Background: The benefits of proton therapy in the treatment of patients with Hodgkin lymphoma (HL) are controversially discussed. Therefore we compared intensitiy modulated proton therapy (IMPT) with intensity modulated radiotherapy (IMRT), in the form of volumetric modulated arc therapy (VMAT) in patients with Hodgkin lymphoma (HL), through a comparative treatment planning study.
Methods: Radiation plans for 21 patients with Hodgkin Lymphoma (HL) were computed for IMPT and deep inspiration breath hold (DIBH) VMAT. Plans were optimized and computed assuming deep inspiration breath holding conditions. Dosimetric comparison on standard metrics from dose volume histograms was performed to appraise the relative merits of the two techniques, while proton plan robustness was assessed by re-computing the dose distribution of each plan by varying the Hounsfield Units to stopping power calibration by applying a ± 3 and 4% error.
Results: DIBH-VMAT and IMPT both provided excellent coverage, conformity and heterogeneity of the clinical target volume (CTV) and planning target volume (PTV). IMPT reduced mean doses to the breasts, lungs, heart and normal tissue by 38-83%. IMPT significantly reduced mean doses to the heart to < 5 Gy despite bulky mediastinal disease and decreased breast doses in female patients to < 1 Gy. Despite the simulated 3 and 4% miscalibration errors, no remarkable or measurable impact was observed on the organs at risk (OARs).
Conclusions: This is the first comparison between DIBH-VMAT and IMPT in HL treatment. We could demonstrate statistically significant decreases in all dose/volume metrics of the OARs. Regardless of the planning paradigm used, range uncertainties can substantially under dose the PTV, while perhaps not leading to clinically significant deterioration of CTV coverage. With the geometry applied no impact was observed for OARs, suggesting IMPT as a superior technique for potentially reducing future health risks for HL patients.
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http://dx.doi.org/10.1186/s13014-018-1066-2 | DOI Listing |
Biomed Eng Lett
January 2025
Department of Computer Engineering, Kwangwoon University, Seoul, 01897 Republic of Korea.
Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, reinforcement learning has significantly enhanced the performance of control tasks by leveraging deep learning techniques. However, as deep neural networks grow in complexity, they consume more energy and introduce greater latency.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350116, China.
Anticounterfeiting technologies meet challenges in the Internet of Things era due to the rapidly growing volume of objects, their frequent connection with humans, and the accelerated advance of counterfeiting/cracking techniques. Here, we, inspired by biological fingerprints, present a simple anticounterfeiting system based on perovskite quantum dot (PQD) fingerprint physical unclonable function (FPUF) by cooperatively utilizing the spontaneous-phase separation of polymers and selective in situ synthesis PQDs as an entropy source. The FPUFs offer red, green, and blue full-color fingerprint identifiers and random three-dimensional (3D) morphology, which extends binary to multivalued encoding by tuning the perovskite and polymer components, enabling a high encoding capacity (about 10, far surpassing that of biometric fingerprints).
View Article and Find Full Text PDFRadiography (Lond)
January 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong. Electronic address:
Introduction: Deep inspiration breath hold technique has shown promise in reducing cardiac toxicity and improving patient outcomes. However, there is a lack of consensus regarding the implementation of abdominal breath hold technique and its impact on cardiac dose. This systematic review and meta-analysis aim to provide insights into the comparative effectiveness of abdominal and thoracic breath hold in mitigating cardiac toxicity during radiation therapy for left-sided breast cancer.
View Article and Find Full Text PDFPract Radiat Oncol
January 2025
The Legacy Heritage Oncology Center & Dr Larry Norton Institute, Soroka University Medical Center, Ben Gurion University of the Negev, Faculty of Medicine, Be'er Sheva, Israel.
Purpose: Continuous advancements in cancer management have resulted in increased long-term survival rates amongst cancer survivors and in turn have exposed the full extent of radiotherapy-associated morbidities. Radiation-induced coronary heart disease (RICHD) is one of the leading causes of morbidity and mortality in cancer survivors, particularly in those having undergone mediastinal radiation. While mediastinal radiation has been shown to substantially reduce both recurrence and mortality rates in multiple thoracic malignancies, the risk for the development of RICHD is of significant concern.
View Article and Find Full Text PDFFront Bioeng Biotechnol
December 2024
School of Information Engineering, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Introduction: Accurate image segmentation is crucial in medical imaging for quantifying diseases, assessing prognosis, and evaluating treatment outcomes. However, existing methods often fall short in integrating global and local features in a meaningful way, failing to give sufficient attention to abnormal regions and boundary details in medical images. These limitations hinder the effectiveness of segmentation techniques in clinical settings.
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