Background RSNA COVID-19 chest CT consensus guidelines are widely used, but their true positive rate for COVID-19 pneumonia has not been assessed among vaccinated patients. Purpose To assess true positive rate of RSNA typical chest CT findings of COVID-19 among fully vaccinated subjects with PCR-confirmed COVID-19 infection compared with unvaccinated subjects. Materials and Methods Patients with COVID Typical chest CT findings and one positive or two negative PCR tests for COVID-19 within 7 days of their chest CT between January 2021 - January 2022 at a quaternary academic medical center were included. True positives were defined as chest CTs interpreted as COVID Typical and PCR-confirmed COVID-19 infection within 7 days. Logistic regression models were constructed to quantify the association between PCR results and vaccination status, vaccination status and COVID-19 variants, and vaccination status and months. Results 652 subjects (median age 59, [IQR, 48-72]); 371 [57%] men) with CT scans classified as COVID Typical were included. 483 (74%) were unvaccinated and 169 (26%) were fully vaccinated. The overall true positive rate of COVID Typical CTs was lower among vaccinated versus unvaccinated (70/169 [41%; 95% CI: 34, 49%] vs 352/483 [73%; 69, 77%]; OR (95% CI): 3.8 (2.6, 5.5); P < .001). Unvaccinated subjects were more likely to have true positive CTs compared with fully vaccinated subjects during the peaks of COVID-19 variants Alpha (OR, 16 [95% CI: 6.1, 42]; P < .001) and Delta (OR, 8.3 [95% CI: 4.2, 16]; P < .001), but no statistical differences were found during the peak of Omicron variant (OR, 1.7 [95% CI: 0.27, 11]; P = .56) Conclusion Fully vaccinated subjects with confirmed COVID-19 breakthrough infections had lower true positive rates of COVID Typical chest CT findings.
Background RSNA COVID-19 chest CT consensus guidelines are widely used, but their true positive rate for COVID-19 pneumonia has not been assessed among vaccinated patients. Purpose To assess true positive rate of RSNA typical chest CT findings of COVID-19 among fully vaccinated subjects with PCR-confirmed COVID-19 infection compared with unvaccinated subjects. Materials and Methods Patients with COVID Typical chest CT findings and one positive or two negative PCR tests for COVID-19 within 7 days of their chest CT between January 2021 - January 2022 at a quaternary academic medical center were included. True positives were defined as chest CTs interpreted as COVID Typical and PCR-confirmed COVID-19 infection within 7 days. Logistic regression models were constructed to quantify the association between PCR results and vaccination status, vaccination status and COVID-19 variants, and vaccination status and months. Results 652 subjects (median age 59, [IQR, 48-72]); 371 [57%] men) with CT scans classified as COVID Typical were included. 483 (74%) were unvaccinated and 169 (26%) were fully vaccinated. The overall true positive rate of COVID Typical CTs was lower among vaccinated versus unvaccinated (70/169 [41%; 95% CI: 34, 49%] vs 352/483 [73%; 69, 77%]; OR (95% CI): 3.8 (2.6, 5.5); P < .001). Unvaccinated subjects were more likely to have true positive CTs compared with fully vaccinated subjects during the peaks of COVID-19 variants Alpha (OR, 16 [95% CI: 6.1, 42]; P < .001) and Delta (OR, 8.3 [95% CI: 4.2, 16]; P < .001), but no statistical differences were found during the peak of Omicron variant (OR, 1.7 [95% CI: 0.27, 11]; P = .56) Conclusion Fully vaccinated subjects with confirmed COVID-19 breakthrough infections had lower true positive rates of COVID Typical chest CT findings.
The true-positive rate of RSNA COVID-19 typical chest CT scans for PCR-confirmed
COVID-19 infection was lower among vaccinated subjects compared with
unvaccinated subjects except during periods of COVID-19 peaks.■ In this retrospective study, true-positive rates of RSNA
COVID-19 typical chest CT scans in 652 subjects were lower among fully
vaccinated versus unvaccinated (41% vs 73%; P <
.001).■ Unvaccinated subjects were more likely than vaccinated subjects
to have true-positive CT scans during peaks of Alpha (OR, 16;
P < .001) and Delta (OR, 8.3;
P < .001) variants.
