陳潔 綜述 黎樂(lè)群 審校
(廣西醫(yī)科大學(xué)附屬腫瘤醫(yī)院 肝膽外科,廣西 南寧 530021)
肝細(xì)胞癌(HCC)是世界上最常見(jiàn)的惡性腫瘤之一,特別是我國(guó)廣西地區(qū),腫瘤致死率高居第三位[1],該腫瘤具有侵襲肝內(nèi)血管的傾向,導(dǎo)致肝內(nèi)和肝外轉(zhuǎn)移[2]。外科手術(shù)治療和肝移植(LT)是目前最主要的HCC治療手段[3],然而,手術(shù)切除和肝移植的預(yù)后仍無(wú)法達(dá)到預(yù)期效果,其中最需要克服的難題就是術(shù)后復(fù)發(fā)[4]。手術(shù)切除后、肝移植后5年復(fù)發(fā)率分別高達(dá)70%、35%[5]。大血管侵犯和微血管侵犯(microvascular invasion,MVI)均與腫瘤分期和疾病進(jìn)展有關(guān)。通常大血管腫瘤侵犯可通過(guò)影像學(xué)檢查確診[6]。MVI是HCC發(fā)生發(fā)展過(guò)程中出現(xiàn)的一種病理征象,是腫瘤早期轉(zhuǎn)移的標(biāo)志[7]。但MVI的臨床意義常被低估,認(rèn)為MVI是一種較為溫和的腫瘤侵襲形式,隨著對(duì)MVI的研究認(rèn)識(shí)和其對(duì)預(yù)后的不良影響,MVI已經(jīng)成為HCC研究的熱門話題,而目前僅能通過(guò)術(shù)后標(biāo)本的組織病理學(xué)檢查診斷[8],這對(duì)于術(shù)前治療方案的制定具有滯后性。因此,術(shù)前合理預(yù)測(cè)MVI對(duì)HCC患者個(gè)體化治療方案的制定及其遠(yuǎn)期預(yù)后的評(píng)估具有重要意義[9]。本文綜合近年來(lái)對(duì)HCC術(shù)前預(yù)測(cè)MVI的文獻(xiàn)報(bào)道,予以綜述。
MVI的診斷標(biāo)準(zhǔn)尚未統(tǒng)一。Sumie等[10]指出只要在門靜脈或肝靜脈系統(tǒng)發(fā)現(xiàn)腫瘤細(xì)胞即可診斷為MVI。不過(guò),他們沒(méi)有考慮到膽管和淋巴管侵犯以及血管侵犯到腫瘤邊緣的距離。目前,較多學(xué)者[11]對(duì)MVI定義為顯微鏡下于內(nèi)皮細(xì)胞襯覆的血管腔內(nèi)見(jiàn)到癌細(xì)胞巢團(tuán)的觀點(diǎn)表示認(rèn)可。MVI是一種由多因素參與導(dǎo)致的復(fù)雜的生物過(guò)程,包括HCC與微環(huán)境的相互作用,以及與宿主狀態(tài)(免疫、內(nèi)分泌和代謝等)[12]。目前機(jī)制尚未明確。
大量研究[13]表明MVI可反映HCC早期轉(zhuǎn)移能力和侵襲程度,并且可作為HCC預(yù)后的獨(dú)立危險(xiǎn)因素。在HCC合并MVI時(shí),患者總生存率及3年無(wú)復(fù)發(fā)率都將縮短[3,14]。近年來(lái)對(duì)MVI的研究越來(lái)越具體化,主要集中在MVI多發(fā)位置、對(duì)微血管侵犯程度以及微血管數(shù)目等[15-17];Parfitt等[18]研究甚至將淋巴管侵犯也歸納為MVI。隨著對(duì)MVI研究范圍的擴(kuò)展,目前報(bào)道的HCC的MVI發(fā)生率明顯升高。Lim等[19]通過(guò)對(duì)225例HCC切除術(shù)患者的調(diào)查研究發(fā)現(xiàn),MVI陽(yáng)性組中位復(fù)發(fā)時(shí)間(12.0個(gè)月)顯著低于MVI陰性組(42.2個(gè)月);Hou等[20]研究結(jié)果表明,MVI不僅是限制首次術(shù)后生存的危險(xiǎn)因素(HR=2.62,95% CI為2.15~3.19),再次手術(shù)也具有同樣重要作用(2次術(shù)前MVI均陽(yáng)性:HR=4.79,95% CI=2.54~9.53;首次術(shù)前MVI陰性、再次復(fù)發(fā)術(shù)前MVI陽(yáng)性:HR=4.02,95% CI=2.27~7.13)。<2 cm早期小HCC通常認(rèn)為手術(shù)切除的預(yù)后效果較好[21],但Yamashita等[22]研究149例<2 cm早期小HCC中發(fā)現(xiàn)43例合并MVI的患者接受HCC切除后,1年復(fù)發(fā)率為23.3%,顯著大于不伴有MVI的復(fù)發(fā)率(7.5%)。