Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing
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DOI：
10.3390/s20051539
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发表时间：
2020-03-01
期刊：
影响因子：
3.9
通讯作者：
Wong, Alexander
中科院分区：
文献类型：
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作者：
Dulhanty, Chris;Wang, Linda;Wong, Alexander
前列腺癌是北美男性最常见的癌症；然而，如果早期诊断，预后相对较好。这激发了对快速可靠的前列腺癌检测的需求。近年来，扩散加权成像（DWI）作为一种快速、无创的癌症检测方法得到了广泛的关注。目前最常用的DWI感知方式是表观扩散系数（ADC）成像，最近引入的计算高b值扩散加权成像（CHB-DWI）在癌症感知方面显示出相当大的前景。在本研究中，我们通过引入几种放射组学驱动的区域水平前列腺癌传感策略，研究ADC和CHB-DWI传感模式在应用于区域水平前列腺癌传感时的功效，这些策略围绕手工设计的来自DWI传感的放射组学序列（我们称之为区域- x传感策略）。此外，我们还提出了Zone-DR，这是一种基于区域级深部放射组学测序仪发现的发现放射组学方法，可直接发现放射组学序列，用于放射组学驱动的传感。通过101例患者不同DWI感知方式获得的12466个病理验证区实验结果表明：(i)引入的Zone-X和Zone-DR放射组学驱动感知策略在AUC方面显著优于传统的临床启发式驱动策略，（ii）引入的Zone-DR和Zone-SVM策略在测试的放射组学驱动策略中分别对ADC具有最高的敏感性和特异性，（iii）引入的Zone-DR和Zone-LR策略在测试的放射组学驱动策略中对CHB-DWI具有最高的敏感性。（iv）在测试的放射组学驱动策略中，引入的Zone-DR、Zone-LR和Zone-SVM策略对CHB-DWI的特异性最高。此外，结果表明，敏感性和特异性之间的权衡可以根据我们希望采用放射组学驱动的DWI前列腺癌传感策略的特定临床情况进行优化，例如临床筛查与手术计划。最后，我们研究了传感数据中的关键区域，这些区域导致由区域- dr测序仪生成给定的放射组学序列，使用可解释性方法来更深入地了解对区域水平癌症传感重要的生物标志物。
Prostate cancer is the most commonly diagnosed cancer in North American men; however, prognosis is relatively good given early diagnosis. This motivates the need for fast and reliable prostate cancer sensing. Diffusion weighted imaging (DWI) has gained traction in recent years as a fast non-invasive approach to cancer sensing. The most commonly used DWI sensing modality currently is apparent diffusion coefficient (ADC) imaging, with the recently introduced computed high-b value diffusion weighted imaging (CHB-DWI) showing considerable promise for cancer sensing. In this study, we investigate the efficacy of ADC and CHB-DWI sensing modalities when applied to zone-level prostate cancer sensing by introducing several radiomics driven zone-level prostate cancer sensing strategies geared around hand-engineered radiomic sequences from DWI sensing (which we term as Zone-X sensing strategies). Furthermore, we also propose Zone-DR, a discovery radiomics approach based on zone-level deep radiomic sequencer discovery that discover radiomic sequences directly for radiomics driven sensing. Experimental results using 12,466 pathology-verified zones obtained through the different DWI sensing modalities of 101 patients showed that: (i) the introduced Zone-X and Zone-DR radiomics driven sensing strategies significantly outperformed the traditional clinical heuristics driven strategy in terms of AUC, (ii) the introduced Zone-DR and Zone-SVM strategies achieved the highest sensitivity and specificity, respectively for ADC amongst the tested radiomics driven strategies, (iii) the introduced Zone-DR and Zone-LR strategies achieved the highest sensitivities for CHB-DWI amongst the tested radiomics driven strategies, and (iv) the introduced Zone-DR, Zone-LR, and Zone-SVM strategies achieved the highest specificities for CHB-DWI amongst the tested radiomics driven strategies. Furthermore, the results showed that the trade-off between sensitivity and specificity can be optimized based on the particular clinical scenario we wish to employ radiomic driven DWI prostate cancer sensing strategies for, such as clinical screening versus surgical planning. Finally, we investigate the critical regions within sensing data that led to a given radiomic sequence generated by a Zone-DR sequencer using an explainability method to get a deeper understanding on the biomarkers important for zone-level cancer sensing.