Semi-automated volumetric quantification of tumor necrosis in soft tissue sarcoma using contrast-enhanced MRI

Wayne L. Monsky, Bedro Jin, Chris Molloy, Robert J Canter, Chin-Shang Li, Tzu C. Lin, Daniel Borys, Walter Mack, Isaac Kim, Michael H. Buonocore, Abhijit Chaudhari

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Background: Response Evaluation Criteria in Solid Tumors (RECIST)-defined measurements are limited when evaluating soft tissue sarcoma (STS) response to therapy. Histopathological assessment of STS response requires a determination of necrosis following resection. A novel semi-automated technique for volumetric measurement of tumor necrosis, using enhanced magnetic resonance imaging (CE-MRI), is described. Patients and Methods: Eighteen patients with STS were treated with neoadjuvant therapy and then resected. CE-MRI, obtained prior to resection, were evaluated by two observers using semiautomated segmentation. Tumor volume and percent necrosis was compared with histology and RECIST measurements. Results: The median percent necrosis, determined histologically and from CE-MRI, was 71.9% and 67.8%, respectively. Accuracy of these semi-automated measurements was confirmed, being statistically similar to those obtained at histopathological assessment of the resected tumor. High Intra-class correlation co-efficients suggest good inter-observer reproducibility. Tumor necrosis did not correlate with the RECIST measurements. Conclusion: Semi-automated determination of tumor volume and necrosis, using CE-MRI, is suggested to be accurate and reproducible.

Original languageEnglish (US)
Pages (from-to)4951-4962
Number of pages12
JournalAnticancer Research
Issue number11
StatePublished - Nov 2012


  • Magnetic resonance imaging
  • Necrosis
  • Sarcoma
  • Segmentation

ASJC Scopus subject areas

  • Cancer Research
  • Oncology


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