Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors

IF 3.4 2区 医学 Q2 Medicine
Qizheng Wang , Yongye Chen , Guangjin Zhou , Tongyu Wang , Jingchao Fang , Ke Liu , Siyuan Qin , Weili Zhao , Dapeng Hao , Ning Lang
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引用次数: 0

Abstract

Background

Risk stratification of spinal tumors is a major unmet clinical need for personalized therapy.

Purpose

To explore the feasibility of pretreatment whole-lesion apparent diffusion coefficient (ADC) histogram in predicting local recurrence of aggressive spinal tumors.

Methods

119 aggressive spinal tumor patients (median age, 40; range, 13–74  years) confirmed by pathological findings with a mean follow-up of 36 months were enrolled and divided into the recurrence and non-recurrence group. The histogram metrics of whole-lesion, including the maximum, mean, kurtosis, skewness, entropy, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values, were evaluated and take the average. Fractal dimension (FD) was assessed in the three orthogonal directions and take maximum. Clinical and general imaging features were used to construct an alternative prognostic model for comparison. Variables with statistical differences would be included in stepwise logistic regression analysis.

Results

As for the clinical model, Enneking staging (odds ratio [OR]: 3.572; P = 0.04) and vertebral compression (OR: 4.302; P = 0.002) were independent predictors of recurrence. There was no statistical difference in FD between the two groups (P = 0.623). Among the ADC histogram parameters compared, skewness, maximum, and mean ADC values were independent risk factors and constructed ADC histogram prediction models. The ADC histogram model (AUC = 0.871) and the combined model (AUC = 0.884) performed better than the clinical prediction model (AUC = 0.704) with P-values of 0.004 and 0.001, respectively.

Conclusion

Prediction models based on the ADC histogram analysis might represent serviceable instruments for the aggressive spinal tumors.

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来源期刊
CiteScore
7.20
自引率
2.90%
发文量
50
审稿时长
34 days
期刊介绍: The Journal of Bone Oncology is a peer-reviewed international journal aimed at presenting basic, translational and clinical high-quality research related to bone and cancer. As the first journal dedicated to cancer induced bone diseases, JBO welcomes original research articles, review articles, editorials and opinion pieces. Case reports will only be considered in exceptional circumstances and only when accompanied by a comprehensive review of the subject. The areas covered by the journal include: Bone metastases (pathophysiology, epidemiology, diagnostics, clinical features, prevention, treatment) Preclinical models of metastasis Bone microenvironment in cancer (stem cell, bone cell and cancer interactions) Bone targeted therapy (pharmacology, therapeutic targets, drug development, clinical trials, side-effects, outcome research, health economics) Cancer treatment induced bone loss (epidemiology, pathophysiology, prevention and management) Bone imaging (clinical and animal, skeletal interventional radiology) Bone biomarkers (clinical and translational applications) Radiotherapy and radio-isotopes Skeletal complications Bone pain (mechanisms and management) Orthopaedic cancer surgery Primary bone tumours Clinical guidelines Multidisciplinary care Keywords: bisphosphonate, bone, breast cancer, cancer, CTIBL, denosumab, metastasis, myeloma, osteoblast, osteoclast, osteooncology, osteo-oncology, prostate cancer, skeleton, tumour.
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