Steffensenstraarup6515

Bilateral simultaneous and gradual drainage, strict monitoring of drained fluid and blood pressure in the perioperative period and frequent neurological with prompt radiological assessment in case of clinical worsening, should be the mainstay of a correct management of chronic subdural hematoma (particularly if bilateral) in order to avoid potentially fatal complications.

Within the last 50 years the management of patients with breast cancer has changed dramatically with a significant de-escalation of the role and magnitude of surgery, both for the management of the primary tumor and for the management of the axilla. In the management of the axilla of patients with early stage breast cancer (EBC) and clinically uninvolved axilla (cN0), axillary lymph node dissection (ALND) was gradually replaced by sentinel lymph node biopsy (SLNB) saving more than 60-70% of patients from an unnecessary dissection. Further studies confirmed that isolated tumor cells or micrometastases found on the SLN had no further benefit from ALND sparing even more patients from an unnecessary ALND. Eventually, the Z0011 and other studies showed that even patients with 1-2 positive SLN can be spared from ALND provided they fulfill certain criteria. Still though there were many flaws in these studies and further research was necessary to generalize the results of these studies to a wider target group. Mean journey of eliminating axillary surgery, there are still lots of questions to be answered and trials to be conducted. We anticipate the results of the ongoing trials to provide the necessary evidence to safely de-escalate more the axillary surgery, both in the non-neoadjuvant as well as in the neoadjuvant setting, hoping that in the not so far future the axillary surgery will eventually perish.

Although we have covered a long way in the journey of eliminating axillary surgery, there are still lots of questions to be answered and trials to be conducted. We anticipate the results of the ongoing trials to provide the necessary evidence to safely de-escalate more the axillary surgery, both in the non-neoadjuvant as well as in the neoadjuvant setting, hoping that in the not so far future the axillary surgery will eventually perish.Since its introduction nearly 30 years ago, sentinel lymph node biopsy (SLNB) has become the standard technique to stage the axilla for the great majority of patients with early breast cancer. While the accuracy of SLNB in clinically node-negative patients who undergo neoadjuvant chemotherapy (NAC) is similar to the upfront surgery setting, modifications of the technique to improve the false negative rate are necessary in node-positive patients at presentation. Currently, patients who present with matted nodes, cN1 patients who fail to downstage to cN0 with NAC and those with pathological residual disease have an indication to undergo axillary lymph node dissection. Ongoing trials will confirm if extensive nodal irradiation can replace surgery in patients with residual nodal disease after NAC and if nodal radiotherapy can be omitted in patients who achieve nodal pathological complete response. The aim of this review was to focus on the open questions on the management of the axilla after NAC.The evolution of axillary surgery in breast cancer has led from complete axillary dissection (AD) to sentinel node biopsy (SNB). It has not stopped yet but continues with a progressive de-escalation of surgical procedures aiming at axillary conservation. In parallel, the meaning of axillary surgery has changed as well. Over time, the dual role of both a therapeutic and a staging procedure has decreased leaving room to other modalities to treat and stage breast cancer. Although, the gold standard for axillary staging in early breast cancer remains SNB, the idea that axillary surgery could be even omitted has been proposed. The concept of abandoning axillary surgery is revolutionary but not new. Historical literature provides interesting data on patients who did not receive any axillary treatment at all with no impact on their survival. Starting from this, several ongoing trials are working to demonstrate that in selected breast cancer cohorts the information deriving from axillary surgery is superfluous and "axillary observation" alone is as effective as SNB. Whilst surgery has been de-escalated to less invasive procedures, systemic treatment, radiotherapy, multigene assays and advanced imaging modalities have gained ground in the management of breast cancer. New research is expected to help select the subgroups of patients for whom axillary surgery is not necessary anymore. This is a qualitative review reporting the most relevant literature data from historical trials on the omission of axillary surgery to the most recent and ongoing ones.We summarized research progress of forest fire occurrence prediction model in China based on the literature review, from the prospects of forest fire drivers, models of forest fire occurrence probability, models of forest fire occurrence frequency and model validation methods. The main conclusions are 1) Meteorology, terrain, vegetation, fuel and human activities were the main driving factors of forest fire occurrence and model prediction accuracy. https://www.selleckchem.com/products/prt543.html 2) In the models of forest fire occurrence probability, the geographically weighted logistic regression model considered the spatial correlation between model variables, the Gompit regression model could fit the asymmetric structure fire data. The random forest algorithm had a high prediction accuracy without the requirement of multicollinearity test and excessive fitting, which made it as one of the optimal methods of forest fire occurrence probability prediction. 3) Among all the forest fire occurrence frequency models, the negative binomial regression model was suitable for fitting the over discrete data, the zero-inflated model and hurdle model could deal with fire data that contained a large number of zeros. 4) ROC test, AIC test, likelihood ratio test, and Wald test were the most common methods for evaluating the accuracy of fire occurrence probability and frequency models. The study of forest fire occurrence prediction model should be the main focus of the forest fire management. Model selection should base on fire data structure of different forests. More influencing factors should be taken into account to improve the prediction accuracy of model. In addition, it was necessary to further explore the application of other mathematical methods in forest fire prediction, to improve the accuracy of the models.