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Radiation Oncologists

Radiation Oncologists are medical professionals who specialize in the use of ionizing radiation to treat cancer and other diseases.
They work closely with patients to develop personalized treatment plans, optimizing the delivery of radiation to target tumors while minimizing exposure to healthy tissues.
Radiation Oncologists utilize advanced technologies like linear accelerators, brachytherapy, and proton therapy to provide effective and precise treatment.
They collaborate with a multidisiplinary team of healthcare providers, including medical physicists, dosimetrists, and nurses, to ensure the safest and most effective care for their patients.
Radiation Oncologists play a critical role in the fight against cancer, utilizing their expertise to improve patient outcomes and quality of life.

Most cited protocols related to «Radiation Oncologists»

We performed a review of 99 patients treated for tumors located in different regions (locations) of the body. All the plans were created according to the clinical protocol followed in the department without any deviation. A CT (Computed Tomography) scan based radiographic volume data set was used for the definition of target volumes, organs at risk, and other structures of interest. The target volumes like Gross Tumor Volume (GTV), Clinical Target Volume (CTV) and PTV were defined as per their definitions in International Commission on Radiation Units and Measurements (ICRU) Report 50.[10 ]
The treating radiation oncologist determined the target volumes and the treatment dose. In most cases, the planning was done with the following aims: minimum dose greater than or equal to 95% and the maximum dose less than or equal to 107% of the prescribed dose. The normalization of each plan followed the recommendation of ICRU report 50. The ICRU point was used for normalization and was set at 100%. This point dose was also the prescribed dose, resulting in a dose variation across the target from 95% to 107% of the prescription dose in most cases. The target volume selected for calculating the HI was PTV. In cases, where two or more target volumes were present, the primary/larger target volume was selected for analysis. The leaf edge to PTV distance (target margin) was kept 7 mm in all cases. The DVH of each plan was generated and it was evaluated by radiation oncologist along with medical physicist until an acceptable plan was obtained.
The HI was calculated using the five different formulae given below.
Formula A : D5/D95; where D5 = minimum dose in 5% of the target volume and D95 = minimum dose in 95% of the target volume. The ideal value is 1 and it increases as the plan become less homogeneous.[11 (link)]
Formula B: Dmax/Dmin; where Dmax and Dmin represent the maximum and minimum point dose in the target volume, respectively. This formula has not been used in literature but it represents the classical definition of HI i.e., the ratio of maximum and minimum dose. This formula was used to represent the philosophy behind the definition of HI. It may not be technically correct to use this formula in practice as the doses may be very high or very low, if only point doses are considered. The ideal value is 1 and it increases as the plan becomes less homogeneous.
Formula C: D1–D98/Dp × 100; where D1 and D98 are the minimum dose in 1% and 98% of the target volume and Dp is the prescribed dose. This is the formula used for calculating HI in our department which is a slight modification of the formula (D1 instead of D2 making it more sensitive) described by Wu, et al.[4 (link)] The ideal value is Zero and increase as homogeneity decreases.
Formula D: D5–D95/Dp×100; where D5 and D95 are the minimum dose in 5% and 95% of the target volume and Dp is the prescribed dose. The ideal value is zero when D5 and D95 are equal. This formula is also a modification of formula by Wu et al., where D2 and D98 has been replaced by D5 and D95.[4 (link)]
Formula E: Dmax/Dp; where Dmax is the maximum point dose and Dp is the prescribed dose to the target volume i.e., the prescription isodose line chosen to cover the margin of the tumor.[8 (link)12 (link)] This was first described by RTOG and the ideal value is 1.
The patients were then divided into five groups, based on the prescribed dose for treatment, volume of target and the location of the target. This resulted in 15 different groups. The mean HI was calculated for each group using all the formulae. The data was then analyzed to find out the relationship between HI and various parameters like prescribed dose, target volume and location of the target (CTV or PTV).
The data was compiled using microsoft excel software and mean and median values of HI were calculated using statistical methods. Pearsons Chi-square test (SPSS Vs 16.02) was used to test the association between the mean value of HI calculated by a particular formula and the prescribed dose, volume of target and the location of target in the body. The same test was performed separately for each group using one formula at a time.
Publication 2012
Clinical Protocols Human Body Neoplasms Patients Plant Leaves Radiation Oncologists Radionuclide Imaging Radiotherapy X-Ray Computed Tomography X-Rays, Diagnostic

