scholarly journals Correspondence- ‘Role of Diffusion Weighted Imaging in Differentiating Benign from Pathological Vertebral Collapse using ADC Values’; Is It Possible to Discriminate Multiple Myeloma with Magnetic Resonance Imaging?

2020 ◽  
Author(s):  
Takahiko Nagamine
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Myeloma ◽  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Resonance Imaging ◽  
Vertebral Collapse ◽  
Diffusion Weighted ◽  
Adc Values

Role of Interface Sign and Diffusion-Weighted Magnetic Resonance Imaging in Differential Diagnosis of Exophytic Renal Masses

2019 ◽  
Vol 70 (2) ◽  
pp. 147-155
Author(s):  
Fatma Kulali ◽  
Safak Firat Kulali ◽  
Aslihan Semiz-Oysu ◽  
Burcu Kaya-Tuna ◽  
Yasar Bukte
Keyword(s):  
Magnetic Resonance Imaging ◽  
Differential Diagnosis ◽  
Magnetic Resonance ◽  
Cystic Lesions ◽  
Resonance Imaging ◽  
Renal Masses ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Malignant Lesions

Purpose We aimed to investigate the role of interfaces of exophytic solid and cystic renal masses on magnetic resonance imaging (MRI) and the added value of diffusion-weighted imaging in differentiating benign from malignant lesions. Methods The Institutional Review Board approved this retrospective study, and informed consent was waived. A total of 265 patients (109 [41%] women and 156 [59%] men) with a mean age of 57 ± 12 (standard deviation) years were enrolled in this study. Preoperative MRI (n = 238) examinations of patients with solid or cystic renal masses and MRI (n = 27) examinations of patients with Bosniak IIF cysts without progression were reviewed. Solid/cystic pattern, interface types and apparent diffusion coefficient (ADC) values were recorded by 2 radiologists. The diagnostic performance of combining normalized ADC values with interface sign were evaluated. Results Among 265 renal lesions (109 cystic and 156 solid), all malignant lesions (n = 192) had a round interface. No malignant lesions showed an angular interface. For prediction of benignity in cystic lesions, sensitivity (82.86% vs 56.16%), negative predictive value (92.50% vs 85.71%), and accuracy (94.50% vs 87.92%) ratios of angular interface were higher compared to all (solid plus cystic) lesions. The best normalized ADC cutoff values for predicting malignancy in lesions with round interface were as follows: for all (solid plus cystic), ≤ 0.75 (AUROC = 0.804); solid, ≤ 0.6 (AUROC = 0.819); and cystic, ≤ 0.8 (AUROC = 0.936). Conclusions Angular interface can be a predictor of benignity for especially cystic renal masses. The evaluation of interface type with normalized ADC value can be an important clue in differential diagnosis especially in patients avoiding contrast.

scholarly journals Role of diffusion-weighted MR imaging in diagnosis of acute pancreatitis

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Hanan M. Abuzeid ◽  
Aya Yassin ◽  
Omar F. Kamel ◽  
Kareem A. Sabry
Keyword(s):  
Magnetic Resonance Imaging ◽  
Acute Pancreatitis ◽  
Magnetic Resonance ◽  
Control Group ◽  
Resonance Imaging ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

Abstract Background The role of diffusion-weighted magnetic resonance imaging (DW-MRI) in the diagnosis of acute pancreatitis is assessed in this study by measuring the apparent diffusion coefficient (ADC) values in acute pancreatitis and comparing them with a control group. The aim of this study is to compare those two groups thus supporting the diagnosis of this disease. Sixteen patients with acute pancreatitis and 16 control participants underwent diffusion-weighted imaging with b values of 0, 200, and 800. ADC maps were generated from the DW-MRI and ADC values, which were calculated for the pancreas, and the results of the two groups of patients were compared. Results The mean pancreatic ADC value in the acute pancreatitis group (1.15 10(−3) mm(2)/s ± 0.28) was significantly lower than in the normal group (1.6 10−3 mm(2)/s ± 0.2). A threshold ADC value of 1.38 10−3 mm(2)/s yielded 81.25%, specificity of 93.75%, positive predictive value of 92.9%, negative predictive value of 83.3%, and accuracy of 91.8%. Pancreatic ADC values were significantly lower in patients with acute pancreatitis than in the control group. Conclusion Diffusion-weighted magnetic resonance imaging could be an important supportive tool in the diagnosis of acute pancreatitis.

scholarly journals Role of diffusion: weighted magnetic resonance imaging in evaluation of renal masses

2020 ◽  
Vol 8 (10) ◽  
pp. 3575
Author(s):  
Jitendra K. Meena ◽  
Anil Taneja
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Renal Masses ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

Background: Diffusion-weighted magnetic resonance imaging (DWI) is a valuable tool to narrow down the differential diagnosis of renal masses. Studies have shown that benign renal masses have higher Apparent diffusion coefficient (ADC) value than malignant renal masses. Aim of study was to evaluate the role of diffusion-weighted magnetic resonance imaging in the characterization of renal masses.Methods: The study was conducted in department of Radio diagnosis at ABVIMS and Dr. RML Hospital, New Delhi between June 2017 to March 2019. This was a cross-sectional observational study comprising of 28 patients. Patients found to have renal mass on ultrasound and computed tomography (CT) were evaluated further on 3T siemens Magnetic resonance imaging (MRI) scanner. In addition to routine sequences, DWI using b value of 0,500,1000 s/mm2 sequence was used to study to differentiate benign and malignant renal masses.Results: Of a total of 28 cases, the most common malignant mass was renal cell carcinoma (RCC). Angiomyolipoma (AML) was the most common benign masses. DWI showed low ADC values in most of the malignant masses and high ADC values in most of the benign masses. The cut-off level of ADC value for differentiation among benign and malignant renal masses was 1.08×10-3 mm2/s. DWI-MR findings were correlated with histopathological diagnosis.Conclusion: DWI with ADC measurements are a non-invasive, problem solving tool for characterization of renal masses helping to differentiate malignant from benign masses. 

scholarly journals Role of diffusion weighted MRI in differentiation between benign and malignant hepatic focal lesions

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
L A Abdurrahman ◽  
A H Ali ◽  
E M Abdelmotelb
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Radiology Department ◽  
Focal Liver Lesions ◽  
Resonance Imaging ◽  
Focal Lesions ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Malignant Lesions

Abstract Background Magnetic resonance imaging (MRI) is playing an increasing role in the assessment of patients with liver disease due to its high soft tissue resolution, lack of ionizing radiation and ability to provide functional data. Diffusion-weighted (DW)-MRI is a functional imaging technique that is now widely used as a standard imaging sequence, together with unenhanced T1/T2 weighted imaging and contrast-enhanced imaging for liver evaluation. Objective The aim of this study is to clarify the role of Diffusion Weighted Magnetic Resonance Imaging (DW MRI) in the detection of hepatic focal lesions and its ability to differentiate benign from malignant hepatic focal lesions. Patients and Methods This study carried out in Radiology Department of Ain Shams University Hospitals. This study included 25 patients. All patients were subjected to careful history taking, abdominal US, laboratory examinations, and liver MRI. Result The difference between the mean ADC values of benign and malignant lesions was significant. No significant differences in ADC values among the different benign lesions or among the different malignant lesions. Conclusion Diffusion-weighted imaging (DWI) offers the possibility to obtain criteria for characterization of focal liver lesions with subsequent differentiation between benign and malignant hepatic focal lesions without the need for contrast agent administration-by quantifying diffusion effects via apparent diffusion coefficient (ADC) measurements.

Sign in / Sign up

Export Citation Format

Share Document