留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment

Ozioma Udochukwu Akakuru Zhoujing Zhang M. Zubair Iqbal Chengjie Zhu Yewei Zhang Aiguo Wu

Ozioma Udochukwu Akakuru, Zhoujing Zhang, M. Zubair Iqbal, Chengjie Zhu, Yewei Zhang, Aiguo Wu. Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment[J]. 机械工程学报. doi: 10.1016/j.apsb.2022.02.016
引用本文: Ozioma Udochukwu Akakuru, Zhoujing Zhang, M. Zubair Iqbal, Chengjie Zhu, Yewei Zhang, Aiguo Wu. Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment[J]. 机械工程学报. doi: 10.1016/j.apsb.2022.02.016
Ozioma Udochukwu Akakuru, Zhoujing Zhang, M. Zubair Iqbal, Chengjie Zhu, Yewei Zhang, Aiguo Wu. Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment[J]. JOURNAL OF MECHANICAL ENGINEERING. doi: 10.1016/j.apsb.2022.02.016
Citation: Ozioma Udochukwu Akakuru, Zhoujing Zhang, M. Zubair Iqbal, Chengjie Zhu, Yewei Zhang, Aiguo Wu. Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment[J]. JOURNAL OF MECHANICAL ENGINEERING. doi: 10.1016/j.apsb.2022.02.016

Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment

doi: 10.1016/j.apsb.2022.02.016
基金项目: 

This work was supported by the funding from National Natural Science Foundation of China (32025021 and 31971292), Strategic Priority Research Program of Chinese Academy of Sciences, Grant/Award Number: XDB36000000, and National Key R&

D Program of China (2019YFA0405603).

详细信息
    通讯作者:

    Aiguo Wu,E-mail:aiguo@nimte.ac.cn

  • 中图分类号: https://www.sciencedirect.com/science/article/pii/S2211383522000727/pdf?md5=a2c4830eac50bd59c278680adffff213&pid=1-s2.0-S2211383522000727-main.pdf

Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment

Funds: 

This work was supported by the funding from National Natural Science Foundation of China (32025021 and 31971292), Strategic Priority Research Program of Chinese Academy of Sciences, Grant/Award Number: XDB36000000, and National Key R&

D Program of China (2019YFA0405603).

  • 摘要: Accurately delineating tumor boundaries is key to predicting survival rates of cancer patients and assessing response of tumor microenvironment to various therapeutic techniques such as chemotherapy and radiotherapy. This review discusses various strategies that have been deployed to accurately delineate tumor boundaries with particular emphasis on the potential of chemotherapeutic nanomaterials in tumor boundary delineation. It also compiles the types of tumors that have been successfully delineated by currently available strategies. Finally, the challenges that still abound in accurate tumor boundary delineation are presented alongside possible perspective strategies to either ameliorate or solve the problems. It is expected that the information communicated herein will form the first compendious baseline information on tumor boundary delineation with chemotherapeutic nanomaterials and provide useful insights into future possible paths to advancing current available tumor boundary delineation approaches to achieve efficacious tumor therapy.

     

