Optimizing MR-Guided Radiotherapy for Breast Cancer Patients

Maureen L. Groot Koerkamp; Jeanine E. Vasmel; Nicola S. Russell; Simona F. Shaitelman; Carmel N. Anandadas; Adam Currey; Danny Vesprini; Brian M. Keller; Chiara De-Colle; Kathy Han; Lior Z. Braunstein; Faisal Mahmood; Ebbe L. Lorenzen; Marielle E.P. Philippens; Helena M. Verkooijen; Jan J.W. Lagendijk; Antonetta C. Houweling; H. J.G.Desiree van den Bongard; Anna M. Kirby

doi:10.3389/fonc.2020.01107

Optimizing MR-Guided Radiotherapy for Breast Cancer Patients

Maureen L. Groot Koerkamp^*
, Jeanine E. Vasmel^*
, Nicola S. Russell
, Simona F. Shaitelman
, Carmel N. Anandadas
, Adam Currey
, Danny Vesprini
, Brian M. Keller
, Chiara De-Colle
, Kathy Han
, Lior Z. Braunstein
, Faisal Mahmood
, Ebbe L. Lorenzen
, Marielle E.P. Philippens
, Helena M. Verkooijen
, Jan J.W. Lagendijk
, Antonetta C. Houweling
, H. J.G.Desiree van den Bongard
, Anna M. Kirby^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › Academic › peer-review

50 Citations (Scopus)

19 Downloads (Pure)

Abstract

Current research in radiotherapy (RT) for breast cancer is evaluating neoadjuvant as opposed to adjuvant partial breast irradiation (PBI) with the aim of reducing the volume of breast tissue irradiated and therefore the risk of late treatment-related toxicity. The development of magnetic resonance (MR)–guided RT, including dedicated MR-guided RT systems [hybrid machines combining an MR scanner with a linear accelerator (MR-linac) or ⁶⁰Co sources], could potentially reduce the irradiated volume even further by improving tumour visibility before and during each RT treatment. In this position paper, we discuss MR guidance in relation to each step of the breast RT planning and treatment pathway, focusing on the application of MR-guided RT to neoadjuvant PBI.

Original language	English
Article number	1107
Journal	Frontiers in oncology
Volume	10
DOIs	https://doi.org/10.3389/fonc.2020.01107
Publication status	Published - 28 Jul 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast cancer
Hybrid machine
Magnetic resonance imaging (MRI)
MR-guided radiotherapy
MR-linac
Neoadjuvant radiation therapy
Partial breast irradiation

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10.3389/fonc.2020.01107Licence: CC BY

ArticleFinal published version, 1.36 MBLicence: CC BY

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Groot Koerkamp, M. L., Vasmel, J. E., Russell, N. S., Shaitelman, S. F., Anandadas, C. N., Currey, A., Vesprini, D., Keller, B. M., De-Colle, C., Han, K., Braunstein, L. Z., Mahmood, F., Lorenzen, E. L., Philippens, M. E. P., Verkooijen, H. M., Lagendijk, J. J. W., Houweling, A. C., van den Bongard, H. J. G. D., & Kirby, A. M. (2020). Optimizing MR-Guided Radiotherapy for Breast Cancer Patients. Frontiers in oncology, 10, Article 1107. https://doi.org/10.3389/fonc.2020.01107

@article{1a2463a7b09b4dfdab2bcbeffbbd3dc2,

title = "Optimizing MR-Guided Radiotherapy for Breast Cancer Patients",

abstract = "Current research in radiotherapy (RT) for breast cancer is evaluating neoadjuvant as opposed to adjuvant partial breast irradiation (PBI) with the aim of reducing the volume of breast tissue irradiated and therefore the risk of late treatment-related toxicity. The development of magnetic resonance (MR)–guided RT, including dedicated MR-guided RT systems [hybrid machines combining an MR scanner with a linear accelerator (MR-linac) or 60Co sources], could potentially reduce the irradiated volume even further by improving tumour visibility before and during each RT treatment. In this position paper, we discuss MR guidance in relation to each step of the breast RT planning and treatment pathway, focusing on the application of MR-guided RT to neoadjuvant PBI.",

keywords = "Breast cancer, Hybrid machine, Magnetic resonance imaging (MRI), MR-guided radiotherapy, MR-linac, Neoadjuvant radiation therapy, Partial breast irradiation",

author = "\{Groot Koerkamp\}, \{Maureen L.\} and Vasmel, \{Jeanine E.\} and Russell, \{Nicola S.\} and Shaitelman, \{Simona F.\} and Anandadas, \{Carmel N.\} and Adam Currey and Danny Vesprini and Keller, \{Brian M.\} and Chiara De-Colle and Kathy Han and Braunstein, \{Lior Z.\} and Faisal Mahmood and Lorenzen, \{Ebbe L.\} and Philippens, \{Marielle E.P.\} and Verkooijen, \{Helena M.\} and Lagendijk, \{Jan J.W.\} and Houweling, \{Antonetta C.\} and \{van den Bongard\}, \{H. J.G.Desiree\} and Kirby, \{Anna M.\}",

