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        <title>BMC Medical Imaging - Latest Articles</title>
        <link>http://www.biomedcentral.com/bmcmedimaging/</link>
        <description>The latest research articles published by BMC Medical Imaging</description>
        <dc:date>2009-07-06T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2342/9/12" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/12">
        <title>Test-Retest variability of High Resolution Positron Emission Tomography (PET) imaging of Cortical Serotonin (5HT2A) receptors in older, healthy adults</title>
        <description>Background:
Position emission tomography (PET) imaging using [18F]-setoperone to quantify cortical 5-HT2A receptors has the potential to inform pharmacological treatments for geriatric depression and dementia. Prior reports indicate a significant normal aging effect on serotonin 5HT2A receptor (5HT2AR) binding potential. The purpose of this study was to assess the test-retest variability of [18F]-setoperone PET with a high resolution scanner (HRRT) for measuring 5HT2AR availability in subjects greater than 60 years old.
Methods:
Six healthy subjects (age range = 65-78 years) completed two [18F]-setoperone PET scans on two separate occasions 5-16 weeks apart.
Results:
The average difference in the binding potential (BPND) as measured on the two occasions in the frontal and temporal cortical regions ranged between 2 and 12%, with the lowest intraclass correlation coefficient in anterior cingulate regions.
Conclusions:
We conclude that the test-retest variability of [18F]-setoperone PET in elderly subjects is comparable to that of [18F]-setoperone and other 5HT2AR radiotracers in younger subject samples.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/12</link>
                <dc:creator>Tiffany Chow</dc:creator>
                <dc:creator>David Mamo</dc:creator>
                <dc:creator>Hiroyuki Uchida</dc:creator>
                <dc:creator>Sylvain Houle</dc:creator>
                <dc:creator>Gwenn Smith</dc:creator>
                <dc:creator>Bruce Pollock</dc:creator>
                <dc:creator>Benoit Mulsant</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:12</dc:source>
        <dc:date>2009-07-06T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-12</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>12</prism:startingPage>
        <prism:publicationDate>2009-07-06T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/11">
        <title>Magnetic resonance imaging after most common form of concussion </title>
        <description>Background:
Until now there is a lack of carefully controlled studies with conventional MR imaging performed exclusively in concussion with short lasting loss of consciousness (LOC).
Methods:
A MR investigation was performed within 24 hours and after 3 months in 20 patients who had suffered a concussion with a verified loss of consciousness of maximally 5 minutes. As a control group, 20 age- and gender matched patients with minor orthopaedic injuries had a MR investigation using the same protocol.
Results:
In a concussion population with an average LOC duration of 1. 4 minutes no case with unequivocal intracranial traumatic pathology was detected.
Conclusion:
An ordinary concussion with short lasting LOC does not or only seldom result in a degree of diffuse axonal injury (DAI) that is visualized by conventional MR with field strength of 1.0 Tesla (T). Analysis of earlier MR studies in concussion using field strength of 1.5 T as well as of studies with diffusion tensor MR imaging (MR DTI) reveal methodological shortcomings, in particular use of inadequate control groups. There is, therefore, a need for carefully controlled studies using MR of higher field strength and/or studies with MR DTI exclusively in common concussion with LOC of maximally 5 minutes.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/11</link>
                <dc:creator>Harald Schrader</dc:creator>
                <dc:creator>Dalia Mickeviciene</dc:creator>
                <dc:creator>Rymante Gleizniene</dc:creator>
                <dc:creator>Sylvija Jakstiene</dc:creator>
                <dc:creator>Danguole Surkiene</dc:creator>
                <dc:creator>Lars Jacob Stovner</dc:creator>
                <dc:creator>Diana Obelieniene</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:11</dc:source>
        <dc:date>2009-06-17T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-11</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>11</prism:startingPage>
        <prism:publicationDate>2009-06-17T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/10">
        <title>Evaluating regional blood spinal cord barrier dysfunction following spinal cord injury using longitudinal dynamic contrast-enhanced MRI</title>
        <description>Background:
In vivo preclinical imaging of spinal cord injury (SCI) in rodent models provides clinically relevant information in translational research.  This paper uses multimodal magnetic resonance imaging (MRI) to investigate neurovascular pathology and changes in blood spinal cord barrier (BSCB) permeability following SCI in a mouse model of SCI.
