Academic literature on the topic 'Dose volume histogram'
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Journal articles on the topic "Dose volume histogram"
Cheng, Chee-Wai, and Indra J. Das. "Treatment plan evaluation using dose–volume histogram (DVH) and spatial dose–volume histogram (zDVH)." International Journal of Radiation Oncology*Biology*Physics 43, no. 5 (March 1999): 1143–50. http://dx.doi.org/10.1016/s0360-3016(98)00492-1.
Full textKooy, Hanne M., Lucien A. Nedzi, Eben Alexander, Jay S. Loeffler, and Robert J. Ledoux. "Dose-volume histogram computations for small intracranial volumes." Medical Physics 20, no. 3 (May 1993): 755–60. http://dx.doi.org/10.1118/1.597029.
Full textMavroidis, Panayiotis, Georgios A. Plataniotis, Magdalena Adamus Górka, and Bengt K. Lind. "Comments on ‘Reconsidering the definition of a dose–volume histogram’—dose–mass histogram (DMH) versus dose–volume histogram (DVH) for predicting radiation-induced pneumonitis." Physics in Medicine and Biology 51, no. 24 (November 23, 2006): L43—L50. http://dx.doi.org/10.1088/0031-9155/51/24/l01.
Full textSkarpman Munter, Johanna, and Jens Sjölund. "Dose-volume histogram prediction using density estimation." Physics in Medicine and Biology 60, no. 17 (August 25, 2015): 6923–36. http://dx.doi.org/10.1088/0031-9155/60/17/6923.
Full textCutanda Henríquez, Francisco, and Silvia Vargas Castrillón. "Confidence intervals in dose volume histogram computation." Medical Physics 37, no. 4 (March 15, 2010): 1545–53. http://dx.doi.org/10.1118/1.3355888.
Full textAnderson, Lowell L. "A “natural” volume-dose histogram for brachytherapy." Medical Physics 13, no. 6 (November 1986): 898–903. http://dx.doi.org/10.1118/1.595815.
Full textMayo, Charles S., Corey Zankowski, Michael Herman, Robert Miller, Kenneth Olivier, Abhilash Vincent, and Jukka Suominen. "A method to vectorize the dose distribution, the dose volume histogram and create a dose vector histogram." Medical Physics 40, no. 1 (December 26, 2012): 011717. http://dx.doi.org/10.1118/1.4769111.
Full textAustin-Seymour, Mary M., George T. Y. Chen, Joseph R. Castro, William M. Saunders, Samuel Pitluck, Kay H. Woodruff, and Mark Kessler. "Dose volume histogram analysis of liver radiation tolerance." International Journal of Radiation Oncology*Biology*Physics 12, no. 1 (January 1986): 31–35. http://dx.doi.org/10.1016/0360-3016(86)90412-8.
Full textNioutsikou, E., S. Webb, N. Panakis, T. Bortfeld, and U. Oelfke. "Reconsidering the definition of a dose--volume histogram." Physics in Medicine and Biology 50, no. 11 (May 18, 2005): L17—L19. http://dx.doi.org/10.1088/0031-9155/50/11/l01.
Full textMavroidis, P., G. Plataniotis, M. Gorka, S. Hyodynmaa, N. Papanikolaou, and B. Lind. "SU-GG-T-429: Dose-Mass-Histogram (DMH) Vs. Dose-Volume Histogram (DVH) in Predicting Lung Complications." Medical Physics 35, no. 6Part16 (June 2008): 2823. http://dx.doi.org/10.1118/1.2962177.
Full textDissertations / Theses on the topic "Dose volume histogram"
SKARPMAN, MUNTER JOHANNA. "Dose-Volume Histogram Prediction using KernelDensity Estimation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155893.
Full textDavenport, David Alan. "Development of a Quality Assurance Procedure for Dose Volume Histogram Analysis." University of Toledo Health Science Campus / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=mco1372672842.
Full textRutkowska, Eva. "Dose-Volume Histogram Analysis of Stereotactic Body Radiation Therapy of Liver Tumours." Thesis, Stockholm University, Medical Radiation Physics (together with KI), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7221.