Roayaie等[23]研究證實(shí)擴(kuò)大手術(shù)切緣(>1 cm)可以減少HCC伴有MVI患者的腫瘤復(fù)發(fā)。Zhou等[24]研究也表明肝解剖切除可見(jiàn)降低HCC并MVI患者的術(shù)后復(fù)發(fā)率。因此,如果術(shù)前可以確定MVI的風(fēng)險(xiǎn),可以術(shù)前做出解剖切除或非解剖切除以及手術(shù)切緣的寬度的合理選擇,在術(shù)中更具針對(duì)性的外科治療策略,對(duì)提高生存時(shí)間具有重要價(jià)值[25-26]。
目前,MVI的診斷主要依靠手術(shù)標(biāo)本的病理檢查。術(shù)前肝臟穿刺活檢診斷MVI準(zhǔn)確性低,不確定因素多,且屬于有創(chuàng)檢查,患者接受度差。由此導(dǎo)致的結(jié)果就是,由于無(wú)法依據(jù)MVI信息制定擴(kuò)大肝切緣的治療方案,具有明顯的滯后性,使患者失去延長(zhǎng)生存期的機(jī)會(huì)[27]。同時(shí),MVI常發(fā)生于晚期HCC患者,而在早期HCC中發(fā)生率相對(duì)較低,然而早期HCC才是接受根治性治療的最佳適應(yīng)指征,因此術(shù)前預(yù)測(cè)早期HCC MVI有著更大的臨床應(yīng)用價(jià)值。隨著診療設(shè)備及醫(yī)學(xué)理論的發(fā)展,MVI的術(shù)前預(yù)測(cè)也得到巨大進(jìn)步,目前比較公認(rèn)的檢測(cè)方法主要為影像學(xué)、血清學(xué)及信號(hào)通路檢查。
CT是最早用于預(yù)測(cè)HCCMVI的影像學(xué)方法之一。Eguch等[28]研究表明,HCC瘤灶單節(jié)結(jié)型較之于其他分型HCC(多節(jié)結(jié)型或單結(jié)節(jié)結(jié)外生長(zhǎng)型)發(fā)生MVI的風(fēng)險(xiǎn)率更低。張俊等[29]研究進(jìn)一步指出,HCC的常見(jiàn)CT征象(腫瘤最大直徑、癌組織邊緣強(qiáng)化程度、腫瘤包膜及腫瘤形態(tài))中,只有腫瘤形態(tài)對(duì)預(yù)測(cè)MVI有意義,其診斷的靈敏度、特異度、準(zhǔn)確率分別為76.7%、75.0%、76.0%。此外,李文柱團(tuán)隊(duì)[30]還驗(yàn)證了能譜CT對(duì)預(yù)測(cè)微血管侵犯的可行性,該研究指出動(dòng)脈期標(biāo)準(zhǔn)碘基值(NIC-a)與HCC微血管密度(MVD)呈中度相關(guān)(r=0.507,P<0.05)。楊創(chuàng)勃等[31]也發(fā)現(xiàn)能譜CT掃描對(duì)評(píng)估微血管侵犯具有重要價(jià)值,進(jìn)一步證實(shí)能譜CT碘基值與微血管侵犯的相關(guān)性。Banerjee等[5]研究更是將CT對(duì)MVI的預(yù)測(cè)延生到分子影像學(xué)層面,該實(shí)驗(yàn)通過(guò)CT靶向性MVI高危基因(91-gene)來(lái)評(píng)估靜脈侵潤(rùn)程度(RVI),并利用RVI診斷MVI的準(zhǔn)確率、靈敏度、特異度分別為89%、76%、94%,RVI陰性組3年HCC切除術(shù)后無(wú)復(fù)發(fā)率為62%,較之RVI陽(yáng)性組(無(wú)復(fù)發(fā)率27%)高出1倍以上??梢?jiàn),CT對(duì)HCC形態(tài)學(xué)的判斷以及MVI分子標(biāo)記物的示蹤,為MVI的預(yù)測(cè)提供了一個(gè)新的思路,在臨床醫(yī)師制定HCC治療策略時(shí)應(yīng)該特別注意。
