<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ACT</journal-id><journal-title-group><journal-title>Advances in Computed Tomography</journal-title></journal-title-group><issn pub-type="epub">2169-2475</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/act.2021.102002</article-id><article-id pub-id-type="publisher-id">ACT-112284</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  High Resolution Computed Tomography Features of Third Wave of COVID-19 Pneumonia in Confirmed Cases
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdul</surname><given-names>Malik Hayat</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shahzad</surname><given-names>Karim Bhatti</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Radiology, King Edward Medical University, Lahore, Pakistan</addr-line></aff><aff id="aff1"><addr-line>Department of Radiology, Sir Ganga Ram Hospital, Lahore, Pakistan</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>06</month><year>2021</year></pub-date><volume>10</volume><issue>02</issue><fpage>11</fpage><lpage>17</lpage><history><date date-type="received"><day>9,</day>	<month>May</month>	<year>2021</year></date><date date-type="rev-recd"><day>27,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>30,</day>	<month>June</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  COVID-19 which is caused by its new type called SARS-CoV-2 is a viral disease predominantly involving the lungs. 
  <b>Objective:</b> To investigate HRCT features of pulmonary disease in COVID-19 in Lahore, Pakistan. 
  <b>Methods:</b> This is a prospective study that involved 127 COVID-19 positive patients (age 18 - 80 years, both genders) through non-probability sampling was conducted at the Radiology Department, Sir Ganga Ram Hospital, Lahore, in 2021. All patients with RT-PCR positive underwent HRCT chest. All findings in HRCT chest were assessed. Confirmed patients had positive HRCT. Excluded situations are low quality of images irrespective of its reason, HRCT indications other than COVID-19 pneumonia, and patients who do not want to participate in the study 
  <b>Results:</b> Considering the exclusion and inclusion criteria, totally 127 COVID-19 confirmed patients ranging age from 18 to 80 years with a mean age of 52 &#177; 18 years, took part in this study. The most important and common HRCT finding was the multilobar ground-glass pattern which was present in 95% of patients. Other findings including, crazy paving pattern, consolidation, air bronchogram, and bronchiectasis were present in 8.7%, 82%, 63%, and 37% of patients respectively. Pleural effusion seen in 21% patients. 16% of patients had mediastinal lymphadenopathy. 
  <b>Conclusion:</b> In our study, the ground-glass pattern was found to be the most common and important HRCT finding in patients confirmed with COVID-19 pneumonia. This important HRCT pattern is mostly found to be in posterobasal and peripheral subpleural locations. Other than ground-glass pattern, bronchiectasis, and consolidation having the air bronchogram were also reported commonly.
 
</p></abstract><kwd-group><kwd>High Resolution Computed Tomography (HRCT)</kwd><kwd> COVID-19</kwd><kwd> Ground-Glass Pattern</kwd><kwd> Third Wave</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Covid-19 which is caused by SARS-CoV-2 erupted for the first time in Wuhan city of China in Dec, 2019 [<xref ref-type="bibr" rid="scirp.112284-ref1">1</xref>] . This virus mainly affects the lungs, resulting in mild to severe pneumonia which took the lives of millions of people around the world. Coronavirus has different variants including the newly identified UK variant (B.1.1.7) in December 2020 [<xref ref-type="bibr" rid="scirp.112284-ref2">2</xref>] . Since then other new variants have also appeared in other locations around the world. In Pakistan it was first isolated in Feb 2021, which has caused severe pneumonia in comparison with the previous strain.</p><p>However the Real-time polymerase chain reaction (RT-PCR) is considered the gold standard for the diagnosis of COVID-19, there are some limitations to this lab test as well, which include, probability of false negativity [<xref ref-type="bibr" rid="scirp.112284-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref4">4</xref>] , it is time-consuming and not readily available, as well as low sensitivity of about 60% - 71% [<xref ref-type="bibr" rid="scirp.112284-ref5">5</xref>] . HRCT (high-resolution CT) has a crucial role in the diagnosis of COVID-19 pneumonia with a sensitivity of up to 98% [<xref ref-type="bibr" rid="scirp.112284-ref6">6</xref>] , particularly in cases with negative PCR or asymptomatic patients. HRCT is also useful in the assessment of the degree of damage [<xref ref-type="bibr" rid="scirp.112284-ref7">7</xref>] and monitoring the progression of the disease process.</p><p>Despite a wide variety of HRCT findings of COVID-19 pneumonia including crazy paving pattern, reversible halo sign, reticular pattern, airway changes [<xref ref-type="bibr" rid="scirp.112284-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref10">10</xref>] , ground-glass opacity (GGO) with posterior and peripheral distribution [<xref ref-type="bibr" rid="scirp.112284-ref11">11</xref>] was found to be the hallmark. This is also confirmed by the recent study performed by Omar et al. [<xref ref-type="bibr" rid="scirp.112284-ref5">5</xref>] .