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1.
Comput Biol Med ; 138: 104916, 2021 Oct 09.
Artigo em Inglês | MEDLINE | ID: mdl-34656867

RESUMO

Based on recent studies, immunotherapy led by immune checkpoint inhibitors has significantly improved the patient survival rate and effectively reduced the recurrence risk. However, immunotherapy has different therapeutic effects for different patients, leading to difficulties in predicting the treatment response. Conversely, delta-radiomic features, which measure the difference between pre- and post-treatment through quantitative image features, have proven to be promising descriptors for treatment outcome prediction. Consequently, we developed an effective model termed as the automated multi-objective delta-radiomics (Auto-MODR) model for the prediction of immunotherapy response in metastatic melanoma. In Auto-MODR, delta-radiomic features and traditional radiomic features were used as inputs. Furthermore, a novel automated multi-objective model was developed to obtain more reliable and balanced results between sensitivity and specificity. We conducted extensive comparisons with existing studies on treatment outcome prediction. Our method achieved an area under the curve (AUC) of 0.86 in a cross-validation study and an AUC of 0.73 in an independent study. Compared with the model using conventional radiomic features (pre- and post-treatment) only, better performance can be obtained when conventional radiomic and delta-radiomic features are combined. Furthermore, Auto-MODR outperformed the currently available radiomic strategies.

2.
Physiol Plant ; 2021 Sep 06.
Artigo em Inglês | MEDLINE | ID: mdl-34487361

RESUMO

Pot experiments were performed to study the effects of abscisic acid (ABA) and melatonin (MT) on cotton drought tolerance and to explore their combined effects. ABA or MT spraying promoted water status and antioxidant capacity of drought-stressed leaves, which was conducive to scavenge ROS, finally increasing lint yield. However, the mitigation mechanisms of ABA and MT on drought were not identical, which were mainly manifested as: (1) ABA increased the relative water content (RWC) of drought-stressed leaves via, reducing water loss, but MT increased it via, promoting water uptake efficiency; (2) for enzymatic antioxidant system, ABA and MT might modulate different kinds of superoxide dismutase to catalyze the reduction of O2 - under drought; and (3) for ascorbic acid (AsA)-glutathione (GSH) cycle, MT increased the glutathione reductase activity in drought-stressed leaves, but ABA did not. ABA + MT spraying led to higher leaf RWC and total antioxidant capacity than single hormone under drought, leading to a lower H2 O2 level. For the enzymatic antioxidant system, single hormone treatment affected Cu/ZnSOD or MnSOD expression, but ABA + MT upregulated both genes in drought-stressed leaves. Hormones combined application also had higher CAT expression than single hormone. For AsA-GSH cycle, ABA + MT had higher dehydroascorbic acid reductase activity than single hormone, resulting in higher AsA content. Moreover, hormones combined application caused higher ascorbate peroxidase activity than single hormone, suggesting that their combination synergistically improved the ability of AsA to eliminate ROS. All these confirmed that ABA plus MT had synergistic effects on improving crop drought resistance.

