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1.
Medicine (Baltimore) ; 99(5): e18939, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32000411

RESUMO

RATIONALE: Diagnosing and treating refractory cancer pain have become standardized and effective procedures with guidance from the Expert Consensus on Refractory Cancer Pain released in 2017 by the Committee of Rehabilitation and Palliative Care of China. Doxorubicin has been used for perineural injection in the treatment of chronic non-cancer pain owing to its retrograde sensory ganglion resection effect. Our study reports a new fourth-ladder treatment for cancer pain: CT-guided paravertebral doxorubicin injection for patients with refractory cancer pain caused by paraspinal metastasis. PATIENT CONCERNS: A 48-year-old female and a 47-year-old male patients suffered from refractory cancer pain over the past months. They had both undergone surgical tumor resection, chemotherapy, and precision radiotherapy but result in limited analgesic effect. The daily oral morphine dosage was around 60 to 100 mg and rescue analgesic methods had been used at the time. DIAGNOSES: Refractory cancer pain in 2 patients with renal cancer and hepatobiliary adenocarcinoma. INTERVENTIONS: The patients both received computed tomography (CT)-guided 1 mL of 0.5% doxorubicin paravertebral injection at each affected nerve root segments. OUTCOMES: The Visual Analog Scale and Douleur Neuropathique four Questions were used for 6-month follow-up, and the analgesic requirement was also recorded. The patients enjoyed satisfactory analgesia for up to 6 months without adverse reaction. In addition, the oral opioid analgesic doses were significantly reduced after the neurolytic block. LESSONS: The CT-guided paravertebral doxorubicin injection was an effective fourth-step analgesic interventional technology that allowed our 2 patients with refractory cancer pain to maintain satisfactory analgesia. This analgesia method taken at an appropriate stage, according to the latest analgesic concept, results in good analgesia and opioid use reduction. Also, with the imaging guidance, only a small amount of neurolytic agent is needed to achieve analgesia in a precise and safe way.


Assuntos
Analgésicos/administração & dosagem , Dor do Câncer/tratamento farmacológico , Doxorrubicina/administração & dosagem , Dor Intratável/tratamento farmacológico , Neoplasias da Coluna Vertebral/secundário , Tomografia Computadorizada por Raios X , Dor do Câncer/diagnóstico por imagem , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Manejo da Dor/métodos , Dor Intratável/diagnóstico por imagem , Neoplasias da Coluna Vertebral/complicações , Neoplasias da Coluna Vertebral/diagnóstico por imagem , Neoplasias da Coluna Vertebral/tratamento farmacológico
2.
Sci Rep ; 10(1): 1817, 2020 Feb 04.
Artigo em Inglês | MEDLINE | ID: mdl-32019948

RESUMO

Mesenchymal stem cells (MSCs) specifically differentiate into cardiomyocytes as a potential way to reverse myocardial injury diseases, and uncovering this differentiation mechanism is immensely important. We have previously shown that histone acetylation/methylation and DNA methylation are involved in MSC differentiation into cardiomyocytes induced by islet-1. These modifications regulate cardiac-specific genes by interacting with each other in the promoter regions of these genes, but the molecular mechanism of these interactions remains unknown. In this study, we found that the key enzymes that regulate GATA4/Nkx2.5 expression are Gcn5/HDAC1, G9A, and DNMT-1. When α-methylene-γ-butyrolactone 3 (MB-3) was used to inhibit Gcn5 expression, we observed that the interactions among these key enzymes in the GATA4/Nkx2.5 promoters were blocked, and MSCs could not be induced into cardiomyocytes. Our results indicated that islet-1 could induce Gcn5 binding to GATA4/Nkx2.5 promoter regions and induce the interactions among Gcn5, HDAC1, G9A and DNMT-1, which upregulated GATA4/Nkx2.5 expression and promoted MSC differentiation into cardiomyocytes.

