期刊论文详细信息
Journal of Translational Medicine
Non-invasive intravoxel incoherent motion MRI in prediction of histopathological response to neoadjuvant chemotherapy and survival outcome in osteosarcoma at the time of diagnosis
Research
Esha Baidya Kayal1  Amit Mehndiratta2  Sameer Bakhshi3  Shah Alam Khan4  Venkatesan Sampath Kumar4  Mehar Chand Sharma5  Kedar Khare6  Raju Sharma7  Devasenathipathy Kandasamy7 
[1] Centre for Biomedical Engineering, Indian Institute of Technology Delhi, 110016, Hauz Khas, New Delhi, India;Centre for Biomedical Engineering, Indian Institute of Technology Delhi, 110016, Hauz Khas, New Delhi, India;Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India;Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences, New Delhi, India;Department of Orthopaedics, All India Institute of Medical Sciences, New Delhi, India;Department of Pathology, All India Institute of Medical Sciences, New Delhi, India;Department of Physics, Indian Institute of Technology Delhi, New Delhi, India;Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India;
关键词: Intravoxel incoherent motion;    Diffusion weighted imaging;    Biomarkers;    Chemotherapy response evaluation;    Survival outcome;    Osteosarcoma;   
DOI  :  10.1186/s12967-022-03838-1
 received in 2022-10-04, accepted in 2022-12-19,  发布年份 2022
来源: Springer
PDF
【 摘 要 】

BackgroundEarly 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.MethodsTotal 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.ResultsGood-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).ConclusionIVIM 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.

【 授权许可】

CC BY   
© The Author(s) 2022

【 预 览 】
附件列表
Files Size Format View
RO202305064931367ZK.pdf 2722KB PDF download
Fig. 2 547KB Image download
40249_2022_1045_Article_IEq20.gif 1KB Image download
41408_2022_764_Article_IEq11.gif 1KB Image download
12864_2022_9026_Article_IEq55.gif 1KB Image download
MediaObjects/13690_2022_994_MOESM1_ESM.docx 42KB Other download
Fig. 2 1100KB Image download
Fig. 1 879KB Image download
MediaObjects/41408_2022_759_MOESM9_ESM.xls 851KB Other download
【 图 表 】

Fig. 1

Fig. 2

12864_2022_9026_Article_IEq55.gif

41408_2022_764_Article_IEq11.gif

40249_2022_1045_Article_IEq20.gif

Fig. 2

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  文献评价指标  
  下载次数:7次 浏览次数:0次