Preliminary Experience with Virtual Monoenergetic Imaging and Iodine Mapping in the Primary Staging of Endometrial Cancer.
Stephanie Tina SauerHenner HuflageSara Aniki ChristnerTheresa Sophie PatzerMatthias KieselAnne Cathrine Scherer-QuenzerAndreas Steven KunzThorsten Alexander BleyJan-Peter GrunzPublished in: Cancers (2024)
This study investigated whether virtual monoenergetic images (VMIs) and iodine mapping based on dual-energy CT (DECT) provide advantages in the assessment of endometrial cancer. A dual-source DECT was performed for primary staging of histologically proven endometrioid adenocarcinoma in 21 women (66.8 ± 12.0 years). In addition to iodine maps, VMIs at 40, 50, 60, 70, and 80 keV were reconstructed from polyenergetic images (PEIs). Objective analysis comprised the measurement of tumor contrast, contrast-to-noise ratio, and normalized iodine concentration (NIC). In addition, three radiologists independently rated tumor conspicuity. The highest tumor contrast (106.6 ± 45.0 HU) and contrast-to-noise ratio (4.4 ± 2.0) was established for VMIs at 40 keV. Tumor contrast in all VMIs ≤ 60 keV was higher than in PEIs ( p < 0.001). The NIC of malignant tissue measured in iodine maps was substantially lower compared with a healthy myometrium (0.3 ± 0.1 versus 0.6 ± 0.1 mg/mL; p < 0.001). Tumor conspicuity was highest in 40 keV datasets, whereas no difference was found among PEIs and VMIs at 60 and 70 keV ( p ≥ 0.334). Interobserver agreement was good, indicated by an intraclass correlation coefficient of 0.824 (0.772-0.876; p < 0.001). In conclusion, computation of VMIs at 40 keV and color-coded iodine maps aids the assessment of endometroid adenocarcinoma in primary staging.
Keyphrases
- dual energy
- endometrial cancer
- computed tomography
- contrast enhanced
- image quality
- magnetic resonance
- magnetic resonance imaging
- high resolution
- squamous cell carcinoma
- lymph node
- positron emission tomography
- pet ct
- deep learning
- type diabetes
- pregnant women
- air pollution
- adipose tissue
- metabolic syndrome
- skeletal muscle
- clinical evaluation