Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway

Joep Kraeima; Rutger H. Schepers; Peter M. A. van Ooijen; Roel J. H. M. Steenbakkers; Jan L. N. Roodenburg; Max J. H. Witjes

doi:10.1016/j.jcms.2015.07.015

Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway

Joep Kraeima^*, Rutger H. Schepers, Peter M. A. van Ooijen, Roel J. H. M. Steenbakkers, Jan L. N. Roodenburg, Max J. H. Witjes

^*Corresponding author for this work

Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)

Research output: Contribution to journal › Article › Academic › peer-review

30 Citations (Scopus)

Abstract

Purpose: Three-dimensional (3D) virtual planning of reconstructive surgery, after resection, is a frequently used method for improving accuracy and predictability. However, when applied to malignant cases, the planning of the oncologic resection margins is difficult due to visualisation of tumours in the current 3D planning. Embedding tumour delineation on a magnetic resonance image, similar to the routinely performed radiotherapeutic contouring of tumours, is expected to provide better margin planning. A new software pathway was developed for embedding tumour delineation on magnetic resonance imaging (MRI) within the 3D virtual surgical planning.

Material and methods: The software pathway was validated by the use of five bovine cadavers implanted with phantom tumour objects. MRI and computed tomography (CT) images were fused and the tumour was delineated using radiation oncology software. This data was converted to the 3D virtual planning software by means of a conversion algorithm. Tumour volumes and localization were determined in both software stages for comparison analysis. The approach was applied to three clinical cases.

Results: A conversion algorithm was developed to translate the tumour delineation data to the 3D virtual plan environment. The average difference in volume of the tumours was 1.7%.

Conclusion: This study reports a validated software pathway, providing multi-modality image fusion for 3D virtual surgical planning. (C) 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	1374-1379
Number of pages	6
Journal	Journal of maxillofacial surgery
Volume	43
Issue number	8
DOIs	https://doi.org/10.1016/j.jcms.2015.07.015
Publication status	Published - Oct-2015

Keywords

3D planning
Data fusion
Oncologic margins
Free-flap reconstruction
SQUAMOUS-CELL CARCINOMA
COMPUTER-AIDED-DESIGN
MANDIBULAR RECONSTRUCTION
CANCER-SURGERY
TUMOR RESECTION
FIBULA
PLATES
PLACEMENT
ACCURACY
DEFECT

Access to Document

10.1016/j.jcms.2015.07.015

Handle.net

Persistent link

Embargoed Document

Integration of oncologic margins in three-dimensional virtual planning for head
Final publisher's version, 1.46 MB
Request copy

Cite this

@article{2cc4651d2bce40ebbb41bc3ce7743650,

title = "Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway",

abstract = "Purpose: Three-dimensional (3D) virtual planning of reconstructive surgery, after resection, is a frequently used method for improving accuracy and predictability. However, when applied to malignant cases, the planning of the oncologic resection margins is difficult due to visualisation of tumours in the current 3D planning. Embedding tumour delineation on a magnetic resonance image, similar to the routinely performed radiotherapeutic contouring of tumours, is expected to provide better margin planning. A new software pathway was developed for embedding tumour delineation on magnetic resonance imaging (MRI) within the 3D virtual surgical planning.Material and methods: The software pathway was validated by the use of five bovine cadavers implanted with phantom tumour objects. MRI and computed tomography (CT) images were fused and the tumour was delineated using radiation oncology software. This data was converted to the 3D virtual planning software by means of a conversion algorithm. Tumour volumes and localization were determined in both software stages for comparison analysis. The approach was applied to three clinical cases.Results: A conversion algorithm was developed to translate the tumour delineation data to the 3D virtual plan environment. The average difference in volume of the tumours was 1.7%.Conclusion: This study reports a validated software pathway, providing multi-modality image fusion for 3D virtual surgical planning. (C) 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.",

keywords = "3D planning, Data fusion, Oncologic margins, Free-flap reconstruction, SQUAMOUS-CELL CARCINOMA, COMPUTER-AIDED-DESIGN, MANDIBULAR RECONSTRUCTION, CANCER-SURGERY, TUMOR RESECTION, FIBULA, PLATES, PLACEMENT, ACCURACY, DEFECT",

