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Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase.
Mao, Hao-Yu; Shen, Bin-Qing; Zhang, Ji-Yun; Zhang, Tao; Cai, Wu; Fan, Yan-Fen; Wang, Xi-Ming; Yu, Yi-Xing; Hu, Chun-Hong.
Afiliação
  • Mao HY; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Shen BQ; School of Radiation Medicine and Protection, Soochow University, Suzhou, China.
  • Zhang JY; Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
  • Zhang T; Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
  • Cai W; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
  • Fan YF; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Wang XM; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Yu YX; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China. yuyixing@163.com.
  • Hu CH; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China. sdhuchunhong@sina.com.
BMC Med Imaging ; 24(1): 211, 2024 Aug 12.
Article em En | MEDLINE | ID: mdl-39134943
ABSTRACT

BACKGROUND:

To develop and validate a nomogram model based on Gd-EOB-DTPA enhanced MRI for differentiation between hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) showing iso- or hyperintensity in the hepatobiliary phase (HBP).

METHODS:

A total of 75 patients with 49 HCCs and 26 FNHs randomly divided into a training cohort (n = 52 34 HCC; 18 FNH) and an internal validation cohort (n = 23 15 HCC; 8 FNH). A total of 37 patients (n = 37 25 HCC; 12 FNH) acted as an external test cohort. The clinical and imaging characteristics between HCC and FNH groups in the training cohort were compared. The statistically significant parameters were included into the FAE software, and a multivariate logistic regression classifier was used to identify independent predictors and establish a nomogram model. Receiver operating characteristic (ROC) curves were used to evaluate the prediction ability of the model, while the calibration and decision curves were used for model validation. Subanalysis was used to compare qualitative and quantitative characteristics of patients with chronic hepatitis and cirrhosis between the HCC and FNH groups.

RESULTS:

In the training cohort, gender, age, enhancement rate in the arterial phase (AP), focal defects in uptake were significant predictors for HCC showing iso- or hyperintensity in the HBP. In the training cohort, area under the curve (AUC), sensitivity and specificity of the nomogram model were 0.989(95%CI 0.967-1.000), 97.1% and 94.4%. In the internal validation cohort, the above three indicators were 0.917(95%CI 0.782-1.000), 93.3% and 87.5%. In the external test cohort, the above three indicators were 0.960(95%CI 0.905-1.000), 84.0% and 100.0%. The results of subanalysis showed that age was the independent predictor in the patients with chronic hepatitis and cirrhosis between HCC and FNH groups.

CONCLUSIONS:

Gd-EOB-DTPA enhanced MRI nomogram model may be useful for discriminating HCC and FNH showing iso- or hyperintensity in the HBP before surgery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Carcinoma Hepatocelular / Meios de Contraste / Gadolínio DTPA / Hiperplasia Nodular Focal do Fígado / Nomogramas / Neoplasias Hepáticas Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Med Imaging Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Carcinoma Hepatocelular / Meios de Contraste / Gadolínio DTPA / Hiperplasia Nodular Focal do Fígado / Nomogramas / Neoplasias Hepáticas Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Med Imaging Ano de publicação: 2024 Tipo de documento: Article