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<title>Chinese Journal of Magnetic Resonance Imaging RSS feed</title>
<link>http://med-sci.cn/cgzcx/en/contents_list.asp?issue=201907</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[The value of DWI and minimum ADC value in grading diagnosis of adult intracranial ependymoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.001</link>
<description><![CDATA[Objective: To investigate the value of diffusion weighted imaging (DWI) and minimum apparent diffusion coefficient (ADC) value in the differential diagnosis of adult intracranial ependymoma and anaplastic ependymoma. Materials and Methods: Retrospective analysis of preoperative clinical data, DWI characteristics, and measurement of tumors in 15 cases of adult intracranial ependymoma and 10 cases of interstitial ependymoma confirmed by surgery and pathology from January 2015 to March 2019 in our hospital. The minimum ADC value of the substantial part and the difference between the two were compared using the receiver operating characteristic curve (ROC curve) to analyze the diagnostic performance of the minimum ADC value. Results: In 15 cases of ependymoma, 9 cases of DWI showed a slightly higher signal in the parenchyma, and 6 cases showed an equal low signal, and the minimum ADC value was (0.992±0.191)×10-3 mm2/s. In 10 cases of anaplastic ependymoma, 7 cases of parenchyma showed slightly higher or higher signal on DWI, 3 cases showed slightly lower signal, and the minimum ADC value was (0.725±0.101) ×10-3 mm2/s. The difference in the minimum ADC value of the parenchymal part of the tumor was statistically significant (t=4.563, P＜0.001). The results of ROC curve showed that the AUC value was 0.883, and the minimum ADC value was 0.872×10-3 mm2/s. The sensitivity of differential diagnosis of the two tumors was 80% and the specificity was 90%. Conclusions: DWI and minimum ADC value can be used as a new method for differential diagnosis of adult intracranial ependymoma and anaplastic ependymoma.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of diffusion kurtosis imaging in diagnosis of early Parkinson<sup><sup>,</sup></sup>s disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.002</link>
<description><![CDATA[Objective: To investigate the value of magnetic resonance diffusion kurtosis imaging (DKI) in the diagnosis of early Parkinson's disease (PD). Materials and Methods: From September 2017 to September 2018, 21 patients with primary early PD diagnosed by PD Department of First Hospital of Shanxi Medical University (Hoeh-Yahr grade 1—2.5) were selected. In the same period, 20 healthy volunteers with matched age and gender were also enrolled as the healthy control (HC). All subjects underwent brain routine magnetic resonance imaging (MRI) and DKI. After the DKI raw data were processed, fractional anisotropy (FA), a mean diffusivity (MD), and a mean kurtosis (MK) maps were obtained. The DKI parameters of bilateral substantia nigra (SN), caudate nucleus (CN), globus pallidus (GP), putamen (PU), and thalamus (TH) were measured and the statistical differences between the two groups were compared. The correlation between the parameters of the early PD patients and the disease course and clinical scores were analyzed. The diagnostic efficiency of statistically significant parameter values for early PD patients was evaluated by receiver operating characteristic (ROC) curves. Results:  Compared with 20 healthy volunteers, the FA values of the bilateral caudate nucleus, globus pallidus, putamens and thalamus were significantly lower in early PD patients (P＜0.05); the MK values of bilateral substantia nigra were significantly increased (P＜0.05). The MK value of the right substantia nigra in the PD group was negatively correlated with the Hoeh-Yahr grade (P＜0.05, t=0.076). Conclusions: DKI has certain application value in detecting the pathological changes of gray matter nucleus in the brain of early PD patients, and the FA values of the bilateral putamen are more sensitive to the diagnosis of early PD patients, and the MK values of bilateral substantia nigra have more specificity.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI characteristics of fetal intracranial hemorrhage in 120 cases]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.003</link>
