TY - JOUR
T1 - Correction to
T2 - Multiparametric assessment of microvascular invasion in hepatocellular carcinoma using gadoxetic acid-enhanced MRI (Abdominal Radiology, (2024), 49, 5, (1467-1478), 10.1007/s00261-023-04179-3)
AU - Fujita, Nobuhiro
AU - Ushijima, Yasuhiro
AU - Ishimatsu, Keisuke
AU - Okamoto, Daisuke
AU - Wada, Noriaki
AU - Takao, Seiichiro
AU - Murayama, Ryo
AU - Itoyama, Masahiro
AU - Harada, Noboru
AU - Maehara, Junki
AU - Oda, Yoshinao
AU - Ishigami, Kousei
AU - Nishie, Akihiro
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/7
Y1 - 2024/7
N2 - In this paper, references from 25 to 40 are incorrect in the original publication. The correct references are given below: Bastati N, Wibmer A, Tamandl D, et al. (2016) Assessment of Orthotopic Liver Transplant Graft Survival on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging Using Qualitative and Quantitative Parameters. Invest Radiol 51:728–734. Bastati N, Beer L, Mandorfer M, et al. (2020) Does the Functional Liver Imaging Score Derived from Gadoxetic Acid-enhanced MRI Predict Outcomes in Chronic Liver Disease Radiology 294:98–107. Torbenson MS, Ng IOL, Park YN, Roncalli M, Sakamoto M (2019). Hepatocellular carcinoma. In: WHO classification of Tumors Editorial Board. Digestive system tumours. Lyon (France): Internal Agency for Research on Cancer: pp229-239. Roayaie S, Blume IN, Thung SN et al. (2009) A system of classifying microvascular invasion to predict outcome after resection in patients with hepatocellular carcinoma. Gastroenterology 137:850–855. Tomimaru Y, Sasaki Y, Yamada T et al. (2006) Fibrosis in non-cancerous tissue is the unique prognostic factor for primary hepatocellular carcinoma without hepatitis B or C viral infection. World J Surg 30:1729–1735. Esnaola NF, Lauwers GY, Mirza NQ et al. (2002) Predictors of microvascular invasion in patients with hepatocellular carcinoma who are candidates for orthotopic liver transplantation. J Gastrointest Surg 6:224–232; discussion 232. Ng IO, Lai EC, Ng MM, Fan ST (1992) Tumor encapsulation in hepatocellular carcinoma. A pathologic study of 189 cases. Cancer 70:45–49. Fujita N, Nishie A, Asayama Y et al. (2020) Quantitative evaluation of liver function and pathology with hepatocyte fraction on Gadoxetic acid-enhanced MR imaging Magn Reson Imaging 72:125–129. Rosenkrantz AB, Oei M, Babb JS, Niver BE, Taouli B (2011) 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 33:128–135. Tang Y, Wang H, Wang Y, et al. (2016) Quantitative comparison of MR diffusion-weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum-spot ADC, the largest possible solid part, and the maximum diameter in lesions J Magn Reson Imaging 44:1320–1329. Nishie A, Tajima T, Asayama Y et al. (2011) Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma. Eur J Radiol. 80:e29-33. Yokoo T, Masaki N, Parikh ND, Lane BF et al. (2023) Multicenter validation of abbreviated MRI for detecting early-stage hepatocellular carcinoma. Radiology. 307:e220917. Ehman EC, Behr SC, Umetsu SE et al. (2016) Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas. Abdom Radiol (NY) 41:963–969. Matsui O, Kobayashi S, Sanada J et al. (2011) Hepatocelluar nodules in liver cirrhosis: hemodynamic evaluation (angiography-assisted CT) with special reference to multistep hepatocarcinogenesis. Abdom Imaging 36:264–272. Min JH, Lee MW, Park HS et al. (2020) Interobserver Variability and Diagnostic Performance of Gadoxetic Acid-enhanced MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma. Radiology 297: 573–581. Fan L, Mac MT, Frishberg DP et al. (2010) Interobserver and intraobserver variability in evaluating vascular invasion in hepatocellular carcinoma. J Gastroenterol Hepatol 25: 1556–1561. The original article has been updated.
