Relapse predictability of topological signature on pretreatment planning CT images of stage I non‐small cell lung cancer patients before treatment with stereotactic ablative radiotherapy

• Published in: Thoracic cancer Vol. 13; no. 15; pp. 2117 - 2126
• Main Authors: Kodama, Takumi, Arimura, Hidetaka, Shirakawa, Yuko, Ninomiya, Kenta, Yoshitake, Tadamasa, Shioyama, Yoshiyuki
• Format: Journal Article
• Language: English
• Published: Melbourne John Wiley & Sons Australia, Ltd 01.08.2022; John Wiley & Sons, Inc; Wiley
• Subjects: Connectivity; Datasets; Decomposition; Lung cancer; Metastasis; non‐small cell lung cancer (NSCLC); Original; Patients; Radiation therapy; Radiomics; radiotherapy; relapse; Surgery; topology; Tumors
• ISSN: 1759-7706; 1759-7714
• DOI: 10.1111/1759-7714.14483

Background This study aimed to explore the predictability of topological signatures linked to the locoregional relapse (LRR) and distant metastasis (DM) on pretreatment planning computed tomography images of stage I non‐small cell lung cancer (NSCLC) patients before treatment with stereotactic ablative radiotherapy (SABR). Methods We divided 125 primary stage I NSCLC patients (LRR: 34, DM: 22) into training (n = 60) and test datasets (n = 65), and the training dataset was augmented to 260 cases using a synthetic minority oversampling technique. The relapse predictabilities of the conventional wavelet‐based features (WF), topology‐based features [BF, Betti number (BN) map features; iBF, inverted BN map features], and their combined features (BWF, iBWF) were compared. The patients were stratified into high‐risk and low‐risk groups using the medians of the radiomics scores in the training dataset. Results For the LRR in the test, the iBF, iBWF, and WF showed statistically significant differences (p < 0.05), and the highest nLPC was obtained for the iBF. For the DM in the test, the iBWF showed a significant difference and the highest nLPC. Conclusion The iBF indicated the potential of improving the LRR and DM prediction of stage I NSCLC patients prior to undergoing SABR. We investigated the predictability of topological signatures on planning CT images linked to locoregional relapse (LRR) and distant metastasis (DM) of non‐small cell lung cancer (NSCLC) patients after stereotactic ablative radiotherapy (SABR). A signature derived from inverted Betti number map features indicated the potential of improving the high‐risk and low‐risk stratification for LRR and DM of stage I NSCLC patients prior to undergoing SABR.