Tumor Diameter and Volume Assessed by Magnetic Resonance Imaging in the Prediction of Outcome for Invasive Cervical Cancer

2001 ◽  
Vol 82 (3) ◽  
pp. 474-482 ◽  
Author(s):  
H.C. Wagenaar ◽  
J.B.M.Z. Trimbos ◽  
S. Postema ◽  
A. Anastasopoulou ◽  
R.J. van der Geest ◽  
...  
2018 ◽  
Vol 13 (1) ◽  
pp. 305-311 ◽  
Author(s):  
Jingjing Chen ◽  
Hui Hua ◽  
Jing Pang ◽  
Xianglong Shi ◽  
Weiqun Bi ◽  
...  

AbstractBackgroundTo analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted magnetic resonance imaging (DW-MRI) scans.Methods52 patients with cervical cancer were administered radiation and chemotherapy. Both MRI and DW-MRI were obtained at different stages. The ADC and EADC values, as well as the maximum tumor diameter, were measured and analyzed.ResultsWe found that the ADC value increased after treatment, and the EADC value decreased. Changes in the calculated ADC occurred earlier than the morphologic changes of the tumors. A negative correlation was detected between reduced rates in the maximum tumor diameter two months after treatment and pretreatment ADC value (r = –0.658, P < 0.05). An ROC curve and nonlinear regression analysis showed that the formula, y = (1525500.122x2 – 4689.962x + 3.482) × 100%, can be used to calculate the percentage of complete remission after treatment according to the pretreatment ADC value.ConclusionOur data suggest that pretreatment ADC and EADC values are predictive of the efficacy of radiation and chemotherapy. Both ADC and EADC values during treatment were instrumental in early monitoring and dynamic observation.


2013 ◽  
Vol 128 (3) ◽  
pp. 449-453 ◽  
Author(s):  
Elisabeth Epstein ◽  
Antonia Testa ◽  
Adrius Gaurilcikas ◽  
Alessia Di Legge ◽  
Liveke Ameye ◽  
...  

Author(s):  
Sahar Mahmoud Abd elsalam ◽  
Omnia Mokhtar ◽  
Lamia Adel ◽  
Reda Hassan ◽  
Manal Ibraheim ◽  
...  

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