CT imaging features of the normal parathyroid gland in the dog

2020 ◽  
Vol 48 (05) ◽  
pp. 313-320
Author(s):  
Esther Lautscham ◽  
Clea von Klopmann ◽  
Sebastian Schaub ◽  
Christiane Stengel ◽  
Antje Hartmann
Keyword(s):  
Ct Scan ◽  
Parathyroid Gland ◽  
Spiral Ct ◽  
Ct Imaging ◽  
Field Of View ◽  
Imaging Features ◽  
Hounsfield Units ◽  
Klinische Relevanz

Zusammenfassung Gegenstand und Ziel Ziel dieser prospektiven Pilotstudie war zu beurteilen, ob die physiologische Glandula parathyroidea beim Hund computertomografisch dargestellt werden kann, und eine Beschreibung ihres CT-Erscheinungsbildes zu geben. Material und Methoden In die Studie wurden 25 Hunde aufgenommen, bei denen aufgrund von Erkrankungen im Halsbereich ohne Bezug zu Schild- oder Nebenschilddrüse ein CT-Scan erfolgte. Einschlusskriterium waren unauffällige Befunde bei der allgemeinen klinischen Untersuchung und der Blutuntersuchung (Blutbild und blutchemische Analyse). CT-Bilder vor und nach Kontrastmittelapplikation (30–45 Sekunden nach der Kontrastmittelinjektion, frühe venöse Phase) wurden mit einem 16-Schichten-Spiral-CT unter Verwendung eines Field of View von 18 cm, einer Schichtdicke von 1 mm und einer Matrix von 512 × 512 angefertigt. Zwei Radiologen begutachteten die CT-Aufnahmen unabhängig voneinander. Die Sichtbarkeit der Parathyreoidea wurde erfasst und die Interobserver-Reliabilität ermittelt. Bei den darstellbaren Nebenschilddrüsen wurden folgende Parameter bestimmt: Größe, Dichte (in Hounsfield Units [HU], vor und nach Kontrastmittelgabe), Dichte der Schilddrüse, Abgrenzung (exzellent, mäßig, schlecht). Ergebnisse Nur 20 bzw. 25 Nebenschilddrüsen waren durch die beiden Untersucher erkennbar. Die Anzahl differierte zwischen Nativaufnahmen und Bildern nach Kontrastmittelgabe nicht. Die Interobserver-Reliabilität hinsichtlich der Erkennbarkeit war moderat (κ = 0,40). Für Länge, Breite und Höhe der Nebenschilddrüsen (Mittelwert ± Standardabweichung) ergaben sich 4,2 × 2,5 × 2,9 mm ± 1,3 × 0,8 × 1,0 mm. Die Dichte betrug 39,7 ± 20,6 HU vor und 103,1 ± 47,1 HU nach Kontrastmittelgabe. Damit stellten sich die Nebenschilddrüsen im Vergleich zur Schilddrüse (vor und nach Kontrastmittelgabe 166,7 ± 34,3 HU bzw. 234,0 ± 60,1 HU) hypoattenuierend dar. Schlussfolgerung Diese Studie liefert die erste Beschreibung des CT-Erscheinungsbilds der angenommen physiologischen Nebenschilddrüse beim Hund. Die Sichtbarkeit des Organs war jedoch schlecht. Klinische Relevanz Trotz der schlechten Visualisierung der Nebenschilddrüse im CT ist sie gelegentlich wahrnehmbar. Die ermittelten Dimensionen waren teilweise größer als bisher für sonografische Darstellung beschrieben, ohne dass die untersuchten Hunde erkennbare Symptome eines Hyperparathyreodismus aufwiesen. Eine computertomografisch sichtbare Nebenschilddrüse impliziert daher möglicherweise nicht unbedingt eine Erkrankung. Weitere Studien dazu sind notwendig.

scholarly journals Application of 64-Slice Spiral CT Imaging Technology Based on Smart Medical Augmented Reality in the Diagnosis of Foreign Bodies in the Respiratory Tract in Children

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiewei Liu ◽  
Ying Wang ◽  
Tana Zhao ◽  
Chunyu Li ◽  
Lei Nie
Keyword(s):  
Foreign Body ◽  
Augmented Reality ◽  
Respiratory Tract ◽  
Ct Scan ◽  
Foreign Bodies ◽  
Spiral Ct ◽  
Ct Imaging ◽  
Imaging Technology ◽  
Medical Augmented Reality ◽  
Spiral Ct Scan

