Hammerklinge8950

Online dose verification based on proton-induced positron emitters requires high accuracy in the assignment of elemental composition (e.g., C and O). We developed a machine learning framework for deriving oxygen and carbon concentration based on dual-energy CT (DECT).

Digital phantoms at the head site were constructed based on single-energy CT (SECT) and stoichiometric calibration. DECT images (80 and 140kVp) were synthesized using two methods (1) theoretical CT numbers with Gaussian noise (method 1) and (2) forward/backward image reconstruction with poly-energetic energy spectrum and Poisson noise modeled (method 2). Two architectures of convolutional neural networks, UNet and ResNet, were investigated to map from DECT images to C/O weights. Four cases (UNet-1 Method 1+UNet, ResNet-1 Method 1+ResNet, UNet-2 Method 2+UNet, and ResNet-2 Method 2 +ResNet) were tested for different tissue types and different noise levels. Monte-Carlo simulation was employed to identify the impact of fluctuation in oxygen andarbon and oxygen concentration. This study lays a foundation for us to apply the proposed approach to clinical DECT images.

We explored the feasibility of a machine learning framework to derive elemental concentration of oxygen and carbon based on DECT images. Two machine learning models, UNet and ResNet, are able to utilize spatial correlation and obtain accurate carbon and oxygen concentration. This study lays a foundation for us to apply the proposed approach to clinical DECT images.A novel feature screening method is proposed to examine the correlation between latent responses and potential predictors in ultrahigh-dimensional data analysis. First, a confirmatory factor analysis (CFA) model is used to characterize latent responses through multiple observed variables. The expectation-maximization algorithm is employed to estimate the parameters in the CFA model. Second, R-Vector (RV) correlation is used to measure the dependence between the multivariate latent responses and covariates of interest. Third, a feature screening procedure is proposed on the basis of an unbiased estimator of the RV coefficient. The sure screening property of the proposed screening procedure is established under certain mild conditions. Monte Carlo simulations are conducted to assess the finite-sample performance of the feature screening procedure. The proposed method is applied to an investigation of the relationship between psychological well-being and the human genome.

To compare the ability of six scoring systems to predict successful labor induction with cervical ripening among women with a Bishop score <3.

Secondary analysis of data from a prospective, multicenter observational Methods of Induction of Labor and Perinatal Outcomes (MEDIP) cohort study in 94 obstetrical French units. We included women with a Bishop score <3 before cervical ripening. We compared six scores Bishop, simplified Bishop, modified Bishop, simplified Bishop including parity, Hughey, and Levine scores. Vaginal delivery defined successful labor induction. The ability of each score to predict successful labor induction was evaluated by comparing their area under the curve (AUC).

Among the 600 eligible women in this study, 408 (68%) delivered vaginally. Body mass index (calculated as weight in kilograms divided by the square of height in meters; mean±standard deviation [SD] 24.7±5.5 vs 26.0±5.7; P=0.01) and nulliparity (48.8% vs 85.4%; P<0.001) were lower in the successful induction group, whereas height was higher (mean±SD 165.3±6.0cm vs 163.7±6.0cm; P=0.002). The simplified Bishop including parity, Hughey, and Levine scores had the highest AUC (0.70, 95% confidence interval [CI] 0.65-0.73; 0.68, 95% CI 0.64-0.74; and 0.69, 95% CI 0.65-0.74, respectively).

In women with a very unfavorable cervix, scores that include parity predict successful labor induction more accurately, such as simplified Bishop including parity, Hughey, or Levine scores.

In women with a very unfavorable cervix, scores that include parity predict successful labor induction more accurately, such as simplified Bishop including parity, Hughey, or Levine scores.

Many studies have been conducted to better understand the molecular mechanism involved with periodontitis progression. There has been growing interest in the potential impact of obesity on periodontitis onset and progression, but the mechanisms involved remain to be elucidated. The present study was designed to determine the impact of obesity on experimentally induced periodontitis in rats and identify novel pathways involved.

Sixteen Holtzman rats were distributed into two groups (n=8) ligature-induced periodontitis (P) and obesity plus ligature-induced periodontitis (OP). Obesity was induced by a high-fat diet for 70days, whereas periodontitis was induced for 20days, with a cotton thread placed around the upper first molars bilaterally. Alveolar bone loss was measured by microtomographic analysis and histologically by histometry on the hemimaxillae. The protein composition of the periodontal ligament was evaluated by proteomic analysis.

Data analysis (body weight, adipose tissue weight, and blood test) confirmed obesity induction, whereas bone loss was confirmed by micro-CT and histologic analyses. Proteome analysis from the periodontal ligament tissues (PDL) identified 819 proteins, 53 exclusive to the P group, 28 exclusive to the OP group, and 738 commonly expressed. Validation was performed by immunohistochemistry for selected proteins (spondin1, vinculin, and TRAP).

Histologically, it was found that obesity did not significantly affect bone loss resulting from periodontitis. However, the present study's findings indicated that obesity affects the proteome of PDL submitted to experimental periodontitis, allowing for identifying potential targets for personalized approaches.

