Literature DB >> 25025151

Is DWI/ADC a useful tool in the characterization of focal hepatic lesions suspected of malignancy?

Maria Luiza Testa1, Rubens Chojniak1, Letícia Silva Sene1, Aline Santos Damascena2, Marcos Duarte Guimarães1, Janio Szklaruk3, Edson Marchiori4.   

Abstract

OBJECTIVE: Apparent diffusion coefficient (ADC) values calculated through magnetic resonance imaging have been proposed as a useful tool to distinguish benign from malignant liver lesions. Most studies however included simple cysts in their analysis. Liver cysts are easy to diagnose, have very high ADC values and their inclusion facilitates differentiation in the ADC values between benign and malignant liver lesions groups. We prospectively evaluated the ability of ADC values to differentiate metastatic liver lesions from all benign or only solid benign liver lesions.
MATERIAL AND METHODS: Sixty-seven adult cancer patients with 188 liver lesions were evaluated. Lesions were categorized as metastatic or benign throughout imaging and clinical evaluation. One hundred and five (105) metastatic lesions and 83 benign lesions including hemangiomas (37), cysts (42), adenomas (2) and focal nodular hyperplasias (2) were evaluated. ADC values were calculated for each lesion utilizing two b values (0 and 600 sec/mm2).
RESULTS: The average ADC value for cysts was 2.4×10(-3) mm2/sec (CI: 2.1-2.6), for solid benign lesions was 1.4×10(-3) mm2/sec (CI: 1.1-1.7) and for metastases was 1.0×10(-3) mm2/sec (CI: 0.8-1.3). There was a difference between the ADC values of metastases and benign solid lesions (p<0.0001). With the ADC value of 1.5×10(-3) mm2/sec as a cut off it is possible to distinguish metastatic from benign liver lesions, including cysts, with an accuracy of 78%. But to distinguish metastatic from benign solid liver lesions the best ADC cut off value was 1.2×10(-3) mm2/sec and the accuracy drops to 71%.
CONCLUSIONS: ADC values proved to be helpful in the distinction between metastasis and benign solid hepatic lesions. But the exclusion of cysts in the analysis point out to a lower cut off value and lower accuracy than previously reported.

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Year:  2014        PMID: 25025151      PMCID: PMC4099077          DOI: 10.1371/journal.pone.0101944

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  15 in total

1.  Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique.

Authors:  Melanie Bruegel; Konstantin Holzapfel; Jochen Gaa; Klaus Woertler; Simone Waldt; Berthold Kiefer; Alto Stemmer; Carl Ganter; Ernst J Rummeny
Journal:  Eur Radiol       Date:  2007-10-25       Impact factor: 5.315

2.  [Imaging diagnosis of hepatic metastasis and histopathology corroboration].

Authors:  Joan Figueras
Journal:  Cir Esp       Date:  2009-04-16       Impact factor: 1.653

3.  Diagnosis of hepatic metastasis: comparison of respiration-triggered diffusion-weighted echo-planar MRI and five t2-weighted turbo spin-echo sequences.

Authors:  Melanie Bruegel; Jochen Gaa; Simone Waldt; Klaus Woertler; Konstantin Holzapfel; Berthold Kiefer; Ernst J Rummeny
Journal:  AJR Am J Roentgenol       Date:  2008-11       Impact factor: 3.959

Review 4.  Diffusion-weighted MR imaging of the liver.

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

5.  Diffusion-weighted imaging of the liver: comparison of navigator triggered and breathhold acquisitions.

Authors:  Bachir Taouli; Alison Sandberg; Alto Stemmer; Tejas Parikh; Samson Wong; Jian Xu; Vivian S Lee
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

Review 6.  Diffusion weighted imaging in the liver.

Authors:  Petra G Kele; Eric J van der Jagt
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

7.  Hepatic metastasis--which imaging modality is the best?

Authors:  A K Goel
Journal:  Trop Gastroenterol       Date:  1994 Jan-Mar

Review 8.  Liver lesion detection and characterization: role of diffusion-weighted imaging.