3.
Physiol Plant ; 2021 Aug 17.
Artigo em Inglês | MEDLINE | ID: mdl-34405415

RESUMO

Drought is a severe abiotic stress affecting the plant's antioxidant system and interrupting compatible solute translocation processes, which leads to low productivity. Melatonin acts as a common growth regulator enhancing the plants defense system and regulates sugar metabolism in challenging environments. Melatonin treatments enable plants to be tolerant to abiotic stresses via enhancing their recovery potential, but its impact using various concentrations has not yet been studied in leaf physiological aspects when applied to cotton foliage during their peak flowering and boll loading stage. The overall objective of this research was to facilitate cotton boll distribution characteristics by modifying cotton leaf sugar metabolism and antioxidant activity by applying foliar melatonin (0, 25, 50, and 100 µmol l-1 ) under drought levels with a relative soil water content of 75%, 60%, and 45% ± 5 (FC1, FC2, and FC3, respectively). Higher rates of melatonin application (100 µmol l-1 ) enhanced boll distribution characteristics and controlled the boll shedding rate during drought conditions. An increase in melatonin rates proved to be more helpful in stimulating cotton sympodial leaf physiological attributes, including leaf gas exchange parameters, sugar metabolism, proline content, and antioxidants defense system as compared with less or no melatonin application during all FC conditions and showed the most significant effect at a higher melatonin concentration (M100) at 7-21 DAF. The total proline content and antioxidant activity were enhanced in the M100 treatment during all FC levels, which caused a reduction in the total malondialdehyde (MDA) contents and hydrogen peroxide (H2 O2 ) concentrations in cotton leaves. Moreover, sugar metabolism responsible genes GhSusA and SPS2 showed an upsurge in expression levels and enhanced sucrose degradation in M100 treatments during all FC levels. Furthermore, cotton boll attributes showed also a positive relation with leaf physiological and gas exchange attributes. The results suggested that foliar melatonin application during the flowering initiation stage improved the overall performance and is helpful for cotton crops productivity against drought stress.

4.
ACS Appl Mater Interfaces ; 13(33): 39100-39111, 2021 Aug 25.
Artigo em Inglês | MEDLINE | ID: mdl-34382406

RESUMO

In this work, a nanoplatform (FeCORM NPs) loaded with an iron-carbonyl complex was constructed. By exploiting chemodynamic therapy (CDT) and immunogenic cell death (ICD)-induced immunotherapy (IMT), the nanoparticles exhibited excellent efficacy against lung metastasis of melanoma in vivo. The iron-carbonyl compound of the nanomaterials could be initiated by both glutathione (GSH) and hydrogen peroxide (H2O2) to release CO and generate ferrous iron through ligand exchange and oxidative destruction pathways. The released CO caused mitochondria damage, whereas the generated ferrous iron led to oxidative stress via the Fenton reaction. On the other hand, the nanomaterials induced ICD-based IMT, which worked jointly with CDT to exhibit excellent effects against lung metastasis of melanoma through a mouse model. This work demonstrated how a nanoplatform, simple and stable but showing excellent efficacy against tumors, could be built using simple building blocks via a self-assembling approach. Importantly, the system took advantage of relatively high levels of GSH and H2O2 in tumors to initiate the therapeutic effects, which rendered the nanoplatform with a capability to differentiate normal cells from tumor cells. In principle, the system has great potential for future clinical applications, not only in the treatment of lung metastasis of melanoma but also in suppressing other types of tumors.


Assuntos
Antineoplásicos/química , Monóxido de Carbono/química , Compostos de Ferro/química , Neoplasias Pulmonares/tratamento farmacológico , Melanoma/metabolismo , Nanopartículas Metálicas/química , Animais , Antineoplásicos/farmacocinética , Apoptose/efeitos dos fármacos , Monóxido de Carbono/farmacocinética , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Desenvolvimento de Medicamentos , Feminino , Glutationa/química , Humanos , Peróxido de Hidrogênio/química , Imunoterapia/métodos , Neoplasias Pulmonares/secundário , Camundongos , Camundongos Endogâmicos BALB C , Mitocôndrias/efeitos dos fármacos , Mitocôndrias/ultraestrutura , Neoplasias Experimentais , Oxirredução , Estresse Oxidativo/efeitos dos fármacos , Microambiente Tumoral/efeitos dos fármacos
5.
Leuk Lymphoma ; : 1-8, 2021 Jul 14.
Artigo em Inglês | MEDLINE | ID: mdl-34261418

RESUMO

The study aimed to retrospectively analyze the prognosis of patients with stage IE nasal extranodal natural killer/T-cell lymphoma (ENKTL) with dose reduction to clinical target volume (CTV) by using simultaneous integrated boost intensity-modulated radiotherapy (SIB-IMRT). Forty-four patients were reviewed retrospectively. The prescribed dose was 45 Gy/25 fractions for extended involved-field site and 50-55 Gy/25 fractions for primary tumor site by using SIB-IMRT. The 5-year overall survival (OS), local control (LC) and progression-free survival (PFS) were 81.2%, 93.0%, and 78.8%, respectively. The complete response (CR) rate was 85.4% (37/44). Three patients (6.8%) patients had local failure and 3 (6.8%) patients developed systemic failure. There was only one patient had grade 3 mucositis and 2 patients had grade 3 or grade 4 hematologic toxicities. For patients with stage IE nasal ENKTL, appropriate dose reduction to CTV by SIB-IMRT strategy is feasible and safe with a promising outcome.

6.
Clin Respir J ; 15(6): 691-698, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-33687803

RESUMO

INTRODUCTION: Sensitization to aeroallergens was linked to severe symptoms and frequent exacerbations in chronic obstructive pulmonary disease (COPD) patients. Elevated serum total immunoglobulin E (tIgE) level is a hallmark of allergic COPD patients. Phadiatop test exhibited high sensitivity for predicting specific aeroallergens (SAs) sensitization. However, the prevalence of aeroallergens, the value of Phadiatop test, alone or combined with tIgE, for predicting aeroallergens sensitization in male COPD patients have not been explored in China. OBJECTIVES: To explore the prevalence and predictors of aeroallergens in the context of COPD. METHODS: The predictive value of Phadiatop test for SAs sensitization in male COPD patients was analyzed via the area under receiver operating characteristic curves (AUCs). RESULTS: The top five SAs in the context of COPD were d2, mx2, i6, d1, and tx5, of which the seasonal distribution showed no significant differences. Allergic group showed higher levels of blood eosinophils, total Phadiatop IgE and tIgE than the nonallergic group (all P ≤ 0.001). The AUCs of total Phadiatop IgE and tIgE for predicting the sensitization to SAs, SAs excluding mx2 (AEM) and mx2 were ((0.921 vs. 0.879, P = 0.2522), (0.967 vs. 0.807, P = 0.0003), and (0.780 vs. 0.883, P < 0.05)) (AUCPhadiatop vs AUCtIgE ), respectively. The combined application of these two parameters (model) increased the AUC of SAs, significantly higher than the single parameter used (P < 0.05 for all). CONCLUSION: d2, mx2, i6, and d1 were the top four SAs sensitized in male COPD patients; Phadiatop test was valuable for predicting the sensitization to SAs when it was > 0.13 kAU/L.


Assuntos
Alérgenos , Doença Pulmonar Obstrutiva Crônica , China , Humanos , Masculino , Prevalência , Estudos Retrospectivos
7.
Int J Radiat Oncol Biol Phys ; 110(4): 1171-1179, 2021 07 15.
Artigo em Inglês | MEDLINE | ID: mdl-33561508

RESUMO

PURPOSE: Accurate lymph node (LN) malignancy classification is essential for treatment target identification in head and neck cancer (HNC) radiation therapy. Given the constraints imposed by relatively small sample sizes in real-world medical applications, to classify LN malignancy status accurately, we proposed an attention-guided classification (AGC) scheme that (1) incorporates human knowledge (ie, LN contours) into model training to guide model's "learning" direction, alleviating the critical requirement of large training samples by deep learning approaches; and (2) does not require accurate delineation of LNs in the inference stage but can highlight the discriminative region nearby the LN, which is important for malignancy determination. METHODS AND MATERIALS: In the proposed AGC scheme, there is an attention-guided convolutional neural network (agCNN) module, followed by a classification convolutional neural network (cCNN) module. The input of the proposed AGC scheme is a region of interest (ROI) containing the LN and its surrounding tissues. The agCNN is designed to find the discriminative region in the ROI, which outputs an activation map whose voxel values indicate the importance of the voxels in malignancy prediction. Through multiplying the activation map with the ROI, we obtain the input for the cCNN, which finally outputs the LN malignancy probability. To demonstrate the effectiveness of the proposed scheme, we performed experimental studies using positron emission tomography and contrast-enhanced computed tomography from 129 surgical HNC patients, including 791 LNs, with pathologic ground truth of malignancy status. To evaluate the performance, 5-folder cross validation was used. RESULTS: The sensitivity, specificity, accuracy, and area under the receiver operating characteristic (ROC) curve values obtained by the proposed AGC scheme were 0.91, 0.93, 0.92, and 0.98, respectively, significantly outperforming conventional convolutional neural network and radiomics approaches at a significance level of .05 under a paired ROC comparison statistical test. CONCLUSIONS: We developed an AGC scheme that can highlight the discriminative region in an image for LN malignancy prediction, outperforming a conventional radiomics method that requires accurate segmentation and a standard convolutional neural network model without involving segmentation.


