Academic literature on the topic 'Normal tissue complication probabil'
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Journal articles on the topic "Normal tissue complication probabil"
Andreassen, C. N. "SP-0555 SNPS FOR PREDICTION OF NORMAL TISSUE COMPLICATION RISK –PROBABLY NOT THE QUICK FIX THAT WE ONCE IMAGINED." Radiotherapy and Oncology 103 (May 2012): S222. http://dx.doi.org/10.1016/s0167-8140(12)70894-0.
Full textGurluler, Ercüment, Nazim Gures, Ilknur Citil, Ozgur Kemik, Ibrahim Berber, Aziz Sumer, and Alihan Gurkan. "Desmoid Tumor in Puerperium Period: A Case Report." Clinical Medicine Insights: Case Reports 7 (January 2014): CCRep.S13593. http://dx.doi.org/10.4137/ccrep.s13593.
Full textLiden, Brock A., and Melitta Simmons. "Histologic Evaluation of a 6-Month GraftJacket Matrix Biopsy Used for Achilles Tendon Augmentation." Journal of the American Podiatric Medical Association 99, no. 2 (March 1, 2009): 104–7. http://dx.doi.org/10.7547/0980104.
Full textCabac, Vasile, Veronica Polovei, and Ala Istratenco. "Empty nose syndrome." Romanian Journal of Rhinology 7, no. 27 (September 27, 2017): 135–41. http://dx.doi.org/10.1515/rjr-2017-0015.
Full textRollin, Jérôme, Claire Pouplard, and Yves Gruel. "Risk factors for heparin-induced thrombocytopenia: Focus on Fcγ receptors." Thrombosis and Haemostasis 116, no. 11 (September 2016): 799–805. http://dx.doi.org/10.1160/th16-02-0109.
Full textGhanaati, Shahram, Adorján Kovács, Mike Barbeck, Jonas Lorenz, Anna Teiler, Nader Sadeghi, Charles James Kirkpatrick, and Robert Sader. "Bilayered, non-cross-linked collagen matrix for regeneration of facial defects after skin cancer removal: a new perspective for biomaterial-based tissue reconstruction." Journal of Cell Communication and Signaling 10, no. 1 (December 9, 2015): 3–15. http://dx.doi.org/10.1007/s12079-015-0313-7.
Full textKukołowicz, Paweł. "Clinical aspects of normal tissue complication probability." Reports of Practical Oncology & Radiotherapy 9, no. 6 (2004): 261–67. http://dx.doi.org/10.1016/s1507-1367(04)71038-x.
Full textXu, Cheng-Jian, Arjen van der Schaaf, Aart A. van't Veld, Johannes A. Langendijk, and Cornelis Schilstra. "Statistical Validation of Normal Tissue Complication Probability Models." International Journal of Radiation Oncology*Biology*Physics 84, no. 1 (September 2012): e123-e129. http://dx.doi.org/10.1016/j.ijrobp.2012.02.022.
Full textLyman, John T. "Normal tissue complication probabilities: Variable dose per fraction." International Journal of Radiation Oncology*Biology*Physics 22, no. 2 (January 1992): 247–50. http://dx.doi.org/10.1016/0360-3016(92)90040-o.
Full textAlexander, M. A. R., W. A. Brooks, and S. W. Blake. "Normal tissue complication probability modelling of tissue fibrosis following breast radiotherapy." Physics in Medicine and Biology 52, no. 7 (March 7, 2007): 1831–43. http://dx.doi.org/10.1088/0031-9155/52/7/005.
Full textDissertations / Theses on the topic "Normal tissue complication probabil"
Troeller, Almut [Verfasser], and Katia [Akademischer Betreuer] Parodi. "Normal tissue complication probability modelling : influence of treatment technique, fractionation, and dose calculation algorithm / Almut Troeller ; Betreuer: Katia Parodi." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1138195510/34.
