Pubblicazioni

Autori:

Geraci, L.; Tomaiuolo, L.; Longo, C.; Autelitano, D.; Todesco, M.; Carli, A.; Verrengia, F.; Olivieri, A.; De Robertis, R.; D’Onofrio, M.

Titolo:

Pancreatic ductal adenocarcinoma: CT texture analysis

Anno:

2022

Tipologia prodotto:

Abstract in Atti di convegno

Tipologia ANVUR:

Abstract in Atti di convegno

Lingua:

Inglese

Titolo del Convegno:

ESGAR 2022

Luogo:

Lisbona (Portogallo)

Periodo:

31/5/2022 - 3/6/2022

Intervallo pagine:

12-12

Parole chiave:

pancreas, ct, texture analysis

Breve descrizione dei contenuti:

Purpose: The aim of this study is to evaluate the presence of metastasis through CT texture analysis in patients with pancreatic ductal adenocarcinoma (PDAC). Material and Methods: 3 cohorts of patients were retrospectively enrolled: 1218 with anatomopathological diagnosis of PDAC; 1383 received surgery of head pancreatic cancer; 1260 with head pancreatic cancer extracted from our radiological archive. Essential for each one were arterial and venous phases in CT examination available in DICOM format; clinical and biological parameters including CA19.9, CEA, CA125, AST, ALT, GGT and bilirubin levels were recorded. Texture features were extracted from 2D regions of interest (ROIs) based on unenhanced, arterial- and portal-phase CT images and compared with the presence of metastasis. Clinical features and texture-derived parameters were compared; receiver operating characteristic (ROC) curves were constructed for the features that showed a significant difference between groups. Kruskal–Wallis and ANOVA tests were used to assess differences of texture parameters between metastatic (M+) and non-metastatic (M−) groups. Results: 321 patients (167 males, 154 females; age range, 30–87 years) were included. Several features were different with statistical significance. Arterial and venous HU_min and HU_mean were significantly minor in M+ (p = 0.00 for all). Arterial and venous SHAPE_Volume_(ml) were significantly greater in M+ (p = 0.00 both). Furthermore, significant differences were found with p <0.05 in other 7 first-order features, in 3 venous GLCM features, in 12 GLRLM features, in 6 NGLDM features, and in 9 GLZLM features. Conclusion: CT texture analysis could predict PDAC metastasis through several parameters with statistically significant differences between M+ and M− groups.

Id prodotto:

129812

Handle IRIS:

11562/1075278

ultima modifica:

23 febbraio 2023

Citazione bibliografica:

Geraci, L.; Tomaiuolo, L.; Longo, C.; Autelitano, D.; Todesco, M.; Carli, A.; Verrengia, F.; Olivieri, A.; De Robertis, R.; D’Onofrio, M., Pancreatic ductal adenocarcinoma: CT texture analysis  in Insights into Imaging , Atti di "ESGAR 2022" , Lisbona (Portogallo) , 31/5/2022 - 3/6/2022 , 2022 , pp. 12-12

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