Artificial intelligence-based muscle analysis risk assessment of treatment-related toxicity in metastatic colorectal cancer.

Journal: Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Published Date:

Abstract

IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytotoxic chemotherapy may experience loss of skeletal muscle mass and function. This study explores associations of artificial intelligence (AI)-based skeletal muscle assessment with hematologic toxicity and chemotherapy relative dose intensity (RDI) in adults with mCRC receiving standard combination chemotherapy.MethodsWe conducted a retrospective analysis of adults with mCRC receiving first-line FOLFOX or FOLFIRI over 6 months (≤12 cycles) from 1/2011 to 11/2018. We used a validated AI-based skeletal muscle assessment on baseline (prior to starting chemotherapy) computed tomography scans to determine skeletal muscle index (SMI, cm/m), categorizing low SMI using independent sex-specific cut-off values. We sought to evaluate the association between low SMI and the incidence of grade ≥3 (G ≥ 3) cytopenia over 6 months. Secondary endpoints included time to G ≥ 3 cytopenia and RDI.ResultsOverall, 126 adults met inclusion (median age = 61 years [range, 29-85]; 56 [44%] female) with a median BMI of 26.6 kg/m (IQR, 24.1-30.5 kg/m), including 59 (47%) with a low SMI. G ≥ 3 neutropenia incidence was higher in adults with low SMI (31% vs. 15%, p = 0.036). There was no difference for other G ≥ 3 cytopenias (39% vs 24%, p = 0.067) or median time to G ≥ 3 neutropenia (p = 0.053). Patients with a low SMI had a lower 5FU-bolus RDI (p = 0.045).ConclusionAdults with mCRC receiving first-line chemotherapy with low SMI experienced more G ≥ 3 neutropenia and decreased 5-FU bolus RDI.

Authors

  • Matthew Lei
    Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA.
  • Ryan D Nipp
    Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA.
  • Erica Tavares
    Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA.
  • Uvette Lou
    Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA.
  • Erica Grasso
    Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA.
  • Stephanie Mui
    Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA.
  • J Peter Marquardt
    Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Till D Best
    Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Emily E Van Seventer
    Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Anurag Saraf
    Department of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Ismail Tahir
    Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Nora K Horick
    Department of Statistics, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Florian J Fintelmann
    Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Eric J Roeland
    Oregon Health and Science University, Knight Cancer Institute, Portland, OR, USA.

Keywords

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