Literature DB >> 33778705

Gadolinium-based Contrast Agents Improve Detection of Recurrent Soft-Tissue Sarcoma at MRI.

Behrang Amini1, William A Murphy1, Tamara Miner Haygood1, Rajendra Kumar1, Kevin W McEnery1, John E Madewell1, Bilal M Mujtaba1, Wei Wei1, Colleen M Costelloe1.   

Abstract

Purpose: To determine the diagnostic efficacy of gadolinium-based contrast agents for the detection of recurrent soft-tissue sarcoma compared with non-contrast-enhanced conventional MRI sequences. Materials and
Methods: A retrospective study of patients with soft-tissue sarcomas who were imaged from January 2009 to December 2014 was performed. MRI studies from 69 patients (mean age, 61 years ± 15 [standard deviation], 45 men) with recurrent soft-tissue sarcoma and 63 age-, sex-, and tumor-matched controls with positive findings (nonrecurrence) were presented to six musculoskeletal radiologists at a tertiary cancer center in three image groupings. Group 1 consisted of precontrast T1-weighted and fat-suppressed T2-weighted images (no contrast agent). Group 2 consisted of precontrast and postcontrast fat-saturated T1-weighted images. Group 3 consisted of precontrast and fat-saturated postcontrast T1- and fat-suppressed T2-weighted images. Images within these three groups contained either recurrent soft-tissue sarcomas or positive postoperative findings (nonsarcoma). The presentation order of the first two image sets was reversed for half the readers. The readers were asked to classify presence of tumor on a five-point scale. The average score from the readers was used as consensus score for each case, and a case was considered positive if the average score was less than 3. Receiver operating characteristic (ROC) analysis was performed using the average score for each image set.
Results: Assessment of the group 3 image set resulted in higher sensitivity (74%, 95% confidence interval [CI]: 62%, 83%) than the group 2 image set (64%, 95% CI: 51%, 75%), which was also more sensitive than the assessment of the group 1 images set (49%, 95% CI: 37%, 61%), with P = .02 for both. There was no significant difference in specificity between the three groups. The area under the ROC curve (AUC) for the assessment of group 1 was 0.78 (95% CI: 0.70, 0.86), which was significantly lower than that of group 2, 0.92 (95% CI: 0.87, 0.96) and group 3, 0.93 (95% CI: 0.88, 0.97), with P values of .0006 and < .0001, respectively. There was no difference between the AUCs of groups 2 and 3 (P = .58).
Conclusion: Gadolinium-based contrast agents improved diagnostic performance in detection of recurrent soft-tissue sarcoma. Addition of fat-saturated T2-weighted images provided modest improvement in sensitivity.Keywords: Efficacy Studies, MR-Contrast Agent, Oncology, Soft Tissues/Skin© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778705      PMCID: PMC7983747          DOI: 10.1148/rycan.2020190046

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  12 in total

1.  Impact of clinical history on film interpretation.

Authors:  K S Song; H H Song; S H Park; K J Ahn; I K Yang; J Y Byun; J S Jeon; J Y Kim; B S Kim; G Y Lim
Journal:  Yonsei Med J       Date:  1992-06       Impact factor: 2.759

2.  Use of clinical history affects accuracy of interpretive performance of screening mammography.

Authors:  Patricia A Carney; Andrea J Cook; Diana L Miglioretti; Stephen A Feig; Erin Aiello Bowles; Berta M Geller; Karla Kerlikowske; Mark Kettler; Tracy Onega; Joann G Elmore
Journal:  J Clin Epidemiol       Date:  2011-10-15       Impact factor: 6.437

3.  ACR Appropriateness Criteria Follow-Up of Malignant or Aggressive Musculoskeletal Tumors.

Authors:  Catherine C Roberts; Mark J Kransdorf; Francesca D Beaman; Ronald S Adler; Behrang Amini; Marc Appel; Stephanie A Bernard; Ian Blair Fries; Isabelle M Germano; Bennett S Greenspan; Langston T Holly; Charlotte D Kubicky; Simon Shek-Man Lo; Timothy J Mosher; Andrew E Sloan; Michael J Tuite; Eric A Walker; Robert J Ward; Daniel E Wessell; Barbara N Weissman
Journal:  J Am Coll Radiol       Date:  2016-02-24       Impact factor: 5.532

4.  Progressive increase of T1 signal intensity of the dentate nucleus on unenhanced magnetic resonance images is associated with cumulative doses of intravenously administered gadodiamide in patients with normal renal function, suggesting dechelation.

Authors:  Yuri Errante; Vincenzo Cirimele; Carlo Augusto Mallio; Vincenzo Di Lazzaro; Bruno Beomonte Zobel; Carlo Cosimo Quattrocchi
Journal:  Invest Radiol       Date:  2014-10       Impact factor: 6.016

5.  [Staging and re-staging of soft tissue sarcoma using MRI. Usefulness of contrast media].

Authors:  A Barile; M Caulo; L Zugaro; E Di Cesare; M Gallucci; C Masciocchi
Journal:  Radiol Med       Date:  2001-06       Impact factor: 3.469

6.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

Authors:  E R DeLong; D M DeLong; D L Clarke-Pearson
Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

7.  Influence of availability of clinical history on detection of early stroke using unenhanced CT and diffusion-weighted MR imaging.

Authors:  Mark E Mullins; Michael H Lev; Dawid Schellingerhout; Walter J Koroshetz; R Gilberto Gonzalez
Journal:  AJR Am J Roentgenol       Date:  2002-07       Impact factor: 3.959

8.  Detection of soft-tissue sarcoma recurrence: added value of functional MR imaging techniques at 3.0 T.

Authors:  Filippo Del Grande; Ty Subhawong; Kristy Weber; Michael Aro; Charles Mugera; Laura M Fayad
Journal:  Radiology       Date:  2014-02-01       Impact factor: 11.105

9.  High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material.

Authors:  Tomonori Kanda; Kazunari Ishii; Hiroki Kawaguchi; Kazuhiro Kitajima; Daisuke Takenaka
Journal:  Radiology       Date:  2013-12-07       Impact factor: 11.105

10.  Influence of clinical history on MRI interpretation of optic neuropathy.

Authors:  Neil K Bansal; Mari Hagiwara; Maria J Borja; James Babb; Sohil H Patel
Journal:  Heliyon       Date:  2016-09-16
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