Prediction of high-stage liver fibrosis using ADC value on diffusion-weighted imaging and quantitative enhancement ratio at the hepatobiliary phase of Gd-EOB-DTPA–enhanced MRI at 1.5 T

2017 ◽  
Vol 59 (5) ◽  
pp. 509-516 ◽  
Author(s):  
Taiyo L Harada ◽  
Kazuhiro Saito ◽  
Yoichi Araki ◽  
Jun Matsubayashi ◽  
Toshitaka Nagao ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Diffusion Weighted Imaging ◽  
Diagnostic Performance ◽  
Hepatobiliary Phase ◽  
Enhancement Ratio ◽  
Adc Value ◽  
Enhanced Mri ◽  
Diffusion Weighted ◽  
High Stage ◽  
Significant Difference

Background Recently, diffusion-weighted imaging (DWI) and quantitative enhancement ratio measured at the hepatobiliary phase (HBP) of Gd-EOB-DTPA–enhanced magnetic resonance imaging (MRI) has been established as an effective method for evaluating liver fibrosis. Purpose To evaluate which is a more favorable surrogate marker in predicting high-stage liver fibrosis, apparently diffusion coefficient (ADC) value or quantitative enhancement ratio measured on HBP. Material and Methods Eighty-three patients with 99 surgically resected hepatic lesions were enrolled in this study. DWI was performed with b-values of 100 and 800 s/mm2. Regions of interest were set on ADC map, and the HBP of Gd-EOB-DTPA–enhanced MRI, to calculate ADC value, liver-to-muscle ratio (LMR), liver-to-spleen ratio (LSR), and contrast enhancement index (CEI) of liver. We compared these parameters between low-stage fibrosis (F0, F1, and F2) and high-stage fibrosis (F3 and F4). Receiver operating characteristic analysis was performed to compare the diagnostic performance when distinguishing low-stage fibrosis from high-stage fibrosis. Results LMR and CEI were significantly lower at high-stage fibrosis than at the low stage ( P < 0.01 and P = 0.04, respectively), whereas LSR did not show a significant difference ( P = 0.053). No significant difference was observed in diagnostic performance between LMR and CEI ( P = 0.185). The best sensitivity and specificity, when an LMR of 2.80 or higher was considered to be low-stage fibrosis, were 82.4% and 75.6%, respectively. ADC value showed no significant differences among fibrosis grades ( P = 0.320). Conclusion LMR and CEI were both adequate surrogate parameters to distinguish high-stage fibrosis from low-stage fibrosis.

scholarly journals Role of Quantitative Diffusion-Weighted Imaging in Differentiating Benign and Malignant Orbital Masses

2021 ◽  
Author(s):  
Preeti Mundhada ◽  
Sudarshan Rawat ◽  
Ullas Acharya ◽  
Dhananjay Raje
Keyword(s):  
Roc Curve ◽  
Diffusion Weighted Imaging ◽  
Care Hospital ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Orbital Masses ◽  
Adc Values ◽  
Orbital Lesions

Abstract Aim To determine the role of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) values in differentiating benign and malignant orbital masses. Materials and Methods After obtaining institutional ethical board approval and informed consent from all patients, an observational study was done for a period of 24 months in the radiology department of a tertiary care hospital in South India. Conventional magnetic resonance imaging and DWI using a 3T scanner was done for all patients with suspected orbital mass lesion. ADC value and clinicohistopathological correlation were studied for every patient. Chi-square test was used to compare the signal characteristics of DWI and ADC maps between benign and malignant lesions. A comparison of mean ADC values for benign and malignant masses was performed using Student’s t-test for independent samples. The cut-off value for ADC was obtained using the receiver operating characteristic (ROC) curve. Results Of 44 patients with orbital lesions, 70% were benign and 30% were malignant. There was a significant difference in the mean ADC values of benign and malignant orbital masses. Using ROC curve analysis, an optimal ADC threshold of 1.26 × 10−3 mm2/s was calculated for the prediction of malignancy with 100% sensitivity, 80.65% specificity, and 86.36% accuracy (95% confidence interval: 0.872, 1.00, p < 0.0001). Two ADC thresholds were used to characterize the orbital masses with more than 90% confidence. Conclusion Quantitative assessment of ADC is a useful noninvasive diagnostic tool for differentiating benign and malignant orbital masses. Malignant orbital lesions demonstrate significantly lower ADC values as compared with benign lesions.

