S272 – Diagnostic and Staging Accuracy of MRI vs. CT in CRS

2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P166-P166
Author(s):  
Harrison W Lin ◽  
Neil Bhattacharyya
Keyword(s):  
Disease Classification ◽  
Time Interval ◽  
Sinus Disease ◽  
Time Period ◽  
Staging Accuracy ◽  
Kappa Value ◽  
Mri Scans ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri ◽  
Ct And Mri

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.

scholarly journals Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19

2021 ◽  
Author(s):  
Martina Pecoraro ◽  
Stefano Cipollari ◽  
Livia Marchitelli ◽  
Emanuele Messina ◽  
Maurizio Del Monte ◽  
...  
Keyword(s):  
Chest Ct ◽  
Ct Scans ◽  
Imaging Biomarker ◽  
Cross Sectional ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Sectional Analysis ◽  
Ct And Mri ◽  
Interlobular Septal Thickening

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.

Progress of leukoaraiosis is inhibited by correction of platelet hyper-aggregability

2005 ◽  
Vol 17 (4) ◽  
pp. 689-698 ◽  
Author(s):  
Shigekiyo Fujita ◽  
Tetsuro Kawaguchi ◽  
Toshiyuki Uehara ◽  
Kazuhito Fukushima
Keyword(s):  
Group Versus ◽  
Adenosine Diphosphate ◽  
White Matter Hyperintensity ◽  
Number Of Patients ◽  
Mri Scans ◽  
The Mean ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri ◽  
Observation Period

Background: Platelet hyper-aggregability is an important risk factor for leukoaraiosis. In this study we investigated whether aggravation of leukoaraiosis can be controlled by means of long-term correction of platelet hyper-aggregability.Methods:Twenty-one patients with leukoaraiosis and uncorrected platelet hyper-aggregability were compared with 21 controls matched for age, grade of leukoaraiosis and observation period whose platelet hyper-aggregability was corrected. Platelet aggregability was estimated by an optical analytical method with a nine-stage display using two different concentrations each of adenosine diphosphate (ADP) and collagen (the double ADP method).Results:The mean observation period between two magnetic resonance imaging (MRI) scans for both groups was 4.1 years. In the non-corrected group, moderate to severe aggravation of leukoaraiosis was observed in a large number of patients. In the corrected group, only a small number of patients showed generally mild aggravation of leukoaraiosis. The number of patients showing aggravation of periventricular hyperintensity (PVH) was 7 in 21 in the non-corrected group versus 1 in 21 (p=0.022) in the corrected group, and for aggravation of deep white-matter hyperintensity, these values were 9 in 21 versus 4 in 21, respectively. Thus, the difference was more significant if the degree of aggravation was taken into account.Conclusion:The progress of leukoaraiosis is greatly inhibited by long-term correction of platelet hyper-aggregability.

scholarly journals Interobserver and intraobserver comparison of imaging glenoid morphology, glenoid version and humeral head subluxation

2018 ◽  
Vol 11 (3) ◽  
pp. 204-209 ◽  
Author(s):  
Paul J Cagle ◽  
Birgit Werner ◽  
Dave R Shukla ◽  
Daniel A London ◽  
Bradford O Parsons ◽  
...  
Keyword(s):  
Humeral Head ◽  
Interobserver Agreement ◽  
Weighted Kappa ◽  
Similar Efficacy ◽  
Ct Images ◽  
Glenoid Version ◽  
Kappa Value ◽  
Glenoid Morphology ◽  
Magnetic Resonance Imaging Mri ◽  
Ct And Mri

Background Glenoid morphology, glenoid version and humeral head subluxation represent important parameters for the treating physician. The most common method of assessing glenoid morphology is the Walch classification which has only been validated with computed tomography (CT). Methods CT images and magnetic resonance imaging (MRI) images of 25 patients were de-identified and randomized. Three reviewers assessed the images for each parameter twice. The Walch classification was assessed with a weighted kappa value. Glenoid version and humeral head subluxation were comparted with a reproducibility coefficient. Results The Walch classification demonstrated almost perfect intraobserver agreement for MRI and CT images (k = 0.87). Weighted interobserver agreement values for the Walch classification were fair for CT and MRI (k = 0.34). The weighted reproducibility coefficient for glenoid version measured 9.13 (CI 7.16–12.60) degrees for CT and 13.44 (CI 10.54–18.55) degrees for MRI images. The weighted reproducibility coefficient for percentage of humeral head subluxation was 17.43% (CI 13.67–24.06) for CT and 18.49% (CI 14.5–25.52) for MRI images. Discussion CT and MRI images demonstrated similar efficacy in classifying glenoid morphology, measuring glenoid version and measuring posterior humeral head subluxation. MRI can be used as an alternative to CT for measuring these parameters.

