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Impact of Dynamic Contrast Enhanced and Diffusion‐Weighted MR Imaging on Detection of Early Local Recurrence of Soft Tissue Sarcoma
Author(s) -
Erber Bernd M.,
Reidler Paul,
Goller Sophia S.,
Ricke Jens,
Dürr Hans R.,
Klein Alexander,
Lindner Lars,
Di Gioia Dorit,
Geith Tobias,
BaurMelnyk Andrea,
Armbruster Marco
Publication year - 2023
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.28236
Subject(s) - medicine , receiver operating characteristic , diffusion mri , nuclear medicine , radiology , soft tissue sarcoma , magnetic resonance imaging , kappa , area under the curve , sarcoma , soft tissue , pathology , mathematics , geometry
Background Diagnosis of residual or recurrent tumor in soft‐tissue sarcomas (STS) is a differential diagnostic challenge since post‐therapeutic changes impede diagnosis. Purpose To evaluate the diagnostic accuracy of quantitative dynamic contrast enhanced (DCE)‐MRI and diffusion‐weighted imaging (DWI) to detect local recurrence of STS of the limb. Study Type Prospective. Population A totalof 64 consecutive patients with primary STS of the limbs were prospectively included 3–6 months after surgery between January 2016 and July 2021. Field Strength/Sequence A 1.5 T; axial DWI echo‐planar imaging sequences and DCE‐MRI using a 3D T1 ‐weighted spoiled gradient‐echo sequence. Assessment The quantitative DCE‐MRI parameters relative plasma flow (rPF) and relative mean transit time (rMTT) were calculated and ADC mapping was used to quantify diffusion restriction. Regions of interest of tumor growth and postoperative changes were drawn in consensus by two experts for diffusion and perfusion analysis. An additional morphological assessment was done by three independent and blinded radiologists. Statistical Test Unpaired t ‐test, ROC‐analysis, and a logistic regression model were applied. Interobserver reliability was calculated using Fleiss kappa statistics. A P value of 0.05 was considered statistically significant. Results A total of 11 patients turned out to have local recurrence. rPF was significantly higher in cases of local recurrence when compared to cases without local recurrence (61.1–4.5) while rMTT was slightly and significantly lower in local recurrence. ROC‐analysis showed an area under the curve (AUC) of 0.95 (SEM ± 0.05) for rPF while a three‐factor multivariate logistic regression model showed a high diagnostic accuracy of rPF ( R 2 = 0.71). Compared with morphological assessment, rPF had a distinct higher specificity and true positive value in detection of LR. Data Conclusion DCE‐MRI is a promising additional method to differentiate local recurrence from benign postoperative changes in STS of the limb. Especially specificity in detection of LR is increased compared to morphological assessment. Evidence Level 1 Technical Efficacy Stage 2