Details

Autor(en) / Beteiligte

• De Robertis, Riccardo
• Maris, Bogdan
• Cardobi, Nicolò
• Tinazzi Martini, Paolo
• Gobbo, Stefano
• Capelli, Paola
• Ortolani, Silvia
• Cingarlini, Sara
• Paiella, Salvatore
• Landoni, Luca
• Butturini, Giovanni
• Regi, Paolo
• Scarpa, Aldo
• Tortora, Giampaolo
• D’Onofrio, Mirko

Titel

Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors?

Ist Teil von

• European radiology, 2018-06, Vol.28 (6), p.2582-2591

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2018

Quelle

MEDLINE

Beschreibungen/Notizen

• Objectives To evaluate MRI derived whole-tumour histogram analysis parameters in predicting pancreatic neuroendocrine neoplasm (panNEN) grade and aggressiveness. Methods Pre-operative MR of 42 consecutive patients with panNEN >1 cm were retrospectively analysed. T1-/T2-weighted images and ADC maps were analysed. Histogram-derived parameters were compared to histopathological features using the Mann-Whitney U test. Diagnostic accuracy was assessed by ROC-AUC analysis; sensitivity and specificity were assessed for each histogram parameter. Results ADC entropy was significantly higher in G2-3 tumours with ROC-AUC 0.757; sensitivity and specificity were 83.3 % (95 % CI: 61.2–94.5) and 61.1 % (95 % CI: 36.1–81.7). ADC kurtosis was higher in panNENs with vascular involvement, nodal and hepatic metastases (p= .008, .021 and .008; ROC-AUC= 0.820, 0.709 and 0.820); sensitivity and specificity were: 85.7/74.3 % (95 % CI: 42–99.2 /56.4–86.9), 36.8/96.5 % (95 % CI: 17.2–61.4 /76–99.8) and 100/62.8 % (95 % CI: 56.1–100/44.9–78.1). No significant differences between groups were found for other histogram-derived parameters ( p >.05). Conclusions Whole-tumour histogram analysis of ADC maps may be helpful in predicting tumour grade, vascular involvement, nodal and liver metastases in panNENs. ADC entropy and ADC kurtosis are the most accurate parameters for identification of panNENs with malignant behaviour. Key Points • Whole-tumour ADC histogram analysis can predict aggressiveness in pancreatic neuroendocrine neoplasms . • ADC entropy and kurtosis are higher in aggressive tumours . • ADC histogram analysis can quantify tumour diffusion heterogeneity . • Non-invasive quantification of tumour heterogeneity can provide adjunctive information for prognostication .