Diffusion-weighted echo-planar magnetic resonance imaging for the assessment of tumor cellularity in patients with soft-tissue sarcomas

2009 ◽  
Vol 29 (6) ◽  
pp. 1355-1359 ◽  
Author(s):  
Dirk Schnapauff ◽  
Martin Zeile ◽  
Manuel Ben Niederhagen ◽  
Barbara Fleige ◽  
Per-Ulf Tunn ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Echo Planar

Does non-echo-planar diffusion-weighted magnetic resonance imaging have a role in assisting the clinical diagnosis of cholesteatoma in selected cases?

2018 ◽  
Vol 132 (3) ◽  
pp. 207-213 ◽  
Author(s):  
R Nash ◽  
R K Lingam ◽  
D Chandrasekharan ◽  
A Singh
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Imaging Technique ◽  
Single Shot ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging ◽  
Operative Findings ◽  
Clinical Records ◽  
Echo Planar

AbstractObjective:To determine the diagnostic performance of diffusion-weighted magnetic resonance imaging in the assessment of patients with suspected, but not clinically evident, cholesteatoma.Methods:A retrospective analysis of a prospectively collected database of non-echo-planar diffusion-weighted magnetic resonance imaging studies (using a half-Fourier single-shot turbo-spin echo sequence) was conducted. Clinical records were retrospectively reviewed to determine indications for imaging and operative findings. Seventy-eight investigations in 74 patients with suspected cholesteatoma aged 5.7–79.2 years (mean, 41.7 years) were identified. Operative confirmation was available in 44 ears. Diagnostic accuracy of the imaging technique was calculated using operative findings as a ‘gold standard’. Sensitivity of the investigation was examined via comparison with clinically evident cholesteatoma.Results:The accuracy of diffusion-weighted magnetic resonance imaging in assessment of suspected cholesteatoma was 63.6 per cent. The imaging technique was significantly less accurate in assessment of suspected cholesteatoma than clinically evident disease (p< 0.001).Conclusion:Computed tomography and diffusion-weighted magnetic resonance imaging may be complementary in assessment of suspected cholesteatoma, but should be used with caution, and clinical judgement is paramount.

scholarly journals Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times

2021 ◽  
Vol 54 (3) ◽  
pp. 155-164
Author(s):  
Fernando Carrasco Ferreira Dionisio ◽  
Larissa Santos Oliveira ◽  
Mateus de Andrade Hernandes ◽  
Edgard Eduard Engel ◽  
Paulo Mazzoncini de Azevedo-Marques ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Dice Similarity Coefficient ◽  
Intraobserver Variability ◽  
Resonance Imaging ◽  
Semiautomatic Segmentation ◽  
Significant Difference ◽  
Degree Of Similarity

Abstract Objective: To evaluate the degree of similarity between manual and semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging (MRI). Materials and Methods: This was a retrospective study of 15 MRI examinations of patients with histopathologically confirmed soft-tissue sarcomas acquired before therapeutic intervention. Manual and semiautomatic segmentations were performed by three radiologists, working independently, using the software 3D Slicer. The Dice similarity coefficient (DSC) and the Hausdorff distance were calculated in order to evaluate the similarity between manual and semiautomatic segmentation. To compare the two modalities in terms of the tumor volumes obtained, we also calculated descriptive statistics and intraclass correlation coefficients (ICCs). Results: In the comparison between manual and semiautomatic segmentation, the DSC values ranged from 0.871 to 0.973. The comparison of the volumes segmented by the two modalities resulted in ICCs between 0.9927 and 0.9990. The DSC values ranged from 0.849 to 0.979 for intraobserver variability and from 0.741 to 0.972 for interobserver variability. There was no significant difference between the semiautomatic and manual modalities in terms of the segmentation times (p > 0.05). Conclusion: There appears to be a high degree of similarity between manual and semiautomatic segmentation, with no significant difference between the two modalities in terms of the time required for segmentation.

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