scholarly journals Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI

2021 ◽  
Vol 54 (4) ◽  
pp. 211-218
Author(s):  
Judith Eva Spiro ◽  
Adrian Curta ◽  
Shiwa Mansournia ◽  
Constantin Arndt Marschner ◽  
Stefan Maurus ◽  
...  

Abstract Objective: To evaluate the performance of 1.5 T true fast imaging with steady state precession (TrueFISP) magnetic resonance imaging (MRI) sequences for the detection and characterization of pulmonary abnormalities caused by coronavirus disease 2019 (COVID-19). Materials and Methods: In this retrospective single-center study, computed tomography (CT) and MRI scans of 20 patients with COVID-19 pneumonia were evaluated with regard to the distribution, opacity, and appearance of pulmonary lesions, as well as bronchial changes, pleural effusion, and thoracic lymphadenopathy. McNemar’s test was used in order to compare the COVID-19-associated alterations seen on CT with those seen on MRI. Results: Ground-glass opacities were better visualized on CT than on MRI (p = 0.031). We found no statistically significant differences between CT and MRI regarding the visualization/characterization of the following: consolidations; interlobular/intralobular septal thickening; the distribution or appearance of pulmonary abnormalities; bronchial pathologies; pleural effusion; and thoracic lymphadenopathy. Conclusion: Pulmonary abnormalities caused by COVID-19 pneumonia can be detected on TrueFISP MRI sequences and correspond to the patterns known from CT. Especially during the current pandemic, the portions of the lungs imaged on cardiac or abdominal MRI should be carefully evaluated to promote the identification and isolation of unexpected cases of COVID-19, thereby curbing further spread of the disease.

Author(s):  
Martina Pecoraro ◽  
Stefano Cipollari ◽  
Livia Marchitelli ◽  
Emanuele Messina ◽  
Maurizio Del Monte ◽  
...  

Abstract Purpose The aim of the study was to prospectively evaluate the agreement between chest magnetic resonance imaging (MRI) and computed tomography (CT) and to assess the diagnostic performance of chest MRI relative to that of CT during the follow-up of patients recovered from coronavirus disease 2019. Materials and methods Fifty-two patients underwent both follow-up chest CT and MRI scans, evaluated for ground-glass opacities (GGOs), consolidation, interlobular septal thickening, fibrosis, pleural indentation, vessel enlargement, bronchiolar ectasia, and changes compared to prior CT scans. DWI/ADC was evaluated for signal abnormalities suspicious for inflammation. Agreement between CT and MRI was assessed with Cohen’s k and weighted k. Measures of diagnostic accuracy of MRI were calculated. Results The agreement between CT and MRI was almost perfect for consolidation (k = 1.00) and change from prior CT (k = 0.857); substantial for predominant pattern (k = 0.764) and interlobular septal thickening (k = 0.734); and poor for GGOs (k = 0.339), fibrosis (k = 0.224), pleural indentation (k = 0.231), and vessel enlargement (k = 0.339). Meanwhile, the sensitivity of MRI was high for GGOs (1.00), interlobular septal thickening (1.00), and consolidation (1.00) but poor for fibrotic changes (0.18), pleural indentation (0.23), and vessel enlargement (0.50) and the specificity was overall high. DWI was positive in 46.0% of cases. Conclusions The agreement between MRI and CT was overall good. MRI was very sensitive for GGOs, consolidation and interlobular septal thickening and overall specific for most findings. DWI could be a reputable imaging biomarker of inflammatory activity.


1987 ◽  
Vol 66 (6) ◽  
pp. 865-874 ◽  
Author(s):  
Patrick J. Kelly ◽  
Catherine Daumas-Duport ◽  
David B. Kispert ◽  
Bruce A. Kall ◽  
Bernd W. Scheithauer ◽  
...  

