regression index
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2021 ◽  
Vol 161 ◽  
pp. S672-S673
Author(s):  
L. Boldrini ◽  
D. Cusumano ◽  
G. Chiloiro ◽  
P. Yadav ◽  
G. Yu ◽  
...  

2020 ◽  
Vol 10 (22) ◽  
pp. 8001
Author(s):  
Davide Cusumano ◽  
Francesco Catucci ◽  
Angela Romano ◽  
Luca Boldrini ◽  
Antonio Piras ◽  
...  

Background: Recent studies have highlighted the potentialities of a radiobiological parameter, the early regression index (ERITCP), in the treatment response prediction for rectal cancer patients treated with chemoradiotherapy followed by surgery. The aim of this study is to evaluate the performance of this parameter in predicting pathological complete response (pCR) in the context of low field MR guided radiotherapy (MRgRT) for cervical cancer (CC). Methods: A total of 16 patients affected by CC were enrolled. All patients underwent a MRgRT treatment, with prescription of 50.6 Gy in 22 fractions. A daily MR acquisition was performed at simulation and on each treatment fraction. Gross tumor volume (GTV) was delineated on the MR images acquired at the following biological effective dose (BED) levels: 14, 28, 42, 54 and 62 Gy. The ERITCP was calculated at the different BED levels and its predictive performance was quantified in terms of receiver operating characteristic (ROC) curve. Results: pCR was observed in 11/16 cases. The highest discriminative power of ERITCP was reported when a BED value of 28 Gy is reached, obtaining an area under curve (AUC) of 0.84. Conclusion: This study confirmed ERITCP as a promising response biomarker also for CC, although further studies with larger cohort of patients are recommended.


2020 ◽  
Vol 152 ◽  
pp. S298-S299
Author(s):  
S. Broggi ◽  
C. Gumina ◽  
M. Mori ◽  
G.M. Cattaneo ◽  
A. Palmisano ◽  
...  

2019 ◽  
Vol 19 ◽  
pp. 12-16 ◽  
Author(s):  
Claudio Fiorino ◽  
Paolo Passoni ◽  
Anna Palmisano ◽  
Calogero Gumina ◽  
Giovanni M. Cattaneo ◽  
...  

2019 ◽  
Vol 133 ◽  
pp. S1030-S1031
Author(s):  
C. Fiorino ◽  
P. Passoni ◽  
C. Gumina ◽  
A. Palmisano ◽  
S. Broggi ◽  
...  

2018 ◽  
Vol 128 (3) ◽  
pp. 564-568 ◽  
Author(s):  
Claudio Fiorino ◽  
Calogero Gumina ◽  
Paolo Passoni ◽  
Anna Palmisano ◽  
Sara Broggi ◽  
...  

2017 ◽  
Vol 11 (2) ◽  
pp. 10-15
Author(s):  
David Ivona ◽  
Busuioc Gabriela

Abstract In this work were evaluated the correlations between different forms of carbon dioxide naturally existing in fountain waters and the pH. Water samples were taken from five wells equally placed on the surface of Picior de Munte area in Dambovita county and were collected in each of the four seasons (spring, summer, autumn and winter). They were evaluated two forms of carbon dioxide (one was the aggressive CO2 and the other was that sequestered in bicarbonates molecules). It was used titration method based on the principle of conversion calcium carbonate in to bicarbonate form. The results showed that both forms of carbon dioxide naturally founding in underground water are related to the pH, and also are varying from a season to the other. For example, both forms of carbon dioxide significantly were influenced by pH in summer and in spring also, the proof being the values of regression index wich was 0.583 and respectively 0.679. That is showing a moderate to strong influence depending on the season. In autumn and winter, the influence of pH on carbon forms analyzed was lowest one, the regression index value being 0.309 and 0.260. Also, the influence of carbon dioxide forms on the water pH level varied also from a season to another. Thus, carbon dioxide from bicarbonates strongly influenced the water pH in spring and autumn seasons, so the regression index value was 0.783 and respectively 0.548. But in winter and summer the influence ranged from moderate to weak (R2 = 0.413 and 0.316). The aggressive carbon dioxide significantly influenced water pH in the summer season, the fact is proved by the value of regression index which was high, 0.857. In the others seasons the influence of aggressive carbon dioxide was insignificant.


2017 ◽  
Vol 26 (3) ◽  
pp. 174-180 ◽  
Author(s):  
Marcin Wirtwein ◽  
Olle Melander ◽  
Marketa Sjőgren ◽  
Michal Hoffmann ◽  
Krzysztof Narkiewicz ◽  
...  

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