Literature DB >> 29571698

Perfusion MR imaging at 3-Tesla: Can it predict tumor grade and histologic necrosis rate of musculoskeletal sarcoma?

P A Gondim Teixeira1, A Renaud2, S Aubert3, M Ben Haj Amor2, Y-M Robin4, A Cotten5, L Ceugnart2.   

Abstract

PURPOSE: To identify quantitative perfusion parameters that are best associated with tumor grade and tumor necrosis at magnetic resonance (MR) imaging at 3-Tesla.
METHODS: MR perfusion studies of 31 patients with a musculoskeletal sarcoma were retrospectively evaluated by two readers. There were 18 men and 13 women with a mean age of 34.9±24.4 (standard deviation [SD] years) (range: 6-87 years). All patients underwent carcinologic tumor resection less than 3 months after MR imaging. For all patients six perfusion parameters (three semi-quantitative and three permeability parameters) were analyzed. The percentage of tumor necrosis was estimated using MR imaging. Perfusion data were compared between groups of tumors with different grades and necrosis ratios. Interobserver variability was calculated using intraclass correlation coefficient (ICC).
RESULTS: Interobserver variability among the perfusion parameters was good to excellent (ICC: 0.72-0.9). The area under the curve and maximum slope values showed a significant association with the degree of tumor necrosis (P=0.02-0.04). When tumors with low necrosis ratios were compared to those with high ratios the former parameter was 80% lower. In the same groups, the imaging necrosis index was 56.9-59.8% higher in patients with grade 2 necrosis (P=0.01). Extracellular space volume (Ve) was 31.4% to 55.8% lower in tumors with high grade while the backflow constant (Kep) was 33.6% to 40.1%% higher in tumors with high grade.
CONCLUSION: Semi-quantitative MR perfusion parameters have an excellent reproducibility and are associated with the degree of histologic tumor necrosis in musculoskeletal sarcomas. The utility of permeability parameters for determining tumor grade needs further investigations.
Copyright © 2018 Soci showét showé françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging (MRI); Musculoskeletal sarcoma; Neoplasm grading; Perfusion MR imaging; Tumor necrosis

Mesh:

Year:  2018        PMID: 29571698     DOI: 10.1016/j.diii.2018.02.005

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  3 in total

1.  A Cohort Study to Evaluate the Efficacy and Value of CT Perfusion Imaging in Patients with Metastatic Osteosarcoma after Chemotherapy.

Authors:  Chun Qian Zhang; Shuai Yang; Li Jing Zhang; Jian Nan Ma; De Qiang Chen
Journal:  Comput Math Methods Med       Date:  2022-07-19       Impact factor: 2.809

2.  Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma-A Translational Feasibility Study on Fusion Imaging.

Authors:  Madelaine Hettler; Julia Kitz; Ali Seif Amir Hosseini; Manuel Guhlich; Babak Panahi; Jennifer Ernst; Lena-Christin Conradi; Michael Ghadimi; Philipp Ströbel; Jens Jakob
Journal:  Cancers (Basel)       Date:  2022-09-05       Impact factor: 6.575

3.  What morphological MRI features enable differentiation of low-grade from high-grade soft tissue sarcoma?

Authors:  Sana Boudabbous; Marion Hamard; Essia Saiji; Karel Gorican; Pierre-Alexandre Poletti; Minerva Becker; Angeliki Neroladaki
Journal:  BJR Open       Date:  2022-06-22
  3 in total

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