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Radiomic analysis of mri to predict sustained complete response after radiofrequency ablation in patients with hepatocellular carcinoma - a pilot study
Horvat, Natally; Araujo-Filho, Jose de Arimateia B.; Assuncao-Jr, Antonildes N.; Machado, Felipe Augusto de M.; Departamento de Engenharia Biomedica, Centro de EngenhariaSims, John A.; Departamento de Radiologia, Instituto de Radiologia (InRad)Rocha, Camila Carlos Tavares; Oliveira, Brunna Clemente; Horvat, Joao Vicente; Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaMaccali, Claudia; Puga, Anna Luísa Boschiroli Lamanna; Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaChagas, Aline Lopes; Menezes, Marcos Roberto; Cerri, Giovanni Guido.
  • Horvat, Natally; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
  • Araujo-Filho, Jose de Arimateia B.; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
  • Assuncao-Jr, Antonildes N.; Hospital Sirio Libanes. Instituto de Educacao e Pesquisa. Sao Paulo. BR
  • Machado, Felipe Augusto de M.; Hospital Sirio Libanes. Instituto de Educacao e Pesquisa. Sao Paulo. BR
  • Departamento de Engenharia Biomedica, Centro de EngenhariaSims, John A.; Universidade Federal do ABC (UFABC). Modelagem e Ciencias Sociais Aplicadas. Departamento de Engenharia Biomedica, Centro de EngenhariaSims, John A.. Santo Andre. BR
  • Departamento de Radiologia, Instituto de Radiologia (InRad)Rocha, Camila Carlos Tavares; Universidade de Sao Paulo. Hospital das Clinicas (HCFMUSP), Faculdade de Medicina. Departamento de Radiologia, Instituto de Radiologia (InRad)Rocha, Camila Carlos Tavares. Sao Paulo. BR
  • Oliveira, Brunna Clemente; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
  • Horvat, Joao Vicente; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
  • Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaMaccali, Claudia; Universidade de Sao Paulo. Hospital das Clinicas (HCFMUSP), Faculdade de Medicina. Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaMaccali, Claudia. Sao Paulo. BR
  • Puga, Anna Luísa Boschiroli Lamanna; Universidade de Sao Paulo. Escola Politecnica. Sao Paulo. BR
  • Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaChagas, Aline Lopes; Universidade de Sao Paulo. Hospital das Clinicas (HCFMUSP), Faculdade de Medicina. Departamento de Gastroenterologia, Divisao de Gastroenterologia e Hepatologia ClinicaChagas, Aline Lopes. Sao Paulo. BR
  • Menezes, Marcos Roberto; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
  • Cerri, Giovanni Guido; Hospital Sirio Libanes. Departamento de Radiologia. Sao Paulo. BR
Clinics ; 76: e2888, 2021. tab, graf
Article in English | LILACS | ID: biblio-1286076
ABSTRACT

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.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Catheter Ablation / Carcinoma, Hepatocellular / Radiofrequency Ablation / Liver Neoplasms Type of study: Observational study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Hospital Sirio Libanes/BR / Universidade Federal do ABC (UFABC)/BR / Universidade de Sao Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Catheter Ablation / Carcinoma, Hepatocellular / Radiofrequency Ablation / Liver Neoplasms Type of study: Observational study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Hospital Sirio Libanes/BR / Universidade Federal do ABC (UFABC)/BR / Universidade de Sao Paulo/BR