Predictive value of CT target scan-based radiomics and clinical features for patients with chronic obstructive pulmonary disease combined with malignant pulmonary nodules.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
104 patients diagnosed with COPD and pulmonary nodules, treated at our hospital between September 2022 and September 2024.
I · Intervention 중재 / 시술
spiral CT target scanning
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
All participants underwent spiral CT target scanning.
[OBJECTIVES] This study aims to evaluate the predictive value of CT target scan-based radiomics and clinical features in patients with chronic obstructive pulmonary disease (COPD) who also present wit
- 표본수 (n) 48
- p-value P < 0.05
APA
Liu F, Yuan M, et al. (2026). Predictive value of CT target scan-based radiomics and clinical features for patients with chronic obstructive pulmonary disease combined with malignant pulmonary nodules.. Biomedical engineering online, 25(1), 25. https://doi.org/10.1186/s12938-026-01509-6
MLA
Liu F, et al.. "Predictive value of CT target scan-based radiomics and clinical features for patients with chronic obstructive pulmonary disease combined with malignant pulmonary nodules.." Biomedical engineering online, vol. 25, no. 1, 2026, pp. 25.
PMID
41545983
Abstract
[OBJECTIVES] This study aims to evaluate the predictive value of CT target scan-based radiomics and clinical features in patients with chronic obstructive pulmonary disease (COPD) who also present with malignant pulmonary nodules.
[METHODS] A retrospective analysis was conducted on 104 patients diagnosed with COPD and pulmonary nodules, treated at our hospital between September 2022 and September 2024. The cohort was stratified into a benign group (n = 48) and a malignant group (n = 66) based on the definitive pathological examination results. All participants underwent spiral CT target scanning. Univariate and multivariate logistic regression analyses were employed to identify influencing factors. In addition, a receiver operating characteristic (ROC) curve was constructed to assess the predictive value.
[RESULTS] In comparison with the benign group, the malignant group exhibited a greater aspect ratio, a higher proportion of patients over 45 years of age, and increased occurrences of mixed ground-glass opacities, calcification, spiculation sign, vascular convergence sign, and lobulation sign, along with a significant elevation in the CAT score (P < 0.05). The CAT score, density, spiculation sign, and lobulation sign emerged as independent risk factors for the presence of malignant pulmonary nodules in patients with COPD (P < 0.05). The aforementioned imaging factors were incorporated into a multivariate logistic regression model: Logit (P) = 10.490 + 0.917 × CAT score + 1.547 × density + 0.823 × spiculation sign + 0.736 × lobulation sign. The area under the curve (AUC) values for the CAT score, radiomics model, and combined model were 0.768, 0.826, and 0.909, respectively.
[CONCLUSIONS] Radiomics features derived from CT target scanning, when combined with clinical features, demonstrate promising potential for differentiating between benign and malignant pulmonary nodules in patients with COPD. This approach may indirectly reflect patients' pulmonary function and serve as a reference for the early diagnosis of COPD combined with lung cancer.
[METHODS] A retrospective analysis was conducted on 104 patients diagnosed with COPD and pulmonary nodules, treated at our hospital between September 2022 and September 2024. The cohort was stratified into a benign group (n = 48) and a malignant group (n = 66) based on the definitive pathological examination results. All participants underwent spiral CT target scanning. Univariate and multivariate logistic regression analyses were employed to identify influencing factors. In addition, a receiver operating characteristic (ROC) curve was constructed to assess the predictive value.
[RESULTS] In comparison with the benign group, the malignant group exhibited a greater aspect ratio, a higher proportion of patients over 45 years of age, and increased occurrences of mixed ground-glass opacities, calcification, spiculation sign, vascular convergence sign, and lobulation sign, along with a significant elevation in the CAT score (P < 0.05). The CAT score, density, spiculation sign, and lobulation sign emerged as independent risk factors for the presence of malignant pulmonary nodules in patients with COPD (P < 0.05). The aforementioned imaging factors were incorporated into a multivariate logistic regression model: Logit (P) = 10.490 + 0.917 × CAT score + 1.547 × density + 0.823 × spiculation sign + 0.736 × lobulation sign. The area under the curve (AUC) values for the CAT score, radiomics model, and combined model were 0.768, 0.826, and 0.909, respectively.
[CONCLUSIONS] Radiomics features derived from CT target scanning, when combined with clinical features, demonstrate promising potential for differentiating between benign and malignant pulmonary nodules in patients with COPD. This approach may indirectly reflect patients' pulmonary function and serve as a reference for the early diagnosis of COPD combined with lung cancer.
MeSH Terms
Humans; Pulmonary Disease, Chronic Obstructive; Male; Female; Middle Aged; Tomography, X-Ray Computed; Lung Neoplasms; Aged; Retrospective Studies; ROC Curve; Predictive Value of Tests; Image Processing, Computer-Assisted; Radiomics
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