Publication

Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas

Zhu, M., Bzdusek, K., Brink, C., Eriksen, J. G., Hansen, O., Jensen, H. A., Gay, H. A., Thorstad, W., Widder, J., Brouwer, C. L., Steenbakkers, R. J. H. M., Vanhauten, H. A. M., Cao, J. Q., McBrayne, G., Patel, S. H., Cannon, D. M., Hardcastle, N., Tome, W. A., Guckenberg, M. & Parikh, P. J., 15-Nov-2013, In : International Journal of Radiation Oncology Biology Physics. 87, 4, p. 809-816 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Zhu, M., Bzdusek, K., Brink, C., Eriksen, J. G., Hansen, O., Jensen, H. A., ... Parikh, P. J. (2013). Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas. International Journal of Radiation Oncology Biology Physics, 87(4), 809-816. https://doi.org/10.1016/j.ijrobp.2013.08.007

Author

Zhu, Mingyao ; Bzdusek, Karl ; Brink, Carsten ; Eriksen, Jesper Grau ; Hansen, Olfred ; Jensen, Helle Anita ; Gay, Hiram A. ; Thorstad, Wade ; Widder, Joachim ; Brouwer, Charlotte L. ; Steenbakkers, Roel J. H. M. ; Vanhauten, Hubertus A. M. ; Cao, Jeffrey Q. ; McBrayne, Gail ; Patel, Salil H. ; Cannon, Donald M. ; Hardcastle, Nicholas ; Tome, Wolfgang A. ; Guckenberg, Matthias ; Parikh, Parag J. / Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas. In: International Journal of Radiation Oncology Biology Physics. 2013 ; Vol. 87, No. 4. pp. 809-816.

Harvard

Zhu, M, Bzdusek, K, Brink, C, Eriksen, JG, Hansen, O, Jensen, HA, Gay, HA, Thorstad, W, Widder, J, Brouwer, CL, Steenbakkers, RJHM, Vanhauten, HAM, Cao, JQ, McBrayne, G, Patel, SH, Cannon, DM, Hardcastle, N, Tome, WA, Guckenberg, M & Parikh, PJ 2013, 'Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas', International Journal of Radiation Oncology Biology Physics, vol. 87, no. 4, pp. 809-816. https://doi.org/10.1016/j.ijrobp.2013.08.007

Standard

Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas. / Zhu, Mingyao; Bzdusek, Karl; Brink, Carsten; Eriksen, Jesper Grau; Hansen, Olfred; Jensen, Helle Anita; Gay, Hiram A.; Thorstad, Wade; Widder, Joachim; Brouwer, Charlotte L.; Steenbakkers, Roel J. H. M.; Vanhauten, Hubertus A. M.; Cao, Jeffrey Q.; McBrayne, Gail; Patel, Salil H.; Cannon, Donald M.; Hardcastle, Nicholas; Tome, Wolfgang A.; Guckenberg, Matthias; Parikh, Parag J.

In: International Journal of Radiation Oncology Biology Physics, Vol. 87, No. 4, 15.11.2013, p. 809-816.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Zhu M, Bzdusek K, Brink C, Eriksen JG, Hansen O, Jensen HA et al. Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas. International Journal of Radiation Oncology Biology Physics. 2013 Nov 15;87(4):809-816. https://doi.org/10.1016/j.ijrobp.2013.08.007