3.
Surg Endosc ; 2020 Feb 04.
Artigo em Inglês | MEDLINE | ID: mdl-32020287

RESUMO

BACKGROUND: Hepatectomy is a definitive treatment for hepatolithiasis because it simultaneously removes intrahepatic duct (IHD) stones and biliary tract strictures together with the involved liver region en bloc. Unlike cystic or solid liver tumors, hepatolithiasis is usually associated with alterations of anatomical structures and perihepatic adhesions because of chronic recurrent inflammation. This complicates identification of the target hepatic region and location of biliary strictures. METHODS: To determine the efficacy of near-infrared fluorescence (NIRF) imaging using indocyanine green (ICG), we performed a comparative trial and developed a white-light and near-infrared dual-channel image-guided device (DPM-I) for both open and endoscopic surgery. Forty-four eligible patients were randomly assigned to Group A (NIRF imaging) or Group B (traditional hepatectomy). We injected ICG via peripheral veins for patients in Group A. RESULTS: The NIRF imaging method was associated with less blood loss (OR 1.004, 95% CI 0.999-1.010; P = 0.016), briefer hospitalization (OR 1.336, 95% CI 1.016-1.756; P = 0.001), lower rates of margins with dilated bile ducts (OR 1.278, 95% CI 1.030-1.585; P = 0.023), lower postoperative white blood cell counts (OR 1.262, 95% CI 0.931-1.712; P = 0.038), lower procalcitonin levels (OR 1.316, 95% CI 1.020-1.513; P = 0.002), and lower alanine aminotransferase levels (OR 1.013, 95% CI 1.003-1.023; P = 0.002) compared with traditional hepatectomy. CONCLUSIONS: These data demonstrate the efficacy of NIRF imaging with ICG using DPM-I for treating hepatolithiasis.

4.
Lab Chip ; 2020 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-32022068

RESUMO

The recent boom of nanomaterials printing in the fields of biomedical engineering, bioanalysis and flexible electronics has greatly stimulated researchers' interest in printing technologies. However, specifically formulated nanomaterial inks have limited the types of printable nanomaterials. Here, a unique non-powered capillary force-driven stamped (CFDS) approach, combining a 3D-printed stamper with a paper substrate, is developed for directly printing patterned nanomaterials aqueous solution. The CFDS approach has two processes, including the loading process in which the capillary force of the stamper channel is stronger than gravity, and the deposition process, in which the synergistic action of the capillary force of the paper fibre tubes and gravity is approximately 20 times the capillary force of the stamper channel. Four additive-free nanomaterial aqueous solutions, including nanowires, nanosheets, nanostars and nanogels, are used to print patterns, and show slight diffusion and desired uniformity with a diffusion rate and roundness of 1.12 and 0.78, respectively, demonstrating the feasibility of this approach. Four kinds of nanogel with different fluorescence labels are simultaneously printed to challenge the approach and demonstrate its flexibility and scalability. The resolution of the approach is 0.3 mm. Without any post-processing, the stamped paper substrates directly serve as paper-based surface enhanced Raman scattering substrates with an enhancement factor of 4 × 106 and as electrodes with a resistance of 0.74 Ω, demonstrating their multi-functionality. Due to its general, flexible and scalable applicability, this simple, low-cost and non-powered approach could be widely applied to the personalized printing of nanomaterials on paper substrates.

5.
Eur J Radiol ; 125: 108825, 2020 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-32035324

RESUMO

PURPOSE: To determine if texture features of diffusion weighted imaging (DWI) on MRI of metastatic gastrointestinal stromal tumor (mGIST) have correlation with overall survival (OS). METHOD: Fifty-one GIST patients with metastatic lesions who received imatinib targeted therapy were included. Texture features of the largest metastatic lesion were analyzed using inhouse software. Three types of texture features were assessed: fractal features, gray-level co-occurrence matrix (GLCM) features, and gray-level run-length matrix (GLRLM) features. The features were extracted from the regions of interest (ROIs) on T2-weighted imaging (T2WI), DWI and apparent diffusion coefficient (ADC) maps. Histogram analysis was performed on ADC maps. Patients were followed up until death. Kaplan-Meier analysis was performed to determine the correlation of texture features with OS. The curves of the high- and low-risk groups were compared using log-rank test. The prognostic efficacy of the predictors was assessed by calculating the concordance probability. RESULTS: The median survival time was 43.5 months (range, 3.97-120.90 m). Four DWI and three ADC texture features showed significant correlation with OS on univariate analysis (p < 0.05). DWI_L_GLCM_maximum_probability [hazard ratio (HR): 2.062 (1.357-3.131)], ADC_H_GLRLM_mean [HR: 2.174 (1.457-3.244)], and ADC_O_GLCM_cluster_shade [HR: 1.882 (1.324-2.674)] were identified as representative prognostic indicators. The optimum threshold levels for these three features were 1.19×100, 1.71×10 and 2.19×0.1, respectively. Neither histogram analysis values nor fractal features revealed significant correlation with survival status (p > 0.05). CONCLUSIONS: Texture features of the mGIST on DWI exhibited correlation with overall survival. High-grade heterogeneity was associated with poor prognosis.

