Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases

Cancers

Letterio Salvatore Politi¹  Alessio Aghemo¹  Martina Sollini¹  Arturo Chiti¹  Luca di Tommaso¹  Francesco Fiz²  Luca Balzarini³  Guido Costa⁴  Luca Viganò⁴  Guido Torzilli⁴  Francesca Ieva⁵  Lara Cavinato⁵  Chiara Masci⁵ 

[1] Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy;Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, 20189 Milan, Italy;Department of Radiology, IRCCS Humanitas Research Hospital, Rozzano, 20189 Milan, Italy;Division of Hepatobiliary and General Surgery, Department of Surgery, IRCCS Humanitas Research Hospital, Rozzano, 20189 Milan, Italy;MOX Laboratory, Department of Mathematics, Politecnico di Milano, 20133 Milan, Italy;

关键词: chemotherapy-associated liver injuries;    sinusoidal dilatation;    nodular regenerative hyperplasia;    steatohepatitis;    diagnostic imaging;    radiomics;   

DOI  :  10.3390/cancers13123077

来源: DOAJ

【 摘 要 】

Non-invasive diagnosis of chemotherapy-associated liver injuries (CALI) is still an unmet need. The present study aims to elucidate the contribution of radiomics to the diagnosis of sinusoidal dilatation (SinDil), nodular regenerative hyperplasia (NRH), and non-alcoholic steatohepatitis (NASH). Patients undergoing hepatectomy for colorectal metastases after chemotherapy (January 2018-February 2020) were retrospectively analyzed. Radiomic features were extracted from a standardized volume of non-tumoral liver parenchyma outlined in the portal phase of preoperative post-chemotherapy computed tomography. Seventy-eight patients were analyzed: 25 had grade 2–3 SinDil, 27 NRH, and 14 NASH. Three radiomic fingerprints independently predicted SinDil: GLRLM_f3 (OR = 12.25), NGLDM_f1 (OR = 7.77), and GLZLM_f2 (OR = 0.53). Combining clinical, laboratory, and radiomic data, the predictive model had accuracy = 82%, sensitivity = 64%, and specificity = 91% (AUC = 0.87 vs. AUC = 0.77 of the model without radiomics). Three radiomic parameters predicted NRH: conventional_HUQ2 (OR = 0.76), GLZLM_f2 (OR = 0.05), and GLZLM_f3 (OR = 7.97). The combined clinical/laboratory/radiomic model had accuracy = 85%, sensitivity = 81%, and specificity = 86% (AUC = 0.91 vs. AUC = 0.85 without radiomics). NASH was predicted by conventional_HUQ2 (OR = 0.79) with accuracy = 91%, sensitivity = 86%, and specificity = 92% (AUC = 0.93 vs. AUC = 0.83 without radiomics). In the validation set, accuracy was 72%, 71%, and 91% for SinDil, NRH, and NASH. Radiomic analysis of liver parenchyma may provide a signature that, in combination with clinical and laboratory data, improves the diagnosis of CALI.

【 授权许可】

Unknown