classification and treatment
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Author(s):  
Elia Rossella ◽  
Maggio Giulio ◽  
Maruccia Michele

2022 ◽  
Vol 7 (1) ◽  
pp. 13-25
Author(s):  
George D Chloros ◽  
Christos D Kakos ◽  
Ioannis K Tastsidis ◽  
Vasileios P Giannoudis ◽  
Michalis Panteli ◽  
...  

Even though fifth metatarsal fractures represent one of the most common injuries of the lower limb, there is no consensus regarding their classification and treatment, while the term ‘Jones’ fracture has been used inconsistently in the literature. In the vast majority of patients, Zone 1 fractures are treated non-operatively with good outcomes. Treatment of Zone 2 and 3 fractures remains controversial and should be individualized according to the patient’s needs and the ‘personality’ of the fracture. If treated operatively, anatomic reduction and intramedullary fixation with a single screw, with or without biologic augmentation, remains the ‘gold standard’ of management; recent reports however report good outcomes with open reduction and internal fixation with specifically designed plating systems. Common surgical complications include hardware failure or irritation of the soft tissues, refracture, non-union, sural nerve injury, and chronic pain. Patients should be informed of the different treatment options and be part of the decision process, especially where time for recovery and returning to previous activities is of essence, such as in the case of high-performance, elite athletes.


2021 ◽  
Author(s):  
Zuocheng Yang ◽  
Changxiang Yan ◽  
Zuozhen Yang ◽  
Song Han

Abstract Background The classification and treatment strategy of atypical central neurocytomas (CNs) are still controversial largely, this study aimed to explore the optical treatment strategy and characteristics in transcriptomic profile. Methods This study retrospectively analyzed data from Sixty-one patients with CNs who underwent surgery in single institution. Whole-transcriptome analysis was used to investigate the differences between typical and atypical CNs. Results The five-year OS (P= 0.015) and PFS rates (P= 0.000002) were significantly higher in the complete resection group than in the incomplete resection group. Postoperative radiotherapy did not affect OS (P=0.255) or PFS (P=0.398) in the complete resection group. The five-year PFS rate (P=0.000038) among patients in the complete resection group who did not receive radiotherapy was significantly longer than that among patients in the incomplete resection group who received radiotherapy. The extent of surgical resection and operative approaches were irrelevant to perioperative complications and dsyfunctions at the last follow-up. Compared with caudate control, some of differentially expressed genes may involve cancer. Finally, the overexpression of ten genes (AMOTL1, PIK3R3, TGFBR1, SMO, COL4A6, MGP, SOX4, IGF2, Slit1 and CKS2) in atypical CNs may be associated with malignancy in atypical CNs. Conclusion Complete resection is relatively the best therapeutic modality for atypical CNs, radiotherapy is not necessary for patients after complete resection of the tumor. Although the previous definition of atypical CNs may not have significant prognostic value, the overexpression of ten genes may be involved in malignant behaviors and potential candidate hallmarks for differentiating the atypical CNs. Although the number of cases was relatively small, the findings could be helpful and instructive in the clinical treatment of this disease.


Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1733
Author(s):  
Thi Mai Nguyen ◽  
Nackhyoung Kim ◽  
Da Hae Kim ◽  
Hoang Long Le ◽  
Md Jalil Piran ◽  
...  

Deep learning (DL) is a distinct class of machine learning that has achieved first-class performance in many fields of study. For epigenomics, the application of DL to assist physicians and scientists in human disease-relevant prediction tasks has been relatively unexplored until very recently. In this article, we critically review published studies that employed DL models to predict disease detection, subtype classification, and treatment responses, using epigenomic data. A comprehensive search on PubMed, Scopus, Web of Science, Google Scholar, and arXiv.org was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Among 1140 initially identified publications, we included 22 articles in our review. DNA methylation and RNA-sequencing data are most frequently used to train the predictive models. The reviewed models achieved a high accuracy ranged from 88.3% to 100.0% for disease detection tasks, from 69.5% to 97.8% for subtype classification tasks, and from 80.0% to 93.0% for treatment response prediction tasks. We generated a workflow to develop a predictive model that encompasses all steps from first defining human disease-related tasks to finally evaluating model performance. DL holds promise for transforming epigenomic big data into valuable knowledge that will enhance the development of translational epigenomics.


2021 ◽  
Vol 11 (1) ◽  
pp. 65-72
Author(s):  
Lajri Bagde ◽  
Ashish Lanjekar ◽  
Ramhari Sathawane ◽  
Rakhi Chandak ◽  
Romita Gaikwad ◽  
...  

2021 ◽  
pp. 1-20
Author(s):  
Yanfang Ma ◽  
Weifeng Xu ◽  
Xiaoyu Wang ◽  
Zongmin Li ◽  
Benjamin Lev

 The decreasing resources of the earth and the deterioration of the environment are offering new challenges for handling waste management practices. The establishment of the smart waste bins plays an important role in promoting the development of waste classification and treatment fundamentally. We developed the evaluation system for the location selection problem of smart waste bins. Considering the uncertainty in the location selection of smart waste bins, the probabilistic linguistic term sets (PLTSs) are selected to express the evaluation information. Because of the excellent performance in weight-determing, the best worst method (BWM) is chosen to get the weight of criteria. While the weighted aggregated sum product assessment (WASPAS) method could handle both the qualitative and quantitative information, which are considered to derive the final ranking of the alternatives. This paper proposed a new group multi-criteria decision making approach integrating the BWM and the WASPAS with probabilistic linguistic information. Finally, in the empirical example, a sensitivity analysis shows that the proposed method is stable, a comparison analysis with PL-TOPSIS, PL-VIKOR, and PL-TODIM reflects its effectiveness and rationality, and the managerial implication verifies its usefulness and practicability, which also give guide to the company, government and resident.


2021 ◽  
Author(s):  
Deborah R. Liptzin ◽  
Matthew D. McGraw ◽  
Paul R. Houin ◽  
Livia A. Veress

Author(s):  
Mascia Daniele ◽  
Salvati Simone ◽  
Carta Niccolò ◽  
Kahlberg Andrea ◽  
Santoro Annarita ◽  
...  

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