Assuntos
Neoplasias de Cabeça e Pescoço/patologia , Redes Neurais de Computação , Humanos , Metástase Linfática , Curva ROC
8.
World J Surg Oncol ; 19(1): 64, 2021 Feb 26.
Artigo em Inglês | MEDLINE | ID: mdl-33637113

RESUMO

BACKGROUND: This paper aims to compare the efficacy and safety of recombinant human endostatin combined with chemotherapy in patients with squamous cell lung cancer (SqCLC). METHODS: We searched the Cochrane Library, PubMed, Embase, CNKI, Wanfang database, Metstr, VIP, and others and manually searched books and magazines until 2019 for articles about the efficacy and safety of recombinant human endostatin combined with chemotherapy in patients with SqCLC. A second search was conducted on the review literature. According to the criteria of the literature screen, the relevant randomized controlled trials (RCTs) and nonrandomized controlled trials (non-RCTs) of recombinant human endostatin combined with chemotherapy and chemotherapy alone in the treatment of SqCLC were included. After the data were extracted and analyzed, RevMan 5.3 software was used for meta-analysis for the outcome indicators. Then, heterogeneity tests and sensitivity analyses were carried out, and the publication bias of this study was tested in Stata 13.0 software. Six RCTs and eight non-RCTs were included. In total, 821 patients with SqCLC were included. RESULTS: The response rate (RR) was 2.12 (95% CI: 1.57-2.85, p < 0.00001). The disease control rate (DCR) was 2.38 (95% CI: 1.70-3.32, p < 0.00001). The difference between the two groups was statistically significant. Regarding safety, the incidence rates of the adverse reactions cardiotoxicity, leukopenia, thrombocytopenia, and gastrointestinal reactions were not significantly different between the two groups (OR = 1.70, 95% CI: 0.79-3.68; OR = 0.93, 95% CI: 0.61-1.42; OR = 1.08, 95% CI: 0.71-1.64; OR = 0.86, 95% CI: 0.56-1.30, respectively). CONCLUSION: The combined treatment had a better therapeutic effect than chemotherapy alone. It did not increase the incidence of adverse reactions in the course of treatment.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Carcinoma Pulmonar de Células não Pequenas/tratamento farmacológico , Endostatinas/uso terapêutico , Células Epiteliais , Humanos , Neoplasias Pulmonares/tratamento farmacológico , Prognóstico
9.
Eur Spine J ; 30(4): 1063-1071, 2021 04.
Artigo em Inglês | MEDLINE | ID: mdl-33475842

RESUMO

PURPOSE: Z-spectral MRI data were analyzed to produce multiparametric metabolic and microenvironmental contrasts for identifying intervertebral discs with/without pain symptom and sore pain. METHODS: Z-spectra data were collected from the lumbar discs of 26 patients with non-specific chronic low bck pain (CLBP) and 21 asymptomatic controls (AC) with a chemical exchange saturation transfer (CEST). Data were fitted to quantify the CEST effects from glycosaminoglycan, amide proton transfer (APT), nuclear Overhauser enhancement (NOE), semi-solid magnetization transfer contrast effects, and the direct saturation of water. Multiparametric maps were computed from the fitted peak amplitudes, and the average values were calculated from all five lumber discs. Those parameters were compared between the CLBP and AC groups and between the subgroups with and without (Nsore) sore pain. RESULTS: The discs in symptomatic patients have lower water content, collagen-bound water and collagen than the discs in AC (P < 0.05). Additionally, Z-sepctral MRI indicated that the discs in the sore subgroup had less water, collagen-bound water and collagen, and likely lower pH compared to the Nsore subgroup (P < 0.05). Lower pH as measured with reduced APT and NOE effects may be an important pathological factor causing sore pain of the back. CONCLUSION: Z-spectral MRI with its multiparametric metabolic and microenvironmental contrasts has been demonstrated to identify discs with and without pain symptom or sore pain, providing more important information of CLBP.


Assuntos
Disco Intervertebral , Dor Lombar , Imageamento por Ressonância Magnética Multiparamétrica , Humanos , Imageamento por Ressonância Magnética , Prótons
10.
J Diabetes Res ; 2021: 7830136, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33506052

RESUMO

Backgrounds: Diabetes mellitus (DM) is one of the most common comorbidities in patients with coronavirus disease (COVID-19). We aim to summarize the clinical features of DM patients with COVID-19 and find out potential factors associated with severe disease. Methods: In this retrospective, single-center study, the medical records of patients with COVID-19 in Changsha, Hunan, China, from January 21, 2020, to February 19, 2020, were reviewed. Epidemiological information, clinical features, and outcomes were compared between DM patients admitted to the intensive care unit (ICU) or not. Results: A total of 241 patients confirmed with COVID-19 were enrolled, including 19 DM patients. There were more patients in DM group admitted to the ICU than non-DM group (36.8% vs. 15.8%, P = 0.045). Compared with non-DM group in the ICU, there were more female patients from DM group in the ICU (85.7% vs. 31.4%, P = 0.024). On admission, the mean level of glycated hemoglobin A1c (HbA1c) was higher in the ICU DM patients than that in the non-ICU DM patients (8.5% vs. 7.1%). There were more DM patients with proteinuria in the ICU group than the non-ICU group (57.1% vs. 33.3%). Twelve DM patients (63.2%) changed diabetic therapy during hospitalization, and all DM patients admitted to the ICU used insulin. As of March 14, all 19 DM patients have been discharged, and no death occurred. Conclusions: DM patients with COVID-19 are vulnerable to severe disease, especially for female patients. High levels of HbA1c and proteinuria could be potential risk factors for severe COVID-19 in DM patients. In addition to timely systemic therapy, the control of blood glucose and proper diabetic therapy is essential to improve the prognosis of severe DM patients with COVID-19.


Assuntos
COVID-19/complicações , COVID-19/epidemiologia , Complicações do Diabetes/epidemiologia , Diabetes Mellitus/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Glicemia/análise , Criança , Pré-Escolar , China , Cuidados Críticos , Feminino , Hemoglobina A Glicada/análise , Hospitalização , Humanos , Lactente , Unidades de Terapia Intensiva , Masculino , Registros Médicos , Pessoa de Meia-Idade , Proteinúria , Estudos Retrospectivos , Resultado do Tratamento , Adulto Jovem
12.
Physiol Plant ; 171(1): 108-124, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32951218

RESUMO

Soil waterlogging and high-temperature events have occurred simultaneously in recent years in the Yangtze River basin cotton belt region of China, negatively affecting the development and quality of cottonseed. This study investigated the effects of the combination of elevated temperature (ET) (34.1/29.0°C) and waterlogging (3 or 6 days) on the accumulation and distribution of oil, protein and carbohydrates in cottonseed during flowering and boll development. The results showed that ET resulted in greater decreases in cottonseed biomass under waterlogging than under control conditions. The combination of waterlogging and ET significantly limited the accumulation of carbohydrates and oil contents. However, ET promoted protein accumulation and compensated for the negative effects of 3-day waterlogging on the final protein content. The combined ET and 6-day waterlogging significantly decreased the final contents of oil and protein by limiting carbon flux and NADPH supply because of the decreased activities of phosphoenolpyruvate carboxylase (PEPC, EC 4.1.1.31) and glucose-6-phosphate dehydrogenase (G6PDH, EC 1.1.1.49). The PEPC activity was correlated more with protein content than oil content. In addition, simultaneous exposure to waterlogging and ET resulted in lower unsaturated fatty acid/saturated fatty acid ratios and essential amino acid/non-essential amino acid ratios than did exposure to the individual factors alone. These findings could provide the theoretical support for the prospective assessment of effects of high temperature and waterlogging stresses on cotton production under climate change, and they can help to develop effective techniques in cotton cultivation.


