Generation of a benchmark dosimetry dataset- An IAEA study

Gunjan Kayal; N. Barbosa Parada; C. Calderon Marin; Ludovic Ferrer; J.A.F. Negrin; D. Grosev; Surya Gupta; N.R. Hidayati; R. Hobbs; Tumelo Moalosi; G. Poli; V. Tsapaki; S. Vauclin; Alex Vergara Gil; Manuel Bardiès

doi:https://www.dosisoft.com/2022/09/29/5629/

Generation of a benchmark dosimetry dataset- An IAEA study

Gunjan Kayal, N. Barbosa Parada, C. Calderon Marin, Ludovic Ferrer, J.A.F. Negrin, D. Grosev, Surya Gupta, N.R. Hidayati, R. Hobbs, Tumelo Moalosi, G. Poli, V. Tsapaki, S. Vauclin, Alex Vergara Gil, Manuel Bardiès

Research in Dosimetric Applications

Research output › peer-review

Abstract

With the development of clinical dosimetry solutions for molecular radiotherapy (including CE-marked or FDA approved commercial software), it is critical to generate means for evaluating the precision and accuracy of the procedure. This
work aimed at designing a benchmark dataset for use in clinical dosimetry, to help professionals assess their proficiency of the software.

Original language	English
Title of host publication	European Journal of Nuclear Medicine and Molecular Imaging
Subtitle of host publication	Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022
Place of Publication	Barcelona, Spain
Publisher	Springer Link
Pages	S395
Number of pages	1
DOIs	https://doi.org/https://www.dosisoft.com/2022/09/29/5629/
State	Published - Oct 2022
Event	2022 - EANM - 35th Annual Congress of the European Association of Nuclear Medicine - Barcelona Duration: 15 Oct 2022 → 19 Oct 2022 http://eanm22.eanm.org/

Publication series

Name	European Journal of Nuclear Medicine and Molecular Imaging
Publisher	Springer Link
Number	Suppl 1
Volume	49
ISSN (Print)	1619-7070
ISSN (Electronic)	1619-7089

Conference

Conference	2022 - EANM - 35th Annual Congress of the European Association of Nuclear Medicine
Country/Territory	Spain
City	Barcelona
Period	2022-10-15 → 2022-10-19
Internet address	http://eanm22.eanm.org/

Access to Document

https://www.dosisoft.com/2022/09/29/5629/License: Unspecified

http://10.1007/s00259-022-05924-4License: Unspecified

Cite this

Kayal, G., Barbosa Parada, N., Calderon Marin, C., Ferrer, L., Negrin, J. A. F., Grosev, D., Gupta, S., Hidayati, N. R., Hobbs, R., Moalosi, T., Poli, G., Tsapaki, V., Vauclin, S., Vergara Gil, A., & Bardiès, M. (2022). Generation of a benchmark dosimetry dataset- An IAEA study. In European Journal of Nuclear Medicine and Molecular Imaging: Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022 (pp. S395). Article EPS-214 (European Journal of Nuclear Medicine and Molecular Imaging; Vol. 49, No. Suppl 1). Springer Link. https://doi.org/https://www.dosisoft.com/2022/09/29/5629/

Kayal, Gunjan ; Barbosa Parada, N. ; Calderon Marin, C. et al. / Generation of a benchmark dosimetry dataset- An IAEA study. European Journal of Nuclear Medicine and Molecular Imaging: Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022 . Barcelona, Spain : Springer Link, 2022. pp. S395 (European Journal of Nuclear Medicine and Molecular Imaging; Suppl 1).

@inproceedings{2718902612714fe0bd4d86206b52e75d,

title = "Generation of a benchmark dosimetry dataset- An IAEA study",

abstract = "With the development of clinical dosimetry solutions for molecular radiotherapy (including CE-marked or FDA approved commercial software), it is critical to generate means for evaluating the precision and accuracy of the procedure. Thiswork aimed at designing a benchmark dataset for use in clinical dosimetry, to help professionals assess their proficiency of the software.",

keywords = "Benchmark dosimetry dataset, IAEA, Clinical dosimetry, DOSIsoft",

author = "Gunjan Kayal and {Barbosa Parada}, N. and {Calderon Marin}, C. and Ludovic Ferrer and J.A.F. Negrin and D. Grosev and Surya Gupta and N.R. Hidayati and R. Hobbs and Tumelo Moalosi and G. Poli and V. Tsapaki and S. Vauclin and {Vergara Gil}, Alex and Manuel Bardi{\`e}s",

