Apparent Diffusion Coefficient – Potenzial imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastasis

2009 ◽  
Vol 181 (S 01) ◽  
Author(s):  
XP Zhang
Keyword(s):  
Diffusion Coefficient ◽  
Early Detection ◽  
Apparent Diffusion Coefficient ◽  
Hepatic Metastasis ◽  
Imaging Biomarker ◽  
Response To Chemotherapy ◽  
Apparent Diffusion

scholarly journals Assessment of the percentage of apparent diffusion coefficient value changes as an early indicator of the response of colorectal hepatic metastases to chemotherapy

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Nada Gamal El-Husseiny ◽  
Sayed Mohamed Mehana ◽  
Sherif Farouk El Zawawy
Keyword(s):  
Colorectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Hepatic Metastasis ◽  
Percentage Increase ◽  
Early Assessment ◽  
Response To Chemotherapy ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Adc Values

Abstract Background Colorectal cancer is considered one of the most common causes of cancer-related deaths worldwide. We aim to evaluate the efficacy of DWI-MRI in predicting response to chemotherapy in this cohort. The study included 30 lesions in 20 biopsy proven-colorectal cancer patients with hepatic metastasis larger than 1 cm. All patients underwent both triphasic CT with intravenous contrast, pre-chemotherapy MRI (axial T2 and DW sequences) which was repeated 21 days following chemotherapy. A follow-up CT was done 2 months later. The response of the lesions was evaluated using the RESCIST criteria. On MRI, the lesions corresponding to the ones chosen on CT were identified and the apparent diffusion coefficient (ADC) values of pre- and post-chemotherapy images were recorded and correlated with the CT results. Results In the study, 17 (56.7%) of the lesions showed response to chemotherapy while 13 (43.3%) were non-responding. There was no significant difference in pretreatment ADC values between responding and non-responding lesions (p = 0.14). The mean percentage increase in ADC values in responding lesions was 42% compared to 18% in non-responding lesions (p < 0.001). Lesions that showed less than 18% increase were all found to be non-responsive Conclusion DWI-MRI has an emerging role in early assessment of early treatment response that can be detected before morphological response for patients with hepatic metastasis from colorectal cancer. Based on our study, the use of 25 % as the cutoff point of percent difference in ADC for detection of non-responding lesions proved to be successful only 21 days after the 1st chemotherapy cycle.

scholarly journals Apparent Diffusion Coefficient as an MR Imaging Biomarker of Low-Risk Ductal Carcinoma in Situ: A Pilot Study

Radiology ◽  
2011 ◽  
Vol 260 (2) ◽  
pp. 364-372 ◽  
Author(s):  
Mami Iima ◽  
Denis Le Bihan ◽  
Ryosuke Okumura ◽  
Tomohisa Okada ◽  
Koji Fujimoto ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Pilot Study ◽  
Mr Imaging ◽  
Apparent Diffusion Coefficient ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Imaging Biomarker ◽  
Apparent Diffusion

scholarly journals Apparent Diffusion Coefficient Is a Novel Imaging Biomarker of Myopathic Changes in Liver Cirrhosis

2018 ◽  
Vol 7 (10) ◽  
pp. 359 ◽  
Author(s):  
Alexey Surov ◽  
Lisa Paul ◽  
Hans Meyer ◽  
Stefan Schob ◽  
Cornelius Engelmann ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Liver Cirrhosis ◽  
Apparent Diffusion Coefficient ◽  
Meld Score ◽  
Imaging Biomarker ◽  
Control Group ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Myopathic Changes

Diffusion weighted imaging can provide information regarding tissue composition and can quantitatively characterize different pathological changes by means of apparent diffusion coefficient (ADC). The study comprised of 114 patients with liver cirrhosis—22 women and 92 men with a mean age of 56.5 ± 9.0 years. In all patients, the Model for End Stage-Liver Disease (MELD) score was calculated. Furthermore, 12 healthy persons (5 women, 7 men), mean age, 42.1 ± 16.2 years, were investigated as a control group. In all cases, magnetic resonance imaging of the liver/trunk was performed using different 3T scanners and diffusion weighted images were obtained with a multi-shot SE-EPI sequence. In all cases, polygonal regions of interest were manually drawn on the ADC maps along the contours of the iliopsoas and paravertebral muscles. The comparison of ADC values in groups was performed by Mann-Whitney-U tests. The association between ADC and MELD score was calculated by Spearman’s rank correlation coefficient. ADC values of the skeletal musculature were statistically much higher in comparison to those in the control group: 1.85 ± 0.46 × 10−3 mm2 s−1 vs. 1.23 ± 0.12 × 10−3 mm2 s−1, p = 0.001. ADC values showed statistically significant correlation with the MELD score (r = 0.473, p = 0.0001). Furthermore, ADC values differed between the subgroups with different values of the MELD score. ADC values correlated slightly with lactate dehydrogenase (LDH) (r = 0.381, p = 0.0001) and tended to correlate with C-reactive protein (CRP) (r = 0.171, p = 0.07) and alanine aminotransferase (ALAT) (r = −0.167, p = 0.076). ADC can reflect muscle changes in liver cirrhosis and shows statistically significant correlation with the MELD score. Therefore, ADC can be used as an imaging biomarker of myopathic changes in liver cirrhosis.

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