Computerized segmentation and measurement of malignant pleural mesothelioma.
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| Title: | Computerized segmentation and measurement of malignant pleural mesothelioma. |
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| Authors: | Sensakovic, William F.1, Armato, Samuel G.1, Straus, Christopher1, Roberts, Rachael Y.1, Caligiuri, Philip1, Starkey, Adam1, Kindler, Hedy L.1 |
| Source: | Medical Physics. Jan2011, Vol. 38 Issue 1, p238-244. 7p. |
| Subjects: | Mesothelioma, Cancer treatment, Treatment effectiveness, Cancer invasiveness, Volumetric analysis, Lung cancer, Tomography, Medical radiography, Medical imaging systems |
| Abstract: | Purpose: The current linear method to track tumor progression and evaluate treatment efficacy is insufficient for malignant pleural mesothelioma (MPM). A volumetric method for tumor measurement could improve the evaluation of novel treatments, but a fully manual implementation of volume measurement is too tedious and time-consuming. This manuscript presents a computerized method for the three-dimensional segmentation and volumetric analysis of MPM. Methods: The computerized MPM segmentation method segments the lung parenchyma and hemithoracic cavities to define the pleural space. Nonlinear diffusion and a k-means classifier are then implemented to identify MPM in the pleural space. A database of 31 computed tomography scans from 31 patients with pathologically confirmed MPM was retrospectively collected. Three observers independently outlined five randomly selected sections in each scan. The Jaccard similarity coefficient (J) between each of the observers and between the observer-defined and computer-defined segmentations was calculated. The computer-defined and the observer-defined segmentation areas (averaged over all observers) were both calculated for each axial section and compared using Bland-Altman plots. Results: The median J value among observers averaged over all sections was 0.517. The median J between the computer-defined and manual segmentations was 0.484. The difference between these values was not statistically significant. The area delineated by the computerized method demonstrated variability and bias comparable to the tumor area calculated from manual delineations. Conclusions: A computerized method for segmentation and measurement of MPM was developed. This method requires minimal initialization by the user and demonstrated good agreement with manually drawn outlines and area measurements. This method will allow volumetric tracking of tumor progression and may improve the evaluation of novel MPM treatments. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 56911505 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computerized segmentation and measurement of malignant pleural mesothelioma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sensakovic%2C+William+F%2E%22">Sensakovic, William F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Armato%2C+Samuel+G%2E%22">Armato, Samuel G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Straus%2C+Christopher%22">Straus, Christopher</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Roberts%2C+Rachael+Y%2E%22">Roberts, Rachael Y.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Caligiuri%2C+Philip%22">Caligiuri, Philip</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Starkey%2C+Adam%22">Starkey, Adam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kindler%2C+Hedy+L%2E%22">Kindler, Hedy L.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jan2011, Vol. 38 Issue 1, p238-244. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mesothelioma%22">Mesothelioma</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+treatment%22">Cancer treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effectiveness%22">Treatment effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+invasiveness%22">Cancer invasiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Volumetric+analysis%22">Volumetric analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Lung+cancer%22">Lung cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+radiography%22">Medical radiography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+imaging+systems%22">Medical imaging systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: The current linear method to track tumor progression and evaluate treatment efficacy is insufficient for malignant pleural mesothelioma (MPM). A volumetric method for tumor measurement could improve the evaluation of novel treatments, but a fully manual implementation of volume measurement is too tedious and time-consuming. This manuscript presents a computerized method for the three-dimensional segmentation and volumetric analysis of MPM. Methods: The computerized MPM segmentation method segments the lung parenchyma and hemithoracic cavities to define the pleural space. Nonlinear diffusion and a k-means classifier are then implemented to identify MPM in the pleural space. A database of 31 computed tomography scans from 31 patients with pathologically confirmed MPM was retrospectively collected. Three observers independently outlined five randomly selected sections in each scan. The Jaccard similarity coefficient (J) between each of the observers and between the observer-defined and computer-defined segmentations was calculated. The computer-defined and the observer-defined segmentation areas (averaged over all observers) were both calculated for each axial section and compared using Bland-Altman plots. Results: The median J value among observers averaged over all sections was 0.517. The median J between the computer-defined and manual segmentations was 0.484. The difference between these values was not statistically significant. The area delineated by the computerized method demonstrated variability and bias comparable to the tumor area calculated from manual delineations. Conclusions: A computerized method for segmentation and measurement of MPM was developed. This method requires minimal initialization by the user and demonstrated good agreement with manually drawn outlines and area measurements. This method will allow volumetric tracking of tumor progression and may improve the evaluation of novel MPM treatments. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1118/1.3525836 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 238 Subjects: – SubjectFull: Mesothelioma Type: general – SubjectFull: Cancer treatment Type: general – SubjectFull: Treatment effectiveness Type: general – SubjectFull: Cancer invasiveness Type: general – SubjectFull: Volumetric analysis Type: general – SubjectFull: Lung cancer Type: general – SubjectFull: Tomography Type: general – SubjectFull: Medical radiography Type: general – SubjectFull: Medical imaging systems Type: general Titles: – TitleFull: Computerized segmentation and measurement of malignant pleural mesothelioma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sensakovic, William F. – PersonEntity: Name: NameFull: Armato, Samuel G. – PersonEntity: Name: NameFull: Straus, Christopher – PersonEntity: Name: NameFull: Roberts, Rachael Y. – PersonEntity: Name: NameFull: Caligiuri, Philip – PersonEntity: Name: NameFull: Starkey, Adam – PersonEntity: Name: NameFull: Kindler, Hedy L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 38 – Type: issue Value: 1 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |
