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Titel: Photon-counting computed tomography in esophageal cancer : correlation of iodine concentration with histopathology and treatment response to neoadjuvant radiochemotherapy
Autor(en): Haag, Nina Paule
Bodin, Pascal
Kröger, Jan RobertIn der Gemeinsamen Normdatei der DNB nachschlagen
Niehoff, Julius HenningIn der Gemeinsamen Normdatei der DNB nachschlagen
Saeed, SaherIn der Gemeinsamen Normdatei der DNB nachschlagen
Gerdes, BertholdIn der Gemeinsamen Normdatei der DNB nachschlagen
Danebrock, Raihanatou InaIn der Gemeinsamen Normdatei der DNB nachschlagen
Fetzner, Ulrich KlausIn der Gemeinsamen Normdatei der DNB nachschlagen
Borggrefe, JanIn der Gemeinsamen Normdatei der DNB nachschlagen
Wienke, AndreasIn der Gemeinsamen Normdatei der DNB nachschlagen
Surov, AlexeyIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2025
Art: Artikel
Sprache: Englisch
Zusammenfassung: 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-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: European radiology
Verlag: Springer
Verlagsort: Berlin
Band: 35
Originalveröffentlichung: 10.1007/s00330-025-11683-1
Seitenanfang: 6928
Seitenende: 6935
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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