CNN-based Prediction of COVID-19 using Chest CT Images

2021 ◽  
pp. 2250039
Author(s):  
Tanvi Arora
Keyword(s):  
Ct Scan ◽  
Good Accuracy ◽  
Ct Images ◽  
Chest Ct ◽  
X Ray ◽  
Infected People ◽  
The World ◽  
Severity Of The Disease ◽  
Application Programs ◽  
Chest Ct Scan

The coronavirus disease (COVID-19) pandemic that is caused by the SARS-CoV2 has spread all over the world. It is an infectious disease that can spread from person to person. The severity of the disease can be categorized into five categories namely asymptomatic, mild, moderate, severe, and critical. From the reported cases thus, it has been seen that 80% of the cases that test positive with COVID-19 infection have less than moderate complications, whereas 20% of the positive cases develop severe and critical complications. The virus infects the lungs of an individual, therefore, it has been observed that the X-ray and computed tomography (CT) scan images of the infected people can be used by the machine learning-based application programs to predict the presence of the infection. Therefore, in the proposed work, a Convolutional Neural Network model based upon the DenseNet architecture is being used to predict the presence of COVID-19 infection using the CT scan images of the chest. The proposed work has been carried out using the dataset of the CT images from the COVID CT Dataset. It has 349 images marked as COVID-19 positive and 397 images have been marked as COVID-19 negative. The proposed system can categorize the test set images with an accuracy of 91.4%. The proposed method is capable of detecting the presence of COVID-19 infection with good accuracy using the chest CT scan images of the humans.

scholarly journals (F)utility of computed tomography of the chest in the presence of pleural effusion

2017 ◽  
Vol 2 (4) ◽  
pp. 181-186 ◽  
Author(s):  
Tilak Pathak ◽  
Malvinder S. Parmar
Keyword(s):  
Computed Tomography ◽  
Pleural Effusion ◽  
Ct Scan ◽  
Clinical Management ◽  
Chest Ct ◽  
X Ray ◽  
Contrast Enhanced ◽  
Plain Chest ◽  
Chest X Ray ◽  
Chest Ct Scan

AbstractBackgroundPleural effusion is common and can cause significant morbidity. The chest X-ray is often the initial radiological test, but additional tests may be required to reduce uncertainty and to provide additional diagnostic information. However, additional exposure and unnecessary costs should be prevented. The objective of the study was to assess the clinical benefit of an additional chest computed tomography (CT) scan over plain chest X-ray alone in the management of patients with pleural effusion.MethodsRetrospective analysis in 94 consecutive patients with pleural effusion who underwent chest X-ray and CT scan over an 18-month period in a single institution. All chest X-ray and CT scan reports were compared and correlated with clinical parameters in order to assess their utility in the clinical management. No blinding was applied.ResultsIn 75 chest CT scan reports (80 %), information provided by the radiologist did not change clinical management when compared to plain chest X-ray alone and did not provide any additional information over chest X-ray. Only 2/49 (4 %) of the native chest CT scan reports provided clinically relevant information as compared to 17/45 (38 %) contrast-enhanced chest CT scan reports (p<0.001).ConclusionsIn this retrospective cohort of patients with pleural effusion, an additional chest CT scan was not useful in the majority of patients. However, if a chest CT scan is required, then a contrast-enhanced study after pleural aspiration should be performed. Further prospective studies are required to confirm these findings.

Ultrasound Detection of Pneumothorax Compared with Chest X-Ray and Computed Tomography Scan

2011 ◽  
Vol 77 (4) ◽  
pp. 480-483 ◽  
Author(s):  
Khanjan Nagarsheth ◽  
Stanley Kurek
Keyword(s):  
Ct Scan ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Chest Ct ◽  
Trauma Patients ◽  
X Rays ◽  
Thoracic Ultrasound ◽  
X Ray ◽  
Chest X Ray ◽  
Chest Ct Scan

Pneumothorax after trauma can be a life threatening injury and its care requires expeditious and accurate diagnosis and possible intervention. We performed a prospective, single blinded study with convenience sampling at a Level I trauma center comparing thoracic ultrasound with chest X-ray and CT scan in the detection of traumatic pneumothorax. Trauma patients that received a thoracic ultrasound, chest X-ray, and chest CT scan were included in the study. The chest X-rays were read by a radiologist who was blinded to the thoracic ultrasound results. Then both were compared with CT scan results. One hundred and twenty-five patients had a thoracic ultrasound performed in the 24-month period. Forty-six patients were excluded from the study due to lack of either a chest X-ray or chest CT scan. Of the remaining 79 patients there were 22 positive pneumothorax found by CT and of those 18 (82%) were found on ultrasound and 7 (32%) were found on chest X-ray. The sensitivity of thoracic ultrasound was found to be 81.8 per cent and the specificity was found to be 100 per cent. The sensitivity of chest X-ray was found to be 31.8 per cent and again the specificity was found to be 100 per cent. The negative predictive value of thoracic ultrasound for pneumothorax was 0.934 and the negative predictive value for chest X-ray for pneumothorax was found to be 0.792. We advocate the use of chest ultrasound for detection of pneumothorax in trauma patients.

