Literature DB >> 28921384

Can diffusion-weighted imaging distinguish between benign and malignant pediatric liver tumors?

Pablo Caro-Domínguez1, Abha A Gupta2, Govind B Chavhan3.   

Abstract

BACKGROUND: There are limited data on utility of diffusion-weighted imaging (DWI) in the evaluation of pediatric liver lesions.
OBJECTIVE: To determine whether qualitative and quantitative DWI can be used to differentiate benign and malignant pediatric liver lesions.
MATERIALS AND METHODS: We retrospectively reviewed MRIs in children with focal liver lesions to qualitatively evaluate lesions noting diffusion restriction, T2 shine-through, increased diffusion, hypointensity on DWI and apparent diffusion coefficient (ADC) maps, and intermediate signal on both, and to measure ADC values. Pathology confirmation or a combination of clinical, laboratory and imaging features, and follow-up was used to determine final diagnosis.
RESULTS: We included 112 focal hepatic lesions in 89 children (median age 11.5 years, 51 female), of which 92 lesions were benign and 20 malignant. Interobserver agreement was almost perfect for both qualitative (kappa 0.8735) and quantitative (intraclass correlation coefficient [ICC] 0.96) diffusion assessment. All malignant lesions showed diffusion restriction. Most benign lesions other than abscesses were not restricted. There was significant association of qualitative restriction with malignancy and non-restriction with benignancy (Fisher exact test P<0.0001). Mean normalized ADC values of malignant lesions (1.23x10-3 mm2/s) were lower than benign lesions (1.62x10-3 mm2/s; Student's t-test, P<0.015). However, there was significant overlap of ADC between benign and malignant lesions, with wide range for each diagnosis. Receiver operating characteristic (ROC) analysis revealed an area under the curve (AUC) of 0.63 for predicting malignancy using an ADC cut-off value of ≤1.20x10-3 mm2/s, yielding a sensitivity of 78% and a specificity of 54% for differentiating malignant from benign lesions.
CONCLUSION: Qualitative diffusion restriction in pediatric liver lesions is a good predictor of malignancy and can help to differentiate between benign and malignant lesions, in conjunction with conventional MR sequences. Even though malignant lesions demonstrated significantly lower ADC values than benign lesions, the use of quantitative diffusion remains limited in its utility for distinguishing them because of the significant overlap and wide ranges of ADC values.

Entities:  

Keywords:  Apparent diffusion coefficient; Children; Diffusion-weighted imaging; Lesion; Liver; Magnetic resonance imaging

Mesh:

Substances:

Year:  2017        PMID: 28921384     DOI: 10.1007/s00247-017-3984-9

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  25 in total

Review 1.  Lesion discrimination with breath-hold hepatic diffusion-weighted imaging: a meta-analysis.

Authors:  Zhi-Guang Chen; Li Xu; Si-Wei Zhang; Yan Huang; Rui-Huan Pan
Journal:  World J Gastroenterol       Date:  2015-02-07       Impact factor: 5.742

Review 2.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

3.  Diffusion-weighted imaging in the abdomen and pelvis: concepts and applications.

Authors:  Aliya Qayyum
Journal:  Radiographics       Date:  2009-10       Impact factor: 5.333

4.  Utility of diffusion-weighted MRI in distinguishing benign and malignant hepatic lesions.

Authors:  Frank H Miller; Nancy Hammond; Aheed J Siddiqi; Sagar Shroff; Gaurav Khatri; Yi Wang; Laura B Merrick; Paul Nikolaidis
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

5.  From the archives of the AFIP: Pediatric liver masses: radiologic-pathologic correlation part 1. Benign tumors.

Authors:  Ellen M Chung; Regino Cube; Rachel B Lewis; Richard M Conran
Journal:  Radiographics       Date:  2010-05       Impact factor: 5.333

Review 6.  Diffusion-weighted imaging in pediatric body MR imaging: principles, technique, and emerging applications.

Authors:  Govind B Chavhan; Zehour Alsabban; Paul S Babyn
Journal:  Radiographics       Date:  2014 May-Jun       Impact factor: 5.333

Review 7.  Diffusion-weighted MRI in the body: applications and challenges in oncology.

Authors:  Dow-Mu Koh; David J Collins
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

8.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging.

Authors:  Tejas Parikh; Stephen J Drew; Vivian S Lee; Samson Wong; Elizabeth M Hecht; James S Babb; Bachir Taouli
Journal:  Radiology       Date:  2008-01-25       Impact factor: 11.105

9.  Pediatric multifocal liver lesions evaluated by MRI.

Authors:  Majed Almotairi; Kamaldine Oudjhane; Govind B Chavhan
Journal:  Indian J Radiol Imaging       Date:  2015 Jul-Sep

10.  Hepatocellular carcinoma: IVIM diffusion quantification for prediction of tumor necrosis compared to enhancement ratios.

Authors:  Suguru Kakite; Hadrien A Dyvorne; Karen M Lee; Guido H Jajamovich; Ashley Knight-Greenfield; Bachir Taouli
Journal:  Eur J Radiol Open       Date:  2015-12-08
View more
  5 in total

1.  [Imaging of abdominal tumors in childhood and adolescence : Part I: Background, hepatic, splenic and pancreatic tumors].

Authors:  D M Renz; H-J Mentzel
Journal:  Radiologe       Date:  2018-06       Impact factor: 0.635

Review 2.  Paediatric gastrointestinal and hepatobiliary radiology: why do we need subspecialists, and what is new?

Authors:  Tom A Watson; Joy Barber; Helen Woodley
Journal:  Pediatr Radiol       Date:  2021-03-20

3.  Usefulness of diffusion-weighted MRI in the initial assessment of osseous sarcomas in children and adolescents.

Authors:  Alaa N Alsharief; Claudia Martinez-Rios; Sevan Hopyan; Afsaneh Amirabadi; Andrea S Doria; Mary-Louise C Greer
Journal:  Pediatr Radiol       Date:  2019-06-15

4.  Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.

Authors:  Hong-Xia Zhang; Xiu-Shi Zhang; Zi-Xiang Kuai; Yang Zhou; Yun-Feng Sun; Zhi-Chang Ba; Kuang-Bang He; Xi-Qiao Sang; Yuan-Fei Yao; Chun-Yu Chu; Yue-Min Zhu
Journal:  Transl Oncol       Date:  2018-09-11       Impact factor: 4.243

5.  3D variable flip angle T1 mapping for differentiating benign and malignant liver lesions at 3T: comparison with diffusion weighted imaging.

Authors:  Fei Wang; Qing Yang; Yupei Zhang; Jun Liu; Mengxiao Liu; Juan Zhu
Journal:  BMC Med Imaging       Date:  2022-08-18       Impact factor: 2.795

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.