Correlation of ADC histogram parameters from high-resolution diffusion-weighted imaging with clinical characteristics in rectal cancer: a retrospective study

doi:10.3877/cma.j.issn.2095-3224.2023.02.007

Abstract

Abstract:

Objective

To elucidate the possible associations between ADC histogram parameters obtained using readout-segmented echo-planar imaging (rs-EPI; RESOLVE) diffusion-weighted magnetic resonance imaging (DW-MRI) and several clinical features in rectal cancer (RC).

Methods

This retrospective study was performed by screening RESOLVE DWI and postoperative pathological samples of 46 patients with rectal cancer. ADC histogram analysis was performed on the RESOLVE ADC maps. The patients were grouped according to cancer grade，TN stage，and the plasma carcinoembryonic antigen (CEA) level. The correlations between each clinical feature and ADC histogram parameters were evaluated using open source software MaZda.

Results

A total of 46 patients with pathologically confirmed RC were enrolled. Spearman's correlation analysis revealed that tumors with a lower T stage corresponded to lower Perc 1% values (r=0.358, P=0.015). Nevertheless，there were no significant differences in ADC parameters between tumor differentiation grade，N stage，and plasma CEA level (all P＞0.05).

Conclusion

Our study revealed a significant correlation between the tumor T stage and preoperative Perc 1% ADC parameters alluding to a potential relationship between different pathologically confirmed T stages and histogram results. These findings suggest that ADC parameters derived from RESOLVE images may be used to assess the biological behaviors of RC.

Key words: Rectal neoplasms, Apparent diffusion coefficient, Clinical characteristics, Histogram analysis

Xin Wang, Danqi Sun, Jinyu Huang. Correlation of ADC histogram parameters from high-resolution diffusion-weighted imaging with clinical characteristics in rectal cancer: a retrospective study[J]. Chinese Journal of Colorectal Diseases(Electronic Edition), 2023, 12(02): 132-138.

/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: https://zhjzcjbdzzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-3224.2023.02.007

