Academic literature on the topic 'Dose volume histogram'

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Journal articles on the topic "Dose volume histogram"

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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.

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Kooy, 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.

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Mavroidis, 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.

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Skarpman 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.

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Cutanda 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.

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Anderson, 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.

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Mayo, 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.

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Austin-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.

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Nioutsikou, 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.

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Mavroidis, 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.

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Dissertations / Theses on the topic "Dose volume histogram"

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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.

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Dose plans developed for stereotactic radiosurgery are assessed by studying so called Dose-Volume Histograms. Since it is hard to compare an individual dose plan with doseplans created for other patients, much experience and knowledge is lost. This thesis therefore investigates a machine learning approach to predicting such Dose-Volume Histograms for a new patient, by learning from previous dose plans.The training set is chosen based on similarity in terms of tumour size. The signed distances between voxels in the considered volume and the tumour boundary decide the probability of receiving a certain dose in the volume. By using a method based on Kernel Density Estimation, the intrinsic probabilistic properties of a Dose-Volume Histogramare exploited.Dose-Volume Histograms for the brainstem of 22 Acoustic Schwannoma patients, treated with the Gamma Knife,have been predicted, solely based on each patient’s individual anatomical disposition. The method has proved higher prediction accuracy than a “quick-and-dirty” approach implemented for comparison. Analysis of the bias and variance of the method also indicate that it captures the main underlying factors behind individual variations. However,the degree of variability in dose planning results for the Gamma Knife has turned out to be very limited. Therefore, the usefulness of a data driven dose planning tool for the Gamma Knife has to be further investigated.
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Davenport, 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.

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Rutkowska, 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.

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Background: 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.

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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.

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In optimization of intensity-modulated radiation therapy treatment plans, dose-volumehistogram (DVH) functions are often used as objective functions to minimize the violationof dose-volume criteria. Neither DVH functions nor dose-volume criteria, however,are ideal for gradient-based optimization as the former are not continuously differentiableand the latter are discontinuous functions of dose, apart from both beingnonconvex. In particular, DVH functions often work poorly when used in constraintsdue to their being identically zero when feasible and having vanishing gradients on theboundary of feasibility.In this work, we present a general mathematical framework allowing for direct optimizationon all DVH-based metrics. By regarding voxel doses as sample realizations ofan auxiliary random variable and using kernel density estimation to obtain explicit formulas,one arrives at formulations of volume-at-dose and dose-at-volume which are infinitelydifferentiable functions of dose. This is extended to DVH functions and so calledvolume-based DVH functions, as well as to min/max-dose functions and mean-tail-dosefunctions. Explicit expressions for evaluation of function values and corresponding gradientsare presented. The proposed framework has the advantages of depending on onlyone smoothness parameter, of approximation errors to conventional counterparts beingnegligible for practical purposes, and of a general consistency between derived functions.Numerical tests, which were performed for illustrative purposes, show that smoothdose-at-volume works better than quadratic penalties when used in constraints and thatsmooth DVH functions in certain cases have significant advantage over conventionalsuch. The results of this work have been successfully applied to lexicographic optimizationin a fluence map optimization setting.
Vid 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.
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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.

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Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. This thesis investigates a novel way of automatic treatment planning. The treatment planning system this pipeline is constructed for provides dose mimicking functionality with probability density functions of dose–volume histograms (DVHs) and spatial dose as inputs. Therefore this will be the output of the pipeline. The input is historically treated patient scans, segmentations and spatial doses. The approach involves three modules which are individually replaceable with little to no impact on the remaining two modules. The modules are: an autoencoder as a feature extractor to concretise important features of a patient segmentation, a distance optimisation step to learn a distance in the previously constructed feature space and, finally, a probabilistic spatial dose estimation module using sparse pseudo-input Gaussian processes trained on voxel features. Although performance evaluation in terms of clinical plan quality was beyond the scope of this thesis, numerical results show that the proposed pipeline is successful in capturing salient features of patient geometry as well as predicting reasonable probability distributions for DVH and spatial dose. Its loosely connected nature also gives hope that some parts of the pipeline can be utilised in future work.
Skapandet 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.
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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.