scholarly journals Correlation between Intraprostatic PSMA Uptake and MRI PI-RADS of [68Ga]Ga-PSMA-11 PET/MRI in Patients with Prostate Cancer: Comparison of PI-RADS Version 2.0 and PI-RADS Version 2.1

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3523
Author(s):  
Jing Zhao ◽  
Dilyana B. Mangarova ◽  
Julia Brangsch ◽  
Avan Kader ◽  
Bernd Hamm ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Peripheral Zone ◽  
Transitional Zone ◽  
Regions Of Interest ◽  
Resonance Imaging ◽  
Standardized Uptake Values ◽  
Kappa Value ◽  
Version 2.0 ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri

Purpose: We aimed to evaluate the correlation between PSMA uptake and magnetic resonance imaging (MRI) PI-RADS of simultaneous [68Ga]Ga-PSMA-11 PET/MRI regarding PI-RADS version 2.0 and 2.1 respectively and compared the difference between these two versions. Materials and Methods: We retrospectively analyzed a total of forty-six patients with biopsy-proven prostate cancer who underwent simultaneous [68Ga]Ga-PSMA-11 PET/MRI. We classified the lesions regarding PI-RADS version 2.0 and 2.1, peripheral zone (PZ), and transitional zone (TZ), respectively. Based on regions of interest (ROI), standardized uptake values maximum (SUVmax), and corresponding lesion-to-background ratios (LBR) of SUVmax of each category, PI-RADS score 1 to 5, were measured. A comparison between PI-RADS version 2.0 and PI-RADS version 2.1 was performed. Results: A total of 215 focal prostate lesions were analyzed, including two subgroups, 125 TZ and 90 PZ. Data are reported as median and interquartile range (IQR). Regarding PI-RADS version 2.1, TZ SUVmax of each category were 1.5 (0.5, 1.9), 1.9 (0.8, 2.3), 3.3 (2.1, 4.6), 4.2 (3.1, 5.7), 7.3 (5.2, 9.7). PZ SUVmax of each category were 1.0 (0.8, 1.6), 2.5 (1.5, 3.2), 3.3 (1.9, 4.5), 4.3 (3.0, 5.4), 7.4 (5.0, 9.3). Regarding the inter-reader agreement of the overall PI-RADS assessment category, the kappa value was 0.723 for version 2.0 and 0.853 for version 2.1. Conclusion: Revisions of PI-RADS version 2.1 results in variations in lesions classification. Lesions with the PI-RADS category of 3, 4, and 5 present relatively higher intraprostatic PSMA uptake, while lesions with the PI-RADS category of 1 and 2 present relatively lower and similar uptake. Version 2.1 has higher inter-reader reproducibility than version 2.0.

Imaging-based stereotaxic serial biopsies in untreated intracranial glial neoplasms

1987 ◽  
Vol 66 (6) ◽  
pp. 865-874 ◽  
Author(s):  
Patrick J. Kelly ◽  
Catherine Daumas-Duport ◽  
David B. Kispert ◽  
Bruce A. Kall ◽  
Bernd W. Scheithauer ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Tumor Tissue ◽  
Magnetic Resonance Images ◽  
Low Grade ◽  
Content Type ◽  
Mri Scans ◽  
Isolated Tumor Cell ◽  
Magnetic Resonance Imaging Mri ◽  
Ct And Mri

✓ 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.

Incidental magnetic resonance image sinus abnormalities in asymptomatic Australian children

2003 ◽  
Vol 117 (12) ◽  
pp. 969-972 ◽  
Author(s):  
Wye-Keat Lim ◽  
Bhaskar Ram ◽  
Stephen Fasulakis ◽  
Kevin J. Kane
Keyword(s):  
Magnetic Resonance ◽  
X Rays ◽  
Upper Respiratory Tract ◽  
Mri Scans ◽  
Adults And Children ◽  
Mucosal Changes ◽  
Magnetic Resonance Imaging Mri ◽  
Definition Of ◽  
Tract Infections ◽  
Ct And Mri

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.

