已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Is simultaneous multi-slice readout-segmented echo-planar imaging valuable for predicting molecular subtypes of breast cancer?

医学 乳腺癌 核医学 接收机工作特性 有效扩散系数 乳房磁振造影 曼惠特尼U检验 百分位 癌症 淋巴结 磁共振成像 放射科 乳腺摄影术 病理 内科学 统计 数学
作者
Xue Li,Hong Zhu,Kun Sun,Weimin Chai,Caixia Fu,Fuhua Yan
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:150: 110232-110232 被引量:2
标识
DOI:10.1016/j.ejrad.2022.110232
摘要

To investigate the feasibility of simultaneous multi-slice readout-segmented diffusion-weighted echo-planar imaging (SMS rs-EPI DWI) in predicting invasive breast cancer molecular subtypes using whole-tumor histogram and texture analyses.In our retrospective study, 125 patients (mean age, 52.81 ± 12.01 years; range, 24-84 years) with single invasive breast cancer who underwent preoperative MRI with SMS rs-EPI DWI and surgery at our institution were included. Two radiologists independently performed whole-tumor histogram and texture analyses on the apparentdiffusioncoefficient (ADC) map of SMS rs-EPI DWI (TR, 3800.0 ms; TE 90.0 ms; field of view, 340 mm × 206 mm; in-plane matrix, 244 × 148; section thickness, 5 mm; readout segments, 5, b = 0, 800 s/mm2; scan time, 3 mins; slice acceleration factor, 2). The Mann-Whitney U test or Kruskal-Wallis test were used to compare histogram and texture parameters to assess their potential in differentiating molecular subtypes of breast cancer and predicting axillary lymph node status. Receiver operating characteristic (ROC) curves were generated for parameters with significant differences, and the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.Compared to luminal A breast cancer, the HER2-positive breast cancer subtype showed higher ADC_95th percentile values (p = 0.016). In addition, HER2-positive breast cancer yielded significantly higher ADC_mean (p = 0.025), ADC_median (p = 0.025), and ADC_5th percentile (p = 0.041) values than luminal B breast cancer. The ADC_skewness value was higher for triple-negative breast cancer (TNBC) than Luminal A breast cancer (p = 0.021). The difference in ADC_mean, ADC_median, ADC_5th percentile and ADC_95th percentile values between the HER2-positive breast cancer and luminal types was statistically significant, with a combined AUC for these parameters of 0.762 (sensitivity 72.41%, specificity 75.00%, PPV 27.27 %, and NPV 95.45 %). The ADC_skewness value for TNBC was higher than for luminal types (p = 0.012) and yielded an AUC value of 0.688 (sensitivity 96.15%, specificity 36.78%, PPV 31.25%, and NPV 96.97 %). Additionally, significantly higher ADC_skewness and ADC_95th percentile values (p = 0.003, 0.002, respectively) were reported for non-luminal types than luminal types yielding a combined AUC value of 0.712 (sensitivity 92.11%, and specificity 50.23%, PPV 41.18%, and NPV 92.50%). The AUC value for ADC_5th percentile for axillary lymph node status prediction was 0.659 (sensitivity 65.38%, specificity of 64.86%).The whole-tumor histogram and texture analyses parameters based on SMS rs-EPI DWI may provide biological information on aggressive molecular subtypes of breast cancer. In addition, ADC_5th percentile values were significantly different between lymph node-positive and lymph node-negative breast cancer.
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
1秒前
ovoclive完成签到,获得积分10
2秒前
lxgz发布了新的文献求助10
2秒前
leon111发布了新的文献求助10
4秒前
贺贺完成签到,获得积分10
4秒前
4秒前
空林饮溪完成签到 ,获得积分10
5秒前
浅音应助程依婷采纳,获得10
5秒前
烟花应助十分十分佳采纳,获得10
5秒前
Jing完成签到,获得积分10
7秒前
沦落而完成签到,获得积分10
8秒前
浮游应助橘涂采纳,获得10
8秒前
科研通AI6应助铮铮铁骨采纳,获得10
8秒前
Lydia发布了新的文献求助10
9秒前
10秒前
12秒前
义气的安白完成签到,获得积分10
12秒前
12秒前
爆米花应助王艺霖采纳,获得10
12秒前
禾苗发布了新的文献求助10
13秒前
14秒前
14秒前
luwenbin发布了新的文献求助10
15秒前
汉堡包应助务实的犀牛采纳,获得10
15秒前
张轩完成签到,获得积分10
15秒前
温存完成签到,获得积分10
16秒前
牛蛙丶丶发布了新的文献求助10
16秒前
17秒前
17秒前
nn发布了新的文献求助10
17秒前
17秒前
xnzhl发布了新的文献求助10
18秒前
Li发布了新的文献求助30
19秒前
ASD发布了新的文献求助10
20秒前
冷傲的小之完成签到,获得积分10
20秒前
21秒前
21秒前
21秒前
无私的银耳汤完成签到,获得积分10
21秒前
公子浅言完成签到 ,获得积分10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4924963
求助须知:如何正确求助?哪些是违规求助? 4195117
关于积分的说明 13030291
捐赠科研通 3966853
什么是DOI,文献DOI怎么找? 2174302
邀请新用户注册赠送积分活动 1191684
关于科研通互助平台的介绍 1101172