Radiomic analysis of MRI to Predict Sustained Complete Response after Radiofrequency Ablation in Patients with Hepatocellular Carcinoma - A Pilot Study

Imagem de Miniatura
Citações na Scopus
10
Tipo de produção
article
Data de publicação
2021
DOI
SciELO
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
HOSPITAL CLINICAS, UNIV SAO PAULO
Autores
ARAUJO-FILHO, Jose De Arimateia B.
ASSUNCAO-JR, Antonildes N.
MACHADO, Felipe Augusto de M.
SIMS, John A.
ROCHA, Camila Carlos Tavares
OLIVEIRA, Brunna Clemente
PUGA, Anna Luisa Boschiroli Lamanna
Citação
CLINICS, v.76, article ID e2888, 7p, 2021
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
OBJECTIVES: To investigate whether quantitative textural features, extracted from pretreatment MRI, can predict sustained complete response to radiofrequency ablation (RFA) in patients with hepatocellular carcinoma (HCC). METHODS: In this IRB-approved study, patients were selected from a maintained six-year database of consecutive patients who underwent both pretreatment MRI imaging with a probable or definitive imaging diagnosis of HCC (LI-RADS 4 or 5) and loco-regional treatment with RFA. An experienced radiologist manually segmented the hepatic nodules in MRI arterial and equilibrium phases to obtain the volume of interest (VOI) for extraction of 107 quantitative textural features, including shape and first- and second-order features. Statistical analysis was performed to evaluate associations between textural features and complete response. RESULTS: The study consisted of 34 patients with 51 treated hepatic nodules. Sustained complete response was achieved by 6 patients (4 with single nodule and 2 with multiple nodules). Of the 107 features from the arterial and equilibrium phases, 20 (18%) and 25 (23%) achieved AUC >0.7, respectively. The three best performing features were found in the equilibrium phase: Dependence Non-Uniformity Normalized and Dependence Variance (both GLDM class, with AUC of 0.78 and 0.76, respectively) and Maximum Probability (GLCM class, AUC of 0.76). CONCLUSIONS: This pilot study demonstrates that a radiomic analysis of pre-treatment MRI might be useful in identifying patients with HCC who are most likely to have a sustained complete response to RFA. Second-order features (GLDM and GLCM) extracted from equilibrium phase obtained highest discriminatory performance.
Palavras-chave
Carcinoma Hepatocellular, Magnetic Resonance Imaging, Radiomics, Radiofrequency Ablation
URI
https://observatorio.fm.usp.br/handle/OPI/42173
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MDR
Artigos e Materiais de Revistas Científicas - HC/ICESP
Artigos e Materiais de Revistas Científicas - HC/InCor
Artigos e Materiais de Revistas Científicas - HC/InRad
Artigos e Materiais de Revistas Científicas - HU
Artigos e Materiais de Revistas Científicas - LIM/44
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