Quantitative analysis of enhanced CT in differentiating well-differentiated pancreatic neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas
Creators
- 1. Institue of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, 310018, Hangzhou (China)
- 2. Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), 310022, Hangzhou (China)
- 3. Department of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Jiefang Road 88#, 310009, Hangzhou (China)
- 4. Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Qingchun Road 79#, 310006, Hangzhou (China)
- 5. Department of Interventional Radiology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), 310022, Hangzhou (China)
Description
To identify quantitative CT features for distinguishing well-differentiated pancreatic neuroendocrine tumors (PNETs) from poorly differentiated pancreatic neuroendocrine carcinomas (PNECs). Seventeen patients with PNECs and 131 patients with PNETs confirmed by biopsy or surgery were retrospectively included. General demographic (sex, age) and CT quantitative parameters (arterial/portal absolute enhancement, arterial/portal relative enhancement ratio, arterial/portal enhancement ratio) were collected. Univariate and multivariate logistic regression analyses were performed to confirm independent variables for differentiating PNECs from PNETs. Receiver operating characteristic (ROC) curves for each quantitative parameter were generated to determine their diagnostic ability. PNECs had a much lower mean arterial/portal absolute enhancement value (19.5 ± 11.0 vs. 78.8 ± 47.2; 28.1 ± 15.8 vs. 77.0 ± 39.4), arterial/portal relative enhancement ratio (0.57 ± 0.36 vs. 2.03 ± 1.31; 0.80 ± 0.52 vs. 1.99 ± 1.13), and arterial/portal enhancement ratio (0.62 ± 0.27 vs. 1.22 ± 0.49; 0.74 ± 0.19 vs. 1.21 ± 0.36) than PNETs (all p < 0.001). After multivariable analysis, arterial absolute enhancement (odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.93, 0.99) and portal absolute enhancement (OR: 0.96, 95% CI: 0.92, 0.99) were independent factors for differentiating PNECs from PNETs. For each quantitative parameter, arterial lesion enhancement yielded the highest diagnostic performance, with an area under the curve (AUC) of 0.922 (95% CI: 0.867-0.960), followed by portal absolute enhancement. Arterial/portal absolute enhancements were independent predictors with good diagnostic accuracy for differentiating between PNETs and PNECs. Quantitative parameters of enhanced CT can distinguish PNECs from PNETs. PNECs were hypovascular and had a much lower enhanced CT attenuation in both arterial and portal phases than well-differentiated PNETs. Quantitative parameters derived from enhanced CT can be used to distinguish PNECs from PNETs. Arterial absolute enhancement and portal absolute enhancement were independent predictive factors for differentiating between PNETs and PNECs.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-022-08891-4Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 32
- Journal Issue
- 12
- Journal Page Range
- p. 8317-8325
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 54010571
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; AGE DEPENDENCE; ATTENUATION; BIOPSY; CARCINOMAS; COMPUTERIZED TOMOGRAPHY; DATA COMPILATION; DIAGNOSIS; ENDOCRINE DISEASES; MULTIVARIATE ANALYSIS; PANCREAS; REGRESSION ANALYSIS; SEX DEPENDENCE; SURGERY
- Descriptors DEC
- BODY; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; DISEASES; ENDOCRINE GLANDS; GLANDS; INFORMATION; MATHEMATICS; MEDICINE; NEOPLASMS; ORGANS; PROCESSING; STATISTICS; TOMOGRAPHY