MRI- and Histologic-Molecular-Based Radio-Genomics Nomogram for Preoperative Assessment of Risk Classes in Endometrial Cancer

医学 基因组学 子宫内膜癌 列线图 放射科 肿瘤科 计算生物学 内科学 癌症 生物 基因组 基因 遗传学
作者
Veronica Celli,Michele Guerreri,Angelina Pernazza,Ilaria Cuccu,Innocenza Palaia,Federica Tomao,Violante Di Donato,Paola Pricolo,Giada Ercolani,Sandra Ciulla,Nicoletta Colombo,Martina Leopizzi,Valeria Di Maio,Eliodoro Faiella,Domiziana Santucci,Paolo Soda,Ermanno Cordelli,Giorgia Perniola,Benedetta Gui,Stefania Rizzo,Carlo Della Rocca,Giuseppe Petralia,Carlo Catalano,Lucia Manganaro
出处
期刊:Cancers [Multidisciplinary Digital Publishing Institute]
卷期号:14 (23): 5881-5881 被引量:23
标识
DOI:10.3390/cancers14235881
摘要

High- and low-risk endometrial carcinoma (EC) differ in whether or not a lymphadenectomy is performed. We aimed to develop MRI-based radio-genomic models able to preoperatively assess lymph-vascular space invasion (LVSI) and discriminate between low- and high-risk EC according to the ESMO-ESGO-ESTRO 2020 guidelines, which include molecular risk classification proposed by “ProMisE”. This is a retrospective, multicentric study that included 64 women with EC who underwent 3T-MRI before a hysterectomy. Radiomics features were extracted from T2WI images and apparent diffusion coefficient maps (ADC) after manual segmentation of the gross tumor volume. We constructed a multiple logistic regression approach from the most relevant radiomic features to distinguish between low- and high-risk classes under the ESMO-ESGO-ESTRO 2020 guidelines. A similar approach was taken to assess LVSI. Model diagnostic performance was assessed via ROC curves, accuracy, sensitivity and specificity on training and test sets. The LVSI predictive model used a single feature from ADC as a predictor; the risk class model used two features as predictors from both ADC and T2WI. The low-risk predictive model showed an AUC of 0.74 with an accuracy, sensitivity, and specificity of 0.74, 0.76, 0.94; the LVSI model showed an AUC of 0.59 with an accuracy, sensitivity, and specificity of 0.60, 0.50, 0.61. MRI-based radio-genomic models are useful for preoperative EC risk stratification and may facilitate therapeutic management.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
小汤发布了新的文献求助10
刚刚
Luo完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
1秒前
1秒前
1秒前
Yaki完成签到,获得积分10
2秒前
kl发布了新的文献求助200
2秒前
czb完成签到 ,获得积分10
2秒前
tdtk发布了新的文献求助10
2秒前
FashionBoy应助饱满秋采纳,获得10
2秒前
2秒前
山上的树完成签到 ,获得积分10
2秒前
3秒前
北栀发布了新的文献求助10
3秒前
3秒前
DijiaXu应助学霸宇大王采纳,获得10
3秒前
yar应助ATM采纳,获得10
4秒前
SYLH应助Billy采纳,获得10
4秒前
完美世界应助CMRwatermelon采纳,获得10
4秒前
4秒前
5秒前
Cyber_relic完成签到,获得积分10
6秒前
6秒前
6秒前
進puls完成签到,获得积分10
7秒前
Akim应助贾千兰采纳,获得10
7秒前
7秒前
8秒前
梓榆发布了新的文献求助10
8秒前
小宁完成签到,获得积分10
8秒前
Fay发布了新的文献求助10
8秒前
8秒前
8秒前
阿湫发布了新的文献求助10
9秒前
Lxt发布了新的文献求助10
9秒前
tlh完成签到 ,获得积分10
9秒前
天天天王完成签到,获得积分10
9秒前
白白发布了新的文献求助10
9秒前
9秒前
10秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970572
求助须知:如何正确求助?哪些是违规求助? 3515219
关于积分的说明 11177438
捐赠科研通 3250374
什么是DOI,文献DOI怎么找? 1795265
邀请新用户注册赠送积分活动 875750
科研通“疑难数据库(出版商)”最低求助积分说明 805054