  • [1] Hamstra D, Galban C, Meyer C, Johnson T, Sundgren P, Tsien C, et al. Functional diffusion map as an early imaging biomarker for high-grade glioma:correlation with conventional radiologic response and overall survival. J Clin Oncol 2008;26:3387-3394
    [2] Moffat BA, Chenevert TL, Meyer CR, McKeever PE, Hall DE, Hoff BA, et al. The functional diffusion map:an imaging biomarker for the early prediction of cancer treatment outcome. Neoplasia 2006;8:259-267
    [3] Ross W, Tucker M, Ma G, Codd P. Model for and analysis of intraoperative brain tumor boundary detection based on known spectral signatures of glioblastoma. Proceedings volume 11229, advanced biomedical and clinical diagnostic and surgical guidance systems XVIII; 1122918 (2020). SPIE BiOS, 2020, San Francisco, CA, USA. Available from:https://doi.org/10.1117/12.2546329
    [4] Zhao BW, Poo MM. An interview with Mingjie Zhang:phase separation in biological systems. Nat Sci Rev 2021;8:nwab081
    [5] Brangwynne CP, Eckmann CR, Courson DS, Rybarska A, Hoege C, Gharakhani J, et al. Germline P granules are liquid droplets that localize by controlled dissolution/condensation. Science 2009;324:1729-1732
    [6] Young RM, Jamshidi A, Davis G, Sherman JH. Current trends in the surgical management and treatment of adult glioblastoma. Ann Transl Med 2015;3:121
    [7] Lim EK, Kim T, Paik S, Haam S, Huh YM, Lee K. Nanomaterials for theranostics:recent advances and future challenges. Chem Rev 2015;115:327-394
    [8] Hadjipanayis CG, Widhalm G, Stummer W. What is the surgical benefit of utilizing 5-aminolevulinic acid for fluorescence-guided surgery of malignant gliomas?. Neurosurgery 2015;77:663-673
    [9] Akakuru OU, Iqbal MZ, Saeed M, Liu C, Paunesku T, Woloschak G, et al. The transition from metal-based to metal-free contrast agents for T1 magnetic resonance imaging enhancement. Bioconjug Chem 2019;30:2264-2286
    [10] Enwereuzo OO, Akakuru OC, Uwaoma RC, Elemike EE, Akakuru OU. Self-assembled membrane-polymer nanoparticles of top-notch tissue tolerance for the treatment of gastroesophageal reflux disease. J Nanostructure Chem 2021;11:707-719
    [11] Akakuru OU, Louis H, Uwaoma R, Elemike EE, Akakuru OC. Novel highly-swellable and pH-responsive slow release formulations of clotrimazole with chitosan-g-PEG/starch microparticles. React Funct Polym 2019;135:32-43
    [12] Akakuru OU, Louis H, Akakuru OC, Eno EA. Facile fabrication of pH-responsive and swellable slow release microparticles of chlorpheniramine maleate with chitosan-starch matrices and their crosslinks. Int J Polym 2020;69:269-283
    [13] Fu S, Li G, Zang W, Zhou X, Shi K, Zhai Y. Pure drug nano-assemblies:a facile carrier-free nanoplatform for efficient cancer therapy. Acta Pharm Sin B 2021. Available from:https://doi.org/10.1016/j.apsb.2021.08.012
    [14] Jiang Z, Wang Y, Sun L, Yuan B, Tian Y, Xiang L, et al. Dual ATP and pH responsive ZIF-90 nanosystem with favorable biocompatibility and facile post-modification improves therapeutic outcomes of triple negative breast cancer in vivo. Biomaterials 2019;197:41-50
    [15] Xing Y, Jiang Z, Akakuru OU, He Y, Li A, Li J, et al. Mitochondria-targeting zeolitic imidazole frameworks to overcome platinum-resistant ovarian cancer. Colloids Surf B Biointerfaces 2020;189:110837
    [16] Jiang Z, Li Y, Wei Z, Yuan B, Wang Y, Akakuru OU, et al. Pressure-induced amorphous zeolitic imidazole frameworks with reduced toxicity and increased tumor accumulation improves therapeutic efficacy in vivo. Bioact Mater 2021;6:740-748
    [17] Balch GC, Mithani SK, Simpson JF, Kelley MC. Accuracy of intraoperative gross examination of surgical margin status in women undergoing partial mastectomy for breast malignancy. Ann Surg 2005;71:22-27
    [18] Lee J, Lee S, Bae Y. Multiple margin positivity of frozen section is an independent risk factor for local recurrence in breast-conserving surgery. J Breast Cancer 2012;15:420-426
    [19] Konstantinidis IT, Warshaw AL, Allen JN, Blaszkowsky LS, Castillo CF, Deshpande V, et al. Pancreatic ductal adenocarcinoma:is there a survival difference for R1 resections versus locally advanced unresectable tumors? What is a "true" R0 resection?. Ann Surg 2013;257:731-736