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Objectifs : Etablir des corrélations dose-volume effet entre les paramètres dosimétriques proposés par le GEC-ESTRO et la probabilité de survenue d’événements tels que le contrôle tumoral ou une toxicité radio-induite.Matériel et méthodes : Les données cliniques et dosimétriques de cohortes de patientes traitées à Gustave Roussy et dans différents centres ont été confrontées. Dans un premier temps les paramètres dosimétriques de la curiethérapie 3D ont été comparés à ceux de la curiethérapie classique. Dans un second temps, la topographie des zones les plus exposées des organes à risque, ainsi que l’impact des mouvements de la vessie, du rectum, et du colon sigmoïde sur l’évaluation de la dose délivrée, ont été étudiés. Enfin, des analyses dose-volume effets ont été réalisées.Résultats : Les valeurs des paramètres dosimétriques volumétriques (D2cm3) de la vessie et du rectum se sont révélées faiblement corrélées et significativement supérieures aux doses évaluées aux points de l’ICRU ou à un point vésical alternatif. Les zones les plus exposées de la vessie et du rectum sont apparues situées au-dessus des points de l’ICRU. Les mouvements des organes autour de l’implant pendant la délivrance du traitement sont apparus marginaux pour la vessie et sigmoïde, en dehors de variations individuelles. En revanche, la dose délivrée au rectum étaient en moyenne plus élevée que le dose planifiée. Les analyses dose-volume effets ont montré des corrélations significatives entre D0.1cm3 et D2cm3 et la probabilité de survenue d’une morbidité tardive urinaire ou rectale. De la même manière, des corrélations significatives ont été établies entre la D90 des CTV à haut risque et à risque intermédiaire et la probabilité d’obtention du contrôle local. Divers caractéristiques tumorales (largeur au diagnostic, volume du CTV-HR, stade FIGO), impactent ces relations, de même que l’étalement total du traitement.Conclusion : Des corrélations dose-volume effets ont été établies entre les paramètres dosimétriques modernes et la probabilité d’obtenir le contrôle local ou d’entraîner une morbidité tardive. En ce qui concerne le contrôle tumoral, les objectifs de prescription doivent être personnalisés en fonction de critères carcinologiques. Pour les organes à risque, de contraintes de dose basées sur l’expérience de la curiethérapie 3D peuvent être établies, mais doivent être affinées dans de futures études en fonction de cofacteurs tels que les comorbidités. Les points gardent un intérêt en recherche clinique, pour l’étude de la morbidité vésicale ou vaginale.Ce travail a l'objet de 6 publications dans des revues internationales à comité de lecture. La septième est présentée sous forme de manuscrit
Objectives: 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
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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.

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Hornby, 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.

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The chief aim in developing radiation treatment plans is to maximise tumour cell kill while minimising the killing of normal cells. The acceptance by a radiation oncologist of a radiation therapy treatment plan devised by the radiation therapist, at present is largely based on the oncologists' previous clinical experience with reference to established patterns of treatment and their clinical interpretation of the dose volume histogram. Some versions of radiotherapy planning computer software now incorporate a function that permits biologically based predictions about the probability of tumour control (TCP) and/or normal tissue complications (NTCP). The biological models used for these probabilities are founded upon statistical and mathematical principles as well as radiobiology concepts. TCP and NTCP potentially offer the capability of being able to better optimise treatments for an individual patient's tumour and normal anatomy. There have been few attempts in the past to correlate NTCPs to actual treatment complications, and the reported complications have generally not shown any significant correlation. Thus determining whether either or both NTCPs and TCPs could be correlated with the observed clinical outcomes of prostate radiotherapy is the central topic of this thesis. In this research, TCPs and NTCPs were prospectively calculated for prostate cancer patients receiving radiation therapy, and subsequently assessed against the clinical results of the delivered treatments. This research was conducted using two different types of NTCP models, which were correlated against observed treatment-induced complications in the rectum and bladder. The two NTCP models were also compared to determine their relative efficacy in predicting the recorded toxicities. As part of this research the refinement of some of the published bladder parameters required for NTCP calculations was undertaken to provide a better fit between predicted and observed complication rates for the bladder wall which was used in this research. TCPs were also calculated for each patient using the best available estimate of the radiosensitivity of the prostate gland from recent research. The TCP/NTCP data was analysed to determine if any correlations existed between the calculated probabilities and the observed clinical data. The results of the analyses showed that a correlation between the NTCP and a limited number of toxicities did occur. Additionally the NTCP predictions were compared to existing parameters and methods for radiotherapy plan evaluation - most notably DVHs. It is shown that NTCPs can provide superior discriminatory power when utilised for prospective plan evaluation. While the TCP could not be correlated with clinical outcomes due to insufficient follow-up data, it is shown that there was a correlation between the TCP and the treatment technique used.
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Aryal, 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.

