scholarly journals Quantitative evaluation of computed and voxelwise computed diffusion-weighted imaging in breast cancer

2019 ◽  
Vol 92 (1100) ◽  
pp. 20180978
Author(s):  
Qingyuan Cheng ◽  
Shuxin Ye ◽  
Chuqi Fu ◽  
Jiejie Zhou ◽  
Xiaxia He ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diffusion Weighted Imaging ◽  
Signal To Noise Ratio ◽  
Contrast Ratio ◽  
B Value ◽  
B Values ◽  
Diffusion Weighted ◽  
Malignant Lesions ◽  
The Mean ◽  
Age Range

Objectives: To assess the value of computed diffusion-weighted imaging (cDWI) and voxelwise computed diffusion-weighted imaging (vcDWI) in breast cancer. Methods: This retrospective study involved 130 patients (age range, 25–70 years; mean age ± standard deviation, 48.6 ± 10.5 years) with 130 malignant lesions, who underwent MRI examinations, including a DWI sequence, prior to needle biopsy or surgery. cDWIs with higher b-values of 1500, 2000, 2500, 3000, 3500, and 4000 s/mm2, and vcDWI were generated from measured (m) DWI with two lower b-values of 0/600, 0/800, or 0/1000 s/mm2. The signal-to-noise ratio (SNR) and contrast ratio (CR) of all image sets were computed and compared among different DWIs by two experienced radiologists independently. To better compare the CR with the SNR, the CR value was multiplied by 100 (CR100). Results: The CR of vcDWI, and cDWIs, except for cDWI1000, differed significantly from that of measured diffusion-weighted imaging (mDWI) (cDWI1000: CR = 0.4904, p = 0.394; cDWI1500: CR = 0.5503, p = 0.006; cDWI2000: CR = 0.5889, p < 0.001; cDWI2500: CR = 0.6109, p < 0.001; cDWI3000: mean = 0.6214, p < 0.001; cDWI3500: CR = 0.6245, p < 0.001; cDWI4000: CR = 0.6228, p < 0.001). The vcDWI provided the highest CR, while the CRs of all cDWI image sets improved with increased b-values. The SNR of neither cDWI1000 nor vcDWI differed significantly from that of mDWI, but the mean SNRs of the remaining cDWIs were significantly lower than that of mDWI. The SNRs of cDWIs declined with increasing b-values, and the initial decrease at low b-values was steeper than the gradual attenuation at higher b-values; the CR100 rose gradually, and the two converged on the b-value interval of 1500–2000 s/mm2 . Conclusions: The highest CR was achieved with vcDWI; this could be a promising approach easier detection of breast cancer. Advances in knowledge: This study comprehensively compared and evaluated the value of the emerging post-processing DWI techniques (including a set of cDWIs and vcDWI) in breast cancer.

Ultra-High b-Value Diffusion-Weighted Imaging–Based Abbreviated Protocols for Breast Cancer Detection

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sabine Ohlmeyer ◽  
Frederik Bernd Laun ◽  
Sebastian Bickelhaupt ◽  
Theresa Palm ◽  
Rolf Janka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
Breast Cancer Detection ◽  
High B Value ◽  
Diffusion Weighted

Diffusion-weighted imaging (b value = 1500 s/mm2) is useful to decrease false-positive breast cancer cases due to fibrocystic changes

Breast Cancer ◽  
2011 ◽  
Vol 20 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Miho Ochi ◽  
Toshiro Kuroiwa ◽  
Shunya Sunami ◽  
Junji Murakami ◽  
Shinichiro Miyahara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
False Positive ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
Diffusion Weighted ◽  
Positive Breast Cancer

scholarly journals ADC-Based Stratification of Molecular Glioma Subtypes Using High b-Value Diffusion-Weighted Imaging

2021 ◽  
Vol 10 (16) ◽  
pp. 3451
Author(s):  
Nils C. Nuessle ◽  
Felix Behling ◽  
Ghazaleh Tabatabai ◽  
Salvador Castaneda Vega ◽  
Jens Schittenhelm ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Mean Diffusivity ◽  
Area Under The Curve ◽  
B Value ◽  
Diffusion Kurtosis Imaging ◽  
B Values ◽  
High B Value ◽  
Diffusion Weighted ◽  
Apparent Diffusion

