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 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 A Comparative Analysis of DWI and Ultrasound in Thyroid Nodules

2019 ◽  
Author(s):  
Wei dan Kong ◽  
Xiu hui Yue ◽  
Ji liang Ren ◽  
Xiao feng Tao
Keyword(s):  
Sensitivity And Specificity ◽  
Signal Intensity ◽  
Intensity Ratio ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Signal Intensity Ratio ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background Diffusion weighted imaging and ultrasound are commonly used methods to examine thyroid nodules, but their comparative value is rarely studied. To evaluate the value of diffusion weighted imaging and ultrasound in differentiing benign and malignant thyroid nodules Methods A total of 100 patients with 137 nodules were enrolled. who underwent both diffusion weighted imaging and ultrasound before operation. 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 value of ADC,signal intensity ratio (SIR) of benign and malignant thyroid nodules were analyzed by two independent sample t test. The sensitivity, specificity and accuracy of DWI and ultrasound were compared and analyzed by chi-square test. Results There was no significant difference in signal intensity ratio between benign and malignant thyroid nodules. The ADC value had significant difference. When the threshold value was 1.12 ×10-3 mm2/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 sensitivity and specificity of ultrasound diagnosis were 90.1%, 80.4% and 86.9% respectively. Conclusion Ultrasound has high sensitivity in differentiating benign and malignant thyroid nodules, and ADC value has high specificity in differentiating thyroid nodules, but there is no statistical difference in sensitivity and specificity between the two. DWI and Ultrasound have their own advantages in differentiating benign and malignant thyroid nodules.

scholarly journals A comparative analysis of diffusion-weighted imaging and ultrasound in thyroid nodules

2019 ◽  
Vol 19 (1) ◽  
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 mm2/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.

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.

Clinical suspicion of spondylodiscitis with equivocal MRI findings: does diffusion-weighted imaging prove helpful here?

2020 ◽  
pp. 028418512092790
Author(s):  
Jeanette Henkelmann ◽  
Kristina Bremicker ◽  
Timm Denecke ◽  
Karl-Titus Hoffmann ◽  
Ralf Henkelmann ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Region Of Interest ◽  
High Sensitivity ◽  
Diagnostic Value ◽  
Mri Findings ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values

Background Despite the high sensitivity of magnetic resonance imaging (MRI), early detection of spondylodiscitis (SpD) remains challenging due to its low specificity. Purpose To assess the diagnostic value of diffusion-weighted imaging (DWI) in suspected cases of SpD with ambiguous early MRI findings in the differentiation of degenerative disorders (DD). Material and Methods In this prospective study, 52 patients suspected of having SpD underwent a whole-spine 3-T MRI scan comprising sagittal DWI. Of 58 conspicuous, T2-weighted, signal increased discs, 39 were successfully evaluated using DWI. Apparent diffusion coefficient (ADC) values and ADC maps were blindly analyzed using the region of interest of the conspicuous disc and a normal adjacent reference disc. Intraindividual ratios (conspicuous disc: reference disc) were calculated. Results All conspicuous discs showed increased absolute ADC values, which did not differ significantly between SpD (n = 22) and DD (n = 17). However, ADC ratio was significantly higher in SpD vs. DD ( P < 0.05). In receiver operating characteristic curve analysis, an ADC ratio threshold of 1.6 resulted in 45% sensitivity and 88% specificity (area under the curve = 0.69) for SpD diagnosis. Conclusion The absolute ADC value does not provide a reliable diagnosis of SpD. Increased diffusivity can be an indication of infection but should always be discussed in the context of existing disc degeneration.

MRI findings, including diffusion-weighted imaging, in seven cats with nasal lymphoma and two cats with nasal adenocarcinoma

2020 ◽  
pp. 1098612X2093281
Author(s):  
Toshiyuki Tanaka ◽  
Kazuna Ashida ◽  
Yasumasa Iimori ◽  
Hiroki Yamazaki ◽  
Keiichiro Mie ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Case Series ◽  
Mri Findings ◽  
Post Contrast ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Nasal Adenocarcinoma ◽  
Nasal Lymphoma ◽  
Heterogeneous Enhancement