    [20] Assersohn L, Powles TJ, Ashley S, Nash AG, Neal AJ, Sacks N, et al. Local relapse in primary breast cancer patients with unexcised positive surgical margins after lumpectomy, radiotherapy and chemoendocrine therapy. Ann Oncol 1999; 10:1451-1455
    [21] Abraham SC, Fox K, Fraker D, Solin L, Reynolds C. Sampling of grossly benign breast reexcisions:a multidisciplinary approach to assessing adequacy. Am J Surg Pathol 1999;23:316-322
    [22] Sahoo S, Lester SC. Pathology of breast carcinomas after neoadjuvant chemotherapy:an overview with recommendations on specimen processing and reporting. Arch Pathol Lab Med 2009;133:633-642
    [23] Jung W, Kang E, Kim SM, Kim D, Hwang Y, Sun Y, et al. Factors associated with re-excision after breast-conserving surgery for early-stage breast cancer. J Breast Cancer 2012;15:412-419
    [24] van Dam GM, Themelis G, Crane LMA, Harlaar NJ, Pleijhuis RG, Kelder W, et al. Intraoperative tumor-specific fluorescence imaging in ovarian cancer by folate receptor-α targeting:first in-human results. Nat Med 2011;17:1315-1319
    [25] Ye Y, Bloch S, Xu B, Achilefu S. Design, synthesis, and evaluation of near infrared fluorescent multimeric RGD peptides for targeting tumors. J Med Chem 2006;49:2268-2275
    [26] Ke S, Wen X, Gurfinkel M, Charnsangavej C, Wallace S, Sevick-Muraca EM, et al. Near-infrared optical imaging of epidermal growth factor receptor in breast cancer xenografts. Cancer Res 2003;63:7870-7875
    [27] Akakuru OU, Liu C, Iqbal MZ, Dar GI, Yang G, Qian K, et al. A hybrid organo-nanotheranostic platform of superlative biocompatibility for near-infrared-triggered fluorescence imaging and synergistically enhanced ablation of tumors. Small 2020;16:2002445
    [28] Zhu B, Wu G, Robinson H, Wilganowski N, Hall MA, Ghosh SC, et al. Tumor margin detection using quantitative NIRF molecular imaging targeting EpCAM validated by far red gene reporter iRFP. Mol Imaging Biol 2013;15:560-568
    [29] Yang L, Sajja HK, Cao Z, Qian W, Bender L, Marcus AI, et al. uPAR-targeted optical imaging contrasts as theranostic agents for tumor margin detection. Theranostics 2013;4:106-118
    [30] Blasi F, Carmeliet P. uPAR:a versatile signalling orchestrator. Nat Rev Mol Cell Biol 2002;3:932-943
    [31] Wu X, Yin C, Ma J, Chai S, Zhang C, Yao S, et al. Polyoxypregnanes as safe, potent, and specific ABCB1-inhibitory pro-drugs to overcome multidrug resistance in cancer chemotherapy in vitro and in vivo. Acta Pharm Sin B 2021;11:1885-1902
    [32] Wang Y, Jiang Z, Yuan B, Tian Y, Xiang L, Li Y, et al. A Y1 receptor ligand synergized with a P-glycoprotein inhibitor improves the therapeutic efficacy of multidrug resistant breast cancer. Biomater Sci 2019;7:4748-4757
    [33] Zhang R, Xing R, Jiao T, Ma K, Chen C, Ma G, et al. Carrier-free, chemophotodynamic dual nanodrugs via self-assembly for synergistic antitumor therapy. ACS Appl Mater Interfaces 2016;8:13262-13269
    [34] Tian F, Conde J, Bao C, Chen Y, Curtin J, Cui D. Gold nanostars for efficient in vitro and in vivo real-time SERS detection and drug delivery via plasmonic-tunable Raman/FTIR imaging. Biomaterials 2016;106:87-97
    [35] Akakuru OU, Xu C, Liu C, Li Z, Xing J, Pan C, et al. Metal-free organo-theranostic nanosystem with high nitroxide stability and loading for image-guided targeted tumor therapy. ACS Nano 2021;15:3079-3097
    [36] Akakuru OU, Iqbal MZ, Liu C, Xing J, Wei Z, Jiang Z, et al. Self-assembled, biocompatible and biodegradable TEMPO-conjugated nanoparticles enable folate-targeted tumor magnetic resonance imaging. Appl Mater Today 2020;18:100524
    [37] Law AKW, Zhu H, Lam FK, Chan HY, Chan BCB, Iu PP. Tumor boundary extraction in multislice MR brain images using region and contour deformation. Proc MIAR 2001;183-187
    [38] Kubben PL, ter Meulen KJ, Schijns OE, ter Laak-Poort MP, van Overbeeke JJ, van Santbrink H. Intraoperative MRI-guided resection of glioblastoma multiforme:a systematic review. Lancet Oncol 2011;12:1062-1070