note = "Publisher Copyright: {\textcopyright} 2020 Groot Koerkamp, Vasmel, Russell, Shaitelman, Anandadas, Currey, Vesprini, Keller, De-Colle, Han, Braunstein, Mahmood, Lorenzen, Philippens, Verkooijen, Lagendijk, Houweling, van den Bongard and Kirby.",

year = "2020",

month = jul,

day = "28",

doi = "10.3389/fonc.2020.01107",

language = "English",

volume = "10",

journal = "Frontiers in oncology",

issn = "2234-943X",

publisher = "Frontiers Media SA",

}

Groot Koerkamp, ML, Vasmel, JE, Russell, NS, Shaitelman, SF, Anandadas, CN, Currey, A, Vesprini, D, Keller, BM, De-Colle, C, Han, K, Braunstein, LZ, Mahmood, F, Lorenzen, EL, Philippens, MEP, Verkooijen, HM, Lagendijk, JJW, Houweling, AC, van den Bongard, HJGD & Kirby, AM 2020, 'Optimizing MR-Guided Radiotherapy for Breast Cancer Patients', Frontiers in oncology, vol. 10, 1107. https://doi.org/10.3389/fonc.2020.01107

TY - JOUR

T1 - Optimizing MR-Guided Radiotherapy for Breast Cancer Patients

AU - Groot Koerkamp, Maureen L.

AU - Vasmel, Jeanine E.

AU - Russell, Nicola S.

AU - Shaitelman, Simona F.

AU - Anandadas, Carmel N.

AU - Currey, Adam

AU - Vesprini, Danny

AU - Keller, Brian M.

AU - De-Colle, Chiara

AU - Han, Kathy

AU - Braunstein, Lior Z.

AU - Mahmood, Faisal

AU - Lorenzen, Ebbe L.

AU - Philippens, Marielle E.P.

AU - Verkooijen, Helena M.

AU - Lagendijk, Jan J.W.

AU - Houweling, Antonetta C.

AU - van den Bongard, H. J.G.Desiree

AU - Kirby, Anna M.

N1 - Publisher Copyright: © 2020 Groot Koerkamp, Vasmel, Russell, Shaitelman, Anandadas, Currey, Vesprini, Keller, De-Colle, Han, Braunstein, Mahmood, Lorenzen, Philippens, Verkooijen, Lagendijk, Houweling, van den Bongard and Kirby.

PY - 2020/7/28

Y1 - 2020/7/28

N2 - Current research in radiotherapy (RT) for breast cancer is evaluating neoadjuvant as opposed to adjuvant partial breast irradiation (PBI) with the aim of reducing the volume of breast tissue irradiated and therefore the risk of late treatment-related toxicity. The development of magnetic resonance (MR)–guided RT, including dedicated MR-guided RT systems [hybrid machines combining an MR scanner with a linear accelerator (MR-linac) or 60Co sources], could potentially reduce the irradiated volume even further by improving tumour visibility before and during each RT treatment. In this position paper, we discuss MR guidance in relation to each step of the breast RT planning and treatment pathway, focusing on the application of MR-guided RT to neoadjuvant PBI.

AB - Current research in radiotherapy (RT) for breast cancer is evaluating neoadjuvant as opposed to adjuvant partial breast irradiation (PBI) with the aim of reducing the volume of breast tissue irradiated and therefore the risk of late treatment-related toxicity. The development of magnetic resonance (MR)–guided RT, including dedicated MR-guided RT systems [hybrid machines combining an MR scanner with a linear accelerator (MR-linac) or 60Co sources], could potentially reduce the irradiated volume even further by improving tumour visibility before and during each RT treatment. In this position paper, we discuss MR guidance in relation to each step of the breast RT planning and treatment pathway, focusing on the application of MR-guided RT to neoadjuvant PBI.

KW - Breast cancer

KW - Hybrid machine

KW - Magnetic resonance imaging (MRI)

KW - MR-guided radiotherapy

KW - MR-linac

KW - Neoadjuvant radiation therapy

KW - Partial breast irradiation

UR - https://www.scopus.com/pages/publications/85089437841

U2 - 10.3389/fonc.2020.01107

DO - 10.3389/fonc.2020.01107

M3 - Review article

SN - 2234-943X

VL - 10

JO - Frontiers in oncology

JF - Frontiers in oncology

M1 - 1107

ER -

Optimizing MR-Guided Radiotherapy for Breast Cancer Patients

Abstract

UN SDGs

Keywords

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