The prognostic utility of the “Tumor Burden Score” based on preoperative radiographic features of colorectal liver metastases

Kazunari Sasaki, Georgios A. Margonis, Nikolaos Andreatos, Xu Feng Zhang, Stefan Buettner, Jaeyun Wang, Amar Deshwar, Jin He, Christopher L. Wolfgang, Matthew Weiss, Timothy M. Pawlik

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Background: Recently, a tumor-burden “metro ticket” score (TBS) based on final pathology was proposed to predict outcome following resection of colorectal liver metastasis (CRLM). We sought to validate the TBS prognostic tool using preoperative radiologic cross-sectional imaging. Methods: Imaging TBS was defined on a Cartesian plane that incorporated both maximum tumor size (x-axis) and lesion number (y-axis) assessed by pre-operative imaging. The discriminatory power (area under the curve [AUC]) and goodness-of-fit (Harrel's C statistic and Somer's D statistics) of the imaging TBS model was assessed. Results: Imaging and pathologic TBS correlated strongly (r = 0.76, P < 0.01). Among patients treated with neoadjuvant therapy, the correlation was strongest among patients with progressive disease/stable disease (PD/SD) (r = 0.81). Discriminatory power of the imaging-based versus pathology-based TBS models were comparable (AUC 0.64 vs. 0.67, respectively P > 0.05). An incremental worsening of long-term survival was noted as the imaging TBS increased (5-year OS: Zone1, Zone2, and Zone3—61.3%, 46.7%, and 38.5%, respectively; P = 0.03). The imaging-based TBS model outperformed the “classic” pathology-based Fong score (Harrel's C-index: imaging TBS-0.56 vs. Fong score-0.53; Somers'D-index: imaging TBS-012 vs. Fong score-0.06). Conclusions: Imaging-based TBS was superior to traditional tumor size and number and was comparable to pathology-based TBS. Imaging-based TBS may have the potential to facilitate improved preoperative risk stratification of patients with CRLM.

Original languageEnglish (US)
Pages (from-to)515-523
Number of pages9
JournalJournal of Surgical Oncology
Issue number4
StatePublished - Sep 15 2017


  • TBS
  • imaging
  • prognosis

ASJC Scopus subject areas

  • Surgery
  • Oncology


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