VAPOR: Visual Analytics for the Exploration of Pelvic Organ
Variability in Radiotherapy.

J 2020

VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy.

FURMANOVÁ, Katarína, Nicolas GROSSMANN, Ludvig P. MUREN, Oscar CASARES-MAGAZ, Vitali MOISEENKO et. al.

Základní údaje

Originální název

VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy.

Autoři

FURMANOVÁ, Katarína, Nicolas GROSSMANN, Ludvig P. MUREN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P. EINCK, Eduard M. GRÖLLER a Renata G. RAIDOU

Vydání

Computers & Graphics, 2020, 0097-8493

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.936

DOI

http://dx.doi.org/10.1016/j.cag.2020.07.001

UT WoS

000577434300005

Klíčová slova anglicky

Medical visualization; Visual analytics; Comparative visualization; Ensemble visualization; Radiotherapy planning; Cohort study

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 22. 4. 2021 12:44, RNDr. Katarína Furmanová, Ph.D.

Anotace

V originále

In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the nearby pelvic organs. Exploring and analyzing anatomical variability throughout the course of RT can support the design of more robust treatment strategies, while identifying patients that are prone to radiation-induced toxicity. We present VAPOR, a novel application for the exploration of pelvic organ variability in a cohort of patients, across the entire treatment process. Our application addresses: (i) the global exploration and analysis of anatomical variability in an abstracted tabular view, (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated, and (iii) the correlation of anatomical variability with radiation doses and potential toxicity. The workflow is based on available retrospective cohort data, which include segmentations of the bladder, the prostate, and the rectum through the entire treatment period. VAPOR is applied to four usage scenarios, which were conducted with two medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment adaptation to anatomical changes.

Citovat

FURMANOVÁ, Katarína, Nicolas GROSSMANN, Ludvig P. MUREN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P. EINCK, Eduard M. GRÖLLER a Renata G. RAIDOU. VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy. Computers & Graphics. 2020, roč. 91, October 2020, s. 25-38. ISSN 0097-8493. Dostupné z: https://dx.doi.org/10.1016/j.cag.2020.07.001.

@article{1737797,
   author = {Furmanová, Katarína and Grossmann, Nicolas and Muren, Ludvig P. and CasaresandMagaz, Oscar and Moiseenko, Vitali and Einck, John P. and Gröller, Eduard M. and Raidou, Renata G.},
   article_number = {October 2020},
   doi = {http://dx.doi.org/10.1016/j.cag.2020.07.001},
   keywords = {Medical visualization; Visual analytics; Comparative visualization; Ensemble visualization; Radiotherapy planning; Cohort study},
   language = {eng},
   issn = {0097-8493},
   journal = {Computers & Graphics},
   title = {VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy.},
   url = {https://www.sciencedirect.com/science/article/abs/pii/S0097849320300960},
   volume = {91},
   year = {2020}
}

TY  - JOUR
ID  - 1737797
AU  - Furmanová, Katarína - Grossmann, Nicolas - Muren, Ludvig P. - Casares-Magaz, Oscar - Moiseenko, Vitali - Einck, John P. - Gröller, Eduard M. - Raidou, Renata G.
PY  - 2020
TI  - VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy.
JF  - Computers & Graphics
VL  - 91
IS  - October 2020
SP  - 25-38
EP  - 25-38
SN  - 00978493
KW  - Medical visualization
KW  - Visual analytics
KW  - Comparative visualization
KW  - Ensemble visualization
KW  - Radiotherapy planning
KW  - Cohort study
UR  - https://www.sciencedirect.com/science/article/abs/pii/S0097849320300960
N2  - In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the nearby pelvic organs. Exploring and analyzing anatomical variability throughout the course of RT can support the design of more robust treatment strategies, while identifying patients that are prone to radiation-induced toxicity. We present VAPOR, a novel application for the exploration of pelvic organ variability in a cohort of patients, across the entire treatment process. Our application addresses: (i) the global exploration and analysis of anatomical variability in an abstracted tabular view, (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated, and (iii) the correlation of anatomical variability with radiation doses and potential toxicity. The workflow is based on available retrospective cohort data, which include segmentations of the bladder, the prostate, and the rectum through the entire treatment period. VAPOR is applied to four usage scenarios, which were conducted with two medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment adaptation to anatomical changes.
ER  -

FURMANOVÁ, Katarína, Nicolas GROSSMANN, Ludvig P. MUREN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P. EINCK, Eduard M. GRÖLLER a Renata G. RAIDOU. VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy. \textit{Computers \&{} Graphics}. 2020, roč.~91, October 2020, s.~25-38. ISSN~0097-8493. Dostupné z: https://dx.doi.org/10.1016/j.cag.2020.07.001.

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