Authors:  Nicola Galea; Vito Cantisani; Bachir Taouli
Journal:  J Magn Reson Imaging       Date:  2013-06       Impact factor: 4.813

9.  Improved focal liver lesion detection: comparison of single-shot diffusion-weighted echoplanar and single-shot T2 weighted turbo spin echo techniques.

Authors:  K Coenegrachts; J Delanote; L Ter Beek; M Haspeslagh; S Bipat; J Stoker; F Van Kerkhove; L Steyaert; H Rigauts; J W Casselman
Journal:  Br J Radiol       Date:  2007-05-17       Impact factor: 3.039

10.  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

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  11 in total

1.  Evaluation of computed tomography arterial portography scan timing using different bolus tracking methods.

Authors:  Ayaka Chiba; Kohei Harada; Yoshiya Ohashi; Kanako Numasawa; Tatsuya Imai; Shun Hayasaka
Journal:  Radiol Phys Technol       Date:  2020-02-13

2.  Diffusion weighted imaging for the differential diagnosis of benign vs. malignant ovarian neoplasms.

Authors:  Xiang-Fu Meng; Shi-Cai Zhu; Shao-Juan Sun; Ji-Cai Guo; Xue Wang
Journal:  Oncol Lett       Date:  2016-04-18       Impact factor: 2.967

3.  Preliminary Study of MR Diffusion Tensor Imaging of the Liver for the Diagnosis of Hepatocellular Carcinoma.

Authors:  Xinghui Li; Qi Liang; Ling Zhuang; Xiaoming Zhang; Tianwu Chen; Liangjun Li; Jun Liu; Horea Calimente; Yinan Wei; Jiani Hu
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

4.  Diffusion-weighted MR imaging of non-complicated hepatic cysts: Value of 3T computed diffusion-weighted imaging.

Authors:  Yuko Nakamura; Toru Higaki; Yuji Akiyama; Wataru Fukumoto; Kenji Kajiwara; Yoko Kaichi; Yukiko Honda; Daisuke Komoto; Fuminari Tatsugami; Makoto Iida; Toshifumi Ohmoto; Shuji Date; Kazuo Awai
Journal:  Eur J Radiol Open       Date:  2016-07-18

Review 5.  Diffusion-weighted imaging of the liver: Current applications.

Authors:  Kazuhiro Saito; Yu Tajima; Taiyo L Harada
Journal:  World J Radiol       Date:  2016-11-28

6.  DWI/ADC in Differentiation of Benign from Malignant Focal Liver Lesion.

Authors:  Elma Jahic; Amela Sofic; Azra Husic Selimovic
Journal:  Acta Inform Med       Date:  2016-07-16

7.  Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla.

Authors:  Motonori Akagi; Yuko Nakamura; Toru Higaki; Yoshiko Matsubara; Hiroaki Terada; Yukiko Honda; Fuminari Tatsugami; Yasutaka Baba; Makoto Iida; Kazuo Awai
Journal:  J Comput Assist Tomogr       Date:  2018 May/Jun       Impact factor: 1.826

8.  Diagnostic accuracy of apparent diffusion coefficient (ADC) value in differentiating malignant from benign solid liver lesions: a systematic review and meta-analysis.

Authors:  Farhad Nalaini; Fatemeh Shahbazi; Seyedeh Maryam Mousavinezhad; Ali Ansari; Mohammadgharib Salehi
Journal:  Br J Radiol       Date:  2021-06-16       Impact factor: 3.629

9.  Evaluation of ADCratio on liver MRI diffusion to discriminate benign versus malignant solid liver lesions.

Authors:  Tarun Pankaj Jain; Wen Ter Kan; Sean Edward; Helen Fernon; Renuvathy Kansan Naider
Journal:  Eur J Radiol Open       Date:  2018-11-15

10.  Evaluation of the Effect of Patient Preparation Using Castor Oil on ADC Value of Focal Liver Lesion.

Authors:  Kawa Abdulla Mahmood; Rezheen Jamal Rashid; Salah Mohammed Fateh; Naser Abdullah Mohammed
Journal:  Int J Gen Med       Date:  2021-02-16
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