✓ Forty patients with previously untreated intracranial glial neoplasms underwent stereotaxic serial biopsies assisted by computerized tomography (CT) and magnetic resonance imaging (MRI). Tumor volumes defined by computer reconstruction of contrast enhancement and low-attenuation boundaries on CT and T1 and T2 prolongation on MRI revealed that tumor volumes defined by T2-weighted MRI scans were larger than those defined by low-attenuation or contrast enhancement on CT scans. Histological analysis of 195 biopsy specimens obtained from various locations within the volumes defined by CT and MRI revealed that: 1) contrast enhancement most often corresponded to tumor tissue without intervening parenchyma; 2) hypodensity corresponded to parenchyma infiltrated by isolated tumor cells or in some instances to tumor tissue in low-grade gliomas or to simple edema; and 3) isolated tumor cell infiltration extended at least as far as T2 prolongation on magnetic resonance images. This information may be useful in planning surgical procedures and radiation therapy in patients with intracranial glial neoplasms.


2003 ◽  
Vol 117 (12) ◽  
pp. 969-972 ◽  
Author(s):  
Wye-Keat Lim ◽  
Bhaskar Ram ◽  
Stephen Fasulakis ◽  
Kevin J. Kane

Plain X-rays, computed tomography (CT) and magnetic resonance imaging (MRI) scans performed for non-ENT reasons often reveal incidental sinus mucosal changes. These changes need to be correlated clinically before diagnosing rhinosinusitis. This study examined the prevalence of such changes in MRI scans in children up to age 16. Scans were scored using an adapted Lund-Mackay classification and were positive when one or more sinuses showed abnormalities. Randomly selected scans in the retrospective arm revealed a prevalence of 20 of 62 (32 3 per cent). In the prospective arm 45 of 60 children were defined as truly asymptomatic, of which 14 scans (31 per cent) were positive. Other studies in adults and children using CT and MRI report a prevalence range of roughly 30 to 45 per cent. This variability may be attributed to differences of study design, definitions of population age, definitions of asymptomatic and definition of abnormal sinus. Other plausible factors to explain regional differences are climate and frequency of upper respiratory tract infections.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bing Li ◽  
Yayong Huang ◽  
Yong Zhang ◽  
Sushant Kumar Das ◽  
Chuan Zhang ◽  
...  

AbstractThis experimental study evaluates the location of thoracic dorsal root ganglions (DRGs) through magnetic resonance imaging (MRI) scans, and evaluates the radiofrequency ablation (RFA) fraction of different puncture approaches on distinct DRG locations. Eight normal adult corpse specimens were used as thoracic spine specimens. An MRI examination was performed on each specimen using the following MRI sequences: STIR T2WI, fs-FRFSE T2WI, and 3D FIESTA-c. Then thoracic spine specimens (n = 14) were divided into three groups for RFA: Group A, using a transforaminal approach irrespective of DRG location; Group B, using a transforaminal, trans-lateral-zygapophysial or translaminar approach according to the DRG location; and Group C using a combination of puncture approaches. The quality of visualization of thoracic DRGs on STIR T2WI, fs-FRFSE T2WI, and 3D FIESTA-c scans were 53.5% (77/144), 88.2% (127/144), and 93.1% (134/144), respectively. In group A, the RFA fractions of the extraforaminal DRGs (N = 29), intraforaminal DRGs (N = 12) and intraspinal DRGs (N = 7) via a transforaminal approach were 72.6 ± 18.9%, 54.2 ± 24.8% and 32.9 ± 28.1% respectively. In group B, RFA of extraforaminal DRGs via a transforaminal approach (N = 43) or a trans-lateral zygapophysial approach (N = 45) led to ablation fractions of 71.9 ± 15.2% and 72.0 ± 17.9%, respectively; RFA of intraforaminal DRGs via a transforaminal approach (N = 14) or a translaminar approach (N = 16) led to ablation fractions of 57.1 ± 18.0% and 52.5 ± 20.6%, respectively; RFA of intraspinal DRGs via a transforaminal approach (N = 12) or a translaminar approach (N = 14) led to ablation fractions of 34.8 ± 24.6% and 71.8 ± 16.0%, respectively. In group C, the combined approach led to an ablation fraction for extraforaminal DRGs (N = 69) of 82.5 ± 14.1%, for intraforaminal DRGs (N = 39) of 81.5 ± 11.8%, and for intraspinal DRGs (N = 36) of 80.8 ± 13.3%. MRI can accurately assess DRG location before RFA. Adopting different and combined puncturing approaches tailored to different DRG locations can significantly increase the DRG RFA fraction.


