Emphysema is associated with the aggressiveness of COPD‐related adenocarcinomas

Lim, Chun Geun; Shin, Kyung Min; Lim, Jae‐Kwang; Kim, Hye Jung; Kim, Won Hwa; Cho, Seung-Hyun; Kim, Gab Chul; Lim, Ji Seun; Jeong, Ji Yun; Ick, Seung

doi:10.1111/crj.13146

Cited by 6 publications

(3 citation statements)

References 31 publications

(52 reference statements)

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“…[40][41] Previous research has con rmed that LUAD accompanied by emphysema exhibits more aggressive characteristics and lower disease-free survival rates compared to cases without emphysema. [42][43] Consistently, our study indicated that LUAD with emphysema is more prone to invade the visceral pleura. 44 The solid component size re ects the invasiveness of the tumor itself, while the other features re ect the relationship between the tumor and the adjacent pleura, vessels, and pulmonary background.…”

Section: Discussionsupporting

confidence: 82%

Nomogram Using Intratumoral and Peritumoral Radiomics For the Preoperative Prediction of Visceral Pleural Invasion in Clinical Stage IA Lung Adenocarcinoma

Wang,

Lyu,

et al. 2023

Preprint

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Purpose To investigate the value of intratumoral and peritumoral radiomics nomograms for preoperatively predicting the presence of visceral pleural invasion (VPI) in patients diagnosed with clinical stage IA lung adenocarcinoma (LUAD) . Methods A total of 404 patients from our hospital were randomly assigned to a training set (n = 283) and an internal validation set (n = 121) using a 7:3 ratio, while 81 patients from two other hospitals constituted the external validation set. We extracted 1218 CT-based radiomics features from the gross tumor volume (GTV) as well as the gross peritumoral tumor volume (GPTV), which included peritumoral regions at 5mm, 10mm, and 15 mm to construct a radiomics model. Additionally, we developed a nomogram based on relevant CT features and the radscore derived from the optimal radiomics model. Results The GPTV10 radiomics model exhibited superior predictive performance compared to GTV, GPTV5, and GPTV15, with AUC values of 0.855, 0.842, and 0.842 in the three respective sets. In the clinical model, the solid component size, pleural indentation sign, solid attachment sign, and vascular convergence sign were identified as independent risk factors among the CT features. The predictive performance of the nomogram, which incorporated relevant CT features and the GPTV10-Radscore, outperformed both the radiomics model and clinical model alone, with AUC values of 0.894, 0.828, and 0.876 in the three respective sets. Conclusions Our nomogram, integrating radiomics features and CT morphological features, exhibits good performance in predicting VPI status in LUAD.

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Section: Discussionsupporting

confidence: 82%

Nomogram Using Intratumoral and Peritumoral Radiomics For the Preoperative Prediction of Visceral Pleural Invasion in Clinical Stage IA Lung Adenocarcinoma

Wang,

Lyu,

et al. 2023

Preprint

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“…This traction results in morphological changes in nearby bronchi, vessels, and pleura, which manifest as air bronchogram signs, vascular convergence signs, and pleural indentation signs on CT images [43,44]. Previous research has confirmed that LUAD accompanied by emphysema exhibits more aggressive characteristics and lower disease-free survival rates compared to cases without emphysema [45,46] Consistently, our study indicated that LUAD with emphysema is more prone to invade the visceral pleura [47]. The solid component size reflects the invasiveness of the tumor itself, while the other features reflect the relationship between the tumor and the adjacent pleura, vessels, and pulmonary background.…”