Postoperative follow-up of lung cancer: Randomized trial comparing two follow-up programs in completely resected non-small cell lung cancer (IFCT-0302).

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. TPS7111-TPS7111
Author(s):  
Virginie Westeel ◽  
Fabrice Barlesi ◽  
Jean Domas ◽  
Philippe Girard ◽  
Pascal Foucher ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Physical Examination ◽  
Ct Scan ◽  
Fiberoptic Bronchoscopy ◽  
Chest Ct ◽  
Small Cell Lung ◽  
X Ray ◽  
Chest X Ray ◽  
Chest Ct Scan

TPS7111 Background: There are no robust data published on the follow-up after surgery for non-small cell lung cancer (NSCLC). Current international guidelines are informed by expert opinion. Most of them recommend regular follow-up with clinic visit and thoracic imaging, either chest X-ray of Chest CT-scan. The IFCT-0302 trial addresses the question whether a surveillance program with chest CT-scan and fiberoptic bronchoscopy can improve survival compared to a follow-up only based on physical examination and chest x-ray. There is no such trial ongoing over the world. Methods: The IFCT-0302 trial is a multicenter open-label controlled randomized phase III trial. The objective of the trial is to compare two follow-up programs after surgery for stage I-IIIa NSCLC. The primary endpoint is overall survival. Patients are randomly assigned to arm 1, minimal follow-up, including physical examination and chest x-ray; or arm 2, a follow-up consisting of physical examination and chest x-ray plus chest CT scan and fiberoptic bronchoscopy (optional for adenocarcinomas). In both arms, follow-up procedures are performed every 6 months during the first two postoperative years, and every year between the third and the fifth years. The main eligibility criteria include: completely resected stage I-IIIA (6th UICC TNM classification) or T4 (in case of nodules in the same lobe as the tumor) N0 M0 NSCLC, surgery within the previous 8 weeks. Patients who have received and/or who will receive pre/post-operative chemotherapy and/or radiotherapy are eligible. Statistical considerations: 1,744 patients is required. Accrual status: 1,568 patients from 119 French centers had been included. The end of accrual can be expected for September 2012. Ancillary study: Blood samples are collected in 1000 patients for genomic high density SNP micro-array analysis. This collection will contribute to the French genome wide association study (gwas) of lung cancer gene susceptibility, and the genetic factors predictive of survival and lung cancer recurrence will be analyzed.

scholarly journals A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

2021 ◽  
pp. 105014
Author(s):  
Khabir Uddin Ahamed ◽  
Manowarul Islam ◽  
Ashraf Uddin ◽  
Arnisha Akhter ◽  
Bikash Kumar Paul ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ct Scan ◽  
Chest Ct ◽  
Learning Approach ◽  
X Ray ◽  
Chest Ct Scan

COVID-19 image transmission using convolutional neural networks based algorithms for medical applications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gangadhar Ch ◽  
Nama Ajay Nagendra ◽  
Syed Mutahar Aaqib ◽  
C.M. Sulaikha ◽  
Shaheena Kv ◽  
...  
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Ct Scan ◽  
Health Information ◽  
Convolutional Neural Networks ◽  
Health Information Systems ◽  
Ct Images ◽  
Chest Ct ◽  
Content Type ◽  
Chest Ct Scan

Purpose COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems. Design/methodology/approach Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated. Originality/value The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images.

