Computed Tomography-Guided Methylene Blue Localization: Single vs. Multiple Lung Nodules

Lin, Chia Ying; Chang, Chih-Jen; Huang, Li Chi; Chung, Ta Jung; Liu, Yi Sheng; Yen, Yi‐Ting; Tseng, Yau‐Lin

doi:10.3389/fmed.2021.661956

Cited by 25 publications

(51 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result reflected that the advantage of the simultaneous puncture technique-the potential to avoid the interference of the pneumothorax which further disrupted subsequent localization-might have contributed to the high success rate. Furthermore, the median procedure time in the simultaneous group was 20.95 min, shorter than the range of 24 to 56 min in prior studies [10][11][12][13]20]. There are a number of possible reasons for the shorter procedure time.…”

Section: Discussionmentioning

confidence: 67%

“…Prior studies have shown that preoperative multiple nodule localization yields a similar success rate to single nodule localization [ 10 , 11 , 12 , 20 ]. However, the temporal relation of each puncture in multiple nodule localization procedures (i.e., simultaneous or sequential) was not emphasized.…”

Section: Discussionmentioning

confidence: 99%

“…However, the temporal relation of each puncture in multiple nodule localization procedures (i.e., simultaneous or sequential) was not emphasized. In some studies, simultaneous localization was described as multiple localizations in the same period of the procedure [ 10 , 11 , 13 , 20 , 21 ], while in others, it was referred to as simultaneous “puncture” [ 12 , 16 ]. As a result, different puncture techniques may lead to different results.…”

Section: Discussionmentioning

confidence: 99%

“…Preoperative CT-guided nodule localization is a widely adopted approach to aid in the VATS resection for lung nodules and has been shown to have a high success rate and few complications [ 7 , 8 , 9 ]. With the increase in the number of multiple nodules detected, multiple nodule localization is being performed more frequently [ 10 , 11 , 12 , 13 , 14 ]. In our institute, the patent blue dye (PBD) injections we adopted are clinically useful for pulmonary nodule localization [ 8 , 15 ] and may be applied to multiple nodule localization due to the simplicity of performing them promptly.…”

Section: Introductionmentioning

confidence: 99%

“…The use of simultaneous punctures may be a potential solution to overcome this issue. Although simultaneous localization of multiple nodules has been previously reported [ 10 , 11 , 12 , 16 ], the definitions and details of the simultaneous technique differ among reports. Furthermore, to date, simultaneous punctures with CT-guided PBD injection has not been evaluated or compared with the conventional sequential puncture method.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Simultaneous Patent Blue Dye Injections Aid in the Preoperative CT-Guided Localization of Multiple Pulmonary Nodules

et al. 2022

View full text Add to dashboard Cite

Background and Objectives: Clinically, a major challenge of multiple nodule localization is puncture-related pneumothorax, which may hamper the successful localization. This study aims to investigate and compare the efficacy and safety of the simultaneous and sequential patent blue dye (PBD) injections for identifying multiple pulmonary nodules during preoperative CT-guided localization. Materials and Methods: Sixty-one consecutive patients with multiple pulmonary nodules who underwent preoperative CT-guided localization with PBD injections between January 2020 and December 2020 were retrospectively enrolled. Of these patients, 31 patients with 64 nodules who underwent simultaneous injections were designated as the simultaneous group; the remaining 30 patients with 63 nodules who underwent sequential punctures were designated as the sequential group. The clinical and radiological features, technical information, pathological results, and procedure-related variables and complications of the two groups were reviewed and analyzed. Results: The localization success rate of the simultaneous group was higher than that of the sequential group (100% [64/64] vs. 93.7% [59/63], p = 0.041). The incidences of pneumothorax (32.3 vs. 33.3%, p = 0.929) and pulmonary hemorrhage (6.3 vs. 3.0%, p = 1) were not significantly different between the two groups, and all cases were minor, which did not require further intervention. Additionally, a significantly lower radiation dose (2.7 vs. 3.5 mSv, p = 0.001) and a shorter procedure time (20.95 vs. 25.28 min, p = 0.001) were observed in the simultaneous group than in the sequential group. Conclusions: Compared with the sequential method, simultaneous PBD injections may improve the localization success rate with a shorter procedure time and less radiation exposure if the patient with multiple pulmonary nodules can be approached in a single position. Further prospective studies are needed to validate these results.

show abstract

Section: Discussionmentioning

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simultaneous Patent Blue Dye Injections Aid in the Preoperative CT-Guided Localization of Multiple Pulmonary Nodules

et al. 2022

View full text Add to dashboard Cite

show abstract

Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT

Lin,

Guo,

Lien

et al. 2023

Radiol med

Self Cite

View full text Add to dashboard Cite

Objectives The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or malignant categories, and to further classify lung nodules into different pathological subtypes and Lung Imaging Reporting and Data System (Lung-RADS) scores. Materials and methods The proposed model was trained, validated, and tested using three datasets: one public dataset, the Lung Nodule Analysis 2016 (LUNA16) Grand challenge dataset (n = 1004), and two private datasets, the Lung Nodule Received Operation (LNOP) dataset (n = 1027) and the Lung Nodule in Health Examination (LNHE) dataset (n = 1525). The proposed model used a stacked ensemble model by employing a machine learning (ML) approach with an AutoGluon-Tabular classifier. The input variables were modified 3D convolutional neural network (CNN) features, radiomics features, and clinical features. Three classification tasks were performed: Task 1: Classification of lung nodules into benign or malignant in the LUNA16 dataset; Task 2: Classification of lung nodules into different pathological subtypes; and Task 3: Classification of Lung-RADS score. Classification performance was determined based on accuracy, recall, precision, and F1-score. Ten-fold cross-validation was applied to each task. Results The proposed model achieved high accuracy in classifying lung nodules into benign or malignant categories in LUNA 16 with an accuracy of 92.8%, as well as in classifying lung nodules into different pathological subtypes with an F1-score of 75.5% and Lung-RADS scores with an F1-score of 80.4%. Conclusion Our proposed model provides an accurate classification of lung nodules based on the benign/malignant, different pathological subtypes, and Lung-RADS system.

show abstract

The application of single-port thoracoscopic pulmonary nodule resection under general anesthesia with endotracheal intubation

Wei,

Liu,

Zeng

et al. 2024

Asian Journal of Surgery

View full text Add to dashboard Cite

Computed Tomography-Guided Methylene Blue Localization: Single vs. Multiple Lung Nodules

Cited by 25 publications

References 35 publications

Simultaneous Patent Blue Dye Injections Aid in the Preoperative CT-Guided Localization of Multiple Pulmonary Nodules

Simultaneous Patent Blue Dye Injections Aid in the Preoperative CT-Guided Localization of Multiple Pulmonary Nodules

Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT

The application of single-port thoracoscopic pulmonary nodule resection under general anesthesia with endotracheal intubation

Contact Info

Product

Resources

About