High resolution quantitative relaxation and diffusion mri of three different experimental brain tumors in rat

Eis, Manfred; Els, Thomas; Hoehn‐Berlage, Mathias

doi:10.1002/mrm.1910340608

Cited by 111 publications

(79 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Majority of the patients were females (83.8%) in our study with a male to female ratio of 1:5 that correspond to that in reported literature (17) . Also, more number of malignant thyroid nodules were found in males (46%) compared to females (18%).…”

Section: Discussionsupporting

confidence: 90%

Differentiation Between Benign and Malignant Thyroid Nodule With Diffusion Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient Measurements and Its Histopathological Correlation

Noufal¹,

Ramakrishnan²,

Kurup³

et al. 2018

jemds

View full text Add to dashboard Cite

BACKGROUNDThe aetiology of thyroid nodules is diverse. Benign causes include the colloid nodule and the classical multinodular goiter. Occasionally, Hashimoto's thyroiditis and Grave's disease may present with nodularity. Malignant causes include thyroid cancer, lymphoma as well as metastasis to the thyroid glands. The objectives of the study were to compare ADC value of indeterminate thyroid nodules (includes TIRADS 3, 4 & 5) with their histopathology and then evaluate its role in differentiating malignant from benign thyroid nodules. MATERIALS AND METHODSThe prospective study was conducted in Department of Radiology and Imaging Sciences, Malabar Institute of Medical Sciences Ltd, Calicut, Kerala between 1 st October 2015 to 30 th March 2017, for a period of 18 months. The study population for analysis is the patients undergoing ultrasound thyroid, detected to have TIRADS 3, 4 and 5 lesions. All patients presenting with indeterminate thyroid nodule on ultrasonography in our hospital are subjected to MRI DW sequences the ADC was calculated. RESULTSA total of 80 patients with USG diagnosis of indeterminate thyroid nodule (TIRADS 3, 4 & 5) that came to the department before undergoing surgery were included in the study. For all these patients, T2 weighted MRI, diffusion weighted imaging and ADC mapping was done. Histopathology findings of each patient is collected and correlated with MRI findings to finalize the diagnosis. The sensitivity and specificity for various ADC values were calculated from ROC curve and it was noted the best ADC value for differentiating benign from malignant thyroid nodules according to our study is 1.745 with the highest sensitivity and specificity to qualify it as a screening test. The positive predictive value and negative predictive value when taking 1.745 as cut off ADC are 89.5% & and 98.4% respectively. The mean ADC of the malignant thyroid nodules (1.52± 0.23 x 10 -3 mm 2 /s) was significantly lower than that of the mean ADC of the benign thyroid nodules (2.25± 0.41 x 10 -3 mm 2 /s). Range of mean ADC value for benign lesions was 1.56 -3.33 and for malignant lesions was 0.96 -1.87. The proportion of cases with malignancy increases with decreasing ADC value. 17 out of 18 malignant cases were having an ADC value of less than 1.745 (Sensitivity -94.4%). CONCLUSIONThe study showed MRI with diffusion weighted imaging and ADC mapping is a promising tool in the armamentarium for the differentiation of benign and malignant thyroid nodules.

show abstract

Section: Discussionsupporting

confidence: 90%

Differentiation Between Benign and Malignant Thyroid Nodule With Diffusion Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient Measurements and Its Histopathological Correlation

Noufal¹,

Ramakrishnan²,

Kurup³

et al. 2018

jemds

View full text Add to dashboard Cite

show abstract

“…1-4) often assuming that reduced ADC reflects increased cellularity. However, while some studies have found a negative correlation between tumor ADC and cellularity (1,3), others have found no such correlation (4,5). The inconsistency most likely arises because ADC is a gross measurement that conflates various physiologic parameters, including cell density, size, shape, permeability, subcellular architecture, and vascular perfusion effects.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Quantification of Solid Tumor Microstructure Using VERDICT MRI

Walker‐Samuel²,

et al. 2014

View full text Add to dashboard Cite

There is a need for biomarkers that are useful for noninvasive imaging of tumor pathophysiology and drug efficacy. Through its use of endogenous water, diffusion-weighted MRI (DW-MRI) can be used to probe local tissue architecture and structure. However, most DW-MRI studies of cancer tissues have relied on simplistic mathematical models, such as apparent diffusion coefficient (ADC) or intravoxel incoherent motion (IVIM) models, which produce equivocal results on the relation of the model parameter estimate with the underlying tissue microstructure. Here, we present a novel technique called VERDICT (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumors) to quantify and map histologic features of tumors in vivo. VERDICT couples DW-MRI to a mathematical model of tumor tissue to access features such as cell size, vascular volume fraction, intra-and extracellular volume fractions, and pseudo-diffusivity associated with blood flow. To illustrate VERDICT, we used two tumor xenograft models of colorectal cancer with different cellular and vascular phenotypes. Our experiments visualized known differences in the tissue microstructure of each model and the significant decrease in cell volume resulting from administration of the cytotoxic drug gemcitabine, reflecting the apoptotic volume decrease. In contrast, the standard ADC and IVIM models failed to detect either of these differences. Our results illustrate the superior features of VERDICT for cancer imaging, establishing it as a noninvasive method to monitor and stratify treatment responses. Cancer Res; 74(7); 1902-12. Ó2014 AACR.

show abstract

“…DW-MRI derives its image contrast from differences in the motion of water molecules between tissues. In general, cancer tends to have more restricted diffusion than normal tissue, because of the higher cell densities and abundance of intra-and intercellular membranes in cancer [70,71] . These images can be acquired quickly without the administration of exogenous contrast medium.…”

Section: Diffusion-weighted Mrimentioning

confidence: 99%

Imaging in Prostate Cancer Diagnosis: Present Role and Future Perspectives

et al. 2011

View full text Add to dashboard Cite

Prostate cancer (PCa) remains a major health concern for the male population. Detection and primary diagnosis of PCa are based on digital rectal examination, serum prostate-specific antigen levels, and transrectal ultrasound (TRUS)-guided random biopsy. Moreover, the gold standard for detecting PCa, systematic biopsy, lacks sensitivity as well as grading accuracy. This review summarizes recent developments of ultrasonography modalities and functional magnetic resonance imaging (MRI) in the diagnosis of PCa. A comparison between the different methods is presented, including their clinical value and usefulness. It is concluded that innovative ultrasound techniques (including ultrasound contrast agents, 3-D and 4-D sonography, elastography and harmonic sonography) promise benefits in comparison to standard TRUS to accurately diagnose PCa. Promising advances have been made in the detection of PCa with multiparametric MRI. The combination of conventional and functional MRI techniques (including diffusion-weighted imaging, dynamic contrast-enhanced MRI, and MR spectroscopy) can provide information for differentiating PCa from noncancerous tissue and can be used for MRI-guided biopsies, especially in patients with persistent elevation of serum prostate-specific antigen and previous negative TRUS-guided biopsies. However, functional MRI technique and MRI-guided biopsy remain expensive and complex tools presenting inherent challenges.

show abstract

High resolution quantitative relaxation and diffusion mri of three different experimental brain tumors in rat

Cited by 111 publications

References 47 publications

Differentiation Between Benign and Malignant Thyroid Nodule With Diffusion Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient Measurements and Its Histopathological Correlation

Differentiation Between Benign and Malignant Thyroid Nodule With Diffusion Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient Measurements and Its Histopathological Correlation

Noninvasive Quantification of Solid Tumor Microstructure Using VERDICT MRI

Imaging in Prostate Cancer Diagnosis: Present Role and Future Perspectives

Contact Info

Product

Resources

About