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Radiomics is a promising technique for discovering image based biomarkers of therapy response in cancer. Reproducibility of radiomics features is a known issue that is addressed by the image biomarker standardisation initiative (IBSI), but it remains challenging to interpret previously published radiomics signatures. This study investigates the reproducibility of radiomics features calculated with two widely used radiomics software packages (IBEX, MaZda) in comparison to an IBSI compliant software package (PyRadiomics). Intensity histogram, shape and textural features were extracted from 334 diffusion weighted magnetic resonance images of 59 head and neck cancer (HNC) patients from the PREDICT-HN observational radiotherapy study. Based on name and linear correlation, PyRadiomics shares 83 features with IBEX and 49 features with MaZda, a sub-set of well correlated features are considered reproducible (IBEX: 15 features, MaZda: 18 features). We explore the impact of including non-reproducible radiomics features in a HNC radiotherapy response model. It is possible to classify equivalent patient groups using radiomic features from either software, but only when restricting the model to reliable features using a correlation threshold method. This is relevant for clinical biomarker validation trials as it provides a framework to assess the reproducibility of reported radiomic signatures from existing trials.

Radiomics is a promising technique for discovering image based biomarkers of therapy response in cancer. Reproducibility of radiomics features is a known issue that is addressed by the image biomarker standardisation initiative (IBSI), but it remains challenging to interpret previously published radiomics signatures. This study investigates the reproducibility of radiomics features calculated with two widely used radiomics software packages (IBEX, MaZda) in comparison to an IBSI compliant software package (PyRadiomics). Intensity histogram, shape and textural features were extracted from 334 diffusion weighted magnetic resonance images of 59 head and neck cancer (HNC) patients from the PREDICT-HN observational radiotherapy study. Based on name and linear correlation, PyRadiomics shares 83 features with IBEX and 49 features with MaZda, a sub-set of well correlated features are considered reproducible (IBEX: 15 features, MaZda: 18 features). We explore the impact of including non-reproducible radiomics features in a HNC radiotherapy response model. It is possible to classify equivalent patient groups using radiomic features from either software, but only when restricting the model to reliable features using a correlation threshold method. This is relevant for clinical biomarker validation trials as it provides a framework to assess the reproducibility of reported radiomic signatures from existing trials.

To date, there appear to be no studies investigating the practice settings of all Medical Toxicology (MT) diplomates. The MT Assessment of Practice Performance Taskforce queried all MT diplomates about their current practice settings relative to the number of patients seen, the most common diagnoses, and the percent of time spent in their roles as medical toxicologists (MTs) and in their primary specialty. One hundred twenty-seven surveys were completed (44% response rate). Seventy-nine percent of respondents were affiliated with poison centers. Eighty-eight percent of participants were clinically active and reported seeing or consulting on behalf of at least ten patients over a 2-year period. Acetaminophen toxicity was the most common diagnosis encountered by respondents. Other common diagnoses included antidepressant toxicity, antipsychotic toxicity, mental status alteration, metal/environmental toxicity, envenomation, and pesticide toxicity. While respondents were likely to spend more time in direct patient care in their primary specialty, compared to consulting on behalf of patients, they were more likely to consult on behalf of patients in their role as MTs. Respondents spent more time in research, education, and population health in their role as an MT than in their primary specialty. Administrative activities were more commonly reported in association with the respondents' primary specialty than in their role as MTs. Most MTs encounter certain diagnoses with significant frequency and see a substantial number of patients within these categories. The majority spends more time on direct patient care in their primary specialty but is actively engaged in MT education, research, population health, and administration. A longitudinal assessment of MT practice patterns could inform MT curricular development and practice performance evaluation.

To date, there appear to be no studies that assess Medical Toxicologists’ (MTs) practice improvement (PI) activities in their Medical Toxicology practice settings. The MT Assessment of Practice Performance (APP) Taskforce queried all MT diplomates about (1) activities currently available in their practice settings that potentially would meet the requirements of APP, (2) potential APP activities that best fit with current MT practice, and (3) the relationship between MT practice patterns and APP requirements. One hundred twenty-seven surveys were completed. Participation in MT practice improvement activities is not universal, with approximately a third of the survey participants reporting that they are not involved in any practice improvement activity. Few respondents reported that they collected performance improvement-related data. Most who did so participated in CME, case, or chart reviews. Peer reviews, self-improvement plans based on chart reviews, and population research were considered the most valid measures of MT practice improvement. Communication skills were considered important topics for patient surveys. Suggested outcomes for peer assessment included accuracy of information provided, understanding medical staff concerns, timeliness of feedback, and helpfulness. Most respondents rated all of the APP options as being somewhat very intrusive. Access to those with sufficient knowledge of the diplomate’s practice improvement program to verify APP could pose a challenge to a successful completion of APP requirements. Optimal settings for the APP program administration are hospitals and poison centers. While barriers to MT APP activities exist, studying current MT diplomates’ opinions and practices could inform the future development and administration of such programs.

Nach einer Ubersicht uber wichtlge Einflusse auf die feuchtebedingten Langenanderungen von Holzwerkstoffen (Plattenstruktur und-komponenten, Mesmethode, Probengrose, Klimatisierung) wird uber Messungen mit kunstharz-und mineralisch gebundenen Spanplatten, im Nas-und Trockenverfahren hergestellten Faserplatten, OSB, Massivholzplatte und Furniersperrholz berichtet. Der Klimasprung vom Normalklima 20 °C/65% rel. Luftfeuchte in das Trockenklima 20/35 bzw. Feuchtklima 20/85 wird mit einer zweistufigen Klimatisierung verglichen. Die gemessenen Langenanderungen der Holzwerkstoffe sowie die Ausgleichsfeuchten bei 20 °C fur die relativen Luftfeuchten 35, 50, 65, 75 und 85% sind tabelliert. Die Ergebnisse erlauben wichtige Schlusfolgerungen fur die Neubearbeitung der EN 318, verdeutlichen den Einflus der Klimatisierungsart und zeigen die Moglichkeit eines Kurzverfahrens zur Qualitatsuberwachung an Holzwerkstoffen.