<description><![CDATA[Objective: To analyze prenatal MRI characteristics of fetal intracranial hemorrhage (ICH) and serve it as a reference for antenatal diagnosis and counseling. Materials and Methods: From January 2011 to October 2018, medical records of fetuses with ICH detected by MRI in our institution were successively collected to analyze baseline and MRI characteristics of the condition. Depending on hemorrhagic location, all cases were divided into periventricular hemorrhage-intraventricular hemorrhage (PVH-IVH) group and Non-PVH-IVH group to make a between-group contrast with respect to baseline and MRI appearance. Besides, the association between hemorrhagic characteristics and coexistent intracranial anomalies was explored. Pregnancy and postnatal outcome were also followed up. Results: One hundred and twenty cases were included for analysis. Among them, bleeding onset between late second trimester and early third trimester was common. Periventricular and intraventricular area above tentorial was the common hemorrhagic location (79.17%). Fetal ICH was detected in subacute stage in 80.00% of cases and presented as single hemorrhagic focus in 58.33% of cases. Median of maximal transverse-section area of hemorrhage that can be measured was 238 mm2. The most common intracranial anomaly coexistent with fetal ICH was ventriculomegaly (50.83%). Apart from that, 40.00% of fetal ICH coexisted with other abnormalities. While the proportion of ventriculomegaly was higher in PVH-IVH group than in Non-PVH-IVH group (60.00% vs 16.00%, P＜0.001), other anomalies distributed more in the latter group than in the former group (60.00% vs 34.74%, P=0.022). PVH-IVH or not was associated with ventriculomegaly (OR=7.875, 95%CI [2.505, 24.755]) and other intracranial anomalies (OR=0.355, 95%CI [0.114, 0.887]). Among nine cases of livebirth with prenatal ICH, there were seven cases of PVH-IVH and two cases of Non-PVH-IVH. In two cases infant with prenatal grade 1 and grade 2 IVH respectively presented with growth backward and in another case newborn with grade 4 IVH died in a week after birth. Two cases of infants with prenatal non-PVH-IVH did not reveal obvious abnormality during follow up period. Conclusions: Fetal ICH presents prominent characteristics on prenatal MRI. Additional anomalies are not uncommon and its distribution associate with hemorrhagic location. PVH-IVH origins from germinal matrix in most situation and its prognosis can be roughly predicted by IVH grading. The possibility of vascular malformation origin should be aware in Non-PVH-IVH and further research is needed to do to explore its prognosis.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Assessment of myelination progression in subcortical white matter of infant with periventricular leukomalacia using T2-weighted imaging based visual scoring method]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.004</link>
<description><![CDATA[Objective: The purpose of this study was to assess the subcortical white matter (WM) myelination progress via T2-weighted imaging (T2WI) based visual scoring method in the infant of periventricular leukomalacia (PVL) during age of 6—20 months and validate the applicability of this scoring method in screening abnormal WM myelination progress in infant with PVL. Materials and Methods: We retrospectively recruited infant with diagnosis of PVL, and infant without abnormalities on MRI during age of 6—20 months from November 2010 to June 2017. Infant with PVL were divided into three groups: mild, moderate and severe. Subcortical WM myelination progress of infant in control group, PVL groups was assessed via the T2WI-based visual scoring method. Then myelination scores of regional and whole brain were compared between different PVL groups and control group using Mann-Whitney U test. Then linear regression and Spearman correlations were applied to assess the association between myelination score and age in the control and PVL groups. Results: In this study, the significant difference in subcortical WM myeliantion score of parietal lobe was found between mild PVL group and control group (P=0.033); and except temproal lobe, other brain lobes were observed differences in subcortical WM myeliantion score between moderate, severe PVL groups and control group. The positive linear correlations between age and the myeliantion score were found in both PVL groups and control group (P＜0.05). And the correlation coefficients of control group were higher than PVL groups. Conclusions: The T2WI-based visual scoring method was useful and applicable in screening myelination progress of the moderate and severe PVL in infant aged 6—20 months in clinic.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Magnetic resonance imaging assessment of isocitrate dehydrogenase 1 mutation status in degenerative astrocytoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.005</link>
<description><![CDATA[Objective: To analyze the MRI features of the isocitrate dehydrogenase 1 (IDH-1) mutant and the IDH-1 wild type of the anaplastic astrocytoma. Materials and Methods: Forty-five cases of anaplastic astrocytoma confirmed by surgery and pathology were selected, including 20 cases of IDH-1 mutation and 25 cases of IDH-1 wild type. All cases underwent conventional MRI sequence enhanced T1WI, T2WI, FLAIR, DWI and T1WI. The sex, age, location, number of lesions, tumor boundary, cystic degeneration and necrosis, hemorrhage, tumor maximum diameter, edema maximum diameter, enhancement degree, minimum apparent diffusion coefficient (mADC) value, ratio of mADC (rmADC) were statistically analyzed. Results: In the anaplastic astrocytoma, the IDH-1 mutant appeared in the right frontal lobe, and the IDH-1 wild type occurred in the left frontal lobe. There was a statistical difference between the two groups (P＜0.05). The IDH-1 mutant had cystic necrosis accounted for 45%, and the wild type accounted for 75%. There was a statistically significant difference between the two groups (P＜0.05). The degree of enhancement was non-enhanced, mildly enhanced, moderately enhanced, and severely enhanced. The IDH-1 mutants accounted for 25%, 50%, 20%, and 5%, respectively, and the IDH-1 wild type accounted for 8%, 12%, and 52%, respectively. 28%, there was a statistical difference between the two groups (P＜0.05). The maximum diameter of the IDH-1 mutant tumor (50.01±19.11 mm) was smaller than that of the IDH-1 wild type (64.58±11.52 mm). The mean value of mADC in IDH-1 mutation group was (1.17±0.20)×10-3 mm2/s, the mean value of mADC in IDH-1 wild group was (0.84±0.14)×10-3 mm2/s; the mean value of rmADC in IDH-1 mutation group was (0.16±0.04)×10-3 mm2/s, the mean value of rmADC in IDH-1 wild group was (0.13±0.02)×10-3 mm2/s, and there was statistical difference between the two groups (P＜0.05). There was no significant difference between the two groups in sex, age, number of lesions, tumor margin, presence or absence of hemorrhage or edema (P＞0.05). Conclusions: The occurrence of anaplastic astrocytoma, the rate of cyst necrosis, the degree of enhancement, the maximum diameter of the tumor, the mADC value, and the rmADC value can be used to evaluate the IDH-1 mutation status of the anaplastic glioma before surgery, and then guide the clinical individualized treatment plan. And prognosis assessment.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[The diagnostic value of three-dimensional real inversion recovery MR imaging in the inner ear lymphography in patients with meniere<sup><sup>,</sup></sup>s disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.006</link>
<description><![CDATA[Objective: To compare the diagnostic value of three-dimensional fluid-attenuated inversion recovery (3D FLAIR) and 3D real inversion recovery (3D real IR) sequence after intratympanic injection of Gadolinium-diethylene triamine pentaacetic acids (Gd-DTPA) in the visualization of endolymphatic hydrops (EH) in patients with meniere's disease (MD). Materials and Methods: Twenty-nine patients with MD were included in this study. There were 10 men and 19 women, aged from 22 to 71. Twelve patients had MD in bilateral ears and 17 patients had MD in unilateral ear. A total of 41 ears were involved. The EH in the vestibule and cochlea of 41 sick ears of 29 MD patients was retrospectively quantitatively and qualitatively analyzed. The bilateral ears of all the patient were intratympanic injected with diluted Gd-DTPA. After 24 hours, both 3D FLAIR and 3D real IR sequence were performed. The ratio (R) of the area of the endolymphatic space to the sum of the endolymphatic and perilymphatic space was measured in these two sequences (RV in the vestibule and RC in the cochlea). And the grading (G) of EH was assessed (GV in the vestibule, GC in the cochlea). Corresponding statistical methods were used to compare the RV, RC, GV and GC acquired from the two sets of sequence images. Results: Among 41 ears in 29 patients, the RV, RC, GC and GV from the two sequences were statistically different (PRV=0.000, PRC=0.000, PGV=0.000, PGC=0.001). The RV and RC of the 3D real IR sequence were larger than those of the 3D FLAIR sequence, and the number of sick ears which’s GV and GC ranged 1—2 (ie, found EH) was greater than that of the 3D FLAIR sequence. Conclusions: Compared with the 3D FLAIR sequence, the 3D real IR sequence is more sensitive for the detection of EH in MD patients and has a higher detection rate.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of histogram-based apparent diffusion coefficient in distinguishing hepatocellular carcinoma from intrahepatic cholangiocarcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.007</link>
<description><![CDATA[Objective: To explore the application of histogram analysis of apparent diffusion coefficient (ADC) maps in differentiation of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). Materials and Methods: One hundred and twenty-five patients (84 patients with 84 HCCs and 41 patients with 41 ICCs) who underwent preoperative routine abdomen MRI sequences, Gd-EOB-DTPA enhanced MRI and DWI were evaluated in this retrospectively study. The entire tumor ADC values derived from histogram anlysis (including ADC_min, ADC_5th, ADC_25th, ADC_75th, ADC_95th, ADC_max, ADC_mean, ADC_median, skewness and kurtosis) were calculated. The comparison of ADC value were performed by the Student's t test or Mann-Whitney U test. ROC analysis was used to assess the diagnostic performance of ADC histogram in distinguishing the two pathological types of primary liver cancer. The chi-square test was used to compare the