Comparison of Digital Tomosynthesis and Chest Radiography for the Detection of Noncalcified Pulmonary and Hilar Lesions

Galea, Angela; Adlan, Tarig; Gay, David; Roobottom, Carl; Riordan, Richard

doi:10.1097/rti.0000000000000144

Cited by 3 publications

(5 citation statements)

References 26 publications

(10 reference statements)

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“…9,12,25 Regarding the eight lesion-based studies, we compared detection rates rather than sensitivity and specificity because we were able to extract only the number of true positives and the total number of nodules from all but three of them. [24][25][26] However, the inability to extract the number of true-positives, false-positives, true-negatives and false-negatives could be a significant drawback to our study, as this is essential when assessing the appropriateness of utilizing a technique for clinical use. In our meta-analysis, some studies which used CT as the reference standard did not suggest the truenegative number, because they demonstrated only the true-positive number of nodules detected with DTS and chest radiography among nodules detected with CT. 13,22,23 In other studies, sensitivity was estimated on a per-lesion basis, but specificity was exclusively estimated on per-patient basis.…”

Section: Discussionmentioning

confidence: 99%

“…All but four studies included an intervention group (pulmonary nodule) and a control group (no pulmonary nodule), and there were four studies that included patients with equivocal or abnormal findings, such as opacity or nodule, on chest radiography. 18,19,24,26 Quality assessment Table 2 outlines the quality assessment of all studies included in the meta-analysis. In all studies but two studies, 17,23 index test was defined as a low risk of bias.…”

Section: Study Characteristics and Patient Populationsmentioning

confidence: 99%

“…9,11,13,[21][22][23] However, we could extract the total numbers of true positives and the total number of pulmonary nodules, which allowed us to calculate and analyze detection rates. Thus, we identified 7 studies (1017 patients) that presented per-patient results 10,12,[17][18][19][20][21] and 10 studies that presented per-lesion results (2159 lesions) 9,11,13,[21][22][23][24][25][26][27] for meta-analysis. Only one study included both per-patient-and per-lesion-based data.…”

Section: Study Characteristics and Patient Populationsmentioning

confidence: 99%

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Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis

Kim¹,

Lee²,

Kim³

et al. 2016

The British Journal of Radiology

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Objective: To compare the diagnostic accuracy of digital tomosynthesis (DTS) with that of chest radiography for the detection of pulmonary nodules by meta-analysis. Methods: A systematic literature search was performed to identify relevant original studies from 1 January 1 1976 to 31 August 31 2016. The quality of included studies was assessed by quality assessment of diagnostic accuracy studies-2. Per-patient data were used to calculate the sensitivity and specificity and per-lesion data were used to calculate the detection rate. Summary receiveroperating characteristic curves were drawn for pulmonary nodule detection. Results: 16 studies met the inclusion criteria. 1017 patients on a per-patient basis and 2159 lesions on a per-lesion basis from 16 eligible studies were evaluated. The pooled patient-based sensitivity of DTS was 0.85 [95% confidence interval (CI) 0.83-0.88] and the specificity was 0.95 (0.93-0.96). The pooled sensitivity and specificity of chest radiography were 0.47 (0.44-0.51) and 0.37 (0.34-0.40), respectively. The per-lesion detection rate was 2.90 (95% CI 2.63-3.19). Conclusion: DTS has higher diagnostic accuracy than chest radiography for detection of pulmonary nodules. Chest radiography has low sensitivity but similar specificity, comparable with that of DTS. Advances in knowledge: DTS has higher diagnostic accuracy than chest radiography for the detection of pulmonary nodules.

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Section: Discussionmentioning

confidence: 99%

Section: Study Characteristics and Patient Populationsmentioning

confidence: 99%

Section: Study Characteristics and Patient Populationsmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis

Kim¹,

Lee²,

Kim³

et al. 2016

The British Journal of Radiology

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“…For this reason, CCRs are subject to a certain degree of false negatives. [17][18][19] In the clinical, as long as the abnormal shadow is found on the CCR, it is possible to diagnose the positive case. In the COVID-19 group, the sensitivity, specificity, and accuracy of chest X-rays in the positive cases were 92%, 100%, and 92%, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…The disease quickly spread throughout the entire country. It was on February 12, 2020, when the World Health Organization (WHO) officially named the virus as coronavirus disease 2019 (COVID- 19), and named the pneumonia caused by the virus as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus is believed to have originated from a wet market in Wuhan, yet additional studies are needed to verify this hypothesis.…”

Section: Introductionmentioning

confidence: 99%

The diagnostic value of chest X-ray in coronavirus disease 2019: A comparative study of X-ray and CT

Zeng

Cai²,

Guo

et al. 2021

Science Progress

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As the coronavirus disease 2019 (COVID-19) epidemic spreads around the world, the demand for imaging examinations increases accordingly. The value of conventional chest radiography (CCR) remains unclear. In this study, we aimed to investigate the diagnostic value of CCR in the detection of COVID-19 through a comparative analysis of CCR and CT. This study included 49 patients with 52 CT images and chest radiographs of pathogen-confirmed COVID-19 cases and COVID-19-suspected cases that were found to be negative (non-COVID-19). The performance of CCR in detecting COVID-19 was compared to CT imaging. The major signatures that allowed for differentiation between COVID-19 and non-COVID-19 cases were also evaluated. Approximately 75% (39/52) of images had positive findings on the chest x-ray examinations, while 80.7% (42/52) had positive chest CT scans. The COVID-19 group accounted for 88.4% (23/26) of positive chest X-ray examinations and 96.1% (25/26) of positive chest CT scans. The sensitivity, specificity, and accuracy of CCR for abnormal shadows were 88%, 80%, and 87%, respectively, for all patients. For the COVID-19 group, the accuracy of CCR was 92%. The primary signature on CCR was flocculent shadows in both groups. The shadows were primarily in the bi-pulmonary, which was significantly different from non-COVID-19 patients ( p = 0.008). The major CT finding of COVID-19 patients was ground-glass opacities in both lungs, while in non-COVID-19 patients, consolidations combined with ground-glass opacities were more common in one lung than both lungs ( p = 0.0001). CCR showed excellent performance in detecting abnormal shadows in patients with confirmed COVID-19. However, it has limited value in differentiating COVID-19 patients from non-COVID-19 patients. Through the typical epidemiological history, laboratory examinations, and clinical symptoms, combined with the distributive characteristics of shadows, CCR may be useful to identify patients with possible COVID-19. This will allow for the rapid identification and quarantine of patients.

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The advantage of digital tomosynthesis for pulmonary nodule detection concerning influence of nodule location and size: a phantom study

et al. 2017

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Comparison of Digital Tomosynthesis and Chest Radiography for the Detection of Noncalcified Pulmonary and Hilar Lesions

Cited by 3 publications

References 26 publications

Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis

Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis

The diagnostic value of chest X-ray in coronavirus disease 2019: A comparative study of X-ray and CT

The advantage of digital tomosynthesis for pulmonary nodule detection concerning influence of nodule location and size: a phantom study

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