2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P166-P166
Author(s):  
Harrison W Lin ◽  
Neil Bhattacharyya

Objectives Determine the correlation between computed tomography (CT)- and magnetic resonance imaging (MRI)-based staging and classification of chronic rhinosinusitis (CRS). Methods Paired CT and MRI scans of 89 adult patients who were imaged by both modalities within a 3-month time period for evaluation of pituitary disease were scored for sinus disease using the Lund-Mackay system in a randomized and blinded fashion. The Lund scores were compared for similarity, correlation, and diagnostic classification between modalities. Results The mean Lund scores were 2.3 ± 0.6 (95% CI) for CT-based staging and 2.1 ± 0.5 for MRI-based staging with a median time interval between scans of 3 days. The difference in means was not statistically significant (p=0.444, paired t-test). Correlation analysis revealed a significant association between CT- and MRI-based scores (Pearson's r=0.837, p<0.001). Disease classification agreement analysis using published Lund score cutoffs (3 versus 4) for the likelihood of true sinus disease revealed that CT- and MRI-based scoring agreed on 76 cases (85.4%). Disagreement in disease classification occurred in 13 cases (7 MRI positive but CT negative and 6 CT positive but MRI negative) for a kappa value of 0.557 (p<0.001). Conclusions Lund-Mackay staging of sinus disease by MRI is closely correlated to corresponding staging based on CT. MRI does not significantly over-stage or over-classify patients with sinus disease.


Author(s):  
Masakatsu Tsurusaki ◽  
Isao Numoto ◽  
Teruyoshi Oda ◽  
Miyuki Wakana ◽  
Ayako Suzuki ◽  
...  

To investigate the impact of radiologic experience on the diagnostic accuracy of computed tomography CT vs. magnetic resonance imaging (MRI) reporting for liver metastases of pancreatic ductal adenocarcinoma (LM of PDAC). Intra-individual CT and MRI examinations of 112 patients with clinically proven LM of PDAC were included. Four radiologists with varying years of experience (A &gt; 20, B &gt; 5, C &gt; 1 and D &lt; 1) assessed liver segments affected by LM of PDAC, as well as associated metastases occurring in each patient. Their sensitivity and specificity in evaluating the segments were compared. Cohen's Kappa (&kappa;) for diagnosed liver segments and Intra-class Correlation Coefficients (ICC) for the number of metastatic lesions in each patient were calculated. The radiologists&rsquo; sensitivity and specificity for the CT vs. MRI were, respectively: Reader A -94.4, 90.3% vs. 96.6, 94.8%; B - 86.7, 79.7% vs. 83.9, 82.0%; C - 78.0, 76.7% vs. 83.3, 78.9% and D - 71.8, 79.2% vs. 64.0, 69.5%. Reviewers A and B achieved greater agreement in assessing results from the MRI (&kappa; = 0.72, p &lt; 0.001; ICC = 0.73, p &lt; 0.001) vs. the CT (&kappa; = 0.58, p &lt; 0.001; ICC = 0.61, p &lt; 0.001), in contrast to readers C and D (MRI: &kappa; = 0.34, p &lt; 0.001; ICC = 0.42, p &lt; 0.001, and CT: &kappa; = 0.48, p &lt; 0.001; ICC = 0.59, p &lt; 0.001). Our results indicate that accurate diagnosis of LM of PDAC depends more on radiologic experience in MRI over CT scans.


2020 ◽  
Vol 46 (2) ◽  
pp. e5
Author(s):  
Hendrien Kuipers ◽  
Frederik Hoogwater ◽  
Jules Slangen ◽  
Marieke de Boer ◽  
Robbert de Haas

Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1455 ◽  
Author(s):  
Masakatsu Tsurusaki ◽  
Isao Numoto ◽  
Teruyoshi Oda ◽  
Miyuki Wakana ◽  
Ayako Suzuki ◽  
...  

