Application of community detection algorithm to investigate the correlation between imaging biomarkers of tumor metabolism, hypoxia, cellularity, and perfusion for precision radiotherapy in head and neck squamous cell carcinomas Journal Article


Authors: Paudyal, R.; Grkovski, M.; Oh, J. H.; Schöder, H.; Nunez, D. A.; Hatzoglou, V.; Deasy, J. O.; Humm, J. L.; Lee, N. Y.; Shukla-Dave, A.
Article Title: Application of community detection algorithm to investigate the correlation between imaging biomarkers of tumor metabolism, hypoxia, cellularity, and perfusion for precision radiotherapy in head and neck squamous cell carcinomas
Abstract: The present study aimed to investigate the correlation at pre-treatment (TX) between quantitative metrics derived from multimodality imaging (MMI), including18 F-FDG-PET/CT,18 F-FMISO-PET/CT, DW-and DCE-MRI, using a community detection algorithm (CDA) in head and neck squamous cell carcinoma (HNSCC) patients. Twenty-three HNSCC patients with 27 metastatic lymph nodes underwent a total of 69 MMI exams at pre-TX. Correlations among quantitative metrics derived from FDG-PET/CT (SUL), FMSIO-PET/CT (K1, k3, TBR, and DV), DW-MRI (ADC, IVIM [D, D*, and f]), and FXR DCE-MRI [Ktrans, ve, and τi]) were investigated using the CDA based on a “spin-glass model” coupled with the Spearman’s rank, ρ, analysis. Mean MRI T2 weighted tumor volumes and SULmean values were moderately positively correlated (ρ = 0.48, p = 0.01). ADC and D exhibited a moderate negative correlation with SULmean (ρ ≤ −0.42, p < 0.03 for both). K1 and Ktrans were positively correlated (ρ = 0.48, p = 0.01). In contrast, Ktrans and k3max were negatively correlated (ρ = −0.41, p = 0.03). CDA revealed four communities for 16 metrics interconnected with 33 edges in the network. DV, Ktrans, and K1 had 8, 7, and 6 edges in the network, respectively. After validation in a larger population, the CDA approach may aid in identifying useful biomarkers for developing individual patient care in HNSCC. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: positron emission tomography; kinetic modeling; diffusion-weighted; dynamic contrast-enhanced; community detection algorithm; fast exchange regime model; spin-glass model
Journal Title: Cancers
Volume: 13
Issue: 15
ISSN: 2072-6694
Publisher: MDPI  
Date Published: 2021-08-01
Start Page: 3908
Language: English
DOI: 10.3390/cancers13153908
PROVIDER: scopus
PMCID: PMC8345739
PUBMED: 34359810
DOI/URL:
Notes: Article -- Export Date: 1 September 2021 -- Source: Scopus
Altmetric
Citation Impact
MSK Authors
  1. Nancy Y. Lee
    695 Lee
  2. Heiko Schoder
    385 Schoder
  3. John Laurence Humm
    381 Humm
  4. Amita Dave
    106 Dave
  5. Jung Hun Oh
    151 Oh
  6. Joseph Owen Deasy
    404 Deasy
  7. Ramesh Paudyal
    18 Paudyal