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Robust automated radiation therapy treatment planning using scenario-specific dose prediction and robust dose mimicking

Eriksson, O. (author)
Zhang, Tianfang (author)
KTH,Matematisk statistik
 (creator_code:org_t)
2022-03-30
2022
English.
In: Medical physics (Lancaster). - : Wiley. - 0094-2405 .- 2473-4209. ; 49:6, s. 3564-3573
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Purpose: We present a framework for robust automated treatment planning using machine learning, comprising scenario-specific dose prediction and robust dose mimicking. Methods: The scenario dose prediction pipeline is divided into the prediction of nominal dose from input image and the prediction of scenario dose from nominal dose, each using a deep learning model with U-net architecture. By using a specially developed dose–volume histogram–based loss function, the predicted scenario doses are ensured sufficient target coverage despite the possibility of the training data being non-robust. Deliverable plans may then be created by solving a robust dose mimicking problem with the predictions as scenario-specific reference doses. Results: Numerical experiments are performed using a data set of 52 intensity-modulated proton therapy plans for prostate patients. We show that the predicted scenario doses resemble their respective ground truth well, in particular while having target coverage comparable to that of the nominal scenario. The deliverable plans produced by the subsequent robust dose mimicking were showed to be robust against the same scenario set considered for prediction. Conclusions: We demonstrate the feasibility and merits of the proposed methodology for incorporating robustness into automated treatment planning algorithms. 

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Samhällsfarmaci och klinisk farmaci (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Social and Clinical Pharmacy (hsv//eng)

Keyword

dose mimicking
knowledge-based planning
robust optimization
scenario dose prediction
Automation
Deep learning
Knowledge based systems
Optimization
Radiotherapy
Dose mimicing
Input image
Knowledge based planning
Learning models
NET architecture
Radiation therapy treatment planning
Target coverage
Treatment planning
Forecasting
adult
algorithm
article
controlled study
dose volume histogram
feasibility study
human
loss of function mutation
male
pipeline
prediction
prostate
proton therapy
intensity modulated radiation therapy
organs at risk
procedures
radiotherapy dosage
radiotherapy planning system
Humans
Radiotherapy Planning
Computer-Assisted
Radiotherapy
Intensity-Modulated

Publication and Content Type

ref (subject category)
art (subject category)

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By the author/editor
Eriksson, O.
Zhang, Tianfang
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Computer Science ...
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Social and Clini ...
Articles in the publication
Medical physics ...
By the university
Royal Institute of Technology

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