A foreign body in the respiratory tract is one of the common accidental injuries of children in our country, and is usually an important and serious event. Injuries caused by foreign substances in the respiratory tract seriously threaten the health and life of children in Korea and are a great challenge for parents as well. In the process of diagnosis of foreign bodies in the respiratory tract, there is often missed diagnosis or serious complications. Therefore, this article proposes the application of 64-slice spiral CT imaging technology based on smart medical augmented reality in the diagnosis of foreign bodies in the respiratory tract in order to improve the diagnosis of foreign bodies in the respiratory tract, provide help with treatment to improve the prognosis of foreign bodies in the respiratory tract, and reduce the incidence of foreign bodies in the respiratory tract. In this paper, 36 children underwent a 64-slice spiral CT scan of their lungs, and images were transferred to a workstation for multiplanar reconstruction, minimal density projection, three-dimensional volume reconstruction imaging, and CT virtual endoscopic reconstruction, the location, shape, size, and size of the foreign body in contrast with adjacent structural lesions and lesions seen during surgery. Experiments have shown that the left bronchial granulation accounted for 27.3%, the right bronchial granulation 18.75%, the main tracheal granulation 28.6%; there was no significant difference between the left and right bronchial granulation ( P  > 0.05), while the main tracheal granulation and bilateral bronchial granulation there are significant differences between the shape distributions (P < 0.05). This shows that CT imaging technology has enabled more patients to avoid surgical operations and ensure that the spiral computer can bring the greatest benefits to children. A 64-slice spiral CT scan can diagnose foreign bodies in the child’s respiratory tract. The detection rate is high and the diagnostic failure rate is low. The diagnostic rationale provides a reference for early clinical treatment.

scholarly journals CT-Scan as an Opportunistic Osteoporosis Screening Tool in High-Risk Populations; A Diagnostic Study Conducted on a Sample of Urinary Stone Patients

2020 ◽  
Vol 17 (4) ◽  
Author(s):  
Mohammad Ali Ganji Jameshouran ◽  
Amir Reza Abedi ◽  
Saeed Montazeri ◽  
Mohammad Ali Tasharrofi ◽  
Mohammad Mersad Mansouri Tehrani
Keyword(s):  
High Risk ◽  
Ct Scan ◽  
Trabecular Bone ◽  
Bone Mineral ◽  
Diagnostic Performance ◽  
Screening Tool ◽  
Diagnostic Value ◽  
Urinary Stone ◽  
Ct Imaging ◽  
Hounsfield Units

Background: Osteoporosis is a globally common disorder with significant burdens on the quality of life, and therefore, presents the need for a viable screening tool. Objectives: To establish the diagnostic value of opportunistic computed tomography (CT) scan performed routinely on urinary stone patients for identifying and screening osteoporosis, through measuring vertebral trabecular bone attunement in Hounsfield Units. Patients and Methods: Consecutive subjects were enrolled in this cross-sectional study, who suffered from urinary stones and were undergoing percutaneous nephrolithotomy (PCNL) procedure for stone removal at a tertiary referral hospital. The CT imaging data for the patients were retrospectively extracted, and the patients then underwent a dual energy X-ray absorptiometry (DEXA) scan as the standard protocol in measuring bone mineral density (BMD). CTs were assessed, measuring the bone mineral attenuation at the L1 vertebral level. Diagnostic performance protocols and data comparison with DEXA results were measured. Results: Ninety-two patients were enrolled in the study, 31 (34%) of which were designated as osteoporotic according to standard definitions based on DEXA. Vertebral attunement measurements showed sufficient diagnostic performance, with an area under the curve (AUC) of 0.983 (95% confidence interval [CI], 0.961 – 1.000), 93.55% sensitivity (95% CI, 78.55 – 99.21) and 90.16% specificity (95% CI, 79.81 – 96.30) at the pre-designed 160 Hounsfield units (HU) discriminatory threshold. Conclusion: This study showed that in a high-risk population, vertebral trabecular bone attenuation values retrieved from routine CT imaging holds significant diagnostic value when compared to the gold-standard DEXA, and can be utilized as a viable screening method.

