Objective: Antimicrobial stewardship is critical for the prevention of antimicrobial resistance. A lack of prescribing guidelines makes overprescribing in veterinary dentistry likely and represents an opportunity for improvement of stewardship practices. This study described prescribing practices of residency-trained and board-certified veterinary dentists for dogs and cats undergoing dental procedures.
View Article and Find Full Text PDFThis study evaluated the effect of filling technique and rotational speed on the efficacy of sealer cement placement using the Lentulo spiral filler. Cadaveric maxillary and mandibular canine teeth (n = 74) from age and breed matched fresh-frozen adult canine cadaver heads were utilized. Following routine mechano-chemical preparation, teeth were randomly divided into 8 treatment groups with varying rotational speeds [250-2,000 revolutions per minute (RPM)] and fill techniques (backfill technique versus pumping technique).
View Article and Find Full Text PDFObjective: To evaluate the knowledge, attitudes, and practices toward antibiotic use among board-certified veterinary dentists.
Sample: 104 veterinarians board certified by the American Veterinary Dental College.
Methods: A 30-question survey was generated from an online platform and sent via email listserv to board-certified veterinary dentists.
Background: The objectives of this study were to investigate outcome prediction by measuring absolute tumor volume and regression ratios using serial magnetic resonance imaging (MRI) during radiation therapy (RT) for cervical cancer and to develop algorithms capable of identifying patients at risk of a poor therapeutic outcome.
Methods: Eighty patients with stage IB2 through IVA cervical cancer underwent 4 MRI scans: before RT (MRI1), during RT at 2 to 2.5 weeks (MRI2) at 4 to 5 weeks (MRI3), and 1 to 2 months after RT (MRI4).
Applications of mathematical modeling can improve outcome predictions of cancer therapy. Here we present a kinetic model incorporating effects of radiosensitivity, tumor repopulation, and dead-cell resolving on the analysis of tumor volume regression data of 80 cervical cancer patients (stages 1B2-IVA) who underwent radiation therapy. Regression rates and derived model parameters correlated significantly with clinical outcome (P < 0.
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