Literature DB >> 21343475

Accuracy of apparent diffusion coefficient value measurement on PACS workstation: A comparative analysis.

Reem M El Kady1, Arabinda Kumar Choudhary, Rafel Tappouni.   

Abstract

OBJECTIVE: The purpose of this article is to evaluate the accuracy of apparent diffusion coefficient (ADC) measurements made with a PACS workstation compared with measurements made with a dedicated workstation, which is currently considered the reference standard.
MATERIALS AND METHODS: A retrospective review was performed in liver lesions from 79 patients using three MRI platforms. The final diagnosis was established by liver biopsy in 31 patients and by dynamic MRI and follow-up, both clinical and radiologic as indicated, in 48 patients. Each lesion that was clearly demonstrable on the ADC map was measured with a commercial dedicated postprocessing workstation and again with a PACS system. A two-sample t test was used to determine the statistically significant differences between the two ADC measurements.
RESULTS: A total of 79 patients with 120 liver lesions were included. ADC values measured on the workstation were 0.4-4.38 × 10(-3) mm(2)/s. The ADC values measured on the PACS were 0.42-4.35 × 10(-3) mm(2)/s. The T value was -1.113, with 119 degrees of freedom, and the significance level was 0.268, which implies no significant difference between the two different measuring systems for all pathologic abnormalities and MRI scanners used.
CONCLUSION: ADC values measured on a routine PACS workstation are as accurate as the values obtained on a dedicated specialized workstation. ADC value measurement on the routine PACS will save time and lead to increased utilization, which, in turn, will lead to an improved understanding of the different disease processes and their clinical management.

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Year:  2011        PMID: 21343475     DOI: 10.2214/AJR.10.4706

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

1.  Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter- and intra-reader agreement study.

Authors:  Paola Clauser; Magda Marcon; Marta Maieron; Chiara Zuiani; Massimo Bazzocchi; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-07       Impact factor: 5.315

2.  Multi-tiered analysis of brain injury in neonates with congenital heart disease.

Authors:  Sarah B Mulkey; Christopher J Swearingen; Maria S Melguizo; Michael L Schmitz; Xiawei Ou; Raghu H Ramakrishnaiah; Charles M Glasier; G Bradley Schaefer; Adnan T Bhutta
Journal:  Pediatr Cardiol       Date:  2013-05-08       Impact factor: 1.655

3.  MR Imaging Grading System for Skull Base Chordoma.

Authors:  K Tian; L Wang; J Ma; K Wang; D Li; J Du; G Jia; Z Wu; J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

4.  Diagnostic Value of Diffusion-weighted Imaging and Apparent Diffusion Coefficient Values in the Differentiation of Breast Lesions, Histpathologic Subgroups and Correlatıon with Prognostıc Factors using 3.0 Tesla MR.

Authors:  Yasin Akın; M Ümit Uğurlu; Handan Kaya; Erkin Arıbal
Journal:  J Breast Health       Date:  2016-07-01

5.  The predictive capacity of apparent diffusion coefficient (ADC) in response assessment of brain metastases following radiation.

Authors:  Raphael Jakubovic; Stephanie Zhou; Chris Heyn; Hany Soliman; Liyang Zhang; Richard Aviv; Arjun Sahgal
Journal:  Clin Exp Metastasis       Date:  2016-01-19       Impact factor: 5.150

6.  Differentiation of malignant from benign soft tissue tumours: use of additive qualitative and quantitative diffusion-weighted MR imaging to standard MR imaging at 3.0 T.

Authors:  So-Yeon Lee; Won-Hee Jee; Joon-Yong Jung; Michael Y Park; Sun-Ki Kim; Chan-Kwon Jung; Yang-Guk Chung
Journal:  Eur Radiol       Date:  2015-06-17       Impact factor: 5.315

7.  Performance of Apparent Diffusion Coefficient Values and Conventional MRI Features in Differentiating Tumefactive Demyelinating Lesions From Primary Brain Neoplasms.

Authors:  Marc C Mabray; Benjamin A Cohen; Javier E Villanueva-Meyer; Francisco E Valles; Ramon F Barajas; James L Rubenstein; Soonmee Cha
Journal:  AJR Am J Roentgenol       Date:  2015-11       Impact factor: 3.959

8.  Apparent diffusion coefficient normalization of normal liver: Will it improve the reproducibility of diffusion-weighted imaging at different MR scanners as a new biomarker?

Authors:  Jie Zhu; Jie Zhang; Jia-Yin Gao; Jin-Ning Li; Da-Wei Yang; Min Chen; Cheng Zhou; Zheng-Han Yang
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

9.  Impaired Glymphatic Transport Kinetics Following Induced Acute Ischemic Brain Edema in a Mouse pMCAO Model.

Authors:  Jianying Zhang; Hongchen Zhao; Yang Xue; Yiqi Liu; Guohang Fan; He Wang; Qiang Dong; Wenjie Cao
Journal:  Front Neurol       Date:  2022-03-17       Impact factor: 4.003

10.  Phosphorous Magnetic Resonance Spectroscopy to Detect Regional Differences of Energy and Membrane Metabolism in Naïve Glioblastoma Multiforme.

Authors:  Lisa Maria Walchhofer; Ruth Steiger; Andreas Rietzler; Johannes Kerschbaumer; Christian Franz Freyschlag; Günther Stockhammer; Elke Ruth Gizewski; Astrid Ellen Grams
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

  10 in total

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