Correlation of phantom-based and log file patient-specific QA with complexity scores for VMAT

The motivation for this study was to reduce physics workload relating to patient- specific quality assurance (QA). VMAT plan delivery accuracy was determined from analysis of pre- and on-treatment trajectory log files and phantom-based ionization chamber array measurements. The correlation in this combination of measurements for patient-specific QA was investigated. The relationship between delivery errors and plan complexity was investigated as a potential method to further reduce patient-specific QA workload. Thirty VMAT plans from three treatment sites - prostate only, prostate and pelvic node (PPN), and head and neck (H&N) - were retrospectively analyzed in this work. The 2D fluence delivery reconstructed from pretreatment and on-treatment trajectory log files was compared with the planned fluence using gamma analysis. Pretreatment dose delivery verification was also car- ried out using gamma analysis of ionization chamber array measurements compared with calculated doses. Pearson correlations were used to explore any relationship between trajectory log file (pretreatment and on-treatment) and ionization chamber array gamma results (pretreatment). Plan complexity was assessed using the MU/ arc and the modulation complexity score (MCS), with Pearson correlations used to examine any relationships between complexity metrics and plan delivery accu- racy. Trajectory log files were also used to further explore the accuracy of MLC and gantry positions. Pretreatment 1%/1 mm gamma passing rates for trajectory log file analysis were 99.1% (98.7%-99.2%), 99.3% (99.1%-99.5%), and 98.4% (97.3%-98.8%) (median (IQR)) for prostate, PPN, and H&N, respectively, and were significantly correlated to on-treatment trajectory log file gamma results (R = 0.989, p < 0.001). Pretreatment ionization chamber array (2%/2 mm) gamma results were also significantly correlated with on-treatment trajectory log file gamma results (R = 0.623, p < 0.001). Furthermore, all gamma results displayed a significant correlation with MCS (R > 0.57, p < 0.001), but not with MU/arc. Average MLC position and gantry angle errors were 0.001 ± 0.002 mm and 0.025° ± 0.008° over all treatment sites and were not found to affect delivery accuracy. However, vari- ability in MLC speed was found to be directly related to MLC position accuracy. The accuracy of VMAT plan delivery assessed using pretreatment trajectory log file fluence delivery and ionization chamber array measurements were strongly correlated with on-treatment trajectory log file fluence delivery. The strong corre- lation between trajectory log file and phantom-based gamma results demonstrates potential to reduce our current patient-specific QA. Additionally, insight into MLC and gantry position accuracy through trajectory log file analysis and the strong cor- relation between gamma analysis results and the MCS could also provide further methodologies to both optimize the VMAT planning and QA process. 

The role of complexity metrics in a multi-institutional dosimetry audit of VMAT

OBJECTIVE: To demonstrate the benefit of complexity metrics such as the modulation complexity score (MCS) and monitor units (MUs) in multi-institutional audits of volumetric-modulated arc therapy (VMAT) delivery.

METHODS: 39 VMAT treatment plans were analysed using MCS and MU. A virtual phantom planning exercise was planned and independently measured using the PTW Octavius(®) phantom and seven29(®) 2D array (PTW-Freiburg GmbH, Freiburg, Germany). MCS and MU were compared with the median gamma index pass rates (2%/2 and 3%/3 mm) and plan quality. The treatment planning systems (TPS) were grouped by VMAT modelling being specifically designed for the linear accelerator manufacturer's own treatment delivery system (Type 1) or independent of vendor for VMAT delivery (Type 2). Differences in plan complexity (MCS and MU) between TPS types were compared.

RESULTS: For Varian(®) linear accelerators (Varian(®) Medical Systems, Inc., Palo Alto, CA), MCS and MU were significantly correlated with gamma pass rates. Type 2 TPS created poorer quality, more complex plans with significantly higher MUs and MCS than Type 1 TPS. Plan quality was significantly correlated with MU for Type 2 plans. A statistically significant correlation was observed between MU and MCS for all plans (R = -0.84, p < 0.01).

CONCLUSION: MU and MCS have a role in assessing plan complexity in audits along with plan quality metrics. Plan complexity metrics give some indication of plan deliverability but should be analysed with plan quality.

