Literature DB >> 19561260

Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer.

Binsheng Zhao1, Leonard P James, Chaya S Moskowitz, Pingzhen Guo, Michelle S Ginsberg, Robert A Lefkowitz, Yilin Qin, Gregory J Riely, Mark G Kris, Lawrence H Schwartz.   

Abstract

PURPOSE: To evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients with non-small cell lung cancer.
MATERIALS AND METHODS: This HIPAA-compliant study was approved by the institutional review board, with informed patient consent. Thirty-two patients with non-small cell lung cancer, each of whom underwent two CT scans of the chest within 15 minutes by using the same imaging protocol, were included in this study. Three radiologists independently measured the two greatest diameters of each lesion on both scans and, during another session, measured the same tumors on the first scan. In a separate analysis, computer software was applied to assist in the calculation of the two greatest diameters and the volume of each lesion on both scans. Concordance correlation coefficients (CCCs) and Bland-Altman plots were used to assess the agreements between the measurements of the two repeat scans (reproducibility) and between the two repeat readings of the same scan (repeatability).
RESULTS: The reproducibility and repeatability of the three radiologists' measurements were high (all CCCs, >or=0.96). The reproducibility of the computer-aided measurements was even higher (all CCCs, 1.00). The 95% limits of agreements for the computer-aided unidimensional, bidimensional, and volumetric measurements on two repeat scans were (-7.3%, 6.2%), (-17.6%, 19.8%), and (-12.1%, 13.4%), respectively.
CONCLUSION: Chest CT scans are well reproducible. Changes in unidimensional lesion size of 8% or greater exceed the measurement variability of the computer method and can be considered significant when estimating the outcome of therapy in a patient. (c) RSNA, 2009.

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Year:  2009        PMID: 19561260      PMCID: PMC2797680          DOI: 10.1148/radiol.2522081593

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  21 in total

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2.  Lung cancer: computerized quantification of tumor response--initial results.

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5.  Evaluation of tumor measurements in oncology: use of film-based and electronic techniques.

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8.  Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.

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9.  Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.

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10.  Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.

Authors:  Michael F McNitt-Gray; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Marios A Gavrielides; Charles Fenimore; Geoffrey McLennan; Nicholas Petrick; Binsheng Zhao; Anthony P Reeves; Reinhard Beichel; Hyun-Jung Grace Kim; Lisa Kinnard
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

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