Background:
Lung cancer is among the most common cancers worldwide, responsible for 13% of all new cancer cases.
Also, is the leading cause of cancer death among both men and women. In this scenario, an effective and efficient treatment is required.
Objective:
Production of two gold nanoparticles: 198Au and 99mTc-Au. The first one has been directed produced from irradiation of
the 197Au in order to produce a beta-emitter gold nanoparticle for cancer therapy. The second one, has been directed produced from
the radiolabeling of gold nanoparticles with technetium 99 metastable in order to produce imaging nanoagent.
Methods:
The 198Au Nanoparticles were produced by irradiation and identified by hyper-purity germanium (HPGe). Then were evaluated in vitro in order to confirm the behavior on cell proliferation of lung cancer cell line, by the MTT methodology using A549 cells.
The 99mTc-Au nanoparticles were produced by direct-radiolabeling with 99mTc and evaluated in vivo as intralesional nanoagent.
Results:
The results showed that in both cases, all the nanoparticles have performed their duties with excellence. The 198Au nanoparticles were capable to kill lung cancer cells, while and 99mTc-Au was capable to image the tumor after intralesional injection. Also,
99mTc-Au nanoparticles were useful for biodistribution assay imaging, showing the main organs responsible for the nanoparticle uptake
in healthy animals.
Conclusion:
The both gold nanoparticles showed to be a highly efficient nanoagent for both: therapy and diagnosing of lung cancer.
This study was aimed to compare and analyze the magnetic resonance imaging (MRI) manifestations and surgical pathological results of endometrial cancer (EC) and to explore the clinical research of MRI in the diagnosis and staging of EC. Methods. 80 patients with EC admitted to the hospital were selected as the research objects. The ResNet network was used to optimize the network. When the depth was added, the accuracy of the model was improved, the network parameters were iteratively updated, and the damage function of the minimized network was obtained. The recognition efficiency of MRI images was analyzed using three network modes: shallow CNN network, Res-Net network, and optimized network. The images of EC patients were analyzed, and a quantitative and timed MRI was achieved using simulated datasets in deep learning neural networks, which provided the basis for the formulation of single-scan MRI parameters. All patients underwent preoperative MRI examination using coronal and sagittal T1WI and T2WI imaging. The results showed that the accuracy and specificity of T2 weighted imaging and enhanced scanning in MRI were 88.75% and 95%, respectively. Sensitivity was 87.5%, negative predictive value was 93.75%, and positive predictive value was 86.25%. By MRI examination, 80 cases of EC in patients with stage I diagnosis were 72 cases, accounting for 90%, with endometrial thickening and uneven enhancement. In conclusion, the MRI manifestations of EC are diversified, and MRI has a high value for the staging of EC. MRI examination is conducive to improving diagnostic accuracy.
Background
The non-invasive quantitative evaluation of left ventricle (LV) function plays a critical role in clinical cardiology. This study proposes a novel ultrasonic biomechanics method by integrating both LV vortex and wall motion to fully assess and understand the LV structure and function. The purpose of this study was to validate the ultrasonic biomechanics method as a quantifiable approach to evaluate LV function.
Methods
Firstly, B-mode ultrasound images were acquired and processed, which were utilized to implement parameters for quantifying the LV vortex and wall motion respectively. Next, the parameters were compared in polyvinyl alcohol cryogen (PVA) phantoms with different degree of stiffness corresponding to different freezing and thawing cycles in vitro. Finally, the parameters were computed in vivo during one cardiac cycle to assess the LV function in normal and abnormal subjects in vivo.
Results
In vitro study, the velocity field of PVA phantom differed with stiffness (varied elasticity modulus). The peak of strain for wall motion decreases with the increase of elasticity modulus, and periodically changed values. Statistical analysis for parameters of vortex dynamics (energy dissipation index, DI; kinetic energy fluctuations, KEF; relative strength, RS; and vorticity, W) based on different elasticity (E) of phantom depicted the good viability of this algorithm. In vivo study, the results confirmed that subjects with LV dysfunction had lower vorticity and strain (S) compared to the normal group.
Conclusion
Ultrasonic biomechanics method can obtain the vortex and wall motion of left ventricle. The method may have potential clinical value in evaluation of LV dysfunction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.