Non-invasive intravoxel incoherent motion MRI in prediction of histopathological response to neoadjuvant chemotherapy and survival outcome in osteosarcoma at the time of diagnosis

盒内非相干运动 医学 骨肉瘤 比例危险模型 化疗 单变量分析 活检 生存分析 磁共振成像 磁共振弥散成像 核医学 肿瘤科 内科学 放射科 多元分析 病理
作者
Esha Baidya Kayal,Sameer Bakhshi,Devasenathipathy Kandasamy,Mehar Chand Sharma,Shah Alam Khan,Venkatesan Sampath Kumar,Kedar Khare,Raju Sharma,Amit Mehndiratta
出处
期刊:Journal of Translational Medicine [Springer Nature]
卷期号:20 (1) 被引量:2
标识
DOI:10.1186/s12967-022-03838-1
摘要

Early prediction of response to neoadjuvant chemotherapy (NACT) is important to aid personalized treatment in osteosarcoma. Diffusion-weighted Intravoxel Incoherent Motion (IVIM) MRI was used to evaluate the predictive value for response to NACT and survival outcome in osteosarcoma.Total fifty-five patients with biopsy-proven osteosarcoma were recruited prospectively, among them 35 patients were further analysed. Patients underwent 3 cycles of NACT (Cisplatin + Doxorubicin) followed by surgery and response adapted adjuvant chemotherapy. Treatment outcomes were histopathological response to NACT (good-response ≥ 50% necrosis and poor-response < 50% necrosis) and survival outcome (event-free survival (EFS) and overall survival (OS)). IVIM MRI was acquired at 1.5T at baseline (t0), after 1-cycle (t1) and after 3-cycles (t2) of NACT. Quantitative IVIM parameters (D, D*, f & D*.f) were estimated using advanced state-of-the-art spatial penalty based IVIM analysis method bi-exponential model with total-variation penalty function (BETV) at 3 time-points and histogram analysis was performed.Good-responders: Poor-responders ratio was 13 (37%):22 (63%). EFS and OS were 31% and 69% with 16.27 and 25.9 months of median duration respectively. For predicting poor-response to NACT, IVIM parameters showed AUC = 0.87, Sensitivity = 86%, Specificity = 77% at t0, and AUC = 0.96, Sensitivity = 86%, Specificity = 100% at t1. Multivariate Cox regression analysis showed smaller tumour volume (HR = 1.002, p = 0.001) higher ADC-25th-percentile (HR = 0.047, p = 0.005) & D-Mean (HR = 0.1, p = 0.023) and lower D*-Mean (HR = 1.052, p = 0.039) were independent predictors of longer EFS (log-rank p-values: 0.054, 0.0034, 0.0017, 0.0019 respectively) and non-metastatic disease (HR = 4.33, p < 10-3), smaller tumour-volume (HR = 1.001, p = 0.042), lower D*-Mean (HR = 1.045, p = 0.056) and higher D*.f-skewness (HR = 0.544, p = 0.048) were independent predictors of longer OS (log-rank p-values: < 10-3, 0.07, < 10-3, 0.019 respectively).IVIM parameters obtained with a 1.5T scanner along with novel BETV method and their histogram analysis indicating tumour heterogeneity were informative in characterizing NACT response and survival outcome in osteosarcoma.

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
香蕉觅云应助江旭晴采纳,获得10
刚刚
星辰大海应助无辜的井采纳,获得10
1秒前
思源应助MeSs采纳,获得10
1秒前
1秒前
1秒前
1秒前
xx-xxx发布了新的文献求助100
1秒前
火星上曼冬应助枯木逢春采纳,获得10
2秒前
2秒前
mslln发布了新的文献求助10
2秒前
深情安青应助zz采纳,获得10
2秒前
2秒前
赘婿应助hana采纳,获得10
2秒前
3秒前
3秒前
wrr发布了新的文献求助10
3秒前
4秒前
4秒前
Dddddd完成签到,获得积分10
4秒前
热心白枫完成签到,获得积分20
5秒前
5秒前
5秒前
mint完成签到,获得积分10
5秒前
6秒前
7秒前
孤蚀月发布了新的文献求助10
7秒前
7秒前
8秒前
平凡的七月完成签到,获得积分10
8秒前
学术蛔虫发布了新的文献求助10
8秒前
浮游应助戚金凤采纳,获得10
8秒前
Y1BOL发布了新的文献求助10
9秒前
9秒前
橙子发布了新的文献求助10
9秒前
韋晴发布了新的文献求助10
10秒前
稚生w发布了新的文献求助10
10秒前
10秒前
xxf发布了新的文献求助10
10秒前
熊熊发布了新的文献求助10
11秒前
12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
Predation in the Hymenoptera: An Evolutionary Perspective 1800
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
Atlas of Liver Pathology: A Pattern-Based Approach 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5508443
求助须知:如何正确求助?哪些是违规求助? 4603680
关于积分的说明 14486822
捐赠科研通 4537825
什么是DOI,文献DOI怎么找? 2486783
邀请新用户注册赠送积分活动 1469254
关于科研通互助平台的介绍 1441636