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Metal‐free catalytic C−H functionalization is highly desired for the construction of C−C bonds. We herein report a highly chemoselective consecutive C−H [2+3]‐cyclative functionalization for the simultaneous formation of two C−C bonds with construction of polycyclic phenols catalyzed by commercially available and low‐cost B(C6F5)3. This catalytic system tolerates a wide range of substrate scope, providing a series of 2,6,7,8‐tetrahydroacenaphthylen‐3‐ol‐type polycyclic compounds efficiently. Several derivatizations of the catalytic products have also been conducted to show the potential application of this method in synthesis of polycyclic compounds. [ABSTRACT FROM AUTHOR]

Purpose: Measuring patient-reported outcomes (PROs) in clinical practice has been associated with improved survival and quality of life for patients with cancer. However, this application of PROs is relatively new, and little is known about how practices collect PROs, which PROs are measured, and what challenges are met in implementation. Methods: We surveyed Quality Oncology Practice Initiative–registered practices in December 2015 to understand the current state of PROs use and identify areas where implementation support may be needed. PRO collectors were asked to describe their views, practices, and challenges with implementation; noncollectors were asked about their interest in and perceived barriers to collection. Results: Eighty-nine practices (38% of those that viewed the participation request) completed ≥ 50% of the survey and comprised the analytic sample. Most (79%) responders noted that collecting PROs was a high priority; slightly fewer actually collected PROs (69%). Most collectors (79%) were affiliated with hospitals or medical centers, and nearly all (94%) had electronic health records (EHRs). Collectors saw more patients per week than noncollectors (P <.01). The PROs used by collectors addressed several topics, including patient distress (78%), symptoms (76%), and experience or satisfaction (70%). Perceived implementation challenges were similar for collectors and noncollectors: patient unwillingness to complete questionnaires and insufficient staff support; noncollectors additionally cited lack of PRO integration in the electronic health records. Conclusion: Widespread agreement that PRO collection is important has led to early adoption among a sizable minority of Quality Oncology Practice Initiative practices. Reaching consensus regarding which PROs are meaningful and developing and sharing best-practices that overcome implementation barriers could facilitate implementation and maximize PRO utility. [ABSTRACT FROM AUTHOR]

Purpose:Volunteer service learning activities, including Student Run Clinics (SRCs), are becoming an increasingly popular extracurricular component of medical education. While there are reports that student clinicians generally enjoy their educational experiences at SRCs, it is not understood how to optimize and measure student engagement in them. To identify key drivers of student engagement a tool was created to measure volunteer experience at the Crimson Care Collaborative (CCC), a primary care SRC. Methods:CCC volunteers were asked to complete an online engagement survey. Cross-sectional survey data were collected for 149 CCC volunteers (53% response rate). Results:Multivariate linear regression showed that overall ‘likelihood to recommend CCC to a friend’ was significantly associated with students’ perception of the clarity of their role within the clinic, frequency of interprofessional interactions, and overall quality of medical education. Students who volunteer more frequently and for longer periods of time had higher engagement scores. Conclusions:Measuring engagement is feasible in volunteer settings. Engagement appears to be dependent on both structural and experiential components. Easily modifiable components of job design (role definition, expected frequency of volunteering), are key drivers of volunteer engagement. [ABSTRACT FROM AUTHOR]

Objective. To assess the influence of patient preferences and urologist recommendations in treatment decisions for clinically localized prostate cancer. Methods. We enrolled 257 men with clinically localized prostate cancer (prostate-specific antigen <20; Gleason score 6 or 7) seen by urologists (primarily residents and fellows) in 4 Veterans Affairs medical centers. We measured patients’ baseline preferences prior to their urology appointments, including initial treatment preference, cancer-related anxiety, and interest in sex. In longitudinal follow-up, we determined which treatment patients received. We used hierarchical logistic regression to determine the factors that predicted treatment received (active treatment v. active surveillance) and urologist recommendations. We also conducted a directed content analysis of recorded clinical encounters to determine if urologists discussed patients’ interest in sex. Results. Patients’ initial treatment preferences did not predict receipt of active treatment versus surveillance, Δχ2(4) = 3.67, P = 0.45. Instead, receipt of active treatment was predicted primarily by urologists’ recommendations, Δχ2(2) = 32.81, P < 0.001. Urologists’ recommendations, in turn, were influenced heavily by medical factors (age and Gleason score) but were unrelated to patient preferences, Δχ2(6) = 0, P = 1. Urologists rarely discussed patients’ interest in sex (<15% of appointments). Conclusions. Patients’ treatment decisions were based largely on urologists’ recommendations, which, in turn, were based on medical factors (age and Gleason score) and not on patients’ personal views of the relative pros and cons of treatment alternatives. [ABSTRACT FROM AUTHOR]