Full textBackground: Stereotactic body radiation therapy (SBRT) is a relatively new method which has been employed e.g. in the treatment of liver tumours. Little dosimetric data has been published for SBRT in the liver. The aim of this retrospective study was to quantify the dosimetric parameters that influence the toxicity of the healthy liver, and the effect on the tumour, for SBRT to liver tumours in patients treated at Karolinska University Hospital. A comparison was made to relating published studies.
Patients and Methods: The patient group to be studied were treated at Karolinska University Hospital for liver metastases with SBRT between July 1993 and October 2004. There were 64 patients treated with 71 treatment plans for 81 tumours. Differential dose volume histograms were collected for the clinical target volume (CTV), the planning target volume (PTV) and the liver excluding the CTV, from all dose plans. Since different fractionation schedules were used, the doses were normalised using the linear quadratic model, to be comparable. The doses to the uninvolved liver were evaluated with the mean liver dose, the Lyman-Kutcher-Burman (LKB) effective volume normal tissue complication probability (NTCP) model as well as the critical volume NTCP-model. A comparison was made to the studies of Dawson et al (2002) and Schefter et al (2005). The doses to the CTV were evaluated using the equivalent uniform dose tumour control probability (TCP) model, and related to target size and date of treatment.
Results: When the mean doses to the uninvolved liver (the liver volume without tumour tissue) were compared to Dawson and Ten Haken’s results (2005), 20 treatments out of 71 were predicted to give a risk of radiation induced liver disease (RILD) higher than 50%. The effective volume calculations predicted that 18 treatments gave a risk of RILD higher than 50%, when compared to the results of Dawson et al (2002). According to the critical volume model and the parameter values of Schefter et al (2005), our data predict that 10 of the treatments gave a risk of liver function failure, to an unspecified risk level. Treatments of large tumours resulted in higher doses to the liver. The doses to the CTV showed that the maximum prescribed dose decreased with increasing CTV.
Discussion and Conclusions: An evaluation of clinical data is necessary to make a full analysis of the treatments of this study. Such an analysis is planned for the future.
Zhang, Tianfang. "Direct optimization of dose-volume histogram metrics in intensity modulated radiation therapy treatment planning." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231548.
Full textVid optimering av behandlingsplaner i intensitetsmodulerad strålterapi används dosvolym- histogram-funktioner (DVH-funktioner) ofta som målfunktioner för att minimera avståndet till dos-volymkriterier. Varken DVH-funktioner eller dos-volymkriterier är emellertid idealiska för gradientbaserad optimering då de förstnämnda inte är kontinuerligt deriverbara och de sistnämnda är diskontinuerliga funktioner av dos, samtidigt som båda också är ickekonvexa. Speciellt fungerar DVH-funktioner ofta dåligt i bivillkor då de är identiskt noll i tillåtna områden och har försvinnande gradienter på randen till tillåtenhet. I detta arbete presenteras ett generellt matematiskt ramverk som möjliggör direkt optimering på samtliga DVH-baserade mått. Genom att betrakta voxeldoser som stickprovsutfall från en stokastisk hjälpvariabel och använda ickeparametrisk densitetsskattning för att få explicita formler, kan måtten volume-at-dose och dose-at-volume formuleras som oändligt deriverbara funktioner av dos. Detta utökas till DVH-funktioner och så kallade volymbaserade DVH-funktioner, såväl som till mindos- och maxdosfunktioner och medelsvansdos-funktioner. Explicita uttryck för evaluering av funktionsvärden och tillhörande gradienter presenteras. Det föreslagna ramverket har fördelarna av att bero på endast en mjukhetsparameter, av att approximationsfelen till konventionella motsvarigheter är försumbara i praktiska sammanhang, och av en allmän konsistens mellan härledda funktioner. Numeriska tester genomförda i illustrativt syfte visar att slät dose-at-volume fungerar bättre än kvadratiska straff i bivillkor och att släta DVH-funktioner i vissa fall har betydlig fördel över konventionella sådana. Resultaten av detta arbete har med framgång applicerats på lexikografisk optimering inom fluensoptimering.
Eriksson, Ivar. "Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273608.