Methods:
C57BL/6 female mice (n=5) were subjected to contusive injury at the thoracic T11 level and scanned on post injury days 1 and 3 using anatomical, dynamic contrast-enhanced (DCE-MRI) and diffusion tensor imaging (DTI).  The injured cords were evaluated postmortem with histopathological stains specific to neurovascular changes.  A computational model was implemented to map local changes in barrier function from the contrast enhancement.  The area and volume of spinal cord tissue with dysfunctional barrier were determined using semi-automatic segmentation.
Results:
Quantitative maps derived from the acquired DCE-MRI data depicted the degree of BSCB permeability variations in injured spinal cords.  At the injury sites, the damaged barriers occupied about 70 % of the total cross section and 48% of the total volume on day 1, but the corresponding measurements were reduced to 55 % and 25 %, respectively on day 3.  These changes implied spatio-temporal remodeling of microvasculature and its architecture in injured SC.  Diffusion computations included longitudinal and transverse diffusivities and fractional anisotropy index.  Comparison of permeability and diffusion measurements indicated regions of injured cords with dysfunctional barriers had structural changes in the form of greater axonal loss and demyelination, as supported by histopathologic assessments.
Conclusion:
The results from this study collectively demonstrated the feasibility of quantitatively mapping regional BSCB dysfunction in injured cord in mouse and obtaining complementary information about its structural integrity using in vivo DCE-MRI and DTI protocols.  This capability is expected to play an important role in characterizing the neurovascular changes and reorganization following SCI in longitudinal preclinical experiments, but with potential clinical implications.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/10</link>
                <dc:creator>Ilkan Tatar</dc:creator>
                <dc:creator>Peter Chou</dc:creator>
                <dc:creator>Mohamed Desouki</dc:creator>
                <dc:creator>Hanaa Sayed</dc:creator>
                <dc:creator>Mehmet Bilgen</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:10</dc:source>
        <dc:date>2009-06-11T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-10</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>10</prism:startingPage>
        <prism:publicationDate>2009-06-11T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/9">
        <title>Quantifying coronary sinus flow and global LV perfusion at 3T</title>
        <description>Background:
Despite the large availability of 3T MR scanners and the potential of high field imaging, this technical platform has yet to prove its usefulness in the cardiac MR setting, where 1.5T remains the established standard. Global perfusion of the left ventricle, as well as the coronary flow reserve (CFR), can provide relevant diagnostic information, and MR measurements of these parameters may benefit from increased field strength. Quantitative flow measurements in the coronary sinus (CS) provide one method to investigate these parameters. However, the ability of newly developed faster MR sequences to measure coronary flow during a breath-hold at 3T has not been evaluated.
Methods:
The aim of this work was to measure CS flow using segmented phase contrast MR (PC MR) on a clinical 3T MR scanner. Parallel imaging was employed to reduce the total acquisition time. Global LV perfusion was calculated by dividing CS flow with left ventricular (LV) mass. The repeatability of the method was investigated by measuring the flow three times in each of the twelve volunteers. Phantom experiments were performed to investigate potential error sources.
Results:
The average CS flow was determined to 88 &#177; 33 ml/min and the deduced LV perfusion was 0.60 &#177; 0.22 ml/min&#183;g, in agreement with published values. The repeatability (1-error) of the three repeated measurements in each subject was on average 84%.
Conclusion:
This work demonstrates that the combination of high field strength (3T), parallel imaging and segmented gradient echo sequences allow for quantification of the CS flow and global perfusion within a breath-hold.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/9</link>
                <dc:creator>Karin Markenroth Bloch</dc:creator>
                <dc:creator>Marcus Carlsson</dc:creator>
                <dc:creator>Hakan Arheden</dc:creator>
                <dc:creator>Freddy Stahlberg</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:9</dc:source>
        <dc:date>2009-06-11T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-9</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>9</prism:startingPage>
        <prism:publicationDate>2009-06-11T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/8">
        <title>Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data </title>
        <description>Background:
Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres.
