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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Planning Nursing Care I01:21

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The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
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Planning Nursing Care II01:29

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A nursing care plan can present in two forms: informal and formal. Informal is a care plan for the individual use of the nurse and goals they wish to accomplish during their shift. Informal care plans are not included in the patient chart. A formal nursing care plan is a written or computerized guide that organizes patient care. It is further subdivided into two: standardized and individualized care plans. Standardized care plans are pre-populated care plans for specific patient populations,...
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Role of Communication in the Nursing Process II: Planning and Implementation01:25

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Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...
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Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
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Chemical stoichiometry describes the quantitative relationships between reactants and products in chemical reactions.
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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Robust radiotherapy planning.

Jan Unkelbach1, Markus Alber2,3, Mark Bangert3,4

  • 1Department of Radiation Oncology, University Hospital Zürich, Zürich, Switzerland.

Physics in Medicine and Biology
|November 13, 2018
PubMed
Summary
This summary is machine-generated.

Robust optimization methods overcome limitations of planning target volume (PTV) margins in intensity modulated radiotherapy (IMRT) and proton therapy (IMPT). These advanced techniques directly incorporate motion and uncertainty for improved treatment planning, making PTV obsolete.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Computational Biology

Background:

  • Traditional radiotherapy planning uses planning target volume (PTV) margins to account for motion and uncertainty.
  • The PTV concept has significant limitations, particularly in intensity modulated proton therapy (IMPT).

Purpose of the Study:

  • To review the limitations of the PTV concept in radiotherapy.
  • To introduce robust optimization methods for treatment planning.
  • To discuss applications of robust optimization in intensity modulated radiotherapy (IMRT) and IMPT.

Main Methods:

  • Review of existing literature on PTV limitations and robust optimization.
  • Introduction of robust and probabilistic optimization techniques.
  • Discussion of applications in IMRT and IMPT planning.

Main Results:

  • Robust optimization methods directly incorporate motion and uncertainty into treatment plan optimization.
  • These methods make the explicit definition of a PTV obsolete.
  • IMPT has driven the clinical implementation of robust planning methods.

Conclusions:

  • Robust optimization offers a superior alternative to PTV margins for managing motion and uncertainty in IMRT and IMPT.
  • The adoption of robust planning in commercial systems enhances clinical applicability.
  • Future research may further refine these advanced planning strategies.