6.
Artigo em Inglês | MEDLINE | ID: mdl-32011998

RESUMO

OBJECTIVE: We aimed to propose a highly automatic and objective model named online transfer learning (OTL) for the differential diagnosis of benign and malignant thyroid nodules from ultrasound (US) images. METHODS: The OTL mothed combined the strategy of transfer learning and online learning. Two datasets (1750 thyroid nodules with 1078 benign and 672 malignant nodules, and 3852 thyroid nodules with 3213 benign and 639 malignant nodules) were collected to develop the model. The diagnostic accuracy was also compared with VGG-16 based transfer learning model and different input images based model. Analysis of receiver operating characteristic (ROC) curves were performed to calculate optimal area under it (AUC) for benign and malignant nodules. RESULTS: AUC, sensitivity and specificity of OTL were 0.98 (95% confidence interval [CI]: 0.97-0.99), 98.7% (95% confidence interval [CI]: 97.8%-99.6%) and 98.8% (95% confidence interval [CI]: 97.9%-99.7%) in the final online learning step, which was significantly better than other deep learning models (P < 0.01). CONCLUSION: OTL model shows the best overall performance comparing with other deep learning models. The model holds a good potential for improving the overall diagnostic efficacy in thyroid nodule US examinations. SIGNIFICANCE: The proposed OTL model could be seamlessly integrated into the conventional work-flow of thyroid nodule US examinations.

7.
Eur Radiol ; 2020 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-32002645

RESUMO

OBJECTIVES: We aimed to develop a radiomics-based model derived from gadoxetic acid-enhanced MR images to preoperatively identify cytokeratin (CK) 19 status of hepatocellular carcinoma (HCC). METHODS: A cohort of 227 patients with single HCC was classified into a training set (n = 159) and a time-independent validated set (n = 68). A total of 647 radiomic features were extracted from multi-sequence MR images. The least absolute shrinkage and selection operator regression and decision tree methods were utilized for feature selection and radiomics signature construction. A multivariable logistic regression model incorporating clinico-radiological features and the fusion radiomics signature was built for prediction of CK19 status by evaluating area under curve (AUC). RESULTS: In the whole cohort, 57 patients were CK19 positive and 170 patients were CK19 negative. By combining 11 and 6 radiomic features extracted in arterial phase and hepatobiliary phase images, respectively, a fusion radiomics signature achieved AUCs of 0.951 and 0.822 in training and validation datasets. The final combined model integrated a-fetoprotein levels, arterial rim enhancement pattern, irregular tumor margin, and the fusion radiomics signature, with a sensitivity of 0.818 and specificity of 0.974 in the training cohort and that of 0.769 and 0.818 in the validated cohort. The nomogram based on the combined model showed satisfactory prediction performance in training (C-index 0.959) and validation (C-index 0.846) dataset. CONCLUSIONS: The combined model based on a fusion radiomics signature derived from arterial and hepatobiliary phase images of gadoxetic acid-enhanced MRI can be a reliable biomarker for CK19 status of HCC. KEY POINTS: • Arterial rim enhancement pattern and irregular tumor margin on hepatobiliary phase on gadoxetic acid-enhanced MRI can be useful for evaluating CK19 status of HCC. • A radiomics-based model performed better than the clinico-radiological model both in training and validation datasets for predicting CK19 status of HCC. • The nomogram based on the fusion radiomics signature can be easily used for CK19 stratification of HCC.

8.
Brain Res ; 1732: 146650, 2020 Jan 08.
Artigo em Inglês | MEDLINE | ID: mdl-31926129

RESUMO

Postoperative cognitive dysfunction (POCD) is a common long-term complication of surgery, which may have serious consequences for quality of life and may even result in irreversible cognitive deficits. With the aging of society, more patients are having surgery due to cancer. However, few studies have focused on postoperative cognitive function in cancer patients. Here, MC38 colon cancer cells (2 × 105/mouse) were injected subcutaneously into 2-month-old C57BL/6J mice 3 weeks before surgery to repair tibial fractures in order to establish a model of a tumor-bearing animal undergoing surgery. Both Morris water maze (MWM) and novel object recognition (NOR) tests indicated that cognitive impairment developed after surgery in tumor-bearing mice, whereas a single surgery or tumor alone had no effects on cognitive function in adult mice. The hippocampal expression of postsynaptic density protein 95 (PSD-95) 7 days post-operatively was consistent with the changes seen in the behavioral experiments. At 48 h post-surgery, significantly elevated levels of plasma TNF-α, IL-6 and IL-1ß were detected in the tumor-bearing mice, but not in normal mice that had undergone surgery. Further analysis of the hippocampi also showed increased expression of TNF-α, IL-6 and IL-1ß in tumor-bearing mice but not normal mice at the same time point, and the mRNA levels of these cytokines were consistent among the different groups. Furthermore, hippocampal microglia activation was absent and the permeability of the BBB was increased in tumor-bearing mice. These results indicate that mice with tumors develop POCD more easily. Prolonged central inflammation, which is mostly likely derived from heightened peripheral innate immunity, possibly underlies the cognitive impairment in tumor-bearing mice after surgery.

9.
Nat Nanotechnol ; 2020 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-31959929

RESUMO

Chirality-the property of an object wherein it is distinguishable from its mirror image-is of widespread interest in chemistry and biology1-6. Regioselective magnetization of one-dimensional semiconductors enables anisotropic magnetism at room temperature, as well as the manipulation of spin polarization-the properties essential for spintronics and quantum computing technology7. To enable oriented magneto-optical functionalities, the growth of magnetic units has to be achieved at targeted locations on a parent nanorod. However, this challenge is yet to be addressed in the case of materials with a large lattice mismatch. Here, we report the regioselective magnetization of nanorods independent of lattice mismatch via buffer intermediate catalytic layers that modify interfacial energetics and promote regioselective growth of otherwise incompatible materials. Using this strategy, we combine materials with distinct lattices, chemical compositions and magnetic properties, that is, a magnetic component (Fe3O4) and a series of semiconducting nanorods absorbing across the ultraviolet and visible spectrum at specific locations. The resulting heteronanorods exhibit optical activity as induced by the location-specific magnetic field. The regioselective magnetization strategy presented here enables a path to designing optically active nanomaterials for chirality and spintronics.

10.
Eur Radiol ; 2020 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-31900703

RESUMO

OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy for predicting personalized responses of hepatocellular carcinoma (HCC) to first transarterial chemoembolization (TACE) session by quantitatively analyzing contrast-enhanced ultrasound (CEUS) cines. METHODS: One hundred and thirty HCC patients (89 for training, 41 for validation), who received ultrasound examination (CEUS and B-mode) within 1 week before the first TACE session, were retrospectively enrolled. Ultrasonographic data was used for building and validating deep learning radiomics-based CEUS model (R-DLCEUS), machine learning radiomics-based time-intensity curve of CEUS model (R-TIC), and machine learning radiomics-based B-Mode images model (R-BMode), respectively, to predict responses (objective-response and non-response) to TACE with reference to modified response evaluation criteria in solid tumor. The performance of models was compared by areas under the receiver operating characteristic curve (AUC) and the DeLong test was used to compare different AUCs. The prediction robustness was assessed for each model. RESULTS: AUCs of R-DLCEUS, R-TIC, and R-BMode were 0.93 (95% CI, 0.80-0.98), 0.80 (95% CI, 0.64-0.90), and 0.81 (95% CI, 0.67-0.95) in the validation cohort, respectively. AUC of R-DLCEUS shows significant difference compared with that of R-TIC (p = 0.034) and R-BMode (p = 0.039), whereas R-TIC was not significantly different from R-BMode. The performance was highly reproducible with different training and validation cohorts. CONCLUSIONS: DL-based radiomics method can effectively utilize CEUS cines to achieve accurate and personalized prediction. It is easy to operate and holds good potential for benefiting TACE candidates in clinical practice. KEY POINTS: • Deep learning (DL) radiomics-based CEUS model can accurately predict responses of HCC patients to their first TACE session by quantitatively analyzing their pre-operative CEUS cines. • The visualization of the 3D CNN analysis adopted in CEUS model provided direct insight into what computers "see" on CEUS cines, which can help people understand the interpretation of CEUS data. • The proposed prediction method is easy to operate and labor-saving for clinical practice, facilitating the clinical treatment decision of HCCs with very few time costs.