Background: Intracardiac echocardiography (ICE) is a novel technology with certain advantages in treatment of atrial fibrillation (AF), yet there is limited research on the use of ICE in radiofrequency ablation for AF treatment in China. The aim of this study was to investigate the total fluoroscopy time and dose, safety, and effectiveness of ICE guided vs. traditional fluoroscopy (non-ICE) guided radiofrequency ablation for AF in China., Methods: We conducted a single-center retrospective analysis of patients who underwent ICE or traditional fluoroscopy-guided radiofrequency ablation for AF. The primary endpoint of this study was total fluoroscopy time, and the secondary endpoints included total fluoroscopy dose, acute surgery failure, transseptal puncture time, ablation time, total procedure time, and 6-month surgery success (no AF recurrence or atrial flutter). As an exploratory analysis, outcomes of interest by different types of AF were examined., Results: A total of 97 patients were included in the analysis. Forty-eight were in the ICE group and 49 were in the non-ICE group with comparable demographic and clinical characteristics at the baseline. None of patients experienced acute surgery failure with no major procedure-related complications occurred. The fluoroscopic time and dose were significantly lower in the ICE group compared to the non-ICE group (0.00 vs. 9.67±4.88 min, P<0.001; 0.00 vs. 77.10±44.28 mGy/cm 2 , P<0.001, respectively). There were no statistically significant differences in transseptal puncture time, ablation time and total procedure time between the two groups. There were two AF recurrences observed during the 6-month follow-up in each group (P>0.99)., Conclusions: ICE significantly reduced the fluoroscopic time and dose for radiofrequency catheter ablation in AF patients. There were no significant differences in safety or effectiveness outcomes between the ICE and non-ICE groups., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1418/coif). All authors report that this work was supported by Johnson & Johnson Medical (China) Co., Ltd. C.Z. and X.L. are employees of Shanghai Centennial Scientific Co., Ltd., Shanghai, China. The authors have no other conflicts of interest to declare., (2024 Journal of Thoracic Disease. All rights reserved.)

Aim: To evaluate the costs and consequences of two front-line atrial fibrillation (AF) treatments from Chinese healthcare system perspective: radiofrequency catheter ablation (RFCA) using ThermoCool SmartTouch Catheter guided by Ablation Index (STAI), in comparison to antiarrhythmic drugs (AADs). Patients & methods: We simulated clinical and economic consequences for AF patients initially receiving STAI or AADs using a short-term decision tree model leading to a 10-year long-term Markov model. The model projected both clinical consequences and costs associated with, among others, AF, heart failure (HF), strokes, and deaths due to AF or AF related complications. Data informing the models included combination of a local real-world study and published clinical studies. Results: STAI was advantageous versus AADs on all 4 main clinical outcomes evaluated; AF: 25.83% lower (12.84% vs 38.67%), HF: 2.22% lower (1.33% vs 3.55%), stroke or post stroke: 1.82% lower (10.00% vs 11.82%) and deaths due to AF or AF related complications: 0.64% lower (4.11% vs 4.75%). The average total cost per patient in STAI group was ¥16,682 lower (¥123,124 vs ¥139,806). The one-way sensitivity analysis indicated that the difference in total cost was most sensitive to annual AF recurrence probability in AADs-treated patients. Probabilistic sensitivity analysis indicated a 98.5% probability that RFCA treatment would result in cost savings by the end of the 10th year. Conclusion: Radiofrequency catheter ablation using SmartTouch catheter guided by Ablation Index was superior to AADs as the first-line AF treatment in Chinese setting with better clinical outcomes and at lower costs over a 10-year time horizon.

Metal-free catalytic C-H functionalization is highly desired for the construction of C-C bonds. We herein report a highly chemoselective consecutive C-H [2+3]-cyclative functionalization for the simultaneous formation of two C-C bonds with construction of polycyclic phenols catalyzed by commercially available and low-cost B(C 6 F 5 ) 3 . This catalytic system tolerates a wide range of substrate scope, providing a series of 2,6,7,8-tetrahydroacenaphthylen-3-ol-type polycyclic compounds efficiently. Several derivatizations of the catalytic products have also been conducted to show the potential application of this method in synthesis of polycyclic compounds., (© 2023 Wiley-VCH GmbH.)