MRI因其較高的軟組織分辨率及功能成像的日漸成熟,該技術(shù)用于MVI的預(yù)測(cè)的研究也得到較大進(jìn)展。Chandarna等認(rèn)為[32],HCC瘤灶形態(tài)的不規(guī)則是預(yù)測(cè)MVI得唯一指標(biāo),包括病理及AFP在內(nèi)的其他臨床特征都與MVI不相關(guān)。MRI對(duì)HCCMVI的預(yù)測(cè)除了依據(jù)瘤灶形態(tài)學(xué)指征外,MRI功能學(xué)成像同樣具有重要診斷價(jià)值。Xu等[33]利用磁共振擴(kuò)散加權(quán)成像對(duì)HCC微血管侵犯的研究結(jié)果表明,以表觀彌散系數(shù)(ADC)<1.227×10-3s/mm2作為最佳診斷閾值時(shí),其靈敏度、特異度分別為66.7%、78.6%。Renzulli等[34]研究表明,同時(shí)存在HCC的3個(gè)危險(xiǎn)征象(腫瘤邊緣不光整、邊緣強(qiáng)化以及靜脈侵潤(rùn))時(shí),在不計(jì)腫瘤大小的情況下,其診斷陽(yáng)性預(yù)測(cè)值可達(dá)95%。由此可知,MRI對(duì)HCCMVI的預(yù)測(cè)同樣具有重要價(jià)值。
該方法主要是檢測(cè)血清中某種HCC特異性抗原表達(dá)量來(lái)預(yù)測(cè)MVI發(fā)生,現(xiàn)在研究較多的有異常凝血酶原(DCP)和AFP等。Poté等[35]發(fā)現(xiàn)HCC患者血清DCP>90 mAU/mL可作為MVI的獨(dú)立預(yù)測(cè)因素(HR=3.5,95% CI=1.08~11.8),該診斷閾值對(duì)應(yīng)的靈敏度、特異度分別為70%、63%,若聯(lián)合組織DCP檢查,則靈敏度、特異度可提高到87%、90%。Dumitra等[36]研究發(fā)現(xiàn)AFP斜率對(duì)預(yù)測(cè)MVI及HCC的復(fù)發(fā)具有重要意義。Zhao等[37]以多結(jié)節(jié)HCC進(jìn)行亞組分析,發(fā)現(xiàn)GGT>130 U/L時(shí),MVI陽(yáng)性率比MVI陰性率高出1倍多。這種方案局限性是特異性不強(qiáng),例如DCP和AFP在慢性肝炎和肝硬化等非HCC患者的血清同樣呈高表達(dá)[38],容易造成診斷重疊。目前尚未發(fā)現(xiàn)對(duì)MVI特異的血清蛋白標(biāo)志物。
這一思路的創(chuàng)新性在于著眼于HCC發(fā)生機(jī)制,通過(guò)對(duì)病理組織的樣本檢測(cè),發(fā)現(xiàn)與HCC關(guān)系密切的信號(hào)通道基因或蛋白發(fā)生了改變,這其中的一些分子生物學(xué)指標(biāo)被認(rèn)為與MVI的存在有關(guān)[39]。Poté等[40]利用質(zhì)譜成像發(fā)現(xiàn)組蛋白4的修飾物(H4K16ac與H4K20me2)在MVI陽(yáng)性組高表達(dá),明顯不同于MVI陰性組。Yu等[41]發(fā)現(xiàn)抗血清熱休克蛋白70在MVI陰性患者中顯著高于MVI陽(yáng)性患者,由此推測(cè)抗血清熱休克蛋白70可作為MVI陰性患者血清學(xué)標(biāo)志物。Ding等[42]應(yīng)用Li-鈣黏蛋白(Li-cadherin)與其他黏附分子結(jié)合,預(yù)測(cè)HCC患者的MVI和預(yù)后。Mínguez等[43]發(fā)現(xiàn)了35個(gè)基因標(biāo)記(14個(gè)基因高表達(dá)和21個(gè)基因低表達(dá))與血管侵犯有關(guān),對(duì)MVI預(yù)測(cè)的準(zhǔn)確度為69%??紤]到低特異性、技術(shù)復(fù)雜性和高成本,這些方法仍處于研究階段,在目前較短時(shí)間內(nèi)難以將基礎(chǔ)研究轉(zhuǎn)化為臨床應(yīng)用[44]。
綜上所述,MVI對(duì)HCC的治療方式及預(yù)后發(fā)展都有著重大作用,現(xiàn)有的MVI術(shù)前預(yù)測(cè)技術(shù)各有所長(zhǎng)又各有短板,故而在臨床推廣應(yīng)用上應(yīng)該綜合考慮,使得建立一個(gè)整合多個(gè)預(yù)測(cè)因子的臨床預(yù)測(cè)模型逐漸成為現(xiàn)實(shí),為減低HCC患者術(shù)后復(fù)發(fā)及轉(zhuǎn)移,改善患者預(yù)后等方面帶來(lái)福祉。