AB - In this paper, references from 25 to 40 are incorrect in the original publication. The correct references are given below: Bastati N, Wibmer A, Tamandl D, et al. (2016) Assessment of Orthotopic Liver Transplant Graft Survival on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging Using Qualitative and Quantitative Parameters. Invest Radiol 51:728–734. Bastati N, Beer L, Mandorfer M, et al. (2020) Does the Functional Liver Imaging Score Derived from Gadoxetic Acid-enhanced MRI Predict Outcomes in Chronic Liver Disease Radiology 294:98–107. Torbenson MS, Ng IOL, Park YN, Roncalli M, Sakamoto M (2019). Hepatocellular carcinoma. In: WHO classification of Tumors Editorial Board. Digestive system tumours. Lyon (France): Internal Agency for Research on Cancer: pp229-239. Roayaie S, Blume IN, Thung SN et al. (2009) A system of classifying microvascular invasion to predict outcome after resection in patients with hepatocellular carcinoma. Gastroenterology 137:850–855. Tomimaru Y, Sasaki Y, Yamada T et al. (2006) Fibrosis in non-cancerous tissue is the unique prognostic factor for primary hepatocellular carcinoma without hepatitis B or C viral infection. World J Surg 30:1729–1735. Esnaola NF, Lauwers GY, Mirza NQ et al. (2002) Predictors of microvascular invasion in patients with hepatocellular carcinoma who are candidates for orthotopic liver transplantation. J Gastrointest Surg 6:224–232; discussion 232. Ng IO, Lai EC, Ng MM, Fan ST (1992) Tumor encapsulation in hepatocellular carcinoma. A pathologic study of 189 cases. Cancer 70:45–49. Fujita N, Nishie A, Asayama Y et al. (2020) Quantitative evaluation of liver function and pathology with hepatocyte fraction on Gadoxetic acid-enhanced MR imaging Magn Reson Imaging 72:125–129. Rosenkrantz AB, Oei M, Babb JS, Niver BE, Taouli B (2011) 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 33:128–135. Tang Y, Wang H, Wang Y, et al. (2016) Quantitative comparison of MR diffusion-weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum-spot ADC, the largest possible solid part, and the maximum diameter in lesions J Magn Reson Imaging 44:1320–1329. Nishie A, Tajima T, Asayama Y et al. (2011) Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma. Eur J Radiol. 80:e29-33. Yokoo T, Masaki N, Parikh ND, Lane BF et al. (2023) Multicenter validation of abbreviated MRI for detecting early-stage hepatocellular carcinoma. Radiology. 307:e220917. Ehman EC, Behr SC, Umetsu SE et al. (2016) Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas. Abdom Radiol (NY) 41:963–969. Matsui O, Kobayashi S, Sanada J et al. (2011) Hepatocelluar nodules in liver cirrhosis: hemodynamic evaluation (angiography-assisted CT) with special reference to multistep hepatocarcinogenesis. Abdom Imaging 36:264–272. Min JH, Lee MW, Park HS et al. (2020) Interobserver Variability and Diagnostic Performance of Gadoxetic Acid-enhanced MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma. Radiology 297: 573–581. Fan L, Mac MT, Frishberg DP et al. (2010) Interobserver and intraobserver variability in evaluating vascular invasion in hepatocellular carcinoma. J Gastroenterol Hepatol 25: 1556–1561. The original article has been updated.
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U2 - 10.1007/s00261-024-04466-7
DO - 10.1007/s00261-024-04466-7
M3 - Comment/debate
C2 - 38913139
AN - SCOPUS:85196731348
SN - 2366-004X
VL - 49
SP - 2559
EP - 2560
JO - Abdominal Radiology
JF - Abdominal Radiology
IS - 7
ER -