Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis
•Head and neck patients are often affected by streak and beam hardening artifacts, impacting their inclusion in studies.•Streak artifacts impact the majority of radiomics features’ values.•Contours of structures can abut bone without affecting most radiomics features’ values if needed.•Most features...
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Published in | Computerized medical imaging and graphics Vol. 69; pp. 134 - 139 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Ltd
01.11.2018
Elsevier Science Ltd |
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Abstract | •Head and neck patients are often affected by streak and beam hardening artifacts, impacting their inclusion in studies.•Streak artifacts impact the majority of radiomics features’ values.•Contours of structures can abut bone without affecting most radiomics features’ values if needed.•Most features were robust with up to 50% of the original tumor volume removed.•More patients’ head and neck CTs can be used in radiomics studies by simply removing slices affected by streak artifacts.
Radiomics studies have demonstrated the potential use of quantitative image features to improve prognostic stratification of patients with head and neck cancer. Imaging protocol parameters that can affect radiomics feature values have been investigated, but the effects of artifacts caused by intrinsic patient factors have not. Two such artifacts that are common in patients with head and neck cancer are streak artifacts caused by dental fillings and beam-hardening artifacts caused by bone. The purpose of this study was to test the impact of these artifacts and if needed, methods for compensating for these artifacts in head and neck radiomics studies. The robustness of feature values was tested by removing slices of the gross tumor volume (GTV) on computed tomography images from 30 patients with head and neck cancer; these images did not have streak artifacts or had artifacts far from the GTV. The range of each feature value over a percentage of the GTV was compared to the inter-patient variability at full volume. To determine the effects of beam-hardening artifacts, we scanned a phantom with 5 cartridges of different materials encased in polystyrene buildup. A cylindrical hole through the cartridges contained either a rod of polylactic acid to simulate water or a rod of polyvinyl chloride to simulate bone. A region of interest was drawn in each cartridge flush with the rod. Most features were robust with up to 50% of the original GTV removed. Most feature values did not significantly differ when measured with the polylactic acid rod or the polyvinyl chloride rod. Of those that did, the size of the difference did not exceed the inter-patient standard deviation in most cases. We conclude that simply removing slices affected by streak artifacts can enable these scans to be included in radiomics studies and that contours of structures can abut bone without being affected by beam hardening if needed. |
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AbstractList | Radiomics studies have demonstrated the potential use of quantitative image features to improve prognostic stratification of patients with head and neck cancer. Imaging protocol parameters that can affect radiomics feature values have been investigated, but the effects of artifacts caused by intrinsic patient factors have not. Two such artifacts that are common in patients with head and neck cancer are streak artifacts caused by dental fillings and beam-hardening artifacts caused by bone. The purpose of this study was to test the impact of these artifacts and if needed, methods for compensating for these artifacts in head and neck radiomics studies. The robustness of feature values was tested by removing slices of the gross tumor volume (GTV) on computed tomography images from 30 patients with head and neck cancer; these images did not have streak artifacts or had artifacts far from the GTV. The range of each feature value over a percentage of the GTV was compared to the inter-patient variability at full volume. To determine the effects of beam-hardening artifacts, we scanned a phantom with 5 cartridges of different materials encased in polystyrene buildup. A cylindrical hole through the cartridges contained either a rod of polylactic acid to simulate water or a rod of polyvinyl chloride to simulate bone. A region of interest was drawn in each cartridge flush with the rod. Most features were robust with up to 50% of the original GTV removed. Most feature values did not significantly differ when measured with the polylactic acid rod or the polyvinyl chloride rod. Of those that did, the size of the difference did not exceed the inter-patient standard deviation in most cases. We conclude that simply removing slices affected by streak artifacts can enable these scans to be included in radiomics studies and that contours of structures can abut bone without being affected by beam hardening if needed. •Head and neck patients are often affected by streak and beam hardening artifacts, impacting their inclusion in studies.•Streak artifacts impact the majority of radiomics features’ values.•Contours of structures can abut bone without affecting most radiomics features’ values if needed.•Most features were robust with up to 50% of the original tumor volume removed.