Assuntos
Óleo de Sementes de Algodão , Folhas de Planta , China , Estudos Prospectivos , Temperatura
13.
Technol Cancer Res Treat ; 19: 1533033820983804, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33357081

RESUMO

PURPOSE: Quantitative features from pre-treatment positron emission tomography (PET) have been used to predict treatment outcomes for patients with cervical carcinoma. The purpose of this study is to use quantitative PET imaging features and clinical parameters to construct a multi-objective machine learning predictive model. MATERIALS/METHODS: Seventy-five patients with stage IB2-IVA disease treated at our institution from 2009-2012 were analyzed. Models predicting locoregional and distant failure were generated using clinical parameters (age, race, stage, histology, tumor size, nodal status) and imaging features (12 textural, 9 intensity, 8 geometric features, 2 additional imaging features) from pre-treatment PET. Model features were selected based on a multi-objective evolutionary algorithm to maximize specificity given a fixed moderately high sensitivity using support vector machine learning methods. Model 1 used clinical parameters only (C), Model 2 used imaging features only (I), and Model 3 used clinical and imaging features (C+I). Sensitivity, specificity, area under a receiver-operating characteristic curve (AUC), and p-values were compared to assess ability to predict locoregional and distant failure. RESULTS: C+I had the highest performance for both locoregional failure (AUC 0.84, p < 0.01; specificity: 0.86; sensitivity: 0.79) and distant failure (AUC 0.75, p < 0.01; specificity: 0.75; sensitivity: 0.75). CONCLUSIONS: Based on a moderately high fixed sensitivity and optimized for specificity, the model using both clinical parameters and imaging features (C+I) had the best performance in predicting both locoregional failure and distant failure.

14.
Infect Drug Resist ; 13: 3907-3918, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33154656

RESUMO

Purpose: To summarize the clinical features and effective therapy of severe COVID-19 patients. Patients and Methods: In this retrospective, multicenter study, the medical records of COVID-19 patients in Hunan, from January 21, 2020 to February 19, 2020 were reviewed. Results: Of the 350 COVID-19 patients, 13.7% were severe cases. On admission, compared with non-severe patients, more severe patients had a neutrophil/lymphocyte ratio > 3 (58.3% vs 33.8%, P=0.001), D-dimer > 1 mg/L (41.7% vs 13.6%, P<0.0001), higher level of CRP (39.1 mg/L, IQR18.1-75.9 vs 13.4 mg/L, IQR5.0-32.8, P<0.0001), and multiple pneumonia on CT (77.1% vs 18.2%, P<0.0001). All severe patients received oxygen support. 95.8% of them received antivirals, and the most frequent therapy was lopinavir and ritonavir plus human interferon-α2b. Moxifloxacin was used in 70.8% severe patients. The total dosage of methylprednisolone sodium succinate was 640 mg (IQR 360-960) in severe patients, and the duration of use was 8.5 days (IQR 6.8-11.3). The total dosage of immunoglobulin was 80 g (IQR, 60-140) in severe patients, and the duration was 8.0 days (IQR, 6.0-11.5). As of March 15, 2020, 95.8% of the severe patients had been discharged and only two deaths occurred. Conclusion: The rate of severe cases and mortality of COVID-19 in Hunan are lower than those in Wuhan. In addition to antivirals and oxygen support, timely interventions including corticosteroids, immunoglobulin, and antibiotics, contribute to improving the prognosis of severe COVID-19 patients.