Introduction
The COVID-19 pandemic continues to cause substantial morbidity and mortality
worldwide despite the development of vaccines proven to be effective in reducing the
risk of severe illness. This is in part due to heterogeneity of vaccination in the
general population, waning vaccine immunity leading to breakthrough infections, and
the rise of highly contagious variants of concern (VOC) such as Delta and
Omicron.[1-5]Nucleic acid amplification testing with the reverse transcription polymerase chain
reaction (RT- PCR) has been the reference standard for detecting COVID-19 infections
due to the high sensitivity and specificity. However, false negative rates have been
reported from <5% to 40% depending on test type and specimen
quality.[6,7] Radiology has played a central role in the pandemic,
particularly chest CT, which has been used in diagnosis, triage, and outcomes
assessment of patients presenting with COVID-19 pneumonia.[8] To aid in these efforts, the Radiological Society of
North America (RSNA) released consensus guidelines to standardize reporting of chest
CT findings related to COVID-19 pneumonia among patients with suspected or confirmed
COVID-19 infection.[9] These
guidelines classify chest CT findings of COVID- 19 pneumonia into four categories
and have been widely adopted across radiology practices worldwide.[8]The RSNA guidelines were developed before COVID-19 tests and vaccines were widely
available. Since 2021, COVID-19 test results are often available before the
radiologists interpret the CT. Our institution continues to use the RSNA COVID-19
classification system in patients with and without COVID-19 PCR results for triage
and placement of potential COVID patients to prevent spread of the virus in the
hospital setting. Although chest CTs remain a key component in the evaluation of
patients to detect occult COVID infections given the false negative rate of PCR, the
applicability of chest CT scan utilization and reporting guidelines among an
increasingly vaccinated population has not been well characterized. Therefore, the
purpose of this study was to assess whether vaccination influences the true positive
rate of CT in diagnosis of COVID-19 pneumonia by evaluating the performance of RSNA
COVID-19 Typical CT findings among patients with RT-PCR-confirmed COVID-19
infection.
Materials and Methods
Study setting
This HIPAA-compliant retrospective cohort study performed at a large, quaternary
academic medical center was approved by the Institutional Review Board with a
waiver of informed consent.
Study cohort
The institutional electronic database was queried for chest CT examinations
performed between January 2021 and January 2022 that contained the
classification of RSNA Typical Chest CT findings for COVID-19 pneumonia (COVID
Typical) included in the radiology report. All COVID Typical results were
identified through an institutional decision support reporting tool utilizing
the RSNA COVID-19 consensus guidelines. This tool was used to standardize
reporting of chest CT findings, assist in triage of patients with confirmed or
suspected COVID-19 infection, and label each scan using one of four RSNA
categories: Negative, Atypical, Indeterminate, and Typical.Study inclusion criteria included: Patients with COVID Typical chest CT findings,
as identified using the decision support reporting tool, and one positive or two
negative PCR tests for COVID-19 within 7 days of their chest CT. For subjects
who had two COVID Typical chest CTs from separate clinical encounters, only the
earliest encounter was considered. Patients with only one negative test or no
PCR test result for COVID-19 within 7 days of their CT and subjects with
COVID-19 Typical on non-chest CT studies (i.e., abdominal CT) were excluded.