•More patients’ head and neck CTs can be used in radiomics studies by simply removing slices affected by streak artifacts. Radiomics studies have demonstrated the potential use of quantitative image features to improve prognostic stratification of patients with head and neck cancer. Imaging protocol parameters that can affect radiomics feature values have been investigated, but the effects of artifacts caused by intrinsic patient factors have not. Two such artifacts that are common in patients with head and neck cancer are streak artifacts caused by dental fillings and beam-hardening artifacts caused by bone. The purpose of this study was to test the impact of these artifacts and if needed, methods for compensating for these artifacts in head and neck radiomics studies. The robustness of feature values was tested by removing slices of the gross tumor volume (GTV) on computed tomography images from 30 patients with head and neck cancer; these images did not have streak artifacts or had artifacts far from the GTV. The range of each feature value over a percentage of the GTV was compared to the inter-patient variability at full volume. To determine the effects of beam-hardening artifacts, we scanned a phantom with 5 cartridges of different materials encased in polystyrene buildup. A cylindrical hole through the cartridges contained either a rod of polylactic acid to simulate water or a rod of polyvinyl chloride to simulate bone. A region of interest was drawn in each cartridge flush with the rod. Most features were robust with up to 50% of the original GTV removed. Most feature values did not significantly differ when measured with the polylactic acid rod or the polyvinyl chloride rod. Of those that did, the size of the difference did not exceed the inter-patient standard deviation in most cases. We conclude that simply removing slices affected by streak artifacts can enable these scans to be included in radiomics studies and that contours of structures can abut bone without being affected by beam hardening if needed. |
Author | Stafford, R. Jason Jones, A. Kyle Court, Laurence E. Craft, Daniel F. Ger, Rachel B. Fuller, Clifton D. Li, Heng Mackin, Dennis S. Elhalawani, Hesham Zhou, Shouhao Howell, Rebecca M. Layman, Rick R. |
AuthorAffiliation | e Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 0097, Houston, Texas 77030 a Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030 c Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1411, Houston, Texas 77030 b The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030 d Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1472, Houston, Texas 77030 |
AuthorAffiliation_xml | – name: c Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1411, Houston, Texas 77030 – name: b The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030 – name: e Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 0097, Houston, Texas 77030 – name: d Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1472, Houston, Texas 77030 – name: a Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030 |
Author_xml | – sequence: 1 givenname: Rachel B. orcidid: 0000-0003-1244-7160 surname: Ger fullname: Ger, Rachel B. email: rbger@mdanderson.org organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States – sequence: 2 givenname: Daniel F. surname: Craft fullname: Craft, Daniel F. organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States – sequence: 3 givenname: Dennis S. orcidid: 0000-0002-2557-5340 surname: Mackin fullname: Mackin, Dennis S. organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States – sequence: 4 givenname: Shouhao orcidid: 0000-0002-8124-5047 surname: Zhou fullname: Zhou, Shouhao organization: The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030, United States – sequence: 5 givenname: Rick R. surname: Layman fullname: Layman, Rick R. organization: The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030, United States – sequence: 6 givenname: A. Kyle surname: Jones fullname: Jones, A. Kyle organization: The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030, United States – sequence: 7 givenname: Hesham orcidid: 0000-0001-9848-2623 surname: Elhalawani fullname: Elhalawani, Hesham organization: Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 0097, Houston, Texas 77030, United States – sequence: 8 givenname: Clifton D. orcidid: 0000-0002-5264-3994 surname: Fuller fullname: Fuller, Clifton D. organization: The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030, United States – sequence: 9 givenname: Rebecca M. surname: Howell fullname: Howell, Rebecca M. organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States – sequence: 10 givenname: Heng surname: Li fullname: Li, Heng organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States – sequence: 11 givenname: R. Jason surname: Stafford fullname: Stafford, R. Jason organization: The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave., Houston, Texas 77030, United States – sequence: 12 givenname: Laurence E. surname: Court fullname: Court, Laurence E. organization: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, Texas 77030, United States |
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Keywords | Head and neck Artifacts Quantitative imaging Texture Radiomics |
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Snippet | •Head and neck patients are often affected by streak and beam hardening artifacts, impacting their inclusion in studies.•Streak artifacts impact the majority... Radiomics studies have demonstrated the potential use of quantitative image features to improve prognostic stratification of patients with head and neck... |
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SubjectTerms | Adult Aged Algorithms Cancer Cartridges Chlorides Computation Computed tomography Computer simulation Dental fillings Dental materials Female Hardening Head & neck cancer Head and neck Head and Neck Neoplasms - diagnostic imaging Histopathology Humans Image analysis Image Interpretation, Computer-Assisted - methods Image processing Male Medical imaging Middle Aged Patients Phantoms, Imaging Polylactic acid Polystyrene Polystyrene resins Polyvinyl chloride Quantitative imaging Radiomics Texture Tomography Tomography, X-Ray Computed |
Title | Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis |
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