Diagnosis and classification of axial spondyloarthritis

2016 ◽  
Author(s):  
Floris van Gaalen ◽  
Désirée van der Heijde ◽  
Maxime Dougados
Keyword(s):  
Chronic Back Pain ◽  
Axial Spondyloarthritis ◽  
Chronic Inflammatory Disease ◽  
Disease Classification ◽  
Laboratory Features ◽  
Bone Changes ◽  
Diagnosis And Classification ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri

Axial spondyloarthritis (axSpA) is a potentially disabling chronic inflammatory disease affecting the spine and sacroiliac (SI) joints. Lead symptoms are chronic back pain and stiffness. The disease is called radiographic axSpA or ankylosing spondylitis (AS) when, on plain radiographs, bone changes consistent with sacroiliitis are present. When no evidence of sacroiliitis is seen on radiographs, it is called non-radiographic axSpA. In such cases, diagnosis is made based on evidence of active inflammation of SI joints on magnetic resonance imaging (MRI) and clinical and laboratory features, or a combination of clinical and laboratory features only. Apart from affecting the spine and SI joints, axSpA may involve peripheral joints (e.g. knee, ankle) and manifest in extra-articular manifestations, for example uveitis, psoriasis, and inflammatory bowel disease. In this chapter, diagnosis and classification of axSpA is discussed, including use of MRI in detecting sacroiliitis and the difference between clinical diagnosis and disease classification.

scholarly journals Clinical and imaging features of carcinosarcoma of the uterus and cervix

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Liming Li ◽  
Wenpeng Huang ◽  
Kangkang Xue ◽  
Leiyu Feng ◽  
Yijing Han ◽  
...  
Keyword(s):  
Malignant Tumors ◽  
High Signal ◽  
Imaging Features ◽  
Mri Imaging ◽  
Diffusion Weighted Image ◽  
Resonance Imaging ◽  
Endometrial Thickening ◽  
Staging Accuracy ◽  
Magnetic Resonance Imaging Mri ◽  
Ct And Mri

Abstract Aim The purpose of our study was to analyze the clinical and imaging features of uterine carcinosarcoma (UCS) and cervical carcinosarcoma (CCS), and to explore the diagnostic and staging accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) examinations. Methods 41 patients including 37 with UCS and 4 with CCS from July 2011 to September 2020 were enrolled in the study. Of the 37 UCS cases, 7 had CT images, 27 had MRI images, and 3 had both CT and MRI images. The Clinical data, CT or MRI imaging findings were analyzed. Diagnosis and staging accuracy of CT and MRI images were also analyzed. Results Carcinosarcoma usually occurs in postmenopausal women (40/41), with the typical clinical symptom being vaginal bleeding (33/41). The CA125 degree was significantly different between the two invasion depth groups (p = 0.011). Most uterine carcinosarcomas showed unclear boundaries, uneven density, low or equal signal on T1WI, high or mixed signal on T2WI, uneven high signal on diffusion-weighted image (DWI), and mild enhancement. The diagnostic accuracies of CT and MRI for carcinosarcoma were 0% and 3.33%, respectively. The diagnostic accuracy for malignant tumors on CT and MRI was 50% and 83.33%, respectively. Conclusions Carcinosarcoma lesions presented with huge mass filling in the cavity, and some presented with small polypoid lesions or endometrial thickening. Evaluation of lymph node metastasis is a significant challenge for imaging staging.

scholarly journals Comparative evaluation of the balance and synoptic methods of determination of the assimilation volume of water ecosystems

2018 ◽  
Vol 3 (1) ◽  
pp. 3-8
Author(s):  
H. H. Asadov ◽  
S. A. Askerova
Keyword(s):  
Winter Season ◽  
Time Interval ◽  
The Caspian Sea ◽  
Quantitative Correlation ◽  
Time Period ◽  
The Difference ◽  
Water Ecosystems ◽  
Mass Volume ◽  
Assimilation Capacity

The assimilation capacity of sea waters is known to be defined as a maximum dynamic volume of such content of pollutants which can be accumulated, destructed, transformed and excluded out of the limits of the ecosystem during a curtain time period if normal condition functioning of the ecosystem is not disturbed. The paper focuses on comparative analysis of assimilation capacity calculated using balance and synoptic methods. Geometrical representation of the compared methods in 3-D space {Т, V, C} is suggested, where T is time interval, V is water mass volume, C is concentration of pollutants. Quantitative correlation between two considered values of assimilation capacity is given. The results obtained are applied for some areas of coastal northern zones of Azerbaijan sector of the Caspian Sea. It is shown that in winter season the value of assimilation capacity calculated using synoptic method is somewhat lower in comparison with the same parameter calculated by balance method and equal to 0.6–0.8 share of the latter. Such a result can be considered as much better in comparison with the known results where the difference reaches one order.

scholarly journals Assessment of Liver Metastases Using CT and MRI Scans in Patients with Pancreatic Ductal Adenocarcinoma: Effects of Observer Experience on Diagnostic Accuracy

2020 ◽  
Author(s):  
Masakatsu Tsurusaki ◽  
Isao Numoto ◽  
Teruyoshi Oda ◽  
Miyuki Wakana ◽  
Ayako Suzuki ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Liver Metastases ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Sensitivity And Specificity ◽  
Correlation Coefficients ◽  
Ductal Adenocarcinoma ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
The Impact ◽  
Ct And Mri

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.

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