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

Mingyao Zhu, Karl Bzdusek, Carsten Brink, Jesper Grau Eriksen, Olfred Hansen, Helle Anita Jensen, Hiram A. Gay, Wade Thorstad, Joachim Widder, Charlotte L. Brouwer, Roel J H M Steenbakkers, Hubertus A M Vanhauten, Jeffrey Q. Cao, Gail McBrayne, Salil H. Patel, Donald M. Cannon, Nicholas Hardcastle, Wolfgang A. Tome, Matthias Guckenberg, Parag J. Parikh

Research output: Contribution to journalArticle

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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.

Original languageEnglish (US)
Pages (from-to)809-816
Number of pages8
JournalInternational Journal of Radiation Oncology Biology Physics
Volume87
Issue number4
DOIs
StatePublished - Nov 15 2013

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thorax
pelvis
Pelvis
liver
engines
Neck
Thorax
tomography
Head
Tomography
evaluation
Liver
coefficients
Prostate
Lung
smart structures
lungs

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Cancer Research

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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 journalArticle

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
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.
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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.",
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.}",
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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.

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.

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