scholarly journals Kerley A-lines represent thickened septal plates between lung segments in patients with lymphangitic carcinomatosis: confirmation using 3D-CT lung segmentation analysis

2021 ◽  
Author(s):  
Nanae Tsuchiya ◽  
Maho Tsubakimoto ◽  
Akihiro Nishie ◽  
Sadayuki Murayama
Keyword(s):  
Pulmonary Edema ◽  
3D Ct ◽  
Anatomic Structure ◽  
Bronchial Wall ◽  
Lung Segmentation ◽  
X Ray ◽  
Segmentation Analysis ◽  
Chest X Ray ◽  
Lymphangitic Carcinomatosis ◽  
Maximum Interval

Abstract Purpose Kerley A-lines are generally apparent in patients with pulmonary edema or lymphangitic carcinomatosis. There are two main thoughts regarding the etiology of Kerley A-lines, but no general agreement. Specifically, the lines are caused by thickened interlobular septa or dilated anastomotic lymphatics. Our purpose was to determine the anatomic structure represented as Kerley A-lines using 3D-CT lung segmentation analysis. Materials and methods We reviewed 139 charts of patients with lymphangitic carcinomatosis of the lung who had CT and X-ray exams with a maximum interval of 7 days. The presence of Kerley A-lines on X-ray was assessed by a radiologist. The A-lines on X-ray were defined as follows: dense; fine (< 1 mm thick); ≥ 2 cm in length, radiating from the hilum; no bifurcation; and not adjacent to the pleura. For cases with Kerley A-lines on X-ray, three radiologists agreed that the lines on CT corresponded with Kerley A-lines. The incidence of A-lines and the characteristics of the lines were investigated. The septal lines between lung segments were identified using a 3D-CT lung segmentation analysis workstation. The percentage of agreement between the A-lines on CT and lung segmental lines was assessed. Results On chest X-ray, 37 Kerley A-lines (right, 16; left, 21) were identified in the 22 cases (16%). Of these, 4 lungs with 12 lines were excluded from analysis due to technical reasons. Nineteen of the 25 lines (76%) corresponded to the septal lines on CT. Of these, 11 lines matched with automatically segmented lines (intersegmental septa, 4; intersubsegmental septa, 7) by the workstation. Two lines (8%) represented fissures. Four lines corresponded to the bronchial wall/artery (3 lines, 12%) or vein (1 line, 4%). Conclusion Kerley A-lines primarily represented thickened and continued interlobular septal lines that corresponded to the septa between lung segments and subsegments.

scholarly journals Correlation between chest x-ray findings and outcomes of patients with mechanical ventilation

2013 ◽  
Vol 53 (1) ◽  
pp. 6
Author(s):  
Indah Nurhayati ◽  
Muhammad Supriatna ◽  
Kamilah Budhi Raharjani ◽  
Eddy Sudijanto
Keyword(s):  
Mechanical Ventilation ◽  
Retrospective Study ◽  
Pleural Effusion ◽  
Respiratory Distress ◽  
Pulmonary Edema ◽  
Patient Outcomes ◽  
Morbidity And Mortality ◽  
Chi Square ◽  
X Ray ◽  
Chest X Ray

Background Most infants and children admitted to the pediatricintensive care unit (PICU) have respiratory distress and pulmonarydisease as underlying conditions. Mechanical ventilation may beused to limit morbidity and mortality in children with respiratoryfailure.Objective To assess a correlation between chest x-ray findingsand outcomes of patients with mechanical ventilation.Methods This retrospective study was held in Dr. KariadiHospital, Semarang, Indonesia. Data was collected from themedical records of children admitted to the PICU from Januaryto December 2010, who suffered from respiratory distress andused mechanical ventilation. We compared chest x-ray findings tothe outcomes of patients. Radiological expertise was provided byradiologists on duty at the time. Chi-square and logistic regressiontests were used for statistical analysis.Results There were 63 subjects in our study, consisting of 28 malesand 35 females. Patient outcomes were defined as survived or died,43 subjects ( 68%) and 20 subjects (3 2%), respectively. Chest x-rayfindings revealed the following conditions: bronchopneumonia48% (P=0.298; 95%CI 0.22 to 1.88), pleural effusion 43%(P=0.280; 95%CI 0.539 to 4.837) , pulmonary edema 6%(P=0.622; 95%CI 0.14 to 14.62) and atelectasis 3% (P=0.538;95%CI 0.03 to 7 .62). None of the chest x-ray findings significantlycorrelated to patient outcomes.Conclusion Chest x-ray findings do not correlate to patientoutcomes in pediatric subjects with mechanical ventilation inthe PICU of Dr. Kariadi Hospital, Semarang, Indonesia.