15.
Ann Transl Med ; 8(18): 1140, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-33240989

RESUMO

Background: To evaluate the impact of radiation dose escalation on overall survival (OS) in patients with non-metastatic esophageal squamous cell carcinoma (ESCC) treated with radical radiotherapy. Methods: The clinical data of ESCC patients treated with three-dimensional (3D) radiotherapy alone or chemoradiotherapy were collected from multiple institutes and retrospectively analyzed. Patients who received radiation dose ≥40 Gy were included. Radiation dose as a continuous variable was entered into the Cox regression model by using penalized spline regression to allow for a nonlinear relationship between radiation dose and OS to be identified. Patients were stratified into five groups according to EQD2. The Kaplan-Meier method was used to assess the OS in different dose groups. Univariate and multivariate analyses were performed to evaluate the factors associated with OS. Results: A total of 2,469 patients were included from 10 institutes across China. The median follow-up time was 58.3 months [95% confidence interval (CI): 56.4-60.2 months]. The median OS and PFS time were 24.3 months (95% CI: 22.5-26.2 months) and 18.0 months (95% CI: 16.4-19.6 months), respectively. The risk of death decreased sharply with a dose up to 60 to 62 Gy, before increasing slightly after the dose was elevated beyond 62 Gy. Multivariate analysis indicated that the chance of death was significantly decreased in patients who received radiotherapy doses of 60-62 Gy [P=0.028, hazard ratio (HR) 0.85, 95% CI: 0.73-0.98)], compared with those who received radiotherapy doses of 40-60 Gy. Conclusions: Our results reveal radiation dose is a significant prognostic factor of survival for ESCC patients. Higher radiation dose contributes to much more favorable survival outcomes for ESCC patients receiving radical radiotherapy by modern techniques, and 60 Gy or above might be the most optimal radiation dose.

17.
BMC Infect Dis ; 20(1): 824, 2020 Nov 11.
Artigo em Inglês | MEDLINE | ID: mdl-33176693

RESUMO

BACKGROUND: In December 2019, the novel coronavirus disease 2019 (COVID-19) emerged in Wuhan, Hubei Province, China. It rapidly spread and many cases were identified in multiple countries, posing a global health problem. Here, we report the first patient cured of COVID-19 infection in Changsha, China, and the symptoms, diagnosis, treatment, and management of this patient are all described in this report. CASE PRESENTATION: A 57-year-old woman developed cough and fever after returning to Changsha from Wuhan on January 9, 2020. She tested positive for COVID-19 infection, a diagnosis which was supported by chest CT. The patient was treated with lopinavir and ritonavir tablets and interferon alfa-2b injection. A low dose of glucocorticoids was used for a short period to control bilateral lung immune response, and this patient avoided being crushed by cytokine storms that might have occurred. The clinical condition of this patient improved, and a COVID-19 assay conducted on January 25, 2020 generated negative results. This patient recovered and was discharged on January 30, 2020. CONCLUSIONS: Currently, there are numerous reports on COVID-19 infections focusing on the disease's epidemiological and clinical characteristics. This case describes the symptoms, diagnosis, treatment, and management of a patient cured of COVID-19 infection, which may serve as reference for future cases, while further studies are needed.


Assuntos
Betacoronavirus/genética , Infecções por Coronavirus/tratamento farmacológico , Glucocorticoides/uso terapêutico , Inibidores da Protease de HIV/uso terapêutico , Interferon alfa-2/uso terapêutico , Lopinavir/uso terapêutico , Pneumonia Viral/tratamento farmacológico , Ritonavir/uso terapêutico , COVID-19 , China , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/fisiopatologia , Infecções por Coronavirus/virologia , Tosse , Feminino , Febre , Humanos , Pulmão/diagnóstico por imagem , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/diagnóstico , Pneumonia Viral/fisiopatologia , Pneumonia Viral/virologia , Reação em Cadeia da Polimerase em Tempo Real , Reação em Cadeia da Polimerase Via Transcriptase Reversa , SARS-CoV-2 , Tomografia Computadorizada por Raios X , Resultado do Tratamento
18.
PLoS One ; 15(11): e0241659, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33206680