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Publication 2008
ARID1A protein, human Drainage Hormones Lymph Node Dissection Lymphography Nodes, Lymph Pelvis Physicians Population at Risk Prostate Radiation Oncologists Radiotherapy Sentinel Lymph Node Therapeutics X-Ray Computed Tomography

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Publication 2010
Blood Vessel Cardiologists Coronary Vessels Gold Heart Heart Valves Radiation Oncologists Radiologist Respiratory Rate Systems, Heart Conduction
Starting from the original FDG-PET/CT imaging data and associated radiotherapy contours in DICOM format, the complete set of data was read and transferred into MATLAB (MathWorks, Natick, MA) format using in-house routines. PET images were converted to standard uptake value (SUV) maps and CT images were kept in raw Hounsfield Unit (HU) format. In this work, we then extracted a total of 1615 radiomic features for both the PET and CT images from the tumour region defined by the “GTVprimary + GTVlymph nodes” contours as delineated by the radiation oncologists of each institution. These features can be divided into three different groups: I) 10 first-order statistics features (intensity); II) 5 morphological features (shape); and III) 40 texture features each computed using 40 different combinations of extraction parameters.
Intensity features are computed from histograms (nbins = 100) of the intensity distribution of the ROI. The features extracted in this work were the variance, the skewness, the kurtosis, SUVmax, SUVpeak, SUVmean, the area under the curve of the cumulative SUV-volume histogram47 (link), the total lesion glycolysis, the percentage of inactive volume and the generalized effective total uptake48 (link). Shape features describe geometrical aspects of the ROI. The features extracted in this work were the volume, the size (maximum tumour diameter), the solidity, the eccentricity and the compactness.
Texture features measure intratumoural heterogeneity by quantitatively describing the spatial distributions of the different intensities within the ROI. In this work, 9 features from the Gray-Level Co-occurrence Matrix (GLCM)49 (link), 13 features from the Gray-Level Run-Length Matrix (GLRLM)50 (link)–52 (link), 13 features from the Gray-Level Size Zone Matrix (GLSZM)50 (link)–53 and 5 features from the Neighbourhood Gray-Tone Difference Matrix (NGTDM)54 (link) were computed. All texture matrices were constructed using 3D analysis/26-voxel connectivity of the tumour region resampled to a defined isotropic voxel size. For each of the four texture types, only one matrix was computed per scan by simultaneously taking into account the neighbouring properties of voxels in the 13 directions of 3D space. However, the 6 voxels at a distance of 1 voxel, the 12 voxels at a distance of 2 voxels, and the 8 voxels at a distance of 3 voxels around center voxels were treated differently in the calculation of the matrices to take into account discretization length differences.
All 40 texture features from the ROI of both PET and CT volumes were extracted using all possible combinations (40) of the following parameters:

Isotropic voxel size (5): Voxel sizes of 1 mm, 2 mm, 3 mm, 4 mm and 5 mm.

Quantization algorithm (2): Equal-probability (equalization of intensity histogram) and Uniform (uniform division of intensity range) quantization algorithms with fixed numbers of gray levels.

Number of gray levels (4): Fixed numbers of gray levels of 8, 16, 32 and 64 in the quantized ROI.

Detailed description with supplementary references and methodology used to extract all radiomic features is further provided in Supplementary Methods section 2.5.
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Publication 2017
Genetic Heterogeneity Glycolysis Microtubule-Associated Proteins Neoplasms Positron-Emission Tomography Radiation Oncologists Radionuclide Imaging Radiotherapy

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Publication 2011
Neoplasms Neoplasms by Site Positron-Emission Tomography Radiation Oncologists Radiologist X-Rays, Diagnostic

Most recents protocols related to «Radiation Oncologists»

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Publication 2023
Infantile Neuroaxonal Dystrophy Radiation Oncologists Radiotherapy Radiotherapy, Intensity-Modulated Urinary Bladder X-Ray Computed Tomography

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Publication 2023
Acclimatization Brain Electrons Infantile Neuroaxonal Dystrophy Patients Physicians Radiation Oncologists Radiotherapy Tissues

