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浙江大学学报（医学版）
Journal of ZheJiang University(Medical Science)  2017, Vol. 46 Issue (5): 468-472    DOI: 10.3785/j.issn.1008-9292.2017.10.03
    
Research progress of CT/MRI parametric response map in precision evaluation of therapeutic response of cancer patients
ZHANG Siying, CHEN Feng
Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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Abstract  

Intratumor spatial heterogeneity has been ignored in evaluating tumor therapeutic effect with conventional imaging methods. The voxel-based parametric response map (PRM) derived from CT or MRI may accurately, objectively and timely evaluate the tumor response to therapy, by comparing changes of the functional parameters before and after treatment. This approach may improve the imaging monitoring and the sensitivity of spatial resolution related to tumor changes after treatment. Thus, PRM may help to improve the treatment plan and prognosis evaluation for patients. This article reviews progress on CT/MRI PRM in precision evaluation of therapeutic response of cancer patients.

Key words： Tomography,X-ray computed      Image interpretation,computer-assisted      Neoplasms      Treatment outcome      Diagnostic imaging      Review      Magnetic resonance imaging     
Received: 22 May 2017      Published: 25 October 2017
CLC:  R445  
  R73  
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Cite this article:

ZHANG Siying, CHEN Feng. Research progress of CT/MRI parametric response map in precision evaluation of therapeutic response of cancer patients. Journal of ZheJiang University(Medical Science), 2017, 46(5): 468-472.

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http://www.zjujournals.com/xueshu/med/10.3785/j.issn.1008-9292.2017.10.03     OR     http://www.zjujournals.com/xueshu/med/Y2017/V46/I5/468


CT和磁共振参数反应图在肿瘤精准疗效评估中的研究进展

传统影像学方法在评估肿瘤疗效时忽略了肿瘤内部空间反应的异质性，而基于逐个体素分析的CT和磁共振参数反应图通过对比肿瘤治疗前与治疗后（中）的功能参数差异，能较及时、客观、准确地评价肿瘤对治疗的反应，提高了肿瘤治疗相关变化的影像监测及其空间分辨的敏感度，有助于患者治疗方案的改进和预后评估。本文主要对CT和磁共振参数反应图及其在肿瘤精准疗效评估中的研究进展进行综述。