</p><p>After a review of the role of imaging in COVID-19 in recent studies, our objective is to study the HRCT features of COVID-19 pneumonia.</p></sec><sec id="s2"><title>2. Methods</title><p>This prospective study which includes 127 COVID-19 positive patients (age 18 - 80 years, both genders) was conducted at Radiology Department of Sir Ganga Ram Hospital, Lahore in 2021 after clearance of local ethical review board.</p><p>Confirmed patients with brief clinical history were referred to radiology department during a time period of March 15 to April 15, 2021 for taking HRCT. After taking informed consent from the patients or their attendants and excluding situations like the low quality of images irrespective of its reason, HRCT indications other than COVID-19 pneumonia and patients who do not want to participate in the study, HRCT chest images without IV contrast were obtained in supine position in end-inspiratory phase. The 4-slice TOSHIBA CT scan machine was used to take all images with 2 mm slice thickness using 120 KV and 300 mAs. Bone algorithm was used for reconstruction process. As CT machine was being used for COVID-19 patients. After each scan CT machine was disinfected with ethanol. Data is then transferred to the workstation for interpretation. All variables including continuous and discrete were described as medians/ranges, and counts/percentages respectively.</p></sec><sec id="s3"><title>3. Results</title><p>Considering the exclusion and inclusion criteria which were already mentioned in method section, totally 127 COVID-19 confirmed patients ranging age from 18 to 80 years with mean age of 52 &#177; 18 years, took part in this study. There were 74 male and 53 female patients with a male to female ratio of 1.2:1. Demographic and major clinical characteristic are stated in <xref ref-type="table" rid="table1">Table 1</xref>. All HRCTs were interpreted and various CT features in COVID-19 infection were assessed. The pattern of detected HRCT findings is described in <xref ref-type="table" rid="table2">Table 2</xref> and shown in Figures 1-5. Ground-glass haze was seen in all patients (100%) as shown in Figures 1-5. 119 patients (93.7%) revealed bilateral lung involvement as shown in Figures 1-3 and <xref ref-type="fig" rid="fig5">Figure 5</xref>. Only one patient had unilateral involvement (0.78%) as shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>. Postero-basal and peripheral subpleural distribution of ground-glass haze were observed in 121 (95.2%) and 115 (90.5%) patients respectively with subpleural predominance shown in <xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>. Multi-lobe involvement was present in 113 (88.9%) patients with basal predominance shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="fig" rid="fig3">Figure 3</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>. Upper lobe distribution, consolidation, air bronchogram, bronchiectasis, crazy paving pattern, pleural effusion and mediastinal lymphadenopathy were identified in 78 (61.4%), 104 (81.8%), 80 (63%), 46 (36.2%), 11 (8.6%), 127 (3.1%) and 19 (14.9%%) patients respectively. whereas septal thickening was</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic and major clinical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle" >Group</th><th align="center" valign="middle" >Number of patients (%)</th></tr></thead><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" >&#183; Male &#183; female</td><td align="center" valign="middle" >&#183; 74 (58.26%) &#183; 53 (42.51%)</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >&#183; 18 - 29 &#183; 30 - 39 &#183; 40 - 49 &#183; 50 - 59 &#183; &gt;60</td><td align="center" valign="middle" >&#183; 0 (0%) &#183; 2 (1.57%) &#183; 41 (32.28%) &#183; 56 (44.09%) &#183; 28 (22.04%)</td></tr><tr><td align="center" valign="middle" >Major Clinical data</td><td align="center" valign="middle" >&#183; Fever &#183; Dry cough &#183; Tiredness &#183; SOB</td><td align="center" valign="middle" >&#183; 127 (100%) &#183; 114 (89.76%) &#183; 127 (100%) &#183; 103 (81.10%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> HRCT features in confirmed patients of COVID-19 pneumonia</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >CT features</th><th align="center" valign="middle" >Number of cases (%)</th></tr></thead><tr><td align="center" valign="middle" >Ground-glass opacity</td><td align="center" valign="middle" >127 (100%)</td></tr><tr><td align="center" valign="middle" >Bilateral involvement</td><td align="center" valign="middle" >119 (93.7%)</td></tr><tr><td align="center" valign="middle" >Unilateral involvement</td><td align="center" valign="middle" >1 (0.78%)</td></tr><tr><td align="center" valign="middle" >Peripheral distribution</td><td align="center" valign="middle" >121 (95.2%)</td></tr><tr><td align="center" valign="middle" >Posterior distribution</td><td align="center" valign="middle" >115 (90.5%)</td></tr><tr><td align="center" valign="middle" >Multilobar and basal involvement</td><td