Prediction of postoperative lung function after major lung resection for lung cancer using volumetric computed tomography

Fernández-Rodríguez, Lucía; Torres, Isabel; Romera, D.; Galera, Raúl; Casitas, Raquel; Martínez‐Cerón, Elisabet; Díaz-Agero, Prudencio; Contreras, Constantino; García‐Río, Francisco

doi:10.1016/j.jtcvs.2018.07.040

Cited by 19 publications

(21 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…O/E functional loss ratio Traditionally, pulmonary function loss after lung resection is thought to be in direct proportion to the number of resected segments, leading to the assumption that segmentectomies might preserve more function than lobectomies. However, previous studies have noticed that pulmonary function after lung resection might be inaccurately predicted by the segment counting method due to various factors including the baseline lung function, different intervals between surgery and the postoperative spirometry test (8,21,22), impacts from the surgical incisions (23,24), different compensatory lung expansion after various extent of resections and various lobes resected (25). In this study, we compared the expected pulmonary function loss with the actual loss observed at a fixed interval between spirometry tests after VATS lung resection in functionally fit patients.…”

Section: Discussionmentioning

confidence: 99%

Pulmonary function changes after thoracoscopic lobectomy versus intentional thoracoscopic segmentectomy for early-stage non-small cell lung cancer

Chen¹,

Gu²,

Lin³

et al. 2021

Transl Lung Cancer Res

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Pulmonary function changes after thoracoscopic lobectomy versus intentional thoracoscopic segmentectomy for early-stage non-small cell lung cancer

Chen¹,

Gu²,

Lin³

et al. 2021

Transl Lung Cancer Res

View full text Add to dashboard Cite

“…For many years, perfusion scintigraphy has been the gold standard for estimating postoperative lung function. Recently, several trials were conducted using CT volumetry [ 3 - 6 ]. As technology has advanced, CT volumetric analysis has provided better estimations of predicted postoperative lung function than the methods previously mentioned [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

“…Recently, several trials were conducted using CT volumetry [ 3 - 6 ]. As technology has advanced, CT volumetric analysis has provided better estimations of predicted postoperative lung function than the methods previously mentioned [ 3 ]. The development of programs that work with CT data has facilitated the construction of 3-dimensional (3D) models, allowing resected lung volume to be calculated from the virtual boundaries of the 3D model [ 6 ].…”

Section: Discussionmentioning

confidence: 99%

“…A more convenient way to accurately predict postoperative lung function is needed. However, there are few studies on the use of computed tomography (CT) volumetry to predict lung function after lobectomy [ 3 - 6 ]. In this study, postoperative lung function and predicted postoperative lung function were compared after using perfusion scintigraphy and CT volumetry.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Predicted Postoperative Lung Function in Pneumonectomy Using Computed Tomography and Lung Perfusion Scans

Kang

Lee

2021

J Chest Surg

View full text Add to dashboard Cite

Background Predicting postoperative lung function after pneumonectomy is essential. We retrospectively compared postoperative lung function to predicted postoperative lung function based on computed tomography (CT) volumetry and perfusion scintigraphy in patients who underwent pneumonectomy. Methods Predicted postoperative lung function was calculated based on perfusion scintigraphy and CT volumetry. The predicted function was compared to the postoperative lung function in terms of forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV 1 ), using 4 parameters FVC, FVC%, FEV 1 , and FEV 1 %. Results The correlations between postoperative function and predicted function based on CT volumetry were r=0.632 (p=0.003) for FVC% and r=0.728 (p<0.001) for FEV 1 %. The correlations between postoperative function and predicted postoperative function based on perfusion scintigraphy were r=0.654 (p=0.002) for FVC% and r=0.758 (p<0.001) for FEV 1 %. The preoperative Eastern Cooperative Oncology Group (ECOG) scores were significantly higher in the group in which the gap between postoperative FEV 1 and predicted postoperative FEV 1 analyzed by CT was smaller than the gap analyzed by perfusion scintigraphy (1.2±0.62 vs. 0.4±0.52, p=0.006). Conclusion This study affirms that CT volumetry can replace perfusion scintigraphy for preoperative evaluation of patients needing pneumonectomy. In particular, it was found to be a better predictor of postoperative lung function for poor-performance patients (i.e., those with high ECOG scores).

show abstract

“…This consistency might be interpreted as the alveolar consolidation caused by inflammation, which directly affected the normal ventilation/perfusion (V/Q) homeostasis and thus compromised patients' pulmonary function, and this abnormality could be sensitively detected by chest CT. Thus, quantitative analysis of volume and density based on CT is correlated with respiratory function and can accurately reflect patients' clinical course [21].…”

Section: Discussionmentioning

confidence: 99%

Quantitative analysis based on chest CT classifies common and severe patients with coronavirus disease 2019 pneumonia in Wuhan, China

et al. 2021

View full text Add to dashboard Cite

Objective This study aimed to compare quantifiable radiologic findings and their dynamic change throughout the clinical course of common and severe coronavirus disease 2019 (COVID-19), and to provide valuable evidence for radiologic classification of the two types of this disease. Methods 112 patients with laboratory-confirmed COVID-19 were retrospectively analyzed. Volumetric percentage of infection and density of the lung were measured by a computer-aided software. Clinical parameters were recorded to reflect disease progression. Baseline data and dynamic change were compared between two groups and a decision-tree algorithm was developed to determine the cut-off value for classification. Results 93 patients were finally included and were divided into common group ( n = 76) and severe group ( n = 17) based on current criteria. Compared with common patients, severe patients experienced shorter advanced stage, peak time and plateau, but longer absorption stage. The dynamic change of volume and density coincided with the clinical course. The interquartile range of volumetric percentage of the two groups were 1.0–7.2% and 11.4–31.2%, respectively. Baseline volumetric percentage of infection was significantly higher in severe group, and the cut-off value of it was 10.10%. Conclusions Volumetric percentage between severe and common patients was significantly different. Because serial CT scans are systemically performed in patients with COVID-19 pneumonia, this quantitative analysis can simultaneously provide valuable information for physicians to evaluate their clinical course and classify common and severe patients accurately.

show abstract

Prediction of postoperative lung function after major lung resection for lung cancer using volumetric computed tomography

Cited by 19 publications

References 38 publications

Pulmonary function changes after thoracoscopic lobectomy versus intentional thoracoscopic segmentectomy for early-stage non-small cell lung cancer

Pulmonary function changes after thoracoscopic lobectomy versus intentional thoracoscopic segmentectomy for early-stage non-small cell lung cancer

Comparison of Predicted Postoperative Lung Function in Pneumonectomy Using Computed Tomography and Lung Perfusion Scans

Quantitative analysis based on chest CT classifies common and severe patients with coronavirus disease 2019 pneumonia in Wuhan, China

Contact Info

Product

Resources

About