18F-FDG PET radiomics predicts pathological data and survival of intrahepatic cholangiocarcinoma

F Fiz; G Costa; ME Laino; M Sollini; GG Torzilli; A Chiti; L Viganò

doi:10.1055/s-0041-1726857

Nuklearmedizin - NuclearMedicine, Table of Contents

Nuklearmedizin 2021; 60(02): 182
DOI: 10.1055/s-0041-1726857

WIS-Poster

Radiomics

¹⁸F-FDG PET radiomics predicts pathological data and survival of intrahepatic cholangiocarcinoma

Authors

F Fiz

¹Humanitas Clinical and Research Center – IRCCS, Nuklearmedizin, Mailand
G Costa

²Humanitas Clinical and Research Center – IRCCS, Allgemeinchirurgie, Mailand
ME Laino

³Humanitas Clinical and Research Center – IRCCS, Radiologie, Mailand
M Sollini

¹Humanitas Clinical and Research Center – IRCCS, Nuklearmedizin, Mailand
GG Torzilli

²Humanitas Clinical and Research Center – IRCCS, Allgemeinchirurgie, Mailand
A Chiti

¹Humanitas Clinical and Research Center – IRCCS, Nuklearmedizin, Mailand
L Viganò

²Humanitas Clinical and Research Center – IRCCS, Allgemeinchirurgie, Mailand

Abstract

Full Text

Ziel/Aim Intrahepatic cholangiocarcinoma (IHC) is a rare disease at increasing incidence. Surgery is the only potentially curative treatment, but tumor aggressiveness leads to frequent recurrences. The present study aims to elucidate if pre-operative textural features of IHC on ¹⁸F-FDG PET may lead to non-invasive biological characterization of IHC and prediction of survival outcome.

Methodik/Methods Our institutional database was searched to identify histologically-proven IHC patients with pre-operative ¹⁸F-FDG PET/CT imaging.

On PET images, a manual slice-by-slice segmentation of IHC was performed and textural features were extracted by LifeX® software. The association between textural features and pathological data of IHC and overall/progression-free survival (OS/PFS) were investigated.

Ergebnisse/Results 80 patients (46 females, mean age 67 years, range 40-88) were included.

Poorly differentiated (G3) IHC had higher entropy (1.22 ± 0.22 vs. 1.11 ± 0.28 of G1-2 ICH, P = 0.076) and lower uniformity (0.07 ± 0.04 vs. 0.11 ± 0.07, P = 0.033). Tumors with vascular invasion had higher SUV_mean, Entropy, GCLM_Correlation, GLRLM_HGRE (p < 0.05) and lower SHAPE_Sphericity and NGLDM_Coarseness (p < 0.01). Patients with lymph node metastases had higher IHC Entropy (P = 0.023), GLCM_Entropy (p < 0.01), and SUV_mean (p < 0.05). After a median follow-up of 22 months, 3-year OS and PFS were 48.8% and 24.7%. A higher Entropy predicted a lower 3-years OS (68.9% if Entropy ≤1.16 vs. 31.6%, if >1.16, HR = 2.18, P = 0.02) and PFS (32.2 vs 17.8%, respectively, HR = 1.73, P = 0.039). A higher Uniformity predicted a better OS (32.5% if Uniformity <0.078 vs 67.1% if ≥0.078, HR = 0.5, P = 0.038) and PFS (18.2 vs 31.4%, HR = 0.61, P = 0.059). At multivariate analysis, Entropy and Uniformity were independent OS predictors (P = 0.011 and P = 0.037), together with age and N-status.

Schlussfolgerungen/Conclusions FDG-PET radiomic indices of IHC are relevant biomarkers that can non-invasively predict pathological data of tumors and survival outcome.