The Conversion of MRI Data With Multiple b‐Values into Signature‐Like Pictures to Predict Treatment Response for Rectal Cancer

2021 ◽  
Author(s):  
Hai‐Tao Zhu ◽  
Xiao‐Yan Zhang ◽  
Yan‐Jie Shi ◽  
Xiao‐Ting Li ◽  
Ying‐Shi Sun
Keyword(s):  
Rectal Cancer ◽  
Treatment Response ◽  
B Values ◽  
Predict Treatment Response

scholarly journals Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

2020 ◽  
Author(s):  
Bing Liu ◽  
Wan-Ling Ma ◽  
Guang-Wen Zhang ◽  
Zhen Sun ◽  
Meng-Qi Wei ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Treatment Response ◽  
Cancer Patients ◽  
Predictive Ability ◽  
Roc Curves ◽  
Poor Responders ◽  
Noninvasive Technique ◽  
B Values ◽  
Predict Treatment Response

Abstract Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and to assess the predictive ability of concerning parameters. Methods: 53 patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. Tumor diffusion parameters were calculated by mono-exponential (apparent diffusion coefficient, ADC), bi-exponential (Dslow, Dfast and fp) and stretched exponential (distributed diffusion coefficient, DDC and α) models. Treatment response was assessed based on RECIST v1.1 at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations. Results: ADC-T0 (p=0.02), Dslow-T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), Dslow-T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusion: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

scholarly journals Tumour-infiltrating regulatory T cell density before neoadjuvant chemoradiotherapy for rectal cancer does not predict treatment response

Oncotarget ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. 19803-19813 ◽  
Author(s):  
Melanie J. McCoy ◽  
Chris Hemmings ◽  
Chidozie C. Anyaegbu ◽  
Stephanie J. Austin ◽  
Tracey F. Lee-Pullen ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
T Cell ◽  
Treatment Response ◽  
Cell Density ◽  
Regulatory T Cell ◽  
Neoadjuvant Chemoradiotherapy ◽  
Predict Treatment Response

scholarly journals Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

2020 ◽  
Author(s):  
Bing Liu ◽  
Wan-Ling Ma ◽  
Guang-Wen Zhang ◽  
Zhen Sun ◽  
Meng-Qi Wei ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Treatment Response ◽  
Cancer Patients ◽  
Predictive Ability ◽  
Roc Curves ◽  
Poor Responders ◽  
Noninvasive Technique ◽  
B Values ◽  
Predict Treatment Response

Abstract Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and to assess the predictive ability of concerning parameters. Methods: 53 patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3 rd day during treatment. Tumor diffusion parameters were calculated by mono-exponential (apparent diffusion coefficient, ADC), bi-exponential (D slow , D fast and f p ) and stretched exponential (distributed diffusion coefficient, DDC and α) models. Treatment response was assessed based on RECIST v1.1 at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations. Results: ADC-T0 (p=0.02), D slow -T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), D slow -T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusion: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3 rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

scholarly journals Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

2020 ◽  
Author(s):  
Bing Liu ◽  
Wan-Ling Ma ◽  
Guang-Wen Zhang ◽  
Zhen Sun ◽  
Meng-Qi Wei ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Treatment Response ◽  
Cancer Patients ◽  
Diffusion Weighted Imaging ◽  
Concurrent Chemoradiotherapy ◽  
Poor Responders ◽  
B Values ◽  
Diffusion Weighted ◽  
Predict Treatment Response

Abstract Background: To testify whether multi-b-values diffusion-weighted imaging (DWI) can be used to ultra-early predict treatment response of concurrent chemoradiotherapy (CCRT) in cervical cancer patients and to assess the predictive ability of concerning parameters.Methods: Fifty-three patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. The apparent diffusion coefficient (ADC), true diffusion coefficient (Dslow), perfusion-related pseudo-diffusion coefficient (Dfast), perfusion fraction (f), distributed diffusion coefficient(DDC) and intravoxel diffusion heterogeneity index(α) were generated by mono-exponential, bi-exponential and stretched exponential models. Treatment response was assessed based on Response Evaluation Criteria in Solid Tumors (RECIST v1.1) at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations.Results: ADC-T0 (p=0.02), Dslow-T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), Dslow-T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusions: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

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