ADVANCES IN KNOWLEDGE: Complexity metrics were investigated for a national rotational audit involving 34 institutions and they showed value. The metrics found that more complex plans were created for planning systems which were independent of vendor for VMAT delivery.

Examination of the properties of IMRT and VMAT beams and evaluation against pre-treatment quality assurance results

This study aimed to provide a detailed evaluation and comparison of a range of modulated beam evaluation metrics, in terms of their correlation with QA testing results and their variation between treatment sites, for a large number of treatments. Ten metrics including the modulation index (MI), fluence map complexity (FMC), modulation complexity score (MCS), mean aperture displacement (MAD) and small aperture score (SAS) were evaluated for 546 beams from 122 IMRT and VMAT treatment plans targeting the anus, rectum, endometrium, brain, head and neck and prostate. The calculated sets of metrics were evaluated in terms of their relationships to each other and their correlation with the results of electronic portal imaging based quality assurance (QA) evaluations of the treatment beams. Evaluation of the MI, MAD and SAS suggested that beams used in treatments of the anus, rectum, head and neck were more complex than the prostate and brain treatment beams. Seven of the ten beam complexity metrics were found to be strongly correlated with the results from QA testing of the IMRT beams (p < 0.00008). For example, Values of SAS (with MLC apertures narrower than 10 mm defined as “small”) less than 0.2 also identified QA passing IMRT beams with 100% specificity. However, few of the metrics are correlated with the results from QA testing of the VMAT beams, whether they were evaluated as whole 360◦ arcs or as 60◦ sub-arcs. Select evaluation of beam complexity metrics (at least MI, MCS and SAS) is therefore recommended, as an intermediate step in the IMRT QA chain. Such evaluation may also be useful as a means of periodically reviewing VMAT planning or optimiser performance.

Implementation of phantom-less IMRT delivery verification using Varian DynaLog files and R/V output

This study aims to evaluate the use of Varian radiotherapy dynamic treatment log (DynaLog) files to verify IMRT plan delivery as part of a routine quality assurance procedure. Delivery accuracy in terms of machine performance was quantified by multileaf collimator (MLC) position errors and fluence delivery accuracy for patients receiving intensity modulated radiation therapy (IMRT) treatment. The relationship between machine performance and plan complexity, quantified by the modulation complexity score (MCS) was also investigated. Actual MLC positions and delivered fraction of monitor units (MU), recorded every 50 ms during IMRT delivery, were extracted from the DynaLog files. The planned MLC positions and fractional MU were taken from the record and verify system MLC control file. Planned and delivered beam data were compared to determine leaf position errors with and without the overshoot effect. Analysis was also performed on planned and actual fluence maps reconstructed from the MLC control file and delivered treatment log files respectively. This analysis was performed for all treatment fractions for 5 prostate, 5 prostate and pelvic node (PPN) and 5 head and neck (H&N) IMRT plans, totalling 82 IMRT fields in ∼5500 DynaLog files. The root mean square (RMS) leaf position errors without the overshoot effect were 0.09, 0.26, 0.19 mm for the prostate, PPN and H&N plans respectively, which increased to 0.30, 0.39 and 0.30 mm when the overshoot effect was considered. Average errors were not affected by the overshoot effect and were 0.05, 0.13 and 0.17 mm for prostate, PPN and H&N plans respectively. The percentage of pixels passing fluence map gamma analysis at 3%/3 mm was 99.94 ± 0.25%, which reduced to 91.62 ± 11.39% at 1%/1 mm criterion. Leaf position errors, but not gamma passing rate, were directly related to plan complexity as determined by the MCS. Site specific confidence intervals for average leaf position errors were set at -0.03-0.12 mm for prostate and -0.02-0.28 mm for more complex PPN and H&N plans. For all treatment sites confidence intervals for RMS errors with the overshoot was set at 0-0.50 mm and for the percentage of pixels passing a gamma analysis at 1%/1 mm a confidence interval of 68.83% was set also for all treatment sites. This work demonstrates the successful implementation of treatment log files to validate IMRT deliveries and how dynamic log files can diagnose delivery errors not possible with phantom based QC. Machine performance was found to be directly related to plan complexity but this is not the dominant determinant of delivery accuracy.