Full textSkapandet av strålbehandlingsplaner för cancer är en tidskrävande uppgift. Samtidigt kan en onkolog snabbt fatta beslut om en given plan är acceptabel eller ej. Detta innebär att uppgiften att skapa strålplaner är väl lämpad för automatisering. Denna uppsats undersöker en ny metod för att automatiskt generera strålbehandlingsplaner. Planeringssystemet denna metod utvecklats för innehåller funktionalitet för dosrekonstruktion som accepterar sannolikhetsfördelningar för dos–volymhistogram (DVH) och dos som input. Därför kommer detta att vara utdatan för den konstruerade metoden. Metoden är uppbyggd av tre beståndsdelar som är individuellt utbytbara med liten eller ingen påverkan på de övriga delarna. Delarna är: ett sätt att konstruera en vektor av kännetecken av en patients segmentering, en distansoptimering för att skapa en distans i den tidigare konstruerade känneteckensrymden, och slutligen en skattning av sannolikhetsfördelningar med Gaussiska processer tränade på voxelkännetecken. Trots att utvärdering av prestandan i termer av klinisk plankvalitet var bortom räckvidden för detta projekt uppnåddes positiva resultat. De estimerade sannolikhetsfördelningarna uppvisar goda karaktärer för både DVHer och doser. Den löst sammankopplade strukturen av metoden gör det dessutom möjligt att delar av projektet kan användas i framtida arbeten.
Mazeron, Renaud. "Relation dose-volume effets dans les cancers du col utérin traités par curiethérapie adaptative guidée par l'imagerie 3D." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS169/document.
Full textObjectives: To establish dose-volume effects correlations between volumetric dosimetric parameters proposed by the GEC-ESTRO and the probability of occurrence of events such as tumor control or radiation-induced toxicity.Methods: Clinical and dosimetric data of patients treated at Gustave Roussy and in different centers have been reviewed. At first step, dosimetric parameters of image-guided brachytherapy were compared with those of conventional brachytherapy. Secondly, the topography of the most exposed areas of the organs at risk, and the impact of the movements of the bladder, rectum, and sigmoid colon on the assessment of the delivered dose, were studied. Finally, analyzes dose-volume effects were performed.Results: The values of volumetric dosimetric parameters (D2cm3) of the bladder and rectum appeared weakly correlated and significantly higher than the doses evaluated at ICRU points of bladder and rectum , an even in an alternative bladder point. The most exposed areas of the bladder and rectum appeared located above the points of the ICRU. The movements of the organs around the implant during the delivery of the treatment appeared marginal for the bladder and sigmoid, apart from individual variations. However, the mean delivered dose to the rectum was higher than the planned dose. Dose-volume effects correlations showed significant correlations between D0.1cm3 and D2cm3 and the probability of occurrence of urinary or rectal late morbidity. Similarly, significant correlations have been established between the D90 of the high risk, intermediate risk-CTV and the probability of achieving local control. Various tumor characteristics (width, HR-CTV volume, FIGO stage) impact these relationships, as well as the treatment time.Conclusion: Dose-volume effects correlations have been established between modern dosimetric parameters and the probability of achieving local control or cause late morbidity. Regarding tumor control, prescription aims must be customized according to oncologic criteria. For organs at risk, new dose constraints based on 3D brachytherapy experience can be established but should be refined in future studies based on cofactors such as comorbidities. The points retain an interest in clinical research for the study of bladder or vaginal morbidity
Inokuchi, Haruo. "Clinical effect of multileaf collimator width on the incidence of late rectal bleeding after high-dose intensity-modulated radiotherapy for localized prostate carcinoma." Kyoto University, 2016. http://hdl.handle.net/2433/215942.
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 textAryal, Prakash. "REEVALUATION OF THE AAPM TG-43 BRACHYTHERAPY DOSIMETRY PARAMETERS FOR AN 125I SEED, AND THE INFLUENCE OF EYE PLAQUE DESIGN ON DOSE DISTRIBUTIONS AND DOSE-VOLUME HISTOGRAMS." UKnowledge, 2014. http://uknowledge.uky.edu/physastron_etds/14.
Full textHuang, Tsung-Chieh, and 黃琮傑. "N-isopropylacrylamide Gel Dosimeters for Dose Verification of IMRT Treatment using 3D Gamma evaluation and Dose-volume Histogram." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/87994149062416856080.
