Literature DB >> 16530882

Modeling of mesothelioma growth demonstrates weaknesses of current response criteria.

Geoffrey R Oxnard1, Samuel G Armato, Hedy L Kindler.   

Abstract

Applicability of the Response Evaluation Criteria in Solid Tumors (RECIST) to the geometry of mesothelioma has been recently investigated. A "modified RECIST" measurement technique developed for mesothelioma proposes measurement of tumor thickness rather than maximum diameter. This study evaluated the volumetric consistency of the RECIST response criteria as applied to the modified RECIST measurement technique. Geometric models were developed to simulate mesothelioma growth, and measurements of these models were calculated. Relationships between change in model measurements and corresponding change in model volume were derived and evaluated. Application of the RECIST response criteria to the typical spherical tumor model results in partial response (PR) classification based on a 66% volume decrease and progressive disease (PD) based on a 73% volume increase; for mesothelioma model thickness measurements, the RECIST criteria result in PR classification based on a 30% volume decrease and PD based on a 20% volume increase. Alternative response criteria for mesothelioma thickness measurement (-66% for PR, +74% for PD) achieve volumetric equivalence with the RECIST criteria for spherical tumor measurement. Application of the RECIST response criteria to mesothelioma thickness measurements yields PR and PD classifications based on smaller volume changes than for spherical tumors.

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Year:  2006        PMID: 16530882     DOI: 10.1016/j.lungcan.2005.12.013

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  13 in total

1.  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

2.  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

3.  Quantitative analyses at baseline and interim PET evaluation for response assessment and outcome definition in patients with malignant pleural mesothelioma.

Authors:  Egesta Lopci; Paolo Andrea Zucali; Giovanni Luca Ceresoli; Matteo Perrino; Laura Giordano; Letizia Gianoncelli; Elena Lorenzi; Maria Gemelli; Armando Santoro; Arturo Chiti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-11-18       Impact factor: 9.236

Review 4.  Management of malignant pleural mesothelioma-The European experience.

Authors:  Isabelle Opitz
Journal:  J Thorac Dis       Date:  2014-05       Impact factor: 2.895

5.  Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans.

Authors:  Eyjolfur Gudmundsson; Christopher M Straus; Samuel G Armato
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-24

6.  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

7.  Treatment of Malignant Pleural Mesothelioma: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Hedy L Kindler; Nofisat Ismaila; Samuel G Armato; Raphael Bueno; Mary Hesdorffer; Thierry Jahan; Clyde Michael Jones; Markku Miettinen; Harvey Pass; Andreas Rimner; Valerie Rusch; Daniel Sterman; Anish Thomas; Raffit Hassan
Journal:  J Clin Oncol       Date:  2018-01-18       Impact factor: 44.544

8.  Dynamic contrast-enhanced CT for the assessment of tumour response in malignant pleural mesothelioma: a pilot study.

Authors:  Eyjolfur Gudmundsson; Zacariah Labby; Christopher M Straus; William F Sensakovic; Feng Li; Buerkley Rose; Alexandra Cunliffe; Hedy L Kindler; Samuel G Armato
Journal:  Eur Radiol       Date:  2018-07-02       Impact factor: 5.315

Review 9.  Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group.

Authors:  Samuel G Armato; Kevin G Blyth; Jane J Keating; Sharyn Katz; Selina Tsim; Johan Coolen; Eyjolfur Gudmundsson; Isabelle Opitz; Anna K Nowak
Journal:  Lung Cancer       Date:  2016-09-05       Impact factor: 5.705

10.  Disease volumes as a marker for patient response in malignant pleural mesothelioma.

Authors:  Z E Labby; A K Nowak; J J Dignam; C Straus; H L Kindler; S G Armato
Journal:  Ann Oncol       Date:  2012-11-08       Impact factor: 32.976

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