Analyse des facteurs institutionnels associés à la mortalité maternelle : Une étude nationale dans les maternités chirurgicales au Sénégal

Résumé Objectif : Identifier les facteurs institutionnels qui influencent la mortalité maternelle (MM) hospitalière dans les maternités chirurgicales au Sénégal. Méthode : cette étude est une analyse secondaire des données de la troisième Enquête Nationale sur la Couverture Obstétrico-chirurgicale au Sénégal en 2001. Les données analysées, issues des fiches d'activité des maternités, comptaient pour 38,239 admissions en obstétrique dans 19 hôpitaux et 450 décès maternels. Les taux de mortalité maternelle hospitalière (TMMH) brut et ajusté ont été utilisés comme variables dépendantes. Le TMMH ajusté sur les caractéristiques de la clientèle ('cases-mix') a été estimé pour chaque établissement de santé par la méthode de standardisation directe. Les indicateurs de la qualité des structures, de la gestion des ressources, et un score de qualité ont été utilisés comme variables indépendantes pour prédire la MM hospitalière. Les tests de Mann-Whitney et de Kruskal-Wallis ont été utilisés pour analyser l’association entre les variables indépendantes, le score de qualité et la MM. Une analyse multivariée a été utilisée pour estimer l’impact du score de qualité sur la MM, en tenant compte de la situation géographique (Dakar versus autre région).Résultats: En analyse bivariée, la présence d'anesthésiste, la disponibilité de boîtes de césarienne complète et la supervision de tous les accouchements par du personnel qualifié sont les facteurs institutionnels associés significativement à une réduction du TMMH brut. Quant au TMMH ajusté ce sont la présence de scialytique, la disponibilité du sulfate de magnésium, l'utilisation des guides de pratiques cliniques (GPC) pour la prise en charge des complications obstétricales. Le score de qualité est associé significativement au TMMH brut, y compris en analyse multivariée, mais pas au TMMH ajusté. Conclusion : La disponibilité du Sulfate de magnésium, et du scialytique pourrait contribuer à la réduction de la MM. En complément, une réorganisation adéquate des ressources pour réduire la disparité géographique rurale/urbaine est essentielle ainsi qu’une sensibilisation du personnel à l’usage des GPC. De plus, l’assistance par un personnel qualifié de tous les accouchements est nécessaire pour améliorer la qualité des soins et la prise en charge des complications obstétricales.

Evaluation of Surgical Treatment of Congenital Heart Disease in Patients Aged Above 16 Years

Background: The increasing number of children with evolving congenital heart diseases demands greater preparation of professionals and institutions that handle them. Objective: To describe the profile of patients aged over 16 years with congenital heart disease, who have undergone surgery, and analyze the risk factors that predict hospital mortality. Methods: One thousand five hundred twenty patients (mean age 27 +/- 13 years) were operated between January 1986 and December 2010. We performed a descriptive analysis of the epidemiological profile of the study population and analyzed risk factors for hospital mortality, considering the complexity score, the year in which surgery was performed, the procedure performed or not performed by the pediatric surgeon and reoperation. Results: There was a significant increase in the number of cases from the year 2000. The average complexity score was 5.4 and the septal defects represented 45% of cases. Overall mortality was 7.7% and most procedures (973 or 61.9%) with greater complexity were performed by pediatric surgeons. Complexity (OR 1.5), reoperation (OR 2.17) and pediatric surgeon (OR 0.28) were independent risk factors influencing mortality. Multivariate analysis showed that the year in which the surgery was performed (OR 1.03), the complexity (OR 1.44) and the pediatric surgeon (OR 0.28) influenced the result. Conclusion: There is an increasing number of patients aged 16 years which, despite the large number of simple cases, the most complex ones were referred to pediatric surgeons, who had lower mortality, especially in recent years. (Arq Bras Cardiol 2012;98(5):390-397)

Treatment plan complexity metrics for predicting IMRT pre-treatment quality assurance results

The planning of IMRT treatments requires a compromise between dose conformity (complexity) and deliverability. This study investigates established and novel treatment complexity metrics for 122 IMRT beams from prostate treatment plans. The Treatment and Dose Assessor software was used to extract the necessary data from exported treatment plan files and calculate the metrics. For most of the metrics, there was strong overlap between the calculated values for plans that passed and failed their quality assurance (QA) tests. However, statistically significant variation between plans that passed and failed QA measurements was found for the established modulation index and for a novel metric describing the proportion of small apertures in each beam. The ‘small aperture score’ provided threshold values which successfully distinguished deliverable treatment plans from plans that did not pass QA, with a low false negative rate.

