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ASO Author Reflections: Identification of Intrahepatic Cholangiocarcinoma Clusters Using Machine Learning Techniques: Should Patients be Treated Differently?

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References

  1. Wu L, Tsilimigras DI, Paredes AZ, et al. Trends in the incidence, treatment and outcomes of patients with intrahepatic cholangiocarcinoma in the USA: facility type is associated with margin status, use of lymphadenectomy and overall survival. World J Surg. 2019;43(7):1777–787.

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  2. Tsilimigras DI, Mehta R, Aldrighetti L, et al. Development and validation of a laboratory risk score (LabScore) to predict outcomes after resection for intrahepatic cholangiocarcinoma. J Am Coll Surg. 2020;230(4):381–91 e382.

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  3. Tsilimigras DI, Mehta R, Moris D, et al. A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients. Ann Surg Oncol. 2020;27(4):1110–119.

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  4. Tsilimigras DI, Hyer JM, Paredes AZ, et al. A Novel classification of intrahepatic cholangiocarcinoma phenotypes using machine learning techniques: an international multi-institutional analysis. Ann Surg Oncol. 2020. https://doi.org/10.1245/s10434-020-08696-z.

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Authors and Affiliations

  1. Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA

    Diamantis I. Tsilimigras MD, Anghela Z. Paredes MD, MS, MPH & Timothy M. Pawlik MD, MPH, MTS, PhD

Authors
  1. Diamantis I. Tsilimigras MD
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  2. Anghela Z. Paredes MD, MS, MPH
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  3. Timothy M. Pawlik MD, MPH, MTS, PhD
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Corresponding author

Correspondence to Timothy M. Pawlik MD, MPH, MTS, PhD.

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Disclosures

Diamantis I. Tsilimigras, Anghela Z. Paredes, and Timothy M. Pawlik have no conflicts of interest to disclose.

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ASO Author Reflections is a brief invited commentary on the article “A Novel Classification of Intrahepatic Cholangiocarcinoma Phenotypes Using Machine Learning Techniques: An International Multi-Institutional Analysis”, Ann Surg Oncol. 2020. https://doi.org/10.1245/s10434-020-08696-z.

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Tsilimigras, D.I., Paredes, A.Z. & Pawlik, T.M. ASO Author Reflections: Identification of Intrahepatic Cholangiocarcinoma Clusters Using Machine Learning Techniques: Should Patients be Treated Differently?. Ann Surg Oncol 27, 5233–5234 (2020). https://doi.org/10.1245/s10434-020-08697-y

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  • DOI: https://doi.org/10.1245/s10434-020-08697-y

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