Short-term follow-up MRI after unplanned resection of malignant soft-tissue tumours; quantitative measurements on dynamic contrast enhanced and diffusion-weighted MR images

Kim, Jeung Il; Lee, In Sook; Song, You Seon; Park, Se Kyoung; Choi, Kyung Un; Song, Ji Hyun

doi:10.1259/bjr.20160302

Cited by 9 publications

(15 citation statements)

References 26 publications

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“…Del Grande et al demonstrated the improved specificity of MRI by adding low ADC to conventional imaging features of relapse (52% to 97%) [ 111 ]. These results were confirmed by Kim et al, who reported a minimum ADC of 1.16 × 10 −3 mm 2 /s, a mean ADC of 1.38 × 10 −3 mm 2 /s, and a maximum ADC of 1.61 × 10 −3 mm 2 /s in residual STT after unplanned resection [ 112 ]. Nevertheless, authors also highlighted the lower accuracies of DWI metrics (61.7% minimum ADC, 72.8% mean ADC, 75.6% maximum ADC) compared to those of DCE-MRI parameters (89% K trans , 95.1% K ep , 90.9% iAUC) [ 112 ].…”

Section: Soft Tissue Tumorssupporting

confidence: 77%

Diffusion-Weighted Imaging in Oncology: An Update

Messina

Bignone

Bruno

et al. 2020

Cancers

125

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To date, diffusion weighted imaging (DWI) is included in routine magnetic resonance imaging (MRI) protocols for several cancers. The real additive role of DWI lies in the “functional” information obtained by probing the free diffusivity of water molecules into intra and inter-cellular spaces that in tumors mainly depend on cellularity. Although DWI has not gained much space in some oncologic scenarios, this non-invasive tool is routinely used in clinical practice and still remains a hot research topic: it has been tested in almost all cancers to differentiate malignant from benign lesions, to distinguish different malignant histotypes or tumor grades, to predict and/or assess treatment responses, and to identify residual or recurrent tumors in follow-up examinations. In this review, we provide an up-to-date overview on the application of DWI in oncology.

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Section: Soft Tissue Tumorssupporting

confidence: 77%

Diffusion-Weighted Imaging in Oncology: An Update

Messina

Bignone

Bruno

et al. 2020

Cancers

125

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“…DCE was performed during all MRI examinations at our institute, but quantitative analysis was performed only for the last follow-up. In agreement with previous studies of DCE, our case showed a slow, gradual enhancement on the dynamic enhancement curve (8). These features may also have been present early in the follow-up, and they could have helped in suggesting the benignity of the lesion.…”

Section: Discussionsupporting

confidence: 92%

“…Multiple recent publications have demonstrated the incremental value of DWI for distinguishing malignant soft tissue tumors from benign soft tissue tumors. Quantitative evaluation using the ADC value is the key method, although the cut-off value and diagnostic performance vary among studies (3,8). To date, only one study has specifically focused on DWI of CEH, and it reported a mean value of 1.55 × 10 -3 mm 2 /sec for CEH, which was significantly different from that of malignant soft tissue tumors (0.92 × 10 -3 mm 2 / sec) (3).…”

Section: Discussionmentioning

confidence: 99%

“…Qualitatively, presence of arterial enhancement on maximum intensity projection images and raw acquired time phases are evaluated (9). Quantitative analysis includes measurement of various parameters derived from DCE, such as the volume transfer constant between the blood plasma and the extracellular/extravascular space (K trans ), and inspection of the time-concentration curve plots (8). Its value for differentiating malignant soft tissue tumors from benign soft tissue tumors has been validated, but DCE features of CEH have not yet been published.…”

Section: Discussionmentioning

confidence: 99%

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Temporal Evolution of a Chronic Expanding Organizing Hematoma on MRI, Including Functional MR Imaging Techniques: a Case Report