Low Complexity LID using Pruned Pattern Tables of LZW

We present two discriminative language modelling techniques for Lempel-Ziv-Welch (LZW) based LID system. The previous approach to LID using LZW algorithm was to directly use the LZW pattern tables forlanguage modelling. But, since the patterns in a language pattern table are shared by other language pattern tables, confusability prevailed in the LID task. For overcoming this, we present two pruning techniques (i) Language Specific (LS-LZW)-in which patterns common to more than one pattern table are removed. (ii) Length-Frequency product based (LF-LZW)-in which patterns having their length-frequency product below a threshold are removed. These approaches reduce the classification score (Compression Ratio [LZW-CR] or the weighted discriminant score [LZW-WDS]) for non native languages and increases the LID performance considerably. Also the memory and computational requirements of these techniques are much less compared to basic LZW techniques.

Sequential Monte Carlo computation of the score and observed information matrix in state-space models with application to parameter estimation

Sequential Monte Carlo (SMC) methods are popular computational tools for Bayesian inference in non-linear non-Gaussian state-space models. For this class of models, we propose SMC algorithms to compute the score vector and observed information matrix recursively in time. We propose two different SMC implementations, one with computational complexity $\mathcal{O}(N)$ and the other with complexity $\mathcal{O}(N^{2})$ where $N$ is the number of importance sampling draws. Although cheaper, the performance of the $\mathcal{O}(N)$ method degrades quickly in time as it inherently relies on the SMC approximation of a sequence of probability distributions whose dimension is increasing linearly with time. In particular, even under strong \textit{mixing} assumptions, the variance of the estimates computed with the $\mathcal{O}(N)$ method increases at least quadratically in time. The $\mathcal{O}(N^{2})$ is a non-standard SMC implementation that does not suffer from this rapid degrade. We then show how both methods can be used to perform batch and recursive parameter estimation.

Carga de trabalho de enfermeiros: uma análise do Nursing Activities Score (NAS)

Este estudo tem como objeto a carga de trabalho de enfermeiros que trabalham em unidades de cuidados semi-intensivos. Seu objetivo geral foi identificar e analisar a percepção dos enfermeiros de uma unidade semi-intensiva acerca do instrumento Nursing Activities Score - NAS, tendo como foco o conceito de carga de trabalho. Os objetivos específicos foram: identificar domínios do NAS considerados pelos enfermeiros como capazes de avaliar a carga de trabalho; identificar os itens que os enfermeiros consideram relevantes e manteriam no instrumento, os itens que excluiriam e os que acrescentariam; identificar itens que os enfermeiros consideram subdimensionados, para os quais aumentariam a pontuação, os superdimensionados, para os quais diminuiriam a pontuação; e, ao final, discutir implicações dessa avaliação para a organização do trabalho e seus impactos na saúde do trabalhador de enfermagem. Estudo de abordagem quantitativa do tipo descritivo exploratória, com breve aporte qualitativo, utilizando a triangulação metodológica. O local de estudo foi uma unidade de média complexidade com 35 leitos em um hospital privado do Rio de Janeiro. Participaram do estudo 28 enfermeiros e os dados foram coletados por meio de um questionário com perguntas fechadas e abertas no período de abril a maio de 2008. O tratamento dos dados foi realizado com apoio do software Excel, utilizando estatística descritiva. O material qualitativo foi organizado em categorias, usando elementos da Análise de Conteúdo Temática. Entre os domínios, verificou-se que os enfermeiros consideram o que mais avalia a carga real de trabalho o Suporte Ventilatório, com 89%, e o domínio que não avalia a carga de trabalho foi o Suporte Neurológico, com 25%. Os três domínios mais citados para serem acrescidos de atividades foram o Suporte Renal, com 25%, seguido Intervenção Especificas, com 21%, e Suporte Metabólico, respectivamente. Quanto à exclusão de atividades, só dois domínios foram mencionados: Suporte Ventilatório, com 25%, e Atividade Básica, com 21%. Os enfermeiros acham que 69% da pontuação era adequada aos itens e 31% acreditam não estar adequada. No grupo, 27% aumentariam a pontuação em alguns itens e 4% diminuiriam a pontuação. Sobre a mensuração da carga de trabalho, acreditam que essa colabora no processo de trabalho, 79%, e 57% acham que mensurar a carga de trabalho através do NAS pode auxiliar na preservação de sua saúde. Concluímos que esse instrumento mensura a carga de trabalho na opinião dos enfermeiros, mas precisa ser adaptado à realidade da unidade onde está sendo aplicada. Além disso, os enfermeiros alteraram mais os itens relacionados à carga física sem identificar a carga psíquica de trabalho como relevante, evidenciando que o trabalho de enfermagem precisa ser mais bem conhecido pelos enfermeiros no que se refere às dimensões de impacto na sua saúde.

