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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 Robert Niehoff, Julius Henning Saeed, Saher Gerdes, Berthold Danebrock, Raihanatou Ina Fetzner, Ulrich Klaus Borggrefe, Jan Wienke, Andreas Surov, Alexey |
| 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 |
| 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s00330-025-11683-1.pdf | 2.89 MB | Adobe PDF | ![]() View/Open |
Open access publication
