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10.1053/j.semtcvs.2015.04.001 http://scihub22266oqcxt.onion/10.1053/j.semtcvs.2015.04.001 C4560348!4560348 !26074107     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26074107 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26074107 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Semin+Thorac+Cardiovasc+Surg 2015 ; 27 (1 ): 30-5 Nephropedia Template TP {{tp|p=26074107 |t=2015. Using Clinical Risk Models for Lung Nodule Classification |pdf=|usr=}}{{26074107 }} gab.com Text Using Clinical Risk Models for Lung Nodule Classification JO: Semin Thorac Cardiovasc Surg http://www.kidney.de/pget.php?&tw=1&pmid=26074107 #FOAvip Evaluation and diagnosis of indeterminate pulmonary nodules is a significant and increasing burden on our health care system. The advent of lung cancer screening with low-dose computed tomography only exacerbates this problem, and more surgeons will be evaluating smaller and screening discovered nodules. Multiple calculators exist that can help the clinician diagnose lung cancer at the bedside. The Prostate, Lung, Colorectal and Ovarian Cancer (PLCO) model helps to determine who needs lung cancer screening, and the McWilliams and Mayo models help to guide the primary care clinician or pulmonologist with diagnosis by estimating the probability of cancer in patients with indeterminate pulmonary nodules. The Thoracic Research Evaluation And Treatment (TREAT) model assists surgeons to determine who needs a surgical biopsy among patients referred for suspicious lesions. Additional work is needed to develop decision support tools that will facilitate the use of these models in clinical practice, to complement the clinician's judgment and enhance shared decision making with the patient at the bedside. Twit Text FOAVip Using Clinical Risk Models for Lung Nodule Classification ????Semin Thorac Cardiovasc Surg http://www.kidney.de/pget.php?&tw=1&pmid=26074107 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26074107 #FOAvip English Wikipedia <ref>{{Cite pmid|26074107 }}</ref> Using Clinical Risk Models for Lung Nodule Classification #MMPMID26074107 Deppen SA ; Grogan EL Semin Thorac Cardiovasc Surg 2015[Spr]; 27 (1 ): 30-5 PMID26074107 show ga Evaluation and diagnosis of indeterminate pulmonary nodules is a significant and increasing burden on our health care system. The advent of lung cancer screening with low-dose computed tomography only exacerbates this problem, and more surgeons will be evaluating smaller and screening discovered nodules. Multiple calculators exist that can help the clinician diagnose lung cancer at the bedside. The Prostate, Lung, Colorectal and Ovarian Cancer (PLCO) model helps to determine who needs lung cancer screening, and the McWilliams and Mayo models help to guide the primary care clinician or pulmonologist with diagnosis by estimating the probability of cancer in patients with indeterminate pulmonary nodules. The Thoracic Research Evaluation And Treatment (TREAT) model assists surgeons to determine who needs a surgical biopsy among patients referred for suspicious lesions. Additional work is needed to develop decision support tools that will facilitate the use of these models in clinical practice, to complement the clinician's judgment and enhance shared decision making with the patient at the bedside. |Humans [MESH] |Lung Neoplasms/*classification [MESH] |Multiple Pulmonary Nodules/*classification [MESH] |Risk Assessment/*methods [MESH]Using Clinical Risk Models for Lung Nodule Classification (epmc).pdf DeepDyve Pubget Overpricing