Literature DB >> 15191298

Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques.

Samuel G Armato1, Geoffrey R Oxnard, Heber MacMahon, Nicholas J Vogelzang, Hedy L Kindler, Masha Kocherginsky, Adam Starkey.   

Abstract

Our purpose in this study was to evaluate the variability of manual mesothelioma tumor thickness measurements in computed tomography (CT) scans and to assess the relative performance of six computerized measurement algorithms. The CT scans of 22 patients with malignant pleural mesothelioma were collected. In each scan, an initial observer identified up to three sites in each of three CT sections at which tumor thickness measurements were to be made. At each site, five observers manually measured tumor thickness through a computer interface. Three observers repeated these measurements during three separate sessions. Inter- and intra-observer variability in the manual measurement of tumor thickness was assessed. Six automated measurement algorithms were developed based on the geometric relationship between a specified measurement site and the automatically extracted lung regions. Computer-generated measurements were compared with manual measurements. The tumor thickness measurements of different observers were highly correlated (r > or = 0.99); however, the 95% limits of agreement for relative inter-observer difference spanned a range of 30%. Tumor thickness measurements generated by the computer algorithms also correlated highly with the average of observer measurements (r > or = 0.93). We have developed computerized techniques for the measurement of mesothelioma tumor thickness in CT scans. These techniques achieved varying levels of agreement with measurements made by human observers.

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Year:  2004        PMID: 15191298     DOI: 10.1118/1.1688211

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  18 in total

1.  BTS statement on malignant mesothelioma in the UK, 2007.

Authors: 
Journal:  Thorax       Date:  2007-11       Impact factor: 9.139

2.  Variability of tumor area measurements for response assessment in malignant pleural mesothelioma.

Authors:  Zacariah E Labby; Christopher Straus; Philip Caligiuri; Heber MacMahon; Ping Li; Alexandra Funaki; Hedy L Kindler; Samuel G Armato
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

3.  Computerized segmentation and measurement of malignant pleural mesothelioma.

Authors:  William F Sensakovic; Samuel G Armato; Christopher Straus; Rachael Y Roberts; Philip Caligiuri; Adam Starkey; Hedy L Kindler
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

Review 4.  Volumetric assessment in malignant pleural mesothelioma.

Authors:  David J Murphy; Ritu R Gill
Journal:  Ann Transl Med       Date:  2017-06

5.  Variability of lung tumor measurements on repeat computed tomography scans taken within 15 minutes.

Authors:  Geoffrey R Oxnard; Binsheng Zhao; Camelia S Sima; Michelle S Ginsberg; Leonard P James; Robert A Lefkowitz; Pingzhen Guo; Mark G Kris; Lawrence H Schwartz; Gregory J Riely
Journal:  J Clin Oncol       Date:  2011-07-05       Impact factor: 44.544

6.  Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion.

Authors:  Eyjolfur Gudmundsson; Christopher M Straus; Feng Li; Samuel G Armato
Journal:  J Med Imaging (Bellingham)       Date:  2020-01-29

7.  Evaluation of a method for projection-based tissue-activity estimation within small volumes of interest.

Authors:  Sudeepti Southekal; Sarah J McQuaid; Marie Foley Kijewski; Stephen C Moore
Journal:  Phys Med Biol       Date:  2012-01-13       Impact factor: 3.609

8.  Optimization of response classification criteria for patients with malignant pleural mesothelioma.

Authors:  Zacariah E Labby; Samuel G Armato; Hedy L Kindler; James J Dignam; Arman Hasani; Anna K Nowak
Journal:  J Thorac Oncol       Date:  2012-11       Impact factor: 15.609

9.  Lung volume measurements as a surrogate marker for patient response in malignant pleural mesothelioma.

Authors:  Zacariah E Labby; Samuel G Armato; James J Dignam; Christopher Straus; Hedy L Kindler; Anna K Nowak
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

10.  North American Multicenter Volumetric CT Study for Clinical Staging of Malignant Pleural Mesothelioma: Feasibility and Logistics of Setting Up a Quantitative Imaging Study.

Authors:  Ritu R Gill; David P Naidich; Alan Mitchell; Michelle Ginsberg; Jeremy Erasmus; Samuel G Armato; Christopher Straus; Sharyn Katz; Demetrois Patios; William G Richards; Valerie W Rusch
Journal:  J Thorac Oncol       Date:  2016-05-12       Impact factor: 15.609

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