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Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography

BACKGROUND: Percutaneous radiofrequency ablation (RFA) is a well-established local treatment for small hepatocellular carcinoma (HCC). However, poor differentiation is a risk factor for tumor seeding or intrahepatic dissemination after RFA for HCC. The present study aimed to develop a method for pre...

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Autores principales: Nakachi, Kenichiro, Tamai, Hideyuki, Mori, Yoshiyuki, Shingaki, Naoki, Moribata, Kosaku, Deguchi, Hisanobu, Ueda, Kazuki, Inoue, Izumi, Maekita, Takao, Iguchi, Mikitaka, Kato, Jun, Ichinose, Masao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331839/
https://www.ncbi.nlm.nih.gov/pubmed/25608454
http://dx.doi.org/10.1186/1470-7330-14-7
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author Nakachi, Kenichiro
Tamai, Hideyuki
Mori, Yoshiyuki
Shingaki, Naoki
Moribata, Kosaku
Deguchi, Hisanobu
Ueda, Kazuki
Inoue, Izumi
Maekita, Takao
Iguchi, Mikitaka
Kato, Jun
Ichinose, Masao
author_facet Nakachi, Kenichiro
Tamai, Hideyuki
Mori, Yoshiyuki
Shingaki, Naoki
Moribata, Kosaku
Deguchi, Hisanobu
Ueda, Kazuki
Inoue, Izumi
Maekita, Takao
Iguchi, Mikitaka
Kato, Jun
Ichinose, Masao
author_sort Nakachi, Kenichiro
collection PubMed
description BACKGROUND: Percutaneous radiofrequency ablation (RFA) is a well-established local treatment for small hepatocellular carcinoma (HCC). However, poor differentiation is a risk factor for tumor seeding or intrahepatic dissemination after RFA for HCC. The present study aimed to develop a method for predicting poorly differentiated HCC using contrast computed tomography (CT) for safe and effective RFA. METHODS: Of HCCs diagnosed histologically, 223 patients with 226 HCCs showing tumor enhancement on contrast CT were analyzed. The tumor enhancement pattern was classified into two categories, with and without non-enhanced areas, and tumor stain that disappeared during the venous or equilibrium phase with the tumor becoming hypodense was categorized as positive for washout. RESULTS: The 226 HCCs were evaluated as well differentiated (w-) in 56, moderately differentiated (m-) in 137, and poorly differentiated (p-) in 33. The proportions of small HCCs (3 cm or less) in w-HCCs, m-HCCs, and p-HCCs were 86% (48/56), 59% (81/137), and 48% (16/33), respectively. The percentage with heterogeneous enhancement in all HCCs was 13% in w-HCCs, 29% in m-HCCs, and 85% in p-HCCs. The percentage with tumor stain washout in the venous phase was 29% in w-HCCs, 63% in m-HCCs, and 94% in p-HCCs. The percentage with heterogeneous enhancement in small HCCs was 10% in w-HCCs, 10% in m-HCCs, and 75% in p-HCCs. The percentage with tumor stain washout in the venous phase in small HCCs was 23% in w-HCCs, 58% in m-HCCs, and 100% in p-HCCs. Significant correlations were seen for each factor (p < 0.001 each). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for prediction of poor differentiation in small HCCs by tumor enhancement with non-enhanced areas were 75%, 90%, 48%, 97%, and 88%, respectively; for tumor stain washout in the venous phase, these were 100%, 55%, 22%, 100%, and 60%, respectively. CONCLUSIONS: Tumor enhancement patterns were associated with poor histological differentiation even in small HCCs. Tumor enhancement with non-enhanced areas was valuable for predicting poorly differentiated HCC.
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spelling pubmed-43318392015-02-19 Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography Nakachi, Kenichiro Tamai, Hideyuki Mori, Yoshiyuki Shingaki, Naoki Moribata, Kosaku Deguchi, Hisanobu Ueda, Kazuki Inoue, Izumi Maekita, Takao Iguchi, Mikitaka Kato, Jun Ichinose, Masao Cancer Imaging Research Article BACKGROUND: Percutaneous radiofrequency ablation (RFA) is a well-established local treatment for small hepatocellular carcinoma (HCC). However, poor differentiation is a risk factor for tumor seeding or intrahepatic dissemination after RFA for HCC. The present study aimed to develop a method for predicting poorly differentiated HCC using contrast computed tomography (CT) for safe and effective RFA. METHODS: Of HCCs diagnosed histologically, 223 patients with 226 HCCs showing tumor enhancement on contrast CT were analyzed. The tumor enhancement pattern was classified into two categories, with and without non-enhanced areas, and tumor stain that disappeared during the venous or equilibrium phase with the tumor becoming hypodense was categorized as positive for washout. RESULTS: The 226 HCCs were evaluated as well differentiated (w-) in 56, moderately differentiated (m-) in 137, and poorly differentiated (p-) in 33. The proportions of small HCCs (3 cm or less) in w-HCCs, m-HCCs, and p-HCCs were 86% (48/56), 59% (81/137), and 48% (16/33), respectively. The percentage with heterogeneous enhancement in all HCCs was 13% in w-HCCs, 29% in m-HCCs, and 85% in p-HCCs. The percentage with tumor stain washout in the venous phase was 29% in w-HCCs, 63% in m-HCCs, and 94% in p-HCCs. The percentage with heterogeneous enhancement in small HCCs was 10% in w-HCCs, 10% in m-HCCs, and 75% in p-HCCs. The percentage with tumor stain washout in the venous phase in small HCCs was 23% in w-HCCs, 58% in m-HCCs, and 100% in p-HCCs. Significant correlations were seen for each factor (p < 0.001 each). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for prediction of poor differentiation in small HCCs by tumor enhancement with non-enhanced areas were 75%, 90%, 48%, 97%, and 88%, respectively; for tumor stain washout in the venous phase, these were 100%, 55%, 22%, 100%, and 60%, respectively. CONCLUSIONS: Tumor enhancement patterns were associated with poor histological differentiation even in small HCCs. Tumor enhancement with non-enhanced areas was valuable for predicting poorly differentiated HCC. BioMed Central 2014-04-22 /pmc/articles/PMC4331839/ /pubmed/25608454 http://dx.doi.org/10.1186/1470-7330-14-7 Text en Copyright © 2014 Nakachi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Nakachi, Kenichiro
Tamai, Hideyuki
Mori, Yoshiyuki
Shingaki, Naoki
Moribata, Kosaku
Deguchi, Hisanobu
Ueda, Kazuki
Inoue, Izumi
Maekita, Takao
Iguchi, Mikitaka
Kato, Jun
Ichinose, Masao
Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title_full Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title_fullStr Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title_full_unstemmed Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title_short Prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
title_sort prediction of poorly differentiated hepatocellular carcinoma using contrast computed tomography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331839/
https://www.ncbi.nlm.nih.gov/pubmed/25608454
http://dx.doi.org/10.1186/1470-7330-14-7
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