scholarly journals Radiological Characteristics of Patients Infected with Coronavirus Disease-2019 (COVID-19): A Retrospective, Observational Study from Iran

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Latif Panahi ◽  
Abolfazl Etebarian Khorasgani ◽  
Marzieh Amiri ◽  
Somaye Pouy
Keyword(s):  
Ct Scan ◽  
Pulmonary Involvement ◽  
Chest Ct ◽  
Definitive Diagnosis ◽  
High Rate ◽  
Ct Scans ◽  
Stage 4 ◽  
Stage 1 ◽  
Chest Ct Scan

Background: Management of Covid-19 patients is key to control the pandemic. In this line, access to chest Computed Tomography (CT) scan findings and investigating changes during initial diagnosis until recovery is of crucial importance. Objectives: The present study aimed to investigate the chest CT-scan findings of patients with a definitive diagnosis of Covid-19 in Guilan, Iran. Methods: In this retrospective study, 1000 patients with a definitive diagnosis of Covid-19, from 20 April to 30 July 2020, were enrolled. Their first and follow-up chest CT-scans were obtained. Total lung involvement was determined by the number of lobes involved and by scoring 0 to 5 for each lobe (5 lobes, lowest score: 0, and highest score: 25). Results: In this study, three CT-scans of all 1000 patients were studied. Patients were classified into 4 stages according to their hospitalization duration (ranging from 0 to 30 days): stage 1 or primary (0 to 7 days): ground-glass opacities (n = 178 or 89%), stage 2 or progressive (8 to 15 days): increased crazy-paving pattern (n = 89 or 44.5%), stage 3 or peak involvement (16 to 22 days): consolidation (n = 78 or 89%), and stage 4 or decreased pulmonary involvement severity (greater than 23 Day): the gradual resolution of consolidation (n = 178 or 89%). Conclusions: Chest CT-scan findings revealed that patients with Covid-19 had a high rate of pulmonary involvement, on average, for the first 15 days, which then declined.

scholarly journals Post-COVID-19 pulmonary fibrosis and its predictive factors: a prospective study

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Mehrdad Nabahati ◽  
Soheil Ebrahimpour ◽  
Reza Khaleghnejad Tabari ◽  
Rahele Mehraeen
Keyword(s):  
Pulmonary Fibrosis ◽  
Ct Scan ◽  
Predictive Factors ◽  
Lung Fibrosis ◽  
Chest Ct ◽  
Clinical Severity ◽  
Secondary Outcome ◽  
Increased Risk ◽  
Chest Ct Scan

Abstract Background We aimed to prospectively assess the lung fibrotic-like changes, as well as to explore their predictive factors, in the patients who survived Coronavirus Disease 2019 (COVID-19) infection. In this prospective cross-sectional study, we recruited patients who had been treated for moderate or severe COVID-19 pneumonia as inpatients and discharged from Rohani hospital in Babol, northern Iran, during March 2020. The clinical severity of COVID-19 pneumonia was classified as per the definition by World Health Organization. We also calculated the CT severity score (CSS) for all patients at admission. Within the 3 months of follow-up, the next chest CT scan was performed. As the secondary outcome, the patients with fibrotic abnormalities in their second CT scan were followed up in the next 3 months. Results Totally, 173 COVID-19 patients were finally included in the study, of whom 57 (32.9%) were male and others were female. The mean age was 53.62 ± 13.67 years old. At 3-month CT follow-up, evidence of pulmonary fibrosis was observed in 90 patients (52.0%). Consolidation (odds ratio [OR] = 2.84), severe disease (OR 2.40), and a higher CSS (OR 1.10) at admission were associated with increased risk of fibrotic abnormalities found at 3-month CT follow-up. Of 62 patients who underwent chest CT scan again at 6 months of follow-up, 41 patients (66.1%) showed no considerable changes in the fibrotic findings, while the rest of 21 patients (33.9%) showed relatively diminished lung fibrosis. Conclusion Post-COVID-19 lung fibrosis was observed in about half of the survivors. Also, patients with severe COVID-19 pneumonia were at a higher risk of pulmonary fibrosis. Moreover, consolidation, as well as a higher CSS, in the initial chest CT scan, was associated with increased risk of post-COVID-19 lung fibrosis. In addition, some patients experienced diminished fibrotic abnormalities in their chest CT on 6-month follow-up, while some others did not.

