Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1002/lsm.22564 http://scihub22266oqcxt.onion/10.1002/lsm.22564 C5534333!5534333 !27454580     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 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\27454580 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Lasers+Surg+Med 2016 ; 48 (8 ): 774-781 Nephropedia Template TP {{tp|p=27454580 |t=2016. Intraoperative Raman spectroscopy of soft tissue sarcomas |pdf=|usr=}}{{27454580 }} gab.com Text Intraoperative Raman spectroscopy of soft tissue sarcomas JO: Lasers Surg Med http://www.kidney.de/pget.php?&tw=1&pmid=27454580 #FOAvip BACKGROUND AND OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of malignant tumors that are often treated through surgical resection. Current intraoperative margin assessment methods are limited and highlight the need for an improved approach with respect to time and specificity. Here we investigate the potential of near-infrared Raman spectroscopy for the intraoperative differentiation of STS from surrounding normal tissue. MATERIALS AND METHODS: In vivo Raman measurements at 785?nm excitation were intraoperatively acquired from subjects undergoing STS resection using a probe based spectroscopy system. A multivariate classification algorithm was developed in order to automatically identify spectral features that can be used to differentiate STS from the surrounding normal muscle and fat. The classification algorithm was subsequently tested using leave-one-subject-out cross-validation. RESULTS: With the exclusion of well-differentiated liposarcomas, the algorithm was able to classify STS from the surrounding normal muscle and fat with a sensitivity and specificity of 89.5% and 96.4%, respectively. CONCLUSION: These results suggest that single point near-infrared Raman spectroscopy could be utilized as a rapid and non-destructive surgical guidance tool for identifying abnormal tissue margins in need of further excision. Lasers Surg. Med. 48:774-781, 2016. © 2016 Wiley Periodicals, Inc. Twit Text FOAVip Intraoperative Raman spectroscopy of soft tissue sarcomas ????Lasers Surg Med http://www.kidney.de/pget.php?&tw=1&pmid=27454580 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27454580 #FOAvip English Wikipedia <ref>{{Cite pmid|27454580 }}</ref> Intraoperative Raman spectroscopy of soft tissue sarcomas #MMPMID27454580 Nguyen JQ ; Gowani ZS ; O'Connor M ; Pence IJ ; Nguyen TQ ; Holt GE ; Schwartz HS ; Halpern JL ; Mahadevan-Jansen A Lasers Surg Med 2016[Oct]; 48 (8 ): 774-781 PMID27454580 show ga BACKGROUND AND OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of malignant tumors that are often treated through surgical resection. Current intraoperative margin assessment methods are limited and highlight the need for an improved approach with respect to time and specificity. Here we investigate the potential of near-infrared Raman spectroscopy for the intraoperative differentiation of STS from surrounding normal tissue. MATERIALS AND METHODS: In vivo Raman measurements at 785?nm excitation were intraoperatively acquired from subjects undergoing STS resection using a probe based spectroscopy system. A multivariate classification algorithm was developed in order to automatically identify spectral features that can be used to differentiate STS from the surrounding normal muscle and fat. The classification algorithm was subsequently tested using leave-one-subject-out cross-validation. RESULTS: With the exclusion of well-differentiated liposarcomas, the algorithm was able to classify STS from the surrounding normal muscle and fat with a sensitivity and specificity of 89.5% and 96.4%, respectively. CONCLUSION: These results suggest that single point near-infrared Raman spectroscopy could be utilized as a rapid and non-destructive surgical guidance tool for identifying abnormal tissue margins in need of further excision. Lasers Surg. Med. 48:774-781, 2016. © 2016 Wiley Periodicals, Inc. |*Margins of Excision [MESH] |*Spectrum Analysis, Raman [MESH] |Adult [MESH] |Algorithms [MESH] |Humans [MESH] |Intraoperative Care/*methods [MESH] |Logistic Models [MESH] |Multivariate Analysis [MESH] |Sarcoma/*diagnosis/surgery [MESH] |Sensitivity and Specificity [MESH]Intraoperative Raman spectroscopy of soft tissue sarcomas (epmc).pdf DeepDyve Pubget Overpricing