Role of Diffusion Weighted Imaging in Differentiating Benign from Pathological Vertebral Compression

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Faten Mohammed Mahmoud Kamel ◽  
Hazem Ibrahim Abdel Rahman ◽  
Amany Sayed Khaleel Ahmed Elkhayat
Keyword(s):  
Vertebral Fractures ◽  
Diffusion Weighted Imaging ◽  
Laboratory Evaluation ◽  
Vertebral Collapse ◽  
Adc Value ◽  
Conventional Mri ◽  
Diffusion Weighted ◽  
Significant Difference

Abstract Background Vertebral collapse is a common problem due to benign conditions (trauma, infection, osteoporosis) or malignant process. And although the spine is the most common site of bone metastases (39% of bony metastases in patients with primary neoplasms) benign vertebral fractures due to osteopenia occur in one third of cancer patients, making it essential to determine whether the cause of vertebral collapse is benign or malignant. Aim of the Work To establish the role of DWI in differentiating benign from pathologic vertebral fractures using ADC values in comparison with histopathology report /laboratory evaluation and clinical follow-up. Patients and Methods A cross sectional study is approved by the ethics review board of Ain Shams University Hospital (Al Demerdash). All patients provided informed consent for the MR imaging examinations and for inclusion of their data in this analysis. From April 2020 to october 2020, 25 cases with previous imaging with vertebral compression underwent conventional MRI study on the affected region. Diffusion weighted imaging and ADC was added. Results We performed DWI using maximum b-values 600, and quantitative analysis, named apparent diffusion coefficient (ADC). We correlated the ADC number to histopathology, laboratory finding and clinical follow up. In our study there was significant difference (p &lt; 0.04) between DWI of the benign and malignant groups. Also the ADC value showed significant difference &lt;0.001. The mean ADCs of benign VCFs were higher significantly than those of pathological fractures. Conclusion DWI with ADC value was helpful when added to conventional MRI to differentiate benign from pathological (malignant) vertebral compression. It should be a routine sequence in patients with vertebral compression fractures for accurate diagnosis and successful management also can decrease no of biopsies.

MRI findings and demographics of elastofibroma dorsi: assessment of diffusion-weighted imaging and contrast enhancement patterns

2017 ◽  
Vol 59 (6) ◽  
pp. 709-715 ◽  
Author(s):  
Maho Tsubakimoto ◽  
Tsuneo Yamashiro ◽  
Nanae Tsuchiya ◽  
Masahiro Okada ◽  
Hiroki Maehara ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Enhancement Pattern ◽  
Mri Findings ◽  
Adc Value ◽  
Diffusion Restriction ◽  
Diffusion Weighted ◽  
Elastofibroma Dorsi ◽  
Significant Difference

Background Elastofibroma dorsi is a rare pseudotumoral lesion. Thus, there is no report of magnetic resonance imaging (MRI) findings that investigates multiple patients particularly with respect to diffusion-weighted imaging (DWI) findings and contrast enhancement patterns. Purpose To describe the imaging findings of elastofibroma on MRI, particularly DWI findings and contrast enhancement patterns, and to further investigate patient demographics. Material and Methods Forty-four patients with elastofibroma that underwent MRI were enrolled in this retrospective study. All images were evaluated by two radiologists to visually assess the signal intensity for each sequence. Enhanced elastofibromas were classified into four categories to assess the enhancement pattern. Differences in gender and laterality were also assessed statistically. Results An equal number of men and women were included (n = 22 each). There was no significant difference in laterality ( P = 0.783). All lesions (73 lesions) had low signal intensity on both T1-weighted (T1W) and T2-weighted (T2W) images: heterogeneous in 56, homogeneous in 17. None of the 41 lesions with DWI had true abnormal diffusion restriction. The average ADC value was 1.36 × 10–3 ± 0.29 mm2/s. All 31 lesions that had contrast-enhanced MRI were classified according to enhancement pattern: homogeneous (three lesions, 9.7%); heterogeneous (15 lesions, 48.4%); streak-like (three lesions, 9.7%); and rim-like (ten lesions, 32.2%). Conclusion There were no statistically significant differences in gender or laterality. Elastofibroma showed homogeneous to heterogeneous low signal intensity on T1W and T2W images. No lesion showed abnormal diffusion restriction, and all lesions demonstrated enhancement on MRI.