Full textHornby, Colin, and n/a. "Tumour Control and Normal Tissue Complication Probabilities: Can they be correlated with the measured clinical outcomes of prostate cancer radiotherapy?" RMIT University. Medical Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080702.123739.
Full textGabryś, Hubert [Verfasser], and Markus [Akademischer Betreuer] Alber. "Machine learning using radiomics and dosiomics for normal tissue complication probability modeling of radiation-induced xerostomia / Hubert Gabrys ; Betreuer: Markus Alber." Heidelberg : Universitätsbibliothek Heidelberg, 2020. http://d-nb.info/1203958528/34.
Full textHerwiningsih, Sri. "Dosimetric verification of stereotactic body radiotherapy treatment plans for early stage non-small cell lung cancer using Monte Carlo simulation." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/109755/1/Sri_Herwiningsih_Thesis.pdf.
Full textBenadjaoud, Mohamed Amine. "Modélisation flexible du risque d’événements iatrogènes radio-induits." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA11T017/document.
Full textRadiotherapy plays a major role in the therapeutic arsenal against cancer. Despite significant advances in technology for nearly twenty years, healthy tissues near or away from the target tumor remain inevitably irradiated at very different levels of doses. These doses are at the origin of early side effects (edema, radiation necrosis, dysphagia, cystitis) or late (rectal bleeding, telangiectasia, carcinogenic, cerebrovascular diseases). It is therefore essential to quantify and prevent these side effects to improve the patient quality of life after their cancer treatment.The objective of this thesis was to propose modelling methods able to answer specific questions asked in both aspects, dosimetry and statistics, involved in the modeling risk of developing radiation-induced iatrogenic pathologies.Our purpose was firstly to assess the out-of-field dose component related to head scatter radiation in high-energy photon therapy beams and then derive a multisource model for this dose component. For measured doses under out-of-field conditions, the average local difference between the calculated and measured photon dose is 10%, including doses as low as 0.01% of the maximum dose on the beam axis. We secondly described a novel method to explore radiation dose-volume effects. Functional data analysis is used to investigate the information contained in differential dose-volume histograms. The method is applied to the normal tissue complication probability modeling of rectal bleeding for In the flexible Cox model context, we proposed a new dimension reduction technique based on a functional principal component analysis to estimate a dose-response relationship. A two-stage knots selection scheme was performed: a potential set of knots is chosen based on information from the rotated functional principal components and the final knots selection is then based on statistical model selection. Finally, a multilevel functional principal component analysis was applied to radiobiological data in order to quantify the experimental Variability for replicate measurements of fluorescence signals of telomere length
Cheng, Chia-Hsien. "Probability Model for Biology Integrated Normal Tissue Complication Based on Radiation-Induced Liver Disease." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1001200514234200.
Full textCheng, Chia-Hsien, and 成佳憲. "Probability Model for Biology Integrated Normal Tissue Complication Based on Radiation-Induced Liver Disease." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/06887570882134127601.