    [39] Lin Y, Yang X. Surgical resection of glioma involving eloquent brain areas:tumor boundary, functional boundary, and plasticity consideration. Glioma 2020;3:53-60
    [40] Jiang Z, Yuan B, Qiu N, Wang Y, Sun L, Wei Z, et al. Manganese-zeolitic imidazolate frameworks-90 with high blood circulation stability for MRI-guided tumor therapy. Nano-Micro Lett 2019;11:61
    [41] Jiang Z, Tian Y, Shan D, Wang Y, Gerhard E, Xia J, et al. pH protective Y1 receptor ligand functionalized antiphagocytosis BPLP-WPU micelles for enhanced tumor imaging and therapy with prolonged survival time. Biomaterials 2018;170:70-81
    [42] Cao Y, Jiang Z, Li Y, Wang Y, Yang Y, Akakuru OU, et al. Tandem post-synthetic modification of a zeolitic imidazolate framework for CXCR4-overexpressed esophageal squamous cell cancer imaging and therapy. Nanoscale 2020;12:12779-12789
    [43] Wu C, Han D, Chen T, Pen L, Zhu G, You M, et al. Building a multifunctional aptamer-based DNA nanoassembly for targeted cancer therapy. J Am Chem Soc 2013;135:18644-18650
    [44] Ponce AM, Viglianti BL, Yu D, Yarmolenko PS, Michelich CR, Woo J, et al. Magnetic resonance imaging of temperature-sensitive liposome release:drug dose painting and antitumor effects. J Natl Cancer Inst 2007;99:53-63
    [45] Tao K, Liu S, Wang L, Qiu H, Li B, Zhang M, et al. Targeted multifunctional nanomaterials with MRI, chemotherapy and photothermal therapy for the diagnosis and treatment of bladder cancer. Biomater Sci 2020;8:342-352
    [46] Wang D, Lin H, Zhang G, Si Y, Yang H, Bai G, et al. Effective pH-activated theranostic platform for synchronous magnetic resonance imaging diagnosis and chemotherapy. ACS Appl Mater Interfaces 2018;10:31114-31123
    [47] Rygh OM, Selbekk T, Torp SH, Lydersen S, Hernes TA, Unsgaard G. Comparison of navigated 3D ultrasound findings with histopathology in subsequent phases of glioblastoma resection. Acta Neurochir 2008;150:1033-1041
    [48] Solheim O, Selbekk T, Jakola AS, Unsgard G. Ultrasound-guided operations in unselected high-grade gliomas-overall results, impact of image quality and patient selection. Acta Neurochir 2010;152:1873-1886
    [49] Selbekk T, Jakola AS, Solheim O, Johansen TF, Lindseth F, Reinertsen I, et al. Ultrasound imaging in neurosurgery:approaches to minimize surgically induced image artefacts for improved resection control. Acta Neurochir 2013;155:973-980
    [50] Coburger J, Scheuerle A, Thal DR, Engelke J, Hlavac M, Wirtz CR, et al. Linear array ultrasound in low-grade glioma surgery:histology-based assessment of accuracy in comparison to conventional intraoperative ultrasound and intraoperative MRI. Acta Neurochir 2015;157:195-206
    [51] Moiyadi AV, Shetty PM, Mahajan A, Udare A, Sridhar E. Usefulness of three-dimensional navigable intraoperative ultrasound in resection of brain tumors with a special emphasis on malignant gliomas. Acta Neurochir 2013;155:2217-2225
    [52] Unsgaard G, Selbekk T, Brostrup Muller T, Ommedal S, Torp SH, Myhr G, et al. Ability of navigated 3D ultrasound to delineate gliomas and metastases-comparison of image interpretations with histopathology. Acta Neurochir 2005;147:1259-1269
    [53] Morin F, Courtecuisse H, Reinertsen I, Le Lann F, Palombi O, Payan Y, et al. Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation. Med Image Anal 2017;40:133-153
    [54] Bucholz RD, Yeh DD, Trobaugh J, McDurmont LL, Sturm CD, Baumann C, et al. The correction of stereotactic inaccuracy caused by brain shift using an intraoperative ultrasound device. Berlin:Springer Berlin Heidelberg; 1997. p. 459-466
    [55] Piotrzkowska-Wroblewska H, Dobruch-Sobczak K, Klimonda Z, Karwat P, Roszkowska-Purska K, Gumowska M, et al. Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter. PLoS One 2019;14:e0213749
    [56] Taleghamar H, Moghadas-Dastjerdi H, Czarnota GJ, Sadeghi-Naini A. Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment. Sci Rep 2021;11:14865
    [57] Rapoport N, Gao Z, Kennedy A. Multifunctional nanoparticles for combining ultrasonic tumor imaging and targeted chemotherapy. J Natl Cancer Inst 2007;99:1095-1106