RESUMO

The outbreak of SARS-CoV-2 began in December 2019 and rapidly became a pandemic. The present study investigated the significance of lymphopenia on disease severity. A total of 115 patients with confirmed COVID-19 from a tertiary hospital in Changsha, China, were enrolled. Clinical, laboratory, treatment and outcome data were gathered and compared between patients with and without lymphopenia. The median age was 42 years (1-75). Fifty-four patients (47.0%) of the 115 patients had lymphopenia on admission. More patients in the lymphopenia group had hypertension (30.8% vs. 10.0%, P = 0.006) and coronary heart disease (3.6% vs. 0%, P = 0.029) than in the nonlymphopenia group, and more patients with leukopenia (48.1% vs 14.8%, P<0.001) and eosinopenia (92.6% vs 54.1%, P<0.001) were observed. Lymphopenia was also correlated with severity grades of pneumonia (P<0.001) and C-reactive protein (CRP) level (P = 0.0014). Lymphopenia was associated with a prolonged duration of hospitalization (17.0 days vs. 14.0 days, P = 0.002). Lymphocyte recovery appeared the earliest, prior to CRP and chest radiographs, in severe cases, which suggests its predictive value for disease improvement. Our results demonstrated the clinical significance of lymphopenia for predicting the severity of and recovery from COVID-19, which emphasizes the need to dynamically monitor lymphocyte count.


Assuntos
COVID-19/complicações , COVID-19/diagnóstico , Linfopenia/complicações , Índice de Gravidade de Doença , Adulto , Idoso , COVID-19/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Prognóstico , Estudos Retrospectivos , Adulto Jovem
19.
Curr Pharm Des ; 2020 11 12.
Artigo em Inglês | MEDLINE | ID: mdl-33183190

RESUMO

Protein palmitoylation is a fundamental and reversible post-translational lipid modification that involves a series of biological processes. Although a large number of experimental studies have explored the molecular mechanism behind the palmitoylation process, the computational methods has attracted much attention for its good performance in predicting palmitoylation sites compared with expensive and time-consuming biochemical experiments. The prediction of protein palmitoylation sites is helpful to reveal its biological mechanism. Therefore, the research on the application of machine learning methods to predict palmitoylation sites has become a hot topic in bioinformatics and promoted the development in related fields. In this review, we briefly introduced the recent development in predicting protein palmitoylation sites by using machine learning-based methods and discussed their benefits and drawbacks. The perspective of machine learning-based methods in predicting palmitoylation sites was also provided. We hope the review could provide a guide in related fields.

20.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 5428-5431, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33019208

RESUMO

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based segmentation. However, the prediction of drug effectiveness based on deep learning has fewer studies. Choroidal neovascularization (CNV) and cystoid macular edema (CME) are the diseases often leading to a sudden onset but progressive decline in central vision. And the curative treatment using anti-vascular endothelial growth factor (anti-VEGF) may not be effective for some patients. Therefore, the prediction of the effectiveness of anti-VEGF for patients is important. With the development of Convolutional Neural Networks (CNNs) coupled with transfer learning, medical image classifications have achieved great success. We used a method based on transfer learning to automatically predict the effectiveness of anti-VEGF by Optical Coherence tomography (OCT) images before giving medication. The method consists of image preprocessing, data augmentation and CNN-based transfer learning, the prediction AUC can be over 0.8. We also made a comparison study of using lesion region images and full OCT images on this task. Experiments shows that using the full OCT images can obtain better performance. Different deep neural networks such as AlexNet, VGG-16, GooLeNet and ResNet-50 were compared, and the modified ResNet-50 is more suitable for predicting the effectiveness of anti-VEGF.Clinical Relevance - This prediction model can give an estimation of whether anti-VEGF is effective for patients with CNV or CME, which can help ophthalmologists make treatment plan.


Assuntos
Aprendizado Profundo , Tomografia de Coerência Óptica , Algoritmos , Bevacizumab , Humanos , Redes Neurais de Computação
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