Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.

PURPOSE: To investigate the performance of an artificial intelligence (AI) algorithm for assessing the malignancy and invasiveness of pulmonary nodules in a multicenter cohort. METHODS: A previously developed deep learning system based on a 3D convolutional neural network was used to predict tumor malignancy and invasiveness. Dataset of pulmonary nodules no more than 3 cm was integrated with CT images and pathologic information. Receiver operating characteristic curve analysis was used to evaluate the performance of the system. RESULTS: A total of 466 resected pulmonary nodules were included in this study. The areas under the curves (AUCs) of the deep learning system in the prediction of malignancy as compared with pathological reports were 0.80, 0.80, and 0.75 for all, subcentimeter, and solid nodules, respectively. Additionally, the AUC in the AI-assisted prediction of invasive adenocarcinoma (IA) among subsolid lesions (n = 184) was 0.88. Most malignancies that were misdiagnosed by the AI system as benign diseases with a diameter measuring greater than 1 cm (26/250, 10.4%) presented as solid nodules (19/26, 73.1%) on CT. In an exploratory analysis involving nodules underwent intraoperative pathologic examination, the concordance rate in identifying IA between the AI model and frozen section examination was 0.69, with a sensitivity of 0.50 and specificity of 0.97. CONCLUSION: The deep learning system can discriminate malignant diseases for pulmonary nodules measuring no more than 3 cm. The AI model has a high positive predictive value for invasive adenocarcinoma with respect to intraoperative frozen section examination, which might help determine the individualized surgical strategy.

3D printed miniature atomic emission detector coupling with gas chromatography: A sensitive and cost-effective strategy for the determination of volatile methylsiloxanes in municipal sewage.

The determination of volatile methylsiloxanes (VMSs) in municipal sewage has attracted great attention. Gas chromatography-mass spectrometry (GC-MS) is the most mature detection technique for VMSs, however, its instrumentation and operation cost are unfavorable in low- and middle-income countries. Herein, a novel and cost-effective strategy by using a 3D printed miniature microplasma optical emission detector (µAED) as an alternative to MS detector, was developed to detect VMSs in municipal sewage by GC after preconcentration by a laboratory-built automatic purge and trap (P&T) system. Two types of µAEDs have been fabricated and their analytical performances were compared. The one using two tungsten rods as electrodes shows better performance and was thus selected as the detecting system for real sample analysis. Under the optimized conditions, the P&T-GC-µAED system provided limits of detection of 3.6 ng L-1 to 15.5 ng L-1 of Si for tested VMSs. Relative standard deviations were better than 3.0% and good recoveries ranging from 82.4% to 102.8% were obtained for all analytes. The applicability of this system was demonstrated via the measurement of VMSs in the influents and effluents from 10 wastewater treatment plants (WWTPs) in Chengdu, China.

Highly sensitive fluorescent quantification of acid phosphatase activity and its inhibitor pesticide Dufulin by a functional metal-organic framework nanosensor for environment assessment and food safety.

Developing a rapid and accurate strategy of sensing Dufulin is a vital challenge for risk assessment and food crops along with its spreading usage. Herein a dye-encapsulated azoterephthalate metal-organic framework (MOF)-based fluorescent sensing system was designed for Dufulin analysis by acid phosphatase (ACP) enzyme-controlled collapse of MOF framework and subsequent release of the encapsulated dye. The fluorescence intensity of the DMOF/AAP/ACP system was negatively related to the dosage of Dufulin (0-5 µg mL-1) with detection limit of 2.96 ng mL-1. The sensing system able to rapidly and sensitively sense the activity of ACP and Dufulin, and was also applicable for assessment of the real samples including paddy water and soil, polished rice and cucumber. Accordingly, this study illustrated the feasibility and the potential of MOF-derived nanosensors for improving pesticide analysis and opening up the design of the enzyme-based probes for pesticide sensing in environmental assessment and food safety.

Efficient and Economical Targeted Insertion in Plant Genomes via Protoplast Regeneration.

