Imaging findings of pulmonary edema: Part 1. Cardiogenic pulmonary edema and acute respiratory distress syndrome

Tsuchiya, Nanae; Griffin, Lindsay; Yabuuchi, Hidetake; Kawanami, Satoshi; Shinzato, Jintetsu; Murayama, Sadayuki

doi:10.1177/0284185119857433

Cited by 11 publications

(10 citation statements)

References 35 publications

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“…1 Dept of Pulmonary medicine, All India Institute of Medical Sciences, Jodhpur, India. 2 Dept of Cardiology, Shahi Global Hospital, Gorakhpur, India. 3 Dept of General Surgery, Shahi Global Hospital, Gorakhpur, India.…”

Section: Post Partum Dyspnoeamentioning

confidence: 99%

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Post partum dyspnoea: look beyond the lungs

Shadrach

Tiwari

Deokar

et al. 2021

Breathe

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Section: Post Partum Dyspnoeamentioning

confidence: 99%

“…The clinical findings of an elevated JVP with pedal oedema and typical radiological findings (bilateral alveolar shadows, cardiomegaly and enlargement of the pulmonary vasculature) favours cardiogenic pulmonary oedema [ 2 ]. The diagnostic criteria of ARDS is given by the Berlin definition [ 3 ].…”

mentioning

confidence: 99%

Post partum dyspnoea: look beyond the lungs

Shadrach

Tiwari

Deokar

et al. 2021

Breathe

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“…Отмечается градиент уплотнений в зависимости от положения пациента (на спине, на животе), а также вздутие базальных сегментов легких. При прогрессировании недостаточности кровообращения изменения нарастают, появляется выпот в плевральной полости (односторонний или двухсторонний), становится визуализируемым расширение левых камер сердца [33,60]. Рис.…”

Section: осложнения новой коронавирусной инфекции Covid-19unclassified

Imaging of lung pathology in COVID-19 (literature review and own data)

Tyurin

Strutynskaya

2020

Pulʹmonologiâ (Mosk.)

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Novel coronavirus infection is predominantly manifests as lung tissue damage. Imaging methods, particularly, chest X-Ray and computed tomography, are of great importance for detecting pulmonary changes and differentiate them with other diseases (mainly other viral pneumonias). In the early disease stages the disease presents on CT with ground glass opacities, consolidations, crazy paving symptom. With time course, they can gradually decrease, evolve into organizing pneumonia or stay stable and even increase in volume with the spread of consolidation and formation of several signs of organizing pneumonia. Although radiological methods show high sensitivity in the detection of pulmonary changes, their specificity and prognostic ability are not so good today. Novel coronavirus infection can be complicated with pulmonary embolism, development thrombosis in situ in pulmonary small vessels, acute heart failure and subsequent development of cardiogenic pulmonary edema, bacterial superinfection, exacerbation or worsening of chronic lung disease and several iatrogenic issues (pneumothorax, pneumomediastinum, hematomas).

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“…ALHF is a clinical syndrome such as ischemia, hypoxia, and dyspnea mainly resulting in pulmonary circulation congestion, which is caused by decreased acute myocardial contraction, increased left ventricular end-diastolic pressure, and decreased cardiac output due to valvular heart disease, myocardial damage, arrhythmia, and left ventricle overload [ 1 ]. The main clinical manifestation of the patient is acute pulmonary edema, which can lead to cardiogenic shock or cardiac arrest, which seriously threatens the patient's life safety [ 2 ]. According to relevant statistics, the mortality rate of elderly patients with ALHF is about 2.8% and the mortality rate within 3 months can be as high as 9.27%.…”

Section: Introductionmentioning

confidence: 99%

The Role of Deep Learning-Based Echocardiography in the Diagnosis and Evaluation of the Effects of Routine Anti-Heart-Failure Western Medicines in Elderly Patients with Acute Left Heart Failure

Chen

Gao

2021

Journal of Healthcare Engineering

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Objective. The role of deep learning-based echocardiography in the diagnosis and evaluation of the effects of routine anti-heart-failure Western medicines was investigated in elderly patients with acute left heart failure (ALHF). Methods. A total of 80 elderly patients with ALHF admitted to Affiliated Hangzhou First People’s Hospital from August 2017 to February 2019 were selected as the research objects, and they were divided randomly into a control group and an observation group, with 40 cases in each group. Then, a deep convolutional neural network (DCNN) algorithm model was established, and image preprocessing was carried out. The binarized threshold segmentation was used for denoising, and the image was for illumination processing to balance the overall brightness of the image and increase the usable data of the model, so as to reduce the interference of subsequent feature extraction. Finally, the detailed module of deep convolutional layer network algorithm was realized. Besides, the patients from the control group were given routine echocardiography, and the observation group underwent echocardiography based on deep learning algorithm. Moreover, the hospitalization status of patients from the two groups was observed and recorded, including mortality rate, rehospitalization rate, average length of hospitalization, and hospitalization expenses. The diagnostic accuracy of the two examination methods was compared, and the electrocardiogram (ECG) and echocardiographic parameters as well as patients’ quality of life were recorded in both groups at the basic state and 5 months after drug treatment. Results. After comparison, the rehospitalization rate and mortality rate of the observation group were lower than the rates of the control group, but the diagnostic accuracy was higher than that of the control group. However, the difference between the two groups of patients was not statistically marked ( P > 0.05 ). The length and expenses of hospitalization of the observation group were both less than those of the control group. The specificity, sensitivity, and accuracy of the examination methods in the observation group were higher than those of the control group, and the differences were statistically marked ( P < 0.05 ). There was a statistically great difference between the interventricular delay (IVD) of the echocardiographic parameters of patients from the two groups at the basic state and the left ventricular electromechanical delay (LVEMD) parameter values after 5 months of treatment ( P < 0.05 ), but there was no significant difference in the other parameters. After treatment, the quality of life of patients from the two groups was improved, while the observation group was more marked than the control group ( P < 0.05 ). Conclusion. Echocardiography based on deep learning algorithm had high diagnostic accuracy and could reduce the possibility of cardiovascular events in patients with heart failure, so as to decrease the mortality rate and diagnosis and treatment costs. Moreover, it had an obvious diagnostic effect, which was conducive to the timely detection and treatment of clinical diseases.

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Imaging findings of pulmonary edema: Part 1. Cardiogenic pulmonary edema and acute respiratory distress syndrome

Cited by 11 publications

References 35 publications

Post partum dyspnoea: look beyond the lungs

Post partum dyspnoea: look beyond the lungs

Imaging of lung pathology in COVID-19 (literature review and own data)

The Role of Deep Learning-Based Echocardiography in the Diagnosis and Evaluation of the Effects of Routine Anti-Heart-Failure Western Medicines in Elderly Patients with Acute Left Heart Failure

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