Data sources and independent variables
Demographic data, medical comorbidities, oxygen requirement (i.e., supplemental
oxygen use, no supplemental oxygen use, and intubation), and clinical status
(i.e., hospitalization, intensive care unit admission, emergency department
visit, outpatient visit, and deceased status at time of analysis) were extracted
from the electronic medical record (EMR; Epic Hyperspace, November 2021; Epic
Systems Corporation). The following comorbidities were included based on CDC
classification as risk factors for severe COVID-19: cancer history, chronic
kidney disease, chronic obstructive pulmonary disease, diabetes, obesity, heart
conditions (e.g., heart failure, arrhythmias, hypertension), and
immunocompromised status.[10,11]
Vaccination status and presenting symptoms
Documented vaccination status was obtained through EMR review. Subjects were
considered fully vaccinated if they were ≥14 days from a second mRNA-1273
(Moderna), BNT162b2 (Pfizer-BioNTech), or single Janssen (Johnson and Johnson)
vaccine dose. Subjects were considered fully boosted if they were ≥14
days after their booster.Reported symptoms up to a week before subjects’ presentations were
obtained through EMR review. The most common presenting symptoms associated with
COVID-19 included cough, shortness of breath, fatigue, chills, chest pain,
gastrointestinal complaints, myalgias, cognitive change, and fever.[12]
COVID-19 status and true positives
Through EMR chart review, COVID-19 status was defined as having one positive
(COVID positive infection) or two negative (COVID negative infection) RT-PCR
tests for COVID-19 within 7 days of having a COVID Typical chest CT report. True
positive CT scans were defined as COVID-19 PCR-positive scans with a COVID
Typical chest CT report.
VOC Dominance
A VOC was considered dominant during a period when it represented >50% of all
sequenced COVID-19 strains in Massachusetts. The VOCs (date ranges) include:
Alpha (January 1, 2021 – July 2, 2021), Delta (July 3, 2021 –
December 24, 2021), and Omicron (December 25, 2021 – Present).
Statistical analyses and power calculation
A random sample of eligible subjects was used for analysis. Given the previously
reported institutional true positive rate of 85% among unvaccinated subjects,
400 unvaccinated and 200 vaccinated subjects were needed to detect at least a
10% decrease in the true positive rate between vaccination status groups when
using a one-sided two-sample test of proportions, type-I error (α) of
.05, and power (1-β) of .9.[8]Descriptive summaries were computed for the entire sample. Continuous variables
were summarized as the median and IQR (interquartile range) and categorical
variables as frequencies (percent). Differences in the distributions of
categorical/continuous variables by vaccination status were assessed using
either the Chi-square/Fisher's exact test or the Wilcoxon test,
respectively. Three logistic regression models were constructed to quantify the
association between RT-PCR results and: 1) vaccination status, 2) vaccination
status and the VOC peak at CT assessment, and 3) vaccination status and calendar
month. We considered accounting for subject age, but after adjusting for VOC
peak, the inclusion of age did not significantly improve the model fit and was
omitted. A second definition of vaccination status and VOC peak was utilized to
investigate the effect of timings of CT imaging and vaccination relative to VOC
peak. Among vaccinated subjects, we recoded VOC peak to include the VOC at times
of CT imaging and vaccination (e.g.,
Alpha Alpha
denotes the subgroup that both received the vaccine and obtained a chest CT
during the Alpha VOC). For all models, linear combinations of parameter
estimates were computed to summarize true positive rates by vaccination status
(percent, 95% confidence intervals [CI]) and time period (i.e., overall, VOC
peak, calendar month) as well as vaccination status comparisons (odds ratios
[OR], 95% CIs, p-values). All analyses were performed using R (version 4.2.0; R
Foundation for Statistical Computing).
Results
Cohort characteristics
The initial database query resulted in 2069 results, of which 652 met inclusion
criteria (Figure 1) with COVID Typical
Chest CT findings (Figure 2). The median
subject age was 59 years (IQR, 48–72); 57% (371/652) were men, 65%
(422/652) were COVID-19 positive by RT-PCR, and 26% (169/652) were fully
vaccinated against COVID-19 with a median time from vaccination to COVID Typical
CT of 119 (IQR, 55–193 days) (Table
1). The most common presenting symptom (Table 1) was shortness of breath (72% [469/652]) and the
most common comorbidity was hypertension (56% [364/652]). Most subjects were
hospitalized (58% [377/652]) and used supplemental oxygen (60% [389/652]; Table 1).