Versatile genome editing can be facilitated by the insertion of DNA sequences into specific locations. Current protocols involving CRISPR and Cas proteins rely on low efficiency homology-directed repair or non-homologous end joining with modified double-stranded DNA oligonucleotides as donors. Our simple protocol eliminates the need for expensive equipment, chemical and enzymatic donor DNA modification, or plasmid construction by using polyethylene glycol-calcium to deliver non-modified single-stranded DNA oligonucleotides and CRISPR-Cas9 ribonucleoprotein into protoplasts. Plants regenerated via edited protoplasts achieved targeted insertion frequencies of up to 50% in Nicotiana benthamiana and 13.6% in rapid cycling Brassica oleracea without antibiotic selection. Using a 60 nt donor containing 27 nt in each homologous arm, 6/22 regenerated N. benthamiana plants showed targeted insertions, and one contained a precise insertion of a 6 bp HindIII site. The inserted sequences were transmitted to the next generation and invite the possibility of future exploration of versatile genome editing by targeted DNA insertion in plants.

Risk assessment of potentially toxic elements accumulated in fish to Indo-Pacific humpback dolphins in the South China Sea.

Indo-Pacific humpback dolphins (Sousa chinensis) reside in shallow coastal waters where they are exposed to potentially toxic elements (PTEs) through dietary intake. We quantitatively assessed the risk posed by eight PTEs to the health of S. chinensis by determining their concentration in 13 fish species. The fish species represented the primary prey of S. chinensis in the South China Sea. Zn and Mn were the most dominant elements in fish at all sampling locations with concentrations ranges of 19.93-67.63 mg kg -1 dry weight (dw) and 1.52-68.2 mg kg -1 dw, respectively. The highest Zn concentration in fish was found in Coilia mystus (72.65 mg kg-1 dw) followed by Liza carinatus (62.57 mg kg-1 dw). At Jiangmen, Zn concentration was significantly lower in benthopelagic fish than in pelagic fish (p < 0.05, one-way ANOVA), while no significant difference was observed in other metals. The health risk posed by dietary intake assessed using the toxicity reference value showed that PTEs did not significant health risk to S. chinensis. In contrast, the risk quotient (RQ) based on reference doses ranged from 2.17 to 54.63 in prey fish that were contaminated with Zn and Cr indicating a potential health risk to S. chinensis in the South China Sea. The number of PTEs that posed a health risk varied between sites with seven out of eight PTEs above threshold at Jiangmen and six out of eight at Zhanjiang and Qinzhou. This study showed fish niche and location may influence the health risk posed by consumption of PTE-contaminated fish.

Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer.

Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract.

A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids.

The massively accelerated biodiversity loss rate in the Anthropocene calls for an efficient and effective way to identify the spatial and temporal dynamics of endangered species. To this end, we developed a useful identification framework based on a case study of locally endangered Sousa chinensis by combining both LEK (local ecological knowledge) evaluation and regional boat-based survey methods. Our study investigated the basic ecological information of Sousa chinensis in the estuaries of eastern Guangdong that had previously been neglected, which could guide the future study and conservation. Based on the statistical testing of reported spatial and temporal dolphins sighting data from fishermen and the ecological monitoring analyses, including sighting rate, site fidelity and residence time estimations, some of the current Sousa chinensis units are likely to be geographically isolated and critically endangered, which calls for much greater conservation efforts. Given the accelerated population extinction rate and increasing budgetary constraints, our survey pattern can be applied in a timely and economically acceptable manner to the spatial and temporal assessment of other threatened coastal delphinids, particularly when population distributions are on a large scale and traditional sampling methods are difficult to implement.

Highly sensitive rare cell detection based on quantum dot probe fluorescence analysis.

This study presents an efficient and sensitive method for detecting rare cells without cell culture, in which cells are analyzed quantitatively using quantum dots (QDs) as a fluorescent probe. By the conjugation of QDs with cells, the biotin-streptavidin reaction functions as a bridge to connect QDs and cells. The cells can be quantified based on the correlation of the QD fluorescence intensity with the cell population. Non-specific adsorption and cross-reaction of QD625-streptavidin on T cell membrane are neglected by reacting with biotin anti-human CD3 and mixing with red blood cell, respectively. Additionally, the photo-activation period and pH can be controlled to enhance the fluorescence of cell populations, which increases linearly with the number of T cells from 40 to 100,000, not only in a single T cell line but also in mixing with a total of 10(6) red blood cells. Moreover, the specific T cells can be detected in less than 15 min, even though rare specific cells may number only 40 cells. Among the advantages, the proposed system for detecting rare cells include simplicity of preparation, low cost, rapid detection, and high sensitivity, all of which can facilitate the detection of circulating tumor cells in early stages of diagnosis or prognosis.