Objective: To test the hypothesis that complete, tumor-free resection at the pancreatic neck, achieved either en-bloc or non-en-bloc (ie, revision based on intraoperative frozen section [FS] analysis), is associated with improved survival as compared with incomplete resection (IR) in pancreatic ductal adenocarcinoma., Summary Background Data: Given the likely systemic nature of pancreatic ductal adenocarcinoma, the oncologic benefit of achieving a histologically complete local resection, particularly through revision of a positive intraoperative FS at the pancreatic neck, remains controversial., Methods: Clinicopathologic and treatment data were reviewed for 986 consecutive patients with ductal adenocarcinoma at the head, neck, or uncinate process of the pancreas who underwent open pancreatectomy as well as intraoperative FS analysis between 1998 and 2012 at Massachusetts General Hospital and between 1998 and 2013 at the University of Verona. Overall survival (OS) and perioperative morbidity and mortality were compared across 3 groups: complete resection achieved en-bloc (CR-EB), complete resection achieved non-en-bloc (CR-NEB), and IR., Results: The CR-EB cohort comprised 749 (76%) patients, CR-NEB 159 patients (16%), and IR 78 patients (8%). Other than a higher incidence of vascular resection among CR-NEB and IR patients, no demographic, pathologic (eg, tumor grade, lymph node positivity, superior mesenteric artery involvement), or treatment factors (eg, neoadjuvant and adjuvant therapy use) differed between the groups. Median OS was significantly higher in patients with CR-EB (28 mo, P = 0.01) and CR-NEB resections (24 mo, P = 0.02) as compared with patients with IR resections (19 mo). After adjusting for clinicopathologic and treatment characteristics, CR-EB and CR-NEB margin status were found to be independent predictors of improved OS (relative to IR, CR-EB hazard ratio [HR] 0.65, 95% confidence interval [CI] 0.49-0.86; CR-NEB HR 0.69, 95% CI 0.50-0.96). There were no intergroup differences in perioperative morbidity and mortality, including rates of pancreatic fistula., Conclusions: For patients with ductal adenocarcinoma at the head, neck, or uncinate process of the pancreas undergoing pancreatectomy, complete tumor extirpation via either en-bloc or non-en-bloc complete resection based on FS analysis is associated with improved OS, without an associated increased perioperative morbidity or mortality., Competing Interests: The authors report no conflicts of interest., (Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Practice pattern and work environment differences may impact career advancement opportunities and contribute to the gender gap within highly competitive surgical specialties., Methods: Using a 2000-2015 New York statewide dataset, we compared board-certified pediatric surgeons by specialist case volume and Herfindahl-Hirschman Index (HHI), which quantifies surgeon focus within specialist case mix., Results: 51 pediatric surgeons were analyzed for 461 surgeon-years. Female surgeons had lower case volume (159 cases/year versus 214, p < 0.01), lower shares of specialist cases (14.1% versus 16.7%, p = 0.04), and less focused practices (HHI 0.16 versus 0.20, p = 0.03). Female surgeons' networks had fewer colleagues (7.2 versus 12.1, p < 0.01), and lower annual total (388 versus 726, p < 0.01) and specialist case volume (83 versus 159, p < 0.01), even after accounting for career length. However, female surgeons performed more cases within their networks (49% versus 36%, p = 0.04) and worked at major teaching hospitals as often as men (76% versus 76%, p = 0.97)., Conclusion: The challenges that female surgeons face may be reflective of organizational inequities that necessitate intentional scrutiny and change., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: The impact of the COVID-19 pandemic has spread beyond those infected with SARS-CoV-2. Its widespread consequences have affected cancer patients whose surgeries may be delayed in order to minimize exposure and conserve resources., Methods: Experts in each surgical oncology subspecialty were selected to perform a review of the relevant literature. Articles were obtained through PubMed searches in each cancer subtype using the following terms: delay to surgery, time to surgery, outcomes, and survival., Results: Delays in surgery > 4 weeks in breast cancer, ductal carcinoma in situ, T1 pancreatic cancer, ovarian cancer, and pediatric osteosarcoma, negatively impacted survival. Studies on hepatocellular cancer, colon cancer, and melanoma (Stage I) demonstrated reduced survival with delays > 3 months., Conclusion: Studies have shown that short-term surgical delays can result in negative impacts on patient outcomes in multiple cancer types as well as in situ carcinoma . Conversely, other cancers such as gastric cancer, advanced melanoma and pancreatic cancer, well-differentiated thyroid cancer, and several genitourinary cancers demonstrated no significant outcome differences with surgical delays.

