scholarly journals Lobar Holoprosencephaly: Cranial Sonography and MRI Imaging Features

2016 ◽  
pp. 284-287
Author(s):  
Manjit Bagul ◽  
Purva Tripathi ◽  
Rakesh Mishra
Keyword(s):  
Imaging Features ◽  
Mri Imaging ◽  
Cranial Sonography

scholarly journals Imaging features of hemangioma in long tubular bones

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Lei Cao ◽  
Jin-Xu Wen ◽  
Shu-Man Han ◽  
Hui-Zhao Wu ◽  
Zhi-Gang Peng ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Plain Radiograph ◽  
Ground Glass Opacity ◽  
Plain Radiography ◽  
Long Bone ◽  
Imaging Features ◽  
Mri Imaging ◽  
Soft Tissue Density ◽  
Tissue Density ◽  
Hyperintense Signal

Abstract Background To investigate the imaging features of hemangiomas in long tabular bones for better diagnosis. Methods Twenty-four patients with long bone hemangiomas confirmed by pathology were enrolled. Nineteen patients had plain radiography, fourteen patients had computed tomography (CT) and eleven had magnetic resonance imaging (MRI). The hemangioma was divided into medullary [13], periosteal [6] and intracortical type [5]. Results Among 19 patients with plain radiography, eleven patients were medullary, three periosteal, and five intracortical. In the medullary type, the lesion was primarily osteolytic, including five cases with irregular and unclear rims and one lesion having osteosclerotic and unclear rims. In three patients with the periosteal type, the lesion had clear rims with involvement of the cortical bone in the form of bone defect, including two cases with local thickened bone periosteum and one case having expansile periosteum. Five intracortical hemangiomas had intracortical osteolytic lesions with clear margins. Among 14 patients with CT imaging, 8 cases were medullary, three periosteal, and three intracortical. Among 8 medullary hemangiomas, one had ground glass opacity, and seven had osteolytic, expansile lesions like soft tissue density with no calcification. In three periosteal cases, the lesion was osteolytic with thickened periosteum and narrowed medullary cavity. In three intracortical hemangiomas, the lesion was of even soft tissue density with no calcification. Among 11 patients with MRI imaging, seven were medullary, two periosteal, and two intracortical. Among 7 medullary lesions, six were of hypointense signal on T1WI and hyperintensesignal on T2 WI. In two periosteal cases, the periosteum was thickened, with one case being of equal signal, and the other having no signal. Two intracortical hemangiomas were both of slightly low signal on T1WI but hyperintense signal on T2WI. Conclusions The long bone hemangiomas had characteristic cystic honeycomb-like presentations in plain radiograph. CT and MRI imagings are helpful for diagnosis of hemangiomas in long bone.

scholarly journals Value of Magnetic Resonance Imaging Features in Diagnosis and Treatment of Breast Cancer under Intelligent Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shuang Liu ◽  
Min Tang ◽  
Shuqin Ruan ◽  
Feng Wei ◽  
Jiaxi Lu
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Breast Mri ◽  
Imaging Features ◽  
Mri Imaging ◽  
Resonance Imaging ◽  
Intelligent Algorithms ◽  
Mri Diagnosis ◽  
Diagnosis Model ◽  
Mri Image

This study was to analyze the clinical application value of magnetic resonance imaging (MRI) image features based on intelligent algorithms in the diagnosis and treatment of breast cancer and to provide an effective reference assessment for breast cancer diagnosis. The MRI diagnosis model (ACO-MRI) based on the ant colony algorithm (ACO) was proposed, which was compared with the diagnosis methods based on support vector machine (SVM) and proximity (KNN) algorithm, and the proposed algorithm was applied to MRI images to diagnose breast cancer. The results showed that the accuracy, sensitivity, and specificity of the ACO-MRI model were greater than those of the KNN and SVM algorithm. Moreover, the specificity was statistically considerable compared with the two algorithms of KNN and SVM ( P < 0.05 ). By comparing 1/5 number of ants and the average gray path of the ACO-MRI model under 1/8 number of ants, it was found that the average gray path value of 1/8 number of ants was greatly higher than the average gray path value of 1/5 number of ants ( P < 0.05 ). The differences in the overall distribution of breast MRI imaging features among Luminal A, Luminal B, HER-2 overexpression, and TN were compared. There were considerable differences in the overall distribution of the three breast MRI imaging features of the boundaries, morphology, and enhancement methods among the four groups ( P < 0.05 ). In short, MRI image based on the intelligent algorithm ACO-MRI diagnosis model can effectively improve the diagnosis effect of breast cancer. Its image feature boundaries, morphology, and enhancement methods had good imaging features in the diagnosis of breast cancer.

MP42-03 MRI IMAGING FEATURES DIFFERENTIATING PROSTATE CANCER FROM CHRONIC PROSTATITIS

2014 ◽  
Vol 191 (4S) ◽  
Author(s):  
Karen Buch ◽  
Ariel Hirsch ◽  
Muhammad M. Qureshi ◽  
Ashali Jain ◽  
Carl Jaffe ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Chronic Prostatitis ◽  
Imaging Features ◽  
Mri Imaging

scholarly journals CT and MRI Findings in Cerebral Aspergilloma

2017 ◽  
Vol 190 (10) ◽  
pp. 967-970 ◽  
Author(s):  
Friederike Gärtner ◽  
Julia Forstenpointner ◽  
Birgit Ertl-Wagner ◽  
Babak Hooshmand ◽  
Christian Riedel ◽  
...  
Keyword(s):  
Imaging Features ◽  
Mri Imaging ◽  
Mri Findings ◽  
Diffusion Restriction ◽  
Medical Centers ◽  
Key Points ◽  
Internal Side ◽  
Abscess Wall ◽  
Improve Clinical Outcome ◽  
Ct And Mri

Purpose Invasive aspergillosis usually affects immunocompromised patients. It carries a high risk of morbidity and mortality and usually has a nonspecific clinical presentation. Early diagnosis is essential in order to start effective treatment and improve clinical outcome. Materials and Methods In a retrospective search of the PACS databases from two medical centers, we identified 9 patients with histologically proven cerebral aspergilloma. We systematically analyzed CT and MRI imaging findings to identify typical imaging appearances of cerebral aspergilloma. Results CT did not show a typical appearance of the aspergillomas. In 100 % (9/9) there was a rim-attenuated diffusion restriction on MRI imaging. Multiple hypointense layers in the aspergillus wall, especially on the internal side, were detected in 100 % on T2-weighted imaging (9/9). Aspergillomas were T1-hypointense in 66 % of cases (6/9) and partly T1-hyperintense in 33 % (3/9). In 78 % (7/9) of cases, a rim-attenuated diffusion restriction was detected after contrast agent application. Conclusion Nine cases were identified. Whereas CT features were less typical, we observed the following imaging features on MRI: A strong, rim-attenuated diffusion restriction (9/9); onion layer-like hypointense zones, in particular in the innermost part of the abscess wall on T2-weighted images (9/9). Enhancement of the lesion border was present in the majority of the cases (7/9). Key points  Citation Format

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