Image-Guided Radiation Therapy for Cancer

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 3220

Special Issue Editors


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Guest Editor
2nd Department of Radiology, Medical Physics Unit (Attikon Hospital), School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
Interests: medical physics in radiation oncology; stereotactic radiotherapy; TSEB; dosimetry; modern techniques and quality assurance in radiotherapy

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Guest Editor
2nd Department of Radiology, Radiation Oncology Unit (Attikon Hospital), School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
Interests: radiation oncology; bioengineering; stereotactic radiotherapy; radiobiology; quality assurance in radiotherapy; modern techniques

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Guest Editor
Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Zografos, Greece
Interests: medical imaging; biomedical signal processing; medical decision support systems; E-M health; biosensors; virtual reality applications
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Special Issue Information

Dear Colleagues,

The need to incorporate imaging in the area of radiation therapy (RT) has been apparent for decades since 2D imaging data were used to verify the RT treatment. Nowadays, image-guided radiation therapy (IGRT) uses a wide range of imaging technology to improve the precision of RT delivery. IGRT reduces set-up errors, enabling a decrease in clinical target volume (CTV) to planning target volume (PTV) margins utilized in treatment planning, leading to better sparing for the organs at risk. Moreover, IGRT assists in offline or online adaptive treatment planning by monitoring anatomical changes over RT sessions. Advances in IGRT technology, such as real-time tracking used to monitor intrafraction motion, are essential for hypofractionated RT such as stereotactic body radiation therapy (SBRT) and stereotactic radiosurgery (SRS). This Special Issue welcomes the submission of original and review articles dealing with cutting-edge IGRT technology, their clinical perspectives, and subsequent challenges. Topics for this Special Issue include, but are not limited to, the following:

  • Surface-guided radiation therapy (SGRT), optical tracking;
  • Real-time adaptive RT;
  • Motion management in RT (4DCT, gating, tracking);
  • Image guidance in SBRT and SRS;
  • Magnetic resonance imaging (MRI)-guided RT;
  • Image guided proton therapy (IGPT);
  • Artificial intelligence (AI)-based IGRT.

Dr. Kalliopi Platoni
Dr. Vassilis Kouloulias
Prof. Dr. George K. Matsopoulos
Guest Editors

Manuscript Submission Information

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Keywords

  • image
  • motion management in radiation therapy
  • surface-guided radiation therapy
  • adaptive radiotherapy
  • artificial intelligence
  • stereotactic radiotherapy

Published Papers (2 papers)

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Review

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20 pages, 334 KiB  
Review
Surface-Guided Radiotherapy: Can We Move on from the Era of Three-Point Markers to the New Era of Thousands of Points?
by Michalis Psarras, Despoina Stasinou, Theodoros Stroubinis, Maria Protopapa, Anna Zygogianni, Vassilis Kouloulias and Kalliopi Platoni
Bioengineering 2023, 10(10), 1202; https://doi.org/10.3390/bioengineering10101202 - 16 Oct 2023
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Abstract
The surface-guided radiotherapy (SGRT) technique improves patient positioning with submillimeter accuracy compared with the conventional positioning technique of lasers using three-point tattoos. SGRT provides solutions to considerations that arise from the conventional setup technique, such as variability in tattoo position and the psychological [...] Read more.
The surface-guided radiotherapy (SGRT) technique improves patient positioning with submillimeter accuracy compared with the conventional positioning technique of lasers using three-point tattoos. SGRT provides solutions to considerations that arise from the conventional setup technique, such as variability in tattoo position and the psychological impact of the tattoos. Moreover, SGRT provides monitoring of intrafractional motion. Purpose: This literature review covers the basics of SGRT systems and examines whether SGRT can replace the traditional positioning technique. In addition, it investigates SGRT’s potential in reducing positioning times, factors affecting SGRT accuracy, the effectiveness of live monitoring, and the impact on patient dosage. Materials and Methods: This study focused on papers published from 2016 onward that compared SGRT with the traditional positioning technique and investigated factors affecting SGRT accuracy and effectiveness. Results/Conclusions: SGRT provides the same or better results regarding patient positioning. The implementation of SGRT can reduce overall treatment time. It is an effective technique for detecting intrafraction patient motion, improving treatment accuracy and precision, and creating a safe and comfortable environment for the patient during treatment. Full article
(This article belongs to the Special Issue Image-Guided Radiation Therapy for Cancer)

Other

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11 pages, 2595 KiB  
Technical Note
Exploratory Analysis of Image-Guided Ionizing Radiation Delivery to Induce Long-Term Iron Accumulation and Ferritin Expression in a Lung Injury Model: Preliminary Results
by Amira Zaher, Bryce Duchman, Marina Ivanovic, Douglas R. Spitz, Muhammad Furqan, Bryan G. Allen and Michael S. Petronek
Bioengineering 2024, 11(2), 182; https://doi.org/10.3390/bioengineering11020182 - 14 Feb 2024
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Abstract
Background: Radiation therapy (RT) is an integral and commonly used therapeutic modality for primary lung cancer. However, radiation-induced lung injury (RILI) limits the irradiation dose used in the lung and is a significant source of morbidity. Disruptions in iron metabolism have been linked [...] Read more.
Background: Radiation therapy (RT) is an integral and commonly used therapeutic modality for primary lung cancer. However, radiation-induced lung injury (RILI) limits the irradiation dose used in the lung and is a significant source of morbidity. Disruptions in iron metabolism have been linked to radiation injury, but the underlying mechanisms remain unclear. Purpose: To utilize a targeted radiation delivery approach to induce RILI for the development of a model system to study the role of radiation-induced iron accumulation in RILI. Methods: This study utilizes a Small Animal Radiation Research Platform (SARRP) to target the right lung with a 20 Gy dose while minimizing the dose delivered to the left lung and adjacent heart. Long-term pulmonary function was performed using RespiRate-x64image analysis. Normal-appearing lung volumes were calculated using a cone beam CT (CBCT) image thresholding approach in 3D Slicer software. Quantification of iron accumulation was performed spectrophotometrically using a ferrozine-based assay as well as histologically using Prussian blue and via Western blotting for ferritin heavy chain expression. Results: Mild fibrosis was seen histologically in the irradiated lung using hematoxylin and eosin-stained fixed tissue at 9 months, as well as using a scoring system from CBCT images, the Szapiel scoring system, and the highest fibrotic area metric. In contrast, no changes in breathing rate were observed, and median survival was not achieved up to 36 weeks following irradiation, consistent with mild lung fibrosis when only one lung was targeted. Our study provided preliminary evidence on increased iron content and ferritin heavy chain expression in the irradiated lung, thus warranting further investigation. Conclusions: A targeted lung irradiation model may be a useful approach for studying the long-term pathological effects associated with iron accumulation and RILI following ionizing radiation. Full article
(This article belongs to the Special Issue Image-Guided Radiation Therapy for Cancer)
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