The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions

Emad‐Eldin, Sally; Grace, Marie N.; Wahba, Manal H.; Abdella, Rana

doi:10.1016/j.ejrnm.2018.01.004

Cited by 5 publications

(12 citation statements)

References 24 publications

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“…The characteristics of the included studies (18 'adult' [11,12,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] and 16 'paediatric' studies [36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]) are provided in Table 1. The mean age of patients included was 10.8 years in the paediatric and 46.9 years in the adult studies.…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…An increased risk of malignancy was related to increased size of the lesion, increased wall thickness, presence and increased size of vegetation, mixed cystic and solid configuration, intermediate to high intensity on T2-weighted imaging, presence of contrast enhancement and of ascites or peritoneal implants. Six of the studies performed an analysis of the diagnostic performance of MR imaging [23,27,[29][30][31]34]. Criteria predictive of malignancy, sensitivity, specificity, PPV, NPV and accuracy, if provided, are depicted in Table 3.…”

Section: Mr Imagingmentioning

confidence: 99%

“…3 The flowchart summarises the search process with the number of studies included and excluded Eur Radiol (2020) 30:1166-1181 significant overlap, with values for benign masses varying between 1.16 and 2.03 × 10 −3 mm 2 /s, whereas the range of ADC values reported for malignant masses was 0.76 to 1.39 × 10 −3 mm 2 /s. Three of the included studies provided information on the diagnostic performance of DWI [23,25,31]. Nasr et al provided diagnostic performance of DWI solely, with sensitivity, specificity and accuracy of 100%, 75% and 87% respectively [23].…”

Section: Dwi-mr Imagingmentioning

confidence: 99%

“…Nasr et al provided diagnostic performance of DWI solely, with sensitivity, specificity and accuracy of 100%, 75% and 87% respectively [23]. Emad-Eldin et al and Mansour et al demonstrated sensitivity, specificity and accuracy of DWI additional to MR imaging of 100% and 93.3%; 96.77% and 85%; and 98.46% and 82.3% respectively [25,31]. The diagnostic performance of specific ADC cut-off values, if provided, is shown in Table 4.…”

Section: Dwi-mr Imagingmentioning

confidence: 99%

“…Nine studies investigated the value of DCE-MRI in the differential diagnosis of ovarian masses [11,12,22,23,25,28,[30][31][32]. Data on the TICs and semi-quantitative DCE parameters are depicted in Table 5, as well as diagnostic performance of this sequence and accompanying TICs.…”

Section: Dce-mr Imagingmentioning

confidence: 99%

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MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review

et al. 2019

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Objectives The use of magnetic resonance (MR) imaging in differentiation between benign and malignant adnexal masses in children and adolescents might be of great value in the diagnostic workup of sonographically indeterminate masses, since preserving fertility is of particular importance in this population. This systematic review evaluates the diagnostic value of MR imaging in children with an ovarian mass. Methods The review was made according to the PRISMA Statement. PubMed and EMBASE were systematically searched for studies on the use of MR imaging in differential diagnosis of ovarian masses in both adult women and children from 2008 to 2018.Results Sixteen paediatric and 18 adult studies were included. In the included studies, MR imaging has shown good diagnostic performance in differentiating between benign and malignant ovarian masses. MR imaging techniques including diffusionweighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to further improve the diagnostic performance. Conclusion The addition of DWI with apparent diffusion coefficient (ADC) values measured in enhancing components of solid lesions and DCE imaging may further increase the good diagnostic performance of MR imaging in the pre-operative differentiation between benign and malignant ovarian masses by increasing specificity. Prospective age-specific studies are needed to confirm the high diagnostic performance of MR imaging in children and adolescents with a sonographically indeterminate ovarian mass. Key Points • MR imaging, based on several morphological features, is of good diagnostic performance in differentiating between benign and malignant ovarian masses. Sensitivity and specificity varied between 84.8 to 100% and 20.0 to 98.4%, respectively. • MR imaging techniques like diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to improve the diagnostic performance. • Specific studies in children and adolescents with ovarian masses are required to confirm the suggested increased diagnostic performance of DWI and DCE in this population.

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Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Mr Imagingmentioning

confidence: 99%

Section: Dwi-mr Imagingmentioning

confidence: 99%

Section: Dwi-mr Imagingmentioning

confidence: 99%

Section: Dce-mr Imagingmentioning

confidence: 99%

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MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review

et al. 2019

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Comparison of conventional diffusion-weighted imaging, diffusion kurtosis imaging and intravoxel incoherent motion in characterization of sonographically indeterminate adnexal masses

Kaur,

Manchanda,

Sharma

et al. 2024

Abdom Radiol

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Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for malignant ovarian tumors: a systematic review and meta-analysis

et al. 2020

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Background Accurate preoperative diagnosis of malignant ovarian tumors (MOTs) is particularly important for selecting the optimal treatment strategy and avoiding overtreatment. Purpose To evaluate the diagnostic efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for MOTs. Material and Methods A systematic search was performed in PubMed, Embase, the Cochrane Library, and Web of Science databases to find relevant original articles up to October 2019. The included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Studies on the diagnosis of MOTs with quantitative or semi-quantitative DCE-MRI were analyzed separately. The bivariate random-effects model was used to assess the diagnostic authenticity. Meta-regression analyses were performed to analyze the potential heterogeneity. Results For semi-quantitative DCE-MRI, the pooled sensitivity, specificity, positive likelihood ratio (LR), negative LR, diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic curves (AUC) were 85% (95% confidence interval [CI] 0.75–0.92), 85% (95% CI 0.77–0.91), 5.8 (95% CI 3.8–8.8), 0.17 (95% CI 0.10–0.30), 33 (95% CI 18–61), and 0.92 (95% CI 0.89–0.94), respectively. For quantitative DCE-MRI, the pooled sensitivity, specificity, positive LR, negative LR, DOR, and AUC were 88% (95% CI 0.65–0.96), 93% (95% CI 0.78–0.98), 12.3 (95% CI 3.4–43.9), 0.13 (95% CI 0.04–0.45), 91 (95% CI 10–857), and 0.96 (95% CI 0.94–0.98), respectively. Conclusion DCE-MRI has great diagnostic value for MOTs. Semi-quantitative DCE-MRI may be a relatively mature approach; however, quantitative DCE-MRI appears to be more promising than semi-quantitative DCE-MRI.

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The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions

Cited by 5 publications

References 24 publications

MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review

MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review

Comparison of conventional diffusion-weighted imaging, diffusion kurtosis imaging and intravoxel incoherent motion in characterization of sonographically indeterminate adnexal masses

Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for malignant ovarian tumors: a systematic review and meta-analysis

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