Literature DB >> 26901009

Threshold for Enhancement in Treated Hepatocellular Carcinoma on MDCT: Effect on Necrosis Quantification.

Atilla Arslanoglu1, Hamid Chalian1, Faezeh Sodagari1, Adeel R Seyal1, Hüseyin Gürkan Töre1, Riad Salem1, Vahid Yaghmai1.   

Abstract

OBJECTIVE: The objective of our study was to determine whether the conventionally used enhancement threshold of 10 HU for assessing tumor viability in treated hepatocellular carcinoma (HCC) lesions is valid.
MATERIALS AND METHODS: To distinguish pseudoenhancement from enhancement in a tumor, we used an in vivo model: The attenuation of 54 hepatic cysts during the unenhanced and portal venous phases of MDCT, similar to what may be observed in HCC with central necrosis, was used to determine the threshold for pseudoenhancement. To validate this model, we compared the attenuation value of liver parenchyma in this cohort with that of 22 HCCs during the late arterial phase of enhancement. We tested the effect of this pseudoenhancement on quantifying necrosis in HCC compared with the conventionally used threshold of 10 HU.
RESULTS: Values of enhancing HCC tissue on arterial phase MDCT (mean, 121.3 HU) were comparable with normal liver parenchyma on venous phase MDCT (117.3 HU) (p = 0.27). The threshold of 17.1 HU was the best threshold for the detection of pseudoenhancement in cysts (99% accuracy, 100% sensitivity, and 98% specificity). When this threshold was used instead of the conventional threshold of 10 HU, the mean necrosis proportion of treated HCC increased from 34.0% to 42.6% and the mean viable tumor proportion decreased from 66.0% to 57.4%. The quantification of viable HCC tissue based on 10 HU and the quantification of viable HCC tissue based on 17.1 HU were found to be significantly different (p < 0.0001).
CONCLUSION: The threshold of 17.1 HU may be the appropriate cutoff for nonenhancement in a necrotic HCC. Use of this threshold may potentially affect how response to therapy is quantified and categorized.

Entities:  

Keywords:  CT; Modified Response Evaluation Criteria in Solid Tumors (mRECIST); hepatocellular carcinoma; necrosis; viable

Mesh:

Year:  2016        PMID: 26901009     DOI: 10.2214/AJR.15.15339

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  4 in total

1.  Assessment of the response of hepatocellular carcinoma to interventional radiology treatments.

Authors:  Francesca Patella; Filippo Pesapane; Enrico Fumarola; Stefania Zannoni; Pietro Brambillasca; Ilaria Emili; Guido Costa; Victoria Anderson; Elliot B Levy; Gianpaolo Carrafiello; Bradford J Wood
Journal:  Future Oncol       Date:  2019-05-02       Impact factor: 3.404

2.  Identification of CT Values That Could Be Predictive of Necrosis (N-CTav) in Hepatocellular Carcinoma after Lenvatinib Treatment.

Authors:  Makoto Chuma; Hideki Yokoo; Atsushi Hiraoka; Kazuhiko Ueda; Takahiro Yokoyama; Kunihiko Tsuji; Noritomo Shimada; Haruki Uojima; Satoshi Kobayashi; Nobuhiro Hattori; Tomomi Okubo; Masanori Atsukawa; Toru Ishikawa; Koichi Takaguchi; Akemi Tsutsui; Hidenori Toyoda; Toshifumi Tada; Yoshinori Saito; Shunji Hirose; Takaaki Tanaka; Kazuhisa Takeda; Masako Otani; Zenjiro Sekikawa; Tsunamasa Watanabe; Hisashi Hidaka; Manabu Morimoto; Kazushi Numata; Tatehiro Kagawa; Michiie Sakamoto; Takashi Kumada; Shin Maeda
Journal:  Curr Oncol       Date:  2022-05-04       Impact factor: 3.109

3.  Influence of feature calculating parameters on the reproducibility of CT radiomic features: a thoracic phantom study.

Authors:  Ying Li; Guanghua Tan; Mark Vangel; Jonathan Hall; Wenli Cai
Journal:  Quant Imaging Med Surg       Date:  2020-09

4.  Evaluation of Early Response to Treatment of Hepatocellular Carcinoma with Yttrium-90 Radioembolization Using Quantitative Computed Tomography Analysis.

Authors:  Sungwon Kim; Do Young Kim; Chansik An; Kyunghwa Han; Jong Yun Won; Gyoung Min Kim; Myeong Jin Kim; Jin Young Choi
Journal:  Korean J Radiol       Date:  2019-03       Impact factor: 3.500

  4 in total

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