Lee

et al. 2017

Investig Magn Reson Imaging

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Chronic expanding organizing hematoma (CEH), also known as chronic expanding hematoma, is a benign condition in which a hematoma does not undergo resorption, but rather it persists or even expands slowly. The term was first coined by Reid et al. (1), and the authors defined CEHs as hematomas that increase in size for over 1 month after the causative event. The clinical importance of this lesion arises from the fact that it often mimics malignant soft tissue neoplasms, both clinically and radiologically (2-4). Numerous studies have described the features of CEH on conventional MRI (2-4), but reports that present the findings on diffusion-weighted imaging (DWI) (3) and dynamic contrast-enhanced (DCE) imaging are rare. Herein, we illustrate an unusual case of CEH in which we could obtain regular, serial MRI scans, including DWI and DCE, for over 2 years. This case demonstrates the added value of DWI and DCE for differentiating CEH

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“…12,13 However, to the best of our knowledge, only a few reports have described the value of DCE-MRI in the differential diagnosis of soft-tissue tumors. 2,[14][15][16] These few reports have primarily focused on qualitative rather than quantitative analysis of DCE-MRI; thus, the results were subjective. The purpose of this study was to evaluate the potential of the semiquantitative and quantitative DCE-MRI parameters in the differential diagnosis of soft-tissue tumors.…”

Section: Introductionmentioning

confidence: 99%

Benign or Malignant Characterization of Soft-Tissue Tumors by Using Semiquantitative and Quantitative Parameters of Dynamic Contrast-Enhanced Magnetic Resonance Imaging

et al. 2020

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Purpose: To evaluate the efficacy of the semiquantitative and quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating between benign and malignant soft-tissue tumors. Methods: A total of 45 patients with pathologically confirmed soft-tissue tumors (15 benign and 30 malignant tumors) underwent DCE-MRI. The semiquantitative parameters assessed were as follows: time to peak (TTP), maximum concentration (MAX Conc), area under the curve of time-concentration curve (AUC-TC), and maximum rise slope (MAX Slope). Quantitative DCE-MRI was analyzed with the extended Tofts-Kety model to assess the following quantitative parameters: volume transfer constant (Ktrans), microvascular permeability reflux constant (Kep), and distribute volume per unit tissue volume (Ve). Data were evaluated using the independent t test or Mann-Whitney U test and receiver operating characteristic (ROC) curves. Results: The TTP ( P = .0035), MAX Conc ( P = .0018), AUC-TC ( P = .0018), MAX Slope ( P = .0018), Ktrans ( P = .0018), and Kep ( P = .0035) were significantly different between the benign and malignant soft-tissue tumors. The AUC of the ROC curve demonstrated the diagnostic potential of TTP (0.778), MAX Conc (0.849), AUC-TC (0.831), MAX Slope (0.847), Ktrans (0.836), Kep (0.778), and Ve (0.638). Conclusions: The use of semiquantitative and quantitative parameters of DCE-MRI enabled differentiation between benign and malignant soft-tissue tumors. The values of TTP were lower, while those of MAX Conc, AUC-TC, MAX Slope, Ktrans, and Kep were higher in malignant than in benign tumors.

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Short-term follow-up MRI after unplanned resection of malignant soft-tissue tumours; quantitative measurements on dynamic contrast enhanced and diffusion-weighted MR images

Abstract: . Short-term follow-up MRI after unplanned resection of malignant soft-tissue tumours; quantitative measurements on dynamic contrast enhanced and diffusion-weighted MR images. Br J Radiol 2016; 89: 20160302.

Cited by 9 publications

References 26 publications

Diffusion-Weighted Imaging in Oncology: An Update

Diffusion-Weighted Imaging in Oncology: An Update

Temporal Evolution of a Chronic Expanding Organizing Hematoma on MRI, Including Functional MR Imaging Techniques: a Case Report

Benign or Malignant Characterization of Soft-Tissue Tumors by Using Semiquantitative and Quantitative Parameters of Dynamic Contrast-Enhanced Magnetic Resonance Imaging

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