Impact of lesion delineation and intensity quantisation on the stability of texture features from lung nodules on ct: A reproducible study

Computer-assisted analysis of three-dimensional imaging data (radiomics) has received a lot of research attention as a possible means to improve the management of patients with lung cancer. Building robust predictive models for clinical decision making requires the imaging features to be stable enough to changes in the acquisition and extraction settings. Experimenting on 517 lung lesions from a cohort of 207 patients, we assessed the stability of 88 texture features from the following classes: first-order (13 features), Grey-level Co-Occurrence Matrix (24), Grey-level Difference Matrix (14), Grey-level Run-length Matrix (16), Grey-level Size Zone Matrix (16) and Neighbouring Grey-tone Difference Matrix (five). The analysis was based on a public dataset of lung nodules and open-access routines for feature extraction, which makes the study fully reproducible. Our results identified 30 features that had good or excellent stability relative to lesion delineation, 28 to intensity quantisation and 18 to both. We conclude that selecting the right set of imaging features is critical for building clinical predictive models, particularly when changes in lesion delineation and/or intensity quantisation are involved

Complexity in water and carbon dioxide fluxes following rain pulses in an African savanna

The idea that many processes in arid and semi-arid ecosystems are dormant until activated by a pulse of rainfall, and then decay from a maximum rate as the soil dries, is widely used as a conceptual and mathematical model, but has rarely been evaluated with data. This paper examines soil water, evapotranspiration (ET), and net ecosystem CO2 exchange measured for 5 years at an eddy covariance tower sited in an Acacia–Combretum savanna near Skukuza in the Kruger National Park, South Africa. The analysis characterizes ecosystem flux responses to discrete rain events and evaluates the skill of increasingly complex “pulse models”. Rainfall pulses exert strong control over ecosystem-scale water and CO2 fluxes at this site, but the simplest pulse models do a poor job of characterizing the dynamics of the response. Successful models need to include the time lag between the wetting event and the process peak, which differ for evaporation, photosynthesis and respiration. Adding further complexity, the time lag depends on the prior duration and degree of water stress. ET response is well characterized by a linear function of potential ET and a logistic function of profile-total soil water content, with remaining seasonal variation correlating with vegetation phenological dynamics (leaf area). A 1- to 3-day lag to maximal ET following wetting is a source of hysteresis in the ET response to soil water. Respiration responds to wetting within days, while photosynthesis takes a week or longer to reach its peak if the rainfall was preceded by a long dry spell. Both processes exhibit nonlinear functional responses that vary seasonally. We conclude that a more mechanistic approach than simple pulse modeling is needed to represent daily ecosystem C processes in semiarid savannas

6-hydroxy derivatives as New Desfluoroquinolone (DFQ): synthesis and DNA-binding study

A new 6-desfluoroquinolone derivative, characterized by the presence of a 6-hydroxyl group instead of the usual fluorine atom at the C-6 position, was synthesized with the aim to better understand the mechanistic role of the C-6 substituent in the quinolone/DNA/DNA-gyrase interaction. The antibacterial activity unambiguously shows that the hydroxyl group is a good substitute for the C-6 fluorine atom, especially against Gram-positive bacteria. On the contrary, it is a very weak inhibitor of the target DNA gyrase, displaying the highest IC50 value observed for all the C-6 substituted analogues. This behaviour could be explained on the basis of its DNA binding properties

Antiviral 6-amino-quinolones: Molecular basis for potency and selectivity.

Structural modifications introduced in 6-amino-quinolones to increase antiviral activity can strongly affect cytotoxicity to host cells. By competition to Tat-TAR complex and binding experiments to viral and cellular DNA and RNA structures, we show that the nature of the substituent at position 7 modifies drug affinity and specificity for the nucleic acid. Interestingly, the basicity of the above substituent modulates chelation of the quinolone template to magnesium ions, which, in turn, critically affects the potency and target selectivity in the antiviral quinolone family

Mg2+-mediated binding of 6-substituted quinolones to DNA: Relevance to biological activity

The interaction of a number of novel 6-substituted quinolone derivatives with DNA in the presence/absence of magnesium ions has been investigated by \uafuorometric techniques. The drug-single-stranded nucleic acid interaction is invariantly mediated by the metal ion. In all cases optimal complex formation is found at physiological Mg2+ con- centration. From titrations at di\u80erent [Mg2+] the binding constant for the ternary drug\ub1DNA\ub1Mg2+ complex (KT) has been evaluated. Interestingly, a good relationship is found between KT and gyrase poisoning activity of the test quino- lones (IC50), which con\uaerms that DNA-a\u81nity of the quinolone, modulated by Mg2+, plays an important role in poi- soning the cleavable gyrase\ub1DNA complex and, consequently, in eliciting antibacterial activity in this family of drugs. The results obtained with di\u80erent 6-substituted compounds supports the idea that position 6 of the drug, besides playing a pharmacokinetic role, is involved in recognition of the enzyme pocket. Our data do not support a mechanism of action based upon quinolone intercalation into B-DNA