diagnostic ability of Gd-EOB-DTPA dynamic enhancement scan (group A) with that of ADC histogram parameters (group B) with the maximum diagnostic efficacy. Results: The ADC_75th, ADC_95th, ADC max, ADC_mean and ADC median of intrahepatic cholangiocarcinoma were significant higher than those of hepatocellular carcinoma (P＜0.05), ADC_min of hepatocellular carcinoma intrahepatic was higher in comparison to intrahepatic cholangiocarcinoma (P＜0.05),  There was no significant difference between two groups in ADC_5th, ADC_25th, skewness and kurtosis (P＞0.05). ADC_max achieved the largest AUC (0.901) in differentiating HCC and ICC, when cutoff value was 2.65×10-3 mm2/s, the sensitivity and specificity were 82.6% and 86.9%. The specificity of group B was higher than that of group A, and the difference was statistically significant (P＜0.05). Conclusions: ADC histogram could be used to differentiate HCC from ICC, and the ADC_max is the most optimal parameter.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Intravoxel incoherent motion diffusion weighted imaging and T1 mapping for the evaluation of autoimmune pancreatitis: a clinical study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.008</link>
<description><![CDATA[Objective: To evaluate the diagnostic performance of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and T1 mapping for the evaluation of autoimmune pancreatitis (AIP). Materials and Methods: A total of 26 patients with AIP confirmed by pathology and clinical evaluation, 18 healthy volunteers and 39 patients with pancreatic cancer (PC) confirmed histologically underwent IVIM-DWI and T1 mapping with 9 different b values (0, 25, 75, 100, 150, 200, 500, 800 and 1000 s/mm2). The difference of T1 value and IVIM-DWI imaging parameters [true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f)] were analyzed between normal pancreas, PC and AIP groups. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic performance of the D, D* and f for differentiation between AIP and PC, and AIP and normal pancreas. Results: The mean f value in normal pancreas, PC and AIP was (20.6±4.2)%, (12.0±3.7)% and (9.1±3.1)%, respectively, with statistical difference among groups (P＜0.001). The diagnostic performance of f value [area under the ROC curve (AUC) of 0.970 and 0.747, respectively] in differentiating normal pancreas from AIP, and AIP from PC was better than that of T1 value (AUC=0.949, 0.685), D (AUC: 0.513 and 0.582) and D* (AUC: 0.825 and 0.493). Conclusions: Perfusion fraction f by IVIM-DWI is a promising method in differential diagnosis of AIP.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of texture analysis in dynamic contrast-enhanced MRI for differentiation of renal cell carcinoma subtypes]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.009</link>
<description><![CDATA[Objective: To evaluate the diagnostic performance of three-dimensional (3D) texture analysis (TA) in dynamic contrast-enhanced (DCE) MRI for the classification of clear cell (ccRCC), papillary (pRCC) and chromophobe renal cell carcinoma (ChRCC). Materials and Methods: A retrospective review was performed on patients with ccRCCs (n=74), pRCCs (n=22) or ChRCCs (n=17) confirmed by pathology. Corticomedullary phase, nephrographic phase and delayed phase CE-MR images obtained from all the patients were used for texture analysis. 314 3D texture features were extracted from each of the three image series, and 30 important features were selected separately for each pair of ccRCCs, pRCCs and ChRCCs. Texture analysis was performed using raw data analysis, principle component analysis and linear discriminant analysis, and nonlinear discriminant analysis. Classification accuracy, sensitivity, specificity and area under the receiver operator characteristics curve (AUC) were calculated. Results: For ccRCC vs pRCC, the classification accuracy, sensitivity and specificity of 3D TA in DCE-MRI were up to 88.54%, 91.89% and 77.27% (AUC=0.846), for ccRCC vs ChRCC, the classification accuracy, sensitivity and specificity were up to 95.60%, 97.30% and 88.24% (AUC=0.928), for pRCC vs ChRCC, the classification accuracy, sensitivity and specificity were up to 79.49%, 72.73% and 88.24% (AUC=0.805). For all the pairs of ccRCCs, pRCCs and ChRCCs, classification performed the best in nonlinear discriminant analysis (AUC 0.707—0.928) within each of the three image series. Conclusions: The three-dimensional texture analysis in DCE-MRI can be a reliable quantitative approach for differentiating ccRCC from pRCC or ChRCC and pRCC from ChRCC.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[The differential diagnosis value of MRI apparent diffusion coefficient value combined with dynamic contrast enhanced MRI time-intensity curve type for mass plasma cell mastitis and breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.010</link>
