Literature DB >> 32223665

Timely Diagnosis and Treatment Shortens the Time to Resolution of Coronavirus Disease (COVID-19) Pneumonia and Lowers the Highest and Last CT Scores From Sequential Chest CT.

Guoquan Huang1,2, Tao Gong2, Guangbin Wang2, Jianwen Wang1, Xinfu Guo3, Erpeng Cai1, Shirong Li4, Xiaohu Li5, Yongqiang Yu5, Liangjie Lin6.   

Abstract

OBJECTIVE. This study aims to assess correlations of the time from symptom onset to diagnosis and treatment with the time to disease resolution and CT scores as based on findings from sequential chest CT examinations. MATERIALS AND METHODS. Thirty patients with coronavirus disease (COVID-19) confirmed by reverse transcription-polymerase chain reaction analysis underwent chest CT examinations. Five patients who did not have positive CT findings or who had not yet fulfilled criteria for discharge from the hospital were excluded. CT scores were determined according to CT findings and lung involvement. The time from symptom onset to diagnosis and treatment was recorded for each patient, and on the basis of this information, patients with COVID-19 were divided into group 1 (patients for whom this interval was ≤ 3 days) and group 2 (those for whom this interval was > 3 days). The CT scores for each group were fitted using a Lorentzian line-shape curve to show the variation tendency during treatment. The differences in age, sex, and last CT scores determined before discharge between the two groups were analyzed, and correlations of the time from symptom onset to diagnosis and treatment with the time to disease resolution as well as with the highest CT score also underwent statistical analysis. RESULTS. A total of 25 subjects were enrolled in the study. The fitted tendency curves for group 1 and group 2 were significantly different, with peak points showing that the estimated highest CT score was 10 and 16 for each group, respectively, and the time to disease resolution was 6 and 13 days, respectively. The Mann-Whitney test showed that the last CT scores were lower for group 1 than for group 2 (p = 0.025), although the chi-square test found no difference in age and sex between the groups. The time from symptom onset to diagnosis and treatment had a positive correlation with the time to disease resolution (r = 0.93; p = 0.000) as well as with the highest CT score (r = 0.83; p = 0.006). CONCLUSION. Timely diagnosis and treatment are key to providing a better prognosis for patients with COVID-19.

Entities:  

Keywords:  COVID-19; CT; coronavirus disease; pneumonia; time to diagnosis and treatment; time to disease resolution

Mesh:

Year:  2020        PMID: 32223665     DOI: 10.2214/AJR.20.23078

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  36 in total

1.  COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging.

Authors:  Naciye Sinem Gezer; Begüm Ergan; Mustafa Mahmut Barış; Özgür Appak; Ayça Arzu Sayıner; Pınar Balcı; Ziya Kuruüzüm; Sema Alp Çavuş; Oğuz Kılınç
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

2.  Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients.

Authors:  Camilla Risoli; Marco Nicolò; Davide Colombi; Marco Moia; Fausto Rapacioli; Pietro Anselmi; Emanuele Michieletti; Roberta Ambrosini; Marco Di Terlizzi; Luigi Grazioli; Cristian Colmo; Angelo Di Naro; Matteo Pio Natale; Alessandro Tombolesi; Altin Adraman; Domenico Tuttolomondo; Cosimo Costantino; Elisa Vetti; Chiara Martini
Journal:  Diagnostics (Basel)       Date:  2022-06-20

3.  Visual and software-based quantitative chest CT assessment of COVID-19: correlation with clinical findings.

Authors:  Gamze Durhan; Selin Ardalı Düzgün; Figen Başaran Demirkazık; İlim Irmak; İlkay İdilman; Meltem Gülsün Akpınar; Erhan Akpınar; Serpil Öcal; Gülçin Telli; Arzu Topeli; Orhan Macit Arıyürek
Journal:  Diagn Interv Radiol       Date:  2020-11       Impact factor: 2.630

4.  Health Care Access Among Essential Critical Infrastructure Workers, 31 States, 2017-2018.

Authors:  Winifred L Boal; Jia Li; Sharon R Silver
Journal:  Public Health Rep       Date:  2021-03-09       Impact factor: 2.792

5.  Evaluation of AI-Based Segmentation Tools for COVID-19 Lung Lesions on Conventional and Ultra-low Dose CT Scans.

Authors:  Marco Aiello; Dario Baldi; Giuseppina Esposito; Marika Valentino; Marco Randon; Marco Salvatore; Carlo Cavaliere
Journal:  Dose Response       Date:  2022-04-06       Impact factor: 2.658

Review 6.  Organ-specific manifestations of COVID-19 infection.

Authors:  Maria Gavriatopoulou; Eleni Korompoki; Despina Fotiou; Ioannis Ntanasis-Stathopoulos; Theodora Psaltopoulou; Efstathios Kastritis; Evangelos Terpos; Meletios A Dimopoulos
Journal:  Clin Exp Med       Date:  2020-07-27       Impact factor: 3.984

7.  [Early differential diagnosis between COVID-19 and mycoplasma pneumonia with chest CT scan].

Authors:  Xianluo Huo; Xiaohua Xue; Shuhui Yuan; Dianchun Zhang; Qing'e Gao; Tao Gong
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2020-08-25

8.  Effectiveness of Cone Beam Computed Tomography Imaging During Radiation Therapy for the Detection of Initial Coronavirus Lung Disease 2019.

Authors:  Matteo Sepulcri; Chiara Paronetto; Badr El Khouzai; Alessandro Novo; Vittoria Aldegheri; Alessandro Scaggion; Marco Fusella
Journal:  Adv Radiat Oncol       Date:  2020-05-08

9.  Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis.

Authors:  Hyungjin Kim; Hyunsook Hong; Soon Ho Yoon
Journal:  Radiology       Date:  2020-04-17       Impact factor: 11.105

10.  A novel use for routine CBCT imaging during radiotherapy to detect COVID-19.

Authors:  A Clough; J Sanders; K Banfill; C Faivre-Finn; G Price; C L Eccles; M C Aznar; M Van Herk
Journal:  Radiography (Lond)       Date:  2021-07-23
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