note = "Score=3; 2022 - EANM - 35th Annual Congress of the European Association of Nuclear Medicine ; Conference date: 15-10-2022 Through 19-10-2022",

year = "2022",

month = oct,

doi = "https://www.dosisoft.com/2022/09/29/5629/",

language = "English",

series = "European Journal of Nuclear Medicine and Molecular Imaging",

publisher = "Springer Link",

number = "Suppl 1",

pages = "S395",

booktitle = "European Journal of Nuclear Medicine and Molecular Imaging",

url = "http://eanm22.eanm.org/",

}

Kayal, G, Barbosa Parada, N, Calderon Marin, C, Ferrer, L, Negrin, JAF, Grosev, D, Gupta, S, Hidayati, NR, Hobbs, R, Moalosi, T, Poli, G, Tsapaki, V, Vauclin, S, Vergara Gil, A & Bardiès, M 2022, Generation of a benchmark dosimetry dataset- An IAEA study. in European Journal of Nuclear Medicine and Molecular Imaging: Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022 ., EPS-214, European Journal of Nuclear Medicine and Molecular Imaging, no. Suppl 1, vol. 49, Springer Link, Barcelona, Spain, pp. S395, 2022 - EANM - 35th Annual Congress of the European Association of Nuclear Medicine, Barcelona, Spain, 2022-10-15. https://doi.org/https://www.dosisoft.com/2022/09/29/5629/

Generation of a benchmark dosimetry dataset- An IAEA study. / Kayal, Gunjan; Barbosa Parada, N.; Calderon Marin, C. et al.
European Journal of Nuclear Medicine and Molecular Imaging: Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022 . Barcelona, Spain: Springer Link, 2022. p. S395 EPS-214 (European Journal of Nuclear Medicine and Molecular Imaging; Vol. 49, No. Suppl 1).

Research output › peer-review

TY - GEN

T1 - Generation of a benchmark dosimetry dataset- An IAEA study

AU - Kayal, Gunjan

AU - Barbosa Parada, N.

AU - Calderon Marin, C.

AU - Ferrer, Ludovic

AU - Negrin, J.A.F.

AU - Grosev, D.

AU - Gupta, Surya

AU - Hidayati, N.R.

AU - Hobbs, R.

AU - Moalosi, Tumelo

AU - Poli, G.

AU - Tsapaki, V.

AU - Vauclin, S.

AU - Vergara Gil, Alex

AU - Bardiès, Manuel

N1 - Score=3

PY - 2022/10

Y1 - 2022/10

N2 - With the development of clinical dosimetry solutions for molecular radiotherapy (including CE-marked or FDA approved commercial software), it is critical to generate means for evaluating the precision and accuracy of the procedure. Thiswork aimed at designing a benchmark dataset for use in clinical dosimetry, to help professionals assess their proficiency of the software.

AB - With the development of clinical dosimetry solutions for molecular radiotherapy (including CE-marked or FDA approved commercial software), it is critical to generate means for evaluating the precision and accuracy of the procedure. Thiswork aimed at designing a benchmark dataset for use in clinical dosimetry, to help professionals assess their proficiency of the software.

KW - Benchmark dosimetry dataset

KW - IAEA

KW - Clinical dosimetry

KW - DOSIsoft

UR - https://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objaction=overview&objid=53292836

U2 - https://www.dosisoft.com/2022/09/29/5629/

DO - https://www.dosisoft.com/2022/09/29/5629/

M3 - In-proceedings paper

T3 - European Journal of Nuclear Medicine and Molecular Imaging

SP - S395

BT - European Journal of Nuclear Medicine and Molecular Imaging

PB - Springer Link

CY - Barcelona, Spain

T2 - 2022 - EANM - 35th Annual Congress of the European Association of Nuclear Medicine

Y2 - 15 October 2022 through 19 October 2022

ER -

Kayal G, Barbosa Parada N, Calderon Marin C, Ferrer L, Negrin JAF, Grosev D et al. Generation of a benchmark dosimetry dataset- An IAEA study. In European Journal of Nuclear Medicine and Molecular Imaging: Annual Congress of the European Association of Nuclear Medicine October 15-19, 2022 . Barcelona, Spain: Springer Link. 2022. p. S395. EPS-214. (European Journal of Nuclear Medicine and Molecular Imaging; Suppl 1). doi: https://www.dosisoft.com/2022/09/29/5629/