Sauer Stephanie Tina, Huflage Henner, Christner Sara Aniki, Patzer Theresa Sophie, Kiesel Matthias, Quenzer Anne, Kunz Andreas Steven, Bley Thorsten Alexander, Grunz Jan-Peter
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany.
Department of Obstetrics and Gynecology, University Hospital Würzburg, Josef-Schneider-Str. 4, 97080 Würzburg, Germany.
Cancers (Basel). 2024 Mar 20;16(6):1229. doi: 10.3390/cancers16061229.
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 ( < 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; < 0.001). Tumor conspicuity was highest in 40 keV datasets, whereas no difference was found among PEIs and VMIs at 60 and 70 keV ( ≥ 0.334). Interobserver agreement was good, indicated by an intraclass correlation coefficient of 0.824 (0.772-0.876; < 0.001). In conclusion, computation of VMIs at 40 keV and color-coded iodine maps aids the assessment of endometroid adenocarcinoma in primary staging.
本研究调查了基于双能CT(DECT)的虚拟单能量图像(VMI)和碘图在子宫内膜癌评估中是否具有优势。对21名组织学证实为子宫内膜样腺癌的女性(66.8±12.0岁)进行了双源DECT检查以进行初步分期。除碘图外,还从多能图像(PEI)重建了40、50、60、70和80 keV的VMI。客观分析包括测量肿瘤对比度、对比噪声比和归一化碘浓度(NIC)。此外,三名放射科医生独立对肿瘤的可辨识度进行评分。40 keV的VMI具有最高的肿瘤对比度(106.6±45.0 HU)和对比噪声比(4.4±2.0)。所有≤60 keV的VMI中的肿瘤对比度均高于PEI(<0.001)。碘图中测量的恶性组织的NIC与健康子宫肌层相比显著更低(0.3±0.1对0.6±0.1 mg/mL;<0.001)。40 keV数据集中肿瘤的可辨识度最高,而在60和70 keV时PEI和VMI之间未发现差异(≥0.334)。组内相关系数为0.824(0.772 - 0.876;<0.001),表明观察者间一致性良好。总之,40 keV的VMI计算和彩色编码碘图有助于子宫内膜样腺癌的初步分期评估。