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 Chest CT Imaging Characteristics of COVID-19 Pneumonia in Surviving and Non-Surviving Hospitalized Patients: A Retrospective Study in a Referral Center in Tehran, Iran

2021 ◽  
Vol 18 (2) ◽  
Author(s):  
Sara Besharat ◽  
Fatemehsadat Rahimi ◽  
Siamak Afaghi ◽  
Farzad Esmaeili Tarki ◽  
Fatemeh Pourmotahari ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Ct Scan ◽  
Chest Ct ◽  
Ct Scans ◽  
Early Management ◽  
Ct Findings ◽  
Imaging Characteristics ◽  
Significant Difference ◽  
Chest Ct Scan ◽  
Lung Lobes

Background: Coronavirus disease 2019 (COVID-19) has several chest computed tomography (CT) characteristics, which are important for the early management of this disease, because viral detection via RT-PCR can be time-consuming, resulting in a delayed pneumonia diagnosis. The Radiological Society of North America (RSNA) proposed a reporting language for CT findings related to COVID-19 and defined four CT categories: typical, indeterminate, atypical, and negative. Objectives: To retrospectively evaluate the chest CT characteristics of patients with COVID-19 pneumonia. Patients and Methods: A total of 115 hospitalized laboratory-verified COVID-19 cases, underdoing chest CT scan, were included in this study from April 30 to May 15, 2020. Of 115 cases, 53 were discharged from the hospital, and 62 expired. The initial clinical features and chest CT scans were assessed for the type, pattern, distribution, and frequency of lesions. Moreover, the findings were compared between ward-hospitalized, ICU-admitted, and non-surviving (expired) patients. Results: Of four CT categories, typical CT findings for COVID-19 were more frequent in the expired group (77.4%), compared to the ward-admitted (44.8%) and ICU-admitted (70.8%) groups (P = 0.017). However, no significant difference was observed in the prevalence of intermediate or atypical CT findings between the groups. Negative CT scans for the diagnosis of COVID-19 were significantly fewer in the expired group (0%) as compared to the ward-admitted (10.3%) and ICU-admitted (8.3%) groups (P = 0.0180). Also, the mean number of involved lung lobes and segments was significantly higher in the expired group compared to the other two groups (P = 0.032 and 0.010, respectively). The right upper lobe involvement, right middle lobe involvement, bilateral involvement, central lesion, air bronchogram, and pleural effusion were among CT scan findings with a significantly higher prevalence in non-surviving cases (P < 0.0001, 0.047, 0.01, 0.036, 0.038, and 0.047, respectively). Conclusion: The increased number of involved lung lobes and segments, bilateral and central distribution patterns, air bronchogram, and severe pleural effusion in the initial chest CT scan can be related to the increased severity and poor prognosis of COVID-19.

scholarly journals Usage of Compromised Lung Volume in Monitoring Steroid Therapy on Severe COVID-19

2021 ◽  
Author(s):  
Ying Su ◽  
Ze-song Qiu ◽  
Jun Chen ◽  
Min-jie Ju ◽  
Guo-guang Ma ◽  
...  
Keyword(s):  
Steroid Therapy ◽  
Lung Volume ◽  
Quantitative Computed Tomography ◽  
Hounsfield Unit ◽  
Ct Scans ◽  
Quantitative Ct ◽  
Longitudinal Cohort ◽  
Stage 4 ◽  
Stage 1

Abstract BackgroundQuantitative computed tomography (QCT) analysis may serve as a tool for assessing the severity of coronavirus disease 2019 (COVID-19) and for monitoring its progress. The present study aimed to assess the association between steroid therapy and quantitative CT parameters in a longitudinal cohort with COVID-19.MethodsBetween February 7 and February 17, 2020, 300 chest CT scans from 72 patients with severe COVID-19 were retrospectively collected and classified into five stages according to the interval between hospital admission and follow-up CT scans: Stage 1 (at admission); Stage 2 (3–7 days); Stage 3 (8–14 days); Stage 4 (15–21 days); and Stage 5 (22–31 days). QCT was performed using a threshold-based quantitative analysis to segment the lung according to different Hounsfield unit (HU) intervals. The primary outcomes were changes in percentage of compromised lung volume (%CL, –500 to 100 HU) at different stages. Multivariate Generalized Estimating Equations were performed after adjusting for potential confounders.ResultsOf 72 patients, 31 patients (43.1%) received steroid therapy. Steroid therapy was associated with a decrease in %CL (-3.27% [95% CI, -5.86 to -0.68, P = 0.01]) after adjusting for duration and baseline %CL. Associations between steroid therapy and changes in %CL varied between different stages or baseline %CL (all interactions, P < 0.01). Steroid therapy was associated with decrease in %CL after stage 3 (all P < 0.05), but not at stage 2. Similarly, steroid therapy was associated with a more significant decrease in %CL in the high CL group (P < 0.05), but not in the low CL group.ConclusionsSteroid administration was independently associated with a decrease in %CL, with interaction by duration or disease severity in a longitudinal cohort. The quantitative CT parameters, particularly compromised lung volume, may provide a useful tool to monitor COVID-19 progression during the treatment process. Trial registration: Clinicaltrials.gov, NCT04953247. Registered July 7, 2021, https://clinicaltrials.gov/ct2/show/NCT04953247

