Your browser doesn't support javascript.
loading
Comparison and optimization of b value combinations for diffusion-weighted imaging in discriminating hepatic fibrosis.
Wang, Jiaoyan; Zhou, Xue; Yao, Mingrong; Tan, Wenli; Zhan, Songhua; Liu, Kun; Feng, Zhen; Yan, Huamei; Dai, Yongming; Yuan, Jie.
Afiliação
  • Wang J; Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
  • Zhou X; Department of Radiology, Central Hospital of Jiangjin District and Chongqing University Jiangjin Hospital, Chongqing, 402260, China.
  • Yao M; Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
  • Tan W; Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
  • Zhan S; Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
  • Liu K; Department of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
  • Feng Z; Department of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
  • Yan H; Clinical Research Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
  • Dai Y; MR Collaboration, United Imaging Healthcare, Shanghai, 200030, China.
  • Yuan J; Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China. yuanjie3352@shutcm.edu.cn.
Abdom Radiol (NY) ; 49(4): 1113-1121, 2024 04.
Article em En | MEDLINE | ID: mdl-38285179
ABSTRACT
INTRODUCTION AND

OBJECTIVES:

Diffusion-weighted imaging (DWI) has shown potential in characterizing hepatic fibrosis. However, there are no widely accepted apparent diffusion coefficient (ADC) values for the b value combination. This study aims to determine the optimal high and low b values of DWI to assess hepatic fibrosis in patients with chronic liver disease. MATERIALS AND

METHODS:

The prospective study included 81 patients with chronic liver disease and 21 healthy volunteers who underwent DWI, Magnetic resonance elastography (MRE), and liver biopsy. The ADC was calculated by twenty combinations of nine b values (0, 50, 100, 150, 200, 800, 1000, 1200, and 1500 s/mm2).

RESULTS:

All ADC values of the healthy volunteers were significantly higher than those of the hepatic fibrosis group (all P < 0.01). With the progression of hepatic fibrosis, ADC values significantly decreased in b value combinations (100 and 1000 s/mm2, 150 and 1200 s/mm2, 200 and 800 s/mm2, and 200 and 1000 s/mm2). ADC values derived from b values of both 200 and 800 s/mm2 and 200 and 1000 s/mm2 were found to be more discriminative for differentiating the stages of hepatic fibrosis. An excellent correlation was between the ADC200-1000 value and MRE shear stiffness (r = - 0.750, P < 0.001).

CONCLUSION:

DWI offers an alternative to MRE as a useful imaging marker for detecting and staging hepatic fibrosis. Clinically, ADC values for b values ranging from 200-800 s/mm2 to 200-1000 s/mm2 are recommended for the assessment of hepatic fibrosis.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Imagem por Elasticidade / Cirrose Hepática Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Imagem por Elasticidade / Cirrose Hepática Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article