Radiation Dosimetry in Selective Internal Radiation Treatment in Patients with Portosystemic Shunts to Umbilical Veins

2016 ◽  
pp. 137-140
Author(s):  
WH Ma ◽  
◽  
S Ng ◽  
WY Ho ◽  
M Law ◽  
...  
2020 ◽  
Author(s):  
Esmaeel Jafargholi Rangraz ◽  
Xikai Tang ◽  
Geert Maleux ◽  
Jeroen Dekervel ◽  
Eric Van Cutsem ◽  
...  

Abstract Selective internal radiation therapy (SIRT) is a promising technique for patients with hepatic malignancies. Several image-based investigations, e.g. volumetric and absorbed dose assessment, are mandatory for SIRT planning and treatment verification based on national and international regulations.General treatment workflows are described in guidelines, recommendations, and the package inserts of the manufactures. But, guidance to tackle particular clinical conditions can be ill-defined and different centers practice their own workflow to analyze the treatment process. This case report includes an example of inconsistency between treatment simulation and observed treatment result, revealed by hybrid imaging. There is no universally accepted standard procedure defined in the literature for detecting and evaluating a possible mismatch between [99mTc]Tc-MAA-based simulation and distribution of the therapeutic microspheres. In this setting, more advanced multi-modal image-based analysis may be beneficial.A 78 year old patient with hepatocellular carcinoma underwent liver radioembolization with resin 90Y-microspheres. Tumoral and non-tumoral dose–volume histograms were evaluated for simulated activity distribution using [99mTc]Tc-MAA-SPECT and post-treatment activity measurement using 90Y-PET. During simulation workup, [99mTc]Tc-MAA particles were administered using a regular catheter. On the other hand, for the treatment session an anti-reflux catheter was used. Our result, suggests that the use of an anti-reflux catheter might improve tumor coverage, and as a result decrease non-tumoral liver uptake deposition.


2013 ◽  
Vol 14 (5) ◽  
pp. 212-221 ◽  
Author(s):  
Sherry C. Ng ◽  
Victor H. Lee ◽  
Martin W. Law ◽  
Rico K. Liu ◽  
Vivian W. Ma ◽  
...  

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. e15174-e15174
Author(s):  
Nakia Lashawn Brooks ◽  
Gaurav Patel ◽  
David J Weitz ◽  
Melinda Kelly ◽  
Madappa N. Kundranda

2013 ◽  
Vol 95 (6) ◽  
pp. e20-e20
Author(s):  
J Burns ◽  
CH Wilson ◽  
J Rose ◽  
R Williams ◽  
R Jackson ◽  
...  

The 2013 Alpine Liver and Pancreatic Surgery meeting was held in Madonna di Campiglio, Italy. The meeting was organised by the Association of Upper Gastrointestinal Surgeons of Great Britain and Ireland. The following abstracts were selected for presentation at the meeting.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Mohammed Goryawala ◽  
Seza Gulec ◽  
Ruchir Bhatt ◽  
Anthony J. McGoron ◽  
Malek Adjouadi

This study introduces a novel liver segmentation approach for estimating anatomic liver volumes towards selective internal radiation treatment (SIRT). The algorithm requires minimal human interaction since the initialization process to segment the entire liver in 3D relied on a single computed tomography (CT) slice. The algorithm integrates a localized contouring algorithm with a modified k-means method. The modified k-means segments each slice into five distinct regions belonging to different structures. The liver region is further segmented using localized contouring. The novelty of the algorithm is in the design of the initialization masks for region contouring to minimize human intervention. Intensity based region growing together with novel volume of interest (VOI) based corrections is used to accomplish the single slice initialization. The performance of the algorithm is evaluated using 34 liver CT scans. Statistical experiments were performed to determine consistency of segmentation and to assess user dependency on the initialization process. Volume estimations are compared to the manual gold standard. Results show an average accuracy of 97.22% for volumetric calculation with an average Dice coefficient of 0.92. Statistical tests show that the algorithm is highly consistent(P=0.55)and independent of user initialization (P=0.20and Fleiss’Kappa=0.77±0.06).


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