scholarly journals NP-59 SPECT/CT Imaging in Stage 1 Hypertensive and Atypical Primary Aldosteronism: A 5-Year Retrospective Analysis of Clinicolaboratory and Imaging Features

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yi-Chun Chen ◽  
Jainn-Shiun Chiu ◽  
Yuh-Feng Wang
Keyword(s):  
Ct Scan ◽  
Primary Aldosteronism ◽  
Plasma Renin ◽  
Ct Imaging ◽  
Imaging Features ◽  
Plasma Aldosterone Concentration ◽  
Confirmatory Testing ◽  
Diagnostic Potential ◽  
Improved Outcomes ◽  
Stage 1

Objective.We retrospectively analyzed all primary aldosteronism (PA) patients undergoing NP-59 SPECT/CT imaging with regard to their clinicolaboratory and imaging features, investigation, and outcomes.Material and Methods.11 PA patients who presented to our hospital for NP-59 SPECT/CT imaging between April 2007 and March 2012 and managed here were analyzed.Results.Among 11 PA patients, eight (73%) had stage 1 hypertension, three (27%) stage 2 hypertension, four (36%) normal plasma aldosterone concentration, nine (82%) nonsuppressed plasma renin activity (PRA), six (55%) normal aldosterone-renin-ratio (ARR), eight (73%) serum potassium ≧3 mEq/L, seven (64%) subclinical presentation, seven (64%) negative confirmatory testing, and four (36%) inconclusive results on CT scan and seven (64%) on planar NP-59 scan. All 11 (100%) patients had positive results on NP-59 SPECT/CT scan. Two (18%) met typical triad and nine (82%) atypical triad. Among nine atypical PA patients, three (33%) had clinical presentation, six (67%) subclinical presentation, six (67%) negative confirmatory testing, and four (44%) inconclusive results on CT scan and six (67%) on planar NP-59 scan. All patients had improved outcomes. Significant differences between typical and atypical PA existed in PRA and ARR.Conclusions.NP-59 SPECT/CT may provide diagnostic potential in stage 1 hypertensive and atypical PA.

scholarly journals A Review of COVID-19: Data Obtained from Chest CT Imaging and RT-PCR

2021 ◽  
Vol 18 (2) ◽  
Author(s):  
Hossein Akbari-Lalimi ◽  
Somayyeh Seyedi ◽  
Hadi Akbari-Zadeh ◽  
Milad Najafzadeh ◽  
Alireza Montazerabadi ◽  
...  
Keyword(s):  
Ct Scan ◽  
Ground Glass Opacity ◽  
Ct Imaging ◽  
Chest Ct ◽  
Disease Stage ◽  
Imaging Features ◽  
Rt Pcr ◽  
Bilateral Lung ◽  
Risk Of Cancer ◽  
Chest Ct Scan

Context: This review aimed to investigate the computed tomography (CT) imaging features of COVID-19. Evidence Acquisition: Bilateral lung involvement (70%), peripheral distribution (67.5%), multifocal involvement (67.3%) and ground glass opacity (66.1%) were observed in most infected patients Results: Evaluation of the number of lobes involved in infected patients showed no abnormalities in 7.2% (85/1177) of the patients. Regarding the performance of RT-PCR and chest CT scan, the sensitivity of RT-PCR and chest CT imaging was estimated at 70% (925/1311) and 89% (6605/7396) upon admission, respectively; nevertheless, the sensitivity of CT imaging increased as the time from the symptom onset increased. The CT image acquisition parameters affecting image quality and patient dose were also discussed. Studies suggested that these factors should be adjusted according to the disease stage. Based on our findings, sensitivity was adequately high eight days after the onset of symptoms. Conclusion: Therefore, there is no need for high-resolution chest CT scan after this interval. Using ImpactDose software, the mean effective doses were 4.38 and 5.71 mSv in male and female groups, respectively. The risk of cancer was 36% higher in females than males, as shown by PCXMC program.

PEMBELAJARAN SIMULASI PENCITRAAN CT DENGAN MENGGUNAKAN PRINSIP REKONSTRUKSI CITRA DALAM SOFTWARE MATLAB

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon
Keyword(s):  
Image Reconstruction ◽  
Ct Imaging ◽  
The Body ◽  
Reconstruction Technique ◽  
Imaging Features ◽  
Back Projection ◽  
Cross Sectional ◽  
Low Contrast ◽  
Image Reconstruction Technique ◽  
Imaging Algorithms

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab

scholarly journals Imaging analysis of 13 rare cases of renal collecting (Bellini) duct carcinoma in northern China: a case series and literature review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhehao Lyu ◽  
Lili Liu ◽  
Huimin Li ◽  
Haibo Wang ◽  
Qi Liu ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Ct Scan ◽  
Clinical Manifestations ◽  
Northern China ◽  
Renal Tumors ◽  
Imaging Features ◽  
Duct Carcinoma ◽  
Pet Ct ◽  
Bellini Duct Carcinoma ◽  
Mass Type

Abstract Background Collecting (Bellini) duct carcinoma (CDC) is a highly malignant and rare kidney tumor. We report our 12-year experience with CDC and the results of a retrospective analysis of patients and tumor characteristics, clinical manifestations, and imaging features by computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)/CT. Methods Retrospective examination of tumors between January 2007 and December 2019 identified 13 cases of CDC from three medical centers in northern China. All 13 patients underwent CT scan, among which eight underwent dynamic enhanced CT scan, two underwent PET/CT scan, and one underwent magnetic resonance cholangiopancreatography (MRCP) examination. The lesions were divided into nephritis type and mass type according to the morphology of the tumors. Results The study group included ten men and three women with an average age of 64.23 ± 10.74 years. The clinical manifestations were gross hematuria, flank pain, and waist discomfort. The mean tumor size was 8.48 ± 2.48 cm. Of the 13 cases, six (46.2%) were cortical-medullary involved type and seven (53.8%) were cortex–medullary–pelvis involved type. Eleven (84.6%) cases were nephritis type and two (15.4%) were mass type. The lesions appeared solid or complex solid and cystic on CT and MRI. The parenchymal area of the tumors showed isodensity or slightly higher density on unenhanced CT scan in the 13 cases. PET/CT in two cases showed increased radioactivity intake. Evidence of intra-abdominal metastatic disease was present on CT in nine (69.2%) cases. Conclusions The imaging characteristics of CDC differ from those of other renal cell carcinomas. In renal tumors located in the junction zone of the renal cortex and medulla that show unclear borders, slight enhancement, and metastases in the early stage, a diagnosis of CDC needs to be considered. PET/CT provides crucial information for the diagnosis of CDC, as well as for designing treatment strategies including surgery.

scholarly journals Early CT features of COVID-19 pneumonia, association with patients’ age and duration of presenting complaint

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Reem M. EL Kady ◽  
Hosam A. Hassan ◽  
Tareef S. Daqqaq ◽  
Rania Makboul ◽  
Hanan Mosleh Ibrahim
Keyword(s):  
Pleural Effusion ◽  
Ground Glass Opacity ◽  
Ct Imaging ◽  
Older Age ◽  
Ground Glass ◽  
Imaging Features ◽  
Age Group ◽  
Patient Age ◽  
Atypical Features ◽  
Patient Âgé

Abstract Background Coronavirus disease (COVID-19) is a respiratory syndrome with a variable degree of severity. Imaging is a vital component of disease monitoring and follow-up in coronavirus pulmonary syndromes. The study of temporal changes of CT findings of COVID-19 pneumonia can help in better understanding of disease pathogenesis and prediction of disease prognosis. In this study, we aim to determine the typical and atypical CT imaging features of COVID-19 and discuss the association of typical CT imaging features with the duration of the presenting complaint and patients’ age. Results The lesions showed unilateral distribution in 20% of cases and bilateral distribution in 80% of cases. The lesions involved the lower lung lobes in 30% of cases and showed diffuse involvement in 58.2% of cases. The lesions showed peripheral distribution in 74.5% of cases. The most common pattern was multifocal ground glass opacity found in 72.7% of cases. Atypical features like cavitation and pleural effusion can occur early in the disease course. There was significant association between increased number of the lesions, bilaterality, diffuse pattern of lung involvement and older age group (≥ 50 years old) and increased duration of presenting complaint (≥ 4 days). There was significant association between crazy-paving pattern and increased duration of presenting complaint. No significant association could be detected between any CT pattern and increased patient age. Conclusion The most common CT feature of COVID-19 was multifocal ground glass opacity. Atypical features like cavitation and pleural effusion can occur early in the course of the disease. Our cases showed more extensive lesions with bilateral and diffuse patterns of distribution in the older age group and with increased duration of presenting complaint. There was a significant association between crazy-paving pattern and increased duration of presenting complaint. No significant association could be detected between any CT pattern and increased patient age.

