The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

Anna Andreychenko; PS Kroon-van Loon; Matteo Maspero; Ina-Maria Schulz-Jurgenliemk; AAC de Leeuw; Marnix G E H Lam; JJW Lagendijk; Cornelis A T van den Berg

doi:10.1016/j.radonc.2017.01.020

The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

Anna Andreychenko, PS Kroon-van Loon, Matteo Maspero, Ina-Maria Schulz-Jurgenliemk, AAC de Leeuw, Marnix G E H Lam, JJW Lagendijk, Cornelis A T van den Berg

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

Abstract

PURPOSE: For patients with cervical cancer the delivery of chemotherapy with radiotherapy improves survival compared with radiotherapy alone. However, high rates of acute hematologic toxicity occur when combining both therapies due to the damage of the red bone marrow (RBM). This study aimed to reduce the radiation damage to the RBM. A tool has been developed for semi-automatic delineation of the red bone marrow based on MR-only. This delineation can be included into the treatment planning process to reduce the volume of RBM irradiated in patients receiving pelvic radiation therapy.

METHODS: 13 patients with cervical cancer were enrolled. All the patients underwent MR, CT and FDG-PET imaging. A tool for RBM determination from water and fat MR images was developed. Our MR-based RBM tool was optimized and validated with the FDG-PET scans of the patients.

RESULTS: Our tool identified RBM regions in the pelvic area. The mean total volume of these regions was 34% of the pelvic bone marrow. The corresponding SUV values based on the FDG-PET scans were above the reported threshold of active/red bone marrow.

CONCLUSION: This study shows that delineations of the RBM for the radiotherapy with RBM sparing can be generated semi-automatically using MR scans only.

Original language	English
Pages (from-to)	164-168
Number of pages	5
Journal	Radiotherapy & Oncology
Volume	123
Issue number	1
DOIs	https://doi.org/10.1016/j.radonc.2017.01.020
Publication status	Published - 23 Feb 2017

Keywords

Cervical cancer
MR-only
Pelvis
Radiotherapy
Red bone marrow sparing

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10.1016/j.radonc.2017.01.020

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Andreychenko, A., Kroon-van Loon, PS., Maspero, M., Schulz-Jurgenliemk, I.-M., de Leeuw, AAC., Lam, M. G. E. H., Lagendijk, JJW., & van den Berg, C. A. T. (2017). The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer. Radiotherapy & Oncology, 123(1), 164-168. https://doi.org/10.1016/j.radonc.2017.01.020

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title = "The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer",

abstract = "PURPOSE: For patients with cervical cancer the delivery of chemotherapy with radiotherapy improves survival compared with radiotherapy alone. However, high rates of acute hematologic toxicity occur when combining both therapies due to the damage of the red bone marrow (RBM). This study aimed to reduce the radiation damage to the RBM. A tool has been developed for semi-automatic delineation of the red bone marrow based on MR-only. This delineation can be included into the treatment planning process to reduce the volume of RBM irradiated in patients receiving pelvic radiation therapy.METHODS: 13 patients with cervical cancer were enrolled. All the patients underwent MR, CT and FDG-PET imaging. A tool for RBM determination from water and fat MR images was developed. Our MR-based RBM tool was optimized and validated with the FDG-PET scans of the patients.RESULTS: Our tool identified RBM regions in the pelvic area. The mean total volume of these regions was 34% of the pelvic bone marrow. The corresponding SUV values based on the FDG-PET scans were above the reported threshold of active/red bone marrow.CONCLUSION: This study shows that delineations of the RBM for the radiotherapy with RBM sparing can be generated semi-automatically using MR scans only.",

keywords = "Cervical cancer, MR-only, Pelvis, Radiotherapy, Red bone marrow sparing",

author = "Anna Andreychenko and {Kroon-van Loon}, PS and Matteo Maspero and Ina-Maria Schulz-Jurgenliemk and {de Leeuw}, AAC and Lam, {Marnix G E H} and JJW Lagendijk and {van den Berg}, {Cornelis A T}",

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doi = "10.1016/j.radonc.2017.01.020",

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Andreychenko, A, Kroon-van Loon, PS, Maspero, M, Schulz-Jurgenliemk, I-M, de Leeuw, AAC, Lam, MGEH , Lagendijk, JJW & van den Berg, CAT 2017, 'The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer', Radiotherapy & Oncology, vol. 123, no. 1, pp. 164-168. https://doi.org/10.1016/j.radonc.2017.01.020

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T1 - The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

AU - Andreychenko, Anna

AU - Kroon-van Loon, PS

AU - Maspero, Matteo

AU - Schulz-Jurgenliemk, Ina-Maria

AU - de Leeuw, AAC

AU - Lam, Marnix G E H

AU - Lagendijk, JJW

AU - van den Berg, Cornelis A T

PY - 2017/2/23

Y1 - 2017/2/23

N2 - PURPOSE: For patients with cervical cancer the delivery of chemotherapy with radiotherapy improves survival compared with radiotherapy alone. However, high rates of acute hematologic toxicity occur when combining both therapies due to the damage of the red bone marrow (RBM). This study aimed to reduce the radiation damage to the RBM. A tool has been developed for semi-automatic delineation of the red bone marrow based on MR-only. This delineation can be included into the treatment planning process to reduce the volume of RBM irradiated in patients receiving pelvic radiation therapy.METHODS: 13 patients with cervical cancer were enrolled. All the patients underwent MR, CT and FDG-PET imaging. A tool for RBM determination from water and fat MR images was developed. Our MR-based RBM tool was optimized and validated with the FDG-PET scans of the patients.RESULTS: Our tool identified RBM regions in the pelvic area. The mean total volume of these regions was 34% of the pelvic bone marrow. The corresponding SUV values based on the FDG-PET scans were above the reported threshold of active/red bone marrow.CONCLUSION: This study shows that delineations of the RBM for the radiotherapy with RBM sparing can be generated semi-automatically using MR scans only.

AB - PURPOSE: For patients with cervical cancer the delivery of chemotherapy with radiotherapy improves survival compared with radiotherapy alone. However, high rates of acute hematologic toxicity occur when combining both therapies due to the damage of the red bone marrow (RBM). This study aimed to reduce the radiation damage to the RBM. A tool has been developed for semi-automatic delineation of the red bone marrow based on MR-only. This delineation can be included into the treatment planning process to reduce the volume of RBM irradiated in patients receiving pelvic radiation therapy.METHODS: 13 patients with cervical cancer were enrolled. All the patients underwent MR, CT and FDG-PET imaging. A tool for RBM determination from water and fat MR images was developed. Our MR-based RBM tool was optimized and validated with the FDG-PET scans of the patients.RESULTS: Our tool identified RBM regions in the pelvic area. The mean total volume of these regions was 34% of the pelvic bone marrow. The corresponding SUV values based on the FDG-PET scans were above the reported threshold of active/red bone marrow.CONCLUSION: This study shows that delineations of the RBM for the radiotherapy with RBM sparing can be generated semi-automatically using MR scans only.

KW - Cervical cancer

KW - MR-only

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KW - Radiotherapy

KW - Red bone marrow sparing

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JO - Radiotherapy & Oncology

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The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

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