    [58] Li W, Hou W, Guo X, Luo L, Li Q, Zhu C, et al. Temperature-controlled, phase-transition ultrasound imaging-guided photothermal-chemotherapy triggered by NIR light. Theranostics 2018;8:3059-3073
    [59] Mustra M, Grgic M, Rangayyan RM. Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms. Med Biol Eng Comput 2016;54:1003-1024
    [60] Sterns EE. Relation between clinical and mammographic diagnosis of breast problems and the cancer/biopsy rate. Can J Surg 1996;39:128-132
    [61] Highnam R, Brady M. A model of mammogram image formation. In:Mammographic image analysis. Netherlands:Springer Netherlands, Dordrecht, 1999;31-55
    [62] Mustra M, Grgic M. Robust automatic breast and pectoral muscle segmentation from scanned mammograms. Signal Processing 2013;93:2817-2827
    [63] Zebari DA, Zeebaree DQ, Abdulazeez A, Haron H, Hamed HNA. Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images. IEEE Access 2020; 8:203097-203116
    [64] Torrisi L, Restuccia N, Torrisi A. Study of gold nanoparticles for mammography diagnostic and radiotherapy improvements. Rep Pract Oncol Radiother 2019;24:450-457
    [65] Hsu JC, Cruz ED, Lau KC, Bouche M, Kim J, Maidment ADA, et al. Renally excretable and size-tunable silver sulfide nanoparticles for dual-energy mammography or computed tomography. Chem Mater 2019;31:7845-7854
    [66] Lu C, Chen G, Yu B, Cong H. Recent advances of low biological toxicity Ag2S QDs for biomedical application. Adv Eng Mater 2018;20:1700940
    [67] Hsu JC, Naha PC, Lau KC, Chhour P, Hastings R, Moon BF, et al. An all-in-one nanoparticle (AION) contrast agent for breast cancer screening with DEM-CT-MRI-NIRF imaging. Nanoscale 2018;10:17236-17248
    [68] Kalkanis SN, Kast RE, Rosenblum ML, Mikkelsen T, Yurgelevic SM, Nelson KM, et al. Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections. J Neurooncol 2014;116:477-485
    [69] Jermyn M, Desroches J, Mercier J, St-Arnaud K, Guiot MC, Leblond F, et al. Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans. Biomed Opt Express 2016;7:5129-5137
    [70] Lin J, Yu J, Akakuru OU, Wang X, Yuan B, Chen T, et al. Low temperature-boosted high efficiency photo-induced charge transfer for remarkable SERS activity of ZnO nanosheets. Chem Sci 2020;11:9414-9420
    [71] Lin J, Hao W, Shang Y, Wang X, Qiu D, Ma G, et al. Direct Experimental observation of facet-dependent SERS of Cu2O polyhedra. Small 2018;14:1703274
    [72] Nicolson F, Jamieson LE, Mabbott S, Plakas K, Shand NC, Detty MR, et al. Surface enhanced resonance Raman spectroscopy (SERRS) for probing through plastic and tissue barriers using a handheld spectrometer. Analyst 2018;143:5965-5973
    [73] Grytsyk N, Boubegtiten-Fezoua Z, Javahiraly N, Omeis F, Devaux E, Hellwig P. Surface-enhanced resonance Raman spectroscopy of heme proteins on a gold grid electrode. Spectrochim Acta A 2020;230:118081
    [74] Freudiger CW, Min W, Saar BG, Lu S, Holtom GR, He C, et al. Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy. Science 2008;322:1857-1861
    [75] Ploetz E, Laimgruber S, Berner S, Zinth W, Gilch P. Femtosecond stimulated Raman microscopy. Appl Phys B 2007;87:389-393
    [76] Zumbusch A, Holtom GR, Xie XS. Three-dimensional vibrational imaging by coherent anti-stokes Raman scattering. Phys Rev Lett 1999;82:4142-4145
    [77] Evans CL, Xie XS. Coherent anti-stokes Raman scattering microscopy:chemical imaging for biology and medicine. Annu Rev Anal Chem 2008;1:883-909
    [78] Auner GW, Koya SK, Huang C, Broadbent B, Trexler M, Auner Z, et al. Applications of Raman spectroscopy in cancer diagnosis. Cancer Metastasis Rev 2018;37:691-717
    [79] Pohling C, Buckup T, Pagenstecher A, Motzkus M. Chemoselective imaging of mouse brain tissue via multiplex CARS microscopy. Biomed Opt Express 2011;2:2110-2116
    [80] Freudiger CW, Pfannl R, Orringer DA, Saar BG, Ji M, Zeng Q, et al. Multicolored stain-free histopathology with coherent Raman imaging. Lab Invest 2012;92:1492-1502