Figure 1:
Flow chart of the study. PCR = polymerase chain reaction, RSNA =
Radiological Society of North America.
Figure 2:
At the time of interpretation, all chest CT scans in this figure were
classified as RSNA COVID- 19 Typical based on the RSNA consensus
guidelines for classification of COVID-19 pneumonia. (A):
Left: An axial chest CT pulmonary angiogram with contrast showing lung
window of an unvaccinated 53- year-old male subject with a past medical
history of hypertension and no smoking history at initial presentation
during a period of COVID-19 Alpha variant predominance (February 2021).
Right: An axial chest CT pulmonary angiogram with contrast showing lung
window of a fully vaccinated 74-year-old female subject with a past
medical history of hypertension, supraventricular tachycardia, and no
smoking history at initial presentation during a period COVID-19 Alpha
variant predominance (March 2021). (B): Left: An axial
chest CT pulmonary angiogram with contrast showing lung window of an
unvaccinated 43- year-old female subject with a past medical history of
active smoking and obesity at initial presentation during a period of
COVID-19 Delta variant predominance (August 2021). Right: An axial chest
CT pulmonary angiogram of a fully vaccinated 80-year-old male subject
with a past medical history of hypertension, type 2 diabetes, and
nonsustained ventricular tachycardia at initial presentation during a
period of COVID-19 Delta variant predominance (September 2021).
(C): Left: An axial chest CT pulmonary angiogram with
contrast showing lung window of an unvaccinated 58-year-old male subject
with a past medical history of active smoking, type 2 diabetes, obesity,
heart failure with reduced ejection fraction, and stage 5 chronic kidney
disease at initial presentation during a period of COVID-19 Omicron
variant predominance (January 2022). Right: An axial CT chest without
contrast of a fully vaccinated 80- year-old male with a past medical
history of heart transplant, stage 4 chronic kidney disease,
hypertension, chronic obstructive pulmonary disease, and complete heart
block status post permanent pacemaker at initial presentation during a
period of COVID-19 Omicron variant predominance (January 2022).
Table 1:
Characteristics of Subjects with COVID-19 Typical CT Findings
Flow chart of the study. PCR = polymerase chain reaction, RSNA =
Radiological Society of North America.At the time of interpretation, all chest CT scans in this figure were
classified as RSNA COVID- 19 Typical based on the RSNA consensus
guidelines for classification of COVID-19 pneumonia. (A):
Left: An axial chest CT pulmonary angiogram with contrast showing lung
window of an unvaccinated 53- year-old male subject with a past medical
history of hypertension and no smoking history at initial presentation
during a period of COVID-19 Alpha variant predominance (February 2021).
Right: An axial chest CT pulmonary angiogram with contrast showing lung
window of a fully vaccinated 74-year-old female subject with a past
medical history of hypertension, supraventricular tachycardia, and no
smoking history at initial presentation during a period COVID-19 Alpha
variant predominance (March 2021). (B): Left: An axial
chest CT pulmonary angiogram with contrast showing lung window of an
unvaccinated 43- year-old female subject with a past medical history of
active smoking and obesity at initial presentation during a period of
COVID-19 Delta variant predominance (August 2021). Right: An axial chest
CT pulmonary angiogram of a fully vaccinated 80-year-old male subject
with a past medical history of hypertension, type 2 diabetes, and
nonsustained ventricular tachycardia at initial presentation during a
period of COVID-19 Delta variant predominance (September 2021).
