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• Clinical Article •
The value of minimum apparent diffusion coefficient in evaluating the invasiveness of hepatocellular carcinoma
JING Mengyuan  CAO Yuntai  DENG Juan  ZHANG Peng  ZHANG Jing  ZHANG Bin  ZHOU Junlin 

Cite this article as: Jing MY, Cao YT, Deng J, et al. The value of minimum apparent diffusion coefficient in evaluating the invasiveness of hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2021, 12(5): 16-20. DOI:10.12015/issn.1674-8034.2021.05.004.


[Abstract] objective To evaluate the invasiveness of hepatocellular carcinoma (HCC) by using the minimum apparent diffusion coefficient (ADCmin). Materials andMethods The 85 patients with HCC confirmed by pathology and examined by MRI diffusion weighted imaging (DWI) before operation from January 2015 to October 2020 were analyzed retrospectively.The clinical and pathological information were recorded and the tumor ADCmin was measured on ADC images. Statistical methods were used to evaluate the correlation between clinical information, ADCmin and microvascular invasion (MVI), histological differentiation and Ki-67 expression. The independent factors related to the invasiveness of HCC were screened by binary Logistic regression, and the diagnostic efficiency was evaluated by ROC curve.Results The size of tumor was related to HCC MVI and the histological differentiation (P＜0.05). The difference of ADCmin between the two groups in MVI were statistically significant (0.87±0.15 vs. 1.14±0.24, P＜0.05). The AUC value of MVI judged by ADCmin was 0.866 (95% CI, 0.770—0.962). The difference of ADCmin between the two groups in histological differentiation were statistically significant (0.91±0.18 vs. 1.09±0.25, P＜0.05), and the AUC value of using ADCmin to predict the degree of HCC differentiation was 0.739 (95% CI, 0.608—0.870). There were significant difference in ADCmin between the two groups of Ki-67 (1.19±0.24 vs. 1.03±0.25, P＜0.05). The AUC value of Ki-67 predicted by ADCmin was 0.723 (95% CI, 0.576—0.871).Conclusion This study showed that ADCmin had great clinical value in preoperative non-invasive evaluation of the invasiveness of HCC and can greatly improve the prognosis of patients.
[Keywords] hepatocellular carcinoma；magnetic resonance imaging；apparent diffusion coefficient；microvascular invasion；histological differentiation；Ki-67

JING Mengyuan1, 2, 3   CAO Yuntai1, 2, 3   DENG Juan1, 2, 3   ZHANG Peng4   ZHANG Jing1, 2, 3   ZHANG Bin1, 2, 3   ZHOU Junlin1, 2, 3*  

1 Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China

2 Second Clinical School, Lanzhou University, Lanzhou 730030, China

3 Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China

4 Department of Pathology, Lanzhou University Second Hospital, Lanzhou 730030, China

Zhou JL, E-mail: lzuzjl601@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS This work was part of National Natural Science Foundation of China (No. 81772006).
Received  2020-12-07
Accepted  2021-03-25
DOI: 10.12015/issn.1674-8034.2021.05.004
Cite this article as: Jing MY, Cao YT, Deng J, et al. The value of minimum apparent diffusion coefficient in evaluating the invasiveness of hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2021, 12(5): 16-20. DOI:10.12015/issn.1674-8034.2021.05.004.

