Utility of Surgeon-Performed Ultrasound Assessment of the Lateral Neck for Metastatic Papillary Thyroid Cancer

Ultrasound is the recommended staging modality for papillary thyroid cancer. Surgeons proficient in US assessment of the neck and experienced in the management of papillary thyroid cancer (PTC) appear uniquely qualified to assess the lateral cervical lymph nodes for metastatic disease. Of 310 patients treated for PTC between 2000 and 2008, 109 underwent surgeon-performed ultrasound (SUS) of the lateral neck preoperatively. Fine needle aspiration was performed on suspicious lateral lymph nodes. SUS findings were compared with FNA cytology and results of postoperative imaging studies. The sensitivity and negative predictive value of SUS were 88% and 97%, respectively. Four patients were found to have missed metastatic disease within 6 months. No patient underwent a nontherapeutic neck dissection. SUS combined with US-guided FNA of suspicious lymph nodes can accurately stage PTC to reliably direct surgical management

Clinical Study Utility of Surgeon-Performed Ultrasound Assessment of the Lateral Neck for Metastatic Papillary Thyroid Cancer

Ultrasound is the recommended staging modality for papillary thyroid cancer. Surgeons proficient in US assessment of the neck and experienced in the management of papillary thyroid cancer (PTC) appear uniquely qualified to assess the lateral cervical lymph nodes for metastatic disease. Of 310 patients treated for PTC between 2000 and 2008, 109 underwent surgeon-performed ultrasound (SUS) of the lateral neck preoperatively. Fine needle aspiration was performed on suspicious lateral lymph nodes. SUS findings were compared with FNA cytology and results of postoperative imaging studies. The sensitivity and negative predictive value of SUS were 88% and 97%, respectively. Four patients were found to have missed metastatic disease within 6 months. No patient underwent a nontherapeutic neck dissection. SUS combined with US-guided FNA of suspicious lymph nodes can accurately stage PTC to reliably direct surgical management

A Visual Data Mining Tool that Facilitates Reconstruction of Transcription Regulatory Networks

Background: Although the use of microarray technology has seen exponential growth, analysis of microarray data remains a challenge to many investigators. One difficulty lies in the interpretation of a list of differentially expressed genes, or in how to plan new experiments given that knowledge. Clustering methods can be used to identify groups of genes with similar expression patterns, and genes with unknown function can be provisionally annotated based on the concept of ‘‘guilt by association’’, where function is tentatively inferred from the known functions of genes with similar expression patterns. These methods frequently suffer from two limitations: (1) visualization usually only gives access to group membership, rather than specific information about nearest neighbors, and (2) the resolution or quality of the relationships are not easily inferred. Methodology/Principal Findings: We have addressed these issues by improving the precision of similarity detection over that of a single experiment and by creating a tool to visualize tractable association networks: we (1) performed metaanalysis computation of correlation coefficients for all gene pairs in a heterogeneous data set collected from 2,145 publicly available micorarray samples in mouse, (2) filtered the resulting distribution of over 130 million correlation coefficients to build new, more tractable distributions from the strongest correlations, and (3) designed and implemented a new Web based tool (StarNet

Data sources for drug utilization research in Latin American countries—A cross-national study: DASDUR-LATAM study

Purpose: Drug utilization research (DUR) contributes to inform policymaking and to strengthen health systems. The availability of data sources is the first step for conducting DUR. However, documents that systematize these data sources in Latin American (LatAm) countries are not known. We compiled the potential data sources for DUR in the LatAm region. Methods: A network of DUR experts from nine LatAm countries was assembled and experts conducted: (i) a website search of the government, academic, and private health institutions; (ii) screening of eligible data sources, and (iii) liaising with national experts in pharmacoepidemiology (via an online survey). The data sources were characterized by accessibility, geographic granularity, setting, sector of the data, sources and type of the data. Descriptive analyses were performed. Results: We identified 125 data sources for DUR in nine LatAm countries. Thirty-eight (30%) of them were publicly and conveniently available; 89 (71%) were accessible with limitations, and 18 (14%) were not accessible or lacked clear rules for data access. From the 125 data sources, 76 (61%) were from the public sector only; 46 (37%) were from pharmacy records; 43 (34%) came from ambulatory settings and; 85 (68%) gave access to individual patient-level data. Conclusions: Although multiple sources for DUR are available in LatAm countries, the accessibility is a major challenge. The procedures for accessing DUR data should be transparent, feasible, affordable, and protocol-driven. This inventory could permit a comparison of drug utilization between countries identifying potential medication-related problems that need further exploration.Fil: Lopes, Luciane C.. University Of Sorocaba; BrasilFil: Salas, Daiana Maribel. University of Pennsylvania; Estados UnidosFil: Osorio de Castro, Claudia Garcia Serpa. Fundación Oswaldo Cruz; BrasilFil: Freitas Leal, Lisiane. McGill University; CanadáFil: Doubova, Svetlana V.. Mexican Institute of Social Security; MéxicoFil: Cañás, Martín. Universidad Nacional Arturo Jauretche; Argentina. Federación Médica de la Provincia de Buenos Aires; ArgentinaFil: Dreser, Anahi. Instituto Nacional de Salud Pública; MéxicoFil: Acosta, Angela. Universidad ICESI; ColombiaFil: Oliveira Baldoni, Andre. Federal University of São João Del-Rei; BrasilFil: de Cássia Bergamaschi, Cristiane. University of Sorocaba; BrasilFil: Marques Mota, Daniel. Brazilian Health Regulatory Agency; BrasilFil: Gómez Galicia, Diana L.. Universidad Autónoma del Estado de Morelos; MéxicoFil: Sepúlveda Viveros, Dino. Universidad de Chile; ChileFil: Narvaez Delgado, Edgard. No especifíca;Fil: da Costa Lima, Elisangela. Universidade Federal do Rio de Janeiro; BrasilFil: Chandia, Felipe Vera. Pontificia Universidad Católica de Chile; ChileFil: Ferre, Felipe. Universidade Federal de Minas Gerais; BrasilFil: Marin, Gustavo Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata; ArgentinaFil: Olmos, Ismael. State Health Services Administration; UruguayFil: Zimmermann, Ivan R.. Universidade do Brasília; BrasilFil: Fulone, Izabela. University of Sorocaba; BrasilFil: Roldán Saelzer, Juan. Instituto de Salud Pública; ChileFil: Sánchez Salgado, Juan Carlos. No especifíca;Fil: Castro Pastrana, Lucila I.. Universidad de Las Américas de Puebla; MéxicoFil: de Souza, Luiz Jupiter Carneiro. Fundación Oswaldo Cruz; BrasilFil: Machado Beltrán, Manuel. Universidad Nacional de Colombia; ColombiaFil: Tolentino Silva, Marcus. University of Sorocaba; BrasilFil: Mena, María Belén. Universidad Central del Ecuador; EcuadorFil: de França Fonteles, Marta Maria. Universidade Federal do Ceara; BrasilFil: Urtasun, Martín Alejandro. Universidad Nacional Arturo Jauretche; Argentina. Federación Médica de la Provincia de Buenos Aires; Argentin