https://zhjzcjbdzzz.cma-cmc.com.cn/EN/Y2023/V12/I02/132

Figures/Tables 8

References 36

[1]	Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015[J]. CA Cancer J Clin, 2016, 66(2): 115-132.
[2]	刘恩瑞, 关旭, 魏然, 等. 新辅助治疗反应对局部进展期直肠癌患者预后的影响[J/OL]. 中华结直肠疾病电子杂志, 2022, 11(1): 44-53.
[3]	Curvo-Semedo L, Lambregts DM, Maas M, et al. Diffusion-weighted MRI in rectal cancer: apparent diffusion coefficient as a potential noninvasive marker of tumor aggressiveness[J]. J Magn Reson Imaging, 2012, 35(6): 1365-1371.
[4]	Kim DJ, Kim JH, Lim JS, et al. Restaging of rectal cancer with MR imaging after concurrent chemotherapy and radiation therapy[J]. Radiographics, 2010, 30(2): 503-516.
[5]	Schurink NW, Lambregts DMJ, Beets-Tan RGH. Diffusion-weighted imaging in rectal cancer: current applications and future perspectives[J]. Br J Radiol, 2019, 92(1096): 20180655.
[6]	Yang L, Qiu M, Xia C, et al. Value of high-resolution DWI in combination with texture analysis for the evaluation of tumor response after preoperative chemoradiotherapy for locally advanced rectal cancer[J]. AJR Am J Roentgenol, 2019, 212(6): 1279-1286.
[7]	Porter DA, Heidemann RM. High resolution diffusion-weighted imaging using readout-segmented echo-planar imaging, parallel imaging and a two-dimensional navigator-based reacquisition[J]. Magn Reson Med, 2009, 62(2): 468-475.
[8]	Xu XQ, Liu J, Hu H, et al. Improve the image quality of orbital 3 T diffusion-weighted magnetic resonance imaging with readout-segmented echo-planar imaging[J]. Clin Imaging, 2016, 40(4): 793-796.
[9]	Sun K, Chai W, Fu C, et al. Diffusion-weighted imaging-guided MR spectroscopy in breast lesions using readout-segmented echo-planar imaging[J]. Eur Radiol, 2016, 26(6): 1565-1574.
[10]	Tokoro H, Fujinaga Y, Ohya A, et al. Usefulness of free-breathing readout-segmented echo-planar imaging (RESOLVE) for detection of malignant liver tumors: comparison with single-shot echo-planar imaging (SS-EPI)[J]. Eur J Radiol, 2014, 83(10): 1728-1733.
[11]	Zhou Y, Yang R, Wang Y, et al. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma[J]. BMC Med Imaging, 2021, 21(1): 176.
[12]	Edge SB, Compton CC. The American joint committee on cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM[J]. Ann Surg Oncol, 2010, 17(6): 1471-1474.
[13]	Ge YX, Hu SD, Wang Z, et al. Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer[J]. Eur Radiol, 2021, 31(5): 3347-3354.
[14]	Sirin AH, Sokmen S, Unlu SM, et al. The prognostic value of tumor budding in patients who had surgery for rectal cancer with and without neoadjuvant therapy[J]. Tech Coloproctol, 2019, 23(4): 333-342.
[15]	Horvat N, Carlos Tavares Rocha C, Clemente Oliveira B, et al. MRI of rectal cancer: tumor staging, imaging techniques, and management[J]. Radiographics, 2019, 39(2): 367-387.
[16]	Horvat N, Veeraraghavan H, Khan M, et al. MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy[J]. Radiology, 2018, 287(3): 833-843.
[17]	Gürses B, Böge M, Altınmakas E, et al. Multiparametric MRI in rectal cancer[J]. Diagn Interv Radiol, 2019, 25(3): 175-182.
[18]	Kalisz KR, Enzerra MD, Paspulati RM. MRI evaluation of the response of rectal cancer to neoadjuvant chemoradiation therapy[J]. Radiographics, 2019, 39(2): 538-556.
[19]	Hu H, Jiang H, Wang S, et al. 3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer[J]. Abdom Radiol (NY), 2021, 46(1): 134-143.
[20]	Meyer HJ, Höhn AK, Woidacki K, et al. Associations between IVIM histogram parameters and histopathology in rectal cancer[J]. Magn Reson Imaging, 2021, 77: 21-27.
[21]	Hu S, Peng Y, Wang Q, et al. T2*-weighted imaging and diffusion kurtosis imaging (DKI) of rectal cancer: correlation with clinical histopathologic prognostic factors[J]. Abdom Radiol (NY), 2022, 47(2): 517-529.
[22]	Jiménez de Los Santos ME, Reyes-Pérez JA, Sandoval-Nava RM, et al. The apparent diffusion coefficient is a useful biomarker in predicting treatment response in patients with locally advanced rectal cancer[J]. Acta Radiol Open, 2020, 9(9): 2058460120957295.
[23]	Ryu KH, Kim SH, Yoon JH, et al. Diffusion-weighted imaging for evaluating lymph node eradication after neoadjuvant chemoradiation therapy in locally advanced rectal cancer[J]. Acta Radiol, 2016, 57(2): 133-141.
[24]	Wiesmueller M, Wuest W, May MS, et al. Comparison of readout-segmented echo-planar imaging and single-shot TSE DWI for cholesteatoma diagnostics[J]. AJNR Am J Neuroradiol, 2021, 42(7): 1305-1312.
[25]	Yeom KW, Holdsworth SJ, Van AT, et al. Comparison of readout-segmented echo-planar imaging (EPI) and single-shot EPI in clinical application of diffusion-weighted imaging of the pediatric brain[J]. AJR Am J Roentgenol, 2013, 200(5): W437-443.
[26]	Kim TH, Baek MY, Park JE, et al. Comparison of DWI methods in the pediatric brain: PROPELLER turbo spin-echo imaging versus readout-segmented echo-planar imaging versus single-shot echo-planar imaging[J]. AJR Am J Roentgenol, 2018, 210(6): 1352-1358.
[27]	Tang C, Lin MB, Xu JL, et al. Are ADC values of readout-segmented echo-planar diffusion-weighted imaging (RESOLVE) correlated with pathological prognostic factors in rectal adenocarcinoma?[J]. World J Surg Oncol, 2018, 16(1): 138.
[28]	Xia CC, Pu J, Zhang JG, et al. Readout-segmented echo-planar diffusion-weighted MR for the evaluation of aggressive characteristics of rectal cancer[J]. Sci Rep, 2018, 8(1): 12554.
[29]	Ahn JH, Kim SH, Son JH, et al. Added value of diffusion-weighted imaging for evaluation of extramural venous invasion in patients with primary rectal cancer[J]. Br J Radiol, 2019, 92 (1096): 20180821.
[30]	Aslan A, Inan I, Aktan A, et al. The utility of ADC measurement techniques for differentiation of low- and high-grade clear cell RCC[J]. Pol J Radiol, 2018, 83: e446-e451.
[31]	Alnaghy EA, El-Nahas MA, Sadek AG, et al. Role of diffusion-weighted magnetic resonance imaging in the differentiation of benign and malignant pulmonary lesions[J]. Pol J Radiol, 2018, 83: e569-e578.
[32]	Cong Q, Li G, Wang Y, et al. DW-MRI for esophageal squamous cell carcinoma, correlations between ADC values with histologic differentiation and VEGF expression: A retrospective study[J]. Oncol Lett, 2019, 17(3): 2770-2776.
[33]	Herneth AM, Guccione S, Bednarski M. Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization[J]. European Journal of Radiology, 2003, 45(3): 208-213.
[34]	Attenberger UI, Pilz LR, Morelli JN, et al. Multi-parametric MRI of rectal cancer - do quantitative functional MR measurements correlate with radiologic and pathologic tumor stages?[J]. Eur J Radiol, 2014, 83(7): 1036-1043.
[35]	Liu L, Liu Y, Xu L, et al. Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer[J]. J Magn Reson Imaging, 2017, 45(6): 1798-1808.
[36]	Cho WK, Choi DH, Park HC, et al. Elevated CEA is associated with worse survival in recurrent rectal cancer[J]. Oncotarget, 2017, 8(86): 105936-105941.

直方图参数	值（均数±标准差）	ICC
均值	98.3±20.9	0.943
方差	345.2±266.4	0.826
偏度	0.26±0.38	0.083
峰度	0.11±0.95	0.230
第一百分位数	61.3±19.7	0.867
第十百分位数	76.0±19.2	0.932
第五十百分位数	97.1±21.2	0.973
第九十百分位数	121.8±24.5	0.930
第九十九百分位数	142.0±25.0	0.863

直方图参数	值（均数±标准差）	ICC
均值	98.3±20.9	0.943
方差	345.2±266.4	0.826
偏度	0.26±0.38	0.083
峰度	0.11±0.95	0.230
第一百分位数	61.3±19.7	0.867
第十百分位数	76.0±19.2	0.932
第五十百分位数	97.1±21.2	0.973
第九十百分位数	121.8±24.5	0.930
第九十九百分位数	142.0±25.0	0.863

Please choose a citation manager

Content to export