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1.
Ultrasound Q ; 40(1): 27-31, 2024 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-37816244

RESUMO

ABSTRACT: The location of the lateral femoral cutaneous nerve (LFCN) makes it susceptible to injury with trauma, external compression, and iatrogenic injury. The objectives of this study were to report the single-institution efficacy of LFCN visualization on ultrasound (US), define the clinical characteristics of patients with LFCN palsy, and describe sonographic appearances of LFCN abnormalities by pictorial review. A retrospective chart review of LFCN cases evaluated using US at a single institution was performed, documenting rate of visibility on US, mode of nerve injury, and US imaging findings. Nerve visibility rates on US were correlated with magnetic resonance imaging (MRI) when both modalities were used. Imaging findings were confirmed with clinical/surgical history and follow-up. Retrospective review found that 170 patients underwent US for LFCN evaluation in the last 10 years. Injury was associated with surgical intervention in 56% of cases, and perineural scarring was the most common pathology described using US. Lateral femoral cutaneous nerve was visible on US in 97% of cases; MRI visualized LFCN in 60%. Chart review showed US as an effective tool in evaluating LFCN pathology, with a higher visualization rate than MRI. Through pictorial review, the array of LFCN pathology sonographically detectable is demonstrated.


Assuntos
Nervo Femoral , Coxa da Perna , Humanos , Nervo Femoral/diagnóstico por imagem , Nervo Femoral/anatomia & histologia , Estudos Retrospectivos , Coxa da Perna/inervação , Ultrassonografia
2.
Urology ; 142: 166-173, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32277993

RESUMO

OBJECTIVE: To validate the 17-gene Oncotype DX Genomic Prostate Score (GPS) as a predictor of adverse pathology (AP) in African American (AA) men and to assess the distribution of GPS in AA and European American (EA) men with localized prostate cancer. METHODS: The study populations were derived from 2 multi-institutional observational studies. Between February 2009 and September 2014, AA and EA men who elected immediate radical prostatectomy after a ≥10-core transrectal ultrasound biopsy were included in the study. Logistic regressions, area under the receiver operating characteristics curves (AUC), calibration curves, and predictive values were used to compare the accuracy of GPS. AP was defined as primary Gleason grade 4, presence of any Gleason pattern 5, and/or non-organ-confined disease (≥pT3aN0M0) at radical prostatectomy. RESULTS: Overall, 96 AA and 76 EA men were selected and 46 (26.7%) had AP. GPS result was a significant predictor of AP (odds ratio per 20 GPS units [OR/20 units] in AA: 4.58; 95% confidence interval (CI) 1.8-11.5, P = .001; and EA: 4.88; 95% CI 1.8-13.5, P = .002). On multivariate analysis, there was no significant interaction between GPS and race (P >.10). GPS remained significant in models adjusted for either National Comprehensive Cancer Network (NCCN) risk group or Cancer of the Prostate Risk Assessment (CAPRA) score. In race-stratified models, area under the receiver operating characteristics curves for GPS/20 units was 0.69 for AAs vs 0.74 for EAs (P = .79). The GPS distributions were not statistically different by race (all P >.05). CONCLUSION: In this clinical validation study, the Oncotype DX GPS is an independent predictor of AP at prostatectomy in AA and EA men with similar predictive accuracy and distributions.


Assuntos
Testes Genéticos/estatística & dados numéricos , Próstata/patologia , Prostatectomia , Neoplasias da Próstata/diagnóstico , Fatores Raciais/estatística & dados numéricos , Negro ou Afro-Americano/estatística & dados numéricos , Idoso , Biópsia com Agulha de Grande Calibre , Genômica/métodos , Genômica/estatística & dados numéricos , Humanos , Masculino , Pessoa de Meia-Idade , Gradação de Tumores , Estudos Observacionais como Assunto , Valor Preditivo dos Testes , Prognóstico , Próstata/cirurgia , Neoplasias da Próstata/genética , Neoplasias da Próstata/cirurgia , Curva ROC , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Estados Unidos , População Branca/estatística & dados numéricos
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