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The TG-43 dosimetry parameters of the AdvantageTM 125I model IAI-125A brachytherapy seed were studied. An investigation using modern MCNP radiation transport code with updated cross-section libraries was performed. Twelve different simulation conditions were studied for a single seed by varying the coating thickness, mass density, photon energy spectrum and cross-section library. The dose rate was found to be 6.3% lower at 1 cm in comparison to published results. New TG-43 dosimetry parameters are proposed. The dose distribution for a brachytherapy eye plaque, model EP917, was investigated, including the effects of collimation from high-Z slots. Dose distributions for 26 slot designs were determined using Monte Carlo methods and compared between the published literature, a clinical treatment planning system, and physical measurements. The dosimetric effect of the composition and mass density of the gold backing was shown to be less than 3%. Slot depth, width, and length changed the central axis (CAX) dose distributions by < 1% per 0.1 mm in design variation. Seed shifts in the slot towards the eye and shifts of the 125I-laden silver rod within the seed had the greatest impact on the CAX dose distribution, changing it by 14%, 9%, 4.3%, and 2.7% at 1, 2, 5, and 10 mm, respectively, from the inner scleral surface. The measured, full plaque slot geometry delivered 2.4% ± 1.1% higher dose along the plaque’s CAX than the geometry provided by the manufacturer and 2.2%±2.3% higher than Plaque SimulatorTM (PS) treatment planning software (version 5.7.6). The D10 for the simulated tumor, inner sclera, and outer sclera for the measured slot plaque to manufacturer provided slot design was 9%, 10%, and 19% higher, respectively. In comparison to the measured plaque design, a theoretical plaque having narrow and deep slots delivered 30%, 37%, and 62% lower D10 doses to the tumor, inner sclera, and outer sclera, respectively. CAX doses at –1, 0, 1, and 2 mm were also lower by a factor of 2.6, 1.72, 1.50, and 1.39, respectively. The study identified substantial sensitivity of the EP917 plaque dose distributions to slot design.
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Huang, 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.

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碩士
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.
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Book chapters on the topic "Dose volume histogram"

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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.

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Nichol, 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.

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Semnicka, 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.

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Kokubo, 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.

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Moiseenko, 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.

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Zhang, 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.

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Geinitz, 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.

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Mock, 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.

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Luciano 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.

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No processamento industrial de abate dos frangos, o teor de absorção de água das carcaças de frango durante o resfriamento no chiller representa um dos requisitos que define o padrão de qualidade do frango resfriado ou congelado. Neste contexto, o objetivo deste trabalho foi verificar a influência de variáveis críticas do processo sobre o teor de absorção de água por meio do monitoramento em tempo real. Os dados coletados foram analisados empregando procedimentos de estatística descritiva, testes inferenciais (teste t de Student e qui-quadrado), histograma, regressão linear múltipla e análise dos coeficientes de correlação. De acordo com os resultados obtidos, identificou-se que o teor de absorção de água das carcaças apresentou elevada variabilidade (coeficiente de variação de 35%, média de 5% e desvio-padrão maior que 1%), sendo que 10% das carcaças apresentaram valores superiores ao limite de especificação de 8%, determinado pela legislação brasileira. Além disso, verificou-se ausência de correlação satisfatória entre as variáveis críticas e a variável-resposta, indicando que não foi possível estabelecer as causas da elevada variabilidade do teor de absorção de água nas carcaças de frango. Concluiu-se que a etapa de resfriamento do processo industrial de abate dos frantos estava operando de forma instável e não padronizada. Além disso, foi de 10% o número de carcaças de frangos com teor de absorção de água acima de 8% e, portanto, que não atendem ao padrão de qualidade estabelecido pela legislação. Para promover a redução da variabilidade e, consequentemente, a melhoria do processo, recomendam-se o ajuste operacional e a padronização do processo.
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Conference papers on the topic "Dose volume histogram"

