Lymphomas and High-Grade Astrocytomas: Comparison of Water Diffusibility and Histologic Characteristics

Guo, Alexander C.; Cummings, Thomas J.; Dash, Rajesh; Provenzale, James M.

doi:10.1148/radiol.2241010637

Cited by 633 publications

(456 citation statements)

References 18 publications

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“…Cellularity is believed to be the principal reason for the restricted diffusion observed within malignancies. [23][24][25] It is generally possible to differentiate clear cell RCC from UC. Clear cell RCC is a well-defined mass with expansive growth.…”

Section: Discussionmentioning

confidence: 99%

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Sasamori

Saiki

Suyama

et al. 2014

MRMS

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Purpose: We assessed the usefulness of apparent diffusion coefficients (ADCs) for solid renal tumor imaging using diffusion-weighted magnetic resonance imaging (DWI) at 3T.Methods: This retrospective study assessed ADCs of 31 patients with renal tumors that were imaged using preoperative DWI. DWI was performed with the b values of 50, 500, and 1000 s/mm 2 , using a 3T magnetic resonance imaging (MRI) system (MAGNETOM Trio, 3T, Siemens Healthcare, Erlangen, Germany). The ADC map was calculated using the b values of 50 and 1000 s/mm 2 . ADCs of the different tumors were compared according to the Tukey-Kramer test.Results: The tumors were diagnosed as clear cell renal cell carcinoma (RCC; n = 20), papillary RCC (n = 1), infiltrating urothelial carcinoma (UC) of the kidney (n = 4), cystic RCC (n = 1), poorly differentiated carcinoma (n = 1), and angiomyolipoma (AML; n = 4). The mean ADC of clear cell RCC was significantly higher than that of infiltrating UC of the kidney (1.423 vs. 0.931 © 10 ¹3 mm 2 /s; P < 0.05), and the mean ADC of AML was significantly lower than that of clear cell RCC (0.674 vs. 1.423 © 10 ¹3 mm 2 /s; P < 0.01). Conclusion: ADCs used in DWI at 3T may be useful for differentiation of different types of solid renal tumors.

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Section: Discussionmentioning

confidence: 99%

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Sasamori

Saiki

Suyama

et al. 2014

MRMS

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“…With higher diffusivity found in the extracellular volume, the increase of intracellular space due to highly cellular tissue is coupled with a decrease of the ADC. Higher cellularity in recurrent neoplasm would contribute to the lower ADC values [8,9].…”

Section: Discussionmentioning

confidence: 99%

ADC is not reliable in determinating subtypes of meningiomas

Ignjatović

Stojanov²,

Stojanović³

et al. 2014

Open Medicine

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“…Diffusion MRI detection of cancer treatment response was first successfully reported in a rodent brain tumor model treated with chemotherapy (13). The hypothesis underlying this approach is that changes in tumor water diffusion occur after successful treatment that can be attributed to changes in cell density (13)(14)(15)(16)(17)(18)(19), resulting from necrosis and͞or apoptotic processes (Fig. 1A).…”

mentioning

confidence: 99%

Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response

Moffat

Chenevert

Lawrence

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

592

477

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Assessment of radiation and chemotherapy efficacy for brain cancer patients is traditionally accomplished by measuring changes in tumor size several months after therapy has been administered. The ability to use noninvasive imaging during the early stages of fractionated therapy to determine whether a particular treatment will be effective would provide an opportunity to optimize individual patient management and avoid unnecessary systemic toxicity, expense, and treatment delays. We investigated whether changes in the Brownian motion of water within tumor tissue as quantified by using diffusion MRI could be used as a biomarker for early prediction of treatment response in brain cancer patients. Twenty brain tumor patients were examined by standard and diffusion MRI before initiation of treatment. Additional images were acquired 3 weeks after initiation of chemo-and͞or radiotherapy. Images were coregistered to pretreatment scans, and changes in tumor water diffusion values were calculated and displayed as a functional diffusion map (fDM) for correlation with clinical response. Of the 20 patients imaged during the course of therapy, 6 were classified as having a partial response, 6 as stable disease, and 8 as progressive disease. The fDMs were found to predict patient response at 3 weeks from the start of treatment, revealing that early changes in tumor diffusion values could be used as a prognostic indicator of subsequent volumetric tumor response. Overall, fDM analysis provided an early biomarker for predicting treatment response in brain tumor patients. diffusion MRI ͉ therapeutic response

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Lymphomas and High-Grade Astrocytomas: Comparison of Water Diffusibility and Histologic Characteristics

Abstract: Measurements of water diffusivity and cellularity suggest that higher cellularity contributes to more restricted diffusion.

Cited by 633 publications

References 18 publications

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

ADC is not reliable in determinating subtypes of meningiomas

Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response

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