Abstract
Recurrence of HCC reduces survival rates in patients treated with surgery, and one of the most relevant risk factors for tumour recurrence is microvascular invasion (mVI). The identification of mVI on preoperative examinations could improve surgical planning’s and techniques so as to reduce the risk of tumour recurrence. During our study, we have revised 101 CT examinations of the liver performed on patients diagnosed with solitary HCC who had surgical treatment and pathological analysis of the specimens for mVI in order to detect CT signs which could be reliable in mVI prediction. On CT examinations, the tumours were evaluated for margins, capsule, size, contrast enhancement, halo sign and Thad. From our statistical analysis, we found out that irregularity in tumour margins and defects in peritumoural capsule are the most significant characteristics predicting mVI in HCC. Every report on CT examinations performed on surgical candidate patients should include suggestions about mVI probability in order to tailor procedures, reduce tumour recurrence risk and improve survival rates.
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References
Liver Cancer Study Group of Japan. The general rules for the clinical and pathological study of primary liver cancer. 2nd English ed. Tokyo: Kanehara; 2003.
Shirabe K, Aishima S, Taketomi A, et al. Prognostic importance of the gross classification of hepatocellular carcinoma in living donor-related liver transplantation. Br J Surg. 2011;98:261–7.
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. World J Surg. 2010;34:1034–8.
Hui AM, Takayama T, Sano K, et al. Predictive value of gross classification of hepatocellular carcinoma on recurrence and survival after hepatectomy. J Hepatol. 2000;33:975–9.
Sumie S, Kuromatsu R, Okuda K, et al. Microvascular invasion in patients with hepatocellular carcinoma and its predictable clinicopathological factors. Ann Surg Oncol. 2008;15:1375–82.
Gouw AS, Balabaud C, Kusano H, Todo S, Ichida T, Kojiro M. Markers for microvascular invasion in hepatocellular carcinoma: where do we stand? Liver Transpl. 2011;17(Suppl 2):S72–80.
Iwatsuki S, Dvorchik I, Marsh JW, et al. Liver transplantation for hepatocellular carcinoma: a proposal of a prognostic scoring system. J Am Coll Surg. 2000;191:389–94.
Chou CT, Chen RC, Lee CW, Ko CJ, Wu HK, Chen YL. Prediction of microvascular invasion of hepatocellular carcinoma by pre-operative CT imaging. Br J Radiol. 2012;85:778–83.
Ariizumi S, Kitagawa K, Kotera Y, et al. A nonsmooth tumor margin in the hepatobiliary phase of gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced magnetic resonance imaging predicts microscopic portal vein invasion, intrahepatic metastasis and early recurrence after hepatectomy in patients with hepatocellular carcinoma. J Hepatobiliary Pancreat Sci. 2011;18:575–85.
Kim H, Park MS, Choi JY, et al. Can microvessel invasion of hepatocellular carcinoma be predicted by pre-operative MRI? Eur Radiol. 2009;19:1744–51.
Faletti R, Cassinis MC, Fonio P, Grasso A, Battisti G, Bergamasco L, Gandini G. Diffusion-weighted imaging and apparent diffusion coefficient values versus contrast-enhanced MR imaging in the identification and characterisation of acute pyelonephritis. Eur Radiol. 2013;23(12):3501–8. doi:10.1007/s00330-013-2951-6.
Regini E, Mariscotti G, Durando M, Ghione G, Luparia A, Campanino PP, Bianchi CC, Bergamasco L, Fonio P. Gandini G Radiological assessment of breast density by visual classification (BI-RADS) compared to automated volumetric digital software (Quantra): implications for clinical practice. Radiol Med. 2014;119(10):741–9.
Befeler AS, Di Bisceglie AM. Hepatocellular carcinoma: diagnosis and treatment. Gastroenterology. 2002;122:1609–19.
Hemming AW, Cattral MS, Reed AI, et al. Liver transplantation for hepatocellular carcinoma. Ann Surg. 2001;233:652–9.
Zhou L, Rui JA, Wang SB, et al. Clinicopathological features, post-surgical survival and prognostic indicators of elderly patients with hepatocellular carcinoma. Eur J Surg Oncol. 2006;32:767–72.
Huang YH, Chen CH, Chang TT, et al. Evaluation of predictive value of CLIP, Okuda, TNM and JIS staging systems for hepatocellular carcinoma patients undergoing surgery. J Gastroenterol Hepatol. 2005;20:765–71.
Sangro B. Refined tools for the treatment of hepatocellular carcinoma. J Hepatol. 2005;42:629–31.
Kanai T, Hirohashi S, Upton MP, et al. Pathology of small hepatocellular carcinoma: a proposal for a new gross classification. Cancer. 1987;60:810–9.
Edmondson HA, Steiner PE. Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies. Cancer. 1954;7:462–503.
Nagano Y, Shimada H, Takeda K, et al. Predictive factors of microvascular invasion in patients with hepatocellular carcinoma larger than 5 cm. World J Surg. 2008;32:2218–22.
Lok ASF, Lai C-L. Alpha-fetoprotein monitoring in Chinese patients with chronic hepatitis B virus infection: role in the early detection of hepatocellular carcinoma. Hepatology. 1989;9:110–5.
