Physics & Imaging in Radiation Oncology

Scope & Guideline

Bridging Physics and Oncology for Enhanced Treatment Outcomes

Introduction

Welcome to the Physics & Imaging in Radiation Oncology information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Physics & Imaging in Radiation Oncology, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN-
PublisherELSEVIER
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationPHYS IMAG RADIAT ONC / Phys. Imag. Radiat. Oncol.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Physics & Imaging in Radiation Oncology' focuses on the integration of physics and imaging techniques to enhance the effectiveness and safety of radiation therapy in oncology. It promotes innovative research methodologies and technological advancements that contribute to improved patient outcomes.
  1. Radiotherapy Physics and Dosimetry:
    Research addressing the physical principles, dosimetry, and optimization of radiation therapy techniques, including advanced modalities such as proton therapy and stereotactic body radiotherapy.
  2. Imaging Techniques in Radiotherapy:
    Exploration of imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) for treatment planning, real-time tracking, and adaptive radiotherapy.
  3. Artificial Intelligence and Machine Learning Applications:
    Studies focusing on the application of AI and machine learning for automated treatment planning, segmentation, and quality assurance in radiotherapy workflows.
  4. Motion Management Strategies:
    Research on techniques and methodologies to manage patient motion during treatment, ensuring precise targeting of tumors while minimizing exposure to surrounding healthy tissues.
  5. Clinical Trials and Outcomes Analysis:
    Investigations into the clinical efficacy of various radiation therapy techniques, including the evaluation of treatment outcomes and side effects in diverse patient populations.
  6. Innovative Technologies and Equipment Development:
    Development and validation of new technologies and devices that enhance imaging quality, treatment accuracy, and patient safety in radiation oncology.
In recent years, several themes have emerged as significant trends within the journal. These areas reflect the current priorities and advancements in the field of radiation oncology, driven by technological innovation and clinical needs.
  1. Hybrid Imaging Techniques:
    The integration of multiple imaging modalities, such as PET/MRI and CT/MRI, is gaining traction for its potential to improve treatment planning and monitoring of therapeutic responses.
  2. Adaptive Radiotherapy:
    An increasing focus on adaptive radiotherapy techniques, which allow for real-time adjustments to treatment plans based on patient-specific factors and tumor motion, is evident in recent publications.
  3. AI-Driven Innovations:
    The application of artificial intelligence and machine learning for automated segmentation, treatment planning, and quality assurance is rapidly trending, with numerous studies showcasing its benefits in enhancing precision and efficiency.
  4. Personalized Medicine Approaches:
    The movement towards personalized treatment strategies, including patient-specific dose optimization and tailored treatment plans based on genetic and imaging biomarkers, is emerging as a critical area of research.
  5. Quality Assurance and Safety Protocols:
    Enhanced focus on developing and validating comprehensive quality assurance protocols and safety measures in radiotherapy workflows reflects a growing commitment to patient safety and treatment efficacy.

Declining or Waning

As the field of radiation oncology evolves, certain research areas have seen a decline in focus within recent publications. This section highlights those themes that appear to be waning in prominence.
  1. Traditional Radiotherapy Techniques:
    Research focusing on conventional radiotherapy techniques, such as standard 3D conformal radiotherapy, is becoming less prominent as interest shifts towards advanced modalities that offer improved precision and personalization.
  2. Basic Radiobiology Studies:
    While still important, there seems to be a decreasing trend in basic radiobiology research as the focus shifts towards clinical applications and translational research that directly impacts patient care.
  3. Single-Modal Imaging Studies:
    There has been a noticeable decline in studies focusing solely on single-modal imaging techniques, like traditional CT, as the trend moves towards multi-modal imaging approaches that provide a more comprehensive view of tumor biology and treatment response.
  4. Non-AI-Based Treatment Planning:
    The emphasis on traditional, non-AI-based treatment planning techniques is waning, with a clear shift towards the integration of AI and machine learning to enhance planning efficiency and accuracy.

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