Exploratory Investigation of Dose-Linear Energy Transfer (LET) Volume Histogram (DLVH) for Adverse Events Study in Intensity Modulated Proton Therapy (IMPT).


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
15 07 2021
Historique:
received: 10 08 2020
revised: 25 01 2021
accepted: 11 02 2021
pubmed: 24 2 2021
medline: 25 9 2021
entrez: 23 2 2021
Statut: ppublish

Résumé

We proposed a novel tool-a dose linear energy transfer (LET)-volume histogram (DLVH)-and performed an exploratory study to investigate rectal bleeding in prostate cancer treated with intensity modulated proton therapy. The DLVH was constructed with dose and LET as 2 axes, and the normalized volume of the structure was contoured in the dose-LET plane as isovolume lines. We defined the DLVH index, DLv%(d,l) (ie, v% of the structure) to have a dose of ≥d Gy and an LET of ≥l keV/μm, similar to the dose-volume histogram index Dv%. Nine patients with prostate cancer with rectal bleeding (Common Terminology Criteria for Adverse Events grade ≥2) were included as the adverse event group, and 48 patients with no complications were considered the control group. A P value map was constructed by comparison of the DLVH indices of all patients between the 2 groups using the Mann-Whitney U test. Dose-LET volume constraints (DLVCs) were derived based on the P value map with a manual selection procedure facilitated by Spearman's correlation tests. The obtained DLVCs were further cross-validated using a multivariate support vector machine (SVM)-based normal tissue complication probability (NTCP) model with an independent testing data set composed of 8 adverse event and 13 control patients. We extracted 2 DLVC constraints. One DLVC was obtained, Vdose/LETboundary:2.5keVμmat 75 Gy to 3.2keVμmat8.65Gy <1.27% (DLVC1), revealing a high LET volume effect. The second DLVC, V(72.2Gy,0keVμm) < 2.23% (DVLC2), revealed a high dose volume effect. The SVM-based NTCP model with 2 DLVCs provided slightly superior performance than using dose only, with an area under the curve of 0.798 versus 0.779 for the testing data set. Our results demonstrated the importance of rectal "hot spots" in both high LET (DLVC1) and high dose (DLVC2) in inducing rectal bleeding. The SVM-based NTCP model confirmed the derived DLVCs as good predictors for rectal bleeding when intensity modulated proton therapy is used to treat prostate cancer.

Identifiants

pubmed: 33621660
pii: S0360-3016(21)00202-9
doi: 10.1016/j.ijrobp.2021.02.024
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1189-1199

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Yunze Yang (Y)

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

Carlos E Vargas (CE)

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

Ronik S Bhangoo (RS)

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

William W Wong (WW)

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

Steven E Schild (SE)

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

Thomas B Daniels (TB)

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

Sameer R Keole (SR)

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

Jean-Claude M Rwigema (JM)

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

Jennifer L Glass (JL)

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

Jiajian Shen (J)

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

Todd A DeWees (TA)

Division of Biostatics, Mayo Clinic Arizona, Phoenix, Arizona.

Tianming Liu (T)

Department of Computer Science, the University of Georgia, Athens, Georgia.

Martin Bues (M)

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

Mirek Fatyga (M)

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

Wei Liu (W)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona. Electronic address: liu.wei@mayo.edu.

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Classifications MeSH