Diagnosis of Lung segmentation for Chest X Ray images using XGBoost

2021 ◽  
Author(s):  
Preeti Arora ◽  
Saksham Gera ◽  
Vinod M Kapse
Keyword(s):  
Lung Segmentation ◽  
X Ray ◽  
Chest X Ray

Diagnostic value of the portable chest x-ray technic in pulmonary edema

1978 ◽  
Vol 135 (4) ◽  
pp. 604-606 ◽  
Author(s):  
Paul R. Liebman ◽  
Ervin Philips ◽  
Richard Weisel ◽  
Jameel Ali ◽  
Herbert B. Hechtman
Keyword(s):  
Pulmonary Edema ◽  
Diagnostic Value ◽  
X Ray ◽  
Portable Chest ◽  
Chest X Ray

scholarly journals Re-expansion pulmonary edema following a pneumothorax drainage in a patient with COVID-19

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kosaku Komiya ◽  
Ryosuke Hamanaka ◽  
Hisayuki Shuto ◽  
Hiroki Yoshikawa ◽  
Atsushi Yokoyama ◽  
...  
Keyword(s):  
Chest Pain ◽  
Pulmonary Edema ◽  
Left Lung ◽  
Viral Pneumonia ◽  
Smoking History ◽  
Lung Field ◽  
Rare Presentation ◽  
X Ray ◽  
Chest X Ray ◽  
Oxygenation Status

Abstract Background Re-expansion pulmonary edema is an uncommon complication following drainage of a pneumothorax or pleural effusion. While pneumothorax is noted to complicate COVID-19 patients, no case of COVID-19 developing re-expansion pulmonary edema has been reported. Case representation A man in his early 40 s without a smoking history and underlying pulmonary diseases suddenly complained of left chest pain with dyspnea 1 day after being diagnosed with COVID-19. Chest X-ray revealed pneumothorax in the left lung field, and a chest tube was inserted into the intrathoracic space without negative pressure 9 h after the onset of chest pain, resulting in the disappearance of respiratory symptoms; however, 2 h thereafter, dyspnea recurred with lower oxygenation status. Chest X-ray revealed improvement of collapse but extensive infiltration in the expanded lung. Therefore, the patient was diagnosed with re-expansion pulmonary edema, and his dyspnea and oxygenation status gradually improved without any intervention, such as steroid administration. Abnormal lung images also gradually improved within several days. Conclusions This case highlights the rare presentation of re-expansion pulmonary edema following pneumothorax drainage in a patient with COVID-19, which recovered without requiring treatment for viral pneumonia. Differentiating re-expansion pulmonary edema from viral pneumonia is crucial to prevent unnecessary medication for COVID-19 pneumonia and pneumothorax.

scholarly journals Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7116
Author(s):  
Lucas O. Teixeira ◽  
Rodolfo M. Pereira ◽  
Diego Bertolini ◽  
Luiz S. Oliveira ◽  
Loris Nanni ◽  
...  
Keyword(s):  
Semantic Segmentation ◽  
Image Database ◽  
Dice Coefficient ◽  
Lung Segmentation ◽  
X Ray ◽  
Explainable Artificial Intelligence ◽  
Segmented Images ◽  
Chest X Ray ◽  
The Impact ◽  
Different Sources

COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in COVID-19 identification using CXR images and evaluate which contents of the image influenced the most. Semantic segmentation was performed using a U-Net CNN architecture, and the classification using three CNN architectures (VGG, ResNet, and Inception). Explainable Artificial Intelligence techniques were employed to estimate the impact of segmentation. A three-classes database was composed: lung opacity (pneumonia), COVID-19, and normal. We assessed the impact of creating a CXR image database from different sources, and the COVID-19 generalization from one source to another. The segmentation achieved a Jaccard distance of 0.034 and a Dice coefficient of 0.982. The classification using segmented images achieved an F1-Score of 0.88 for the multi-class setup, and 0.83 for COVID-19 identification. In the cross-dataset scenario, we obtained an F1-Score of 0.74 and an area under the ROC curve of 0.9 for COVID-19 identification using segmented images. Experiments support the conclusion that even after segmentation, there is a strong bias introduced by underlying factors from different sources.

