An observational study in Non-small Cell Lung Cancer, Spread Through Air Space and Visceral Pleural Invasion, sponsored by Shanghai Pulmonary Hospital, Shanghai, China. Recruiting at 3 sites in China. Open to participants aged 20 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-06-29.
Sponsored by Shanghai Pulmonary Hospital, Shanghai, China · Observational
The purpose of this study is to evaluate the performance of a PET/ CT-based deep learning signature for predicting aggressive histological pattern in resected non-small cell lung cancer based on a multicenter prospective cohort.
7,243 studies on the registry are indexed under Lung Neoplasms; 1,557 are open to participants now.
This study's planned enrollment of 1,500 is above the median of 189 across 1,514 observational studies indexed under Lung Neoplasms.
Browse Lung Neoplasms studies →Shanghai Pulmonary Hospital, Shanghai, China is the lead sponsor of 149 studies on the registry; 91 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Resected Stage I-III Non-small Cell Lung Cancer
(1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Pathological confirmation of primary NSCLC; (3) Age ranging from 20-75 years; (4) Obtained written informed consent.
Exclusion Criteria:
(1) Multiple lung lesions; (2) Poor quality of PET-CT images; (3) Participants with incomplete clinical information; (4) Participants who have received neoadjuvant therapy.
Deep Learning Signature Based on PET-CT for Predicting the Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer
Area under the receiver operating characteristic curve
The area under the receiver operating characteristic curve (ROC) of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Sensitivity
The sensitivity of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Specificity
The specificity of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Positive predictive value
The positive predictive value of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Negative predictive value
The negative predictive value of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Accuracy
The accuracy of the deep learning model in predicting the presence or absence of the aggressive histological pattern. The aggressive histological pattern includes spread through air space (STAS), visceral pleural invasion (VPI), and lymphovascular invasion (LVI). And the model will output all predictive values (presence or absence) of the three kinds of aggressive histological patterns.
Time frame: 2023.5.1-2023.10.31
Plan to share: No
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Shanghai Pulmonary Hospital, Shanghai, China