(C): Left: An axial chest CT pulmonary angiogram with
contrast showing lung window of an unvaccinated 58-year-old male subject
with a past medical history of active smoking, type 2 diabetes, obesity,
heart failure with reduced ejection fraction, and stage 5 chronic kidney
disease at initial presentation during a period of COVID-19 Omicron
variant predominance (January 2022). Right: An axial CT chest without
contrast of a fully vaccinated 80- year-old male with a past medical
history of heart transplant, stage 4 chronic kidney disease,
hypertension, chronic obstructive pulmonary disease, and complete heart
block status post permanent pacemaker at initial presentation during a
period of COVID-19 Omicron variant predominance (January 2022).Characteristics of Subjects with COVID-19 Typical CT FindingsAmong fully vaccinated subjects, the majority were vaccinated with BNT162b2
(Pfizer-BioNTech) (62% [104/169]), while fewer were vaccinated with mRNA-1273
(Moderna) (25% [42/169]), and Janssen (Johnson & Johnson) (14% [23/169]).
Compared with unvaccinated subjects, fully vaccinated subjects were
significantly older (median age 69 years [IQR, 56–79] versus median age
56 years [IQR, 46–68]; P < .001), had higher
rates of supplemental oxygen use (67% [113/169] versus 57% [276/483];
P = .03), and higher hospitalization rates (68% [115/169]
versus 54% [262/483]; P = .002). Compared with unvaccinated
subjects, fully vaccinated subjects had significantly higher rates of many
comorbidities associated with COVID-19 disease severity[10,11] (Table E1).
Similarly, true positive fully vaccinated subjects compared with true positive
unvaccinated subjects retained higher rates of most of these comorbidities and
additionally were more likely to be immunocompromised (39% [27/70] versus 11%
[38/352]; P < .001; Table E2). Fully vaccinated subjects in the true positive group also
had longer time from vaccination to COVID-19 Typical CT scan (median 175 days
[IQR, 122–220]) compared with PCR-negative subjects (median 70 days [IQR,
40–150]; P < .001; Table 1). The most common final diagnoses of PCR-negative
subjects from clinical encounters corresponding to their COVID-19 Typical CTs
were pulmonary edema (23% [70/311]), interstitial lung disease (13% [40/311]),
and aspiration (13% [39/311]) (Figure
E1).
Table E1:
Fully Vaccinated vs Unvaccinated Subjects with RSNA COVID-19 Typical
CT Scans
Table E2:
Fully Vaccinated vs Unvaccinated Subjects with True-Positive COVID-19
CT Scans
Figure E1:
Alternative diagnoses in COVID-19 PCR-negative subjects with RSNA
COVID-19 Typical CT findings. Categories assigned based on
microbiological laboratory evidence included “Community
acquired pneumonia”, “Hospital acquired
pneumonia”, and “Viral or atypical pneumonia”.
Categories assigned based on clinical suspicion with or without
laboratory evidence included “Aspiration
pneumonia/pneumonitis”, “Unconfirmed/suspected
pneumonia”, “Post-COVID lung findings”,
“Pulmonary edema” and “Interstitial lung
disease”. PCR = polymerase chain reaction, RSNA =
Radiological Society of North America.
*The diagnoses in the “Other” category and
associated frequencies included bronchiectasis x2, lymphangitic
carcinomatosis x2, ANCA-associated vasculitis x2, diffuse alveolar
hemorrhage x2, hepatic hydrothorax x2, cytokine release syndrome x1,
pulmonary hemorrhage x1, loculated pleural effusion x1, pulmonary
lymphoma x1, and differentiation syndrome x1.
COVID-19 true positive subjects
Overall, the COVID Typical true positive rate (Table 2) was higher among unvaccinated subjects [73% (352/483)]
compared with fully vaccinated subjects [41% (70/169); OR: 3.8 (2.6, 5.5);
P < .001]. True positive rates also varied with new
VOC. Compared with fully vaccinated subjects, unvaccinated subjects had higher
true positive rates during Alpha variant predominance [67% (62, 72) versus 11%
(5,); OR: 16 (6.1, 42); P < .001] and Delta variant
predominance [88% (81, 93) versus 47% (38, 57); OR: 8.3 (4.2, 16);
P < .001], while differences in true positive rates
were not detected between vaccination status groups during Omicron variant
predominance [87% (60, 97) versus 79% (55, 92); OR: 1.7 (0.27, 11);
P = 0.56].
