scholarly journals Prediction of prostate cancer recurrence using quantitative phase imaging: Validation on a general population

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Shamira Sridharan ◽  
Virgilia Macias ◽  
Krishnarao Tangella ◽  
Jonathan Melamed ◽  
Emily Dube ◽  
...  

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Shamira Sridharan ◽  
Virgilia Macias ◽  
Krishnarao Tangella ◽  
André Kajdacsy-Balla ◽  
Gabriel Popescu


2017 ◽  
Vol 22 (3) ◽  
pp. 036015 ◽  
Author(s):  
Tan H. Nguyen ◽  
Shamira Sridharan ◽  
Virgilia Macias ◽  
Andre Kajdacsy-Balla ◽  
Jonathan Melamed ◽  
...  


2015 ◽  
Author(s):  
Tan H. Nguyen ◽  
Shamira Sridharan ◽  
Virgilia Macias ◽  
Andre K. Balla ◽  
Minh N. Do ◽  
...  




The Analyst ◽  
2021 ◽  
Author(s):  
Soorya Pradeep ◽  
Tasmia Tasnim ◽  
Huanan Zhang ◽  
Thomas A. Zangle

Quantitative phase imaging (QPI) used to quantify the mass of soma (cell bodies) and neurites as well as the rates of biomass production due to neurite maturation and formation during neural differentiation.



2020 ◽  
Vol 25 (04) ◽  
pp. 184-185
Author(s):  
Susanne Krome

Schwenck J et al. Intention-to-Treat Analysis of 68Ga-PSMA and 11C-Choline PET/CT Versus CT for Prostate Cancer Recurrence After Surgery. J Nucl Med 2019; 60: 1359–1365 15–40 % der Patienten mit einem Prostatakarzinom erleiden postoperativ ein biochemisches Rezidiv. In der retrospektiven Analyse beeinflussten die Bildgebungsverfahren die Häufigkeit einer richtigen Therapiewahl. Die Autoren empfehlen die 68Ga-PSMA-PET/CT, die die höchste Genauigkeit aufwies. Unter Berücksichtigung der Kosten für inadäquate Behandlungen entstünden keine ökonomischen Nachteile.





2007 ◽  
Vol 6 (2) ◽  
pp. 250
Author(s):  
S. Shariat ◽  
J. Karam ◽  
R. Ashfaq ◽  
P. Karakiewicz ◽  
C. Roehrborn


2005 ◽  
Vol 16 (7) ◽  
pp. 789-797 ◽  
Author(s):  
J.M. Chan ◽  
D.M. Latini ◽  
J. Cowan ◽  
J. DuChane ◽  
P.R. Carroll


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