    [81] Evans CL, Potma EO, Puoris'haag M, Cote D, Lin CP, Xie XS. Chemical imaging of tissue in vivo with video-rate coherent anti-Stokes Raman scattering microscopy. Proc Natl Acad Sci 2005;102:16807-16812
    [82] Saar BG, Freudiger CW, Reichman J, Stanley CM, Holtom GR, Xie XS. Video-rate molecular imaging in vivo with stimulated Raman scattering. Science 2010;330:1368
    [83] Horton NG, Wang K, Kobat D, Clark CG, Wise FW, Schaffer CB, et al. in vivo three-photon microscopy of subcortical structures within an intact mouse brain. Nat Photonics 2013;7:205-209
    [84] Fu D, Lu FK, Zhang X, Freudiger C, Pernik DR, Holtom G, et al. Quantitative chemical imaging with multiplex stimulated Raman scattering microscopy. J Am Chem Soc 2012;134:3623-3626
    [85] Li Y, Wei Q, Ma F, Li X, Liu F, Zhou M. Surface-enhanced Raman nanoparticles for tumor theranostics applications. Acta Pharm Sin B 2018;8:349-359
    [86] Harmsen S, Bedics MA, Wall MA, Huang R, Detty MR, Kircher MF. Rational design of a chalcogenopyrylium-based surface-enhanced resonance Raman scattering nanoprobe with attomolar sensitivity. Nat Commun 2015;6:6570
    [87] Hu J, Shao X, Chi C, Zhu Y, Xin Z, Sha J, et al. Surface-enhanced Raman spectroscopy of serum predicts sensitivity to docetaxel-based chemotherapy in patients with metastatic castration-resistant prostate cancer. J Innov Opt Health Sci 2021;14:2141006
    [88] Srinivasan S, Bhardwaj V, Nagasetti A, Fernandez-Fernandez A, McGoron AJ. Multifunctional surface-enhanced Raman spectroscopy-detectable silver nanoparticles combined photodynamic therapy and pH-triggered chemotherapy. J Biomed Nanotechnol 2016;12:2202-2219
    [89] He J, Dong J, Hu Y, Li G, Hu Y. Design of Raman tag-bridged core-shell Au@Cu3(BTC)2 nanoparticles for Raman imaging and synergistic chemo-photothermal therapy. Nanoscale 2019;11:6089-6100
    [90] Pal S, Ray A, Andreou C, Zhou Y, Rakshit T, Wlodarczyk M, et al. DNA-enabled rational design of fluorescence-Raman bimodal nanoprobes for cancer imaging and therapy. Nat Commun 2019;10:1926
    [91] Zhang Y, Liu Z, Thackray BD, Bao Z, Yin X, Shi F, et al. Intraoperative Raman-guided chemo-photothermal synergistic therapy of advanced disseminated ovarian cancers. Small 2018;14:1801022
    [92] Mouri R, Yoshida S, Tanaka S, Oka S, Yoshihara M, Chayama K. Evaluation and validation of computed virtual chromoendoscopy in early gastric cancer. Gastrointest Endosc 2009;69:1052-1058
    [93] Pohl J, May A, Rabenstein T, Pech O, Ell C. Computed virtual chromoendoscopy:a new tool for enhancing tissue surface structures. Endoscopy 2007;39:80-83
    [94] Osawa H, Yoshizawa M, Yamamoto H, Kita H, Satoh K, Ohnishi H, et al. Optimal band imaging system can facilitate detection of changes in depressed-type early gastric cancer. Gastrointest Endosc 2008;67:226-234
    [95] Kaise M, Kato M, Urashima M, Arai Y, Kaneyama H, Kanzazawa Y, et al. Magnifying endoscopy combined with narrow-band imaging for differential diagnosis of superficial depressed gastric lesions. Endoscopy 2009;41:310-315
    [96] Nakayoshi T, Tajiri H, Matsuda K, Kaise M, Ikegami M, Sasaki H. Magnifying endoscopy combined with narrow band imaging system for early gastric cancer:correlation of vascular pattern with histopathology (including video). Endoscopy 2004;36:1080-1084
    [97] Iizuka T, Kikuchi D, Hoteya S, Yahagi N. The acetic acid + indigocarmine method in the delineation of gastric cancer. J Gastroenterol Hepatol 2008;23:1358-1361
    [98] Kawahara Y, Takenaka R, Okada H, Kawano S, Inoue M, Tsuzuki T, et al. Novel chromoendoscopic method using an acetic acid-indigocarmine mixture for diagnostic accuracy in delineating the margin of early gastric cancers. Dig Endosc 2009;21:14-19
    [99] Toyoda H, Rubio C, Befrits R, Hamamoto N, Adachi Y, Jaramillo E. Detection of intestinal metaplasia in distal esophagus and esophagogastric junction by enhanced-magnification endoscopy. Gastrointest Endosc 2004;59:15-21
    [100] Yagi K, Aruga Y, Nakamura A, Sekine A, Umezu H. The study of dynamic chemical magnifying endoscopy in gastric neoplasia. Gastrointest Endosc 2005;62:963-960969
