Preoperative prediction of the microvascular invasion of hepatocellular carcinoma with diffusion-weighted imaging

Liver Transplantation

Volumn 18, Issue 10, 2012, Pages 1171-1178

  Suh, Young Joo ^a   Kim, Myeong Jin ^a   Choi, Jin Young ^a   Park, Mi Suk ^a   Kim, Ki Whang ^a  

^a Yonsei University College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CANCER GRADING; CANCER INVASION; CANCER PATIENT; CANCER SIZE; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEMALE; HUMAN; HUMAN TISSUE; LIVER CELL CARCINOMA; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MICROVASCULAR INVASION; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; CARCINOMA, HEPATOCELLULAR; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HEPATECTOMY; HUMANS; LIVER NEOPLASMS; LOGISTIC MODELS; MALE; MICROVESSELS; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PREOPERATIVE CARE; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 84867560602     PISSN: 15276465     EISSN: 15276473     Source Type: Journal    
DOI: 10.1002/lt.23502     Document Type: Article

References (40)

1. Yang JD, Roberts LR,. Epidemiology and management of hepatocellular carcinoma. Infect Dis Clin North Am 2010; 24: 899-919.
2. Sherman M,. Recurrence of hepatocellular carcinoma. N Engl J Med 2008; 359: 2045-2047.
3. Poon RT,. Prevention of recurrence after resection of hepatocellular carcinoma: a daunting challenge. Hepatology 2011; 54: 757-759.
4. Nathan H, Schulick RD, Choti MA, Pawlik TM,. Predictors of survival after resection of early hepatocellular carcinoma. Ann Surg 2009; 249: 799-805.
5. Roayaie S, Blume IN, Thung SN, Guido M, Fiel MI, Hiotis S, et al. A system of classifying microvascular invasion to predict outcome after resection in patients with hepatocellular carcinoma. Gastroenterology 2009; 137: 850-855.
6. Marrero JA, Welling T,. Modern diagnosis and management of hepatocellular carcinoma. Clin Liver Dis 2009; 13: 233-247.
7. Nagano Y, Shimada H, Takeda K, Ueda M, Matsuo K, Tanaka K, et al. Predictive factors of microvascular invasion in patients with hepatocellular carcinoma larger than 5 cm. World J Surg 2008; 32: 2218-2222.
8. Sumie S, Kuromatsu R, Okuda K, Ando E, Takata A, Fukushima N, et al. Microvascular invasion in patients with hepatocellular carcinoma and its predictable clinicopathological factors. Ann Surg Oncol 2008; 15: 1375-1382.
9. 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-S80.
10. Sotiropoulos GC, Radtke A, Schmitz KJ, Molmenti EP, Schroeder T, Saner FH, et al. Liver transplantation in the setting of hepatocellular carcinoma and portal vein thrombosis: a challenging dilemma? Dig Dis Sci 2008; 53: 1994-1999.
11. Nishie A, Yoshimitsu K, Irie H, Tajima T, Hirakawa M, Ishigami K, et al. Radiological detectability of minute hepatic venous invasion in hepatocellular carcinoma. Eur J Radiol 2009; 70: 517-524.
12. Shirabe K, Kajiyama K, Abe T, Sakamoto S, Fukuya T, Akazawa K, et al. Predictors of microscopic portal vein invasion by hepatocellular carcinoma: measurement of portal perfusion defect area ratio. J Gastroenterol Hepatol 2009; 24: 1431-1436.
13. Kornberg A, Freesmeyer M, Bärthel E, Jandt K, Katenkamp K, Steenbeck J, et al. 18F-FDG-uptake of hepatocellular carcinoma on PET predicts microvascular tumor invasion in liver transplant patients. Am J Transplant 2009; 9: 592-600.
14. Kim H, Park MS, Choi JY, Park YN, Kim MJ, Kim KS, et al. Can microvessel invasion of hepatocellular carcinoma be predicted by pre-operative MRI? Eur Radiol 2009; 19: 1744-1751.
15. Griffin N, Addley H, Sala E, Shaw AS, Grant LA, Eldaly H, et al. Vascular invasion in hepatocellular carcinoma: is there a correlation with MRI? Br J Radiol 2012; 85: 736-744.
16. Chandarana H, Robinson E, Hajdu CH, Drozhinin L, Babb JS, Taouli B,. Microvascular invasion in hepatocellular carcinoma: is it predictable with pretransplant MRI? AJR Am J Roentgenol 2011; 196: 1083-1089.
17. Taouli B, Koh DM,. Diffusion-weighted MR imaging of the liver. Radiology 2010; 254: 47-66.
18. Vandecaveye V, De Keyzer F, Verslype C, Op de Beeck K, Komuta M, Topal B, et al. Diffusion-weighted MRI provides additional value to conventional dynamic contrast-enhanced MRI for detection of hepatocellular carcinoma. Eur Radiol 2009; 19: 2456-2466.
19. Xu PJ, Yan FH, Wang JH, Lin J, Ji Y,. Added value of breathhold diffusion-weighted MRI in detection of small hepatocellular carcinoma lesions compared with dynamic contrast-enhanced MRI alone using receiver operating characteristic curve analysis. J Magn Reson Imaging 2009; 29: 341-349.
