Assessment of dual-energy computed tomography derived virtual monoenergetic imaging for target volume delineation of brain metastases.


Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
10 2023
Historique:
received: 20 02 2023
revised: 21 07 2023
accepted: 24 07 2023
medline: 15 9 2023
pubmed: 4 8 2023
entrez: 3 8 2023
Statut: ppublish

Résumé

Objective and subjective assessment of image quality of brain metastases on dual-energy computed tomography (DECT) virtual monoenergetic imaging (VMI) and its impact on target volume delineation. 26 patients with 37 brain metastases receiving Magnetic Resonance Imaging (MRI) and DECT for stereotactic radiotherapy planning were included in this retrospective analysis. Lesion contrast (LC), contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were assessed for reconstructed VMI at 63 keV and artificial 120 kV Computed Tomography (CT). Image contrast and demarcation of metastases between 120 kV CT, VMI and MRI were subjectively assessed. Brain metastases were delineated by four radiation oncologists on VMI with a fixed or free brain window and contours were compared to solely MRI-based delineation using the Dice similarity coefficient. LC, CNR and SNR were significantly higher in VMI than in 120 kV CT (p < 0.0001). Image contrast and lesion demarcation were significantly better on VMI compared to 120 kV CT (p < 0.0001). Mean gross tumor volume (GTV)/planning target volume (PTV) Dice similarity coefficients were 0.87/0.9 for metastases without imaging uncertainties (no artifacts, calcification or impaired visibility with MRI) but worse for metastases with imaging uncertainties (0.71/0.74). Target volumes delineated on VMI were around 5-10% smaller compared to MRI. Image quality of VMI is objectively and subjectively superior to conventional CT. VMI provides significant advantages in stereotactic radiotherapy planning with improved visibility of brain metastases and geometrically distortion-free representation of brain metastases. Beside a plausibility check of MRI-based target volume delineation, VMI might improve reliability and accuracy in target volume definition particularly in cases with imaging uncertainties with MRI.

Sections du résumé

BACKGROUND
Objective and subjective assessment of image quality of brain metastases on dual-energy computed tomography (DECT) virtual monoenergetic imaging (VMI) and its impact on target volume delineation.
MATERIALS AND METHODS
26 patients with 37 brain metastases receiving Magnetic Resonance Imaging (MRI) and DECT for stereotactic radiotherapy planning were included in this retrospective analysis. Lesion contrast (LC), contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were assessed for reconstructed VMI at 63 keV and artificial 120 kV Computed Tomography (CT). Image contrast and demarcation of metastases between 120 kV CT, VMI and MRI were subjectively assessed. Brain metastases were delineated by four radiation oncologists on VMI with a fixed or free brain window and contours were compared to solely MRI-based delineation using the Dice similarity coefficient.
RESULTS
LC, CNR and SNR were significantly higher in VMI than in 120 kV CT (p < 0.0001). Image contrast and lesion demarcation were significantly better on VMI compared to 120 kV CT (p < 0.0001). Mean gross tumor volume (GTV)/planning target volume (PTV) Dice similarity coefficients were 0.87/0.9 for metastases without imaging uncertainties (no artifacts, calcification or impaired visibility with MRI) but worse for metastases with imaging uncertainties (0.71/0.74). Target volumes delineated on VMI were around 5-10% smaller compared to MRI.
CONCLUSION
Image quality of VMI is objectively and subjectively superior to conventional CT. VMI provides significant advantages in stereotactic radiotherapy planning with improved visibility of brain metastases and geometrically distortion-free representation of brain metastases. Beside a plausibility check of MRI-based target volume delineation, VMI might improve reliability and accuracy in target volume definition particularly in cases with imaging uncertainties with MRI.

Identifiants

pubmed: 37536377
pii: S0167-8140(23)89206-4
doi: 10.1016/j.radonc.2023.109840
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109840

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Johannes Kraft (J)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany. Electronic address: Kraft_j1@ukw.de.

Paul Lutyj (P)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Felix Grabenbauer (F)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Serge-Peer Ströhle (SP)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Jörg Tamihardja (J)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Gary Razinskas (G)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Stefan Weick (S)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Anne Richter (A)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Henner Huflage (H)

Department of Diagnostic and Interventional Radiology, University Hospital Wuerzburg, Wuerzburg, Germany.

Andrea Wittig (A)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Michael Flentje (M)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Dominik Lisowski (D)

Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH