MR image features predicting hemorrhagic transformation in acute cerebral infarction: a multimodal study

Liu, Chunming; Dong, Zhengchao; Liang, Xirong; Khursheed, Aiman; Dong, Longchun; Liu, Zhenxing; Yang, Junjun; Liu, Jun

doi:10.1007/s00234-015-1575-8

Cited by 14 publications

(9 citation statements)

References 46 publications

(49 reference statements)

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“…Compared with X-rays and CT, MRI has been used later in clinical medicine and mainly uses static and radiofrequency magnetic fields to form clear images of human tissues with high contrast, which neither requires the use of contrast agents nor is affected by electronic radiation, and is now mostly used in clinical practice to diagnose brain tissue lesions and neurological disorders [ 12 ]. In this study, MRI was used to diagnose thoracic tumors as a way to broaden the prospects of MRI application and to explore new ideas for early diagnosis of thoracic diseases.…”

Section: Discussionmentioning

confidence: 99%

“…For example, if there is only a small amount and subtle degree of calcification appears in the tumor tissue in the early stage, the diagnostic sensitivity of MRI is not high, and it still needs to be combined with X-ray for diagnosis [ 19 , 20 ]. Moreover, the thoracic tumor tissue is complex, and when benign and malignant tumors exist at the same time, the overlapping effects will interfere with MRI diagnosis, and other three-dimensional effects are also needed to cooperate with multiangle and multilevel collection of impact information [ 12 ]. In addition, the price of clinical MRI diagnosis is higher compared with the routinely used X-ray and CT, and it is also difficult for comprehensive popularization [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

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Study on the Effect of MRI in the Diagnosis of Benign and Malignant Thoracic Tumors

Sui²,

Chi³

et al. 2021

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In order to investigate the effectiveness and accuracy of magnetic resonance imaging (MRI) in the diagnosis of benign and malignant thoracic tumors, the research retrospectively selected 80 patients with thoracic tumors admitted from May 2019 to May 2020 as the study subject and all patients were underwent MRI detection. Using pathological diagnostic results as the gold standard, the research analyzed the detection of benign and malignant thoracic tumors by MRI, as well as the diagnostic sensitivity and specificity. After pathological diagnosis, there were 35 malignant tumors and 45 benign tumors. 41 cases of malignant tumors and 39 cases of benign tumors were diagnosed by MRI, with a diagnostic sensitivity of 80.00%, a diagnostic specificity of 71.11%, and a diagnostic compliance rate of 75.00%. In the MRI diagnosis of tumors in different parts of the chest, the diagnostic sensitivity for lung tumors, mediastinal tumors, chest wall tumors, and esophageal tumors was 83.33%, 71.43%, 83.33%, 75.00%, and 87.50%, respectively, and the specificity was 66.67%, 77.78%, 57.14%, 50.00%, and 91.67% according to and breast tumors, respectively. And the accuracy was 73.33%, 75.00%, 69.23, 62.50%, and 90.00%, respectively, with the highest diagnostic sensitivity, specificity, and accuracy for breast tumors. MRI has a good effect on the diagnosis of benign and malignant thoracic tumors and has a high diagnostic value, which is helpful to identify the location, nature, source, and lesion scope of the tumor. It is safe and worthy of promotion.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Study on the Effect of MRI in the Diagnosis of Benign and Malignant Thoracic Tumors

Sui²,

Chi³

et al. 2021

Disease Markers

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“…No obvious signal is fund by in enhancement scanning. Before cerebral infarction, with a treatment of arteriography, irregular artery development and wall with smooth and wide range are observed by MRI [29]. After cerebral infarction, homogeneous of heterogeneous low-density signal of infarction are observed by CT. Outward extended bottom margin of infraction with triangular and fan-shape, and boundary from unclear to clear is detected.…”

Section: Discussionmentioning

confidence: 99%

Preliminary Study of Nine HIV-Associated Central Nervous System Complications from Imaging Analysis

Liu¹

2019

Med Case Rep J

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The central nervous system (CNS) is preferentially vulnerable to HIV infection with respect of chronic exposure to HIV in the brain as well as combination infection of HIV and opportunistic pathogens that can lead to cognitive impairment. In order to shed light of characterizations of HIVassociated CNS complications, 9 HIV-associated CNS complications were analyzed by computed tomography (CT) and magnetic resonance imaging (MRI). In the 9 cases, characterizations of HIV-associated encephalitis, HIV-associated encephalitis of toxoplasma infection, cytomegalovirus infection, cryptococcosis infection and herpes simplex infection, HIVassociated white matter complication, HIV-associated cerebral infarction, HIV-associated cerebral encephalitis of syphilis infection, and HIVassociated cerebral glioma were detected by imaging. These HIV-associated CNS complications not only respectively showed few common features of non-HIV-associated CNS complications, but exhibited specific traits. HIVassociated CNS complications showed typical clinical and radiological presentations are sufficient to establish the diagnosis.

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“…This practice has been widely used in clinical diagnosis and medical research. For example, a routine protocol of MRI examination of a stroke patient may include T1-weighted, T1-weighted high-resolution structural MRI scans, diffusion-weighted imaging, SWI, etc [4, 5] . A protocol of an MRI study of a psychiatric disorder may contain a combination of structural MRI, functional MRI, MR spectroscopic imaging, etc [6, 7] .…”

Section: Introductionmentioning

confidence: 99%

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

et al. 2020

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Highlights We analysed over 450 references from all well-famed databases. We provided a comprehensive survey on multimodal data fusion in neuroimaging. This review encompassed current challenges & applications, strengths &limitations. Fundamental fusion rules, and fusion quality assessment methods were reviewed. Atlas-based fusion segmentation, quantification, & applications were reviewed.

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MR image features predicting hemorrhagic transformation in acute cerebral infarction: a multimodal study

Abstract: The frequency of HT is 19.5 % in this study. CMBs, rADC, and venous anomalies are independent risk factors for HT of acute cerebral infarction.

Cited by 14 publications

References 46 publications

Study on the Effect of MRI in the Diagnosis of Benign and Malignant Thoracic Tumors

Study on the Effect of MRI in the Diagnosis of Benign and Malignant Thoracic Tumors

Preliminary Study of Nine HIV-Associated Central Nervous System Complications from Imaging Analysis

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

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