[1] 程康文, 詹勇強(qiáng), 王成友, 等. 肝癌干細(xì)胞標(biāo)志物研究的進(jìn)展[J]. 中國(guó)普通外科雜志, 2015, 24(1):110–115. doi:10.3978/j.issn.1005–6947.2015.01.021.Cheng KW, Zhan YQ, Wang CY, et al. Advances in research of liver cancer stem cell markers[J]. Chinese Journal of General Surgery,2015, 24(1):110–115. doi:10.3978/j.issn.1005–6947.2015.01.021.
[2] Bruix J, Reig M, Sherman M. Evidence-based diagnosis, staging,and treatment of patients with hepatocellular carcinoma[J].Gastroenterology, 2016, 150(4):835–853. doi: 10.1053/j.gastro.2015.12.041.
[3] Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma[J]. Lancet,2012, 379(9822):1245–1255. doi: 10.1016/S0140–6736(11)61347–0.
[4] Dhir M, Melin AA, Douaiher J, et al. A review and update of treatment options and controversies in the management of hepatocellular carcinoma[J]. Ann Surg, 2016, 263(6):1112–1125.doi: 10.1097/SLA.0000000000001556.
[5] Banerjee S, Wang DS, Kim HJ, et al. A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma[J]. Hepatology, 2015,62(3):792–800. doi: 10.1002/hep.27877.
[6] Kokudo T, Hasegawa K, Matsuyama Y, et al. Survival benefit of liver resection for hepatocellular carcinoma associated with portal vein invasion[J]. J Hepatol, 2016, 65(5):938–943. doi: 10.1016/j.jhep.2016.05.044.
[7] Zhang X, Li J, Shen F, et al. Significance of presence of microvascular invasion in specimens obtained after surgical treatment of hepatocellular carcinoma[J]. J Gastroenterol Hepatol,2017, doi: 10.1111/jgh.13843. [Epub ahead of print]
[8] 董輝, 叢文銘. 提高肝癌規(guī)范化病理診斷水平,為臨床精細(xì)化治療保駕護(hù)航-《原發(fā)性HCC規(guī)范化病理診斷指南(2015年版)》解讀[J]. 中國(guó)普通外科雜志, 2016, 25(7):939–943.doi:10.3978/j.issn.1005–6947.2016.07.001.Dong H, Cong WM. Increasing the standardized pathology diagnosis level of primary hepatocellular carcinoma, escorting clinical precised treatment--Interpretation of "Guidelines for the diagnosis of primary hepatocellular carcinoma (2015)[J]. Chinese Journal of General Surgery, 2016, 25(7):939–943. doi:10.3978/j.issn.1005–6947.2016.07.001.