Purpose: To investigate the diagnostic performance of in vivo ADC-based stratification of integrated molecular glioma grades. Materials and methods: Ninety-seven patients with histopathologically confirmed glioma were evaluated retrospectively. All patients underwent pre-interventional MRI-examination including diffusion-weighted imaging (DWI) with implemented b-values of 500, 1000, 1500, 2000, and 2500 s/mm2. Apparent Diffusion Coefficient (ADC), Mean Kurtosis (MK), and Mean Diffusivity (MD) maps were generated. The average values were compared among the molecular glioma subgroups of IDH-mutant and IDH-wildtype astrocytoma, and 1p/19q-codeleted oligodendroglioma. One-way ANOVA with post-hoc Games-Howell correction compared average ADC, MD, and MK values between molecular glioma groups. A Receiver Operating Characteristic (ROC) analysis determined the area under the curve (AUC). Results: Two b-value-dependent ADC-based evaluations presented statistically significant differences between the three molecular glioma sub-groups (p < 0.001, respectively). Conclusions: High-b-value ADC from preoperative DWI may be used to stratify integrated molecular glioma subgroups and save time compared to diffusion kurtosis imaging. Higher b-values of up to 2500 s/mm2 may present an important step towards increasing diagnostic accuracy compared to standard DWI protocol.

Hidden Infarcts Detected by a High b-Value Diffusion-Weighted Imaging: A Parameter-Optimized Study

2019 ◽  
Vol 9 (2) ◽  
pp. 308-313
Author(s):  
Xiubao Song ◽  
Xi Xu ◽  
Yufeng Ye ◽  
Jianye Liang ◽  
Mengjie Ma ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Diffusion Weighted Imaging ◽  
Contrast Ratio ◽  
B Value ◽  
Acute Cerebral Infarction ◽  
Matrix Size ◽  
Diffusion Weighted ◽  
The Matrix ◽  
Adc Values ◽  
Noise Ratio

Objective: Small infarcts are easily missed on conventional sequences or a standard b-value diffusion-weighted imaging (DWI). This study aims to investigate the signal characteristics of DWI with different b-values and matrixes in acute cerebral infarction, and evaluate the feasibility of high b-values used in DWI. Methods: Twenty-nine cases of clinically diagnosed acute cerebral infarction were included prospectively in this study. The patients underwent MRI examinations, including routine T1WI, T2WI, T2 Flair, and different b-value DWIs (b = 1000, 1500, and 2000 s/mm2 with matrix 160 × 160. In addition, b = 1000 DWI was divided into two groups with different matrixes of 128 × 128 and 160 × 160. The differences of the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast ratio (CR), and apparent diffusion coefficient (ADC) values between the different b-values and matrixes DWI were compared. Results: Visually, b =1500 and b = 2000 DWI showed more scattering and micro-lesions than a standard DWI. The lesions shown in the high b-value DWI were more conspicuous and brighter. Quantitatively, with the increase in b-values, the SNR, CNR, and ADC values decreased gradually, but the CR increased gradually. With a reduction in the matrix size, the SNR and CNR improved (all the results were statistically significant with good inter-observer reliability). Conclusions: A high b-value for DWI is beneficial for the detection of micro- and hyperacute infarction, but the image quality declines. However, reducing the matrix size appropriately could make up for this deficiency.

scholarly journals Renal Diffusion-Weighted Imaging in Healthy Dogs: Reproducibility, Test-Retest Repeatability, and Selection of the Optimal b-value Combination

2021 ◽  
Vol 8 ◽  
Author(s):  
Sang-Kwon Lee ◽  
Juryeoung Lee ◽  
Seolyn Jang ◽  
Eunji Lee ◽  
Chang-Yeop Jeon ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Intraclass Correlation ◽  
B Value ◽  
Adc Value ◽  
B Values ◽  
Intraobserver Reproducibility ◽  
Diffusion Weighted ◽  
Pure Diffusion ◽  
Healthy Dogs

