scholarly journals Total Lung and Lobar Quantitative Assessment Based on Paired Inspiratory–Expiratory Chest CT in Healthy Adults: Correlation with Pulmonary Ventilatory Function

Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1791
Author(s):  
Feihong Wu ◽  
Leqing Chen ◽  
Jia Huang ◽  
Wenliang Fan ◽  
Jinrong Yang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ct Scan ◽  
Lung Volume ◽  
Significant Relationship ◽  
Lower Lobe ◽  
Chest Ct ◽  
Healthy Adults ◽  
Ventilatory Function ◽  
Quantitative Indexes ◽  
Chest Ct Scan

Objective: To provide the quantitative volumetric data of the total lung and lobes in inspiration and expiration from healthy adults, and to explore the value of paired inspiratory–expiratory chest CT scan in pulmonary ventilatory function and further explore the influence of each lobe on ventilation. Methods: A total of 65 adults (29 males and 36 females) with normal clinical pulmonary function test (PFT) and paired inspiratory–expiratory chest CT scan were retrospectively enrolled. The inspiratory and expiratory volumetric indexes of the total lung (TL) and 5 lobes (left upper lobe [LUL], left lower lobe [LLL], right upper lobe [RUL], right middle lobe [RML], and right lower lobe [RLL]) were obtained by Philips IntelliSpace Portal image postprocessing workstation, including inspiratory lung volume (LVin), expiratory lung volume (LVex), volume change (∆LV), and well-aerated lung volume (WAL, lung tissue with CT threshold between −950 and -750HU in inspiratory scan). Spearman correlation analysis was used to explore the correlation between CT quantitative indexes of the total lung and ventilatory function indexes (including total lung capacity [TLC], residual volume [RV], and force vital capacity [FVC]). Multiple stepwise regression analysis was used to explore the influence of each lobe on ventilation. Results: At end-inspiratory phase, the LVin-TL was 4664.6 (4282.7, 5916.2) mL, the WALTL was 4173 (3639.6, 5250.9) mL; both showed excellent correlation with TLC (LVin-TL: r = 0.890, p < 0.001; WALTL: r = 0.879, p < 0.001). From multiple linear regression analysis with lobar CT indexes as variables, the LVin and WAL of these two lobes, LLL and RUL, showed a significant relationship with TLC. At end-expiratory phase, the LVex-TL was 2325.2 (1969.7, 2722.5) mL with good correlation with RV (r = 0.811, p < 0.001), of which the LVex of RUL and RML had a significant relationship with RV. For the volumetric change within breathing, the ∆LVTL was 2485.6 (2169.8, 3078.1) mL with good correlation with FVC (r = 0.719, p < 0.001), moreover, WALTL showed a better correlation with FVC (r = 0.817, p < 0.001) than that of ∆LVTL. Likewise, there was also a strong association between ∆LV, WAL of these two lobes (LLL and RUL), and FVC. Conclusions: The quantitative indexes derived from paired inspiratory–expiratory chest CT could reflect the clinical pulmonary ventilatory function, LLL, and RUL give greater impact on ventilation. Thus, the pulmonary functional evaluation needs to be more precise and not limited to the total lung level.

scholarly journals Chest computed tomography (CT) scan findings in patients with COVID-19: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Mohammad Karimian ◽  
Milad Azami
Keyword(s):  
Computed Tomography ◽  
Ct Scan ◽  
Meta Analysis ◽  
Lower Lobe ◽  
Chest Ct ◽  
Transformation Rule ◽  
Cochrane Library ◽  
Final Report ◽  
Chest Computed Tomography ◽  
Chest Ct Scan

AbstractObjectivesNumerous cases of pneumonia of caused by coronavirus disease 2019 (COVID-19) were reported in Wuhan, China. Chest computed tomography (CT) scan is highly important in the diagnosis and follow-up of lung disease treatment. The present meta-analysis was performed to evaluate chest CT findings in COVID-19 patients.Materials and MethodsAll research steps were taken according to the MOOSE protocol and the final report was based on PRISMA guidelines. Each stage of the study was conducted by two independent authors. We searched the Web of Science, Ovid, Science Direct, Scopus, EMBASE, PubMed/Medline, Cochrane Library, EBSCO, CINAHL and Google scholar databases. The search was conducted on March 20, 2020. Grey literature was searched at medrxiv website. All analyses were performed using Comprehensive Meta-Analysis. The adapted Newcastle Ottawa Scale was used to evaluate the risk of bias. We registered this review at PROSPERO (registration number: CRD42019127858).ResultsFinally, 40 eligible studies with 4,183 patients with COVID-19 were used for meta- analysis. The rate of positive chest CT scan in patients with COVID-19 was 94.5% (95%CI: 91.7-96.3). Bilateral lung involvement, pure ground-glass opacity (GGO), mixed (GGO pulse consolidation or reticular), consolidation, reticular, and presence of nodule findings in chest CT scan of COVID-19 pneumonia patients were respectively estimated to be 79.1% (95% CI: 70.8- 85.5), 64.9% (95%CI: 54.1-74.4), 49.2% (95%CI: 35.7-62.8), 30.3% (95%CI: 19.6-43.6), 17.0% (95%CI: 3.9-50.9) and 16.6% (95%CI: 13.6-20.2). The distribution of lung lesions in patients with COVID-19 pneumonia was peripheral (70.0% [95%CI: 57.8-79.9]), central (3.9% [95%CI: 1.4-10.6]), and peripheral and central (31.1% [95%CI: 19.5-45.8]). The most common pulmonary lobes involved were right lower lobe (86.5% [95%CI: 57.7-96.8]) and left lower lobe (81.0% [95%CI: 50.5-94.7]).ConclusionOur study showed that chest CT scan has little weakness in diagnosis of COVID-19 combined to personal history, clinical symptoms, and initial laboratory findings, and may therefore serve as a standard method for diagnosis of COVID-19 based on its features and transformation rule, before initial RT-PCR screening.

Cancer surgery during the COVID‐19 pandemic: The experience of a comprehensive cancer center performing preoperative screening by RT‐PCR and chest CT scan

2021 ◽  
Vol 123 (4) ◽  
pp. 815-822
Author(s):  
Joanne Guerlain ◽  
Fabienne Haroun ◽  
Alexandra Voicu ◽  
Charles Honoré ◽  
Franck Griscelli ◽  
...  
Keyword(s):  
Ct Scan ◽  
Chest Ct ◽  
Cancer Surgery ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Preoperative Screening ◽  
Rt Pcr ◽  
Chest Ct Scan

scholarly journals A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Fatemeh Khatami ◽  
Mohammad Saatchi ◽  
Seyed Saeed Tamehri Zadeh ◽  
Zahra Sadat Aghamir ◽  
Alireza Namazi Shabestari ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Reverse Transcriptase ◽  
Ct Scan ◽  
Predictive Value ◽  
Meta Analysis ◽  
Chest Ct ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Polymerase Chain ◽  
Chest Ct Scan

AbstractNowadays there is an ongoing acute respiratory outbreak caused by the novel highly contagious coronavirus (COVID-19). The diagnostic protocol is based on quantitative reverse-transcription polymerase chain reaction (RT-PCR) and chests CT scan, with uncertain accuracy. This meta-analysis study determines the diagnostic value of an initial chest CT scan in patients with COVID-19 infection in comparison with RT-PCR. Three main databases; PubMed (MEDLINE), Scopus, and EMBASE were systematically searched for all published literature from January 1st, 2019, to the 21st May 2020 with the keywords "COVID19 virus", "2019 novel coronavirus", "Wuhan coronavirus", "2019-nCoV", "X-Ray Computed Tomography", "Polymerase Chain Reaction", "Reverse Transcriptase PCR", and "PCR Reverse Transcriptase". All relevant case-series, cross-sectional, and cohort studies were selected. Data extraction and analysis were performed using STATA v.14.0SE (College Station, TX, USA) and RevMan 5. Among 1022 articles, 60 studies were eligible for totalizing 5744 patients. The overall sensitivity, specificity, positive predictive value, and negative predictive value of chest CT scan compared to RT-PCR were 87% (95% CI 85–90%), 46% (95% CI 29–63%), 69% (95% CI 56–72%), and 89% (95% CI 82–96%), respectively. It is important to rely on the repeated RT-PCR three times to give 99% accuracy, especially in negative samples. Regarding the overall diagnostic sensitivity of 87% for chest CT, the RT-PCR testing is essential and should be repeated to escape misdiagnosis.