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

2019 ◽  
Vol 177 ◽  
pp. 285-296 ◽  
Author(s):  
Johnatan Carvalho Souza ◽  
João Otávio Bandeira Diniz ◽  
Jonnison Lima Ferreira ◽  
Giovanni Lucca França da Silva ◽  
Aristófanes Corrêa Silva ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Automatic Method ◽  
Lung Segmentation ◽  
X Ray ◽  
Chest X Ray

HEROIN INTOXICATION IN ADOLESCENTS

PEDIATRICS ◽  
1972 ◽  
Vol 50 (5) ◽  
pp. 746-753
Author(s):  
David M. Kaufman ◽  
Thomas Hegyi ◽  
Joel L. Duberstein
Keyword(s):  
New York ◽  
Pulmonary Edema ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Cerebral Damage ◽  
Blood Gas ◽  
Narcotic Antagonist ◽  
X Ray ◽  
Heroin Intoxication ◽  
Chest X Ray

Three Bronx, New York hospitals have admitted 49 cases of heroin intoxication (overdose) in adolescents during a period of three and a half years. The patients were aged 14 to 17 years, male in 42 cases, and addicted in only two cases. Patients presented with miosis, respiratory depression, obdundation, and, in 33 cases, thoracic rales, or rhonchi. Chest x-ray revealed infiltrates in 34 cases and blood gas analysis showed hypoxia and acidosis in 14 cases. Their course was complicated by pulmonary edema in 28 cases, pneumonia in 16, aspiration in 9, and permanent cerebral damage in 2 cases. Three cases were fatal. Therapy of choice is immediate institution of an airway and ventilation with oxygen. Naloxone (Narcan), a new narcotic antagonist should be administered intravenously, 0.01 mg/kg, with additional doses as clinically indicated.

Acute Pulmonary Edema after Polyethylene Glycol Intestinal Lavage in a Child

1993 ◽  
Vol 27 (9) ◽  
pp. 1044-1047 ◽  
Author(s):  
Christopher M. Paap ◽  
Robert Ehrlich
Keyword(s):  
Polyethylene Glycol ◽  
Respiratory Distress ◽  
Pulmonary Edema ◽  
Ventilatory Support ◽  
Gastrointestinal Symptoms ◽  
Acute Pulmonary Edema ◽  
Severe Respiratory Distress ◽  
X Ray ◽  
Chest X Ray ◽  
Outpatient Settings

OBJECTIVE: To report the case of an eight-year-old girl, without preexisting cardiac or renal disease, who developed acute pulmonary edema and severe respiratory distress after balanced electrolyte with polyethylene glycol (BE-PEG) intestinal lavage. CASE SUMMARY: During the nasogastric infusion of a one-liter dose of BE-PEG (OCL, Abbott), the patient experienced abdominal discomfort, gagging, vomiting, and coughing. After the nasogastric infusion, the patient again had emesis, developed tachypnea, intercostal retractions, and acute respiratory distress. She received oxygen and subsequently required intubation and ventilatory support. Physical examination revealed pulmonary congestion bilaterally but no signs of cardiac failure or sepsis. Chest X-ray revealed bilateral pulmonary edema. Ventilatory support was continued for 36 hours and the patient was extubated after two days. DISCUSSION: Enteral BE-PEG may have caused acute pulmonary edema secondary to aspiration or systemic fluid overload. Although the exact cause remains unknown, the close temporal onset of pulmonary edema after BE-PEG administration in an otherwise healthy child suggests a causal relationship. CONCLUSIONS: This case should alert clinicians to the potential for significant morbidity with BE-PEG solutions, particularly if used in outpatient settings. Patients who receive BE-PEG should be closely observed and monitored for potential aspiration, excessive infusion rates, and gastrointestinal symptoms to optimize efficacy and reduce morbidity.

Sign in / Sign up

Export Citation Format

Share Document