Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases.
OBJECTIVE
To determine if magnetic resonance imaging (MRI) histogram analyses can help predict response to chemotherapy in patients with colorectal hepatic metastases by using response evaluation criteria in solid tumours (RECIST1.1) as the reference standard.


METHODS
Standard MRI including diffusion-weighted imaging (b=0, 500 s/mm(2)) was performed before chemotherapy in 53 patients with colorectal hepatic metastases. Histograms were performed for apparent diffusion coefficient (ADC) maps, arterial, and portal venous phase images; thereafter, mean, percentiles (1st, 10th, 50th, 90th, 99th), skewness, kurtosis, and variance were generated. Quantitative histogram parameters were compared between responders (partial and complete response, n=15) and non-responders (progressive and stable disease, n=38). Receiver operator characteristics (ROC) analyses were further analyzed for the significant parameters.


RESULTS
The mean, 1st percentile, 10th percentile, 50th percentile, 90th percentile, 99th percentile of the ADC maps were significantly lower in responding group than that in non-responding group (p=0.000-0.002) with area under the ROC curve (AUCs) of 0.76-0.82. The histogram parameters of arterial and portal venous phase showed no significant difference (p>0.05) between the two groups.


CONCLUSIONS
Histogram-derived parameters for ADC maps seem to be a promising tool for predicting response to chemotherapy in patients with colorectal hepatic metastases.


CONCLUSIONS
• ADC histogram analyses can potentially predict chemotherapy response in colorectal liver metastases. • Lower histogram-derived parameters (mean, percentiles) for ADC tend to have good response. • MR enhancement histogram analyses are not reliable to predict response.
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China.
He-Yue
HY
Liang
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Ya-Qin
YQ
Huang
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Zhao-Xia
ZX
Yang
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Ying-Ding
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Meng-Su
MS
Zeng
Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Medical Imaging Institute, No180, Fenglin Road, Xuhui District, Shanghai, 200032, China. raoxray@163.com.
Sheng-Xiang
SX
Rao
D000328:Adult; D000368:Aged; D000970:Antineoplastic Agents / Q000627:therapeutic use; D019540:Area Under Curve; D015179:Colorectal Neoplasms / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D008113:Liver Neoplasms / Q000000981:diagnostic imaging* / Q000188:drug therapy / Q000556:secondary*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012016:Reference Values; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
D000970:Antineoplastic Agents
ADC; Colorectal hepatic metastasis; DWI-MRI; Histogram analysis; Response prediction