IntroductionTo investigate the outcome of locoregionally advanced nasopharyngeal carcinoma (NPC) treated with intensity-modulated radiation therapy (IMRT) after induction chemotherapy, with or without concomitant chemotherapy.MethodsBetween August 2003 and March 2007, 370 patients with locoregionally advanced NPC were treated with IMRT. Presenting stages were stage IIB in 62, stage III in 197, and stage IVA/B in 111 patients. All patients except for 36 patients with cervical lymphadenopathy of 4 cm or less in diameter received 2 cycles of cisplatin-based neoadjuvant chemotherapy. Forty-eight patients received cisplatin-based concurrent chemotherapy as well.ResultsWith a median follow-up time of 31 months (range 5 to 61 months), the 3-year local control, regional control, metastasis-free survival (MFS), disease-free survival (DFS) and overall survival (OS) rates were 95%, 97%, 86%, 81% and 89%, respectively. Multivariate analyses revealed that both age (≤ 60 vs. >60) and N-classification are significant prognosticators for OS (P = 0.001, hazard ratio [HR] 2.395, 95% confidence interval [CI] 1.432-4.003; P = 0.012, hazard ratio [HR] 2.614, 95% confidence interval [CI] 1.235-5.533); And N-classification is the only significant predicative factor for MFS (P = 0.002, [HR] 1.99, 95% CI 1.279-3.098). T-classification and concurrent chemotherapy were not significant prognostic factors for local/regional control, MFS, DFS, or OS. Subgroup analysis revealed that concurrent chemotherapy provided no significant benefit to IMRT in locoregionally advanced NPC, but was responsible for higher rates of grade 3 or 4 acute toxicities (50% vs. 29.8%, P < 0.005). No grade 3 or 4 late toxicity including xerostomia was observed. However, two patients treated with IMRT and neoadjuvant but without concurrent and adjuvant chemotherapy died of treatment related complications.ConclusionIMRT following neoadjuvant chemotherapy produced a superb outcome in terms of local control, regional control, MFS, DFS, and OS rates in patients with stage IIB to IVB NPC. Effective treatment strategy is urgently needed for distant control in patients diagnosed with locoregionally advanced NPC.
High-dose RT is indicated for local disease control in patients with metastatic NPC, and may improve survival when actively used with systemic chemotherapy and local treatment for metastatic foci. Patients with single-organ metastases have a better prognosis as compared with those with more widespread metastases.
Roller intervals are the key parameters of the stagger spinning process, which affect the shape accuracy and productivity of the products. In this article, the effects of different roller intervals in axial and radial directions on tool forces, wall thickness, and strain and stress variations in stagger spinning have been analyzed numerically by the finite element analysis. The results show that with the increasing of the axial roller intervals, the differences between tool force components (axial, radial, and tangential) become lower at first, and then have the trend to be higher. The similar phenomenon on tool force occurs when the radial interval of roller 3 increases and that of roller 2 decreases. Wall thickness variations are mainly affected by axial roller intervals; the bigger the axial intervals are, the higher the variations of wall thickness that would be seen. Meanwhile, the real reductions of wall thickness are mainly affected by radial roller intervals. When the radial interval of roller 3 is larger than that of roller 2, there would be a higher real wall thickness reduction.