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Publication 2023
Magnetic Fields Muscle Rigidity Radiation Oncologists
Treatment in experimental arm is based on molecular classification. Participants with POLEmut subtype, accounting for approximately 10% of all EEC and having quite a good prognosis [1 (link)], will be observed. An estimated 70% of patients with the MMRd or NSMP subtype will receive VBT (either 3 fractions of 7 Gy to 5 mm depth or 5 fractions of 6 Gy to the surface). Approximately 20% will have a p53abn profile and receive combined chemotherapy and radiotherapy (CTRT), with 4 adjuvant cycles of carboplatin and paclitaxel, followed by external beam pelvic radiotherapy (EBRT, 45–50 Gy) (Fig. 1).
The preferred treatment for the standard arm is recommended in accordance with the NCCN guidelines version 1 (2022) according to the clinicopathological risk factors [4 ]. Patients with IR (stage IA grade 3 or stage IB grade 1–2) will receive adjuvant VBT (3 fractions of 7 Gy or 5 fractions of 6 Gy). Patients with HIR (stage IB grade 3 or stage II) will receive adjuvant EBRT and/or VBT. The suggested dose for EBRT is 45-50 Gy in daily fractions of 1.8 Gy over 25–28 fractions, 5 times a week. The total dose for EBRT and VBT is 65 Gy.
Patients will be clinically evaluated during alternating follow-up visits with their gynecologist and radiation oncologist every 3 months for the first year, every 6 months for the next two years, and each year for the 4th and 5th years. Pelvic examination and serum CA125 test will be done at each visit. CT scan of abdomen, pelvis and chest will be done every six months. A comprehensive assessment will be performed when recurrence or metastasis is suspected, and treatment with curative intention will be initiated when necessary.
Publication 2023
Abdomen Antineoplastic Combined Chemotherapy Protocols CA-125 Antigen Carboplatin Chest Gynecologist Neoplasm Metastasis Paclitaxel Patients Pelvic Examination Pelvis Pharmaceutical Adjuvants Prognosis Radiation Oncologists Radiotherapy Recurrence Serum Therapies, Investigational X-Ray Computed Tomography
We retrospectively reviewed patients with biopsy-proven LACC treated from 2005 to 2020 [19 (link)]. This retrospective study was approved by the local ethics committee (UZ Gent 2019/1089). Informed consent was obtained from all individual participants included in the study. The findings have been reported according to the STROBE guidelines.
Clinical staging (FIGO, both 2009 and 2018) at diagnosis was obtained by pelvic examination by an experienced gynecologic oncologist and a radiation oncologist. In addition, all patients were staged by total-body 18FDG PET-CT and pelvic magnetic resonance imaging (MRI) and staged by TNM 8 [20 ]. Patients were considered node positive when nodes were 18FDG-positive or had a minimal diameter of 1 cm (oval lymph nodes) or 8 mm (round lymph nodes) when 18FDG-negative.
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Publication 2023
Biopsy Diagnosis F18, Fluorodeoxyglucose Human Body Nodes, Lymph Oncologists Patients Pelvic Examination Pelvis Radiation Oncologists Regional Ethics Committees Scan, CT PET

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More about "Radiation Oncologists"

Radiation Oncologists, also known as Radiation Therapists or Radiation Oncology Specialists, are highly skilled medical professionals who specialize in the use of ionizing radiation to treat cancer and other diseases.
These experts work closely with patients to develop personalized treatment plans, optimizing the delivery of radiation to target tumors while minimizing exposure to healthy tissues.
Radiation Oncologists utilize advanced technologies like linear accelerators (e.g., Clinac iX), brachytherapy, and proton therapy (e.g., SOMATOM Definition AS, Brilliance CT Big Bore) to provide effective and precise treatment.
They collaborate with a multidisciplinary team of healthcare providers, including medical physicists, dosimetrists, and nurses, to ensure the safest and most effective care for their patients.
Radiation Oncologists play a critical role in the fight against cancer, utilizing their expertise to improve patient outcomes and quality of life.
They often use specialized software like Eclipse treatment planning system, Pinnacle3, and MIM Maestro to plan and deliver radiotherapy treatments.
With their deep understanding of radiation physics and biology, Radiation Oncologists can optimize their research using AI-driven platforms like PubCompare.ai to identify the best protocols and products for their needs.
These professionals are essential in the field of oncology, providing innovative and personalized care to patients battling cancer and other diseases.