scholarly journals Role of Diffusion-Weighted Imaging in the Evaluation of Perianal Fistulae

2021 ◽  
Author(s):  
Deb K. Boruah ◽  
Karuna Hazarika ◽  
Halimuddin Ahmed ◽  
Krishna K. Borah ◽  
Samudra Borah ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Imaging Modality ◽  
Perianal Fistula ◽  
P Value ◽  
Adc Value ◽  
Perianal Fistulas ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Perianal Fistulae

Abstract Background Magnetic resonance imaging (MRI) is the imaging modality of choice for evaluating perianal fistulae, due to its ability to show the relationship of perianal fistulae with anal sphincters, fistula extensions, secondary ramifications and associated complications. Aim To evaluate the role of diffusion-weighted MRI in the evaluation of perianal fistulae. Settings and Design A hospital-based cross-sectional study. Materials and Methods The study group composed of 47 patients of perianal fistula. MRI with diffusion-weighted imaging (DWI) was performed with Philips 0.5 T Ingenia scanner. DWI with different b-values (b = 50, b = 400, and b = 800 smm2) were obtained. The MRI findings were correlated with local clinical examination and or surgical findings. Statistical Analysis Used Chi-square test, independent samples t-test, and receiver operating characteristic curve analysis. Result Fifty-nine perianal fistulas in 47 patients were included in the study sample. The visibility of perianal fistula on DWI was less than T2-weighted (T2W) and combined DWI-T2W images. Distinctly visualized (visibility score 2) perianal fistulas were observed in 47 fistulas (79.6%) on DWI, 54 (91.5%) on T2W, and 58 (98.3%) on DWI-T2W images. The mean of apparent diffusion coefficient (ADC) values of active fistula was 0.972 ± 0.127 [SD] 10−3 mm2/s and inactive was 1.232 ± 0.185 [SD] 10−3 mm2/s with a significant difference (p-value < 0.0005). A cut-off mean ADC value of 1.105 × 10−3 mm2/s was used to differentiate active from the inactive fistula with a sensitivity of 87.5% and specificity of 73.3%. Conclusion Combined DWI-T2W evaluation had a better performance in the detection of fistula than DWI or T2W alone. DWI with mean ADC calculation had a good performance in differentiating active from the inactive fistulas.

scholarly journals Diffusion-Weighted Imaging: An Exciting and Problem-Solving Tool in Patients with Hepatic Metastases

2021 ◽  
Author(s):  
Savia Gupta ◽  
Naseer A. Choh ◽  
Mohd Gull Bhatt ◽  
Rauf A. Wani ◽  
Zubaida Rasool ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Diffusion Weighted Imaging ◽  
False Negative ◽  
Hepatic Metastases ◽  
Hepatobiliary Phase ◽  
Primary Malignancy ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Weighted Sequences

Abstract Background The diffusion-weighted imaging (DWI) is based on the random Brownian motion of water molecules that influences image contrast depending on different pathological conditions. Objective The purpose of this study was to evaluate the efficacy of various magnetic resonance imaging (MRI) sequences including diffusion-weighted and gadobenate-enhanced MRI in the detection and characterization of liver lesions in a patient of known primary malignancy and to compare MRI with contrast-enhanced computed tomography (CECT) and ultrasonography (USG) in the detection of liver metastases. Methods All patients underwent a multiphase MRI. The final diagnosis was established by histopathological examination. Results A total of 43 patients of known primary malignancy were enrolled. MRI gave a provisional diagnosis of liver metastases in 21 patients and benign disease in 22 patients with histopathological correlation revealing two false-negative and one false-positive result. In the detection of lesions, DWI outscored other sequences (92.9 vs. 83.5% in hepatobiliary phase vs. 55.0% in T2-weighted sequences) with a statistically significant difference noted only in comparison with T2-weighted sequences (p < 0.001). In 16 patients, MRI added new lesions that were not detected by CECT/USG. The sensitivity and specificity of MRI for detecting metastases were 90.9%/95.2% and 97.9%/96.8% for per-patient and per-lesion basis, respectively. Conclusion Multiphase MRI improved both the detection and characterization of liver metastases. Adding DWI to the routine MR sequences helped in detecting small liver metastases (<10 mm) not detected by other sequences.

scholarly journals A Comparative Analysis of Diffusion-weighted Imaging and Ultrasound in Thyroid Nodules