[9] 賀莎莎, 范曉棠, 祝達(dá), 等. 乙型肝炎相關(guān)性肝細(xì)胞性肝癌患者術(shù)后生存的危險(xiǎn)指數(shù)模型的建立[J]. 中國(guó)普通外科雜志, 2015,24(7):952–957. doi:10.3978/j.issn.1005–6947.2015.07.007.He SS, Fan XT, Zhu D, et al. Establishment of predictive index model for postoperative survival in patients with hepatitis B-related hepatocellular carcinoma[J]. Chinese Journal of General Surgery,2015, 24(7):952–957. doi:10.3978/j.issn.1005–6947.2015.07.007.
[10] Sumie S, Kuromatsu R, Okuda K, et al. Microvascular invasion in patients with hepatocellular carcinoma and its predictable clinicopathological factors[J]. Ann Surg Oncol, 2008, 15(5):1375–1382. doi: 10.1245/s10434–008–9846–9.
[11] 中國(guó)抗癌協(xié)會(huì)肝癌專業(yè)委員會(huì), 中華醫(yī)學(xué)會(huì)肝病學(xué)分會(huì)肝癌學(xué)組, 中國(guó)抗癌協(xié)會(huì)病理專業(yè)委員會(huì), 等. 原發(fā)性肝癌規(guī)范化病理診斷指南(2015年版)[J]. 中華肝膽外科雜志, 2015, 21(3):145–151. doi:10.3760/cma.j.issn.1007–8118.2015.03.001.Chinese Society of Liver Cancer of Chinese Anti-Cancer Association, Chinese Society of Hepatology of Chinese Medical Association, Chinese Society of Pathology of Chinese Anti-Cancer Association, et al. Evidence-based practice guidelines for the standardized pathological diagnosis of primary liver cancer(2015 edition)[J]. Chinese Journal of Hepatobiliary Surgery, 2015,21(3):145–151. doi:10.3760/cma.j.issn.1007–8118.2015.03.001.
[12] Nishida N, Kudo M. Immunological Microenvironment of Hepatocellular Carcinoma and Its Clinical Implication[J]. Oncology,2017, 92(Suppl 1):40–49. doi: 10.1159/000451015.
[13] Cong WM, Bu H, Chen J, et al. Practice guidelines for the pathological diagnosis of primary liver cancer: 2015 update[J].World J Gastroenterol, 2016, 22(42):9279–9287.
[14] Rodríguez-Perálvarez M, Luong TV, Andreana L, et al. A systematic review of microvascular invasion in hepatocellular carcinoma:diagnostic and prognostic variability[J]. Ann Surg Oncol, 2013,20(1):325–339. doi: 10.1245/s10434–012–2513–1.
[15] Roayaie S, Blume IN, Thung SN, et al. A system of classifying microvascular invasion to predict outcome after resection in patients with hepatocellular carcinoma[J]. Gastroenterology, 2009,137(3):850–855. doi: 10.1053/j.gastro.2009.06.003.
[16] Sumie S, Kuromatsu R, Okuda K, et al. Microvascular invasion in patients with hepatocellular carcinoma and its predictable clinicopathological factors[J]. Ann Surg Oncol, 2008, 15(5):1375–1382. doi: 10.1245/s10434–008–9846–9.
[17] Dudek K, Kornasiewicz O, Remiszewski P, et al. Impact of tumor characteristic on the outcome of liver transplantation in patients with hepatocellular carcinoma[J]. Transplant Proc, 2009,41(8):3135–3137. doi: 10.1016/j.transproceed.2009.08.016.
[18] Parfitt JR, Marotta P, Alghamdi M, et al. Recurrent hepatocellular carcinoma after transplantation: use of a pathological score on explanted livers to predict recurrence[J]. Liver Transpl, 2007,13(4):543–551.