Diffusion-weighted imaging (DWI) magnetic resonance imaging can evaluate alterations in the microstructure of the kidney. The purpose of this study was to assess the apparent diffusion coefficient (ADC) and the intravoxel incoherent motion model (IVIM) parameters of a normal kidney in healthy dogs, to evaluate the effect of b-value combinations on the ADC value, and the reproducibility and test-retest repeatability in monoexponential and IVIM analysis. In this experimental study, the ADC, pure diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (fp) were measured from both kidneys in nine healthy beagles using nine b-values (b = 0, 50, 70, 100, 150, 200, 500, 800, and 1,000 s/mm2) twice with a 1-week interval between measurements. Interobserver and intraobserver reproducibility, and test-retest repeatability of the measurements were calculated. ADC values were measured using 10 different b-value combinations consisting of three b-values each, and were compared to the ADC obtained from nine b-values. All the ADC, D, D*, and fp values measured from the renal cortex, medulla, and the entire kidney had excellent interobserver and intraobserver reproducibility, and test-retest repeatability. The ADC obtained from a b-value combination of 0, 100, and 800 s/mm2 had the highest intraclass correlation coefficient with the ADC from nine b-values. The results of this study indicated that DWI MRI using multiple b-values is feasible for the measurement of ADC and IVIM parameters with high reproducibility and repeatability in the kidneys of healthy dogs. A combination of b = 0, 100, and 800 s/mm2 can be used for ADC measurements when multiple b-values are not available in dogs.

scholarly journals Diagnostic Benefit of High b-Value Computed Diffusion-Weighted Imaging in Patients with Hepatic Metastasis

2021 ◽  
Vol 10 (22) ◽  
pp. 5289
Author(s):  
Maxime Ablefoni ◽  
Hans Surup ◽  
Constantin Ehrengut ◽  
Aaron Schindler ◽  
Daniel Seehofer ◽  
...  
Keyword(s):  
Image Quality ◽  
Hepatic Metastasis ◽  
Diffusion Weighted Imaging ◽  
Hepatic Metastases ◽  
B Value ◽  
Primary Tumors ◽  
B Values ◽  
Lesion Detectability ◽  
High B Value ◽  
Diffusion Weighted

Diffusion-weighted imaging (DWI) has rapidly become an essential tool for the detection of malignant liver lesions. The aim of this study was to investigate the usefulness of high b-value computed DWI (c-DWI) in comparison to standard DWI in patients with hepatic metastases. In total, 92 patients with histopathologic confirmed primary tumors with hepatic metastasis were retrospectively analyzed by two readers. DWI was obtained with b-values of 50, 400 and 800 or 1000 s/mm2 on a 1.5 T magnetic resonance imaging (MRI) scanner. C-DWI was calculated with a monoexponential model with high b-values of 1000, 2000, 3000, 4000 and 5000 s/mm2. All c-DWI images with high b-values were compared to the acquired DWI sequence at a b-value of 800 or 1000 s/mm2 in terms of volume, lesion detectability and image quality. In the group of a b-value of 800 from a b-value of 2000 s/mm2, hepatic lesion sizes were significantly smaller than on acquired DWI (metastases lesion sizes b = 800 vs. b 2000 s/mm2: mean 25 cm3 (range 10–60 cm3) vs. mean 17.5 cm3 (range 5–35 cm3), p < 0.01). In the second group at a high b-value of 1500 s/mm2, liver metastases were larger than on c-DWI at higher b-values (b = 1500 vs. b 2000 s/mm2, mean 10 cm3 (range 4–24 cm3) vs. mean 9 cm3 (range 5–19 cm3), p < 0.01). In both groups, there was a clear reduction in lesion detectability at b = 2000 s/mm2, with hepatic metastases being less visible compared to c-DWI images at b = 1500 s/mm2 in at least 80% of all patients. Image quality dropped significantly starting from c-DWI at b = 3000 s/mm2. In both groups, almost all high b-values images at b = 4000 s/mm2 and 5000 s/mm2 were not diagnostic due to poor image quality. High c-DWI b-values up to b = 1500 s/mm2 offer comparable detectability for hepatic metastases compared to standard DWI. Higher b-value images over 2000 s/mm2 lead to a noticeable reduction in imaging quality, which could hamper diagnosis.

scholarly journals Role of MRI diffusion weighted imaging in differentiation between benign and malignant ovarian masses