Full text中臺科技大學
醫學影像暨放射科學系暨研究所
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Polymer gel dosimeters can record integrated absorbed dose in 3D. In addition, polymer gel dosimeters can exhibit 3D dose distribution of patients. In this study, N-isopropylacrylamide (NIPAM) gel dosimetry with magnetic resonance imaging (MRI) was employed to measure 3D dose distributions in clinical radiation treatment of eye tumor patients. This study comprised the following two stages. Stage one: NIPAM gels results were compared with measurement results obtained using EBT3 dosimetry films. Both dosimeters were evaluated using an isodose curve and 2D gamma evaluation with the criteria of 3% dose and 3 mm DTA. The results obtained using the NIPAM gel dosimeter and films were highly consistent for the ≥70% dose region. However, the film measurements and treatment planning system-calculated distribution were different at the low-dose region (<70%). The gamma passing rate of the NIPAM gel was 96.969%, which was higher than that of the film (57.599%). Stage two: NIPAM gel dosimetry was investigated using dose–volume histograms (DVHs) and 3D gamma evaluation. The long-term stability of irradiated NIPAM gel dosimeter was also investigated. Results show that the gamma values exceeded 98% 12 h post-irradiation and the DVHs were consistent for the ≥30% dose region, which became evident through the NIPAM gel method. Gamma passing rates and DVH had no considerable changes two months post-irradiation, which indicated the high stability of NIPAM gels. NIPAM gel dosimetry with MRI successfully estimated the 3D dose distribution during clinical radiation treatment. Therefore, NIPAM gel can serve as a 3D tool for verification of dose distribution during clinical radiation treatment.
Book chapters on the topic "Dose volume histogram"
Speer, Tod W., Christin A. Knowlton, Michelle Kolton Mackay, Charlie Ma, Lu Wang, Larry C. Daugherty, Brandon J. Fisher, et al. "Dose Volume Histogram (DVH)." In Encyclopedia of Radiation Oncology, 166. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_659.
Full textNichol, A. M., B. G. Clark, and R. Ma. "A Method for Validating Stereotactic Radiosurgery Dose-Volume Histogram Calculations." In Radiosurgery, 239–44. Basel: KARGER, 2002. http://dx.doi.org/10.1159/000062354.
Full textSemnicka, J., J. Novotny, Jr., V. Spevacek, J. Garcic, M. Steiner, and L. Judas. "Three-Dimensional Gel Dosimetry for Dose Volume Histogram Verification in Stereotactic Radiosurgery." In Radiosurgery, 44–55. Basel: KARGER, 2010. http://dx.doi.org/10.1159/000288717.
Full textKokubo, M., Y. Nishimura, Y. Nagata, T. Mizowaki, M. Yamamoto, S. Kanamori, Y. Katakura, M. Hiraoka, and M. Abe. "Dose-Volume Histogram Analysis of External-Beam Irradiation Combined with IORT for Unresectable Pancreatic Cancer." In Frontiers of Radiation Therapy and Oncology, 177–80. Basel: KARGER, 1997. http://dx.doi.org/10.1159/000061171.
Full textMoiseenko, Vitali, Jake Van Dyk, Jerry Battista, and Elizabeth Travis. "Limitations in using dose-volume histograms for radiotherapy dose optimization." In The Use of Computers in Radiation Therapy, 239–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_90.
Full textZhang, G. G., V. Feygelman, C. Stevens, W. Li, and T. Dilling. "Motion-Weighted Dose-Volume Histograms – A Novel Approach to 4D Treatment Planning." In IFMBE Proceedings, 904–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03474-9_254.
Full textGeinitz, H., F. B. Zimmermann, P. Stoll, L. Narkwong, P. Kneschaurek, R. Busch, A. Kuzmany, and M. Molls. "Value of Dose-Volume Histograms in Estimating Rectal Bleeding after Conformal Radiotherapy for Prostate Cancer." In Three-Dimensional Radiation Treatment, 177–85. Basel: KARGER, 2000. http://dx.doi.org/10.1159/000061266.
