An observational study in Lung Adenocarcinoma, sponsored by University of Roma La Sapienza. Completed at 1 site in Italy. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-09-05.
Sponsored by University of Roma La Sapienza · Observational
Spread through air space (STAS) has been reported as a negative prognostic factor in patients with lung cancer undergone sublobar resection. Its preoperative assessment could thus be useful to customize surgical treatment. Radiomics has been recently proposed to predict STAS in patients with lung adenocarcinoma. However, all the studies have strictly selected both imaging and patients, leading to results hardly applicable to daily clinical practice. The aim of this study is to test a radiomics-based prediction model of STAS in practice-based dataset and verify its validity and translational potentials.
Radiological and clinical data from 100 consecutive patients with resected lung adenocarcinoma were retrospectively collected for the training section. As in common clinical practice, preoperative CT images were acquired independently by different physicians and from different hospitals. Therefore, our dataset presents high variance in model and manufacture of scanner, acquisition and reconstruction protocol, endovenous contrast phase and pixel size. To test the effect of normalization in highly varying data, preoperative CT images and tumor region of interest were preprocessed with four different pipelines. Features were extracted using pyradiomics and selected considering both separation power and robustness within pipelines. After that, a radiomics-based prediction model of STAS were created using the most significant associated features. This model were than validated in a group of 50 patients prospectively enrolled as external validation group to test its efficacy in STAS prediction.
2,004 studies on the registry are indexed under Adenocarcinoma; 375 are open to participants now.
This study's enrollment of 150 is close to the median of 153 across 332 observational studies indexed under Adenocarcinoma.
Browse Adenocarcinoma studies →University of Roma La Sapienza is the lead sponsor of 388 studies on the registry; 55 are open to participants now.
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Patients undergoing lung cancer surgery at Policlinico Umberto I Hospital, Rome
Exclusion Criteria:
Imaging from patients with surgically treated lung adenocarcinoma were collected and processed for the construction of the radiomics-based prediction model
Sensitivity
Testing the sensitivity of Radiomics to predict STAS using the area under receiver operating characteristic curve
Time frame: 24 hour before operation
Specificity
Testing the specificity of Radiomics to predict STAS using the area under receiver operating characteristic curve
Time frame: 24 hour before operation
Plan to share: Undecided
This study is completed, as verified in Sep 2021. You cannot join it, but the record below documents what was studied.
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University of Roma La Sapienza