Section: Discussionmentioning

confidence: 99%

Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma

Wang,

Lyu,

et al. 2024

J Cardiothorac Surg

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Background Accurate prediction of visceral pleural invasion (VPI) in lung adenocarcinoma before operation can provide guidance and help for surgical operation and postoperative treatment. We investigate the value of intratumoral and peritumoral radiomics nomograms for preoperatively predicting the status of VPI in patients diagnosed with clinical stage IA lung adenocarcinoma. Methods A total of 404 patients from our hospital were randomly assigned to a training set (n = 283) and an internal validation set (n = 121) using a 7:3 ratio, while 81 patients from two other hospitals constituted the external validation set. We extracted 1218 CT-based radiomics features from the gross tumor volume (GTV) as well as the gross peritumoral tumor volume (GPTV5, 10, 15), respectively, and constructed radiomic models. Additionally, we developed a nomogram based on relevant CT features and the radscore derived from the optimal radiomics model. Results The GPTV10 radiomics model exhibited superior predictive performance compared to GTV, GPTV5, and GPTV15, with area under the curve (AUC) values of 0.855, 0.842, and 0.842 in the three respective sets. In the clinical model, the solid component size, pleural indentation, solid attachment, and vascular convergence sign were identified as independent risk factors among the CT features. The predictive performance of the nomogram, which incorporated relevant CT features and the GPTV10-radscore, outperformed both the radiomics model and clinical model alone, with AUC values of 0.894, 0.828, and 0.876 in the three respective sets. Conclusions The nomogram, integrating radiomics features and CT morphological features, exhibits good performance in predicting VPI status in lung adenocarcinoma.

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“…Other researchers have shown that quantitative emphysema severity of the whole lung and stage III were independent predictors of lung cancer recurrence after adjusting for age, gender, smoking status, and FEV1 ( 46 ). Lung adenocarcinomas in the emphysema group have a more aggressive pathologic grade and a higher prevalence of solid lesions ( 47 ). Consistent with previous studies, our study showed that emphysema was also independently associated with lung cancer coexisting with COPD.…”

Section: Discussionmentioning

confidence: 99%

The clinical relevance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in chronic obstructive pulmonary disease with lung cancer

Wang

et al. 2022

Front. Oncol.

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BackgroundChronic obstructive pulmonary disease (COPD) coexisting with lung cancer is associated with severe mortality and a worse prognosis. Inflammation plays an important role in common pathogenic pathways and disease progression. However, a few studies have identified the clinical value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in COPD with lung cancer, which are systemic inflammatory response markers in the blood. This study aimed to determine the association of the NLR or PLR with clinical characteristics and whether NLR or PLR can be diagnostic markers for COPD with lung cancer.MethodsBetween 2015 and 2021, we conducted a retrospective analysis of 236 COPD patients with lung cancer and 500 patients without lung cancer (control group). Clinical information, blood routine examination, and spirometry results were collected and analyzed. The receiver operating characteristic (ROC) curve was used to identify the best cutoff point of NLR or PLR. Multivariate logistic regression analysis was performed to evaluate the association of NLR or PLR with the diagnosis and prognosis of COPD with lung cancer.ResultsCompared to patients in the COPD-only group, patients in the lung cancer group had a higher percentage of current smoking and emphysema, and it was found that NLR or PLR was significantly higher in the lung cancer group. Multivariate analysis showed that age, smoking status, FEV1%pred, emphysema, NLR, and PLR were independent risk factors for lung cancer development in COPD. Furthermore, the high level of NLR or PLR was associated with age over 70 years old, current smoking status, and ineligible surgery treatment. The level of PLR or NLR markedly increased with hypercoagulation status, the severity of airflow limitation, and advanced progression of lung cancer. Additionally, the ROC analysis also revealed that elevated NLR or PLR was an independent predictor of COPD in lung cancer patients, TNM stages IIIB–IV at first diagnosis in lung cancer, and ineligible surgery in lung cancer patients.ConclusionIncreased NLR or PLR values might be an important and easily measurable inflammation biomarker to predict the diagnosis and severity of lung cancer with COPD.

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Emphysema is associated with the aggressiveness of COPD‐related adenocarcinomas

Cited by 6 publications

References 31 publications

Nomogram Using Intratumoral and Peritumoral Radiomics For the Preoperative Prediction of Visceral Pleural Invasion in Clinical Stage IA Lung Adenocarcinoma

Nomogram Using Intratumoral and Peritumoral Radiomics For the Preoperative Prediction of Visceral Pleural Invasion in Clinical Stage IA Lung Adenocarcinoma

Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma

The clinical relevance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in chronic obstructive pulmonary disease with lung cancer

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