Diagnostic accuracy of fine-needle aspiration cytology in histological grade 1 breast carcinomas: are we good enough?

Background: Fine-needle aspiration cytology (FNAC) of both palpable and non-palpable breast carcinomas has a high accuracy and sensitivity in dedicated centres. It is generally thought that low-grade carcinomas have a distinctly lower sensitivity due to discrete cellular atypia that may be difficult to appreciate. Grade 1 carcinomas make up about 45% of screening-detected breast carcinomas and about 20% of symptomatic breast cancers. The aim of this study was to evaluate the diagnostic sensitivity of grade 1 carcinomas and identify the critical features in the cytological diagnostic work-up of these tumours. Methods: There were FNAC smears from 494 histologically confirmed grade 1 carcinomas diagnosed during 1996–2004. The cytological diagnoses were compared with the histology. Results: A definitive malignant diagnosis (absolute sensitivity) was given in 382 cases (77.3%). Equivocal or suspicious diagnoses were given in 75 (15.2%), benign or probably benign (false negative) in 24 (4.8%). Thirteen cases (2.6%) were unsatisfactory. Complete sensitivity was 92.7%. Invasive ductal carcinomas comprised 81.3% of all cases; absolute sensitivity for these was 80.9%. Invasive lobular and tubular carcinomas comprised 7.3% and 5.9% of cases, respectively; absolute sensitivity for these diagnosis was 50.0% and 57.1%, respectively, significantly lower than for other subtypes (P ≤ 0.0001) whereas the difference for complete sensitivity was less but still significant (P = 0.017). Absolute and complete sensitivities were lower for tumours less than 1 cm size compared with more than 1 cm (P ≤ 0.00001). Conclusion: Preoperative FNAC diagnosis of grade 1 breast carcinoma has a high sensitivity, especially in ductal carcinomas. Invasive lobular and tubular carcinomas were less likely to receive a definite preoperative diagnosis. The main reason for not reaching a definitive malignant diagnosis was sampling error due to small tumours less than 1 cm in diameter, irrespective of tumour subtype.     

Modeling of exposure to mercury in different environmental media over a 30-year period: A case study of Shimen reservoir,northern Taiwan

Abstract

Mercury is affected by the movement mechanisms in the environmental media and is normally present in dry and wet depositions and surface and water vapor, among other things. The rapid growth of mercury-related industries in the past two decades reflects the result of its increased use in water sources such as in the Shimen reservoir, northern Taiwan. Consequently, residents living nearby are exposed to mercury almost every day. In light of the effects of continued exposure to the deleterious properties of mercury, this study provides modeling results of the atmosphere, soil, and freshwater over a 30-year period (2016–2046). The associated influences in the media and mercury contamination during this period will be determined via sensitivity analysis. Finally, the results of this study facilitate the assessment of potential health hazards associated with mercury inhalation and the ingestion of MeHg-contaminated fish. The mean daily dose (mg/kg) and hazard quotient (HQ) in the children and adult were 3.52E-13 (HQ = 4.10E-09) and 1.19E-13 (HQ = 1.39E-09) for Hg inhalation and 6.38E-05 (HQ = 6.38E-01) and 4.47E-05 (HQ = 4.47E-01) for ingestion of MeHg+-contaminated fish.     

Modeling vegetation greenness and its climate sensitivity with deep‐learning technology

Climate sensitivity of vegetation has long been explored using statistical or process‐based models. However, great uncertainties still remain due to the methodologies’ deficiency in capturing the complex interactions between climate and vegetation. Here, we developed global gridded climate–vegetation models based on long short‐term memory (LSTM) network, which is a powerful deep‐learning algorithm for long‐time series modeling, to achieve accurate vegetation monitoring and investigate the complex relationship between climate and vegetation. We selected the normalized difference vegetation index (NDVI) that represents vegetation greenness as model outputs. The climate data (monthly temperature and precipitation) were used as inputs. We trained the networks with data from 1982 to 2003, and the data from 2004 to 2015 were used to validate the models. Error analysis and sensitivity analysis were performed to assess the model errors and investigate the sensitivity of global vegetation to climate change. Results show that models based on deep learning are very effective in simulating and predicting the vegetation greenness dynamics. For models training, the root mean square error (RMSE) is <0.01. Model validation also assure the accuracy of our models. Furthermore, sensitivity analysis of models revealed a spatial pattern of global vegetation to climate, which provides us a new way to investigate the climate sensitivity of vegetation. Our study suggests that it is a good way to integrate deep‐learning method to monitor the vegetation change under global change. In the future, we can explore more complex climatic and ecological systems with deep learning and coupling with certain physical process to better understand the nature.     