    [101] Lee H, Lee Y, Song C, Cho HR, Ghaffari R, Choi TK, et al. An endoscope with integrated transparent bioelectronics and theranostic nanoparticles for colon cancer treatment. Nat Commun 2015;6:10059
    [102] Garai E, Sensarn S, Zavaleta CL, Loewke NO, Rogalla S, Mandella MJ, et al. A Real-time clinical endoscopic system for intraluminal, multiplexed imaging of surface-enhanced Raman scattering nanoparticles. PLoS One 2015;10:e0123185
    [103] Williams DM, Bland P, Liu L, Farjo L, Francis IR, Meyer CR. Liver-tumor boundary detection:human observer vs computer edge detection. Invest Radiol 1989;24:768-775
    [104] Xing Y, Zhu J, Zhao L, Xiong Z, Li Y, Wu S, et al. SPECT/CT imaging of chemotherapy-induced tumor apoptosis using 99mTc-labeled dendrimer-entrapped gold nanoparticles. Drug Deliv 2018;25:1384-931393
    [105] Keshavarz M, Moloudi K, Paydar R, Abed Z, Beik J, Ghaznavi H, et al. Alginate hydrogel co-loaded with cisplatin and gold nanoparticles for computed tomography image-guided chemotherapy. J Biomater Appl 2018;33:161-169
    [106] Zheng Y TY, Bao Z, Wang H, Ren F, Guo M, Quan H, Jiang C. FePt nanoparticles as a potential X-ray activated chemotherapy agent for HeLa cells. Int J Nanomedicine 2015;10:6435-6444
    [107] Zhu J, Wang G, Alves CS, Tomas H, Xiong Z, Shen M, et al. Multifunctional dendrimer-entrapped gold nanoparticles conjugated with doxorubicin for pH-responsive drug delivery and targeted computed tomography imaging. Langmuir 2018;34:12428-12435
    [108] Gempt J, Soehngen E, Forster S, Ryang YM, Schlegel J, Zimmer C, et al. Multimodal imaging in cerebral gliomas and its neuropathological correlation. Eur J Radiol 2014;83:829-834
    [109] Sakurada K, Matsuda K, Funiu H, Kuge A, Takemura S, Sato S, et al. Usefulness of multimodal examination and intraoperative magnetic resonance imaging system in glioma surgery. Neurol Med Chir 2012;52:553-557
    [110] Tanaka Y, Nariai T, Momose T, Aoyagi M, Maehara T, Tomori T, et al. Glioma surgery using a multimodal navigation system with integrated metabolic images. J Neurosurg 2009;110:163-172
    [111] Nimsky C, Ganslandt O, Hastreiter P, Fahlbusch R. Intraoperative compensation for brain shift. Surg Neurol 2001;56:357-364
    [112] Zhou Y, Liu CH, Li J, Li Z, Zhou L, Chen K, et al. Tumor margin detection using optical biopsy techniques. Proceedings volume 8940, optical biopsy XII; 894014 (2014). SPIE BiOS, 2014, San Francisco, CA, USA. Available from:https://doi.org/10.1117/12.2038723
    [113] Aisen AM, Martel W, Braunstein EM, McMillin KI, Phillips WA, Kling TF. MRI and CT evaluation of primary bone and soft-tissue tumors. AJR Am J Roentgenol 1986;146:749-756
    [114] Zhang T, Jiang Z, Chen L, Pan C, Sun S, Liu C, et al. PCN-Fe(III)-PTX nanoparticles for MRI guided high efficiency chemo-photodynamic therapy in pancreatic cancer through alleviating tumor hypoxia. Nano Res 2020;13:273-281
    [115] Zhang T, Jiang Z, Xve T, Sun S, Li J, Ren W, et al. One-pot synthesis of hollow PDA@DOX nanoparticles for ultrasound imaging and chemo-thermal therapy in breast cancer. Nanoscale 2019;11:21759-21766
    [116] Frangioni JV, Hajjar RJ. In vivo tracking of stem cells for clinical trials in cardiovascular disease. Circulation 2004;110:3378-3383
    [117] Progatzky F, Dallman MJ, Lo Celso C. From seeing to believing:labelling strategies for in vivo cell-tracking experiments. Interface Focus 2013;3:20130001
    [118] Cores J, Caranasos TG, Cheng K. Magnetically targeted stem cell delivery for regenerative medicine. J Funct Biomater 2015;6:526-546
    [119] Li X, Zhang XN, Li XD, Chang J. Multimodality imaging in nanomedicine and nanotheranostics. Cancer Biol Med 2016;13:339-348
    [120] Sivasubramanian M, Hsia Y, Lo LW. Nanoparticle-facilitated functional and molecular imaging for the early detection of cancer. Front Mol Biosci 2014;1:15
    [121] Heywang-Kobrunner SH, Hacker A, Sedlacek S. Advantages and disadvantages of mammography screening. Breast Care 2011;6:199-207
    [122] Eberhardt K, Stiebing C, Matthaus C, Schmitt M, Popp J. Advantages and limitations of Raman spectroscopy for molecular diagnostics:an update. Expert Rev Mol Diagn 2015;15:773-787