author = "Joep Kraeima and Schepers, {Rutger H.} and {van Ooijen}, {Peter M. A.} and Steenbakkers, {Roel J. H. M.} and Roodenburg, {Jan L. N.} and Witjes, {Max J. H.}",

year = "2015",

month = oct,

doi = "10.1016/j.jcms.2015.07.015",

language = "English",

volume = "43",

pages = "1374--1379",

journal = "Journal of maxillofacial surgery",

issn = "1010-5182",

publisher = "Elsevier",

number = "8",

}

Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway. / Kraeima, Joep; Schepers, Rutger H.; van Ooijen, Peter M. A. et al.
In: Journal of maxillofacial surgery, Vol. 43, No. 8, 10.2015, p. 1374-1379.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway

AU - Kraeima, Joep

AU - Schepers, Rutger H.

AU - van Ooijen, Peter M. A.

AU - Steenbakkers, Roel J. H. M.

AU - Roodenburg, Jan L. N.

AU - Witjes, Max J. H.

PY - 2015/10

Y1 - 2015/10

N2 - Purpose: Three-dimensional (3D) virtual planning of reconstructive surgery, after resection, is a frequently used method for improving accuracy and predictability. However, when applied to malignant cases, the planning of the oncologic resection margins is difficult due to visualisation of tumours in the current 3D planning. Embedding tumour delineation on a magnetic resonance image, similar to the routinely performed radiotherapeutic contouring of tumours, is expected to provide better margin planning. A new software pathway was developed for embedding tumour delineation on magnetic resonance imaging (MRI) within the 3D virtual surgical planning.Material and methods: The software pathway was validated by the use of five bovine cadavers implanted with phantom tumour objects. MRI and computed tomography (CT) images were fused and the tumour was delineated using radiation oncology software. This data was converted to the 3D virtual planning software by means of a conversion algorithm. Tumour volumes and localization were determined in both software stages for comparison analysis. The approach was applied to three clinical cases.Results: A conversion algorithm was developed to translate the tumour delineation data to the 3D virtual plan environment. The average difference in volume of the tumours was 1.7%.Conclusion: This study reports a validated software pathway, providing multi-modality image fusion for 3D virtual surgical planning. (C) 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

AB - Purpose: Three-dimensional (3D) virtual planning of reconstructive surgery, after resection, is a frequently used method for improving accuracy and predictability. However, when applied to malignant cases, the planning of the oncologic resection margins is difficult due to visualisation of tumours in the current 3D planning. Embedding tumour delineation on a magnetic resonance image, similar to the routinely performed radiotherapeutic contouring of tumours, is expected to provide better margin planning. A new software pathway was developed for embedding tumour delineation on magnetic resonance imaging (MRI) within the 3D virtual surgical planning.Material and methods: The software pathway was validated by the use of five bovine cadavers implanted with phantom tumour objects. MRI and computed tomography (CT) images were fused and the tumour was delineated using radiation oncology software. This data was converted to the 3D virtual planning software by means of a conversion algorithm. Tumour volumes and localization were determined in both software stages for comparison analysis. The approach was applied to three clinical cases.Results: A conversion algorithm was developed to translate the tumour delineation data to the 3D virtual plan environment. The average difference in volume of the tumours was 1.7%.Conclusion: This study reports a validated software pathway, providing multi-modality image fusion for 3D virtual surgical planning. (C) 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

KW - 3D planning

KW - Data fusion

KW - Oncologic margins

KW - Free-flap reconstruction

KW - SQUAMOUS-CELL CARCINOMA

KW - COMPUTER-AIDED-DESIGN

KW - MANDIBULAR RECONSTRUCTION

KW - CANCER-SURGERY

KW - TUMOR RESECTION

KW - FIBULA

KW - PLATES

KW - PLACEMENT

KW - ACCURACY

KW - DEFECT

U2 - 10.1016/j.jcms.2015.07.015

DO - 10.1016/j.jcms.2015.07.015

M3 - Article

C2 - 26302937

SN - 1010-5182

VL - 43

SP - 1374

EP - 1379

JO - Journal of maxillofacial surgery

JF - Journal of maxillofacial surgery

IS - 8

ER -

Integration of oncologic margins in three-dimensional virtual planning for head and neck surgery, including a validation of the software pathway

Abstract

Keywords

Access to Document

Handle.net

Embargoed Document

Fingerprint

Cite this