2019 ◽  
Vol 13 (2) ◽  
pp. 26-33
Author(s):  
Mohammed Abd Kadhim ◽  
Lina Saad Jaafer
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Solid Component ◽  
Fluid Viscosity ◽  
Benign Lesions ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Malignant Lesions ◽  
The Mean ◽  
Ovarian Masses

Background: Characterization of the ovarian masses preoperatively is important to inform the surgeon about the possible management strategies. MRI may be of great help in identifying malignant lesion before surgery. Diffusion Weighted Imaging (DWI) is a sensitive method for changes in proton of water mobility caused by pathological alteration of tissue cellularity, cellular membrane integrity, extracellular space perfusion, and fluid viscosity. Objective: to study the diagnostic accuracy of DWI in differentiation between benign and malignant ovarian masses. Type of the study:Cross-sectional study. Methods: this study included  53with complex ovarian mass or masses ,Diffusion Weighted Imaging was obtained to all these patient with correlation to the histopathological results; the Signal Intensity (SI) of the solid and cystic part of the lesions was evaluated on T2 and Diffusion Weighted Imaging  ,with Apparent Diffusion Coefficient (ADC) values were also obtained . Results: 22 masses out of the total 53 were malignant and 31 were benign .On DWI the high SI intensity observed more frequently in the malignant lesions than the benign lesions (p value 0.0293) .There was significant difference between the mean ADC value of the malignant and benign ovarian lesions, with the mean ADC value for the benign lesions solid component =1.05 x10 -3, and the mean ADC value for the malignant lesions solid component =0.91 x10-3. The ROC study reveals that 0.926 x 10 -3  may be the optimal cutoff value  with sensitivity 54.8 %, specificity 59.1%, NPV 48.15 %, PPV 63.39%  , Accuracy 56.6%. With exclusion of the teratoma and endometriomas from statistical analysis the ROC reveals that 0.99 x10 -3  may be the optimal cut off value with sensitivity 76.9 % , specificity 77.3% , PPV 66.67% , NPP 85% and  accuracy 77.14% Conclusions: Combined with conventional pelvic MRI, DWI is a helpful tool in differentiation between benign and malignant ovarian masses, with high signal intensity on DWI more frequently observed in the malignant than benign ovarian lesions.

scholarly journals Quantitative Evaluation for Differential Diagnosis of Breast Lesions in Diffusion-Weighted MR Imaging

2021 ◽  
Author(s):  
Winniecia Dkhar ◽  
Rajagopal Kadavigere ◽  
Samir Paruthikunnan Mustaffa
Keyword(s):  
Differential Diagnosis ◽  
Mr Imaging ◽  
B Value ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Adc Value ◽  
B Values ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Malignant Lesions

AbstractDiffusion-weighted MR Imaging is a rapidly emerging technique, that allows in-vivo mapping processes of the water diffusion in tissues. It has the potential capabilities for clinical application in breast imaging. The aim of this study was to find out the optimal b-value for calculation of ADC value for differential diagnosis of breast lesions. A total of 124 subjects (mean age 46 years) with 141 lesions were included. The protocol consists of axial T2 sequence for lesion localization and measurement and DW sequence with three sets of b-values of 0, 300, 600, and 1000 s/mm2. The mean ADC values of the breast lesions for b-values (0, 300, 600, and 1000) were 1.75 ± 0.18 × 10−3mm2/sec, 1.66 ± 0.12 × 10−3mm2/sec and 1.57 ± 0.15 × 10−3mm2/sec for the benign lesions and 1.26 ± 0.048 × 10−3mm2/sec, 1.14 ± 0.11 × 10−3mm2/sec and 0.93 ± 0.14 × 10−3mm2/sec for malignant lesions respectively. Statistical significant differences were noted on the ADC value of benign and malignant lesions among the three sets of b values (p = 0.001). ADC values of malignant lesion was significantly lower compared to benign lesions. The AUC (0.998) was substantially large for b-value of 0,600 s/mm2 with a threshold ADC cut off value of 1.28 × 10−3mm2/sec with 98.4% sensitivity, 93.2% specificity and 98.5% positive predictive value(PPV). In conclusion, diffusion weighted imaging has the ability for differential diagnosis of breast lesions with the optimal b value of 0,600 s/ mm2. DWI is a reliable tool for characterising breast lesions and may increase the overall specificity of breast MRI.

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