The Society for Translational Medicine: indications and methods of percutaneous transthoracic needle biopsy for diagnosis of lung cancer

Dong, Jingsi; He, Jie; Liu, Deruo; Tian, David H.; Gao, Shugeng; Li, Shanqing; Liu, Lunxu; He, Jianxing; Huang, Yunchao; Xu, Shidong; Mao, Weimin; Tan, Qunyou; Chen, Chun; Li, Xiaofei; Zhang, Zhu; Jiang, Gening; Xu, Lin; Fu, Jianhua; Li, Hui; Wang, Qun; Tan, Lijie; Li, Danqing; Zhou, Qinghua; Fu, Xiangning; Jiang, Zhongmin; Chen, Haiquan; Fang, Wentao; Zhang, Xun; Li, Yin; Tong, Ti; Yu, Zhentao; Liu, Yongyu; Zhi, Xiao; Yan, Tiansheng; Zhang, Xingyi; Casal, Roberto F.; Pompeo, Eugenio; Carretta, Angelo; Riquet, Marc; Rena, Ottavio; Falcoz, Pierre-Emmanuel; Saji, Hisashi; Khan, Ali Zamir; Danguilan, Jose Luis J.; González-Rivas, Diego; Guibert, Nicolas; Zhu, Chengchu; Shen, Jianfei

doi:10.21037/jtd.2018.09.28

Cited by 15 publications

(13 citation statements)

References 58 publications

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“…At present, the commonly used gene detection methods are invasive, such as using tissue or cytological specimens. Because puncture biopsy can lead to serious complications, such as pneumothorax and hemoptysis, some patients can not complete the above invasive operations ( Zhou et al, 2018 ; Liu et al, 2020 ). Therefore, it is urgent to develop a non-invasive, accurate, and simple gene mutation detection method.…”

Section: Introductionmentioning

confidence: 99%

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

Huang

Wang

et al. 2022

Front. Pharmacol.

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Purpose: This study aimed to compare the performance of radiomics and deep learning in predicting EGFR mutation status in patients with lung cancer based on PET/CT images, and tried to explore a model with excellent prediction performance to accurately predict EGFR mutation status in patients with non-small cell lung cancer (NSCLC).Method: PET/CT images of 194 NSCLC patients from Xijing Hospital were collected and divided into a training set and a validation set according to the ratio of 7:3. Statistics were made on patients’ clinical characteristics, and a large number of features were extracted based on their PET/CT images (4306 radiomics features and 2048 deep learning features per person) with the pyradiomics toolkit and 3D convolutional neural network. Then a radiomics model (RM), a deep learning model (DLM), and a hybrid model (HM) were established. The performance of the three models was compared by receiver operating characteristic (ROC) curves, sensitivity, specificity, accuracy, calibration curves, and decision curves. In addition, a nomogram based on a deep learning score (DS) and the most significant clinical characteristic was plotted.Result: In the training set composed of 138 patients (64 with EGFR mutation and 74 without EGFR mutation), the area under the ROC curve (AUC) of HM (0.91, 95% CI: 0.86–0.96) was higher than that of RM (0.82, 95% CI: 0.75–0.89) and DLM (0.90, 95% CI: 0.85–0.95). In the validation set composed of 57 patients (32 with EGFR mutation and 25 without EGFR mutation), the AUC of HM (0.85, 95% CI: 0.77–0.93) was also higher than that of RM (0.68, 95% CI: 0.52–0.84) and DLM (0.79, 95% CI: 0.67–0.91). In all, HM achieved better diagnostic performance in predicting EGFR mutation status in NSCLC patients than two other models.Conclusion: Our study showed that the deep learning model based on PET/CT images had better performance than radiomics model in diagnosing EGFR mutation status of NSCLC patients based on PET/CT images. Combined with the most statistically significant clinical characteristic (smoking) and deep learning features, our hybrid model had better performance in predicting EGFR mutation types of patients than two other models, which could enable NSCLC patients to choose more personalized treatment schemes.