    [123] Beattie JR, McGarvey JJ, Stitt AW. Raman spectroscopy for the detection of AGEs/ALEs. Methods Mol Biol 2013;965:297-312
    [124] Su PY. Comparison of endoscopic and external dacryocystorhinostomy for treatment of primary acquired nasolacrimal duct obstruction. Taiwan J Ophthalmol 2018;8:19-23
    [125] Amadi AJ. Endoscopic DCR vs external DCR:what's best in the acute setting?. J Ophthalmic Vis Res 2017;12:251-253
    [126] Cui J, Xu Y, Tu H, Zhao H, Wang H, Di L, et al. Gather wisdom to overcome barriers:well-designed nano-drug delivery systems for treating gliomas. Acta Pharm Sin B 2021. Available from:https://doi.org/10.1016/j.apsb.2021.08.013
    [127] Zhu Y, Yan H. Computerized tumor boundary detection using a Hopfield neural network. IEEE Trans Med Imaging 1997;16:55-67
    [128] Malkanthi C, Dissanayake MB. Brain tumor boundary segmentation of MR imaging using spatial domain image processing. Int J Innov Edu Res 2017;5:1-9
    [129] Chan F, Lam FK, Poon P, Zhu H, Chan K. Object boundary location by region and contour deformation. IEE Proc 1996;143:353-360
    [130] Ji M, Orringer DA, Freudiger CW, Ramkissoon S, Liu X, Lau D, et al. Rapid, label-free detection of brain tumors with stimulated Raman scattering microscopy. Sci Transl Med 2013;5:201ra119
    [131] Li J, Du Y, Jiang Z, Tian Y, Qiu N, Wang Y, et al. Y1 receptor ligand-based nanomicelle as a novel nanoprobe for glioma-targeted imaging and therapy. Nanoscale 2018;10:5845-5851
    [132] Rangayyan RM, El-Faramawy NM, Desautels JE, Alim OA. Measures of acutance and shape for classification of breast tumors. IEEE Trans Med Imaging 1997;16:799-810
    [133] Wu W, Wu S, Zhou Z, Zhang R, Zhang Y. 3D liver tumor segmentation in CT images using improved fuzzy C-means and graph cuts. BioMed Res Int 2017;2017:5207685
    [134] Chlebus G, Schenk A, Moltz JH, van Ginneken B, Hahn HK, Meine H. Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing. Sci Rep 2018;8:15497
    [135] Zhang YM, Shi R, Hou JC, Liu ZR, Cui ZL, Li Y, et al. Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging. J Cancer Res Clin Oncol 2017;143:51-58
    [136] Chen J, Yan K, Zhang YD, Tang Y, Xu X, Sun SW, et al. Sequential learning on liver tumor boundary semantics and prognostic biomarker mining. arXiv 2021. Available from:https://arxiv.org/abs/2103.05170v1
    [137] Yu H, Zhu GY, Xu RZ, Niu HZ, Lu Q, Li GZ, et al. Arterial embolization hyperthermia using As2O3 nanoparticles in VX2 carcinoma-induced liver tumors. PLoS One 2011;6:e17926
    [138] Zhang C, Wang W, Liu T, Wu Y, Guo H, Wang P, et al. Doxorubicin-loaded glycyrrhetinic acid-modified alginate nanoparticles for liver tumor chemotherapy. Biomaterials 2012;33:2187-2196
    [139] Xue H, Qin L, Zhang L, Li X, Wu F, Wang W, et al. Preparation of docetaxel-loaded, glycyrrhetinic acid-modified nanoparticles and their liver-targeting and antitumor activity. Exp Ther Med 2021;22:1144
    [140] Zong J, Peng H, Qing X, Fan Z, Xu W, Du X, et al. pH-responsive pluronic F127-lenvatinib-encapsulated halogenated boron-dipyrromethene nanoparticles for combined photodynamic therapy and chemotherapy of liver cancer. ACS Omega 2021;6:12331-12342
    [141] Ebadi M, Bullo S, Buskara K, Hussein MZ, Fakurazi S, Pastorin G. Release of a liver anticancer drug, sorafenib from its PVA/LDH- and PEG/LDH-coated iron oxide nanoparticles for drug delivery applications. Sci Rep 2020;10:21521
    [142] Ochiai Y, Arai S, Nakao M, Shono T, Kita H. Diagnosis of boundary in early gastric cancer. World J Gastrointest Endosc 2012;4:75-79
    [143] Davis RM, Kiss B, Trivedi DR, Metzner TJ, Liao JC, Gambhir SS. Surface-enhanced Raman scattering nanoparticles for multiplexed imaging of bladder cancer tissue permeability and molecular phenotype. ACS Nano 2018;12:9669-9679
  • 加载中
计量
  • 文章访问数:  45
  • HTML全文浏览量:  25
  • PDF下载量:  0
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-10-29
  • 修回日期:  2022-01-27
  • 录用日期:  2022-02-06
  • 网络出版日期:  2023-03-17

目录

    /

    返回文章
    返回