2019 ◽  
Author(s):  
Weidan Kong ◽  
Xiuhui Yue ◽  
Jiliang Ren ◽  
xiaofeng tao
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
High Specificity ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background: Diffusion-weighted imaging (DWI) and ultrasound are commonly used methods to examine thyroid nodules, but their comparative value is rarely studied. We evaluated the utility of DWI and ultrasound in differentiating benign and malignant thyroid nodules. Methods: A total of 100 patients with 137 nodules who underwent both DWI and ultrasound before operation were enrolled. The T1 and T2 signal intensity ratio (SIR) of each thyroid nodule was calculated by measuring the mean signal intensity divided by that of paraspinal muscle. The apparent diffusion coefficient (ADC) value and the SIR of benign and malignant thyroid nodules were analyzed by two-sample independent t tests. The sensitivity, specificity, and accuracy of DWI and ultrasound were compared with chi-square tests. Results: There was no significant difference in the SIR between benign and malignant thyroid nodules. The ADC value was significantly different. At the threshold value was 1.12 × 10 -3 mm 2 /s, the maximum area under the curve was 0.944. The sensitivity, specificity, and accuracy were 84.9%, 92.2%, and 87.6% respectively. The corresponding values of ultrasound diagnosis were 90.1%, 80.4%, and 86.9%. Conclusions: Ultrasound has high sensitivity in differentiating benign and malignant thyroid nodules, and the ADC value has high specificity, but there is no statistical difference in sensitivity or specificity between the two modalities. DWI and ultrasound each have their own advantages in differentiating benign and malignant thyroid nodules. Keywords Thyroid nodules, Ultrasound, Diffusion-weighted imaging

scholarly journals Differentiation of salivary gland tumor using diffusion-weighted imaging with a fractional order calculus model

2020 ◽  
Vol 93 (1113) ◽  
pp. 20200052
Author(s):  
Wei Chen ◽  
Liu-Ning Zhu ◽  
Yong-Ming Dai ◽  
Jia-Suo Jiang ◽  
Shou-Shan Bu ◽  
...  
Keyword(s):  
Salivary Gland ◽  
Diffusion Model ◽  
Fractional Order ◽  
Diffusion Weighted Imaging ◽  
Diagnostic Performance ◽  
Salivary Gland Tumors ◽  
Characteristic Analysis ◽  
Fractional Order Calculus ◽  
Diffusion Weighted ◽  
Significant Difference

Objective: To evaluate the feasibility of using imaging parameters (D, β and μ) obtained from fractional order calculus (FROC) diffusion model to differentiate salivary gland tumors. Methods: 15 b-value (0–2000 s/mm2) diffusion-weighted imaging (DWI) was scanned in 62 patients with salivary gland tumors (47 benign and 15 malignant). Diffusion coefficient D, fractional order parameter β (which correlates with tissue heterogeneity) and a microstructural quantity μ of the solid portion within the tumor were calculated, and compared between benign and malignant groups, or among pleomorphic adenoma (PA), Warthin’s tumor (WT), and malignant tumor (MT) groups. Performance of FROC parameters for differentiation was assessed using receiver operating characteristic analysis. Results: None of the FROC parameters exhibited significant differences between benign and malignant group (D, p = 0.150; β, p = 0.967; μ, p = 0.693). WT showed significantly lower D (p < 0.001) and β (p < 0.001), while higher μ (p = 0.001) than PA. Combination of D, β and μ showed optimal diagnostic performance (area under the curve, AUC, 0.998). MT showed significantly lower D (p = 0.001) and β (p = 0.025) than PA, while no significant difference was found on μ (p = 0.064). Combination of D and β showed optimal diagnostic performance (AUC, 0.933). Significant difference was found on β (p = 0.027) between MT and WT, while not on D (p = 0.806) and μ (p = 0.789). Setting a βof 0.615 as the cut-off value, optimal diagnostic performance could be obtained (AUC = 0.806). Conclusion: A non-Gaussian FROC diffusion model can serve as a noninvasive and quantitative imaging technique for differentiating salivary gland tumors. Advances in knowledge: (1) PA showed higher D and β and lower μ than WT. (2) PA had higher D and β than MT. (3) WT demonstrated lower β than MT. (4) β, as a new FROC parameter, could offer an added value to the differentiation.

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