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Section: Introductionmentioning

confidence: 99%

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

Huang

Wang

et al. 2022

Front. Pharmacol.

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“…Percutaneous biopsies guided by imaging methods are well-established procedures included in all major international societies' lung cancer guidelines (7)(8)(9)(10)(11)(12). These procedures yield optimal tumor sampling, with excellent performance and low complication rates (13).…”

Section: Introductionmentioning

confidence: 99%

PET/CT-Guided Biopsy of Suspected Lung Lesions Requires Less Rebiopsy Than CT-Guided Biopsy Due to Inconclusive Results

Cerci¹,

Bogoni²,

Cerci³

et al. 2020

J Nucl Med

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“…The higher rate of pneumothorax associated with CT-guided biopsies has been reported [7][8][9] . Zhuo et al, [2] explain This relative disadvantage of CT due to longer needle dwell times across the pleura and lack of real-time visualization of needle during the actual sampling.…”

Section: Discussionmentioning

confidence: 99%

“…Subgroup analysis of the pleural contact in relation to the overall complication incidence, showed a statistically significant relation; that lesions with pleural contact 10-50mm have the least complication rates, while the subcentimetric lesions have the highest complication rates. (p=0.036) Table (2). Two cases needed general anesthesia, one USguided 3 years old boy, and one CT-guided 13 years old teenager, the total procedure times including anesthesia, showed five-fold increase in US-case; (25 minutes, while the biopsy itself consumed 5 minutes only) and three-fold increase in CT-case (37 minutes, while the biopsy itself consumed 12 minutes only), denoting significantly shorter procedural times if the situation did not compel anesthesia.…”

Section: Us-guidance Ct-guidancementioning

confidence: 97%

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Can Ultrasound Replace CT in Peripheral Lung Biopsy Guidance: A Comparative Study

Khalid¹,

Zayed

2021

The Medical Journal of Cairo University

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Background: Selecting the most effective guidance method for peripheral lung biopsy is a priority for interventional radiologists. The clinical trials comparing efficacy and safety of ultrasound (US) and computerized tomography (CT) as biopsy-guiding modalities for peripheral lung biopsy techniques are limited in the literature, and most of them are retrospective. Aim of Study:To compare the efficacy and safety of biopsy guided by US versus CT for lung lesions with pleural contact.Patients and Methods: This is a prospective comparative study; included 40 patients underwent image-guided biopsy at Nasser Institute Hospital, Cairo, Egypt. From June 2018 to May 2020. Lesion size, location, length of pleural contact, number of needle passes, and number of tissues cores, procedure times, complications, and histopathology reports were documented for each biopsy. Statistical analysis using Fisher's exact test and t-test, (Alfa-point=0.05).Results: US-guided group had significantly fewer complications; 15% (3/20) versus 40% (8/20) for CT-guided group; (p=0.036). Fewer number of needles passes were required for US-guided biopsies (mean, 2.7 passes ±0.8 (SD) than for CTguided biopsies (mean, 3.4 passes ± 1.2 (SD); p=0.04). Procedural times were significantly shorter in the US-guidance group, with a mean procedure time of 6.3 minutes ±2.2 (SD) compared to 21.8 minutes ±5.7 (SD) for CT-guided biopsies; (p=0.0001). Conclusion:US guidance should be thought of as a primary tool for guidance of peripheral lung lesions' biopsy, because it is superior to CT in safety and time-saving with comparable accuracy.

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The Society for Translational Medicine: indications and methods of percutaneous transthoracic needle biopsy for diagnosis of lung cancer

Cited by 15 publications

References 58 publications

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features

PET/CT-Guided Biopsy of Suspected Lung Lesions Requires Less Rebiopsy Than CT-Guided Biopsy Due to Inconclusive Results

Can Ultrasound Replace CT in Peripheral Lung Biopsy Guidance: A Comparative Study

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