SBRT planning for spinal metastasis: indications from a large multicentric study.

SBRT-Planung bei Wirbelsäulenmetastasen: Indikationen aus einer großen Multizenterstudie.

Journal

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
ISSN: 1439-099X
Titre abrégé: Strahlenther Onkol
Pays: Germany
ID NLM: 8603469

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 28 05 2018
accepted: 08 10 2018
pubmed: 26 10 2018
medline: 21 11 2019
entrez: 25 10 2018
Statut: ppublish

Résumé

The dosimetric variability in spine stereotactic body radiation therapy (SBRT) planning was investigated in a large number of centres to identify crowd knowledge-based solutions. Two spinal cases were planned by 48 planners (38 centres). The required prescription dose (PD) was 3 × 10 Gy and the planning target volume (PTV) coverage request was: V In all, 12.5% of plans did not meet the protocol requirements. After re-optimization, 98% of plans fulfilled the constraints, showing the positive impact of knowledge sharing. Statistical analysis showed a significant correlation (p < 0.05) between the homogeneity index (HI) and PTV coverage for both cases, while the correlation between HI and spinal cord sparing was significant only for the single dorsal PTV case. Moreover, the multileaf collimator leaf thickness correlated with the spinal cord sparing. Planners using comparable delivery/planning system techniques produced different QI, highlighting the impact of the planner's skills in the optimization process. Both the technology and the planner's skills are fundamentally important in spine SBRT planning optimization. Knowledge sharing helped to follow the plan objectives.

Sections du résumé

BACKGROUND BACKGROUND
The dosimetric variability in spine stereotactic body radiation therapy (SBRT) planning was investigated in a large number of centres to identify crowd knowledge-based solutions.
METHODS METHODS
Two spinal cases were planned by 48 planners (38 centres). The required prescription dose (PD) was 3 × 10 Gy and the planning target volume (PTV) coverage request was: V
RESULTS RESULTS
In all, 12.5% of plans did not meet the protocol requirements. After re-optimization, 98% of plans fulfilled the constraints, showing the positive impact of knowledge sharing. Statistical analysis showed a significant correlation (p < 0.05) between the homogeneity index (HI) and PTV coverage for both cases, while the correlation between HI and spinal cord sparing was significant only for the single dorsal PTV case. Moreover, the multileaf collimator leaf thickness correlated with the spinal cord sparing. Planners using comparable delivery/planning system techniques produced different QI, highlighting the impact of the planner's skills in the optimization process.
CONCLUSION CONCLUSIONS
Both the technology and the planner's skills are fundamentally important in spine SBRT planning optimization. Knowledge sharing helped to follow the plan objectives.

Identifiants

pubmed: 30353349
doi: 10.1007/s00066-018-1383-2
pii: 10.1007/s00066-018-1383-2
doi:

Types de publication

Comparative Study Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

226-235

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Auteurs

Marco Esposito (M)

Medical Physics Complex Unit, Azienda USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Italy. marco1.esposito@uslcentro.toscana.it.

Laura Masi (L)

Department of Medical Physics and Radiation Oncology, IFCA, Florence, Italy.

Margherita Zani (M)

Department of Medical Physics and Radiation Oncology, IFCA, Florence, Italy.

Raffaela Doro (R)

Department of Medical Physics and Radiation Oncology, IFCA, Florence, Italy.

David Fedele (D)

Medical Physics Complex Unit, Azienda USL Toscana Centro, Pistoia, Italy.

Cristina Garibaldi (C)

Radiation Research Unit, European Institute of Oncology IRCCS, Milan, Italy.

Stefania Clemente (S)

UOS di Fisica Sanitaria e Radioprotezione, Azienda Ospedaliera Universitaria Federico II, Naples, Italy.

Christian Fiandra (C)

Department of Oncology, Radiation Oncology Unit, University of Turin, Turin, Italy.

Francesca Romana Giglioli (FR)

A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy.

Carmelo Marino (C)

Medical Physics Department, Humanitas C.C.O., Catania, Italy.

Laura Orsingher (L)

UOC Fisica Sanitaria, Azienda ULSS2 Marca Trevigiana, Treviso, Italy.

Serenella Russo (S)

Medical Physics Complex Unit, Azienda USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Italy.

Michele Stasi (M)

Department of Medical Physics, Azienda Ospedaliera Ordine Mauriziano di Torino, Turin, Italy.

Lidia Strigari (L)

Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer, Institute IFO, Rome, Italy.

Elena Villaggi (E)

S.C. Fisica Sanitaria, Azienda Unità Sanitaria Locale (AUSL) Piacenza, Piacenza, Italy.

Pietro Mancosu (P)

Medical Physics Unit of Radiotherapy Dept., Humanitas Clinical and Research Hospital, Rozzano, Italy.

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