20. Nishie A, Tajima T, Ishigami K, Ushijima Y, Okamoto D, Hirakawa M, et al. Detection of hepatocellular carcinoma (HCC) using super paramagnetic iron oxide (SPIO)-enhanced MRI: added value of diffusion-weighted imaging (DWI). J Magn Reson Imaging 2010; 31: 373-382.
21. Xu PJ, Yan FH, Wang JH, Shan Y, Ji Y, Chen CZ,. Contribution of diffusion-weighted magnetic resonance imaging in the characterization of hepatocellular carcinomas and dysplastic nodules in cirrhotic liver. J Comput Assist Tomogr 2010; 34: 506-512.
22. Muhi A, Ichikawa T, Motosugi U, Sano K, Matsuda M, Kitamura T, et al. High-b-value diffusion-weighted MR imaging of hepatocellular lesions: estimation of grade of malignancy of hepatocellular carcinoma. J Magn Reson Imaging 2009; 30: 1005-1011.
23. Nishie A, Tajima T, Asayama Y, Ishigami K, Kakihara D, Nakayama T, et al. Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma. Eur J Radiol 2011; 80: e29-e33.
24. Heo SH, Jeong YY, Shin SS, Kim JW, Lim HS, Lee JH, et al. Apparent diffusion coefficient value of diffusion-weighted imaging for hepatocellular carcinoma: correlation with the histologic differentiation and the expression of vascular endothelial growth factor. Korean J Radiol 2010; 11: 295-303.
25. Nasu K, Kuroki Y, Tsukamoto T, Nakajima H, Mori K, Minami M,. Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathologic grade. AJR Am J Roentgenol 2009; 193: 438-444.
26. Kaibori M, Ishizaki M, Matsui K, Kwon AH,. Predictors of microvascular invasion before hepatectomy for hepatocellular carcinoma. J Surg Oncol 2010; 102: 462-468.
27. Kim MJ, Lee M, Choi JY, Park YN,. Imaging features of small hepatocellular carcinomas with microvascular invasion on gadoxetic acid-enhanced MR imaging. Eur J Radiol; doi:10.1016/j.ejrad.2011.11.014.
28. Edmondson HA, Steiner PE,. Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies. Cancer 1954; 7: 462-503.
29. Kim KA, Kim MJ, Jeon HM, Kim KS, Choi JS, Ahn SH, et al. Prediction of microvascular invasion of hepatocellular carcinoma: usefulness of peritumoral hypointensity seen on gadoxetate disodium-enhanced hepatobiliary phase images. J Magn Reson Imaging 2012; 35: 629-634.
30. Eguchi S, Takatsuki M, Hidaka M, Soyama A, Tomonaga T, Muraoka I, Kanematsu T,. Predictor for histological microvascular invasion of hepatocellular carcinoma: a lesson from 229 consecutive cases of curative liver resection. World J Surg 2010; 34: 1034-1038.
31. Guiu B, Cercueil JP,. Liver diffusion-weighted MR imaging: the tower of Babel? Eur Radiol 2011; 21: 463-467.
32. Chandarana H, Taouli B,. Diffusion and perfusion imaging of the liver. Eur J Radiol 2010; 76: 348-358.
33. Patel J, Sigmund EE, Rusinek H, Oei M, Babb JS, Taouli B,. Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience. J Magn Reson Imaging 2010; 31: 589-600.
34. Pawlik TM, Delman KA, Vauthey JN, Nagorney DM, Ng IO, Ikai I, et al. Tumor size predicts vascular invasion and histologic grade: implications for selection of surgical treatment for hepatocellular carcinoma. Liver Transpl 2005; 11: 1086-1092.
35. Braithwaite AC, Dale BM, Boll DT, Merkle EM,. Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen. Radiology 2009; 250: 459-465.
36. Colagrande S, Pasquinelli F, Mazzoni LN, Belli G, Virgili G,. MR-diffusion weighted imaging of healthy liver parenchyma: repeatability and reproducibility of apparent diffusion coefficient measurement. J Magn Reson Imaging 2010; 31: 912-920.
37. Dale BM, Braithwaite AC, Boll DT, Merkle EM,. Field strength and diffusion encoding technique affect the apparent diffusion coefficient measurements in diffusion-weighted imaging of the abdomen. Invest Radiol 2010; 45: 104-108.
38. Kim SY, Lee SS, Byun JH, Park SH, Kim JK, Park B, et al. Malignant hepatic tumors: short-term reproducibility of apparent diffusion coefficients with breath-hold and respiratory-triggered diffusion-weighted MR imaging. Radiology 2010; 255: 815-823.
39. Lu TL, Meuli RA, Marques-Vidal PM, Bize P, Denys A, Schmidt S,. Interobserver and intraobserver variability of the apparent diffusion coefficient in treated malignant hepatic lesions on a 3.0T machine: measurements in the whole lesion versus in the area with the most restricted diffusion. J Magn Reson Imaging 2010; 32: 647-653.
40. Rosenkrantz AB, Oei M, Babb JS, Niver BE, Taouli B,. Diffusion-weighted imaging of the abdomen at 3.0 tesla: image quality and apparent diffusion coefficient reproducibility compared with 1.5 tesla. J Magn Reson Imaging 2011; 33: 128-135.