Table 2:
True-Positive Rate by Vaccination Status and by Vaccination Status and
Calendar Period/Month
True-Positive Rate by Vaccination Status and by Vaccination Status and
Calendar Period/MonthIn a monthly comparison of the true positive rate of COVID Typical chest CT
(Table 2), unvaccinated subjects
were significantly more likely to have true positive CT scans between April 2021
(OR, 20; 95% CI: 4.1, 94; P < .001) and July 2021 (OR,
11; 95% CI: 1.1, 106; P = .04). Between April 1, 2021 –
July 1, 2021, the vaccination rate in Massachusetts rose from 20% to 60%, while
COVID-19 cases decreased from 4750 to 61 cases between January 5 – July
1, 2021 (Figure 3 A-B). The months with
no significant differences in true positive rates between fully vaccinated and
unvaccinated subjects coincided with the rise of dominant VOC in August –
October 2021 (Delta), and January 2022 (Omicron; Table 2).
Figure 3:
(A): Monthly absolute number of fully vaccinated and
unvaccinated subjects with RSNA COVID-19 Typical CT scans between
January 1, 2021, and January 31, 2022. Grey line represents the
proportion of Massachusetts population fully vaccinated against
COVID-19, with line generated from datapoints corresponding to the first
day of each month.[29,30] The vaccination rates
used for February 2021 and January 2021 corresponded to February 3,
2021, and January 5, 2021, because data closer the first days of those
months were not available. (B): Proportion positive for
COVID-19 of fully vaccinated and unvaccinated subjects with RSNA
COVID-19 Typical CT scans between January 1, 2021, and January 31, 2022.
Grey line represents incident PCR-confirmed COVID-19 cases in
Massachusetts at the beginning of each month, with line generated using
7-day averages containing the first day of each month as proxies for
incident cases.[30] PCR
= polymerase chain reaction, RSNA = Radiological Society of North
America.
(A): Monthly absolute number of fully vaccinated and
unvaccinated subjects with RSNA COVID-19 Typical CT scans between
January 1, 2021, and January 31, 2022. Grey line represents the
proportion of Massachusetts population fully vaccinated against
COVID-19, with line generated from datapoints corresponding to the first
day of each month.[29,30] The vaccination rates
used for February 2021 and January 2021 corresponded to February 3,
2021, and January 5, 2021, because data closer the first days of those
months were not available. (B): Proportion positive for
COVID-19 of fully vaccinated and unvaccinated subjects with RSNA
COVID-19 Typical CT scans between January 1, 2021, and January 31, 2022.
Grey line represents incident PCR-confirmed COVID-19 cases in
Massachusetts at the beginning of each month, with line generated using
7-day averages containing the first day of each month as proxies for
incident cases.[30] PCR
= polymerase chain reaction, RSNA = Radiological Society of North
America.A secondary analysis explored the relationship between the true positive rate
based on predominant VOC and time from vaccination to true positive COVID
Typical CT (Figure 3). The odds of having
a true positive chest CT during Delta predominance in unvaccinated subjects was
higher than in subjects who were either vaccinated during the period of Delta
predominance (OR 22, 95% CI: 7.6, 66) or vaccinated during Alpha predominance
(OR, 6.4; 95% CI: 3.2, 13). Fully vaccinated subjects who were vaccinated during
the period of Alpha predominance were more likely to have true positive CT scans
when imaged during a period of Delta predominance (OR, 9; 95% CI: 3.2, 25) or
Omicron predominance (OR, 39; 95% CI: 3.8, 405; estimated from values in Table 3) when compared with those who
were also imaged during Alpha predominance.
