Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors

Dodin, Gauthier; Salleron, Julia; Jendoubi, Salma; Arab, Waled Abou; Sirveaux, François; Blum, Alain; Teixeira, Pedro Augusto Gondim

doi:10.1007/s00330-020-07190-0

Cited by 13 publications

(3 citation statements)

References 39 publications

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“…Considering that the shape of the ROI might have an impact on ADC values, two ROI methods on the largest tumor slice were selected, and the results showed that the oval ROI method had a better reproducibility than the freehand ROI method (ICC, 0.962 vs. 0.917). In a study of soft tissue tumors, Dodin et al 23 have noted that the oval ROI method was more practical and reproducible than the freehand ROI method for ADC measurement, which is consistent with the present findings.…”

Section: Discussionsupporting

confidence: 91%

Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning

Yang

Fang

Tao

et al. 2022

Magnetic Resonance Imaging

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Background: Diffusion-weighted imaging (DWI) has demonstrated great potential in predicting the expression of tumor cell proliferation and apoptosis indexes. Purpose: To evaluate the impact of four region of interest (ROI) methods on interobserver variability and apparent diffusion coefficient (ADC) values and to examine the correlation of ADC values with Ki-67, Bcl-2, and P53 labeling indexes (LIs) in a murine model of fibrosarcoma. Study Type: Prospective, animal model. Animal Model: A total of 22 female BALB/c mice bearing intramuscular fibrosarcoma xenografts. Field Strength/Sequence: A 3.0 T/T1-weighted fast spin-echo (FSE), T2-weighted fast relaxation fast spin-echo, and DWI PROPELLER FSE sequences. Assessment: Four radiologists measured ADC values using four ROI methods (oval, freehand, small-sample, and wholevolume). Immunohistochemical assessment of Ki-67, Bcl-2, and P53 LIs was performed. Statistical Tests: Interclass correlation coefficient (ICC), one-way analysis of variance followed by LSD-t post hoc analysis, and Pearson correlation test were performed. The statistical threshold was defined as a P-value of <0.05. Results: All ROI methods for ADC measurements showed excellent interobserver agreement (ICC range, 0.832-0.986). The ADC values demonstrated significant differences among the four ROI methods. The ADC values for oval, freehand, small-sample, and whole-volume ROI methods showed a moderately negative correlation with Ki-67 (r = À0.623; r = À0.629; r = À0.642, and r = À0.431) and Bcl-2 (r = À0.590; r = À0.597; r = À0.659, and r = À0.425) LIs, but no correlation with P53 LI (r = 0.364, P = 0.104; r = 0.350, P = 0.120; r = 0.379, P = 0.091; r = 0.390, P = 0.080). Data Conclusion:The ADC value can be used to evaluate cell proliferation and apoptosis indexes in a murine model of fibrosarcoma, employing the small-sample ROI as a reliable method.

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Section: Discussionsupporting

confidence: 91%

Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning

Yang

Fang

Tao

et al. 2022

Magnetic Resonance Imaging

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“…Figure 1 shows a flow diagram summarizing the literature search process. Ultimately, 18 studies [9,15,20,23,[28][29][30][31][32][33][34][35][36][37][38][39][40][41] that met the eligibility criteria were included in our meta-analysis (13 studies evaluated standard DWI, 3 studies evaluated IVIM DWI, 1 study evaluated both IVIM and DKI, and 1 study evaluated DKI).…”

Section: Literature Researchmentioning

confidence: 99%

Diagnostic Performance of Diffusion MRI for differentiating Benign and Malignant Nonfatty Musculoskeletal Soft Tissue Tumors: A Systematic Review and Meta-analysis

Wang¹,

Xiao²,

Liang³

et al. 2021

J. Cancer

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Objective: To evaluate the diagnostic performance of standard diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI), for differentiating benign and malignant soft tissue tumors (STTs). Materials and methods: A thorough search was carried out to identify suitable studies published up to September 2020. The quality of the studies involved was evaluated using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The pooled sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic (SROC) curve were calculated using bivariate mixed effects models. A subgroup analysis was also performed to explore the heterogeneity. Results: Eighteen studies investigating 1319 patients with musculoskeletal STTs (malignant, n =623; benign, n =696) were enrolled. Thirteen standard DWI studies using the apparent diffusion coefficient (ADC) showed that the pooled SEN and SPE of ADC were 0.80 (95% CI: 0.77-0.82) and 0.63 (95% CI: 0.60-0.67), respectively. The area under the curve (AUC) calculated from the SROC curve was 0.806. The subgroup analysis indicated that the percentage of myxoid malignant tumors, magnet strength, study design, and ROI placement were significant factors affecting heterogeneity. Four IVIM studies showed that the AUCs calculated from the SROC curves of the parameters ADC and D were 0.859 and 0.874, respectively. The AUCs for the IVIM parameters pseudo diffusion coefficient (D*) and perfusion fraction (f) calculated from the SROC curve were 0.736 and 0.573, respectively. Two DKI studies showed that the AUCs of the DKI parameter mean kurtosis (MK) were 0.97 and 0.89, respectively. Conclusion: The DWI-derived ADC value and the IVIM DWI-derived D value might be accurate tools for discriminating musculoskeletal STTs, especially for non-myxoid SSTs, using more than two b values, with maximal b value ranging from 600 to 800 s/mm 2 , additionally, a high-field strength (3.0 T) optimizes the diagnostic performance.

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“…Dynamic-Contrast-Enhanced (DCE) imaging has shown great potential for diagnosis and prediction of patient's response to treatments [1][2][3][4][5][6][7]. As DCE data depend on the microcirculation characteristics of the tissue, it is a suitable technique to detect microcirculation disorders associated with pathologies such as tumors or ischemia.…”

Section: Introductionmentioning

confidence: 99%

A free time point model for dynamic contrast enhanced exploration

Julie

Ikram

Mailyn

et al. 2021

Magnetic Resonance Imaging

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Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors

Cited by 13 publications

References 39 publications

Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning

Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning

Diagnostic Performance of Diffusion MRI for differentiating Benign and Malignant Nonfatty Musculoskeletal Soft Tissue Tumors: A Systematic Review and Meta-analysis

A free time point model for dynamic contrast enhanced exploration

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