Methods:
We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors.
Results:
Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation.
Conclusion:
Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/8</link>
                <dc:creator>T William Moorhead</dc:creator>
                <dc:creator>Viktoria-Eleni Gountouna</dc:creator>
                <dc:creator>Dominic Job</dc:creator>
                <dc:creator>Anfrew McInitosh</dc:creator>
                <dc:creator>Liana Romaniuk</dc:creator>
                <dc:creator>G Katherine Lymer</dc:creator>
                <dc:creator>Heather Whalley</dc:creator>
                <dc:creator>Gordon Waiter</dc:creator>
                <dc:creator>David Brennan</dc:creator>
                <dc:creator>Trevor Ahearn</dc:creator>
                <dc:creator>Jonathan Cavanagh</dc:creator>
                <dc:creator>Barrie Condon</dc:creator>
                <dc:creator>J Douglas Steele</dc:creator>
                <dc:creator>Joanna Wardlaw</dc:creator>
                <dc:creator>Stephen Lawrie</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:8</dc:source>
        <dc:date>2009-05-15T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-8</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>8</prism:startingPage>
        <prism:publicationDate>2009-05-15T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/7">
        <title>Radiographic features of Mycoplasma pneumoniae pneumonia: differential diagnosis and performance timing</title>
        <description>Background:
The Japanese Respiratory Society guidelines propose a differential diagnosis for atypical pneumonia and bacterial pneumonia using a scoring system for the selection of appropriate antibiotic. In order to improve this scoring system, the guidelines are seeking new specific parameter. The purpose of this study was to clarify the pattern of abnormalities with Mycoplasma pneumoniae pneumonia on chest computed tomography (CT) and whether the radiographic findings could distinguish M. pneumoniae pneumonia from Streptococcus pneumoniae pneumonia.
Methods:
A retrospective review was performed of the CT findings of 64 cases and 68 cases where M. pneumoniae and S. pneumoniae, respectively, were the only pathogen identified by the panel of diagnostic tests used.
Results:
Of the 64 patients with M. pneumoniae pneumonia, bronchial wall thickening was observed most frequently (81%), followed by centrilobular nodules (78%), ground-glass attenuation (78%), and consolidation (61%). Bronchial wall thickening and centrilobular nodules were observed more often in M. pneumoniae patients than in S. pneumoniae patients (p &lt; 0.0001). The presence of bilateral bronchial wall thickening or centrilobular nodules was only seen in patients with M. pneumoniae pneumonia. Using the scoring system of the Japanese Respiratory Society guidelines and chest CT findings, 97% of M. pneumoniae patients were suspected to be M. pneumoniae pneumonia without serology. When comparing the CT findings between early stage and progressed stage in the same patients with severe pneumonia, the radiographic features of early stage M. pneumoniae pneumonia were not observed clearly in the progressed stage.
Conclusion:
The present results indicate that the diagnosis of M. pneumoniae pneumonia would appear to be reliable when found with a combination of bronchial wall thickening and centrilobular nodules in the CT findings. However, these CT findings are not observed in progressed severe M. pneumoniae pneumonia patients.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/7</link>
                <dc:creator>Naoyuki Miyashita</dc:creator>
                <dc:creator>Tadaaki Sugiu</dc:creator>
                <dc:creator>Yasuhiro Kawai</dc:creator>
                <dc:creator>Keiko Oda</dc:creator>
                <dc:creator>Tetsuya Yamaguchi</dc:creator>
                <dc:creator>Kazunobu Ouchi</dc:creator>
                <dc:creator>Yoshihiro Kobashi</dc:creator>
                <dc:creator>Mikio Oka</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:7</dc:source>
        <dc:date>2009-04-29T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-7</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>7</prism:startingPage>
        <prism:publicationDate>2009-04-29T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/6">
        <title>Masked  volume  wise  principal  component  analysis  of small  adrenocortical  tumours  in  dynamic  [11C]-metomidate positron emission tomography </title>
        <description>Background:
In previous clinical Positron Emission Tomography (PET) studies novel approaches for application of Principal Component Analysis (PCA) on dynamic PET images such as Masked Volume Wise PCA (MVW-PCA) have been introduced. MVW-PCA was shown to be a feasible multivariate analysis technique, which, without modeling assumptions, could extract and separate organs and tissues with different kinetic behaviors into different principal components (MVW-PCs) and improve the image quality.