Full text國立臺灣大學
電機工程學研究所
93
Radiotherapy has been one of the most important treatment modalities in cancer patients. The scientific method to estimate the risk of radiation-induced organ complication is using the dose-volume data from the computerized treatment planning system to perform calculations with certain thresholds and criteria. The current commonly used dosimetric parameters have the defects of non-volumetric criteria and the lack of volume effect integrated into the radiation-related organ damage. Normal tissue complication probability (NTCP) model has been proposed as a more comprehensive way to calculate the risk of complication by the use of the serial dose-volume data with a few parameters to weigh the risk between low-dose and high-dose damage. In our past patients with radiation-induced liver disease (RILD) after three-dimensional conformal radiotherapy (3DCRT), we found that the NTCP was more useful than the conventionally used parameters. However, the risk of RILD in Taiwan seemed underestimated with the NTCP model parameters developed in the Unites States. This means the tolerance of liver to radiation for patients in Taiwan different from the patients’ tolerance in the western countries, and the indication of generating the unique model parameters based on the biological features of RILD in Taiwanese patients. Our first step was to establish the biology-integrated NTCP in the two different databases, 89 patients with hepatocellular carcinoma (HCC) and 62 patients with gastric carcinoma (GC) undergoing 3DCRT. Hepatitis B viral (HBV) carriers have been the unique feature of Taiwanese patients in their liver tolerance as compared to the western countries. We first used the three-parameter Lyman NTCP model to recalculate the NTCP of RILD in 89 HCC patients by their original dose-volume data retrieved from the conformal design of 3DCRT. Logistic regression was used for significant factors of RILD. Maximal likelihood analysis was conducted to obtain the best estimates of NTCP model parameters based on the true occurrence of RILD in 17 of 89 HCC patients. In multivariate analysis, HBV carrier remained statistically significant as the susceptible factor to RILD. The best estimates of NTCP parameters (n, m, TD50(1)) were 0.35, 0.39, and 49.4 Gy. The parameters specifically estimated from HBV carriers were 0.26, 0.40, and 50.0 Gy, as compared to 0.86, 0.31, and 46.1 Gy for non-carrier patients. The main difference in volume effect parameter (n) between the two subgroups indicated the impact of this biological factor (HBV carrier) on modeling NTCP. The second step was to apply the Lyman NTCP model in 62 GC patients. HBV carrier status was the only independent factor associated with RILD. The parameters (n, m, TD50(1)) specifically estimated from HBV carriers were 0.11, 6.88, and 20.5 Gy, as compared to 1.99, 0.09, and 21.5 Gy for non-carrier patients. The difference in volume effect parameter similarly described the biological integration of HBV carrier into the NTCP model. The third step was to use the four-parameter parallel-architecture NTCP model, specifically designed for the organ with parallel feature like liver, in a combined group of 151 patients with either HCC or GC. HBV carrier was the only independent factor with statistically significant susceptibility to RILD in multivariate test. The NTCP model parameters, mean functional reserve (v50), width of functional reserve distribution ( ), dose at which half of liver subunits are damaged (d1/2), slope parameter for subunit dose response (k), were 0.54, 0.14, 50Gy, 0.13 (whole group); 0.53, 0.07, 50Gy, 4.6 10-7 (HBV carriers); 0.59, 0.12, 25Gy, 59.8 (non-HBV carriers), respectively. The main difference in slope parameter demonstrated the biological influence of HBV carrier on RILD. The threshold effect of fraction of liver damaged (f) became evident after integrating biological factor (HBV carrier) into the modeling process. We concluded the effectiveness of the two NTCP models in RILD, and the unique importance of HBV carrier in estimating the two NTCP model parameters. It is emphasized that physical and mathematical NTCP methods should be cautiously used with appropriate integration of biological factors. The biology integrated NTCP models are extremely important for HBV carrier patients undergoing 3DCRT or the other new technology of radiotherapy to the liver. Such importance of biological factor in radiation-induced liver damage also implies the corresponding biological pathogenesis and warrants the ongoing basic cellular or molecular research on RILD.
Da, Chuang Ho, and 莊和達. "Probability Model for Biology Integrated Normal Tissue Complication Based on Radiation Induced Sensorineural Hearing Loss." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/07681532086873442640.