关键词： 磁共振成像,  体层摄影术,X线计算机,  诊断显像,  治疗结果,  综述,  肿瘤,  图像解释,计算机辅助 
[[1]]   PADHANI A R, MILES K A. Multiparametric imaging of tumor response to therapy[J]. Radiology,2010,256(2):348-364.
[[2]]   THOENY H C, DE KEYZER F, CHEN F, et al. Diffusion-weighted MR imaging in monitoring the effect of a vascular targeting agent on rhabdomyosarcoma in rats[J]. Radiology,2005,234(3):756-764.
[[3]]   KANG Y, CHOI S H, KIM Y J, et al. Gliomas:Histogram analysis of apparent diffusion coefficient maps with standard-or high-b-value diffusion-weighted MR imaging-correlation with tumor grade[J]. Radiology,2011,261(3):882-890.
[[4]]   FOZOUNI N, CHOPP M, NEJAD-DAVARANIS P, et al. Characterizing brain structures and remodeling after TBI based on information content, diffusion entropy[J/OL]. PLoS One,2013,8(10):e76343.
[[5]]   BAEK H J, KIM H S, KIM N, et al. Percent change of perfusion skewness and kurtosis:a potential imaging biomarker for early treatment response in patients with newly diagnosed glioblastomas[J]. Radiology,2012,264(3):834-843.
[[6]]   MOFFAT B A, CHENEVERT T L, LAWRENCE T S, et al. Functional diffusion map:a noninvasive MRI biomarker for early stratification of clinical brain tumor response[J]. Proc Natl Acad Sci U S A,2005,102(15):5524-5529.
[[7]]   GALBÁN C J, CHENEVERT T L, MEYER C R, et al. The parametric response map is an imaging biomarker for early cancer treatment outcome[J]. Nat Med,2009,15(5):572-576.
[[8]]   GALBÁN C J, MUKHERJI S K, CHENEVERT T L, et al. A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy[J]. Transl Oncol,2009,2(3):184-190.
[[9]]   ALIC L, VAN VLIET M, VAN DIJKE C F, et al. Heterogeneity in DCE-MRI parametric maps:a biomarker for treatment response?[J]. Phys Med Biol,2011,56(6):1601-1616.
[[10]]   GALBÁN C J, CHENEVERT T L, MEYER C R, et al. Prospective analysis of parametric response map-derived MRI biomarkers:identification of early and distinct glioma response patterns not predicted by standard radiographic assessment[J]. Clin Cancer Res,2011,17(14):4751-4760.
[[11]]   CHOI S J, KIM J, SEO J, et al. Parametric response mapping of dynamic CT as an imaging biomarker to distinguish viability of hepatocellular carcinoma treated with transcatheter arterial chemoembolization[J]. Abdom Imaging,2014,39(3):518-525.
[[12]]   LI X, KANG H, ARLINGHAUSL R, et al. Analyzing spatial heterogeneity in DCE-and DW-MRI parametric maps to optimize prediction of pathologic response to neoadjuvant chemotherapy in breast cancer[J]. Transl Oncol,2014,7(1):14-22.
[[13]]   LONGO D L, DASTRÙ W, CONSOLINO L, et al. Cluster analysis of quantitative parametric maps from DCE-MRI:application in evaluating heterogeneity of tumor response to antiangiogenic treatment[J]. Magn Reson Imaging,2015,33(6):725-736.
[[14]]   CESCHIN R, KURLAND B F, ABBERBOCK S R, et al. Parametric response mapping of apparent diffusion coefficient as an imaging biomarker to distinguish pseudoprogression from true tumor progression in peptide-based vaccine therapy for pediatric diffuse intrinsic pontine glioma[J]. AJNR Am J Neuroradiol,2015,36(11):2170-2176.
[[15]]   CHOI S J, KIM J, SEO J, et al. Parametric response mapping of dynamic CT for predicting intrahepatic recurrence of hepatocellular carcinoma after conventional transcatheter arterial chemoembolization[J]. Eur Radiol,2016,26(1):225-234.
[[16]]   YOON R G, KIM H S, KIM D Y, et al. Apparent diffusion coefficient parametric response mapping MRI for follow-up of glioblastoma[J]. Eur Radiol,2016,26(4):1037-1047.
[[17]]   KICKINGEREDER P, RADBRUCH A, BURTH S, et al. MR perfusion-derived hemodynamic parametric response mapping of bevacizumab efficacy in recurrent glioblastoma[J]. Radiology,2016,279(2):542-552.
[[18]]   BAER A H, HOFF B A, SRINIVASAN A, et al. Feasibility analysis of the parametric response map as an early predictor of treatment efficacy in head and neck cancer[J]. AJNR Am J Neuroradiol,2015,36(4):757-762.
[[19]]   HAMSTRA D A, CHENEVERT T L, MOFFAT B A, et al. Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma[J]. Proc Natl Acad Sci U S A,2005,102(46):16759-16764.
[[20]]   JUST N. Improving tumour heterogeneity MRI assessment with histograms[J]. Br J Cancer,2014,111(12):2205-2213.
[[21]]   AQUINO D, DI S A L, SCOTTI A, et al. Parametric response maps of perfusion MRI may identify recurrent glioblastomas responsive to bevacizumab and irinotecan[J/OL]. PLoS One,2014,9(3):e90535.
[[22]]   LEMASSON B, GALBÁN C J, BOES J L, et al. Diffusion-weighted MRI as a biomarker of tumor radiation treatment response heterogeneity:a comparative study of whole-volume histogram analysis versus voxel-based functional diffusion map analysis[J]. Transl Oncol,2013,6(5):554-561.
[[23]]   FINK J, BORN D, CHAMBERLAINM C. Pseudoprogression:relevance with respect to treatment of high-grade gliomas[J]. Curr Treat Options Oncol,2011,12(3):240-252.
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