11.
Artigo em Inglês | MEDLINE | ID: mdl-31905129

RESUMO

OBJECTIVE: Fluorescence molecular tomography (FMT) is a promising medical imaging technology aimed at the non-invasive, specific, and sensitive detection of the distribution of fluorophore. Conventional sparsity prior-based methods of FMT commonly face problems such as over-sparseness, spatial discontinuity, and poor robustness, due to the neglect of the interrelation within the local subspace. To address this, we propose an adaptive group orthogonal matching pursuit (AGOMP) method. METHODS: AGOMP is based on a novel local spatial-structured sparse regularization, which leverages local spatial interrelations as group sparsity without the hard prior of the tumor region. The adaptive grouped subspace matching pursuit method was adopted to enhance the interrelatedness of elements within a group, which alleviates the over-sparsity problem to some extent and improves the accuracy, robustness, and morphological similarity of FMT reconstruction. A series of numerical simulation experiments, based on digital mouse with both one and several tumors, were conducted, as well as in vivo mouse experiments. RESULTS: The results demonstrated that the proposed AGOMP method achieved better location accuracy, fluorescent yield reconstruction, relative sparsity, and morphology than state-of-the-art methods under complex conditions for levels of Gaussian noise ranging from 5×25%. Furthermore, the in vivo mouse experiments demonstrated the practical application of FMT with AGOMP. CONCLUSION: The proposed AGOMP can improve the accuracy and robustness for FMT reconstruction in biomedical application.

12.
ACS Nano ; 2020 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-31999433

RESUMO

Stem cell therapies are increasingly recognized as the future direction of regenerative medicine, but the biological fate of the administrated stem cells remains a major concern for clinical translation, which calls for an approach to efficiently monitoring the stem cell behaviors in vivo. Magnetic particle imaging (MPI) is an emerging technology for cell tracking; however, its utility has been largely restricted due to the lack of optimal magnetic nanoparticle tracers. Herein, by controlled engineering of the size and shape of magnetic nanoparticles tailored to MPI physics theory, a specialized MPI tracer, based on cubic iron oxide nanoparticles with an edge length of 22 nm (CIONs-22), is developed. Due to the inherent lower proportion of disordered surface spins, CIONs-22 exhibit significantly larger saturation magnetization than that of spherical ones, while they possess similar saturation magnetization but smaller coercivity compared to larger-sized CIONs. These magnetic properties of CIONs-22 warrant high sensitivity and resolution of MPI. With their efficient cellular uptake, CIONs-22 exhibit superior MPI performance for stem cell labeling and tracking compared to the commercialized tracer Vivotrax. By virtue of these advantages, CIONs-22 enable real-time and prolonged monitoring of the spatiotemporal trajectory of stem cells transplanted to hindlimb ischemia mice, which demonstrates the great potential of CIONs-22 as MPI tracers to advance stem cell therapies.