The aim of this study was to investigate the impact of radiologic experience on the diagnostic accuracy of computed tomography (CT) vs. magnetic resonance imaging (MRI) reporting on the liver metastases of pancreatic ductal adenocarcinoma (LM of PDAC). Intra-individual CT and MRI examinations of 112 patients with clinically proven LM of PDAC were included. Four radiologists with varying years of experience (A > 20, B > 5, C > 1 and D < 1) assessed liver segments affected by LM of PDAC, as well as associated metastases occurring in each patient. Their sensitivity and specificity in evaluating the segments were compared. Cohen’s Kappa (κ) for diagnosed liver segments and Intra-class Correlation Coefficients (ICC) for the number of metastatic lesions in each patient were calculated. The radiologists’ sensitivity and specificity for the CT vs. MRI were, respectively: Reader A—94.4%, 90.3% vs. 96.6%, 94.8%; B—86.7%, 79.7% vs. 83.9%, 82.0%; C—78.0%, 76.7% vs. 83.3%, 78.9% and D—71.8%, 79.2% vs. 64.0%, 69.5%. Reviewers A and B achieved greater agreement in assessing results from the MRI (κ = 0.72, p < 0.001; ICC = 0.73, p < 0.001) vs. the CT (κ = 0.58, p < 0.001; ICC = 0.61, p < 0.001), in contrast to readers C and D (MRI: κ = 0.34, p < 0.001; ICC = 0.42, p < 0.001, and CT: κ = 0.48, p < 0.001; ICC = 0.59, p < 0.001). Our results indicate that the accurate diagnosis of LM of PDAC depends more on radiologic experience in MRI over CT scans.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Yi Liu ◽  
Nicolas Basty ◽  
Brandon Whitcher ◽  
Jimmy D Bell ◽  
Elena P Sorokin ◽  
...  

Cardiometabolic diseases are an increasing global health burden. While socioeconomic, environmental, behavioural, and genetic risk factors have been identified, a better understanding of the underlying mechanisms is required to develop more effective interventions. Magnetic resonance imaging (MRI) has been used to assess organ health, but biobank-scale studies are still in their infancy. Using over 38,000 abdominal MRI scans in the UK Biobank, we used deep learning to quantify volume, fat, and iron in seven organs and tissues, and demonstrate that imaging-derived phenotypes reflect health status. We show that these traits have a substantial heritable component (8–44%) and identify 93 independent genome-wide significant associations, including four associations with liver traits that have not previously been reported. Our work demonstrates the tractability of deep learning to systematically quantify health parameters from high-throughput MRI across a range of organs and tissues, and use the largest-ever study of its kind to generate new insights into the genetic architecture of these traits.


2018 ◽  
pp. 26-32
Author(s):  
E. A. Stepanova ◽  
М. V. Vishnyakova ◽  
V. I. Sambulov ◽  
I. Т. Mukhamedov

Glomus tumor is one of the most common temporal bone tumors. Most of them are benign and locally invasive, some are occasionally able to metastasize and have signs of malignancy. Diagnostic imaging is necessary before treatment. Computer tomography (CT) is traditionally used as a primary method of diagnosis, to recognize changes in the temporal bone. Role of magnetic resonance imaging (MRI) in temporal bone tumor diagnosis is not definitively determined.Purpose. To assess the possibilities of computer and magnetic resonance tomography, to develop an algorithm for the application of diagnostic imaging methods in the diagnosis of glomus tumors of the temporal bone.Material and methods. The article presents the experience of diagnosing 30 patients with glomus tumors.Results. The tympanic form of the glomus tumor was observed in 11 cases (37%), tympano-yugular in 19 cases (63%). CT and MRI data totally coincided in cases of small tumors (type A and B). In the presence of extended forms CT ability of assessing bone invasion, involvement of the internal carotid artery, internal jugular vein, and dural sinuses was lower than the MRI.


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