Exploring statistical and population aspects of network complexity

The characterization and the definition of the complexity of objects is an important but very difficult problem that attracted much interest in many different fields. In this paper we introduce a new measure, called network diversity score (NDS), which allows us to quantify structural properties of networks. We demonstrate numerically that our diversity score is capable of distinguishing ordered, random and complex networks from each other and, hence, allowing us to categorize networks with respect to their structural complexity. We study 16 additional network complexity measures and find that none of these measures has similar good categorization capabilities. In contrast to many other measures suggested so far aiming for a characterization of the structural complexity of networks, our score is different for a variety of reasons. First, our score is multiplicatively composed of four individual scores, each assessing different structural properties of a network. That means our composite score reflects the structural diversity of a network. Second, our score is defined for a population of networks instead of individual networks. We will show that this removes an unwanted ambiguity, inherently present in measures that are based on single networks. In order to apply our measure practically, we provide a statistical estimator for the diversity score, which is based on a finite number of samples.

Medication regimen complexity in institutionalized elderly people in an aging society

Background Complex medication regimens may adversely affect compliance and treatment outcomes. Complexity can be assessed with the medication regimen complexity index (MRCI), which has proved to be a valid, reliable tool, with potential uses in both practice and research. Objective To use the MRCI to assess medication regimen complexity in institutionalized elderly people. Setting Five nursing homes in mainland Portugal. Methods A descriptive, cross-sectional study of institutionalized elderly people (n = 415) was performed from March to June 2009, including all inpatients aged 65 and over taking at least one medication per day. Main outcome measure Medication regimen complexity index. Results The mean age of the sample was 83.9 years (±6.6 years), and 60.2 % were women. The elderly patients were taking a large number of drugs, with 76.6 % taking more than five medications per day. The average medication regimen complexity was 18.2 (±SD = 9.6), and was higher in the females (p < 0.001). The most decisive factors contributing to the complexity were the number of drugs and dosage frequency. In regimens with the same number of medications, schedule was the most relevant factor in the final score (r = 0.922), followed by pharmaceutical forms (r = 0.768) and additional instructions (r = 0.742). Conclusion Medication regimen complexity proved to be high. There is certainly potential for the pharmacist’s intervention to reduce it as part as the medication review routine in all the patients.

Statistiques appliquées en chirurgie cardiaque adulte : analyses de survie et applications du “propensity score”