Objective. To compare the clinical and radiographic results of the supercapsular percutaneously assisted total hip (SuperPATH) approach and the conventional approach in hip arthroplasty. Design. Based on a prepublished protocol (PROSPERO: CRD42020177717), we searched PubMed, Embase, and Cochrane for relevant literatures up to January 30, 2021. The methodological qualities were assessed using the guidelines provided by the Cochrane Collaboration for Systematic Reviews. Randomized- or fixed-effect models were used to calculate the weighted mean difference (WMD) or odds ratio (OR), respectively, for continuous and dichotomous variables. Results. 6 articles were included in the study, and 526 patients were selected, which included 233 cases in the SuperPATH groups and 279 cases in the conventional groups, and 4 cases performed two surgeries in succession. The SuperPATH group demonstrated shorter incision length ( WMD = − 7.87 , 95% CI (−10.05, −5.69), P < 0.00001 ), decreased blood transfusion rate ( OR = 0.48 , 95% CI (0.25, 0.89), P = 0.02 ), decreased visual analogue scale (VAS) ( WMD = − 0.40 , 95% CI (−0.72, −0.08), P = 0.02 ), and higher Harris hip score (HHS) ( WMD = 1.98 , 95% CI (0.18, 3.77), P = 0.03 ) than the conventional group. However, there was no difference in VAS ( P = 0.14 ) and HHS ( P = 0.86 ) between the two groups 3 months later, nor in the acetabular abduction angle ( P = 0.32 ) in either group. Conclusions. SuperPATH, as a minimally invasive approach with its reduced tissue damage, quick postoperative recovery, and early rehabilitation, demonstrates the short-term advantages of hip arthroplasty. As the evidences in favor of the SuperPATH technique were limited in a small number of studies and short duration of follow-up, more research is required to further analyze its long-term effect.
The intracellularly-grown-Au-nanoparticles (IGAuNs) technique was employed to analyze the surface-enhanced Raman scattering (SERS) spectra of nasopharyngeal carcinoma cells (CNE-1 cell line). There are only six obvious Raman bands (718, 1001, 1123, 1336, 1446, 1660 cm−1) in the normal Raman spectrum of living CNE-1 cells. However, over twenty SERS Raman bands have been detected in the SERS spectra of IGAuNs-induced cells, among which five bands are of the DNA backbone (673, 1097, 1306, 1336 and 1585 cm−1). There are four vibrations of the DNA backbone (1026, 1097, 1336 and 1585 cm−1) in the SERS spectra of living CNE-1 cells induced by the passive uptake gold nanoparticles (PUAuNS), but one more DNA backbone and many nucleus Raman peaks appeared in the IGAuNs-induced SERS spectra. Many Raman peaks in the PUAuNs-induced SERS spectra are stronger than those in the IGAuNs-induced ones. This study has shown that the PUAuNs technique can achieve stronger Raman signals, and that the IGAuNs technique can enable the gold element to access to the nucleus more easily, which could help to obtain more surface-enhanced Raman signals of the intracellular biochemical molecules. Thus, the two techniques can work together to attain the Raman spectral information of the cytoplasm and the nucleus in a better way, which might provide a sensitive method for broad biomedical applications such as intracellular SERS analysis of living cells.
An esophageal cancer intelligent diagnosis system is developed to improve the recognition rate of esophageal cancer image diagnosis and the efficiency of physicians, as well as to improve the level of esophageal cancer image diagnosis in primary care institutions. In this paper, by collecting medical images related to esophageal cancer over the years, we establish an intelligent diagnosis system based on the convolutional neural network for esophageal cancer images through the steps of data annotation, image preprocessing, data enhancement, and deep learning to assist doctors in intelligent diagnosis. The convolutional neural network-based esophageal cancer image intelligent diagnosis system has been successfully applied in hospitals and widely praised by frontline doctors. This system is beneficial for primary care physicians to improve the overall accuracy of esophageal cancer diagnosis and reduce the risk of death of esophageal cancer patients. We also analyze that the efficacy of radiation therapy for esophageal cancer can be influenced by many factors, and clinical attention should be paid to grasp the relevant factors in order to improve the final treatment effect and prognosis of patients.
<span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">As an effective tool in pattern recognition and machine learning, support vector machine (SVM) has been adopted abroad. In developing a successful SVM classifier, eliminating noise and extracting feature are very important. This paper proposes the application of kernel Principal Component Analysis (KPCA) to SVM for feature extraction. Then PSO Algorithm is adopted to optimization of these parameters in SVM. The novel time series analysis model integrates the advantage of wavelet, PSO, KPCA and SVM. Compared with other predictors, this model has greater generality ability and higher accuracy.</span>
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