Purpose: Isocitrate dehydrogenase ( IDH ) mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the IDH status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative radiographic data. Experimental Design: Preoperative imaging was acquired for 201 patients from the Hospital of University of Pennsylvania (HUP), 157 patients from Brigham and Women's Hospital (BWH), and 138 patients from The Cancer Imaging Archive (TCIA) and divided into training, validation, and testing sets. We trained a residual convolutional neural network for each MR sequence (FLAIR, T2, T1 precontrast, and T1 postcontrast) and built a predictive model from the outputs. To increase the size of the training set and prevent overfitting, we augmented the training set images by introducing random rotations, translations, flips, shearing, and zooming. Results: With our neural network model, we achieved IDH prediction accuracies of 82.8% (AUC = 0.90), 83.0% (AUC = 0.93), and 85.7% (AUC = 0.94) within training, validation, and testing sets, respectively. When age at diagnosis was incorporated into the model, the training, validation, and testing accuracies increased to 87.3% (AUC = 0.93), 87.6% (AUC = 0.95), and 89.1% (AUC = 0.95), respectively. Conclusions: We developed a deep learning technique to noninvasively predict IDH genotype in grade II-IV glioma using conventional MR imaging using a multi-institutional data set. Clin Cancer Res; 24(5); 1073-81. ©2017 AACR ., (©2017 American Association for Cancer Research.)

Background: High-grade gliomas with mutations in the isocitrate dehydrogenase (IDH) gene family confer longer overall survival relative to their IDH-wild-type counterparts. Accurate determination of the IDH genotype preoperatively may have both prognostic and diagnostic value. The current study used a machine-learning algorithm to generate a model predictive of IDH genotype in high-grade gliomas based on clinical variables and multimodal features extracted from conventional MRI., Methods: Preoperative MRIs were obtained for 120 patients with primary grades III (n = 35) and IV (n = 85) glioma in this retrospective study. IDH genotype was confirmed for grade III (32/35, 91%) and IV (22/85, 26%) tumors by immunohistochemistry, spectrometry-based mutation genotyping (OncoMap), or multiplex exome sequencing (OncoPanel). IDH1 and IDH2 mutations were mutually exclusive, and all mutated tumors were collapsed into one IDH-mutated cohort. Cases were randomly assigned to either the training (n = 90) or validation cohort (n = 30). A total of 2970 imaging features were extracted from pre- and postcontrast T1-weighted, T2-weighted, and apparent diffusion coefficient map. Using a random forest algorithm, nonredundant features were integrated with clinical data to generate a model predictive of IDH genotype., Results: Our model achieved accuracies of 86% (area under the curve [AUC] = 0.8830) in the training cohort and 89% (AUC = 0.9231) in the validation cohort. Features with the highest predictive value included patient age as well as parametric intensity, texture, and shape features., Conclusion: Using a machine-learning algorithm, we achieved accurate prediction of IDH genotype in high-grade gliomas with preoperative clinical and MRI features., (© The Author(s) 2016. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Bevacizumab is a humanized antibody against vascular endothelial growth factor approved for treatment of recurrent glioblastoma. There is a need to discover imaging biomarkers that can aid in the selection of patients who will likely derive the most survival benefit from bevacizumab., Methods: The aim of the study was to examine if pre- and posttherapy multimodal MRI features could predict progression-free survival and overall survival (OS) for patients with recurrent glioblastoma treated with bevacizumab. The patient population included 84 patients in a training cohort and 42 patients in a testing cohort, separated based on pretherapy imaging date. Tumor volumes of interest were segmented from contrast-enhanced T1-weighted and fluid attenuated inversion recovery images and were used to derive volumetric, shape, texture, parametric, and histogram features. A total of 2293 pretherapy and 9811 posttherapy features were used to generate the model., Results: Using standard radiographic assessment criteria, the hazard ratio for predicting OS was 3.38 (P < .001). The hazard ratios for pre- and posttherapy features predicting OS were 5.10 (P < .001) and 3.64 (P < .005) for the training and testing cohorts, respectively., Conclusion: With the use of machine learning techniques to analyze imaging features derived from pre- and posttherapy multimodal MRI, we were able to develop a predictive model for patient OS that could potentially assist clinical decision making., (© The Author(s) 2016. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)