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A Reply to Bertolaccini et al.

A Reply to Bertolaccini et al. LETTERS TO THE EDITOR Considering the cut-off level as poor clinical and modeling practice. We The Importance of  positive or negative could further enhance did not rely on SUV for nodule avidity as Being Solid or Partially  the capability to detect malignancies. two-thirds of patients in the development cohort did not report a SUV but rather Solid for a Solitary  the reader’s impression of the nodule. Luca Bertolaccini, MD, PhD, FCCP, The institutions used in our study rarely Pulmonary Nodule Alberto Terzi, MD 2–4 report SUV for various reasons. We Thoracic Surgery Unit conducted sensitivity analysis by group- Sacro Cuore Research Hospital To the Editor: ing the four categories of avidity into Negrar Verona, Italy We read with interest the article different combinations, and we reported Matteo Salgarello, MD of Stephen A. Deppen et al. about the best prediction model that cross-val- Nuclear Medicine Unit the development and validation of the idated in our data. These analyses were Sacro Cuore Research Hospital Thoracic Research Evaluation And not included in the original article due to Negrar Verona, Italy Treatment lung cancer prediction space limitations. From a purely statis- model. One of the variables used in the tical stand point, considering SUV as a model was the 18F-fluorodeoxyglucose possibly nonlinear http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Thoracic Oncology Wolters Kluwer Health

A Reply to Bertolaccini et al.

Grogan, Eric L.
Journal of Thoracic Oncology , Volume 10 (2) – Feb 1, 2015
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Copyright
Copyright © 2014 by the International Association for the Study of Lung Cancer
ISSN
1556-0864
DOI
10.1097/JTO.0000000000000440
pmid
25611234
Publisher site
See Article on Publisher Site

Abstract

LETTERS TO THE EDITOR Considering the cut-off level as poor clinical and modeling practice. We The Importance of  positive or negative could further enhance did not rely on SUV for nodule avidity as Being Solid or Partially  the capability to detect malignancies. two-thirds of patients in the development cohort did not report a SUV but rather Solid for a Solitary  the reader’s impression of the nodule. Luca Bertolaccini, MD, PhD, FCCP, The institutions used in our study rarely Pulmonary Nodule Alberto Terzi, MD 2–4 report SUV for various reasons. We Thoracic Surgery Unit conducted sensitivity analysis by group- Sacro Cuore Research Hospital To the Editor: ing the four categories of avidity into Negrar Verona, Italy We read with interest the article different combinations, and we reported Matteo Salgarello, MD of Stephen A. Deppen et al. about the best prediction model that cross-val- Nuclear Medicine Unit the development and validation of the idated in our data. These analyses were Sacro Cuore Research Hospital Thoracic Research Evaluation And not included in the original article due to Negrar Verona, Italy Treatment lung cancer prediction space limitations. From a purely statis- model. One of the variables used in the tical stand point, considering SUV as a model was the 18F-fluorodeoxyglucose possibly nonlinear

Journal

Journal of Thoracic Oncology – Wolters Kluwer Health

Published: Feb 1, 2015

References

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    Deppen
  • SUV: standard uptake or silly useless value?
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    Delbeke
  • From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors
    Wahl
  • Accuracy of fluorodeoxyglucose-positron emission tomography within the clinical practice of the American College of Surgeons Oncology Group Z4031 trial to diagnose clinical stage I non-small cell lung cancer
    Grogan
  • Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis
    Deppen