Table 3:
True-Positive Rate by Vaccination Status and Dominant COVID-19 Variant of
Concern (VOC) Identified in Massachusetts and by Time from Vaccination
to CT
True-Positive Rate by Vaccination Status and Dominant COVID-19 Variant of
Concern (VOC) Identified in Massachusetts and by Time from Vaccination
to CTExploratory analyses of true positive rates stratifying by booster status in
November 2021 – January 2022 was performed (Table E3). Unvaccinated subjects were more likely to have
true positive CT scans compared with fully vaccinated subjects in November (OR,
6.8; 95% CI: 1.1, 43; P = .043) and December (OR, 13; 95% CI:
2.3, 69; P = .003), and even more likely to have true positive
CT scans compared with fully boosted subjects during November (OR, 95; 95% CI:
7.7, 1180; P < .001) and December (fully boosted 0 of 6
[0%; 95% CI: 0%, 39%]).
Table E3:
True-Positive Rate by Booster Status and Calendar Month
Discussion
The RSNA consensus guidelines, adopted by many institutions, have provided a
standardized framework for interpreting and reporting CT findings associated with
COVID-19 pneumonia.[8,9] This study showed that among an
increasingly vaccinated population, these guidelines continue to provide valuable
information for triage and disposition of patients being evaluated for suspected or
confirmed COVID-19 infections, as unvaccinated subjects had a higher overall true
positive rate of COVID Typical Chest CTs compared with fully vaccinated subjects
(352/483 [73%; 69, 77%] versus 70/169 [41%; 95% CI: 34, 49%]; OR (95% CI): 3.8 (2.6,
5.5), P < .001). Additionally, the overall true positive rate of 65% among
all subjects with RSNA COVID Typical CT during the study period at our institution
represents a substantial decrease from the true positive rate of 85% during the
initial peak of the pandemic in 2020, likely due to the decrease in disease severity
among the vaccinated.[8]Breakthrough infections among vaccinated patients have been reported to have distinct
imaging characteristics compared with those of unvaccinated patients, including
higher rates of CTs negative for pneumonia or with mild severity scores.[17-19] In one study, the majority of subjects were
immunosuppressed and all but one subject with immunosuppression (80%) had
abnormalities on imaging.[18] Our
study was concordant with previous literature, showing that fully vaccinated
subjects were less likely to have true positive COVID Typical Chest CT and more
likely to be immunocompromised compared with true positive unvaccinated
subjects.[18,20] The increasing vaccination rates
and evolving data may result in a decreasing proportion of patients presenting with
true positive COVID Typical Chest CTs and may result in an update in RSNA COVID-19
reporting guidelines.True positive rates, like positive predictive values, are influenced by disease
prevalence in the population and are expected to fluctuate with factors that
decrease or increase COVID-19 prevalence, such as vaccination rates or increased
transmissibility of COVID variants.[21,22] For example, the
Delta variant arose as the dominant-state VOC in mid-2021 and was more transmissible
than Alpha.[4] This rise in the Delta
VOC coincided with the increasing true positive rate among fully vaccinated subjects
between July and September 2021.[13]
Omicron became the dominant-state VOC on December 25, 2021, and its mutations caused
increased transmissibility, leading to more breakthrough cases among vaccinated
patients.[14-16] This may explain why there was no
difference in the likelihood of true positive Typical Chest CT between fully
vaccinated and unvaccinated subjects during January 2022.The monthly true positive rate among fully vaccinated subjects was likely influenced
by the time from vaccination, with true positive fully vaccinated subjects having
longer time from vaccination to CT scan compared with fully vaccinated subjects with
COVID Typical CTs and negative PCR. The subjects in this study were more likely to
have true positive CTs with longer intervals between vaccination and CT, suggesting
an attenuation in vaccine effectiveness with time. Recent studies have shown that
