Investigating the value of pre-treatment 18F-FDG PET/CT in predicting the pathological characteristic of hepatocellular carcinoma and recurrence after liver transplantation

医学 肝细胞癌 肝病学 肝移植 病态的 内科学 放射科 移植 正电子发射断层摄影术
作者
Jing Lv,Hongyan Yin,Wujian Mao,Hongcheng Shi
出处
期刊:Abdominal Imaging [Springer Nature]
卷期号:46 (6): 2490-2497 被引量:12
标识
DOI:10.1007/s00261-020-02872-1
摘要

The aim of this study is to investigate the value of pre-treatment 18F-FDG PET/CT in predicting the pathological characteristic of HCC and recurrence after liver transplantation (LT). A total of 34 patients who underwent 18F-FDG PET/CT before LT for HCC and did not receive any other treatment were retrospectively enrolled in the study. The maximal standard uptake value of the tumor (T-SUVmax), normal liver tissues (L-SUVmax), and mediastinal blood pool (B-SUVmax) were derived, followed by the calculations of the T-SUVmax/L-SUVmax (T/L) and the T-SUVmax/B-SUVmax (T/B) ratios. Combined with the post-transplantation pathological results and ROC curve, the performance in predicting the pathological characteristic and the recurrence after LT were evaluated. The AUCs for T-SUVmax, T/L, and T/B in predicting the pathological grade of tumors were 0.820, 0.784, and 0.806, respectively. Alternatively, the AUCs for T-SUVmax, T/L, and T/B in predicting the recurrence after LT were 0.865, 0.899, and 0.931, respectively. The individual cutoff values were 5.0, 1.7, and 2.2, corresponding to a predication accuracy of 88.2%, 85.3%, and 88.2%, respectively. In addition, the AUCs for T/B in predicting microvascular invasion (mVI) and liver capsular invasion (LCI) were 0.825 and 0.788, respectively. The pre-treatment 18F-FDG PET/CT is effective for predicting recurrence of HCC after LT. In addition, it demonstrates values for predicting the pathological characteristic of HCC such as pathological grade, mVI, and LCI.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zh发布了新的文献求助10
1秒前
小民完成签到 ,获得积分10
2秒前
Free完成签到,获得积分20
3秒前
SciGPT应助青丝采纳,获得10
4秒前
科研通AI6.3应助二宝采纳,获得10
4秒前
LEOhard完成签到,获得积分10
5秒前
英姑应助seven采纳,获得10
5秒前
6秒前
9秒前
天天快乐应助北柒Cy采纳,获得10
10秒前
香蕉觅云应助beibei采纳,获得10
10秒前
515完成签到,获得积分10
10秒前
小蘑菇应助眨眼采纳,获得10
12秒前
乐正达完成签到,获得积分10
14秒前
515发布了新的文献求助10
14秒前
14秒前
yes完成签到 ,获得积分10
15秒前
zhang005on完成签到,获得积分10
16秒前
拉长的天川完成签到,获得积分20
18秒前
19秒前
飘逸的幻灵发布了新的文献求助100
19秒前
希望天下0贩的0应助smile采纳,获得30
19秒前
nino发布了新的文献求助10
20秒前
Anna发布了新的文献求助10
20秒前
科研通AI6.3应助RC_Wang采纳,获得10
22秒前
可爱的函函应助sissi采纳,获得30
24秒前
纯情的馒头完成签到,获得积分10
24秒前
yjwang完成签到,获得积分10
25秒前
26秒前
26秒前
26秒前
luluki完成签到,获得积分10
27秒前
朱奇凡发布了新的文献求助30
27秒前
luluki发布了新的文献求助10
30秒前
纯真电源发布了新的文献求助10
31秒前
32秒前
32秒前
seven发布了新的文献求助10
32秒前
33秒前
Hear发布了新的文献求助10
34秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7156186
求助须知:如何正确求助?哪些是违规求助? 8800762
关于积分的说明 18598944
捐赠科研通 6756934
什么是DOI,文献DOI怎么找? 3161429
关于科研通互助平台的介绍 2296074
邀请新用户注册赠送积分活动 2136123