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Background Breast cancer is the most common cancer affecting women worldwide. In Germany, in almost 70% of cases, women require a complete mastectomy and wish for breast reconstruction which is especially difficult when the breast was previously irradiated. The DIEP flap is then the gold standard for autologous breast reconstruction and shows an overall low complication rate. This study aims to underline the safety of the procedure yet point out potential risk factors for flap edge and fat necrosis in a retrospective series of 1274 DIEP flaps in our center. Patients and Methods 1274 autologous breast reconstructions with the DIEP flap were performed in 1124 patients between July 2004 and December 2014 in our department. Retrospective risk factor analysis included age, BMI, smoking, chemotherapy and/or radiotherapy and comorbidities. Mean follow-up constituted out of 24 months. Results Out of 1274 free DIEP flap breast reconstructions, 150 were bilateral reconstructions. In 785 cases the primary indication was previous mastectomy, followed by prior implant-based reconstruction in 265 cases. The total flap loss rate was 0.6%. Patients with a higher BMI and smokers had significantly higher complication rates than the rest of the cohort. Elderly patients ( 65 years), patients with diabetes and ones who had undergone chemo-/ radiotherapy did not present with higher complication rates. Conclusions The DIEP flap surgery is a well-established method for autologous breast reconstruction with a low complication rate. Yet patient characteristics in terms of risk factors need to be taken into account for result prognosis and satisfactory long-term reconstructive results.

Microsatellite instability (MSI) predetermines responses to adjuvant 5-fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for clinical outcomes. Our objective was to develop and validate a deep learning model that could preoperatively predict the MSI status of rectal cancer based on magnetic resonance images.

This single-center retrospective study included 491 rectal cancer patients with pathologically proven microsatellite status. TAK-715 purchase Patients were randomly divided into the training/validation cohort (n=395) and the testing cohort (n=96). A clinical model using logistic regression was constructed to discriminate MSI status using only clinical factors. Based on a modified MobileNetV2 architecture, deep learning models were tested for the predictive ability of MSI status from magnetic resonance images, with or without integrating clinical factors.

The clinical model correctly classified 37.5% of MSI status in the testing cohort, with an AUC value of 0.573 (95% confidence intpy or immunotherapy and determine individualized therapeutic strategies for these patients.

Lip-seal strength, which represents the muscle strength of the lips, appears to chiefly contribute to mastication and pronunciation. However, the functional characteristics of lip-seal strength in adults are still undefined. The present study aimed to understand not only the distribution of lip-seal strength in adult men and women but also the effect of age on this strength and identify oral motor functions correlated with lip-seal strength.

The subjects included 339 participants (men 170, age 39.2 ± 18.2 years; women 169, age 43.1 ± 19.7 years). Oral motor function was evaluated for lip-seal strength, oral diadochokinesis (ODK), tongue pressure, occlusal force, and masticatory performance. Statistical analyses included the Shapiro-Wilk, Mann-Whitney U, and Jonckheere-Terpstra tests, in addition to the Spearman's correlation analysis and curvilinear regression analysis.

Lip-seal strength did not have a normal distribution (p < 0.001). The mean ± standard deviation and median (first quartile, third qud in both men and women, and lip-seal strength was affected by age only in women. Lip-seal strength and multiple oral motor functions were significantly correlated. Because the indicators of perioral muscle strength and performance were correlated with lip-seal strength, lip-seal strength may also partially reflect the condition of the perioral muscles.Elagolix is a novel, oral gonadotropin-releasing hormone receptor antagonist indicated for the management of moderate to severe pain associated with endometriosis and heavy menstrual bleeding associated with uterine fibroids. Consistent with its mechanism of action, elagolix exhibited dose-dependent suppression of estradiol (E2) in clinical studies. A dose-response model that describes the relationship between elagolix dosages and average E2 levels was combined with a previously published quantitative systems pharmacology (QSP) model of calcium homeostasis to predict bone mineral density (BMD) changes during and following elagolix treatment. In the QSP model, changes in E2 levels were linked to downstream changes in markers of bone resorption (carboxyterminal cross-linked telopeptide of type 1 collagen [CTX]), formation (N-terminal propeptide of type 1 procollagen [P1NP]) and BMD. The BMD, CTX, and P1NP predictions by the QSP model were validated against observed data from four phase III clinical trials of elagolix in premenopausal women with endometriosis. BMD, CTX, and P1NP were successfully described by the QSP model, without any model fitting, suggesting that the model was validated for further predictions of elagolix effects on BMD. Simulations using the validated QSP model demonstrated that elagolix 150 mg once daily dosing for 24 months is predicted to result in -0.91% change from baseline in lumbar spine BMD. The QSP model simulation results were part of the totality of evidence to support the approved duration of therapy for elagolix 150 mg once daily in patients with endometriosis.Photocatalytic CO2 reduction offers a promising approach for managing global carbon balance. The smooth delivery of the photoexcited electrons to the active sites without the extra photosensitizers is still challenging. Herein, a series of donor-π-acceptor conjugated organic polymers (COPs) were produced using anthracene, cobalt-coordinated bipyridyl, and benzene as donor, acceptor, and π linker units, respectively. The introduction of phenyl linker significantly improved the activities of photocatalytic CO2 reduction upon visible light illumination. Structure-performance relationship examinations uncovered that donor-π-acceptor structure promotes mobility of charge carriers and utilization efficiency on the catalytically active sites, resulting in high photocatalytic activity and durability for CO2 photoreduction. The in-depth insights into the electron transport processes open new perspectives for further optimization and rational design of photoactive polymers with high efficiency for solar-energy conversion.

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