A Comparative Analysis of White Matter Structural Networks on SCLC Patients After Chemotherapy

Brain Topogr. 2022 May;35(3):352-362. doi: 10.1007/s10548-022-00892-2. Epub 2022 Feb 25.

Abstract

Previous sMRI, DTI and rs-fMRI studies in small cell lung cancer (SCLC) patients have reported that patients after chemotherapy had gray and white matter structural alterations along with functional deficits. Nonetheless, few are known regarding the potential alterations in the topological organization of the WM structural network in SCLC patients after chemotherapy. In this context, the scope of the present study is to evaluate the WM structural network of 20 SCLC patients after chemotherapy and to 14 healthy controls, by applying a combination of DTI with graph theory. The results revealed that both SCLC and healthy controls groups demonstrated small world properties. The SCLC patients had decreased values in the clustering coefficient, local efficiency and degree metrics as well as increased shortest path length when compared to the healthy controls. Moreover, the two groups reported different topological reorganization of hub distribution. Lastly, the SCLC patients exhibited significantly decreased structural connectivity in comparison to the healthy group. These results underline that the topological organization of the WM structural network in SCLC patients was disrupted and hence constitute new vital information regarding the effects that chemotherapy and cancer may have in the patients' brain at network level.

Keywords: Brain structural connectivity; Chemotherapy; Diffusion tensor imaging; Graph theory; Small-cell lung cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain / diagnostic imaging
  • Diffusion Tensor Imaging / methods
  • Humans
  • Lung Neoplasms* / diagnostic imaging
  • Lung Neoplasms* / drug therapy
  • Small Cell Lung Carcinoma* / diagnostic imaging
  • Small Cell Lung Carcinoma* / drug therapy
  • White Matter* / diagnostic imaging