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1.
Gynecol Oncol ; 160(2): 457-463, 2021 02.
Article in English | MEDLINE | ID: mdl-33229043

ABSTRACT

OBJECTIVE: Germline genetic testing is crucial to the care of ovarian cancer patients, and as part of the guideline-based care for ovarian cancer patient's adherence to this recommendation has been low. We sought to determine whether embedding a genetic counselor (GC) within a medical and gynecologic oncology clinic would increase testing rates and improve the timeliness of testing. METHODS: Prospective cohort study of 358 ovarian cancer patients seen by medical and gynecologic oncologists between 2013 and 2015. Rates of referrals, completion of counseling, and genetic testing and timeliness of counseling were abstracted before and after a GC was embedded in the clinic in 2014. An additional year of data (2015) was collected to evaluate sustainability of the intervention. RESULTS: Between 2013 and 2015, 88-92% of women were referred for genetic testing, but in 2013 only 66% completed counseling and 61% were tested. After a GC was embedded in the clinic in 2014, more than 80% of referred women completed counseling and germline genetic testing. Time to genetic counseling also decreased from a median of 107 to 40 days, irrespective of age and cancer family history (p < 0.01). CONCLUSIONS: Embedding a GC into the workflow for ovarian cancer patients is an effective way of improving access to genetic counseling, testing rates, and the timeliness of testing.


Subject(s)
Genetic Counseling/organization & administration , Genetic Testing/statistics & numerical data , Ovarian Neoplasms/diagnosis , Patient Compliance/statistics & numerical data , Adult , Aged , Aged, 80 and over , Counselors/organization & administration , Counselors/statistics & numerical data , Female , Genetic Counseling/statistics & numerical data , Genetic Predisposition to Disease , Genetic Testing/standards , Humans , Medical History Taking , Medical Oncology/organization & administration , Medical Oncology/standards , Middle Aged , Ovarian Neoplasms/genetics , Practice Guidelines as Topic , Prospective Studies , Referral and Consultation/organization & administration , Referral and Consultation/statistics & numerical data , Time Factors , Young Adult
2.
J Biomech ; 47(3): 694-701, 2014 Feb 07.
Article in English | MEDLINE | ID: mdl-24332617

ABSTRACT

This study examined functional properties and biocompatibility of glutaraldehyde-fixed bovine articular cartilage over several weeks of incubation at body temperature to investigate its potential use as a resurfacing material in joint arthroplasty. In the first experiment, treated cartilage disks were fixed using 0.02, 0.20 and 0.60% glutaraldehyde for 24h then incubated, along with an untreated control group, in saline for up to 28d at 37°C. Both the equilibrium compressive and tensile moduli increased nearly twofold in treated samples compared to day 0 control, and remained at that level from day 1 to 28; the equilibrium friction coefficient against glass rose nearly twofold immediately after fixation (day 1) but returned to control values after day 7. Live explants co-cultured with fixed explants showed no quantitative difference in cell viability over 28d. In general, no significant differences were observed between 0.20 and 0.60% groups, so 0.20% was deemed sufficient for complete fixation. In the second experiment, cartilage-on-cartilage frictional measurements were performed under a migrating contact configuration. In the treated group, one explant was fixed using 0.20% glutaraldehyde while the apposing explant was left untreated; in the control group both explants were left untreated. From day 1 to 28, the treated group exhibited either no significant difference or slightly lower friction coefficient than the untreated group. These results suggest that a properly titrated glutaraldehyde treatment can reproduce the desired functional properties of native articular cartilage and maintain these properties for at least 28d at body temperature.


Subject(s)
Cartilage, Articular/drug effects , Cartilage, Articular/physiology , Fixatives/pharmacology , Friction/drug effects , Glutaral/pharmacology , Age Factors , Animals , Bioprosthesis , Body Temperature , Cattle , Cell Survival/drug effects , Chondrocytes/cytology , Chondrocytes/drug effects , Compressive Strength/drug effects , Materials Testing , Organ Culture Techniques , Osteoarthritis/physiopathology , Tensile Strength/drug effects , Weight-Bearing
3.
J Biomech Eng ; 135(2): 024501, 2013 Feb.
Article in English | MEDLINE | ID: mdl-23445072

ABSTRACT

Quantitative measurements of cartilage wear have been challenging, with no method having yet emerged as a standard. This study tested the hypothesis that latest-generation particle analyzers are capable of detecting cartilage wear debris generated during in vitro loading experiments that last 24 h or less, by producing measurable content significantly above background noise levels otherwise undetectable through standard biochemical assays. Immature bovine cartilage disks (4 mm diameter, 1.3 mm thick) were tested against glass using reciprocal sliding under unconfined compression creep for 24 h. Control groups were used to assess various sources of contamination. Results demonstrated that cartilage samples subjected to frictional loading produced particulate volume significantly higher than background noise and contamination levels at all tested time points (1, 2, 6, and 24 h, p < 0.042). The particle counter was able to detect very small levels of wear (less than 0.02% of the tissue sample by volume), whereas no significant differences were observed in biochemical assays for collagen or glycosaminoglycans among any of the groups or time points. These findings confirm that latest-generation particle analyzers are capable of detecting very low wear levels in cartilage experiments conducted over a period no greater than 24 h.


Subject(s)
Cartilage, Articular/cytology , Mechanical Phenomena , Particle Size , Animals , Biomechanical Phenomena , Cartilage, Articular/metabolism , Cattle , Materials Testing , Pressure , Time Factors
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