Differences in liver parenchyma are measurable with CT radiomics at initial colon resection in patients that develop hepatic metastases from stage II/III colon cancer Journal Article


Authors: Creasy, J. M.; Cunanan, K. M.; Chakraborty, J.; McAuliffe, J. C.; Chou, J.; Gonen, M.; Kingham, V. S.; Weiser, M. R.; Balachandran, V. P.; Drebin, J. A.; Kingham, T. P.; Jarnagin, W. R.; D’Angelica, M. I.; Do, R. K. G.; Simpson, A. L.
Article Title: Differences in liver parenchyma are measurable with CT radiomics at initial colon resection in patients that develop hepatic metastases from stage II/III colon cancer
Abstract: Background: Currently, there are no methods to identify patients with an increased risk of liver metastases to guide patient selection for liver-directed therapies. We tried to determine whether quantitative image features (radiomics) of the liver obtained from preoperative staging CT scans at the time of initial colon resection differ in patients that subsequently develop liver metastases, extrahepatic metastases, or demonstrate prolonged disease-free survival. Methods: Patients who underwent resection of stage II/III colon cancer from 2004 to 2012 with available preoperative CT scans were included in this single-institution, retrospective case-control study. Patients were grouped by initial recurrence patterns: liver recurrence, extrahepatic recurrence, or no evidence of disease at 5 years. Radiomic features of the liver parenchyma extracted from CT images were compared across groups. Results: The cohort consisted of 120 patients divided evenly between three recurrence groups, with an equal number of stage II and III patients in each group. After adjusting for multiple comparisons, 44 of 254 (17%) imaging features displayed different distributions across the three patient groups (p < 0.05), with the clearest distinction between those with liver recurrence and no evidence of disease. Increased heterogeneity in the liver parenchyma by radiomic analysis was protective of liver metastases. Conclusions: CT radiomics is a promising tool to identify patients at high risk of developing liver metastases and is worthy of further investigation and validation. © 2020, Society of Surgical Oncology.
Keywords: adult; cancer survival; controlled study; aged; cancer surgery; primary tumor; major clinical study; case control study; cancer recurrence; adjuvant therapy; cancer patient; disease free survival; cancer staging; follow up; antineoplastic agent; preoperative evaluation; computer assisted tomography; image analysis; cohort analysis; medical record review; retrospective study; prediction; liver metastasis; quantitative analysis; colon cancer; adjuvant chemotherapy; liver parenchyma; data analysis software; perineural invasion; hospital based case control study; hepatography; lymph vessel metastasis; human; male; female; article; patient history of chemotherapy; multidimensional scaling; radiomics
Journal Title: Annals of Surgical Oncology
Volume: 28
Issue: 4
ISSN: 1068-9265
Publisher: Springer  
Date Published: 2021-04-01
Start Page: 1982
End Page: 1989
Language: English
DOI: 10.1245/s10434-020-09134-w
PUBMED: 32954446
PROVIDER: scopus
PMCID: PMC7940539
DOI/URL:
Notes: Article -- Export Date: 1 April 2021 -- Source: Scopus
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Citation Impact
MSK Authors
  1. Joanne Fu-Lou Chou
    295 Chou
  2. Mithat Gonen
    957 Gonen
  3. Martin R Weiser
    490 Weiser
  4. William R Jarnagin
    815 Jarnagin
  5. Kinh Gian Do
    224 Do
  6. T Peter Kingham
    531 Kingham
  7. Amber L Simpson
    63 Simpson
  8. Kristen   Cunanan
    16 Cunanan
  9. John Creasy
    15 Creasy
  10. Jeffrey Adam Drebin
    118 Drebin