Full text輔仁大學
應用統計學研究所
96
Sensori-neural hearing loss (SNHL) is a common complication of radiation therapy in the upper head and neck region. To determine the relationship between the radiation dose to the inner ear and long-term hearing loss, in this thesis, we estimated the dose response relationship for SNHL using Lyman model. Patients with newly diagnosed AJCC Stage I–IV Nasopharynx carcinoma treated from 2000–2003 were identified. The records of 348 ears in 174 patients who received a pre-irradiation pure tone audiogram and follow up audiograms 36 months post-irradiation were included in the analysis. All patients were treated with conventional radiotherapy to 70-74.4 Gy and received cis-diamino-dichloro-platinum (CDDP) and 5-fluorouracil (5-FU) chemotherapy. Pre-treatment and post-radiotherapy audiograms at 1 year, 2 years, and 3 years were obtained. The audiograms included assessment of bone conduction thresholds at 0.25, 0.5, 1, 2, 4, and 8 kHz. We fitted the probability of developing late toxicity within 3 years with the radiation induced SNHL by using Lyman NTCP model. A maximum likelihood analysis yielded good estimates for the Lyman NTCP model parameters for the inner ear for the entire patient population. Statistical analysis of the Lyman model was performed. Evaluation of goodness of fit and confidence intervals were conducted. The Lyman model parameters TD50(1) (the dose to the whole organ leading to a complication probability of 50%) was found to be 57, 56, 47Gy at 1st year, 2nd year and 3rd year post-radiotherapy at 8kHz and 65, 62, 50Gy at 4kHz. The volume dependence parameter n and the slope of the dose response relationship m were estimated to be nearly 0.02 and 0.85, respectively. The inner ear is a critical structure in patients with nasopharyngeal carcinoma. The dose to the inner ear should be carefully considered when planning radiation treatment in this region.
Takam, Rungdham. "Evaluation of normal tissue complication probability and risk of second primary cancer in prostate radiotherapy." Thesis, 2010. http://hdl.handle.net/2440/64721.
Full textThesis (Ph.D.) -- University of Adelaide, School of Chemistry and Physics, 2010
Guo, Shih-Sian, and 郭仕賢. "Comparison of dose-response characteristics of five normal tissue complication probability models through outcomes of radiation pneumonitis in breast cancer patients." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/ttda7v.
Full text國立高雄應用科技大學
電子工程系碩士班
103
Purpose : To investigate the relationship between lung dose and radiation pneumonitis in breast cancer patients after radiotherapy. Materials and methods : We built and compared five normal tissue complication probability (NTCP) models through outcomes of radiation pneumonitis in breast cancer patients, and defined the best predictive NTCP model for local population in this study. 87 patients with breast cancer were evaluated and 5 outlier samples were excluded. In total, 82 patient data were used in this study. The patients were treated by intensity-modulated radiotherapy or hybrid intensity-modulated radiotherapy techniques. The patients were evaluated by chest computed tomography (CT) at 3 months after completion of radiation therapy. Density changes on chest CT were evaluated by comparing with the CT image prior to radiation therapy for radiation therapy treatment planning. Clinically complication was defined according to the modified Common Toxicity Criteria of the National Cancer Institute (CTC-NCIC). We used the sample data to build five NTCP models. The five models were LKB (Lyman Kutcher-Burman), Logistic, Schultheiss, Poisson and Kallman-s model, respectively. The five NTCP models were compared by different model performance validation tools. We also built LKB - Veff model based on the LKB model. LKB - Veff model provided the correlation of effective volume and dose at the same complication probability for clinical phycisian. Results : The fitted parameters of five NTCP models were (1) LKB model : TD50 = 21.42 Gy (95% CI, 20.13 - 22.83), m = 0.27 (95% CI, 0.18 - 0.56);(2) Logistic model : TD50 = 21.41 Gy (95% CI, 20.12 - 22.86), γ= 1.48 (95% CI, 0.71 - 2.35);(3) Schultheiss model : TD50 = 21.26 Gy (95% CI, 19.89 - 22.74), k = 5.65 (95% CI, 2.67 - 9.07);(4) Poisson model : TD50 = 21.21 Gy (95% CI, 19.83 - 22.68), γ= 1.46 (95% CI, 0.74 - 2.21) ;(5) Kallman-s model : TD50 = 21.66 Gy (95% CI, 20.25 - 23.15), γ= 1.46 (95% CI, 0.74 - 2.20), s = 1.01. Overall performance Akaike's Information Criterion (AIC) of Kallman-s model was better than the other four models, but other performance validation were equal in five models. Conclusions : Reducing lung radiation dose in breast cancer patients can effectively reduce the probability of radiation pneumonitis. The dose of 50% probability of complications of radiation pneumonitis was 21.66 Gy in Kallman-s model, which was the best model in our study. Reducing the effective volume of irradiated lung could improve the quality of life of breast cancer patients.
