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OncoSurge: a strategy for improving resectability with curative intent in metastatic colorectal cancer

OncoSurge: a strategy for improving resectability with curative intent in metastatic colorectal cancer
OncoSurge: a strategy for improving resectability with curative intent in metastatic colorectal cancer
PURPOSE: Most patients with colorectal liver metastases present to general surgeons and oncologists without a specialist interest in their management. Since treatment strategy is frequently dependent on the response to earlier treatments, our aim was to create a therapeutic decision model identifying appropriate procedure sequences.
METHODS: We used the RAND Corporation/University of California, Los Angeles Appropriateness Method (RAM) assessing strategies of resection, local ablation and chemotherapy. After a comprehensive literature review, an expert panel rated appropriateness of each treatment option for a total of 1,872 ratings decisions in 252 cases. A decision model was constructed, consensus measured and results validated using 48 virtual cases, and 34 real cases with known outcomes.
RESULTS: Consensus was achieved with overall agreement rates of 93.4 to 99.1%. Absolute resection contraindications included unresectable extrahepatic disease, more than 70% liver involvement, liver failure, and being surgically unfit. Factors not influencing treatment strategy were age, primary tumor stage, timing of metastases detection, past blood transfusion, liver resection type, pre-resection carcinoembryonic antigen (CEA), and previous hepatectomy. Immediate resection was appropriate with adequate radiologically-defined resection margins and no portal adenopathy; other factors included presence of 4 or > 4 metastases and unilobar or bilobar involvement. Resection was appropriate postchemotherapy, independent of tumor response in the case of 4 metastases and unilobar liver involvement. Resection was appropriate only for > 4 metastases or bilobar liver involvement, after tumor shrinkage with chemotherapy. When possible, resection was preferred to local ablation.
CONCLUSION: The results were incorporated into a decision matrix, creating a computer program (OncoSurge). This model identifies individual patient resectability, recommending optimal treatment strategies. It may also be used for medical education.
1527-7755
7125-7134
Poston, Graeme J.
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Adam, René
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Alberts, Steven
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Curley, Steven
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Figueras, Juan
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Haller, Daniel
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Kunstlinger, Francis
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Mentha, Gilles
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Nordlinger, Bernard
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Patt, Yehuda
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Primrose, John
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Roh, Mark
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Rougier, Philippe
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Ruers, Theo
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Schmoll, Hans Joachim
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Valls, Carlos
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Vauthey, Nick Jean-Nicolas
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Cornelis, Marleen
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Kahan, James P.
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Poston, Graeme J.
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Adam, René
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Alberts, Steven
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Curley, Steven
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Figueras, Juan
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Haller, Daniel
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Kunstlinger, Francis
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Mentha, Gilles
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Nordlinger, Bernard
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Patt, Yehuda
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Primrose, John
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Roh, Mark
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Rougier, Philippe
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Ruers, Theo
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Schmoll, Hans Joachim
43117f08-cb44-4722-aa44-ccafbfe2cede
Valls, Carlos
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Vauthey, Nick Jean-Nicolas
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Cornelis, Marleen
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Kahan, James P.
687610c8-e87d-4e0e-9d45-c736d33fcd4e

Poston, Graeme J., Adam, René, Alberts, Steven, Curley, Steven, Figueras, Juan, Haller, Daniel, Kunstlinger, Francis, Mentha, Gilles, Nordlinger, Bernard, Patt, Yehuda, Primrose, John, Roh, Mark, Rougier, Philippe, Ruers, Theo, Schmoll, Hans Joachim, Valls, Carlos, Vauthey, Nick Jean-Nicolas, Cornelis, Marleen and Kahan, James P. (2005) OncoSurge: a strategy for improving resectability with curative intent in metastatic colorectal cancer. Journal of Clinical Oncology, 23 (28), 7125-7134. (doi:10.1200/JCO.2005.08.722).

Record type: Article

Abstract

PURPOSE: Most patients with colorectal liver metastases present to general surgeons and oncologists without a specialist interest in their management. Since treatment strategy is frequently dependent on the response to earlier treatments, our aim was to create a therapeutic decision model identifying appropriate procedure sequences.
METHODS: We used the RAND Corporation/University of California, Los Angeles Appropriateness Method (RAM) assessing strategies of resection, local ablation and chemotherapy. After a comprehensive literature review, an expert panel rated appropriateness of each treatment option for a total of 1,872 ratings decisions in 252 cases. A decision model was constructed, consensus measured and results validated using 48 virtual cases, and 34 real cases with known outcomes.
RESULTS: Consensus was achieved with overall agreement rates of 93.4 to 99.1%. Absolute resection contraindications included unresectable extrahepatic disease, more than 70% liver involvement, liver failure, and being surgically unfit. Factors not influencing treatment strategy were age, primary tumor stage, timing of metastases detection, past blood transfusion, liver resection type, pre-resection carcinoembryonic antigen (CEA), and previous hepatectomy. Immediate resection was appropriate with adequate radiologically-defined resection margins and no portal adenopathy; other factors included presence of 4 or > 4 metastases and unilobar or bilobar involvement. Resection was appropriate postchemotherapy, independent of tumor response in the case of 4 metastases and unilobar liver involvement. Resection was appropriate only for > 4 metastases or bilobar liver involvement, after tumor shrinkage with chemotherapy. When possible, resection was preferred to local ablation.
CONCLUSION: The results were incorporated into a decision matrix, creating a computer program (OncoSurge). This model identifies individual patient resectability, recommending optimal treatment strategies. It may also be used for medical education.

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Published date: 2005
Additional Information: Presented previously at the 40th Annual Meeting of the American Society of Clinical Oncology, New Orleans, LA, June 5-8, 2004; the 29th Annual Meeting of the Euproean Society of Medical Oncology, Vienna, Austria, October 29-November 2, 2004; and the American Society of Clinical Oncology Gastrointestinal Cancers Symposium, Hollywood, FL, January 27-29, 2005.

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Local EPrints ID: 26534
URI: http://eprints.soton.ac.uk/id/eprint/26534
ISSN: 1527-7755
PURE UUID: fc340e2d-79f4-4ed3-9f36-beca5783118a
ORCID for John Primrose: ORCID iD orcid.org/0000-0002-2069-7605

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Date deposited: 20 Apr 2006
Last modified: 16 Mar 2024 02:47

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Contributors

Author: Graeme J. Poston
Author: René Adam
Author: Steven Alberts
Author: Steven Curley
Author: Juan Figueras
Author: Daniel Haller
Author: Francis Kunstlinger
Author: Gilles Mentha
Author: Bernard Nordlinger
Author: Yehuda Patt
Author: John Primrose ORCID iD
Author: Mark Roh
Author: Philippe Rougier
Author: Theo Ruers
Author: Hans Joachim Schmoll
Author: Carlos Valls
Author: Nick Jean-Nicolas Vauthey
Author: Marleen Cornelis
Author: James P. Kahan

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