 0.13) than poor responders (Becker 2/3: 0.51 ± 0.12, p = 0.01). An NIC cutoff ≤ 0.41 predicted good regression (OR = 4.77, p = 0.03; AUC = 0.704, sensitivity = 72.2%, specificity 64.7%). Poor response prediction showed moderate accuracy (AUC = 0.662). Conclusion NIC values show excellent interobserver agreement and can predict treatment response to NARC in EC, particularly for adenocarcinomas, where lower NIC values are linked to better outcomes. While NIC provides good predictive value, further studies with larger sample sizes are needed to confirm these findings and explore additional factors influencing outcomes.
URI: https://opendata.uni-halle.de//handle/1981185920/122997
http://dx.doi.org/10.25673/121042
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: European radiology
Publisher: Springer
Publisher Place: Berlin
Volume: 35
Original Publication: 10.1007/s00330-025-11683-1
Page Start: 6928
Page End: 6935
Appears in Collections:Open Access Publikationen der MLU

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