13.
Nat Commun ; 11(1): 573, 2020 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-31996677

RESUMO

Hypoxia in solid tumors is thought to be an important factor in resistance to therapy, but the extreme microscopic heterogeneity of the partial pressures of oxygen (pO2) between the capillaries makes it difficult to characterize the scope of this phenomenon without invasive sampling of oxygen distributions throughout the tissue. Here we develop a non-invasive method to track spatial oxygen distributions in tumors during fractionated radiotherapy, using oxygen-dependent quenching of phosphorescence, oxygen probe Oxyphor PtG4 and the radiotherapy-induced Cherenkov light to excite and image the phosphorescence lifetimes within the tissue. Mice bearing MDA-MB-231 breast cancer and FaDu head neck cancer xenografts show different pO2 responses during each of the 5 fractions (5 Gy per fraction), delivered from a clinical linear accelerator. This study demonstrates subsurface in vivo mapping of tumor pO2 distributions with submillimeter spatial resolution, thus providing a methodology to track response of tumors to fractionated radiotherapy.

14.
Eur Radiol ; 2020 Jan 17.
Artigo em Inglês | MEDLINE | ID: mdl-31953668

RESUMO

OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer. MATERIALS AND METHODS: Preoperative DECT images were retrospectively collected from 204 pathologically confirmed cases of gastric adenocarcinoma (mean age, 58 years; range, 28-81 years; 157 men [mean age, 60 years; range, 28-81 years] and 47 women [mean age, 54 years; range, 28-79 years]) between November 2011 and October 2018, They were divided into training (n = 136) and test (n = 68) sets. Radiomics features were extracted from monochromatic images at arterial phase (AP) and venous phase (VP). Clinical information, CT parameters, and follow-up data were collected. A radiomics nomogram for LNM prediction was built using deep learning approach and evaluated in test set using ROC analysis. Its prognostic performance was determined with Harrell's concordance index (C-index) based on patients' outcomes. RESULTS: The dual-energy CT radiomics signature was associated with LNM in two sets (Mann-Whitney U test, p < 0.001) and an achieved area under the ROC curve (AUC) of 0.71 for AP and 0.76 for VP in test set. The nomogram incorporated the two radiomics signatures and CT-reported lymph node status exhibited AUCs of 0.84 in the training set and 0.82 in the test set. The C-indices of the nomogram for progression-free survival and overall survival prediction were 0.64 (p = 0.004) and 0.67 (p = 0.002). CONCLUSION: The DECT-based deep learning radiomics nomogram showed good performance in predicting LNM in gastric cancer. Furthermore, it was significantly associated with patients' prognosis. KEY POINTS: • This study investigated the value of deep learning dual-energy CT-based radiomics in predicting lymph node metastasis in gastric cancer. • The dual-energy CT-based radiomics nomogram outweighed the single-energy model and the clinical model. • The nomogram also exhibited a significant prognostic ability for patient survival and enriched radiomics studies.

15.
Br J Radiol ; : 20190558, 2020 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-31957473

RESUMO

OBJECTIVE: To build and validate a CT radiomic model for pre-operatively predicting lymph node metastasis in early cervical carcinoma. METHODS AND MATERIALS: A data set of 150 patients with Stage IB1 to IIA2 cervical carcinoma was retrospectively collected from the Nanfang hospital and separated into a training cohort (n = 104) and test cohort (n = 46). A total of 348 radiomic features were extracted from the delay phase of CT images. Mann-Whitney U test, recursive feature elimination, and backward elimination were used to select key radiomic features. Ridge logistics regression was used to build a radiomic model for prediction of lymph node metastasis (LNM) status by combining radiomic and clinical features. The area under the receiver operating characteristic curve (AUC) and κ test were applied to verify the model. RESULTS: Two radiomic features from delay phase CT images and one clinical feature were associated with LNM status: log-sigma-2-0 mm-3D_glcm_Idn (p = 0.01937), wavelet-HL_firstorder_Median (p = 0.03592), and Stage IB (p = 0.03608). Radiomic model was built consisting of the three features, and the AUCs were 0.80 (95% confidence interval: 0.70 ~ 0.90) and 0.75 (95% confidence intervalI: 0.53 ~ 0.93) in training and test cohorts, respectively. The κ coefficient was 0.84, showing excellent consistency. CONCLUSION: A non-invasive radiomic model, combining two radiomic features and a International Federation of Gynecology and Obstetrics stage, was built for prediction of LNM status in early cervical carcinoma. This model could serve as a pre-operative tool. ADVANCES IN KNOWLEDGE: A noninvasive CT radiomic model, combining two radiomic features and the International Federation of Gynecology and Obstetrics stage, was built for prediction of LNM status in early cervical carcinoma.

