Diffusion-Weighted MRI Reflects Proliferative Activity in Primary CNS Lymphoma

Schob, Stefan; Meyer, Jonas; Gawlitza, Matthias; Frydrychowicz, Clara; Müller, Wolf; Preuß, Matthias; Buré, Lionel; Quäschling, Ulf; Hoffmann, Karl‐Titus; Surov, Alexey

doi:10.1371/journal.pone.0161386

Cited by 68 publications

(78 citation statements)

References 30 publications

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“…Thus—in accordance to other malignancies [11,28,29]—decreased ADC values are associated with an increased proliferation rate within thyroid cancer tissue.…”

Section: Discussionsupporting

confidence: 81%

Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer

Schob

Meyer

Dieckow

et al. 2017

IJMS

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Pre-surgical diffusion weighted imaging (DWI) is increasingly important in the context of thyroid cancer for identification of the optimal treatment strategy. It has exemplarily been shown that DWI at 3T can distinguish undifferentiated from well-differentiated thyroid carcinoma, which has decisive implications for the magnitude of surgery. This study used DWI histogram analysis of whole tumor apparent diffusion coefficient (ADC) maps. The primary aim was to discriminate thyroid carcinomas which had already gained the capacity to metastasize lymphatically from those not yet being able to spread via the lymphatic system. The secondary aim was to reflect prognostically important tumor-biological features like cellularity and proliferative activity with ADC histogram analysis. Fifteen patients with follicular-cell derived thyroid cancer were enrolled. Lymph node status, extent of infiltration of surrounding tissue, and Ki-67 and p53 expression were assessed in these patients. DWI was obtained in a 3T system using b values of 0, 400, and 800 s/mm2. Whole tumor ADC volumes were analyzed using a histogram-based approach. Several ADC parameters showed significant correlations with immunohistopathological parameters. Most importantly, ADC histogram skewness and ADC histogram kurtosis were able to differentiate between nodal negative and nodal positive thyroid carcinoma. Conclusions: histogram analysis of whole ADC tumor volumes has the potential to provide valuable information on tumor biology in thyroid carcinoma. However, further studies are warranted.

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“…Thus—in accordance to other malignancies [11,28,29]—decreased ADC values are associated with an increased proliferation rate within thyroid cancer tissue.…”

Section: Discussionsupporting

confidence: 81%

Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer

Schob

Meyer

Dieckow

et al. 2017

IJMS

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“…However, as shown by Schob et al, proliferative activity revealed by ADC was not related to the location of PCNSLs [23]. In accordance with the previous study, our research demonstrated no correlations between ADC min and the locations of PCNSLs.…”

Section: Discussionsupporting

confidence: 90%

“…Previous studies have shown a significant inverse correlation between tumor cell density and ADC value in PCNSLs, suggesting ADC to be a surrogate marker for tumor proliferation and Ki-67 index [23][24][25]. Barajas et al [11] reported that ADC measurements could predict clinical prognosis in patients with PCNSLs.…”

Section: Discussionmentioning

confidence: 99%

Performance of Diffusion and Perfusion MRI in Evaluating Primary Central Nervous System Lymphomas of Different Locations

Zhou

Kang

Lin

et al. 2020

Preprint

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Background: Diffusion and perfusion MRI can invasively define physical properties and angiogenic features of tumors, and guide the individual treatment. The purpose of this study was to investigate whether the diffusion and perfusion MRI parameters of primary central nervous system lymphomas (PCNSLs) are related to the tumor locations.Methods: We retrospectively reviewed the diffusion, perfusion, and conventional MRI of 68 patients with PCNSLs at different locations (group 1: cortical gray matter, group 2: white matter, group 3: deep gray matter). Relative maximum cerebral blood volume (rCBVmax) from perfusion MRI, minimum apparent diffusion coefficients (ADCmin) from DWI of each group were calculated and compared by one-way ANOVA test. In addition, we compared the mean apparent diffusion coefficients (ADCmean) in three different regions of control group.Results: The rCBVmax of PCNSLs yielded the lowest value in the white matter group, and the highest value in the cortical gray matter group (P < 0.001). However, the ADCmin of each subgroup was not statistically different. The ADCmean of each subgroup in control group was not statistically different.Conclusion: Our study confirms that rCBVmax of PCNSLs are related to the tumor location, and provide simple but effective information for guiding the clinical practice of PCNSLs.

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“…Low intratumoral ADC values are related to high cellularity (11). Furthermore, ADC values derived from various measurement methods (predominantly histogram analysis based parameters) had shown their potential in reflecting many histopathological features in different tumors (17,18,(28)(29)(30)(31). Meningiomas have a relatively higher density of tumor cells and high nucleus/cytoplasm ra- SIR was calculated by measuring the ratio of mean tumoral signal intensity of CPA meningioma and schwannoma to the intensity of occipital subcutaneous adipose tissue in T2WI.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic Efficacy of Signal Intensity Ratio and Apparent Diffusion Coefficient Measurements in Differentiating Cerebellopontine Angle Meningioma and Schwannoma

Er¹

2020

Erciyes Med J

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Objective: To investigate the efficacy of Signal Intensity Ratio (SIR) measurements of T2-weighted imaging (T2WI) and Apparent Diffusion Coefficient (ADC) values of ADC mapping in the differentiation of schwannomas and meningiomas originating from the CPA. Materials and Methods:A total of 30 patients who were pathologically diagnosed (16 meningiomas, 14 VS) were included in this retrospective study. SIR was calculated by proportioning regions of interests (ROIs) measurements of solid regions of the tumor and occipital subcutaneous adipose tissue in T2WI. In ADC maps, ADC min and ADC mean values were obtained by placing ROIs inside the solid parts of the tumor. Groups were statistically analyzed using the Mann-Whitney U test, independent-sample t-test, receiver operating characteristic (ROC) curve analyses, and Pearson correlation test.Results: SIR, ADC mean , and ADC min values were 0.61±0.08, 0.858±0.101x10 -3 mm 2 /s, 0.815±0.099x10 -3 mm 2 /s for meningioma group; and 0.80±0.12, 1.272±0.148x10 -3 mm 2 /s, 1.232±0.148x10 -3 mm 2 /s for VS group, respectively. These parameters were statistically lower in the meningioma group compared to the VS group (p<0.001 for all). A positive correlation was observed between SIR and ADC values among the total group (r=0.694, p<0.001 for both). ROC analysis showed that the diagnostic performance of ADC parameters was better than the SIR parameter in differentiating meningioma from VS. The cut-off values in differentiating meningioma and VS were determined as 1.027x10 -3 mm 2 /s for ADC mean and 0.980x10 -3 mm 2 /s for ADC min with 100% sensitivity. Conclusion:While both ADC and SIR values are useful in differentiating between VS and meningioma, ADC values have higher diagnostic efficacy compared to SIR.

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Diffusion-Weighted MRI Reflects Proliferative Activity in Primary CNS Lymphoma

Cited by 68 publications

References 30 publications

Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer

Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer

Performance of Diffusion and Perfusion MRI in Evaluating Primary Central Nervous System Lymphomas of Different Locations

Diagnostic Efficacy of Signal Intensity Ratio and Apparent Diffusion Coefficient Measurements in Differentiating Cerebellopontine Angle Meningioma and Schwannoma

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