BibTeX

@article{e739601fe8d04bbc8ea545742c9e59c4,
title = "Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas",
abstract = "Purpose: Clinical validation and quantitative evaluation of computed tomography (CT) image autosegmentation using Smart Probabilistic Image Contouring Engine (SPICE).Methods and Materials: CT images of 125 treated patients (32 head and neck [HN], 40 thorax, 23 liver, and 30 prostate) in 7 independent institutions were autosegmented using SPICE and computational times were recorded. The number of structures autocontoured were 25 for the HN, 7 for the thorax, 3 for the liver, and 6 for the male pelvis regions. Using the clinical contours as reference, autocontours of 22 selected structures were quantitatively evaluated using Dice Similarity Coefficient (DSC) and Mean Slice-wise Hausdorff Distance (MSHD). All 40 autocontours were evaluated by a radiation oncologist from the institution that treated the patients.Results: The mean computational times to autosegment all the structures using SPICE were 3.1 to 11.1 minutes per patient. For the HN region, the mean DSC was > 0.70 for all evaluated structures, and the MSHD ranged from 3.2 to 10.0 mm. For the thorax region, the mean DSC was 0.95 for the lungs and 0.90 for the heart, and the MSHD ranged from 2.8 to 12.8 mm. For the liver region, the mean DSC was > 0.92 for all structures, and the MSHD ranged from 5.2 to 15.9 mm. For the male pelvis region, the mean DSC was > 0.76 for all structures, and the MSHD ranged from 4.8 to 10.5 mm. Out of the 40 autocontoured structures reviews by experts, 25 were scored useful as autocontoured or with minor edits for at least 90{\%} of the patients and 33 were scored useful autocontoured or with minor edits for at least 80{\%} of the patients.Conclusions: Compared with manual contouring, autosegmentation using SPICE for the HN, thorax, liver, and male pelvis regions is efficient and shows significant promise for clinical utility. (C) 2013 Elsevier Inc.",
keywords = "AUTOMATIC SEGMENTATION, RADIATION-THERAPY, AUTO-SEGMENTATION, CT IMAGES, PROSTATE, CANCER, VARIABILITY, DELINEATION, DEFINITION, ONCOLOGY",
author = "Mingyao Zhu and Karl Bzdusek and Carsten Brink and Eriksen, {Jesper Grau} and Olfred Hansen and Jensen, {Helle Anita} and Gay, {Hiram A.} and Wade Thorstad and Joachim Widder and Brouwer, {Charlotte L.} and Steenbakkers, {Roel J. H. M.} and Vanhauten, {Hubertus A. M.} and Cao, {Jeffrey Q.} and Gail McBrayne and Patel, {Salil H.} and Cannon, {Donald M.} and Nicholas Hardcastle and Tome, {Wolfgang A.} and Matthias Guckenberg and Parikh, {Parag J.}",
year = "2013",
month = "11",
day = "15",
doi = "10.1016/j.ijrobp.2013.08.007",
language = "English",
volume = "87",
pages = "809--816",
journal = "International Journal of Radiation Oncology Biology Physics",
issn = "0360-3016",
publisher = "ELSEVIER SCIENCE INC",
number = "4",

}

RIS

TY - JOUR

T1 - Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas

AU - Zhu, Mingyao

AU - Bzdusek, Karl

AU - Brink, Carsten

AU - Eriksen, Jesper Grau

AU - Hansen, Olfred

AU - Jensen, Helle Anita

AU - Gay, Hiram A.

AU - Thorstad, Wade

AU - Widder, Joachim

AU - Brouwer, Charlotte L.

AU - Steenbakkers, Roel J. H. M.

AU - Vanhauten, Hubertus A. M.

AU - Cao, Jeffrey Q.

AU - McBrayne, Gail

AU - Patel, Salil H.

AU - Cannon, Donald M.

AU - Hardcastle, Nicholas

AU - Tome, Wolfgang A.

AU - Guckenberg, Matthias

AU - Parikh, Parag J.