16.
Cancer Med ; 2020 Jan 07.
Artigo em Inglês | MEDLINE | ID: mdl-31910330

RESUMO

In the past decade, the studies involving single nucleotide polymorphisms (SNPs) in microRNAs (miRNAs) with lung cancer (LC) risk have been performed, however, these results are inconsistent, and a systematic research synopsis has not been performed yet. Therefore, we attempted to perform comprehensive meta-analyses to assess the relationships between SNPs in miRNAs or biosynthesis genes and LC risk and further evaluate the epidemiological credibility of these significant associations. We used PubMed, Medline, and Web of Science to search for relevant articles published before 30 May 2019 that assessed relationships between SNPs in miRNAs or biosynthesis genes and LC risk. The cumulative epidemiological evidence of statistical relationships was further assessed combining Venice Criteria and a false-positive report probability test. Based on 20 publications with 15 969 cases and 17 174 controls, we found that six variants in miRNAs or biosynthesis genes that proved significant associations with LC risk, whereas five proved no association. Subgroup analyses by ethnicity and genetic models were performed, suggesting that four associations were rated as demonstrating strong evidence of relationship with LC risk, including miRNA-146a rs2910164 in all populations under dominant model and in Asians under dominant and recessive models, and AGO1 rs595961 in Asians under allelic model. Three associations were graded as moderate, and seven associations were rated as weak. This study presents the relationships between SNPs in miRNAs or biosynthesis genes and LC risk, subsequently demonstrates the credibility of these significant associations, and highlights the role in the pathogenesis of LC.

17.
Artigo em Inglês | MEDLINE | ID: mdl-31944499

RESUMO

Fully utilizing solar energy for catalysis requires integration of conversion mechanisms and therefore delicate design of catalyst structures and active species. Here, a MOF crystal engineering method was developed to controllably synthesize the copper-ceria catalyst with well-dispersed photoactive Cu-[O]-Ce species. Using preferential CO oxidation as a model reaction, the catalyst showed remarkably efficient and stable photoactivated catalysis, which found practical application in feed gas treatment for fuel cell gas supply. The coexistence of photochemistry and thermochemistry effects contributes to the high efficiency. Our results demonstrate a catalyst design approach with atomic or molecular precision and the combinatorial photoactivation strategy for solar energy conversion.

18.
Artigo em Inglês | MEDLINE | ID: mdl-31976880

RESUMO

Fluorescence molecular tomography (FMT), which can visualize the distribution of fluorescence biomarkers, has become a novel three-dimensional noninvasive imaging technique for in vivo studies such as tumor detection and lymph node location. However, it remains a challenging problem to achieve satisfactory reconstruction performance of conventional FMT in the first near-infrared window (NIR-I, 700-900nm) because of the severe scattering of NIR-I light. In this study, a promising FMT method for heterogeneous mice was proposed to improve the reconstruction accuracy using the second near-infrared window (NIR-II, 1000-1700nm), where the light scattering significantly reduced compared with NIR-I. The optical properties of NIR-II were analyzed to construct the forward model for NIR-II FMT. Furthermore, to raise the accuracy of solution of the inverse problem, we proposed a novel Gaussian weighted neighborhood fused Lasso (GWNFL) method. Numerical simulation was performed to demonstrate the outperformance of GWNFL compared with other algorithms. Besides, a novel NIR-II/NIR-I dual-modality FMT system was developed to contrast the in vivo reconstruction performance between NIR-II FMT and NIR-I FMT. To compare the reconstruction performance of NIR-II FMT with traditional NIR-I FMT, numerical simulations and in vivo experiments were conducted. Both the simulation and in vivo results showed that NIR-II FMT outperformed NIR-I FMT in terms of location accuracy and spatial overlap index. It is believed that this study could promote the development and biomedical application of NIR-II FMT in the future.

