Objectives <p>Accurately quantify pulmonary iron oxide by dual-energy CT (DECT) and evaluate its diagnostic potential in arc-welders’ pneumoconiosis (AWP).</p> Materials and methods <p>This prospective, single‑center diagnostic accuracy study (April 2024 to October 2024) included three groups: welders, mimic-imaging, and healthy controls. DECT quantified whole-lung Fe<sub>2</sub>O<sub>3</sub> density (mg/cm³) [<i>D</i><sub>Fe2O3</sub>] and total Fe<sub>2</sub>O<sub>3</sub> mass (mg) [Total-Fe<sub>2</sub>O<sub>3</sub>]. Maximal diameter and <i>D</i><sub>Fe2O3</sub> for the largest nodule and the subjective grading on imaging features were also collected. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic performance. In vitro experiments, ten 30 mL tubes containing Fe<sub>2</sub>O<sub>3</sub> solutions (0–12 mg/mL, in triplicate) were scanned immediately after preparation. ROIs were analyzed, and averaged values were linearly regressed with actual concentrations.</p> Results <p>In vitro experiments showed a strong correlation between measured and actual Fe<sub>2</sub>O<sub>3</sub> concentrations (<i>r</i> = 1.00, <i>p</i> &lt; 0.01). One hundred forty participants were included: 50 welders (mean age, 44.5 years ± 20.25;47 male), 35 mimic-imaging controls (mean age, 51.0 years ± 10.0; 34 male), and 55 healthy controls (mean age, 48.0 years ± 19.0; 41 male). Welders had higher <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(D_{{{\rm{Fe}}}_2{{\rm{O}}}_3}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mi>D</mi> </mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">Fe</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> <msub> <mrow> <mi mathvariant="normal">O</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </msub> </math></EquationSource> </InlineEquation> (0.934 ± 0.50 mg/cm³) and Total-Fe<sub>2</sub>O<sub>3</sub> (4082.6 ± 2503.1 mg) than mimic (0.346 ± 0.28 mg/cm<sup>3</sup>; 1376.1 ± 1514.9 mg) and healthy controls (0.371 ± 0.24 mg/cm<sup>3</sup>; 1374.1 ± 896.2 mg) (all <i>p</i> &lt; 0.001). <i>D</i><sub>Fe2O3</sub> distinguished welders from healthy controls with AUC 0.911 [95% CI: 0.840–0.958], sensitivity 82.0%, specificity 92.7%, and from mimic controls with AUC 0.900 [95% CI: 0.816–0.954], sensitivity 84.0%, specificity 82.9%. In vitro experiments showed a strong correlation (<i>r</i> = 1.00, <i>p</i> &lt; 0.01) between actual and measured concentrations.</p> Conclusion <p>Quantification of pulmonary iron oxide deposition using DECT can aid in the differential diagnosis of AWP.</p> Key Points <p><Emphasis Type="BoldItalic">Question</Emphasis> <i>Due to overlapping imaging features between AWP and other diffuse pulmonary diseases, a definitive diagnosis is difficult based solely on imaging</i>.</p> <p><Emphasis Type="BoldItalic">Findings</Emphasis> <i>Pulmonary D</i><sub><i>Fe2O3</i></sub> <i>and Total-Fe</i><sub><i>2</i></sub><i>O</i><sub><i>3</i></sub> <i>by DECT showed high diagnostic accuracy (AUCs</i> <i>&gt;</i> <i>0.90) for distinguishing welders’ pneumoconiosis from both mimic-imaging and healthy controls</i>.</p> <p><Emphasis Type="BoldItalic">Clinical relevance</Emphasis> <i>Non-invasive DECT Fe</i><sub>2</sub><i>O</i><sub><i>3</i></sub> <i>quantification improves the differential diagnosis of AWP, and enables targeted monitoring of occupational exposure, enhancing patient outcomes and occupational health management</i>.</p> Graphical Abstract <p></p>

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Quantifying whole lung iron oxide deposition with dual-energy CT for diagnosis of arc-welders’ pneumoconiosis

  • Weiling Wang,
  • Yuan Ou,
  • Lixin Lu,
  • Minxue Wang,
  • Ming Lu,
  • Suping Chen,
  • Jianyu Li,
  • Ling Luo,
  • Bingru Liu,
  • Qiong Yang

摘要

Objectives

Accurately quantify pulmonary iron oxide by dual-energy CT (DECT) and evaluate its diagnostic potential in arc-welders’ pneumoconiosis (AWP).

Materials and methods

This prospective, single‑center diagnostic accuracy study (April 2024 to October 2024) included three groups: welders, mimic-imaging, and healthy controls. DECT quantified whole-lung Fe2O3 density (mg/cm³) [DFe2O3] and total Fe2O3 mass (mg) [Total-Fe2O3]. Maximal diameter and DFe2O3 for the largest nodule and the subjective grading on imaging features were also collected. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic performance. In vitro experiments, ten 30 mL tubes containing Fe2O3 solutions (0–12 mg/mL, in triplicate) were scanned immediately after preparation. ROIs were analyzed, and averaged values were linearly regressed with actual concentrations.

Results

In vitro experiments showed a strong correlation between measured and actual Fe2O3 concentrations (r = 1.00, p < 0.01). One hundred forty participants were included: 50 welders (mean age, 44.5 years ± 20.25;47 male), 35 mimic-imaging controls (mean age, 51.0 years ± 10.0; 34 male), and 55 healthy controls (mean age, 48.0 years ± 19.0; 41 male). Welders had higher \(D_{{{\rm{Fe}}}_2{{\rm{O}}}_3}\) D Fe 2 O 3 (0.934 ± 0.50 mg/cm³) and Total-Fe2O3 (4082.6 ± 2503.1 mg) than mimic (0.346 ± 0.28 mg/cm3; 1376.1 ± 1514.9 mg) and healthy controls (0.371 ± 0.24 mg/cm3; 1374.1 ± 896.2 mg) (all p < 0.001). DFe2O3 distinguished welders from healthy controls with AUC 0.911 [95% CI: 0.840–0.958], sensitivity 82.0%, specificity 92.7%, and from mimic controls with AUC 0.900 [95% CI: 0.816–0.954], sensitivity 84.0%, specificity 82.9%. In vitro experiments showed a strong correlation (r = 1.00, p < 0.01) between actual and measured concentrations.

Conclusion

Quantification of pulmonary iron oxide deposition using DECT can aid in the differential diagnosis of AWP.

Key Points

Question Due to overlapping imaging features between AWP and other diffuse pulmonary diseases, a definitive diagnosis is difficult based solely on imaging.

Findings Pulmonary DFe2O3 and Total-Fe2O3 by DECT showed high diagnostic accuracy (AUCs>0.90) for distinguishing welders’ pneumoconiosis from both mimic-imaging and healthy controls.

Clinical relevance Non-invasive DECT Fe2O3 quantification improves the differential diagnosis of AWP, and enables targeted monitoring of occupational exposure, enhancing patient outcomes and occupational health management.

Graphical Abstract