scholarly journals 177Lu-DOTA-0-Tyr3-Octreotate Infusion Modeling for Real-Time Detection and Characterization of Extravasation During PRRT

Author(s):  
Mazzara Christophe ◽  
Julien Salvadori ◽  
Florian Ritzenthaler ◽  
Simon Martin ◽  
Clémence Porot ◽  
...  

Abstract Purpose. Given the recent and rapid development of peptide receptor radionuclide therapy (PRRT), increasing emphasis should be placed on the early identification and quantification of therapeutic radiopharmaceutical (thRPM) extravasation during intravenous administration. Herein, we provide an analytical model of 177Lu-DOTA0-Tyr3-octreotate (Lutathera®) infusion for real-time detection and characterization of thRPM extravasation. Methods. For 33 Lutathera®-based PRRT procedures using the gravity infusion method, equivalent dose rates (EDRs) were monitored at the patient’s arm. Models of flow dynamics for nonextravasated and extravasated infusions were elaborated and compared to experimental data through an equivalent dose rate (EDR) calibration. Nonextravasated infusion was modeled by assuming constant volume dilution of 177Lu activity concentration in the vial and Poiseuille-like laminar flow through the tubing and patient vein. Extravasated infusions were modeled according to their onset times by considering elliptically shaped extravasation with different aspect ratios. Results. Over the 33 procedures, the peak of the median EDR was reached 14 min after the start of the infusion with a value of 450 uSv/h. On the basis of experimental measurements, 1 mSv/h was considered the empirical threshold for Lutathera® extravasation requiring cessation of the infusion and start again with a new route of injection. According to our model, the concentration of extravascular activity was directly related to the time of extravasation onset and its duration, a finding inherent in the gravity infusion method. This result should be considered when planning therapeutic strategy in the case of RPM extravasation because the local absorbed dose for β-emitters is closely linked to activity concentration. For selected EDR values, charts of extravasated activity, volume, and activity concentration were computed for extravasation characterization. Conclusion. We proposed an analytical model of Lutathera® infusion and extravasation (gravity method) based on EDR monitoring. This approach could be useful for the early detection of thRPM extravasation and for the real-time assessment of activity concentration and volume accumulation in the extravascular medium.

2002 ◽  
Vol 01 (05n06) ◽  
pp. 663-666
Author(s):  
DO-KYUN KIM ◽  
YOUNG-SOO KWON ◽  
EIICHI TAMIYA

In this research, we report the characterization of the probe and target oligonucleotide hybridization reaction using the evanescent field microscopy. For detection of DNA hybridization assay, a high-density array of sensor probes were prepared by randomly distributing a mixture of particles immobilized with oligonucleotides for DNA chip applications. With the evanescent field excitation and real-time detection method, we suggest that a very sharp discrimination of bulk fluorescence against surface excitation in combination with high excitation intensities can be achieved.


2016 ◽  
Vol 43 (13) ◽  
pp. 6960-6967 ◽  
Author(s):  
Andrea Manconi ◽  
Matteo Picozzi ◽  
Velio Coviello ◽  
Francesca De Santis ◽  
Luca Elia

2021 ◽  
Vol 133 (1021) ◽  
pp. 034503
Author(s):  
Chung-Kai Huang ◽  
Matthew J. Lehner ◽  
Agueda Paula Granados Contreras ◽  
Joel H. Castro-Chacón ◽  
Wen-Ping Chen ◽  
...  

Lab on a Chip ◽  
2014 ◽  
Vol 14 (14) ◽  
pp. 2469-2479 ◽  
Author(s):  
Piyush Dak ◽  
Aida Ebrahimi ◽  
Muhammad A. Alam

We provide a robust numerical/analytical model for real-time on chip characterization of an evaporating droplet for biosensing and microfluidic applications.


2021 ◽  
Vol 11 (16) ◽  
pp. 7475
Author(s):  
Dainius Jasaitis ◽  
Milda Pečiulienė

The change of natural ionizing radiation and the radon exhalation rates from typical building materials in underground parking lots are presented in the article. The activity concentration of natural radionuclides 232Th, 226Ra, and 40K in six important types of construction materials, which are mostly used in Lithuania, were analyzed using high-resolution gamma spectroscopy. The highest values were found in concrete and ferroconcrete samples: 226Ra 44 and 90 Bq kg−1; 232Th 29 and 34 Bq kg−1; 40K 581 and 603 Bq kg−1. A strong positive correlation (0.88) was observed between radium activity concentration and radon concentration. The activity indexes (Iα and Iγ) and radium equivalent activity (Req) evaluating the suitability of materials for such constructions from the view of radiation safety were determined. The average values of the calculated absorbed dose rate in samples ranged from 18.24 nGy h−1 in the sand to 87.26 nGy h−1 in ferroconcrete. The calculated annual effective dose was below the limit of 1.0 mSv y−1. The values of the external and internal hazards index (Hex and Hin) were all below unity, and the values of Iγ and Iα were below the recommended levels of 0.5 and 1. Dosimetric analysis of underground parking lots was carried out. It was determined that the external equivalent dose rate caused by the 222Rn progeny radiation in the underground car parking lots varies from 17 to 30% of the total equivalent dose rate.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jiuwu Sun ◽  
Zhijing Xu ◽  
Shanshan Liang

With the rapid development of the marine industry, intelligent ship detection plays a very important role in the marine traffic safety and the port management. Current detection methods mainly focus on synthetic aperture radar (SAR) images, which is of great significance to the field of ship detection. However, these methods sometimes cannot meet the real-time requirement. To solve the problems, a novel ship detection network based on SSD (Single Shot Detector), named NSD-SSD, is proposed in this paper. Nowadays, the surveillance system is widely used in the indoor and outdoor environment, and its combination with deep learning greatly promotes the development of intelligent object detection and recognition. The NSD-SSD uses visual images captured by surveillance cameras to achieve real-time detection and further improves detection performance. First, dilated convolution and multiscale feature fusion are combined to improve the small objects’ performance and detection accuracy. Second, an improved prediction module is introduced to enhance deeper feature extraction ability of the model, and the mean Average Precision (mAP) and recall are significant improved. Finally, the prior boxes are reconstructed by using the K-means clustering algorithm, the Intersection-over-Union (IoU) is higher, and the visual effect is better. The experimental results based on ship images show that the mAP and recall can reach 89.3% and 93.6%, respectively, which outperforms the representative model (Faster R-CNN, SSD, and YOLOv3). Moreover, our model’s FPS is 45, which can meet real-time detection acquirement well. Hence, the proposed method has the better overall performance and achieves higher detection efficiency and better robustness.


2018 ◽  
Vol 10 (4) ◽  
pp. 2022-2032 ◽  
Author(s):  
S. E. Calhoun ◽  
C. J. Meunier ◽  
C. A. Lee ◽  
G. S. McCarty ◽  
L. A. Sombers

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