354 research outputs found
Discovery of novel Ooceraea (Hymenoptera: Formicidae: Dorylinae) species with 8-segmented antennae from China
Here we describe an Ooceraea species with 8-segmented antennae for the first time. A revised key for all the known species of this genus based on the worker caste is provided
Reflex Anuria: A Complication of Hyperthermic Intraperitoneal Chemotherapy
Reflex anuria (RA) is a rare cause of abrupt reduction of urine output following trauma, irritation, or painful stimuli to the kidneys, ureters, or surrounding organs. The mechanism of RA is a reflex spasm of both ureters and/or renal arterioles. It is a well-documented complication of colorectal surgeries and gynecological surgeries which involve placement of a ureteric stent for ureteric identification and prevention of injury. RA and post-renal obstruction can both be complications of intraperitoneal hyperthermic chemotherapy (HIPEC) in patients who are undergoing surgery for colorectal cancer and peritoneal carcinomatosis. HIPEC procedure can lead to inflammation of the entire abdomen, including the ureters. This inflammation can result in hematuria that can form clots along the urinary tract and cause post-renal obstruction. The inflammation can also result in RA. It is essential to maintain high urine output during the early postoperative period to prevent clots and the ensuing post renal obstruction. It is also important to identify RA and maintain a low threshold to treat it by placing ureteric stents even in the absence of overt bilateral hydronephrosis
Patients’ Compliance to Active Surveillance (AS) Protocol in Low-risk Prostate Cancer
Aim/Introduction
Active surveillance (AS) is currently the preferred initial option for patients with low risk prostate cancer (PC). AS requires patients to undergo regular office visits with periodic testing. We measured patient compliance to NCCN guidelines for AS through review of medical record abstractions.
Methods
White and Black patients (n=221) with newly diagnosed low-risk PC on AS identified through a population-based cancer registry were surveyed at baseline (4 months after diagnosis) and at 2 year follow-up. 186 medical records reviewed and confirmed the AS protocol and compliance. Patient self-reported data were then compared with medical records data.
Results
Of the 186 patients who initially on AS, 151 remained on AS at 2 year follow-up. Overall, 55.2% (n=90) were guideline-concordant of having at least three PSA tests and one prostate biopsy during 2 year follow-up. Patients more likely guideline-concordant for PSA testing than guideline-concordant with prostate biopsy (76.7% vs. 66.9 %, respectively).
Discussion
Majority of patients on AS in this sample follow practice guidelines, but there is significant variation in the proportion of men on AS that meet guideline recommendations for follow-up PSA testing and repeat biopsy. These data highlight the need for further patients and providers education that emphasize the need of repeated testing including prostate biopsies to ensure safety of AS
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
In recent years, there has been a significant increase in focus on the
interpolation task of computer vision. Despite the tremendous advancement of
video interpolation, point cloud interpolation remains insufficiently explored.
Meanwhile, the existence of numerous nonlinear large motions in real-world
scenarios makes the point cloud interpolation task more challenging. In light
of these issues, we present NeuralPCI: an end-to-end 4D spatio-temporal Neural
field for 3D Point Cloud Interpolation, which implicitly integrates multi-frame
information to handle nonlinear large motions for both indoor and outdoor
scenarios. Furthermore, we construct a new multi-frame point cloud
interpolation dataset called NL-Drive for large nonlinear motions in autonomous
driving scenes to better demonstrate the superiority of our method. Ultimately,
NeuralPCI achieves state-of-the-art performance on both DHB (Dynamic Human
Bodies) and NL-Drive datasets. Beyond the interpolation task, our method can be
naturally extended to point cloud extrapolation, morphing, and auto-labeling,
which indicates its substantial potential in other domains. Codes are available
at https://github.com/ispc-lab/NeuralPCI.Comment: Accepted by CVPR 2023. Project Page:
https://dyfcalid.github.io/NeuralPC
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