Feasibility of spectral CT–derived extracellular volume fraction for differentiating aldosterone-producing from nonfunctioning adrenal nodules

Yang, Ping; Tang, Guanglei; Sun, Mengya; Yu, Shuang; Cheng, Yanglei; Wang, Yu; Deng, Wei‐Wei; Li, Yanbing; Guan, Jian

doi:10.1007/s00330-023-10077-5

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…Dual-energy CT-based ECV fraction does not need the enhanced images, which can avoid the misregistration. Dual-energy CT-derived ECV fraction and has been applied in differentiating and evaluating the biological behavior of thoracic and abdominal tumors [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of iodine concentration parameter and extracellular volume fraction derived from dual-energy CT for distinguishing type Ⅰ and type Ⅱ epithelial ovarian carcinoma

Song,

Li,

et al. 2024

Preprint

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Objectives: To investigate the feasibility of using the iodine concentration (IC) parameter and extracellular volume (ECV) fraction derived from dual-energy CT for distinguishing between type Ⅰ and type Ⅱ epithelial ovarian carcinoma (EOC). Methods: This study retrospectively included 140 patients with EOC preoperatively underwent dual-energy CT scans. Patients were grouped as type Ⅰ and type Ⅱ EOC according to postoperatively pathologic results. Normalized IC (NIC, %) values from arterial-phase (AP), venous-phase (VP) and delay-phase (DP) were measured by two observers. ECV fraction (%) was calculated by DP-NIC and hematocrit. Intra-observer correlation coefficient (ICC) was used to assess the agreement between measurements made by two observers. The differences of imaging parameters between the two groups were compared. Logistic regression was used to select independent predictive factors and establish combined parameter. Receiver operating characteristic curve was used to analyze performance of all parameters. Results: The ICCs for all parameters exceeded 0.75. All parameters in type Ⅱ EOC were all significantly higher than those in type Ⅰ EOC (all P < 0.05). DP-NIC exhibited the highest Area under the curve (AUC) of 0.828, along with 88.51% sensitivity and 62.26% specificity. DP-NIC was identified as the independent factor. The sensitivity and specificity of ECV fraction were 83.91% and 67.92%, respectively. The combined parameter consisting of AP-NIC, VP-NIC, DP-NIC, and ECV fraction yielded an AUC of 0.848, with sensitivity of 82.76% and specificity of 75.47%. The AUC of the combined parameter was significantly higher than that of VP-NIC (P = 0.042). Conclusion: It is valuable for dual-energy CT IC-based parameters and ECV fraction in preoperatively identifying type Ⅰ and type Ⅱ EOC. Critical relevance statement Dual-energy CT-normalized iodine concentration and extracellular volume fraction achieved satisfactory discriminative efficacy, distinguishing between type Ⅰ and type Ⅱ epithelial ovarian carcinoma.

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Section: Introductionmentioning

confidence: 99%