[19] Lim KC, Chow PK, Allen JC, et al. Microvascular invasion is a better predictor of tumor recurrence and overall survival following surgical resection for hepatocellular carcinoma compared to the Milan criteria[J]. Ann Surg, 2011, 254(1):108–113. doi: 10.1097/SLA.0b013e31821ad884.
[20] Hou YF, Wei YG, Yang JY, et al. Microvascular invasion patterns affect survival in hepatocellular carcinoma patients after second hepatectomy[J]. J Surg Res, 2016, 200(1):82–90. doi: 10.1016/j.jss.2015.06.069.
[21] Takayama T, Makuuchi M, Kojiro M, et al. Early hepatocellular carcinoma: pathology, imaging, and therapy[J]. Ann Surg Oncol,2008, 15(4):972–978. doi: 10.1245/s10434–007–9685–0.
[22] Yamashita Y, Tsuijita E, Takeishi K, et al. Predictors for microinvasion of small hepatocellular carcinoma≤2 cm [J]. Ann Surg Oncol, 2012, 19(6):2027–2034. doi: 10.1245/s10434–011–2195–0.
[23] Roayaie S, Blume IN, Thung SN, et al. A system of classifying microvascular invasion to predict outcome after resection in patients with hepatocellular carcinoma[J]. Gastroenterology, 2009,137(3):850–855. doi: 10.1053/j.gastro.2009.06.003.
[24] Zhou Y, Xu D, Wu L, et al. Meta-analysis of anatomic resection versus nonanatomic resection for hepatocellular carcinoma[J].Langenbecks Arch Surg, 2011, 396(7):1109–1117. doi: 10.1007/s00423–011–0784–9.
[25] Liu M, Wang L, Zhu H, et al. A Preoperative Measurement of Serum MicroRNA-125b May Predict the Presence of Microvascular Invasion in Hepatocellular Carcinomas Patients[J]. Transl Oncol,2016, 9(3):167–172. doi: 10.1016/j.tranon.2016.03.002.
[26] Cucchetti A, Qiao GL, Cescon M, et al. Anatomic versus nonanatomic resection in cirrhotic patients with early hepatocellular carcinoma[J]. Surgery, 2014, 155(3):512–521. doi: 10.1016/j.surg.2013.10.009.
[27] Lei Z, Li J, Wu D, et al. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus-Related Hepatocellular Carcinoma Within the Milan Criteria[J]. JAMA Surg, 2016, 151(4):356–363. doi: 10.1001/jamasurg.2015.4257.
[28] Eguchi S, Takatsuki M, Hidaka M, et al. Predictor for histological microvascular invasion of hepatocellular carcinoma: a lesson from 229 consecutive cases of curative liver resection[J]. World J Surg,2010, 34(5):1034–1038. doi: 10.1007/s00268–010–0424–5.
[29] 張俊. 術(shù)前 CT 腫瘤形態(tài)檢查對(duì)肝細(xì)胞癌微血管侵犯的預(yù)測(cè)價(jià)值[J]. 肝臟, 2015, 20(10):793–796. doi:10.3969/j.issn.1008–1704.2015.10.012.Zhang J. Predictive value of preoperative CT tumor morphologic examination in microvascular invasion of hepatocellular carcinoma [J]. Chinese Hepatology, 2015, 20(10):793–796.doi:10.3969/j.issn. 1008–1704.2015.10.012.
[30] 李文柱, 羅寧斌, 蘇丹柯, 等. 能譜CT預(yù)測(cè)肝細(xì)胞癌微血管侵犯的可行性研究[J]. 醫(yī)學(xué)影像學(xué)雜志, 2016, 26(11):2012–2016.Li WZ, Luo NB, Su DK, et al. Microvascular invasion of hepatocellular carcinoma predicted by spectral CT[J]. Journal of Medical Imaging, 2016, 26(11):2012–2016.
