Purpose: Multidisciplinary teams have become increasingly desirable for managing complex disease but little objective data exist to support this approach. The aim of our study was to determine the impact of a multidisciplinary clinic on the management of colorectal cancer.
Methods: Data were prospectively collected on all patients with newly diagnosed colorectal cancer referred to the multidisciplinary clinic at our institution in 2009 and compared to a control group of all patients managed outside the clinic from 2008 to 2009. Comprehensiveness of preoperative evaluation was determined by frequency of abdominal and chest CT, CEA testing, and transrectal ultrasound. Access to multimodal care was measured by frequency of oncology consultation and treatment, advanced pathology testing, genetics counseling, and trial enrollment.
Results: Two hundred eighty-eight patients met inclusion criteria; 88 patients were referred to the clinic (40 preoperative, 48 postoperative) and 200 patients were managed outside. Complete preoperative evaluation was accomplished three times more frequently in clinic patients (85 vs. 23 %, p < 0.0001) with significant improvements in all parameters. Enhanced access to multimodal therapy was demonstrated in clinic patients by increased frequency of oncology consultation (98.9 vs. 61.5 %, p < 0.0001) and treatment (62.5 vs. 41.5 %, p = 0.02), advanced pathology testing (29.6 vs. 10.6 %, p = 0.0001), and genetics counseling (6.8 vs. 1.6 %, p = 0.28). Clinic patients also received significantly higher rates of neoadjuvant therapy for stage II or greater rectal cancer (82.6 vs. 30.9 %, p = 0.0001).
Conclusions: Multidisciplinary clinic management of colorectal cancer is associated with a significantly more complete preoperative evaluation as well as improved access to multimodal therapy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00384-012-1501-z | DOI Listing |
Iowa Orthop J
January 2025
NYU Langone Orthopedic Hospital, New York, New York, USA.
Background: Optimal management of post-operative pain is a critical component of orthopedic surgical care. There is a heightened awareness of narcotic prescribing habits given the current "opioid epidemic." The lack of standardized protocols has led to increased errors, delayed access to prescribed medications, and excessive narcotic prescribing.
View Article and Find Full Text PDFSci Data
January 2025
Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
The sharing of multimodal magnetic resonance imaging (MRI) data is of utmost importance in the field, as it enables a deeper understanding of facial nerve-related pathologies. However, there is a significant lack of multi-modal neuroimaging databases specifically focused on these conditions, which hampers our comprehensive knowledge of the neural foundations of facial paralysis. To address this critical gap and propel advancements in this area, we have released the Multimodal Neuroimaging Dataset of Meige Syndrome, Facial Paralysis, and Healthy Controls (MND-MFHC).
View Article and Find Full Text PDFJMIR Form Res
January 2025
Center for Cancer Health Equity, Rutgers Cancer Institute, New Brunswick, NJ, United States.
Background: Cervical cancer disparities persist among minoritized women due to infrequent screening and poor follow-up. Structural and psychosocial barriers to following up with colposcopy are problematic for minoritized women. Evidence-based interventions using patient navigation and tailored telephone counseling, including the Tailored Communication for Cervical Cancer Risk (TC3), have modestly improved colposcopy attendance.
View Article and Find Full Text PDFGROUP ACM SIGCHI Int Conf Support Group Work
January 2025
College of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time sensor technologies. However, current solutions often require PVI to switch between multiple apps and tools for tasks like image recognition, navigation, and obstacle detection, which can hinder a seamless and efficient user experience. In this paper, we present NaviGPT, a high-fidelity prototype that integrates LiDAR-based obstacle detection, vibration feedback, and large language model (LLM) responses to provide a comprehensive and real-time navigation aid for PVI.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Protein phosphorylation plays a crucial role in regulating a wide range of biological processes, and its dysregulation is strongly linked to various diseases. While many phosphorylation sites have been identified so far, their functionality and regulatory effects are largely unknown. Here, a deep learning model MMFuncPhos, based on a multi-modal deep learning framework, is developed to predict functional phosphorylation sites.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!