Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values

2015 ◽  
Vol 45 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Pedro Augusto Gondim Teixeira ◽  
Frederique Gay ◽  
Bailiang Chen ◽  
Marie Zins ◽  
François Sirveaux ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Signal Intensity ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Initial Characterization ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

scholarly journals Grading and characterization of soft tissue tumors on magnetic resonance imaging: the value of an expert second opinion report

2012 ◽  
Vol 3 (2) ◽  
pp. 131-138 ◽  
Author(s):  
F. M. Vanhoenacker ◽  
K. Van Looveren ◽  
K. Trap ◽  
J. Desimpelaere ◽  
K. Wouters ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Second Opinion ◽  
Resonance Imaging

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. 

Imaging of soft tissue tumors

2020 ◽  
Vol 16 ◽  
Author(s):  
Shinji Tsukamoto ◽  
Andreas F. Mavrogenis ◽  
Yasuhito Tanaka ◽  
Costantino Errani
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Tumor Size ◽  
Critical Role ◽  
Evaluation Criteria ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Benign Soft Tissue Tumors ◽  
Response To Chemotherapy

: Differentiation of malignant from benign soft tissue tumors is challenging with imaging alone, including that by magnetic resonance imaging and computed tomography. However, the accuracy of this differentiation has increased owing to the development of novel imaging technology. Detailed patient history and physical examination remain essential for differentiation between benign and malignant soft tissue tumors. Moreover, measurement only of tumor size based on Response Evaluation Criteria In Solid Tumors criteria is insufficient for the evaluation of response to chemotherapy or radiotherapy. Change in metabolic activity measured by 18F-fluorodeoxyglucose positron emission tomography or dynamic contrast enhanced-derived quantitative endpoints can more accurately evaluate treatment response compared to change in tumor size. Magnetic resonance imaging can accurately evaluate essential factors in surgical planning such as vascular or bone invasion and “tail sign”. Thus, imaging plays a critical role in the diagnosis and treatment of soft tissue tumors.

scholarly journals Multiple b values of diffusion-weighted magnetic resonance imaging in evaluation of solid head and neck masses

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Rania Sobhy Abou khadrah ◽  
Haytham Haroon Imam
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Head And Neck ◽  
Resonance Imaging ◽  
Adc Value ◽  
Neck Masses ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging ◽  
The Mean ◽  
Head And Neck Masses

Abstract Background Differentiation between malignant and benign masses is essential for treatment planning and helps in improving the prognosis of malignant tumors; the aim of this work is to determine the role of diffusion-weighted magnetic resonance imaging (DW-MRI) and the apparent diffusion coefficient (ADC) in the differentiation between benign and malignant solid head and neck masses by comparing diagnostic performance of low b values (0.50 and 400 s/mm2) versus high b values (800 and 1000 s/mm2) and comparing the result with histopathological finding. Results The study included 60 patients (34 male and 26 female) with solid head and neck masses > 1 cm who referred to radiodiagnosis department for MRI evaluation. Multiple b values were used 50, 400, 800, and 1000 s/mm2 (at least 2 b values). DWI and ADC value of all 60 patients were acquired. Mean ADC values of both malignant and benign masses were statistically measured and compared, and cut off value was determined. Solid head and neck masses in our study DWI with the use of high b value 800 and 1000 s/mm2 were of higher significance (P value 0.001*). There was a significant difference in the mean ADC value between benign and malignant masses (P < 0.01); solid masses were divided into 2 categories: (a) malignant lesions 46.7% (n = 28) with mean ADC value (0.82 ± 0.19) × 10−3 s/mm2 and (b) benign lesions 53.3% (n = 32) with mean ADC value (2.05 ± 0.46) × 10−3 s/mm2) with ADC cutoff value of 1.0 × 10−3 s/mm2 and 94% sensitivity, 93% specificity, negative predictive value (NPV) = 94%, positive predictive value (PPV) 93%, and an accuracy of 93.5%. Conclusion The DWI with ADC mapping were valuable as non-invasive tools in differentiating between benign and malignant solid head and neck masses. The use of high b value 800 and 1000 s/mm2 was of higher significance (P value 0.001*) in differentiation between benign and malignant lesion than that with low b values 0, 50, and 400 s/mm2 (0.01). The mean ADC values were significantly lower in malignant solid masses. Attention had to be paid to the choice of b values in MRI-DWI in the head and neck region.

scholarly journals Magnetic resonance imaging of bone and soft tissue tumors. MRI of the cartilaginous tumors.

1990 ◽  
Vol 39 (2) ◽  
pp. 638-642
Author(s):  
Kazuhiro Tanaka ◽  
Yukihide Iwamoto ◽  
Masahiro Ushijima ◽  
Yoichi Sugioka
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Cartilaginous Tumors

Basics of Imaging Techniques in Evaluation of Soft Tissue Tumors

2017 ◽  
Author(s):  
Emily Alanna Aherne ◽  
Sinchun Hwang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Positron Emission Tomography ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Imaging Techniques ◽  
Soft Tissue Tumors ◽  
Emission Tomography ◽  
Resonance Imaging ◽  
Positron Emission

Medical imaging plays a pivotal role in the detection, diagnosis, and clinical management of primary soft tissue tumors. Various imaging modalities have been used, and each modality offers unique advantages in the workup of soft tissue tumors by localizing the lesions in different compartments of the body and characterizing macroscopic tissue composition of the lesions in a noninvasive and safe manner. We review the clinical role and technical aspects of the frequently used imaging modalities, including magnetic resonance imaging (MRI), computed tomography, ultrasonography, positron emission tomography, and plain radiography with an emphasis on MRI as a mainstay imaging modality and a brief discussion of advanced techniques. We also review imaging features of common soft tissue tumors that can be detected and characterized using current imaging techniques. This review contains 54 figures, 1 table and 37 references.   Key words: computed tomography, diffusion-weighted imaging, imaging, magnetic resonance imaging, positron emission tomography, soft tissue, technique, tumor, ultrasonography

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