Pubblicazioni

Autori:

Fiz, Francesco; Rossi, Noemi; Langella, Serena; Conci, Simone; Serenari, Matteo; Ardito, Francesco; Cucchetti, Alessandro; Gallo, Teresa; Zamboni, Giulia A; Mosconi, Cristina; Boldrini, Luca; Mirarchi, Mariateresa; Cirillo, Stefano; Ruzzenente, Andrea; Pecorella, Ilaria; Russolillo, Nadia; Borzi, Martina; Vara, Giulio; Mele, Caterina; Ercolani, Giorgio; Giuliante, Felice; Cescon, Matteo; Guglielmi, Alfredo; Ferrero, Alessandro; Sollini, Martina; Chiti, Arturo; Torzilli, Guido; Ieva, Francesca; Viganò, Luca

Titolo:

Radiomics of Intrahepatic Cholangiocarcinoma and Peritumoral Tissue Predicts Postoperative Survival: Development of a CT-Based Clinical-Radiomic Model

Anno:

2024

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Referee:

No

Nome rivista:

ANNALS OF SURGICAL ONCOLOGY

ISSN Rivista:

1068-9265

N° Volume:

31

Numero o Fascicolo:

9

Intervallo pagine:

5604-5614

Parole chiave:

Computed tomography; Intrahepatic cholangiocarcinoma; Liver surgery; Peritumoral tissue; Prognosis; Radiomics; Survival

Breve descrizione dei contenuti:

Background: For many tumors, radiomics provided a relevant prognostic contribution. This study tested whether the computed tomography (CT)-based textural features of intrahepatic cholangiocarcinoma (ICC) and peritumoral tissue improve the prediction of survival after resection compared with the standard clinical indices. Methods: All consecutive patients affected by ICC who underwent hepatectomy at six high-volume centers (2009-2019) were considered for the study. The arterial and portal phases of CT performed fewer than 60 days before surgery were analyzed. A manual segmentation of the tumor was performed (Tumor-VOI). A 5-mm volume expansion then was applied to identify the peritumoral tissue (Margin-VOI). Results: The study enrolled 215 patients. After a median follow-up period of 28 months, the overall survival (OS) rate was 57.0%, and the progression-free survival (PFS) rate was 34.9% at 3 years. The clinical predictive model of OS had a C-index of 0.681. The addition of radiomic features led to a progressive improvement of performances (C-index of 0.71, including the portal Tumor-VOI, C-index of 0.752 including the portal Tumor- and Margin-VOI, C-index of 0.764, including all VOIs of the portal and arterial phases). The latter model combined clinical variables (CA19-9 and tumor pattern), tumor indices (density, homogeneity), margin data (kurtosis, compacity, shape), and GLRLM indices. The model had performance equivalent to that of the postoperative clinical model including the pathology data (C-index of 0.765). The same results were observed for PFS. Conclusions: The radiomics of ICC and peritumoral tissue extracted from preoperative CT improves the prediction of survival. Both the portal and arterial phases should be considered. Radiomic and clinical data are complementary and achieve a preoperative estimation of prognosis equivalent to that achieved in the postoperative setting.

Note:

Epub 2024 May 26

Id prodotto:

139967

Handle IRIS:

11562/1127567

ultima modifica:

21 agosto 2024

Citazione bibliografica:

Fiz, Francesco; Rossi, Noemi; Langella, Serena; Conci, Simone; Serenari, Matteo; Ardito, Francesco; Cucchetti, Alessandro; Gallo, Teresa; Zamboni, Giulia A; Mosconi, Cristina; Boldrini, Luca; Mirarchi, Mariateresa; Cirillo, Stefano; Ruzzenente, Andrea; Pecorella, Ilaria; Russolillo, Nadia; Borzi, Martina; Vara, Giulio; Mele, Caterina; Ercolani, Giorgio; Giuliante, Felice; Cescon, Matteo; Guglielmi, Alfredo; Ferrero, Alessandro; Sollini, Martina; Chiti, Arturo; Torzilli, Guido; Ieva, Francesca; Viganò, Luca, Radiomics of Intrahepatic Cholangiocarcinoma and Peritumoral Tissue Predicts Postoperative Survival: Development of a CT-Based Clinical-Radiomic Model «ANNALS OF SURGICAL ONCOLOGY» , vol. 31 , n. 9 , 2024 , pp. 5604-5614

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo