Lung cancer has decreased mortality rates each year that can treat with radiotherapy. The radiotherapy module is own by 3D Slicer that is open-source software. The purpose is to determine the distribution of doses on the dose-volume histogram (DVH) and the percentage of the suitability of the 3D Slicer simulation results with the Treatment Planning System (TPS) at MRCCC Siloam Hospital. The data used were three Computed Tomographic images of lung cancer patients obtained from the MRCCC Siloam Hospital. The parameters analyzed included volume, the dose of the target volume, and organ at risk (OAR). Analytical studies were carried out by comparing the target volume with The International Commission on Radiation Unit (ICRU) Report 83 and comparing the OAR regarding dose tolerance. The dose distribution of all patients from the simulated 3D slicer for OAR met the tolerance limit reference recommendations. The Planning Target Volume (PTV) of all patients also matched the evaluation recommended by the ICRU Report 83. The percentage value of the suitability between the 3D Slicer and TPS results for all patients was above 95%. It shows that 3D Slicer can use as a recommendation software for initial radiotherapy planning studies.
The success indicator of radiotherapy planning is that it can deliver a precise and maximum dose to the tumor, and at the same time, health tissues receive a minimum dose. The success can be achieved by understanding the density of the organs that go into the treatment beams because the dose distribution was directly affected by tissue inhomogeneity. Therefore, the study aimed to evaluate the tissue density of DICOM images and the homogeneity of the distribution of dose from treatment planning in lung cancer using 3D Slicer-SlicerRT. The method used in the study was used 3 data of CT and RT – Structures data from The Cancer Imaging Archive (TCIA), NSCLC-Radiomics with a diagnosis of stage IIIB squamous cell carcinoma, the location of right cancer, and only one nodule. The calculation of tissue density values using segment statistics in 3D Slicer was based on CT-DICOM information. While the treatment planning was built using 3D Slicer-SlicerRT with a prescription of 60 Gy/30 fractions. Treatment design used six fields, and optimization was done by combining a gantry angle and beam weight. The results represented that the calculation of tissue density was following the reference standard and relative electron density for each organ. Besides, the study had successfully designed a treatment planning system using 3D Slicer-SlicerRT that fulfilled the total dose standard, was excellent for OAR sparing, and had a homogeneity index for patient data ID 1 until 4 with values of 0.252, 0.009, 0.007, and 0.007, respectively.
Background: Cancer is a deadly disease for anyone. One type of cancer is breast cancer. This type of cancer has a big psychological impact on sufferers because of the risk of breast removal surgery for sufferers so that cancer can destroy their future and changing quality of life. Decreased quality of life in women with breast cancer causes them to be unable to fulfill their roles, duties and also mantaining health status. Therefore, the purposes of this study are to identified quality of life women with breast cancer. Methods: The method of this study used descriptive analysis, the study was conducted in the breast cancer community in Surabaya, East Java. A total of 30 people became respondents to this study and filled in 30 questions of European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C-30 (EORTC QLQ C30). Results: The general health of the patients was an 664.25, which illustrates that the quality of life for cancer patients is in moderate condition. This is because in this study the last week symptoms such as shortness of breath, weakness, pain, difficulty sleeping, loss of appetite, nausea, vomiting, difficulty defecating, diarrhea, fatigue, difficulty concentrating, tension, difficulty walking close, lying in a chair / mattress is reduced or not. They still find it difficult to do strenuous activities, walk long distances, feel worried, have difficulty remembering and exper.ience financial difficulties. However, their lives are not disrupted due to physicality or therapy Conclusion: The general health of breast cancer patients in the Surabaya breast cancer community is an 664.25, which describes the quality of life of cancer patients in moderate condition . It is expected that the hospital can socialize about the group of breast cancer to patients so that patients can share experience, obtain various health-related information, and will make patients feel they have many friends with cancer fighters so that it will further improve the quality of life
Treatment planning aimed to provide the maximum dose to target tumor and minimize doses received by healthy tissue. Dose-volume histograms contain essential information about the dose distribution that radiation oncologists use in considering a treatment planning. In breast cancer mastectomy, the thickness of the thorax wall has decreased because of surgery. Therefore it is necessary to analyze the dose received by healthy tissue around the tumor. This study analyzes the doses distribution in breast cancer mastectomy using SlicerRT and compares it with treatment planning from the hospital. The study used three data patients from MRCCC Siloam Hospitals Jakarta. The simulation results were analyzed based on the International Commission on Radiation Units and Measurements Report’s 83 for target tumor and tolerance limits of healthy tissue according to limitations from various references. Although the target tumor’s homogeneity does not qualify, the healthy tissue around the tumor is still within tolerance. It is not a problem in intensity-modulated radiation therapy if avoidance of healthy tissue is more important than homogeneity. For the comparison result, the percentage acceptance of SlicerRT simulation is quite good, above 90%.
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