scholarly journals The role of CT imaging for management of COVID-19 in epidemic area: early experience from a University Hospital

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Vikram rao Bollineni ◽  
Koenraad Hans Nieboer ◽  
Seema Döring ◽  
Nico Buls ◽  
Johan de Mey
Keyword(s):  
Ct Scan ◽  
Predictive Value ◽  
Ct Imaging ◽  
Chest Ct ◽  
University Hospital ◽  
Rt Pcr ◽  
Ct Findings ◽  
Epidemic Area ◽  
Chest Ct Scan ◽  
Pcr Test

Abstract Background To evaluate the clinical value of the chest CT scan compared to the reference standard real-time polymerase chain reaction (RT-PCR) in COVID-19 patients. Methods From March 29th to April 15th of 2020, a total of 240 patients with respiratory distress underwent both a low-dose chest CT scan and RT-PCR tests. The performance of chest CT in diagnosing COVID-19 was assessed with reference to the RT-PCR result. Two board-certified radiologists (mean 24 years of experience chest CT), blinded for the RT-PCR result, reviewed all scans and decided positive or negative chest CT findings by consensus. Results Out of 240 patients, 60% (144/240) had positive RT-PCR results and 89% (213/240) had a positive chest CT scans. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of chest CT in suggesting COVID-19 were 100% (95% CI: 97–100%, 144/240), 28% (95% CI: 19–38%, 27/240), 68% (95% CI: 65–70%) and 100%, respectively. The diagnostic accuracy of the chest CT suggesting COVID-19 was 71% (95% CI: 65–77%). Thirty-three patients with positive chest CT scan and negative RT-PCR test at baseline underwent repeat RT-PCR assay. In this subgroup, 21.2% (7/33) cases became RT-PCR positive. Conclusion Chest CT imaging has high sensitivity and high NPV for diagnosing COVID-19 and can be considered as an alternative primary screening tool for COVID-19 in epidemic areas. In addition, a negative RT-PCR test, but positive CT findings can still be suggestive of COVID-19 infection.

scholarly journals Predictive CT features for the diagnosis of primary pulmonary mucoepidermoid carcinoma: comparison with squamous cell carcinomas and adenocarcinomas

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaohua Ban ◽  
Xinping Shen ◽  
Huijun Hu ◽  
Rong Zhang ◽  
Chuanmiao Xie ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Roc Curve ◽  
Multinomial Logistic Regression ◽  
Univariate Analysis ◽  
Ct Imaging ◽  
Squamous Cell Carcinomas ◽  
Curve Analysis ◽  
Imaging Features ◽  
Roc Curve Analysis ◽  
Ct Features

Abstract Background To determine the predictive CT imaging features for diagnosis in patients with primary pulmonary mucoepidermoid carcinomas (PMECs). Materials and methods CT imaging features of 37 patients with primary PMECs, 76 with squamous cell carcinomas (SCCs) and 78 with adenocarcinomas were retrospectively reviewed. The difference of CT features among the PMECs, SCCs and adenocarcinomas was analyzed using univariate analysis, followed by multinomial logistic regression and receiver operating characteristic (ROC) curve analysis. Results CT imaging features including tumor size, location, margin, shape, necrosis and degree of enhancement were significant different among the PMECs, SCCs and adenocarcinomas, as determined by univariate analysis (P < 0.05). Only lesion location, shape, margin and degree of enhancement remained independent factors in multinomial logistic regression analysis. ROC curve analysis showed that the area under curve of the obtained multinomial logistic regression model was 0.805 (95%CI: 0.704–0.906). Conclusion The prediction model derived from location, margin, shape and degree of enhancement can be used for preoperative diagnosis of PMECs.

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