ArticleInternational journal of computer assisted radiology and surgery2022
DVH-based inverse planning for LDR pancreatic brachytherapy.
Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
purposePancreatic cancer is one of the common types of malignant cancer. Low-dose-rate (LDR) brachytherapy has shown great efficacy in curing pancreatic cancer. However, a long preoperative planning time and an insufficient tumor dose are common issues. In this paper, we present and validate a method for inverse planning using simulated annealing (SA) for the treatment of pancreatic cancer.
methodsThe SA method was used for the inverse planning process. With the help of parallel computation and a quick dose field estimation algorithm. This method allowed inverse planning to be performed quickly. A novel length-control method was used to consider and limit the dose of the organ at risk. The effect of this system was validated by calculating the dose-volume histogram metric and time consumption.
resultsRegarding the percentage of the volume receiving 100% of the prescribed dose (V100), this approach yielded an average difference in V100 of 5.01% for the tumor and of 1.32% for the organ at risk in the small tumor group; in the large tumor group, the average difference in V100 was 2.3% for the tumor and - 4.49% for the organ at risk. The average time required for inverse planning was 1.63 ± 0.26 s for small tumors and 3.81 ± 0.51 s for large tumors. Compared with other inverse planning methods, the optimal quality of the plans yielded by this method was further improved.
conclusionThis paper presents a new type of inverse planning method for the treatment of pancreatic cancer based on SA. Compared with other LDR inverse planning methods, the method presented here can provide the prescribed dose to the tumor while considering the dose of the organ at risk. Also, the required time is significantly lower than other methods. All the experimental results indicate that this method is ready to be applied in further clinical studies.
Indexed as
Identifiers
34914077What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.