Dicomhandler: Python tool for manipulating DICOM files and its application for radiosurgery

Rojas-López, José Alejandro; Fotinós, Jerónimo; Maddalozzo, Nicola

doi:10.1016/j.simpa.2023.100487

Cited by 2 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accessibility of information accessed in this way can only happen legally by the patient's tacit consent, and it can happen to a competent patient. The disadvantage of a normal site or link is that even if it is blockchainized, it is pierced by linear combination [12].…”

Section: Discussionmentioning

confidence: 99%

Encryption Gradient of Patients’ EMR using Forms of DICOM

Regis Anyanwu,

Kim

2023

Cancer Sci Re

View full text Add to dashboard Cite

Data protection is important. it is especially required for competent patient protection. If it is not done well, it can pose various problems. The problems of leakage can make patients vulnerable. This literally means that the healthcare environment can be threatened in this aspect. DICOM is a digitalized image compression technique using radiologic materials. It restores CT, PET-CT, and X-ray images in order to gain a specific image. It is then compiled to be sent as PACS. These imaging techniques use matrix as a data presenting method. However, it is sent in a linear form. It does not mean that it is not protected, but it means that there are various risks to be managed. In our report, we review that, in the future, a double layer of encryption with patient voice can dramatically evolve the probability of accessing patient healthcare data. This can also be applied in EMR or EHR in the future. The limitations of this study are that there are still risks of cyber-attack. The DDoS can totally make the system function down. However, we see this as a different problem as this is an electronic source matter rather than a hack of preserved data.

show abstract

Section: Discussionmentioning

confidence: 99%

Encryption Gradient of Patients’ EMR using Forms of DICOM

Regis Anyanwu,

Kim

2023

Cancer Sci Re

View full text Add to dashboard Cite

show abstract

“…The shifts were performed with Python tools. It was built a Python open-source code, that uses DICOM files to provide and manage relevant information for research and clinical staff and induced errors for establishing individual margins for intracranial lesions in SIMM-SRS [39]. For statistical analysis, Spearman's correlation coefficient was calculated on Python v.3.10 to determine the correlation between the distance to isocenter and the maximum induced error.…”

Section: Induced Shiftsmentioning

confidence: 99%

Assessment of PTV margin adequacy for single isocenter multiple brain metastases using genetic algorithms

Rojas-López

Venencia²,

Chesta

et al. 2023

Biomed. Phys. Eng. Express

Self Cite

View full text Add to dashboard Cite

Purpose: To study the impact on dose coverage and the dose to the healthy tissue applying optimized margins in single isocenter multiple brain metastases radiosurgery (SIMM-SRS) in linac machine based on setup rotations/translations induced errors calculated by a genetic algorithm (GA).Method: The following quality indices of SIMM-SRS were analyzed for 32 plans (256 lesions): Paddick conformity index (PCI), gradient index (GI), maximum (Dmax) and mean (Dmean) doses, local and global V12 for the healthy brain. A GA based on Python packages were used to determine the maximum shift produced by induced errors of 0.2º/0.2 mm, and 0.5º/0.5 mm in 6 degrees of freedom.Results: In terms of Dmax, and Dmean, the quality of the optimized-margin plans remains unchanged (p>0.072) concerning the original plan. However, considering the 0.5º/0.5 mm plans, PCI and GI decreased for ≥ 10 metastases, and local, and global V12 increased considerably in all cases. To consider 0.2º/0.2 mm plans, PCI and GI get worse but local, and global V12 improved in all cases.Conclusion: GA facilities to find the individualized margins automatically among the number of possible permutations of the setup order. The user-dependent margins are avoided. This computational approach takes into account more SRS sources of uncertainty, enabling the protection of the healthy brain by “smartly” reducing the margins, and maintaining clinically acceptable target volumes’ coverage in most cases.

show abstract

Dicomhandler: Python tool for manipulating DICOM files and its application for radiosurgery

Cited by 2 publications

References 14 publications

Encryption Gradient of Patients’ EMR using Forms of DICOM

Encryption Gradient of Patients’ EMR using Forms of DICOM

Assessment of PTV margin adequacy for single isocenter multiple brain metastases using genetic algorithms

Contact Info

Product

Resources

About