<description><![CDATA[Objective: To investigate the differential diagnosis value of MRI apparent diffusion coefficient (ADC) and relative apparent diffusion coefficient (rADC) combined with dynamic contrast enhanced MRI (DCE-MRI) time-intensity curve (TIC) for mass plasma cell mastitis (PCM) and breast cancer. Materials and Methods: MRI data of 21 cases of mass PCM and 31 cases of breast cancer confirmed by pathology were retrospectively analyzed. The mean ADC values of lesions, ipsilateral ectopectoralis and contralateral breast glands were measured, then calculate the mean relative apparent diffusion coefficient (rADC) values. TIC was drafted according to DCE-MRI data. MRI findings and TIC types of mass PCM and breast cancer were compared by χ2 test or Fisher exact probability test. The mean ADC and rADC values were compared by independent sample t test. P＜0.05 was considered statistically significant. Based on the pathological results, the non-parametric receiver operating characteristic curve (ROC) of ADC and rADC values was drawn. A logistic regression analysis was conducted to calculate the combination factors of ADC, rADC values combined with TIC types, then ROC of the factors was drafted to figure out the differential diagnosis value of combination test for mass PCM and breast cancer. Results: Mass PCM lesions were mostly located in the posterior area of areola with an irregular shape and rough margins, and often accompanied by duct dilatation. In DCE-MRI, PCM lesions generally showed significant enhancement, and the TIC types were generally Ⅰ or Ⅱ (90.5%). The mean ADC, rADC1, and rADC2 values of PCM were (1.17±0.09)×10-3 mm2/s, 0.79±0.08 and 0.61±0.10, these values were higher than those of breast cancer, and the difference were statistically significant (P＜0.05). The diagnostic threshold of mean ADC value was 1.47×10-3 mm2/s, the area under the curve (AUC) was 0.897, the sensitivity was 95.2%, and the specificity was 77.4%. The specificity of the mean rADC value is higher than the mean ADC value. When combined with TIC type, the diagnostic efficiency and sensitivity of ADC and rADC values increased, and the specificity increased except for rADC1. Conclusions: The mean ADC, rADC values have differential diagnostic value for mass PCM and breast cancer, the diagnostic efficiency is increased when DCE-MRI TIC types were combined.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[The applied value of multiparametric MRI in differentiating uterine carcinosarcoma from low risk endometrial carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.011</link>
<description><![CDATA[Objective: To explore the applied value of quantitative and qualitative magnetic resonance imaging (MRI) parameters in differentiating uterine carcinosarcoma (CS) from low risk endometrial carcinoma (EC). Materials and Methods: Eighteen CS and 30 low risk EC confirmed by surgery were retrospectively analysed. The following MRI features of the tumors were evaluated: tumor morphology, maximum tumor diameter, ET/AP, the integrity of junction zone, hemorrhagic, necrotic/cystic components, flow voids, mean ADC values (mADC), relative ADC values (rADC), maximum relative enhancement ratio (MRER) and Washout. Results: There were significant differences between CS and EC in the following qualitative parameters: hemorrhagic, necrotic/cystic components and flow voids (P＜0.05). For quantitative MRI parameters, maximum dimension, ET/AP, MRER and Washout could significantly distinguish CS from low risk EC (P＜0.05). According to the receiver operating characteristic (ROC) curves, when the cut-off values of maximum dimension, ET/AP, MRER and Washout were 37.5 mm, 0.474, 1.299 and 0.021, the sensitivity and specificity of the diagnosis were 83.3%, 83.3%; 88.9%, 83.3%; 94.4%, 96.7%; 100.0%, 72.2%; respectively. Conclusions: Qualitative and quantitative MRI parameters were of great value in differentiating CS from low risk EC. The maximum diameter, ET/AP, MRER and Washout could be used as optimization parameters to provide imaging information for adequate clinical treatment.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Quantitative DCE-MRI and QCT were used to evaluate the bone marrow microvascular permeability and trabecular changes in diabetic rabbit models induced by alloxan]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.012</link>