Reply to Manger’s Commentary on “A quantitative test of the thermogenesis hypothesis of cetacean brain evolution,using phylogenetic comparative methods”

In his Commentary (Manger PR. 2009. Subglacial cetaceans and other mathematical mysteries: a Commentary on “A quantitative test of the thermogenesis hypothesis of cetacean brain evolution, using phylogenetic comparative methods” by C. Maximino. Mar Fresh Behav Physiol. 42: 359–362) on my paper (Maximino C. 2009. A quantitative test of the thermogenesis hypothesis of cetacean brain evolution, using phylogenetic comparative methods. Mar Freshwater Behav Physiol. 42:1–17), Dr Paul Manger noted four errors in the quantitative analysis of the relationship between cetacean encephalization quotients (EQs) and water temperatures, which I suggested was a test of his thermogenesis hypothesis (Manger PR. 2006 Manger, PR. 2006. An examination of cetacean brain structure with a novel hypothesis correlating thermogenesis to the evolution of a big brain. Biol Rev Camb Philos Soc, 81: 293–338.  [Google Scholar]. An examination of cetacean brain structure with a novel hypothesis correlating thermogenesis to the evolution of a big brain. Biol Rev Camb Philos Soc. 81:293–338). These referred to incorrect raw data on water temperatures for two species, odd use of midpoint temperatures as independent variable, lack of inclusion of data on Mysticeti and the use of a differently derived EQ and midpoints instead of the EQs proposed by Manger and temperature ranges; Dr Manger proposed that these errors invalidate the analysis, with special emphasis in an observation that, since my paper did not address the relationship between EQs and temperature range, it did not actually test the thermogenesis hypothesis. In this Reply, I apologize for the mistakes which were made, and show that re-analysis using all the proposed alterations do not qualitatively or quantitatively alter the final result. I also argue that the relationship between phylogenetically correct EQs and midpoint temperatures is a better test of the thermogenesis hypothesis than the relationship between non-phylogenetic EQs and temperature ranges.     

Surface EMG-force modelling for the biceps brachii and its experimental evaluation during isometric isotonic contractions

The aim of this study was to evaluate a surface electromyography (sEMG) signal and force model for the biceps brachii muscle during isotonic isometric contractions for an experimental set-up as well as for a simulation. The proposed model includes a new rate coding scheme and a new analytical formulation of the muscle force generation. The proposed rate coding scheme supposes varying minimum and peak firing frequencies according to motor unit (MU) type (I or II). Practically, the proposed analytical mechanogram allows us to tune the force contribution of each active MU according to its type and instantaneous firing rate. A subsequent sensitivity analysis using a Monte Carlo simulation allows deducing optimised input parameter ranges that guarantee a realistic behaviour of the proposed model according to two existing criteria and an additional one. In fact, this proposed new criterion evaluates the force generation efficiency according to neural intent. Experiments and simulations, at varying force levels and using the optimised parameter ranges, were performed to evaluate the proposed model. As a result, our study showed that the proposed sEMG–force modelling can emulate the biceps brachii behaviour during isotonic isometric contractions.     

Static magnetic field effect on microcirculation,direct versus baroreflex-mediated approach

We compared in conscious rabbits, sedated using pentobarbital intravenous (i.v.) infusion (5 mg kg^{? 1} h^{? 1}), the effect of a static magnetic field (SMF), generated by Nd₂–Fe₁₄–B magnets, on microcirculation during its 40 min local exposure to the microvascular network in cutaneous tissue [20 sham exposure and 20 SMF (0.25 T) exposure runs] or to sinocarotid baroreceptors [14 sham exposure and 14 SMF (0.35 T) exposure runs]. Mean femoral artery blood pressure (BP), heart rate (HR), arterial baroreflex sensitivity (BRS), assessed from HR and BP responses to i.v. bolus of nitroprusside and phenylephrine, and microcirculatory blood flow, using microphotoelectric plethysmography (MPPG), were simultaneously monitored. SMF significantly increased microcirculation on a 17.8% in microvascular and on a 23.3% in baroreceptor exposure series. In baroreceptor exposure series, SMF significantly decreased BP, increased heart rate variability, BRS and sodium nitroprusside (NO-donor) i.v. bolus microcirculatory vasodilatory effect. These suggest augmentation of the arterial baroreflex capacity support NO-dependent vasodilation, by increased sensitivity of vessels to NO, to be a new physiological mechanism of BP buffering and microcirculatory control. A significant positive correlation was also found between increase in BRS and in MPPG (r = 0.66, p < 0.009), indicating baroreflex participation in the regulation of the microcirculation and its enhancement after SMF exposure. Both direct and baroreflex-mediated approaches demonstrate SMF significant vasodilatory effect with potential clinical implication in macro- and microcirculatory disorders.     

Minimal Erythema Dose (MED) Testing

Ultraviolet radiation (UV) therapy is sometimes used as a treatment for various common skin conditions, including psoriasis, acne, and eczema. The dosage of UV light is prescribed according to an individual''s skin sensitivity. Thus, to establish the proper dosage of UV light to administer to a patient, the patient is sometimes screened to determine a minimal erythema dose (MED), which is the amount of UV radiation that will produce minimal erythema (sunburn or redness caused by engorgement of capillaries) of an individual''s skin within a few hours following exposure. This article describes how to conduct minimal erythema dose (MED) testing. There is currently no easy way to determine an appropriate UV dose for clinical or research purposes without conducting formal MED testing, requiring observation hours after testing, or informal trial and error testing with the risks of under- or over-dosing. However, some alternative methods are discussed.