Methods:
In this study, MVW-PCA was applied to 14 dynamic 11C-metomidate-PET (MTO-PET) examinations of 7 patients with small adrenocortical tumours. MTO-PET was performed before and 3 days after starting per oral cortisone treatment. The whole dataset, reconstructed by filtered back projection (FBP) 0&#8211;45 minutes after the tracer injection, was used to study the tracer pharmacokinetics.
Results:
Early, intermediate and late pharmacokinetic phases could be isolated in this manner. The MVW-PC1 images correlated well to the conventionally summed image data (15&#8211;45 minutes) but the image noise in the former was considerably lower. PET measurements performed by defining &quot;hot spot&quot; regions of interest (ROIs) comprising 4 contiguous pixels with the highest radioactivity concentration showed a trend towards higher SUVs when the ROIs were outlined in the MVW-PC1 component than in the summed images. Time activity curves derived from &quot;50% cut-off&quot; ROIs based on an isocontour function whereby the pixels with SUVs between 50 to 100% of the highest radioactivity concentration were delineated, showed a significant decrease of the SUVs in normal adrenal glands and in adrenocortical adenomas after cortisone treatment.
Conclusion:
In addition to the clear decrease in image noise and the improved contrast between different structures with MVW-PCA, the results indicate that the definition of ROIs may be more accurate and precise in MVW-PC1 images than in conventional summed images. This might improve the precision of PET measurements, for instance in therapy monitoring as well as for delineation of the tumour in radiation therapy planning.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/6</link>
                <dc:creator>Pasha Razifar</dc:creator>
                <dc:creator>Joakim Hennings</dc:creator>
                <dc:creator>Azita Monazzam</dc:creator>
                <dc:creator>Per Hellman</dc:creator>
                <dc:creator>Bengt Langstrom</dc:creator>
                <dc:creator>Anders Sundin</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:6</dc:source>
        <dc:date>2009-04-22T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-6</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>6</prism:startingPage>
        <prism:publicationDate>2009-04-22T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/5">
        <title>Magnetic resonance imaging in size assessment of invasive breast carcinoma with an extensive intraductal component.</title>
        <description>Background:
Breast-conserving treatment of invasive breast carcinoma with an extensive intraductal component (EIC) is associated with DCIS-involved surgical margins and therefore it has an increased recurrence rate. EIC is a non-palpable lesion of which the size is frequently underestimated on mammography. This study was undertaken to evaluate the accuracy of MRI in size assessment of breast cancer with EIC.
Methods:
23 patients were identified and the mammographic (n = 21) and MR (n = 23) images were re-reviewed by a senior radiologist. Size on MR images was compared with histopathological tumour extent.
Results:
The correlation of radiological size with histopathological size was r = 0.20 in mammography (p = 0.39) compared to r = 0.65 in MRI (p &lt; 0.01). Mammography underestimated histopathological tumour size in 62%. MR images over- or underestimated tumour size in 22% and 30% of the cases, respectively. In poorly differentiated EIC, MRI adequately estimated the extent more often compared to moderately differentiated EIC (60% versus 25%, respectively).
Conclusion:
Size assessment of MRI imaging was more accurate compared to mammography. This was predominantly true for poorly differentiated EIC.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/5</link>
                <dc:creator>Arjan Schouten van der Velden</dc:creator>
                <dc:creator>Carla Boetes</dc:creator>
                <dc:creator>Peter Bult</dc:creator>
                <dc:creator>Theo Wobbes</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:5</dc:source>
        <dc:date>2009-04-07T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-5</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>5</prism:startingPage>
        <prism:publicationDate>2009-04-07T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/4">
        <title>Signal encoding in magnetic particle imaging: properties of
the system function</title>
        <description>Background:
Magnetic particle imaging (MPI) is a new tomographic imaging technique capable of imaging magnetic tracer material at high temporal and spatial resolution. Image reconstruction requires solving a system of linear equations, which is characterized by a &quot;system function&quot; that establishes the relation between spatial tracer position and frequency response. This paper for the first time reports on the structure and properties of the MPI system function.
