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BackgroundInvasive species threaten the productivity and stability of natural and managed ecosystems. Predicting the spread of invaders, which can aid in early mitigation efforts, is a major challenge, especially in the face of climate change. While ecological niche models are effective tools to assess habitat suitability for invaders, such models have rarely been created for invasive pest species with rapidly expanding ranges. Here, we leveraged a national monitoring effort from 543 sites over 3 years to assess factors mediating the occurrence and abundance of brown marmorated stink bug (BMSB, Halyomorpha halys), an invasive insect pest that has readily established throughout much of the United States.ResultsWe used maximum entropy models to estimate the suitable habitat of BMSB under several climate scenarios, and generalized boosted models to assess environmental factors that regulated BMSB abundance. Our models captured BMSB distribution and abundance with high accuracy, and predicted a 70% increase in suitable habitat under future climate scenarios. However, environmental factors that mediated the geographical distribution of BMSB were different from those driving abundance. While BMSB occurrence was most affected by winter precipitation and proximity to populated areas, BMSB abundance was influenced most strongly by evapotranspiration and solar photoperiod.ConclusionOur results suggest that linking models of establishment (occurrence) and population dynamics (abundance) offers a more effective way to forecast the spread and impact of BMSB and other invasive species than simply occurrence-based models, allowing for targeted mitigation efforts. Implications of distribution shifts under climate change are discussed. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Biological control is often a key component of management strategies for invasive species. Yet, the effectiveness of biological control can be limited by a poor understanding of natural enemy ecology. To overcome this, habitat suitability models can predict distributions of invasive species and identify areas of potential overlap between invaders and natural enemies to guide biological control. Here we used data from a coordinated national monitoring network and a novel modeling method that incorporates physiology into correlative niche models to predict potential distributions of the brown marmorated stink bug, Halyomorpha halys, and two natural enemies (a parasitoid, Trissolcus japonicus, and a microsporidian, Nosema maddoxi) in current and future climates (2070s). We show all three species have broad similarity in habitat suitability, with especially high overlap in the mid-Atlantic and southeastern US where H. halys populations were first established. Each species will likely expand their range across the northern US in the future, but the overlap between species may decrease. In much of the central and southeastern US, H. halys may decrease its range over time, although natural enemies may be less impacted, and overlap between species may increase. Our study shows that biological control provided by T. japonicus and N. maddoxi could be key for managing H. halys given their overlapping niches, and our models can aid in delineating areas where biocontrol may be most effective. Our method of linking field data with correlative niche models can also be used for other insects. [ABSTRACT FROM AUTHOR]

Aim: To compare total metabolic tumour volume (tMTV), calculated using two artificial intelligence (AI)‐based tools, with manual segmentation by specialists as the reference. Methods: Forty‐eight consecutive Hodgkin lymphoma (HL) patients staged with [18F] fluorodeoxyglucose positron emission tomography/computed tomography were included. The median age was 35 years (range: 7–75), 46% female. The tMTV was automatically measured using the AI‐based tools positron emission tomography assisted reporting system (PARS) (from Siemens) and RECOMIA (recomia.org) without any manual adjustments. A group of eight nuclear medicine specialists manually segmented lesions for tMTV calculations; each patient was independently segmented by two specialists. Results: The median of the manual tMTV was 146 cm3 (interquartile range [IQR]: 79–568 cm3) and the median difference between two tMTV values segmented by different specialists for the same patient was 26 cm3 (IQR: 10–86 cm3). In 22 of the 48 patients, the manual tMTV value was closer to the RECOMIA tMTV value than to the manual tMTV value segmented by the second specialist. In 11 of the remaining 26 patients, the difference between the RECOMIA tMTV and the manual tMTV was small (<26 cm3, which was the median difference between two manual tMTV values from the same patient). The corresponding numbers for PARS were 18 and 10 patients, respectively. Conclusion: The results of this study indicate that RECOMIA and Siemens PARS AI tools could be used without any major manual adjustments in 69% (33/48) and 58% (28/48) of HL patients, respectively. This demonstrates the feasibility of using AI tools to support physicians measuring tMTV for assessment of prognosis in clinical practice. [ABSTRACT FROM AUTHOR]

BACKGROUND: Brown marmorated stink bug (BMSB), Halyomorpha halys (Stål), is an invasive and severe pest of specialty and row crops. A 2‐year field study conducted in four Mid‐Atlantic states in the USA characterized the spatial and temporal dynamics of BMSB populations and its association with landscape elements in commercial agriculture settings. In each state, two 1 km2 sites included typical landscape elements (i.e., tree fruit orchards, annual field and vegetable crops, woodlands, and human‐made structures). Twenty‐seven georeferenced pheromone traps were deployed per site and the number of BMSB adults and nymphs captured was counted throughout the growing season. RESULTS: Findings from spatial analysis by distance indices, along with time‐series maps of BMSB distribution, showed that BMSB exhibited significant spatial aggregation, and that its distribution was spatially consistent between years. Analyses with geographic information systems (GIS) revealed that BMSB 'hot spots' occurred in different landscape elements throughout each season. Most patches (i.e., clusters of significantly higher trap captures) were found near woodlands early in the season, near tree fruit orchards in summer, and on the border of annual field crops in autumn. Buffer analysis with GIS indicated that more BMSB adults were captured closer to woodlands compared with other landscape elements. CONCLUSION: Understanding the spatial and temporal movement and distribution of BMSB is critical to predicting their potential impact and ultimately devising strategies to mitigate this risk to vulnerable crops. The results of this study can be used to design streamlined, spatially‐based areawide management of BMSB in heterogeneous and complex agricultural landscapes. © 2023 Society of Chemical Industry. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. [ABSTRACT FROM AUTHOR]

Background: Diffuse large B‐cell lymphoma (DLBCL) is the most common form of lymphoma. European guidelines recommend FDG‐PET/CT for staging and end of treatment (EOT) response assessment, mid‐treatment response assessment is optional. We compared the Lugano classification and PET Response Criteria In Solid Tumours (PERCIST) for FDG‐PET/CT response assessment in DLBCL head‐to‐head. Methods: We retrospectively included patients with DLBCL who underwent first‐line R‐CHOP(‐like) therapy (2013−2020). Interim and EOT FDG‐PET/CT response were reevaluated using the Lugano classification and PERCIST. Response was dichotomized into complete metabolic response (CMR) versus non‐CMR (interim and EOT) and responders versus nonresponders (interim only). The cutoff for nonresponse at interim was a Deauville score of 5 (DS5) with the Lugano classification and a partial metabolic response with ≤66% reduction in SULpeak using PERCIST (PERCIST66). Results: In multivariable Cox regression (N = 170), DS5 at interim, PERCIST66 at interim, non‐CMR at EOT with the Lugano classification and non‐CMR at EOT with PERCIST were predictive of progression‐free survival (PFS). The Lugano classification and PERCIST agreed perfectly at interim and EOT and with 98.4% for the identification of nonresponders at interim. The accuracy for predicting events within 2 years of diagnosis was 84.2% for DS‐5 at interim, 87.6% for PERCIST66 at interim, 86% for non‐CMR with the Lugano classification at EOT and 83.3% for non‐CMR with PERCIST at EOT. Conclusion: The Lugano classification and PERCIST were equally predictive of PFS. Nonresponse at interim and non‐CMR at EOT were predictive of poor PFS with comparable accuracy for predicting events within 2 years. [ABSTRACT FROM AUTHOR]