align="center" valign="middle" >113 (88.9%)</td></tr><tr><td align="center" valign="middle" >Upper lobe involvement</td><td align="center" valign="middle" >78 (61.4%)</td></tr><tr><td align="center" valign="middle" >Consolidation</td><td align="center" valign="middle" >104 (81.8%)</td></tr><tr><td align="center" valign="middle" >Air bronchogram</td><td align="center" valign="middle" >80 (63%)</td></tr><tr><td align="center" valign="middle" >Bronchiectasis</td><td align="center" valign="middle" >46 (36.2%)</td></tr><tr><td align="center" valign="middle" >Crazy paving pattern</td><td align="center" valign="middle" >11 (8.6%</td></tr><tr><td align="center" valign="middle" >Pleural effusion</td><td align="center" valign="middle" >4 (3.1%)</td></tr><tr><td align="center" valign="middle" >Mediastinal lymphadenopathy</td><td align="center" valign="middle" >19 (14.9%)</td></tr><tr><td align="center" valign="middle" >Pulmonary nodule</td><td align="center" valign="middle" >2 (1.5%)</td></tr></tbody></table></table-wrap><p>appreciated in less than 20% of patients. Only two patients had pulmonary nodules. Consolidation with air bronchogram is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, however crazy paving is shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><p>Commonly observed HRCT findings are shown image vise above.</p></sec><sec id="s4"><title>4. Discussion</title><p>However, lots of studies conducted to evaluate findings of COVID-19 pneumonia in HRCT chest so far, particularly in the last year. We wanted to perform a study as well, in order to evaluate findings of disease during the third wave of COVID-19 in our population in 2021. Among 127 confirmed cases, the most common feature in all patients was found to be ground-glass opacification. Most of the hazes were observed bilaterally with typical posterior and peripheral distribution. Other typical manifestations were included consolidation having air bronchogram, bronchiectasis and crazy paving. Less common features were pleural effusion and septal thickening. Pulmonary nodules also presented as atypical features.</p><p>In comparison with our study, research conducted by Zhu et al. reported that ground-glass opacification was appreciated in only 47% of patients [<xref ref-type="bibr" rid="scirp.112284-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref13">13</xref>] . As well, we described that consolidation presented in 81.8% of patients, however Salehi et al. [<xref ref-type="bibr" rid="scirp.112284-ref14">14</xref>] who conducted research on 919 patients reported that only 31% of patients had consolidation and prevalence of Peripheral and bilateral involvement of lungs and ground-glass opacification were reported as of (95.2% vs 76%) and (100% vs 88%) respectively. Study done by Omer et al. [<xref ref-type="bibr" rid="scirp.112284-ref6">6</xref>] which is performed on 30 patients, showing that crazy paving as compared to our study was found in 13.3% of cases. Mediastinal lymphadenopathy was not a common finding in our study.</p><p>A study by Bai et al. reported that 59% confirmed patients had increased calibre of pulmonary vessels at subsegmental level [<xref ref-type="bibr" rid="scirp.112284-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref16">16</xref>] . This unusual finding was also reported by Albarello et al. in only 2 patients [<xref ref-type="bibr" rid="scirp.112284-ref17">17</xref>] . However, we did not report any subsegmental pulmonary vessel dilatation in any of our patients. Although the inflammatory changes have been shown to be the cause of pulmonary vessel dilatation [<xref ref-type="bibr" rid="scirp.112284-ref18">18</xref>] , variable studies attribute hyperemia caused by COVID-19 as compared to other viral pulmonary diseases [<xref ref-type="bibr" rid="scirp.112284-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.112284-ref21">21</xref>] .</p><p>Despite constant referral of COVID-19 confirmed patients, there were few limitations too, including small sample size, follow up and almost lack of pediatric cases as well as no histopathologic correlation.</p></sec><sec id="s5"><title>5. Conclusion</title><p>HRCT chest plays an important role in the diagnosis of COVID-19 pneumonia initially and can help in the proper assessment of the severity of the infectious process. In our study, the ground-glass haze was found to be the most common findings in all patients. Most of the hazes were observed bilaterally with the typical posterior and peripheral subpleural distribution involving multiple lobes, predominantly basal. Consolidation associated with air bronchogram and bronchiectasis was also found commonly.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Hayat, A.M. and Bhatti, S.K. (2021) High Resolution Computed Tomography Features of Third Wave of COVID-19 Pneumonia in Confirmed Cases. Advances in Computed Tomography, 10, 11-17. https://doi.org/10.4236/act.2021.102002</p></sec></body><back><ref-list><title>References</title><ref id="scirp.112284-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Zhu, N., Zhang, D., Wang, W., et al. (2020) A Novel Coronavirus from Patients with Pneumonia in China, 2019. 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