1
Liu Z, Mao X, Jiang Y, et al. Changing trends in the disease burden of primary liver cancer caused by specific etiologies in China[J]. Cancer Medicine, 2019, 8(12): 5787-5799. DOI: 10.1002/cam4.2477.
2
Yang P, Si A, Yang J, et al. A wide-margin liver resection improves long-term outcomes for patients with HBV-related hepatocellular carcinoma with microvascular invasion[J]. Surgery, 2019, 165(4): 721-730. DOI: 10.1016/j.surg.2018.09.016.
3
Yang C, Su H, Liao X, et al. Marker of proliferation Ki-67 expression is associated with transforming growth factor beta 1 and can predict the prognosis of patients with hepatic B virus-related hepatocellular carcinoma[J]. Cancer Manag Res, 2018, 10: 679-696. DOI: 10.2147/cmar.S162595.
4
Li HH, Qi LN, Ma L, et al. Effect of KI-67 positive cellular index on prognosis after hepatectomy in barcelona clinic liver cancer stage A and B hepatocellular carcinoma with microvascular invasion[J]. Onco Targets Ther, 2018, 11: 4747-4754. DOI: 10.2147/ott.S165244.
5
Chen X, Fang M, Dong D, et al. A radiomics signature in preoperative predicting degree of tumor differentiation in patients with non-small cell lung cancer[J]. Acad Radiol, 2018, 25(12): 1548-1555. DOI: 10.1016/j.acra.2018.02.019.
6
Court C, Harlander-Locke M, Markovic D, et al. Determination of hepatocellular carcinoma grade by needle biopsy is unreliable for liver transplant candidate selection[J]. Liver Transplant, 2017, 23(9): 1123-1132. DOI: 10.1002/lt.24811.
7
Russo F, Imondi A, Lynch E, et al. When and how should we perform a biopsy for HCC in patients with liver cirrhosis in 2018? A review[J]. Digestive Liver Dis, 2018, 50(7): 640-646. DOI: 10.1016/j.dld.2018.03.014.
8
Zhang H, Pan J, Shen Y, et al. High signal renal tumors on DWI: the diagnostic value of morphological characteristics[J]. Abdom Radiol, 2019, 44(1): 239-246. DOI: 10.1007/s00261-018-1728-4.
9
Weller A, Papoutsaki M, Waterton J, et al. Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability[J]. Eur Radiol, 2017, 27(11): 4552-4562. DOI: 10.1007/s00330-017-4828-6.
10
Zhao J, Li X, Zhang K, et al. Prediction of microvascular invasion of hepatocellular carcinoma with preoperative diffusion-weighted imaging: a comparison of mean and minimum apparent diffusion coefficient values[J]. Medicine, 2017, 96(33): e7754. DOI: 10.1097/md.0000000000007754.
11
Kato F, Kudo K, Yamashita H, et al. Predicting metastasis in clinically negative axillary lymph nodes with minimum apparent diffusion coefficient value in luminal A-like breast cancer[J]. Breast Cancer, 2019, 26: 628-636. DOI: 10.1007/s12282-019-00969-0.
12
Maynard J, Okuchi S, Wastling S, et al. World Health Organization Grade II/III Glioma Molecular Status: prediction by MRI morphologic features and apparent diffusion coefficient[J]. Radiology, 2020, 296(1): 111-121. DOI: 10.1148/radiol.2020191832.
13
Lee S, Kim S, Hwang J, et al. Pre-operative ADC predicts early recurrence of HCC after curative resection[J]. Eur Radiol, 2019, 29(2): 1003-1012. DOI: 10.1007/s00330-018-5642-5.
14
Li XB, Zhang K, Shi Yet al. Correlations between the minimum and mean apparent diffusion coefficient values of hepatocellular carcinoma and tumor grade[J]. J Magn Reson Imaging, 2016, 44: 1442-1447. DOI: 10.1002/jmri.25323.
15
Wang Q, Lei D, Yuan Y, et al. Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis[J]. Medicine, 2020, 99(8): e19254. DOI: 10.1097/md.0000000000019254.
16
Chou C, Chen R, Lin W, et al. Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation[J]. Am J Roentgenol, 2014, 203(3): W253-259. DOI: 10.2214/ajr.13.10595.
17
Li Y, Chen J, Weng S, et al. Small hepatocellular carcinoma: using MRI to predict histological grade and Ki-67 expression[J]. Clin Radiol, 2019, 74(8): 653.e651-653. e659. DOI: 10.1016/j.crad.2019.05.009.
18
Yutaka N, Osamu N, Masatoshi T, et al. Portal vein invasion and intrahepatic micrometastasis in small hepatocellular carcinoma by gross type[J]. Hepatol Res, 2003, 26: 142-147. DOI: 10.1016/s1386-6346(03)00007-x.
19
Wu D, Tan M, Zhou M, et al. Liver computed tomographic perfusion in the assessment of microvascular invasion in patients with small hepatocellular carcinoma[J]. Invest Radiol, 2015, 50(4): 188-194. DOI: 10.1097/rli.0000000000000098.
20
Zhang Q, Wang Y, Zhao XX. Correlation between apparent diffusion coefficient and histological differentiation and microvascular invasion of hepatocellular carcinoma[J]. J Clin Radiol, 2019, 7(38): 1234-1248. DOI: 10.13437/j.cnki.jcr.2019.07.012.
21
Huang Z, Xu X, Meng X, et al. Correlations between ADC values and molecular markers of Ki-67 and HIF-1alpha in hepatocellular carcinoma[J]. Eur J Radiol, 2015, 84(12): 2464-2469. DOI: 10.1016/j.ejrad.2015.09.013.
22
Kim JG, Jang KM, Min GS, et al. Questionable correlation of the apparent diffusion coefficient with the histological grade and microvascular invasion in small hepatocellular carcinoma[J]. Clin Radiol, 2019, 74(5): 406e19-406e27. DOI: 10.1016/j.crad.2019.01.019.
23
Yang W, Qiang J, Tian H, et al. Minimum apparent diffusion coefficient for predicting lymphovascular invasion in invasive cervical cancer[J]. J Magn Reson Imaging, 2017, 45(6): 1771-1779. DOI: 10.1002/jmri.25542.
24
Meng X, Xia W, Xie P, et al. Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer[J]. Eur Radiol, 2019, 29(6): 3200-3209. DOI: 10.1007/s00330-018-5763-x.
25
Xu P, Zeng M, Liu K, et al. Microvascular invasion in small hepatocellular carcinoma: is it predictable with preoperative diffusion- weighted imaging?Journal of gastroenterology and hepatology, 2014, 29(2): 330-336[J]. DOI: 10.1111/jgh.12358.
26
Nakanishi M, Chuma M, Hige S, et al. Relationship between diffusion-weighted magnetic resonance imaging and histological tumor grading of hepatocellular carcinoma[J]. Ann Surg Oncol, 2012, 19(4): 1302-1309. DOI: 10.1245/s10434-011-2066-8.

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