L'objectif principal de ce travail est d’étudier en profondeur certaines techniques biostatistiques avancées en recherche évaluative en chirurgie cardiaque adulte. Les études ont été conçues pour intégrer les concepts d'analyse de survie, analyse de régression avec “propensity score”, et analyse de coûts. Le premier manuscrit évalue la survie après la réparation chirurgicale de la dissection aigüe de l’aorte ascendante. Les analyses statistiques utilisées comprennent : analyses de survie avec régression paramétrique des phases de risque et d'autres méthodes paramétriques (exponentielle, Weibull), semi-paramétriques (Cox) ou non-paramétriques (Kaplan-Meier) ; survie comparée à une cohorte appariée pour l’âge, le sexe et la race utilisant des tables de statistiques de survie gouvernementales ; modèles de régression avec “bootstrapping” et “multinomial logit model”. L'étude a démontrée que la survie s'est améliorée sur 25 ans en lien avec des changements dans les techniques chirurgicales et d’imagerie diagnostique. Le second manuscrit est axé sur les résultats des pontages coronariens isolés chez des patients ayant des antécédents d'intervention coronarienne percutanée. Les analyses statistiques utilisées comprennent : modèles de régression avec “propensity score” ; algorithme complexe d'appariement (1:3) ; analyses statistiques appropriées pour les groupes appariés (différences standardisées, “generalized estimating equations”, modèle de Cox stratifié). L'étude a démontrée que l’intervention coronarienne percutanée subie 14 jours ou plus avant la chirurgie de pontages coronariens n'est pas associée à des résultats négatifs à court ou long terme. Le troisième manuscrit évalue les conséquences financières et les changements démographiques survenant pour un centre hospitalier universitaire suite à la mise en place d'un programme de chirurgie cardiaque satellite. Les analyses statistiques utilisées comprennent : modèles de régression multivariée “two-way” ANOVA (logistique, linéaire ou ordinale) ; “propensity score” ; analyses de coûts avec modèles paramétriques Log-Normal. Des modèles d’analyse de « survie » ont également été explorés, utilisant les «coûts» au lieu du « temps » comme variable dépendante, et ont menés à des conclusions similaires. L'étude a démontrée que, après la mise en place du programme satellite, moins de patients de faible complexité étaient référés de la région du programme satellite au centre hospitalier universitaire, avec une augmentation de la charge de travail infirmier et des coûts.

Comparación de la severidad y extensión de la enfermedad coronaria multivaso por Syntax Score en una poblaciòn de las Antillas Holandesas vs controles nacionales

En la Enfermedad Coronaria (EC) existen factores genéticos, socioculturales, medioambientales y raciales adicionales a los factores de riesgo cardiovascular mayores que podrían influir en su presentación. Se desconoce el impacto de la raza en la severidad de la enfermedad coronaria en los pacientes extranjeros que son enviados a nuestro Servicio. Objetivos: Comparar la severidad de la EC multivaso en una población de pacientes de las Antillas y Nacionales, pareados por la escala Framingham. Metodología: Realizamos un estudio de corte transversal, comparando pacientes colombianos contra pacientes provenientes de las Antillas holandesas con similares factores de riesgo según escala de Framingham, catalogándolos por grupos de riesgo bajo, intermedio, alto y muy alto. Todos con EC severa multivaso documentada por angiografía coronaria desde enero del 2009 hasta Junio de 2011. Se excluyeron pacientes con antecedentes de intervención percutánea o quirúrgica previa. Resultados: Ingresaron 115 pacientes internacionales y 115 pacientes nacionales. La relación hombres/mujeres 3:1. La proporción de grupos de riesgo fue de bajo riesgo 2.5%, intermedio 15%, alto 19.3%, y muy alto 63.4%. El Syntax Score en pacientes nacionales fue 14.3+/-7.4 y en internacionales 22.2+/-10.5 p: 0.002. Conclusiones: En pacientes provenientes de las Antillas Holandesas, valorados en nuestra institución, se observó una mayor severidad de la enfermedad coronaria comparada con una población nacional con factores de riesgo similares. Estos hallazgos sugieren la influencia de la raza y factores genéticos en la severidad y extensión de la EC

Efficient subwindow search with submodular score functions

Subwindow search aims to find the optimal subimage which maximizes the score function of an object to be detected. After the development of the branch and bound (B&B) method called Efficient Subwindow Search (ESS), several algorithms (IESS [2], AESS [2], ARCS [3]) have been proposed to improve the performance of ESS. For nn images, IESS's time complexity is bounded by O(n³) which is better than ESS, but only applicable to linear score functions. Other work shows that Monge properties can hold in subwindow search and can be used to speed up the search to O(n³), but only applies to certain types of score functions. In this paper we explore the connection between submodular functions and the Monge property, and prove that sub-modular score functions can be used to achieve O(n³) time complexity for object detection. The time complexity can be further improved to be sub-cubic by applying B&B methods on row interval only, when the score function has a multivariate submodular bound function. Conditions for sub-modularity of common non-linear score functions and multivariate submodularity of their bound functions are also provided, and experiments are provided to compare the proposed approach against ESS and ARCS for object detection with some nonlinear score functions.