CLINICAL CORRELATION AND AGREEMENT BETWEEN THE CHEST CT SCAN AND CHEST X-RAY FINDINGS IN TUBERCULIN-POSITIVE CHILDREN: A PROSPECTIVE CROSS SECTIONAL STUDY

CHEST Journal ◽  
2009 ◽  
Vol 136 (4) ◽  
pp. 40S
Author(s):  
Beverly D. Delacruz ◽  
Nerissa A. Deleon ◽  
Milagros S. Bautista ◽  
Fernando Ayuyao ◽  
Teresita Deguia
Keyword(s):  
Ct Scan ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Clinical Correlation ◽  
Sectional Study ◽  
Cross Sectional ◽  
X Ray ◽  
Chest X Ray ◽  
Chest Ct Scan

scholarly journals Chest X-Ray Findings and Temporal Lung Changes in Patients with COVID-19 Pneumonia

2020 ◽  
Author(s):  
Liqa A Rousan ◽  
Eyhab Elobeid ◽  
Musaab Karrar ◽  
Yousef Khader
Keyword(s):  
Ct Scan ◽  
Chest Ct ◽  
Common Finding ◽  
X Rays ◽  
Radiographic Findings ◽  
X Ray ◽  
Abnormal Chest ◽  
Chest X Ray ◽  
Chest Ct Scan

Abstract Background: Chest CT scan and chest x-rays show characteristic radiographic findings in patients with COVID-19 pneumonia. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia. The study aims at describing the chest x-ray findings and temporal radiographic changes in COVID-19 patients.Methods: From March 15 to April 20, 2020 patients with positive reverse transcription polymerase chain reaction (RT-PCR) for COVID-19 were retrospectively studied. Patients’ demographics, clinical characteristics, and chest x-ray findings were reported. Radiographic findings were correlated with the course of the illness and patients’ symptoms.Results: A total of 88 patients (50 (56.8%) females and 38 (43.2%) males) were admitted to the hospital with confirmed COVID-19 pneumonia. Their age ranged from 3-80 years (35.2 ±18.2 years). 48/88 (45%) were symptomatic, only 13/88 (45.5%) showed abnormal chest x-ray findings. A total of 190 chest x-rays were obtained for the 88 patients with a total of 59/190 (31%) abnormal chest x-rays. The most common finding on chest x-rays was peripheral ground glass opacities (GGO) affecting the lower lobes. In the course of illness, the GGO progressed into consolidations peaking around 6-11 days (GGO 70%, consolidations 30%). The consolidations regressed into GGO towards the later phase of the illness at 12-17 days (GGO 80%, consolidations 10%). There was increase in the frequency of normal chest x-rays from 9% at days 6- 11 up to 33% after 18 days indicating a healing phase. The majority (12/13, 92.3%) of patients with abnormal chest x-rays were symptomatic (P=0.005).Conclusion: The chest x-ray findings were similar to those reported on chest CT scan in patients with COVID-19, Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia.

scholarly journals Outcome of Pulmonary Spherical Ground-glass Opacities on Ct in Patients With Coronavirus Disease 2019 (Covid-19): A Retrospective Analysis

2020 ◽  
Author(s):  
Wangjia Li ◽  
Liangbo Hu ◽  
Junhao Huang ◽  
Fajin Lv ◽  
Binjie Fu ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Ct Scan ◽  
Retrospective Analysis ◽  
Ct Images ◽  
Chest Ct ◽  
Ground Glass ◽  
Direct Absorption ◽  
Simultaneous Decrease ◽  
Chest Ct Scan

Abstract Background: Pulmonary spherical ground-glass opacities (GGOs) are commonly detected on initial chest CT scan in patients with coronavirus disease 2019 (COVID-19).We aimed to investigate the evolution of spherical GGOs to better understand their clinical significance.Materials and Methods:A retrospective study of 33 consecutive patients with confirmed COVID-19 and pulmonary spherical GGOs was performed from January 21, 2020, to March 6, 2020. The initial and follow-up CT images and clinical data were reviewed. The initial CT manifestations of spherical GGOs and their subsequent changes were mainly evaluated. Results:A total of 101 pulmonary spherical GGOs, including 38 with and 63 without consolidation, were found in 33 patients. Of the 101 spherical GGOs, 71 (70.3%) and 30 (29.7%) showed progression and direct absorption on follow-up CT images, respectively. GGOs with consolidation were more likely to progress than those without (84.2% vs. 61.9%, p = 0.017). The 71 progressed lesions mainly showed an increase in size and/or density and most (70.4%) of them extended toward the pleura and developed from spherical to patchy. Internal consolidation appeared and increased in 18 (25.4%) and 22 (31.0%) lesions, respectively. During absorption, all the previous progressed and directly absorbed lesions exhibited a simultaneous decrease in size and density. On each patient’s final CT, more lesions with progression had a residual mixed GGO (40.8% vs. 6.7%, p = 0.002) and fewer had pure GGO (39.4% vs. 60.0%, p = 0.016) than those with direct absorption.Conclusion: In patients with COVID-19, most pulmonary spherical ground-glass opacities would progress, especially those with consolidation, and develop into patchy, subpleural lesions.

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