the effect of time from receipt of vaccination and booster was noted to be
particularly striking with Omicron, with vaccine efficacy against symptomatic
disease after two doses of BNT162b2 reported to be 65% at 2–4 weeks
post-vaccine, dropping to 9% after 25 or more weeks; similar waning immunity has
been seen with other vaccine and VOC types.[23-25] This study also
showed that unvaccinated subjects were even more likely to have a true positive scan
compared with fully vaccinated subjects who received a booster, thus underscoring
the role of vaccine boosters in COVID-19 severity.[26-28]This study has several limitations. Although prior studies have shown concordance
among radiologists interpreting chest CTs using the RSNA guidelines, this study is
limited by the lack of a formal over-read of the included studies.[8] COVID-19 variant information was not
available at the patient level, limiting our ability to assess the contribution of
different VOC to the observed true positive rates. The greater availability and
quicker processing of COVID PCR tests may have influenced interpretation, but this
was not captured in the study. The decreased severity of breakthrough infections
noted in recent literature may have influenced the true positive rate.[17-19]In summary, the overall true positive rate of COVID Typical chest CTs was lower in
fully vaccinated subjects compared with unvaccinated subjects. Our study and
previous literature have shown that several mechanisms likely contribute to the
lower true positive rate observed among fully vaccinated subjects, including
proportion of population vaccinated. Thus, the utility of CT in detecting COVID-19
pneumonia among a vaccinated population should be considered in this context. While
fully vaccinated subjects with confirmed COVID-19 infections had significantly lower
true positive rates of COVID Typical chest CT findings in the study, Chest CT and
the RSNA consensus guidelines maintain a key role in assisting radiologists and
referring clinicians in the triage and evaluation of patients with suspected or
confirmed COVID-19 infection among an increasingly vaccinated patient
population.
Authors: Emma K Accorsi; Amadea Britton; Nong Shang; Katherine E Fleming-Dutra; Ruth Link-Gelles; Zachary R Smith; Gordana Derado; Joseph Miller; Stephanie J Schrag; Jennifer R Verani Journal: N Engl J Med Date: 2022-05-25 Impact factor: 176.079
Authors: Emma K Accorsi; Amadea Britton; Katherine E Fleming-Dutra; Zachary R Smith; Nong Shang; Gordana Derado; Joseph Miller; Stephanie J Schrag; Jennifer R Verani Journal: JAMA Date: 2022-02-15 Impact factor: 157.335
Authors: Scott Simpson; Fernando U Kay; Suhny Abbara; Sanjeev Bhalla; Jonathan H Chung; Michael Chung; Travis S Henry; Jeffrey P Kanne; Seth Kligerman; Jane P Ko; Harold Litt Journal: Radiol Cardiothorac Imaging Date: 2020-03-25
Authors: Lindsey R Baden; Hana M El Sahly; Brandon Essink; Karen Kotloff; Sharon Frey; Rick Novak; David Diemert; Stephen A Spector; Nadine Rouphael; C Buddy Creech; John McGettigan; Shishir Khetan; Nathan Segall; Joel Solis; Adam Brosz; Carlos Fierro; Howard Schwartz; Kathleen Neuzil; Larry Corey; Peter Gilbert; Holly Janes; Dean Follmann; Mary Marovich; John Mascola; Laura Polakowski; Julie Ledgerwood; Barney S Graham; Hamilton Bennett; Rolando Pajon; Conor Knightly; Brett Leav; Weiping Deng; Honghong Zhou; Shu Han; Melanie Ivarsson; Jacqueline Miller; Tal Zaks Journal: N Engl J Med Date: 2020-12-30 Impact factor: 91.245
Authors: Noa Dagan; Noam Barda; Eldad Kepten; Oren Miron; Shay Perchik; Mark A Katz; Miguel A Hernán; Marc Lipsitch; Ben Reis; Ran D Balicer Journal: N Engl J Med Date: 2021-02-24 Impact factor: 91.245
Authors: David W Eyre; Donald Taylor; Mark Purver; David Chapman; Tom Fowler; Koen B Pouwels; A Sarah Walker; Tim E A Peto Journal: N Engl J Med Date: 2022-01-05 Impact factor: 91.245
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Authors: Jong Eun Lee; Minhee Hwang; Yun-Hyeon Kim; Myung Jin Chung; Byeong Hak Sim; Kum Ju Chae; Jin Young Yoo; Yeon Joo Jeong Journal: Radiology Date: 2022-02-01 Impact factor: 29.146