PY - 2013/11/15

Y1 - 2013/11/15

N2 - Purpose: Clinical validation and quantitative evaluation of computed tomography (CT) image autosegmentation using Smart Probabilistic Image Contouring Engine (SPICE).Methods and Materials: CT images of 125 treated patients (32 head and neck [HN], 40 thorax, 23 liver, and 30 prostate) in 7 independent institutions were autosegmented using SPICE and computational times were recorded. The number of structures autocontoured were 25 for the HN, 7 for the thorax, 3 for the liver, and 6 for the male pelvis regions. Using the clinical contours as reference, autocontours of 22 selected structures were quantitatively evaluated using Dice Similarity Coefficient (DSC) and Mean Slice-wise Hausdorff Distance (MSHD). All 40 autocontours were evaluated by a radiation oncologist from the institution that treated the patients.Results: The mean computational times to autosegment all the structures using SPICE were 3.1 to 11.1 minutes per patient. For the HN region, the mean DSC was > 0.70 for all evaluated structures, and the MSHD ranged from 3.2 to 10.0 mm. For the thorax region, the mean DSC was 0.95 for the lungs and 0.90 for the heart, and the MSHD ranged from 2.8 to 12.8 mm. For the liver region, the mean DSC was > 0.92 for all structures, and the MSHD ranged from 5.2 to 15.9 mm. For the male pelvis region, the mean DSC was > 0.76 for all structures, and the MSHD ranged from 4.8 to 10.5 mm. Out of the 40 autocontoured structures reviews by experts, 25 were scored useful as autocontoured or with minor edits for at least 90% of the patients and 33 were scored useful autocontoured or with minor edits for at least 80% of the patients.Conclusions: Compared with manual contouring, autosegmentation using SPICE for the HN, thorax, liver, and male pelvis regions is efficient and shows significant promise for clinical utility. (C) 2013 Elsevier Inc.

AB - Purpose: Clinical validation and quantitative evaluation of computed tomography (CT) image autosegmentation using Smart Probabilistic Image Contouring Engine (SPICE).Methods and Materials: CT images of 125 treated patients (32 head and neck [HN], 40 thorax, 23 liver, and 30 prostate) in 7 independent institutions were autosegmented using SPICE and computational times were recorded. The number of structures autocontoured were 25 for the HN, 7 for the thorax, 3 for the liver, and 6 for the male pelvis regions. Using the clinical contours as reference, autocontours of 22 selected structures were quantitatively evaluated using Dice Similarity Coefficient (DSC) and Mean Slice-wise Hausdorff Distance (MSHD). All 40 autocontours were evaluated by a radiation oncologist from the institution that treated the patients.Results: The mean computational times to autosegment all the structures using SPICE were 3.1 to 11.1 minutes per patient. For the HN region, the mean DSC was > 0.70 for all evaluated structures, and the MSHD ranged from 3.2 to 10.0 mm. For the thorax region, the mean DSC was 0.95 for the lungs and 0.90 for the heart, and the MSHD ranged from 2.8 to 12.8 mm. For the liver region, the mean DSC was > 0.92 for all structures, and the MSHD ranged from 5.2 to 15.9 mm. For the male pelvis region, the mean DSC was > 0.76 for all structures, and the MSHD ranged from 4.8 to 10.5 mm. Out of the 40 autocontoured structures reviews by experts, 25 were scored useful as autocontoured or with minor edits for at least 90% of the patients and 33 were scored useful autocontoured or with minor edits for at least 80% of the patients.Conclusions: Compared with manual contouring, autosegmentation using SPICE for the HN, thorax, liver, and male pelvis regions is efficient and shows significant promise for clinical utility. (C) 2013 Elsevier Inc.

KW - AUTOMATIC SEGMENTATION

KW - RADIATION-THERAPY

KW - AUTO-SEGMENTATION

KW - CT IMAGES

KW - PROSTATE

KW - CANCER

KW - VARIABILITY

KW - DELINEATION

KW - DEFINITION

KW - ONCOLOGY

U2 - 10.1016/j.ijrobp.2013.08.007

DO - 10.1016/j.ijrobp.2013.08.007

M3 - Article

VL - 87

SP - 809

EP - 816

JO - International Journal of Radiation Oncology Biology Physics

JF - International Journal of Radiation Oncology Biology Physics

SN - 0360-3016

IS - 4

ER -

ID: 5974090