Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases Journal Article

   


Authors: Simpson, A. L.; Peoples, J.; Creasy, J. M.; Fichtinger, G.; Gangai, N.; Keshavamurthy, K. N.; Lasso, A.; Shia, J.; D’Angelica, M. I.; Do, R. K. G.
Article Title: Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases
Abstract: The liver is a common site for the development of metastases in colorectal cancer. Treatment selection for patients with colorectal liver metastases (CRLM) is difficult; although hepatic resection will cure a minority of CRLM patients, recurrence is common. Reliable preoperative prediction of recurrence could therefore be a valuable tool for physicians in selecting the best candidates for hepatic resection in the treatment of CRLM. It has been hypothesized that evidence for recurrence could be found via quantitative image analysis on preoperative CT imaging of the future liver remnant before resection. To investigate this hypothesis, we have collected preoperative hepatic CT scans, clinicopathologic data, and recurrence/survival data, from a large, single-institution series of patients (n = 197) who underwent hepatic resection of CRLM. For each patient, we also created segmentations of the liver, vessels, tumors, and future liver remnant. The largest of its kind, this dataset is a resource that may aid in the development of quantitative imaging biomarkers and machine learning models for the prediction of post-resection hepatic recurrence of CRLM. © The Author(s) 2024.
Keywords: liver neoplasms; tomography, x-ray computed; pathology; colorectal neoplasms; colorectal tumor; liver tumor; hepatectomy; humans; human; x-ray computed tomography
Journal Title: Scientific Data
Volume: 11
ISSN: 2052-4463
Publisher: Nature Publishing Group  
Date Published: 2024-02-06
Language: English
DOI: 10.1038/s41597-024-02981-2
PUBMED: 38321027
PROVIDER: scopus
PMCID: PMC10847495
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184536513&doi=10.1038%2fs41597-024-02981-2&partnerID=40&md5=6ac1394b0f94089bcace579eb30b54e5
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Source: Scopus
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MSK Authors
  1. Jinru Shia
    720 Shia
  2. Kinh Gian Do
    257 Do
  3. Michael D'Angelica
    778 D'Angelica
  4. Natalie Gangai
    61 Gangai
  5. Krishna Nand Keshava Murthy
    14 Keshava Murthy
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