Methods:
An analytical derivation of the 1D MPI system function exhibits its explicit dependence on encoding field parameters and tracer properties. Simulations are used to derive properties of the 2D and 3D system function.
Results:
It is found that for ideal tracer particles in a harmonic excitation field and constant selection field gradient, the 1D system function can be represented by Chebyshev polynomials of the second kind. Exact 1D image reconstruction can thus be performed using the Chebyshev transform. More realistic particle magnetization curves can be treated as a convolution of the derivative of the magnetization curve with the Chebyshev functions. For 2D and 3D imaging, it is found that Lissajous excitation trajectories lead to system functions that are closely related to tensor products of Chebyshev functions.
Conclusion:
Since to date, the MPI system function has to be measured in time-consuming calibration scans, the additional information derived here can be used to reduce the amount of information to be acquired experimentally and can hence speed up system function acquisition. Furthermore, redundancies found in the system function can be removed to arrive at sparser representations that reduce memory load and allow faster image reconstruction.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/4</link>
                <dc:creator>Jurgen Rahmer</dc:creator>
                <dc:creator>Jurgen Weizenecker</dc:creator>
                <dc:creator>Bernhard Gleich</dc:creator>
                <dc:creator>Jorn Borgert</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:4</dc:source>
        <dc:date>2009-04-01T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-4</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>4</prism:startingPage>
        <prism:publicationDate>2009-04-01T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2342/9/3">
        <title>The accuracy of FAST in relation to the grade of solid organ injuries: A retrospective analysis of 226 trauma patients with liver or splenic lesion</title>
        <description>Background:
This study investigated the role of a negative FAST in the diagnostic and therapeutic algorithm of multiply injured patients with liver or splenic lesions.
Methods:
A retrospective analysis of 226 multiply injured patients with liver or splenic lesions treated at Bern University Hospital, Switzerland.
Results:
FAST failed to detect free fluid or organ lesions in 45 of 226 patients with spleen or liver injuries (sensitivity 80.1%). Overall specificity was 99.5%. The positive and negative predictive values were 99.4% and 83.3%. The overall likelihood ratios for a positive and negative FAST were 160.2 and 0.2. Grade III-V organ lesions were detected more frequently than grade I and II lesions. Without the additional diagnostic accuracy of a CT scan, the mean ISS of the FAST-false-negative patients would be significantly underestimated and 7 previously unsuspected intra-abdominal injuries would have been missed.
Conclusion:
FAST is an expedient tool for the primary assessment of polytraumatized patients to rule out high grade intra-abdominal injuries. However, the low overall diagnostic sensitivity of FAST may lead to underestimated injury patterns and delayed complications may occur. Hence, in hemodynamically stable patients with abdominal trauma, an early CT scan should be considered and one must be aware of the potential shortcomings of a &quot;negative FAST&quot;.</description>
        <link>http://www.biomedcentral.com/1471-2342/9/3</link>
                <dc:creator>Beat Schnuriger</dc:creator>
                <dc:creator>Joachim Kilz</dc:creator>
                <dc:creator>Daniel Inderbitzin</dc:creator>
                <dc:creator>Miranda Schafer</dc:creator>
                <dc:creator>Ralph Kickuth</dc:creator>
                <dc:creator>Martin Luginbuhl</dc:creator>
                <dc:creator>Daniel Candinas</dc:creator>
                <dc:creator>Aristomenis Exadaktylos</dc:creator>
                <dc:creator>Heinz Zimmermann</dc:creator>
                <dc:source>BMC Medical Imaging 2009, 9:3</dc:source>
        <dc:date>2009-03-26T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2342-9-3</dc:identifier>
        <prism:publicationName>BMC Medical Imaging</prism:publicationName>
        <prism:issn>1471-2342</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>3</prism:startingPage>
        <prism:publicationDate>2009-03-26T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <cc:permits rdf:resource="http://creativecommons.org/ns#DerivativeWorks" />
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