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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.

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Demianovich, 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.

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Kamath, 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.

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Bisht, 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.

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Purpose: Radiation therapy is the main stray for the treatment of the cervical cancer. Normal organs such as bladder, rectum, sigmoid colon and bowel loops also get significant dose during treatment of carcinoma of cervix which often results late toxicity. The purpose of this study is evaluate CT image based volumetric doses of organ at risk and correlate the doses with the toxicity profile observed in cancer patients. Materials and Methods: Sixty high dose rate intracavitary brachytherapy applications were performed in thirty patients of carcinoma of cervix. External beam therapy was planned for 46 Gy in 23 fractions followed by two brachytherapy sessions of 9 Gy/session. External beam radiotherapy was given by four field box technique to each patient. CT based treatment planning was done for each intracavitary brachytherapy application. Dose volume histogram was used for analysis of volumetric dose parameters and correlated with the RTOG defined normal organ toxicity profile of the patients. Results: In the follow up of two years 2 (6.66%) patient had died, 12 (40%) patients had reported no significant problem, 3 (10%) patient got bladder toxicity of grade 2, 10 (33.33%) patients had reported small intestine toxicity of grade 1 and grade 2 while no information could be available for 3 (10%) patients. The average volume of rectum, sigmoid colon and bowel loops were 60.34 cc, 22.19 cc and 270.82 cc. The average, median and 2 cc volume doses for rectum 289 ± 121 cGy, 263 ± 113 cGy and 884 ± 444 cGy for sigmoid colon 409 ± 211 cGy, 366 ± 185 cGy and 693 ± 371 cGy resp. and for bowel loops 240 ± 169 cGy, 153 ± 59 cGy and 870 ± 222 cGy. The average and median sigmoid colon point doses were higher than rectum average (p= 0.000) and median doses (p =0.001) but 2cc volumetric doses of sigmoid colon are less than rectum 2cc volumetric doses (p = 0.013). For bowel loops the 2cc volumetric doses were much higher than average doses (p = 0.000) due to its large volume. The recto-sigmoidal toxicity profile were evaluated for sigmoidal max doses and rectum 2 cc volumetric dose profile. There was a poor correlation between rectum 2 cc volumetric dose and sigmoid 2 cc volumetric doses. Conclusion: According to dose toxicity profile, sigmoidal doses represent an important role for dose constrains but till now no protocol has been formed for reporting the sigmoidal doses. This study attracts the attention for reporting the sigmoidal and bowl loop doses. This study demonstrates the possibility and role of volumetric imaging and dosimetry for improvement in dose constraints.
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Sunderland, 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.

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Kovalskaya, 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.

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Röschlein, 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.

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Diniz, 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.

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Órgãos em risco (OARs) são tecidos saudáveis ao redor do câncer que devem ser preservados na radioterapia (RT). O coração é um dos OARs fundamentais, assim, softwares computacionais foram desenvolvidos para auxiliar os especialistas na segmentação. Neste trabalho, propõe-se um método automático para segmentação a partir da tomografia computadorizada. O método consiste em 3 etapas: (1) aquisição de banco de dados público e diversificado; (2) padronização de volume usando registro e correspondência de histograma; e (3) segmentação do coração usando atlas e U-Net com blocos residuais (ResU-Net). Assim, alcançou-se 92,53% de Dice e 84,73% de Jaccard. Com a inovação e os resultados, mostra-se que o método proposto é promissor.
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Ferreira, 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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