<description><![CDATA[Objective: To quantitatively evaluate the bone marrow microvascular permeability and trabecular changes induced by alloxan in diabetic rabbit model via dynamic contrast enhanced MRI (DCE-MRI) and quantitative CT (QCT). Materials and Methods: Eighteen rabbits were randomly divided into the diabetes group (n=14) and the control group (n=10). Fse-T1WI, Fse-T1WI, DCE-MRI examination and CT imaging were performed at each time point (0, 4, 8, 12 and 16 weeks) after the model had been established successfully. DCE-MRI quantitative perfusion parameters of lumbar bone marrow were obtained by fitting the pharmacokinetic model, including volume transfer constant (Ktrans), efflux rate constant (Kep) and extracellular extravascular volume fraction (Ve). QCT software was applied to measure Lumbar vertebral density (BMD). Lumbar vertebral specimens were collected at week 16 for HE staining to calculate the morphometric parameters of bone trabeculae, including the number of bone trabeculae (Tb.N) and the area of bone trabeculae (Tb.Ar). Results: Osmotic parameters Kep  and Ve at different time points indicated statistically significant differences in the control group (P＜0.001), which was not significant different in the diabetes group (P＞0.05). In the control group, the Kep of lumbar spine showed a descending trend from week 4 to week 12, while Ve displayed an rising trend from week 4 to week 12 and declined from week 16. There was no significant difference in BMD between the control group and the diabetes group at different time points (P＞0.05).The results of HE staining exhibited that the number and area of bone trabeculae were decreased in the diabetic group at week 16. The trabecular bone area and trabecular bone count was lower than that of the control group (t=12.472, t=4.961, P＜0.001). Pearson correlation analysis results showed that there was no correlation between Tb.N and Ktrans, Kep and Ve (r values: 0.135, 0.093 and -0.118), as well as Tb.Ar and Ktrans, Kep and Ve (r values: 0.233, -0.008 and -0.0.095, P＞0.05). No significant correlation was observed between BMD with Ktrans, Kep and Ve (r values:0.497, 0.513 and -0.310, P＞0.05). Conclusions: The changes of bone marrow microvascular permeability parameters of the lumbar spine in diabetes mellitus rabbits induced by alloxan in the early stage of disease were not correlated with bone mineral density and trabecular morphometrics parameters, and the differences of bone marrow BMD measured by QCT were later than those of bone trabecular morphometrics.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Impacts of magnetic resonance imaging noise on hearing function in fetus and infants]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.013</link>
<description><![CDATA[Magnetic resonance imaging (MRI) has been increasingly used for fetus and infants. The produced acoustic noise at MRI scan may cause hearing injury with improper hearing protection. Numerous studies have reported the auditory effects of MRI noise on adults. The fetus and infants present remarkably different auditory anatomy and function, and vulnerability to noise in contrast to adults. The systematic review concerning the impacts of MRI noise on this population is lacking. Thus, this article will introduce the auditory development, summarize the mechanism of noise-induced hearing impairment, and review the previous studies on the impact of MRI noise in fetus and infants for providing a useful reference in improving the safety of MRI examination.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in artificial intelligence of cardiovascular imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.014</link>
<description><![CDATA[Cardiovascular disease is the first cause of death in China, accompanied with increasing incidence year by year. In recent years, with the rapid development of artificial intelligence, how to better integrate artificial intelligence with cardiovascular imaging, and subsequently participate in the diagnosis and treatment of cardiovascular diseases is the key point and hotspots of future research. This paper will review the application and development of artificial intelligence in cardiovascular imaging.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in dynamic contrast-enhanced magnetic resonance imaging in predicting tumor prognosis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2019.07.015</link>
<description><![CDATA[In recent years, the prognosis of neoplastic diseases has been paid attention to during clinical diagnosis and treatment. At present, there are many advances in the study of prognosis prediction of tumor diseases by multimodal magnetic resonance imaging. Dynamic contrast-enhanced magnetic resonance imaging is a kind of multi-modal magnetic resonance. It can be based on the perfusion and permeation of tumor tissue microvascular system. Through continuous and rapid imaging methods, images before and after injection of contrast agent can be obtained, combined with semi-quantitative and quantitative analysis. From the perspective of microcirculation, the microscopic condition of the lesion is analyzed, and the dynamic data analysis is carried out by quantitative or semi-quantitative methods. The characteristics of the tumor are evaluated from different aspects, and it has been widely used in the prognosis prediction of tumor diseases. In this paper, the research progress of dynamic contrast-enhanced magnetic resonance imaging in the prediction of tumor disease prognosis is reviewed, and its clinical application value is clarified.]]></description>
<pubDate>Sat,20 Jul 2019 00:00:00  GMT</pubDate>
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