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Clinical Nomogram Using Novel Computed Tomography-Based Radiomics Predicts Survival in Patients With Non-Small-Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy.
Somasundaram, Eashwar; Wadhwa, Raoul R; Litzler, Adam; Barker-Clarke, Rowan; Qi, Peng; Videtic, Gregory; Stephans, Kevin; Pennell, Nathan A; Raymond, Daniel; Yang, Kailin; Kattan, Michael W; Scott, Jacob G.
Affiliation
  • Somasundaram E; Case Western Reserve University School of Medicine, Cleveland, OH.
  • Wadhwa RR; Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH.
  • Litzler A; Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO.
  • Barker-Clarke R; Department of Translational Hematology and Oncology Research, Lerner Research Institute, Cleveland Clinic, Cleveland, OH.
  • Qi P; Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Videtic G; Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Stephans K; Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Pennell NA; Department of Hematology Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Raymond D; Case Comprehensive Cancer Center, Cleveland, OH.
  • Yang K; Department of Thoracic and Cardiovascular Surgery, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH.
  • Kattan MW; Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Scott JG; Case Comprehensive Cancer Center, Cleveland, OH.
JCO Clin Cancer Inform ; 7: e2200173, 2023 06.
Article in En | MEDLINE | ID: mdl-37369090
ABSTRACT

PURPOSE:

Improved survival prediction and risk stratification in non-small-cell lung cancer (NSCLC) would lead to better prognosis counseling, adjuvant therapy selection, and clinical trial design. We propose the persistent homology (PHOM) score, the radiomic quantification of solid tumor topology, as a solution. MATERIALS AND

METHODS:

Patients diagnosed with stage I or II NSCLC primarily treated with stereotactic body radiation therapy (SBRT) were selected (N = 554). The PHOM score was calculated for each patient's pretreatment computed tomography scan (October 2008-November 2019). PHOM score, age, sex, stage, Karnofsky Performance Status, Charlson Comorbidity Index, and post-SBRT chemotherapy were predictors in the Cox proportional hazards models for OS and cancer-specific survival. Patients were split into high- and low-PHOM score groups and compared using Kaplan-Meier curves for overall survival (OS) and cumulative incidence curves for cause-specific death. Finally, we generated a validated nomogram to predict OS, which is publicly available at Eashwarsoma.Shinyapps.

RESULTS:

PHOM score was a significant predictor for OS (hazard ratio [HR], 1.17; 95% CI, 1.07 to 1.28) and was the only significant predictor for cancer-specific survival (1.31; 95% CI, 1.11 to 1.56) in the multivariable Cox model. The median survival for the high-PHOM group was 29.2 months (95% CI, 23.6 to 34.3), which was significantly worse compared with the low-PHOM group (45.4 months; 95% CI, 40.1 to 51.8; P < .001). The high-PHOM group had a significantly greater chance of cancer-specific death at post-treatment month 65 (0.244; 95% CI, 0.192 to 0.296) compared with the low-PHOM group (0.171; 95% CI, 0.123 to 0.218; P = .029).

CONCLUSION:

The PHOM score is associated with cancer-specific survival and predictive of OS. Our developed nomogram can be used to inform clinical prognosis and assist in making post-SBRT treatment considerations.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiosurgery / Carcinoma, Non-Small-Cell Lung / Lung Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JCO Clin Cancer Inform Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiosurgery / Carcinoma, Non-Small-Cell Lung / Lung Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JCO Clin Cancer Inform Year: 2023 Document type: Article