Histologically, it was found that obesity did not significantly affect bone loss resulting from periodontitis. However, the present study's findings indicated that obesity affects the proteome of PDL submitted to experimental periodontitis, allowing for identifying potential targets for personalized approaches.

In-transit metastases (ITM) are a form of locoregional relapse representing intralymphatic metastatic spread and occur in approximately 4-9% of patients with melanoma >1 mm Breslow thickness. Our objective was to evaluate a combination of clinicopathologic risk factors and gene expression biomarkers predictive of ITM risk.

We used PCR to quantify gene expression in diagnostic biopsy tissue across a prospectively designed archival cohort of 854 consecutive thin and intermediate thickness primary cutaneous melanomas. The outcome of interest was ITM >90 days after a melanoma diagnosis. Cox proportional hazard models were fit to estimate each clinicopathologic and molecular characteristic's association with the risk of ITM.

The 5-year cumulative incidence of ITM was 3.2%. Clinical factors univariately associated with an increased risk of ITM were older age, greater Breslow thickness, greater mitotic rate, lower extremity location, ulceration, and a positive SLN biopsy. Of 108 genes tested, five were significantly upregulated and five significantly downregulated when evaluated in Cox models adjusted for age, Breslow thickness, mitotic rate, and lower extremity location. Among the upregulated genes, the strongest association was observed for interleukin-8 (IL8).

A subset of gene expression biomarkers was identified as independently associated with the risk of ITM after adjusting for key covariates. Once sufficiently validated, our results may lead the way to regional therapy trials for a small, selected group of high-risk patients.

A subset of gene expression biomarkers was identified as independently associated with the risk of ITM after adjusting for key covariates. Once sufficiently validated, our results may lead the way to regional therapy trials for a small, selected group of high-risk patients.

Management of ovarian torsion ranges from de-torsion to oophorectomy and is dependent on various factors. Oophorectomy can have significant implications for fertility and general health, thus requiring careful consideration.

We evaluate the management of ovarian torsion at a tertiary hospital over a ten-year period and identify the predictors of oophorectomy in ovarian torsion cases.

Inpatient notes of patients who underwent surgical management for acute ovarian torsion at a tertiary hospital in Victoria, Australia, were reviewed, from January 2008 to June 2018. We reported the incidence and predictors of oophorectomy and ovarian ischaemia and current practices in oophoropexy.

Our analysis included 159 patients. DZD9008 The incidence of oophorectomy was 47%. After confounders were adjusted, increasing age was the only significant predictor for oophorectomy. The adjusted odds ratio of having an oophorectomy based on age alone was 1.10 for each year increase in age between the ages of 15 and 68 (P=0.001, 95% confidence interval 1.04-1.16). Of those with oophorectomy, 57% had ischaemia confirmed histologically. There were no significant predictors for ischaemia.

The incidence of oophorectomy in this audit is comparable to reported incidences in current literature. However, with increasing evidence to support ongoing ovarian function even in cases where ischaemia is histologically confirmed, this incidence could be lowered. Age was the only variable that was found to have a significant effect on the incidence of oophorectomy.

The incidence of oophorectomy in this audit is comparable to reported incidences in current literature. However, with increasing evidence to support ongoing ovarian function even in cases where ischaemia is histologically confirmed, this incidence could be lowered. Age was the only variable that was found to have a significant effect on the incidence of oophorectomy.

To investigate the clinical course and management of abdominal wall endometriosis (AWE).

A retrospective study was carried out from January 2010 to December 2020, at Vita-Nações Hospitals, Curitiba, Brazil, in order to evaluate data of patients undergoing surgery for the excision of AWE.

83 women with AWE were included in the study. Umbilical scar endometriosis was found in 26 patients (31.3%), being primary in 20 cases (76.9%) and secondary to a laparoscopic procedure in 6 cases (23.1%). 2 patients had secondary implants outside the umbilicus after laparoscopic surgery. Secondary implant after cesarian section in 55 patients (66.3%). Diagnosis was made by ultrasound in 65 patients (78.3%) and by MRI in the remaining 18 (21.7%). Complete excision of the nodule was carried out and no case of recurrence was registered up to now.

Painful abdominal mass presenting in women, especially with a previous history of abdominal and pelvic surgery, should be suspected of AWE. It occurs most often secondary to obstetric or gynecological surgeries and seems to be related to iatrogenic transfer of the endometrial tissue at the level of the surgical scar. Cesarean scar endometriosis is the most common presentation. Surgical excision including the surrounding fibrotic tissue should be performed.

Painful abdominal mass presenting in women, especially with a previous history of abdominal and pelvic surgery, should be suspected of AWE. It occurs most often secondary to obstetric or gynecological surgeries and seems to be related to iatrogenic transfer of the endometrial tissue at the level of the surgical scar. Cesarean scar endometriosis is the most common presentation. Surgical excision including the surrounding fibrotic tissue should be performed.