Book chapters on the topic "Normal tissue complication probabil"
Troicki, Filip T., Filip T. Troicki, Filip T. Troicki, Carlos A. Perez, Wade L. Thorstad, Brandon J. Fisher, Larry C. Daugherty, et al. "Normal Tissue Complication Probability (NTCP)." In Encyclopedia of Radiation Oncology, 560. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_341.
Full textDeasy, Joseph O., and Issam El Naqa. "Image-Based Modeling of Normal Tissue Complication Probability for Radiation Therapy." In Cancer Treatment and Research, 211–52. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-36744-6_11.
Full textGulliford, Sarah. "Modelling of Normal Tissue Complication Probabilities (NTCP): Review of Application of Machine Learning in Predicting NTCP." In Machine Learning in Radiation Oncology, 277–310. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18305-3_17.
Full textHensley, F. W., G. Becker, R. Lohrum, J. T. Lyman, G. Gademann, D. Fehrentz, W. Schlegel, M. Flentje, and W. J. Lorenz. "Biological Treatment Planning: Calculation of Normal Tissue Complication Probabilities Based on Dose-Volume Analysis of Three-Dimensional Treatment Plans." In Tumor Response Monitoring and Treatment Planning, 441–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-48681-4_73.
Full textAndreassen, Christian Nicolaj. "The Biological Basis for Differences in Normal Tissue Response to Radiation Therapy and Strategies to Establish Predictive Assays for Individual Complication Risk." In Pathobiology of Cancer Regimen-Related Toxicities, 19–33. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5438-0_2.
Full text"Normal Tissue Complication Probability." In Handbook of Disease Burdens and Quality of Life Measures, 4271. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-78665-0_6213.
Full text"Tumor Control and Normal Tissue Complication Probability Models in Radiation Therapy." In Tutorials in Radiotherapy Physics, 235–96. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2016. |: CRC Press, 2016. http://dx.doi.org/10.1201/9781315381961-13.
Full textBalosso, Jacques, Valentin Calugaru, Abdulhamid Chaikh, and Juliette Thariat. "Normal Tissue Complication Probability Reduction in Advanced Head and Neck Cancer Patients Using Proton Therapy." In Advances in Particle Therapy, 145–54. CRC Press, 2018. http://dx.doi.org/10.1201/b22229-11.
Full textEnglert, Joshua A., and Rebecca Marlene Baron. "Sepsis Syndrome." In The Brigham Intensive Review of Internal Medicine, 395–402. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199358274.003.0039.
Full textDutta, Debnarayan, and Yarlagadda Sreenija. "Radiation Induced Liver Toxicity." In Hepatotoxicity [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105410.
Full textConference papers on the topic "Normal tissue complication probabil"
Li Bing Zhou, Zhengdong, Shen Junshu, and Dai Wei. "A simple program to calculate normal tissue complication probability in external beam radiotherapy for nasopharyngeal carcinoma." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5619029.
Full textDinapoli, Nicola, Anna Rita Alitto, Mauro Vallati, Rosa Autorino, Roberto Gatta, Luca Boldrini, Andrea Damiani, Giovanna Mantini, and Vincenzo Valentini. "RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy." In 9th International Conference on Health Informatics. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005693502770281.
Full textFord, I., P. G. Newrick, R. Malik, F. E. Preston, J. D. Ward, and M. Greaves. "HAEMOSTATIC PARAMETERS, ENDONEURIAL OXYGEN TENSION AND SURAL NERVE HISTOLOGY IN DIABETES MELLITUS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643107.
Full textGiannelli, B. F. "MOLECULAR GENETICS OF HAEMOPHILIA." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643981.
Full textReports on the topic "Normal tissue complication probabil"
Zhang, Chunxi, Fangfang Xie, Runchang Li, Ningxin Cui, and Jiayuan Sun. Robotic-assisted bronchoscopy for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0115.
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