Exploratory study of seed spots analysis to characterize dose and linear-energy-transfer effect in adverse event initialization of pencil-beam-scanning proton therapy.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Sep 2022
Historique:
revised: 20 06 2022
received: 07 03 2022
accepted: 06 07 2022
pubmed: 13 7 2022
medline: 15 9 2022
entrez: 12 7 2022
Statut: ppublish

Résumé

Both dose and linear energy transfer (LET) could play a substantial role in adverse event (AE) initialization of cancer patients treated with pencil-beam-scanning (PBS) proton therapy. However, not all the voxels within the AE regions are directly induced from the dose and LET effect. It is important to study the synergistic effect of dose and LET in AE initialization by only including a subset of voxels that are dosimetrically important. To perform exploratory investigation of the dose and LET effects upon AE initialization in PBS using seed spots analysis. A total of 113 head-and-neck (H&N) cancer patients receiving curative PBS were included. Among them, 20 patients experienced unanticipated CTCAEv4.0 grade ≥3 AEs (AE group) and 93 patients did not (control group). Within the AE group, 13 AE patients were included in the seed spot analysis to derive the descriptive features of AE initialization and the remaining 7 mandible osteoradionecrosis patients and 93 control patients were used to derive the feature-based volume constraint of mandible osteoradionecrosis. The AE regions were contoured and the corresponding dose-LET volume histograms of AE regions were generated for all patients in the AE group. We selected high LET voxels (the highest 5% of each dose bin) with a range of moderate-to-high dose (≥∼40-Gy relative biological effectiveness) as critical voxels. Critical voxels that were contiguous with each other were grouped into clusters. Each cluster was considered a potential independent seed spot for AE initialization. Seed spots were displayed in a 2D dose-LET plane based on their mean dose and LET to derive the descriptive features of AE initialization. A volume constraint of mandible osteoradionecrosis was then established based on the extracted features using a receiver operating characteristic curve. The product of dose and LET (xBD) was found to be a descriptive feature of seed spots leading to AE initialization in this preliminary study. The derived xBD volume constraint for mandible osteoradionecrosis showed good performance with an area under curve of 0.87 (sensitivity of 0.714 and specificity of 0.807 in the leave-one-out cross-validation) for the very limited patient data included in this study. Our exploratory study showed that both dose and LET were observed to be important in AE initializations. The derived xBD volume constraint could predict mandible osteoradionecrosis reasonably well in the very limited H&N cancer patient data treated with PBS included in this study.

Sections du résumé

BACKGROUND BACKGROUND
Both dose and linear energy transfer (LET) could play a substantial role in adverse event (AE) initialization of cancer patients treated with pencil-beam-scanning (PBS) proton therapy. However, not all the voxels within the AE regions are directly induced from the dose and LET effect. It is important to study the synergistic effect of dose and LET in AE initialization by only including a subset of voxels that are dosimetrically important.
PURPOSE OBJECTIVE
To perform exploratory investigation of the dose and LET effects upon AE initialization in PBS using seed spots analysis.
METHODS METHODS
A total of 113 head-and-neck (H&N) cancer patients receiving curative PBS were included. Among them, 20 patients experienced unanticipated CTCAEv4.0 grade ≥3 AEs (AE group) and 93 patients did not (control group). Within the AE group, 13 AE patients were included in the seed spot analysis to derive the descriptive features of AE initialization and the remaining 7 mandible osteoradionecrosis patients and 93 control patients were used to derive the feature-based volume constraint of mandible osteoradionecrosis. The AE regions were contoured and the corresponding dose-LET volume histograms of AE regions were generated for all patients in the AE group. We selected high LET voxels (the highest 5% of each dose bin) with a range of moderate-to-high dose (≥∼40-Gy relative biological effectiveness) as critical voxels. Critical voxels that were contiguous with each other were grouped into clusters. Each cluster was considered a potential independent seed spot for AE initialization. Seed spots were displayed in a 2D dose-LET plane based on their mean dose and LET to derive the descriptive features of AE initialization. A volume constraint of mandible osteoradionecrosis was then established based on the extracted features using a receiver operating characteristic curve.
RESULTS RESULTS
The product of dose and LET (xBD) was found to be a descriptive feature of seed spots leading to AE initialization in this preliminary study. The derived xBD volume constraint for mandible osteoradionecrosis showed good performance with an area under curve of 0.87 (sensitivity of 0.714 and specificity of 0.807 in the leave-one-out cross-validation) for the very limited patient data included in this study.
CONCLUSION CONCLUSIONS
Our exploratory study showed that both dose and LET were observed to be important in AE initializations. The derived xBD volume constraint could predict mandible osteoradionecrosis reasonably well in the very limited H&N cancer patient data treated with PBS included in this study.

Identifiants

pubmed: 35820062
doi: 10.1002/mp.15859
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6237-6252

Subventions

Organisme : Arizona Biomedical Research Commission Investigator Award, the Lawrence W. and Marilyn W. Matteson Fund for Cancer Research, and the Kemper Marley Foundation

Informations de copyright

© 2022 American Association of Physicists in Medicine.

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Auteurs

Yunze Yang (Y)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Samir H Patel (SH)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Jidapa Bridhikitti (J)

Department of Radiation Oncology, Mayo Clinic Rochester, Rochester, Minnesota, USA.

William W Wong (WW)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Michele Y Halyard (MY)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Lisa A McGee (LA)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Jean-Claude M Rwigema (JM)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Steven E Schild (SE)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Sujay A Vora (SA)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Tianming Liu (T)

Department of Computer Science, The University of Georgia, Athens, Georgia, USA.

Martin Bues (M)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Mirek Fatyga (M)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Robert L Foote (RL)

Department of Radiation Oncology, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Wei Liu (W)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

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