scholarly journals Agreement between low-dose and ultra-low-dose chest CT for the diagnosis of viral pneumonia imaging patterns during the COVID-19 pandemic

2022 ◽  
Vol 53 (1) ◽  
Author(s):  
Hooman Bahrami-Motlagh ◽  
Yashar Moharamzad ◽  
Golnaz Izadi Amoli ◽  
Sahar Abbasi ◽  
Alireza Abrishami ◽  
...  
Keyword(s):  
Radiation Dose ◽  
Ct Scan ◽  
Predictive Value ◽  
Low Dose ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Viral Pneumonia ◽  
Ct Scans ◽  
Low Dose Ct ◽  
Chest Ct Scan

Abstract Background Chest CT scan has an important role in the diagnosis and management of COVID-19 infection. A major concern in radiologic assessment of the patients is the radiation dose. Research has been done to evaluate low-dose chest CT in the diagnosis of pulmonary lesions with promising findings. We decided to determine diagnostic performance of ultra-low-dose chest CT in comparison to low-dose CT for viral pneumonia during the COVID-19 pandemic. Results 167 patients underwent both low-dose and ultra-low-dose chest CT scans. Two radiologists blinded to the diagnosis independently examined ultra-low-dose chest CT scans for findings consistent with COVID-19 pneumonia. In case of any disagreement, a third senior radiologist made the final diagnosis. Agreement between two CT protocols regarding ground-glass opacity, consolidation, reticulation, and nodular infiltration were recorded. On low-dose chest CT, 44 patients had findings consistent with COVID-19 infection. Ultra-low-dose chest CT had sensitivity and specificity values of 100% and 98.4%, respectively for diagnosis of viral pneumonia. Two patients were falsely categorized to have pneumonia on ultra-low-dose CT scan. Positive predictive value and negative predictive value of ultra-low-dose CT scan were respectively 95.7% and 100%. There was good agreement between low-dose and ultra-low-dose methods (kappa = 0.97; P < 0.001). Perfect agreement between low-dose and ultra-low-dose scans was found regarding diagnosis of ground-glass opacity (kappa = 0.83, P < 0.001), consolidation (kappa = 0.88, P < 0.001), reticulation (kappa = 0.82, P < 0.001), and nodular infiltration (kappa = 0.87, P < 0.001). Conclusion Ultra-low-dose chest CT scan is comparable to low-dose chest CT for detection of lung infiltration during the COVID-19 outbreak while maintaining less radiation dose. It can also be used instead of low-dose chest CT scan for patient triage in circumstances where rapid-abundant PCR tests are not available.

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.

scholarly journals Lung Ultrasonography for long-term follow-up of COVID-19 survivors compared to chest CT scan

2021 ◽  
pp. 106384
Author(s):  
Guido Giovannetti ◽  
Lucrezia De Michele ◽  
Michele De Ceglie ◽  
Paola Pierucci ◽  
Alessandra Mirabile ◽  
...  
Keyword(s):  
Ct Scan ◽  
Chest Ct ◽  
Lung Ultrasonography ◽  
Long Term Follow Up ◽  
Chest Ct Scan

scholarly journals The Spectrum of Chest CT-Scans in the Hospitalized Patients with the Coronavirus Disease

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Maria Shirvani ◽  
Alireza Janbakhsh ◽  
Feizollah Mansouri ◽  
Babak Sayad ◽  
Siavash Vaziri ◽  
...  
Keyword(s):  
Ct Scan ◽  
Clinical Symptoms ◽  
Large Family ◽  
Chest Ct ◽  
Hospitalized Patients ◽  
Ct Scans ◽  
Ground Glass ◽  
Sample Population ◽  
Ground Glass Opacification ◽  
Chest Ct Scan

Background: Coronaviruses are a large family of RNA viruses, which range from the common cold virus to the causative agent of more severe diseases. Coronavirus was declared a pandemic in December 2019 in Wuhan, China. Iran has been an endemic zone for the spread of the coronavirus since the outset of this global epidemic and has remained among the countries largely affected by high rates of the disease. Objectives: The present study aimed to investigate the range of the chest computed tomography (CT) scan findings among the hospitalized patients with COVID-19 in Kermanshah, Iran during March-April 2020 to contribute to the accurate diagnosis of the infected patients. Methods: The sample population consisted of 286 hospitalized patients diagnosed with or suspected of the coronavirus disease. Chest CT-scan images and clinical data were reviewed, and their correlation was analyzed. Results: In total, 176 patients (61.53%) were male, and 110 (38.47%) were female. The mean age of the patients was 56 years. Polymerase chain reaction (PCR) results showed that 35.31% of the cases had coronavirus, while the results were negative in 64.69% of the cases. In addition, the CT-scan findings indicated 77.27% abnormal and 22.73% normal chest CT-scans. Among the patients, 75.87% recovered completely, and 18.53% died. The major CT abnormalities were diffuse ground-glass opacification (35.66%), peripheral ground-glass opacification (bilateral; 21.33%), and a combination of diffuse and peripheral ground-glass lesions (18.88%). The consolidation lesion of one lobe was detected in 16 patients, and the consolidation lesion of more than one lobe was observed in 40 patients. Conclusions: According to the results, the most common chest CT-scan findings in COVID-19 include diffuse ground-glass opacification, peripheral ground-glass opacification (bilateral), central ground-glass opacification (bilateral), a combination of diffuse and peripheral ground-glass opacification, a combination of central and peripheral ground-glass opacification, the consolidation lesion of one lobe, and the consolidation lesion of more than one lobe. Furthermore, significant correlations were observed between the CT-scans and the main clinical symptoms, while no significant correlations were denoted between the chest CT-scan and PCR results.

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 Use of Low-dose Chest CT Scan in the Evaluation of Breast Composition According to the Recommendations of BI-RADS Atlas-Fifth Edition

2020 ◽  
Vol 17 (2) ◽  
Author(s):  
Feng Ao ◽  
Xueguo Liu ◽  
Mingzhu Liang ◽  
Jiebing Gao
Keyword(s):  
Lung Cancer ◽  
Ct Scan ◽  
Low Dose ◽  
Chest Ct ◽  
Dense Breast ◽  
Ct Scans ◽  
Low Dose Ct ◽  
Dense Breasts ◽  
Breast Tissues ◽  
Chest Ct Scan

Background: Breast cancer and lung cancer are the leading causes of cancer-related mortality in women. Computed tomography (CT) plays an important role in lung cancer examination but an unidentified role in breast examination. Objectives: To investigate the feasibility of breast composition categorization according to the fifth edition of Breast Imaging-Reporting and Data System (BI-RADS) atlas in low-dose CT screening. Patients and Methods: This was a cross-sectional study completed in The 5th Affiliated Hospital of Sun Yat-sen University, Zhuhai, China. We collected the imaging data of 57 women, who underwent low-dose chest CT scan and mammography within one week from 1st October 2013 to 31st March 2015. Two radiologists independently interpreted the mammograms and chest CT scans and classified the breast composition into categories a, b, c, and d. We also summarized the distribution of breast composition categories by collecting, observing, and classifying the chest CT scans from 1916 female examinees from 1st October 2013 to 31st March 2016. Results: Excellent agreement was observed between the two radiologists, using both low-dose CT scan (κ = 0.91) and mammography (κ = 0.86). Agreement between low-dose chest CT scan and mammography was moderate for radiologist A (κ = 0.50) and radiologist B (κ = 0.43). More breasts were classified in categories a and b on the chest CT scan compared to mammography according to both radiologist A (P < 0.01) and radiologist B (P < 0.01). The proportion of non-dense breast tissues (categories a & b) increased with advancing age, while the proportion of dense breast tissues (categories c & d) decreased (P < 0.05). With advancing age, the probability of non-dense breasts increased, while the probability of dense breasts decreased. Conclusions: Based on the findings, it is feasible to categorize breast composition using low-dose chest CT. In the older age group, the probability of non-dense breasts increased.

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