19.
Urology ; 135: 71-75, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31195014

RESUMO

OBJECTIVE: To summarize the clinical characteristics and surgical management of adrenal teratoma in adults. PATIENTS AND METHODS: We retrospectively reviewed 14 patients with adrenal teratoma from January 2002 to June 2017, at 2 large centers in China and performed a systematic review of 39 patients from our series and published literatures. The clinicopathological characteristics, imaging features, surgical management and outcomes of this rare disease were analyzed. RESULTS: Our series includes 12 females and 2 males with the median age of 35. Seven patients were treated by open adrenalectomy (OA) and 7 by laparoscopic adrenalectomy (LA) without perioperative complications. All patients were alive without recurrence or canceration over a mean follow-up of 77.1 months. In the systemic review, the male-female ratio was nearly 1:3, with a median age of 29 years. Mean tumor size was 9.4 cm and the distribution was almost the same between left and right side (53.8% vs 46.2%). The most common symptoms were flank or abdominal pain (46.2%), whereas 53.8% patients were asymptomatic. Tumors were often cystic (63.9%) with intratumoral fat (91.7%) and calcifications (80.6%). All patients underwent surgery including 17 (43.6%) OA and 22 (56.4%) minimally invasive surgery. All tumors were pathologically confirmed mature teratoma except for one. CONCLUSION: Adrenal teratoma is an extremely rare entity, frequently found to be large, benign and cystic. The patient's prognosis is generally good. As for its large volume, OA is the first choice for teratoma in most cases, while the LA can be an option in the small one.


Assuntos
Neoplasias das Glândulas Suprarrenais/cirurgia , Glândulas Suprarrenais/patologia , Doenças Assintomáticas/terapia , Doenças Raras/cirurgia , Teratoma/cirurgia , Neoplasias das Glândulas Suprarrenais/diagnóstico , Neoplasias das Glândulas Suprarrenais/patologia , Glândulas Suprarrenais/cirurgia , Adrenalectomia , Adulto , China , Feminino , Seguimentos , Humanos , Laparoscopia , Masculino , Prognóstico , Doenças Raras/diagnóstico , Doenças Raras/patologia , Estudos Retrospectivos , Teratoma/diagnóstico , Teratoma/patologia , Resultado do Tratamento
20.
Eur Radiol ; 30(2): 833-843, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-31673835

RESUMO

PURPOSE: To develop a radiomics-based model to stratify the risk of early progression (local/regional recurrence or metastasis) among patients with hypopharyngeal cancer undergoing chemoradiotherapy and modify their pretreatment plans. MATERIALS AND METHODS: We randomly assigned 113 patients into two cohorts: training (n = 80) and validation (n = 33). The radiomic significant features were selected in the training cohort using least absolute shrinkage and selection operator and Akaike information criterion methods, and they were used to build the radiomic model. The concordance index (C-index) was applied to evaluate the model's prognostic performance. A Kaplan-Meier analysis and the log-rank test were used to assess risk stratification ability of models in predicting progression. A nomogram was plotted to predict individual risk of progression. RESULTS: Composed of four significant features, the radiomic model showed good performance in stratifying patients into high- and low-risk groups of progression in both the training and validation cohorts (log-rank test, p = 0.00016, p = 0.0063, respectively). Peripheral invasion and metastasis were selected as significant clinical variables. The combined radiomic-clinical model showed good discriminative performance, with C-indices 0.804 (95% confidence interval (CI), 0.688-0.920) and 0.756 (95% CI, 0.605-0.907) in the training and validation cohorts, respectively. The median progression-free survival (PFS) in the high-risk group was significantly shorter than that in the low-risk group in the training (median PFS, 9.5 m and 19.0 m, respectively; p [log-rank] < 0.0001) and validation (median PFS, 11.3 m and 22.5 m, respectively; p [log-rank] = 0.0063) cohorts. CONCLUSIONS: A radiomics-based model was established to predict the risk of progression in hypopharyngeal cancer with chemoradiotherapy. KEY POINTS: • Clinical information showed limited performance in stratifying the risk of progression among patients with hypopharyngeal cancer. • Imaging features extracted from CECT and NCCT images were independent predictors of PFS. • We combined significant features and valuable clinical variables to establish a nomogram to predict individual risk of progression.

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