Shirabe K, Kanematsu T, Matsumata T, et al. Factors linked to early recurrence of small hepatocellular carcinoma after hepatectomy: univariate and multivariate analysis. Hepatology. 1991;14:802–5.
Nagasue N, Uchida M, Makino Y, et al. Incidence and factors associated with intrahepatic recurrence following resection of hepatocellular carcinoma. Gastroenterology. 1993;105:488–94.
Nagasue N. Liver resection for hepatocellular carcinoma: indications, techniques, complications, and prognostic factors. Hepatobiliary Pancreat Surg. 1998;5:7–13.
Lim JH, Choi D, Park CK, Lee WJ, Lim HK. Encapsulated hepatocellular carcinoma: CT-pathologic correlations. Eur Radiol. 2006;16(10):2326–33.
Ueda K, Matsui O, Kawamori Y, et al. Hypervascular hepatocellular carcinoma: evaluation of hemodynamics with dynamic CT during hepatic arteriography. Radiology. 1998;206:161–6.
Kim BK, Han KH, Park YN, Park MS, Kim KS, Choi JS, et al. Prediction of microvascular invasion before curative resection of hepatocellular carcinoma. J Surg Oncol. 2008;97:246–52.
Chou CT, Chen RC, Lin WC, Ko CJ, Chen CB, Chen YL. Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation. AJR Am J Roentgenol. 2014;203(3):W253–9. doi:10.2214/AJR.13.10595.
Banerjee S, Wang DS, Kim HJ, Sirlin CB, Chan MG, Korn RL, Rutman AM, Siripongsakun S, Lu D, Imanbayev G, Kuo MD. A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma. Hepatology. 2015;62(3):792–800. doi:10.1002/hep.27877 [Epub 2015 Jul 1].
Chandarana H, Robinson E, Hajdu CH, Drozhinin L, Babb JS, Taouli B. Microvascular invasion in hepatocellular carcinoma: is it predictable with pretransplant MRI? AJR. 2011;196:1083–9.
Nishie A, Yoshimitsu K, Asayama Y, et al. Radiologic detectability of minute portal venous invasion in hepatocellular carcinoma. AJR. 2008;190:81–7.
Adachi E, Maeda T, Kajiyama K, et al. Factors correlated with portal venous invasion by hepatocellular carcinoma: univariate and multivariate analyses of 232 resected cases without preoperative treatments. Cancer. 1996;77:2022–31.
Witjes CD, Willemssen FE, Verheij J, et al. Histological differentiation grade and microvascular invasion of hepatocellular carcinoma predicted by dynamic contrast-enhanced MRI. J Magn Reson Imaging. 2012;36:641–7.
Ng IO, Lai EC, Ng MM, Fan ST. Tumor encapsulation in hepatocellular carcinoma: a pathologic study of 189 cases. Cancer. 1992;70:45–9.
Torimura T, Ueno T, Inuzuka S, Tanaka M, Abe H, Tanikawa K. Mechanism of fibrous capsule formation surrounding hepatocellular carcinoma: immunohistochemical study. Arch Pathol Lab Med. 1991;115:365–71.
Marin D, Cappabianca S, Serra N, Sica A, Lassandro F, D’Angelo R, La Porta M, Fiore F, Somma F. CT appearance of hepatocellular carcinoma after locoregional treatments: a comprehensive review. Gastroenterol Res Pract. 2015;2015:670965.
Scialpi M, Palumbo B, Pierotti L, Gravante S, Piunno A, Rebonato A, Dandrea A, Reginelli A, Piscioli I, Brunese L. Rotondo A Detection and characterization of focal liver lesions by split-bolus multidetector-row CT: diagnostic accuracy and radiation dose in oncologic patients. Anticancer Res. 2014;34(8):4335–44.
Ierardi AM, Mangano A, Floridi C, Dionigi G, Biondi A, Duka E, Lucchina N, Lianos GD, Carrafiello G. A new system of microwave ablation at 2450 MHz: preliminary experience. Updates Surg. 2015;67(1):39–45.
Floridi C, Radaelli A, Abi-Jaoudeh N, Grass M, Lin M, Chiaradia M, Geschwind JF, Kobeiter H, Squillaci E, Maleux G, Giovagnoni A, Brunese L, Wood B, Carrafiello G, Rotondo A. C-arm cone-beam computed tomography in interventional oncology: technical aspects and clinical applications. Radiol Med. 2014;119(7):521–32. doi:10.1007/s11547-014-0429-5.
Sforza V, Martinelli E, Ciardiello F, Gambardella V, Napolitano S, Martini G, Della Corte C, Cardone C, Ferrara ML, Reginelli A, Liguori G, Belli G, Troiani T. Mechanisms of resistance to anti-epidermal growth factor receptor inhibitors in metastatic colorectal cancer. World J Gastroenterol. 2016;22(28):6345–61.
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Reginelli, A., Vanzulli, A., Sgrazzutti, C. et al. Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic correlation for the best therapeutic strategies. Med Oncol 34, 93 (2017). https://doi.org/10.1007/s12032-017-0949-7
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DOI: https://doi.org/10.1007/s12032-017-0949-7