Literature DB >> 20416484

Quantitative methodology using CT for predicting survival in patients with metastatic colorectal carcinoma: a pilot study.

Ronald H Gottlieb1, Cheryl Raczyk, Timothy Hanna, Ahmad Fora, Wei Tan, Rahul Nayyar, Marwan Fakih.   

Abstract

OBJECTIVE: To develop a methodology which quantifies multiple changing lesion features resulting in an optimized computed tomography (CT) response score (CRS) for prediction of overall survival (OS) in response to treatment for metastatic colorectal carcinoma (MCRC). SUBJECTS AND METHODS: This Health Insurance Portability and Accountability Act-compliant, institutional review board-approved retrospective study evaluated multiple changing imaging findings and their correlation with OS with a new methodology comparing the baseline and first post-treatment CT scans in 38 MCRC patients on last-line chemotherapy (cetuximab and irinotecan). Tumor size/enhancement changes and interval development of new lesions were quantified with either Likert-type scales (all parameters) or Response Evaluation Criteria in Solid Tumors (RECIST) (size change only). The most predictive parameters for OS were used to generate the CRS with an overall range of -3 (complete disappearance) to +2 (definite tumor increase). The Cox Hazard Ratio was used to assess prediction of survival. Reader agreement was evaluated by the kappa statistic.
RESULTS: Tumor size was the best predictor of OS using the Likert-type scale or RECIST. The CRS was not improved combining size change with other parameters. Use of the Likert-type scale resulted in predicting OS with a Cox hazard ratio of 1.697 (P=.0004) and good agreement (kappa=0.73, 95% CI=0.41-1.10) between observers with no significant difference using RECIST.
CONCLUSION: The methodology produces a CRS for MCRC predicting OS resulting from therapy which expands standard RECIST guidelines to allow critical evaluation of multiple additional imaging parameters. Size change alone was found to be the best parameter of those considered in terms of maximizing agreement and prediction of OS.

Entities:  

Mesh:

Year:  2010        PMID: 20416484     DOI: 10.1016/j.clinimag.2010.01.002

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  2 in total

1.  [Systemic therapy of renal cell carcinoma].

Authors:  M Staehler; C Tüllmann; P Nuhn; N Haseke; C G Stief
Journal:  Urologe A       Date:  2010-12       Impact factor: 0.639

2.  Quantified visual scoring of metastatic melanoma patient treatment response using computed tomography: improving on the current standard.

Authors:  Ronald H Gottlieb; Elizabeth Krupinski; Pavani Chalasani; Lee Cranmer
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.