[31] 楊創(chuàng)勃, 王軍, 段海峰, 等. 寶石能譜CT定量評(píng)估小HCC微血管侵犯的臨床研究[J]. 實(shí)用放射學(xué)雜志, 2016, 32(6):879–883.doi:10.3969/j.issn.1002–1671.2016.06.014.Yang CB, Wang J, Duan HF, et al. Quantitative assessment of microvascular invasion of small hepatocellular carcinoma using gemstone spectral CT[J]. Journal of Practical Radiology, 2016,32(6):879–883. doi:10.3969/j.issn.1002–1671.2016.06.014.
[32] Chandarana H, Robinson E, Hajdu CH, et al. Microvascular invasion in hepatocellular carcinoma: is it predictable with pretransplant MRI?[J]. AJR Am J Roentgenol, 2011, 196(5):1083–1089. doi: 10.2214/AJR.10.4720.
[33] Xu P, Zeng M, Liu K, et al. Microvascular invasion in small hepatocellular carcinoma: Is it predictable with preoperative diffusion-weighted imaging?[J]. J Gastroenterol Hepatol, 2014,29(2):330–336. doi: 10.1111/jgh.12358.
[34] Renzulli M, Brocchi S, Cucchetti A, et al. Can Current Preoperative Imaging Be Used to Detect Microvascular Invasion of Hepatocellular Carcinoma?[J]. Radiology, 2016, 279(2):432–442.doi: 10.1148/radiol.2015150998.
[35] Poté N, Cauchy F, Albuquerque M, et al. Performance of PIVKAII for early hepatocellular carcinoma diagnosis and prediction of microvascular invasion[J]. J Hepatol, 2015, 62(4):848–854. doi:10.1016/j.jhep.2014.11.005.
[36] Dumitra TC, Dumitra S, Metrakos PP, et al. Pretransplantation α‐fetoprotein slope and milan criteria: strong predictors of hepatocellular carcinoma recurrence after transplantation[J].Transplantation, 2013, 95(1):228–233. doi: 10.1097/TP.0b013e 31827743d7.
[37] Zhao WC, Fan LF, Yang N, et al. Preoperative predictors of microvascular invasion in multinodular hepatocellular carcinoma[J]. Eur J Surg Oncol, 2013, 39(8):858–864. doi: 10.1016/j.ejso.2013.04.003.
[38] Roayaie S, Blume IN, Thung SN, et al. A System of Classifying Microvascular Invasion to Predict Outcome After Resection in Patients with Hepatocellular Carcinoma[J]. Gastroenterology, 2009,137(3):850–855. doi: 10.1053/j.gastro.2009.06.003.
[39] Rodríguezperálvarez M, Luong TV, Andreana L, et al. A systematic review of microvascular invasion in hepatocellular carcinoma:diagnostic and prognostic variability[J]. Ann Surg Oncol, 2013,20(1):325–339. doi: 10.1245/s10434–012–2513–1.
[40] Poté N, Alexandrov T, Le Faouder J, et al. Imaging mass spectrometry reveals modified forms of histone H4 as new biomarkers of microvascular invasion in hepatocellular carcinomas[J]. Hepatology, 2013, 58(3):983–994. doi: 10.1002/hep.26433.
[41] Yu YQ, Wang L, Jin Y, et al. Identification of serologic biomarkers for predicting microvascular invasion in hepatocellular carcinoma[J]. Oncotarget, 2016, 7(13):16362–163671. doi: 10.18632/oncotarget.7649.
[42] Ding ZB, Shi YH, Zhou J, et al. Liver-intestine cadherin predicts microvascular invasion and poor prognosis of hepatitis B viruspositive hepatocellular carcinoma[J]. Cancer, 2009, 115(20):4753–4765. doi: 10.1002/cncr.24513.
[43] Mínguez B, Hoshida Y, Villanueva A, et al. Gene-expression signature of vascular invasion in hepatocellular carcinoma[J]. J Hepatol, 2011, 55(6):1325–1331. doi: 10.1016/j.jhep.2011.02.034.
[44] Hirokawa F, Hayashi M, Miyamoto Y, et al. Outcomes and predictors of microvascular invasion of solitary hepatocellular carcinoma[J]. Hepatol Res, 2014, 44(8):846–853. doi: 10.1111/hepr.12196.