The assessment of fluid status in haemodialysis patients: usefulness of the Doppler echocardiographic parameters.

BACKGROUND: In end-stage renal disease (ESRD) patients undergoing regular haemodialysis (HD), the maintenance of fluid status within an optimal range is critical. We therefore examined the role of Doppler echocardiographic parameters in the assessment of fluid status in these patients. METHODS: Three study groups were enrolled: 40 healthy volunteers (NTNR), 40 HD patients who were normotensive without receiving antihypertensive agents (NTHD) and 38 HD patients who had remained hypertensive (HTHD) despite antihypertensive treatment. Measurements of Doppler echocardiographic parameters from pulmonary vein (PV) and mitral inflow (Mi) were performed on a non-dialysis day. Extracellular water as a percentage of body weight (ECW%) and pre-dialysis mean blood pressure (BDMBP) were references for fluid status. The best Doppler parameter for fluid status assessment identified from the study groups was then tested in another validation groups (38 NTHD and 38 HTHD). RESULTS: Among all of the PV and Mi parameters, the S/D ratio (peak systolic velocity divided by peak diastolic velocity) was correlated with fluid status parameters best (with ECW%, r = -0.49, P<0.001; with BDMBP, r = -0.51, P<0.001). The correlations were independent of age, sex and Mi parameters. The receiver operating characteristics curve analysis demonstrated that an S/D ratio >1.33 had a sensitivity of 90% and a specificity of 77% in identifying NTHD patients. When the same criterion was applied to the validation groups, the positive predictive value was 64% and the negative predictive value was 86%. CONCLUSION: The Doppler-derived S/D ratio is a potentially useful marker for the assessment of fluid status in HD patients.

Impact of left ventricular function on the pulmonary vein Doppler spectrum: nonsimultaneous assessment with load-insensitive indices.

Pulmonary vein Doppler spectrum is highly load-dependent and thus has been used to estimate left ventricular (LV) filling pressure. However, the impact of LV function on pulmonary vein Doppler spectrum remains obscure because only load-sensitive indices were studied previously. In the present study, measurements of the pulmonary vein Doppler spectrum were correlated with load-insensitive LV systolic (end-systolic elastance [Ees]) and diastolic (relaxation time constant [tau] and beta coefficient of the end-diastolic pressure volume relationship) function indices obtained from an invasive catheterization study nonsimultaneously. The peak velocity, velocity time integral, and duration of systolic forward spectrum were significantly correlated with Ees (r = 0.35, r = 0.36, and r = 0.41, respectively;P < 0.05). The pulmonary vein diastolic velocity time integral (PVDVTI) and duration of the diastolic forward spectrum were significantly correlated with Ees (r = 0.51 and r = 0.57, respectively;P < 0.01). PVDVTI was correlated with tau and the end-diastolic pressure-volume relationship (EDPVR) (r = 0.42 and r = 0.40 respectively,P < 0.05). On the other hand, the systolic fraction of the forward spectrum was significantly correlated with ejection fraction (for peak velocity,r = 0.63, P < 0.01; for velocity time integral,r = 0.37, P < 0.05) but not with Ees, and the diastolic fraction of the forward spectrum was significantly correlated with minimum pressure derivative over time (for peak velocity,r = 0.48, P < 0.05; for velocity time integral,r = 0.44, P < 0.05, respectively) but not with tau or EDPVR. In summary, the systolic and diastolic components of the pulmonary vein Doppler spectrum are affected variably by LV systolic and diastolic function, independent of the loading condition. The systolic and diastolic fraction of pulmonary vein Doppler spectrum appears to depend more on the loading condition than the LV systolic or diastolic function.