Objectives Case series summary Primary nasal tumours in cats are rare, with lymphoma being the most common feline nasal tumour, followed by adenocarcinoma. Although CT can reliably detect feline nasal tumours, there are no specific CT features that identify each tumour type. To our knowledge, there have been no reports describing MRI findings, including diffusion-weighted imaging (DWI), for nasal lymphomas and adenocarcinomas in cats. Therefore, this retrospective study aimed to evaluate the MRI findings of nasal lymphoma and adenocarcinoma, including qualitative and quantitative analysis of DWI. Methods MRI examination was performed on seven cats with histologically confirmed lymphoma and on two with adenocarcinoma. The MRI protocol included T2-weighted imaging (T2WI), T1-weighted imaging (T1WI) and DWI. Apparent diffusion coefficient (ADC) values were measured using DWI. Contrast agent was not used in one cat with lymphoma. Results In those with lymphoma, three (43%) were iso- and hyperintense on T2WI, seven (100%) were iso-intense on T1WI, five (83%) exhibited mild heterogeneous enhancement, including a prominent region of non-enhancement on post-contrast T1WI, and seven (100%) cats exhibited hyperintensity on DWI. The median ADC values were 0.45 × 10−3 mm2/s (range 0.37–0.53 × 10−3 mm2/s). For adenocarcinoma, two (100%) were iso- and hyperintense on T2WI, two (100%) were iso-intense on T1WI, two (100%) exhibited marked heterogeneous enhancement on post-contrast T1WI and two (100%) were iso-intense on DWI. The median ADC values were 1.08 × 10−3 mm2/s (range 0.88–1.27 × 10−3 mm2/s). The median ADC values of lymphoma tended to be lower than adenocarcinoma ( P = 0.056). Conclusions and relevance Determining ADC value and tumours with a large area of non-enhancement may be helpful in differentiating nasal lymphoma from nasal adenocarcinoma.

Diffusion-weighted imaging of primary brain lymphomas: Effect of ADC value and signal intensity of T2-weighted imaging

2008 ◽  
Vol 32 (7) ◽  
pp. 539-543 ◽  
Author(s):  
Masuma Akter ◽  
Toshinori Hirai ◽  
Keishi Makino ◽  
Mika Kitajima ◽  
Ryuji Murakami ◽  
...  
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Adc Value ◽  
Diffusion Weighted

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 Imaging findings of uterine adenosarcoma with sarcomatous overgrowth: two case reports, emphasizing restricted diffusion on diffusion weighted imaging

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Go Nakai ◽  
Hiroki Matsutani ◽  
Takashi Yamada ◽  
Masahide Ohmichi ◽  
Kazuhiro Yamamoto ◽  
...  
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
High Signal Intensity ◽  
High Signal ◽  
Cervical Canal ◽  
Low Grade ◽  
Imaging Findings ◽  
Mri Findings ◽  
Diffusion Weighted ◽  
Stromal Component

Abstract Background Adenosarcoma is classified as a mixed epithelial and mesenchymal tumor composed of a benign epithelial component and a malignant stromal component. The stromal component in adenosarcoma is usually low grade, and consequently the prognosis is relatively favorable. While, adenosarcoma with sarcomatous overgrowth (SO) is defined as an adenosarcoma in which the sarcomatous component constitutes more than 25% of the tumor. The stromal component is also high-grade sarcoma showing greater nuclear pleomorphism and mitotic activity, thus, it is associated with worse prognosis. MRI findings of adenosarcoma without SO have been described in previous literatures but the imaging findings in adenosarcoma with SO may be poorly defined. Therefore we present two cases of uterine adenosarcoma with SO. Case presentation Patient 1 was a 76-year-old woman referred to our hospital with complaint of abdominal distension and postmenopausal bleeding. Patient 2 was a 57-year-old woman with complaint of lower abdominal pain and abnormal uterine bleeding. On magnetic resonance imaging (MRI), T2 weighted imaging showed a large, heterogeneous high-intensity mass with hyperintense tiny cysts that expanded the uterine cavity and extended into the cervical canal for both patients. On diffusion-weighted imaging (DWI), both masses appeared as high signal intensity. Patient 2 also had a right ovarian adult granulosa cell tumor that may have contributed to development of the adenosarcoma. Patient 1 recurred with peritoneal sarcomatosis 6 months after surgery and died of the disease. Patient 2 also recurred with a left upper lung metastasis 3 months after surgery. Conclusions DWI may depict pathological changes produced by SO of adenosarcoma as high signal intensity, even though SO does not seem to change MRI findings of adenosarcoma on other sequences. Therefore, DWI could potentially predict SO in presumptive adenosarcoma on MRI and the patient’s prognosis. It is also important for pathologists to know if SO can arise in adenosarcoma because they need to examine the tumor thoroughly to determine the percentage of SO component in the tumor volume when SO is present.

Sign in / Sign up

Export Citation Format

Share Document