Apparent diffusion coefficient values of mediastinal masses in children

Razek, Ahmed Abdel Khalek Abdel; Soliman, Nermin; Elashery, Rasha

doi:10.1016/j.ejrad.2011.03.008

Cited by 57 publications

(20 citation statements)

References 18 publications

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“…In children, the ADC value of malignant mediastinal tumors (0.91 ± 0.17 × 10 −3 mm 2 /s) is significantly different ( P = 0.001) from that of benign tumors (1.8 ± 0.33 × 10 −3 mm 2 /s). The cut-off ADC value used in differentiating malignant and benign mediastinal tumors in children is 1.2 × 10 −3 mm 2 /s with an accuracy of 93% [ 42 ] . Benign tumors, such as thymolipomas, exhibit low ADC values due to high fat content.…”

Section: Clinical Applicationsmentioning

confidence: 99%

Diffusion magnetic resonance imaging of chest tumors

Razek¹

2012

Cancer Imaging

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This review provides an overview of the current status of the published data on diffusion magnetic resonance (MR) imaging of chest tumors. Diffusion MR imaging is a non-invasive imaging technique that measures the differences in water mobility in different tissue microstructures and quantifies them based on the apparent diffusion coefficient. Diffusion MR imaging has been used for the characterization, grading and staging of lung cancer as well as for differentiating central tumors from post-obstructive consolidation. In addition, this technique helps in differentiating malignant from benign pulmonary and mediastinal tumors as well as in the characterization of pleural mesothelioma and effusion. Diffusion MR imaging can be incorporated into routine morphological MR imaging to improve radiologist confidence in image interpretation and to provide functional assessments of chest tumors during the same examination. Diffusion MR imaging could be used in the future as a functional imaging technique for tumors of the chest.

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Section: Clinical Applicationsmentioning

confidence: 99%

Diffusion magnetic resonance imaging of chest tumors

Razek¹

2012

Cancer Imaging

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“…Surgery combined with chemoradiotherapy is recommended as the first-line treatment for thymic carcinoma; while chemotherapy is more preferred for lymphoma ( 2 3 ). A biopsy is the gold standard, but it is invasive and may be associated with sampling error ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

A Whole-Tumor Histogram Analysis of Apparent Diffusion Coefficient Maps for Differentiating Thymic Carcinoma from Lymphoma

Zhang

Zhou

et al. 2018

Korean J Radiol

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ObjectiveTo assess the performance of a whole-tumor histogram analysis of apparent diffusion coefficient (ADC) maps in differentiating thymic carcinoma from lymphoma, and compare it with that of a commonly used hot-spot region-of-interest (ROI)-based ADC measurement.Materials and MethodsDiffusion weighted imaging data of 15 patients with thymic carcinoma and 13 patients with lymphoma were retrospectively collected and processed with a mono-exponential model. ADC measurements were performed by using a histogram-based and hot-spot-ROI-based approach. In the histogram-based approach, the following parameters were generated: mean ADC (ADCmean), median ADC (ADCmedian), 10th and 90th percentile of ADC (ADC10 and ADC90), kurtosis, and skewness. The difference in ADCs between thymic carcinoma and lymphoma was compared using a t test. Receiver operating characteristic analyses were conducted to determine and compare the differentiating performance of ADCs.ResultsLymphoma demonstrated significantly lower ADCmean, ADCmedian, ADC10, ADC90, and hot-spot-ROI-based mean ADC than those found in thymic carcinoma (all p values < 0.05). There were no differences found in the kurtosis (p = 0.412) and skewness (p = 0.273). The ADC10 demonstrated optimal differentiating performance (cut-off value, 0.403 × 10−3 mm2/s; area under the receiver operating characteristic curve [AUC], 0.977; sensitivity, 92.3%; specificity, 93.3%), followed by the ADCmean, ADCmedian, ADC90, and hot-spot-ROI-based mean ADC. The AUC of ADC10 was significantly higher than that of the hot spot ROI based ADC (0.977 vs. 0.797, p = 0.036).ConclusionCompared with the commonly used hot spot ROI based ADC measurement, a histogram analysis of ADC maps can improve the differentiating performance between thymic carcinoma and lymphoma.

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“…Other methods based on diffusion magnetic resonance (MR) imaging for detection, characterization, grading, and staging of lung cancer were presented. [ 32 – 35 ] Razek et al [ 32 ] demonstrated the correlation between the apparent diffusion coefficient (ADC) value and prognostic parameters of lung cancer in patients underwent diffusion weighted MRI. In this paper, ADC values of 31 patients with lung cancer were calculated and correlated with tumor grade and size as well as associated mediastinal lymph nodes.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Razek et al [ 34 ] concluded that ADC value is a noninvasive, reliable, and reproducible imaging parameter that may help to assess and characterize thymic epithelial tumors. Razek et al [ 35 ] also reported that there is a significant difference ( P < .001) in ADC of benign and malignant mediastinal lesions in children.…”

Section: Introductionmentioning

confidence: 99%

Correlation of quantified metabolic activity in nonsmall cell lung cancer with tumor size and tumor pathological characteristics

Bakhshayeshkaram¹,

Doroudinia²,

Behzadi³

et al. 2018

Medicine

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The aim of this study was to evaluate the relationship between maximum standardized uptake value (SUVmax) with tumor size and tumor pathological characteristics as well as suggesting equations between SUVmax and tumor size in patients with nonsmall cell lung cancer (NSCLC) to help differentiate between pathology types.We retrospectively analyzed the fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) findings of 98 patients with NSCLC. Statistical differences were considered significant when P < .05. Correlation between SUVmax and other variables was determined by Pearson and Spearman correlation. Both linear and nonlinear regression analysis were used to determine equations between SUVmax and tumor size to help differentiate between pathology types.The mean SUVmax in patients with squamous cell carcinoma was significantly higher than that of adenocarcinoma (21.35 ± 1.73 vs 13.75 ± 0.89, P = .000). The results of regression analysis indicated that among all equations determined with relative accuracy, the “cubic equation” has the highest accuracy when considering the relationship between SUVmax and tumor size in patients with adenocarcinoma. In patients with squamous cell carcinoma, the most accurate equation was obtained using the “quadratic equation.”There was a significant correlation between SUVmax and tumor differentiation and tumor size in patients with adenocarcinoma. SUVmax of patients with squamous cell carcinoma also had a significant correlation with tumor size. Overall SUVmax of patients with NSCLC could be predicted by tumor size value. In patients with squamous cell carcinoma compared with those with adenocarcinoma, SUVmax with less accuracy can be determined by tumor size. Linear regression analysis line slope can be used as an index for distinguishing adenocarcinoma from squamous cell carcinoma.

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Apparent diffusion coefficient values of mediastinal masses in children

Cited by 57 publications

References 18 publications

Diffusion magnetic resonance imaging of chest tumors

Diffusion magnetic resonance imaging of chest tumors

A Whole-Tumor Histogram Analysis of Apparent Diffusion Coefficient Maps for Differentiating Thymic Carcinoma from Lymphoma

Correlation of quantified metabolic activity in nonsmall cell lung cancer with tumor size and tumor pathological characteristics

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