Full textMock, U., K. Dieckmann, U. Wolff, and R. P�tter. "Comparison of Coplanar and Non-Coplanar Irradiation Techniques for Malignant Glioma: An Analysis of Dose-Volume Histograms." In Controversies in Neuro-Oncology, 202–13. Basel: KARGER, 1999. http://dx.doi.org/10.1159/000061236.
Full textLuciano Bertollo, Rusciolelli, Carneiro Joel Camilo de Souza, Júnior José Ivo Ribeiro, and Roberto Consuelo Domenici. "COMPORTAMENTO DE VARIÁVEIS CRÍTICAS NA ETAPA DE RESFRIAMENTO DE UMA LINHA DE PROCESSAMENTO DE ABATE DE FRANGOS." In Inovação, Gestão e Sustentabilidade na Agroindústria – Volume 02, 32–46. Instituto Internacional Despertando Vocações, 2021. http://dx.doi.org/10.31692/978-65-88970-18-8.32-46.
Full textConference papers on the topic "Dose volume histogram"
Sunderland, Kyle, Csaba Pinter, Andras Lasso, and Gabor Fichtinger. "Effects of voxelization on dose volume histogram accuracy." In SPIE Medical Imaging, edited by Robert J. Webster and Ziv R. Yaniv. SPIE, 2016. http://dx.doi.org/10.1117/12.2216310.
Full textDemianovich, Alena, Dmitriy Sanin, Natalia Borysheva, Valeriya Martynova, Sergey Ivanov, and Andrey Kaprin. "RADIATION-INDUCED SKIN PIGMENTATION AFTER ACCELERATED PARTIAL BREAST IRRADIATION: DOSE-VOLUME HISTOGRAM ANALYSIS." In RAP Conference. Sievert Association, 2020. http://dx.doi.org/10.37392/rapproc.2019.38.
Full textKamath, Sunil, Rajkumar Venkatramani, Kenneth Wong, Arthur Olch, Fariba Goodarzian, David Freyer, Leo Mascarenhas, and Thomas G. Keens. "Pulmonary Function Abnormalities In Children Treated With Partial Lung Irradiation And Their Correlation With Dose Volume Histogram." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a6141.
Full textBisht, Jyoti, Ravi Kant, Meenu Gupta, Vipul Nautiyal, Saurabh Bansal, Sunil Saini, and Mushtaq Ahmad. "Dosimetric evaluation of sigmoidal and bowel doses in the treatment of carcinoma of cervix using CT based volumetric imaging technique." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685397.
Full textSunderland, Kyle, Csaba Pinter, Andras Lasso, and Gabor Fichtinger. "Fractional labelmaps for computing accurate dose volume histograms." In SPIE Medical Imaging, edited by Robert J. Webster and Baowei Fei. SPIE, 2017. http://dx.doi.org/10.1117/12.2254978.
Full textKovalskaya, Е., M. Piatkevich, and E. Titovich. "QUANTITATIVE ANALYSIS OF DOSE-VOLUME HISTOGRAMS’ PARAMETERS OF THE PROSTATE CANCER RADIATION THERAPY." In SAKHAROV READINGS 2020: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. Minsk, ICC of Minfin, 2020. http://dx.doi.org/10.46646/sakh-2020-2-76-80.
Full textRöschlein, M., TI Götz, C. Schmidkonz, M. Beck, T. Kuwert, and P. Ritt. "Effect of Reconstruction Settings on PET-Derived Dose-Volume-Histograms after SIRT of the Liver." In NuklearMedizin 2020. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1708276.
Full textDiniz, João O. B., Jonnison L. Ferreira, Giovanni L. F. da Silva, Darlan B. P. Quintanilha, Aristófanes C. Silva, and Anselmo Paiva. "Segmentação de coração em tomografias computadorizadas utilizando atlas probabilístico e redes neurais convolucionais." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcas.2021.16055.
Full textFerreira, P., R. Parafita, A. Canudo, C. Oliveira, L. Rosa, P. L. Correia, P. S. Girao, and D. C. Costa. "Gamma-index and dose-volume histograms (based on voxel dosimetry) to evaluate the predictive power of 99mTc-MAA SPECT maps in comparison with post-radioembolization 90Y PET maps." In 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG). IEEE, 2017. http://dx.doi.org/10.1109/enbeng.2017.7889428.
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