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.

A 71-Year-Old Man With Fever, Productive Cough, and Tree-in-Bud Pattern on Chest CT Scan

CHEST Journal ◽  
2013 ◽  
Vol 144 (2) ◽  
pp. 700-703 ◽  
Author(s):  
Sarah Bastawrous ◽  
Jan V. Hirschmann
Keyword(s):  
Ct Scan ◽  
Chest Ct ◽  
Productive Cough ◽  
Chest Ct Scan

PULMONARY BIRT-HOGG-DUBE SYNDROME: A GOOD REASON TO ROUTINELY PERFORM A LOW DOSE CHEST CT SCAN IN PATIENTS WITH PRIMARY SPONTANEOUS PNEUMOTHORAX?

CHEST Journal ◽  
2018 ◽  
Vol 154 (4) ◽  
pp. 576A
Author(s):  
JINCEY SRIRAM ◽  
IRMA VAN DE BEEK ◽  
PAUL JOHANNESMA ◽  
MICHIEL VAN WERKUM ◽  
TIJMEN VAN DER WEL ◽  
...  
Keyword(s):  
Ct Scan ◽  
Spontaneous Pneumothorax ◽  
Low Dose ◽  
Good Reason ◽  
Chest Ct ◽  
Primary Spontaneous Pneumothorax ◽  
Chest Ct Scan

scholarly journals Chest CT scan as an initial diagnostic method for tuberculosis infection detected by mass screening

2020 ◽  
Author(s):  
Dong-Hyun Joo ◽  
Hyun Woo Lee ◽  
Seo-Young Yoon ◽  
Tae Yun Park ◽  
Eun Young Heo ◽  
...  
Keyword(s):  
Ct Scan ◽  
Mass Screening ◽  
Diagnostic Method ◽  
Chest Ct ◽  
Tuberculosis Infection ◽  
Chest Ct Scan

scholarly journals Study on the Effect of Individual Factors on the Radiation Dose in Chest CT

2020 ◽  
Author(s):  
Dechuan Zhang ◽  
Longling Fan ◽  
Xuqian Liang ◽  
Teiying Yin ◽  
Qigen Li ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Radiation Dose ◽  
Ct Scan ◽  
Ct Scanning ◽  
Multivariate Regression Analysis ◽  
Major Effect ◽  
Chest Ct ◽  
Individual Factors ◽  
Dose Length Product ◽  
Ct Radiation

Abstract Objective To explore the influence of patient’s individual factors on the radiation dose in chest computed tomography (CT) scan. Methods Based on the clinical chest CT scan scheme and the scanning conditions were unified, Basic data of 103 patients who underwent chest CT scanning, including gender, age, height, weight and underlying diseases, were prospectively collected, and the dose length product (DLP) of each patient was recorded, Multivariate regression analysis was made on the obtained data. Results Under the same scanning parameters, image quality had no significant effect on chest CT radiation dose (P = 0.404 > 0.05); among the 103 cases, there were 20 kinds of basic diseases, only calcified lesion has a significant effect on chest CT radiation dose (P = 0.009 < 0.05), the other had no significant effects (P > 0.05); the major effect individual factors of radiation dose in CT scan were: gender (P = 0.000003 < 0.05), age (P = 0.016 < 0.05), height (P = 0.000021 < 0.05), weight (P = 4.30E-16 < 0.05). Age (P = 8.08E-8 < 0.05) and weight (P = 5.52E-21 < 0.05) were the only decisive factors in multiple regression analysis, while other influencing factors were not decisive (P > 0.05). The regression model was as follows: DLP=-39.45 + 2.19*age + 5.54*weight, the coefficient of multiple correlation R being 0.786, F(2,100) = 77.128, P < 0.01. Mean that gradually increase in age was related with 2.19 mGy∙cm increase in the DLP value, 1 kg increase in weight was associated with 5.54 mGy∙cm increase in the DLP value. Conclusion For chest CT, age and weight are the major impact individual factors of radiation dose. This model has shown obvious clinical significance and can provide solid theoretical basis for clinical application in reducing the radiation dose in chest CT.

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.

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