Detection of prostate Cancer Specific Signals with Hybrid Multi-Dimensional MRI

使用混合多维 MRI 检测前列腺癌特异性信号

• 批准号: 10600041
• 负责人: Gregory S. Karczmar
• 金额: $ 52.48万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-03 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10600041
• 关键词: 3-Dimensional; Agreement; Area; Benign; Benign Prostatic Hypertrophy; Biopsy; Characteristics; Clinical; Data; Data Set; Detection; Diagnosis; Diagnostic; Diffusion; Diffusion Magnetic Resonance Imaging; Dimensions; Epithelium; Evaluation; Financial cost; Gleason Grade for Prostate Cancer; Goals; Histology; Hybrids; Image; Laboratories; Magnetic Resonance Imaging; Malignant Neoplasms; Malignant neoplasm of prostate; Measurement; Measures; Methods; Modeling; Normal tissue morphology; Operative Surgical Procedures; PSA level; Pathologist; Patient Schedules; Patients; Play; Procedures; Property; Prostate; Prostatectomy; Publishing; ROC Curve; Rectum; Resolution; Role; Scanning; Schedule; Screening for Prostate Cancer; Signal Transduction; Spatial Distribution; Specimen; Stains; Testing; Tissues; Transrectal Ultrasound; Work; accurate diagnostics; cancer diagnosis; clinical application; clinical efficacy; clinically significant; detection method; diagnostic accuracy; digital; improved; in vivo; men; men' s group; novel strategies; prognostic; prostate biopsy; prostatitis; rectal; routine screening; screening; serum PSA; soft tissue

ABSTRACT There is a critical need for new alternatives for screening and diagnosis of prostate cancer (PCa). Current methods for detecting and diagnosing prostate cancer (PCa), including serum PSA level, DRE (digital rectal exam), and TRUS-guided (transrectal ultrasound) random prostate biopsy are seriously flawed since they are unreliable and lead to procedures that often do not help and frequently harm patients, at high financial costs. MRI has potential to improve detection and management of PCa, due to its excellent soft tissue contrast and functional information. Nevertheless there is, as of yet, no MRI method that is adequate for routine screening or for guiding biopsies. To be clinically useful –MRI must identify clinically significant cancers (Gleason 7 or higher) and distinguish them from normal prostate, benign changes, and Gleason 6 ‘cancers’. In this resubmission, we propose to extend our previous work on hybrid multi-dimensional MRI (HM-MRI), based on the combination of T2-weighted and diffusion-weighted imaging. This approach is very different from conventional MRI measurements of T2 and ‘apparent diffusion coefficient’ (ADC). Conventional methods treat T2 and ADC as independent parameters. In contrast, HM-MRI measures the change in T2 as a function of ‘b’ value, and the change in ADC as a function of ‘TE’. HM-MRI exploits the interdependence of T2 and ADC and distinct MR properties of prostate tissue components to increase diagnostic accuracy of PCa diagnosis. We will analyze HM-MRI data to extract volume fractions of the luminal, epithelial, and stromal compartments, and the ADC and T2 of each compartment in each image voxel. Volume fractions of these tissue compartments, when measured using quantitative histology, are known to provide high diagnostic accuracy. This proposal is significantly revised to respond to the previous review. We will test the hypotheses that: 1. HM-MRI data can identify clinically significant PCa, by non-invasively measuring epithelial, stromal, and luminal volume fractions, to provide information similar to quantitative histology. 2. In addition, HM-MRI provides the T2 and ADC of each compartment, and the volume and spatial distribution of these compartments. This information may increase diagnostic accuracy, and cannot be easily obtained from histology. As a result, HM-MRI combined with compartmental analysis can be used clinically to provide high diagnostic accuracy, and non-invasive assessment of PCa aggressiveness.

抽象的 目前迫切需要新的替代方案来筛查和诊断前列腺癌 (PCa)。 检测和诊断前列腺癌（PCa）的方法，包括血清 PSA 水平、DRE（直肠指检） 检查）和 TRUS 引导（经直肠超声）随机前列腺活检存在严重缺陷，因为它们 不可靠，导致手术往往对患者没有帮助，而且常常伤害患者，而且经济成本很高。 由于其出色的软组织对比度和 然而，迄今为止，还没有足够的 MRI 方法进行常规筛查或检查。 为了指导活检，MRI 必须识别临床上显着的癌症（Gleason 7 或 更高）并将其与正常前列腺、良性病变和 Gleason 6“癌症”区分开来。 在这次重新提交中，我们建议扩展我们之前在混合多维 MRI（HM-MRI）方面的工作， 这种方法与基于 T2 加权和扩散加权成像的组合有很大不同。 常规 MRI 测量 T2 和“表观弥散系数”(ADC)。 T2 和 ADC 作为独立参数，相比之下，HM-MRI 将 T2 的变化测量为“b”的函数。 值，并且 ADC 作为“TE”函数的变化利用了 T2 和 ADC 的相互依赖性。 前列腺组织成分的独特 MR 特性可提高 PCa 诊断的准确性。 我们将分析 HM-MRI 数据以提取管腔、上皮和基质室的体积分数， 以及每个图像体素中每个隔室的 ADC 和 T2。 众所周知，当使用定量组织学测量时，隔室可以提供高诊断准确性。 为了回应之前的审查，该提案进行了重大修改，我们将测试以下假设： 1. HM-MRI 数据可以通过非侵入性测量上皮、间质和细胞来识别具有临床意义的 PCa。 管腔体积分数，提供类似于定量组织学的信息。 2. 另外，HM-MRI提供各室的T2和ADC，以及体积和空间分布 这些隔室的信息可以提高诊断的准确性，并且不能轻易地从其中获得。 组织学。 因此，HM-MRI 结合房室分析可在临床上提供高诊断率 PCa 侵袭性的准确性和非侵入性评估。

项目成果

Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue.

MRI 数据的多模型顺序分析，用于异质组织的微观结构预测。

• 发表时间: 2023-10-01
• 影响因子: 4.6
• 作者: Enríquez;Chatterjee, Aritrick;Antic, Tatjana;Oto, Aytekin;Karczmar, Gregory;Bourne, Roger
• 通讯作者: Bourne, Roger