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Use of Radiological Clips for Improving Quantitative Ultrasound Imaging

使用放射夹改善定量超声成像

基本信息

批准号：
10615670
负责人：
Michael L. Oelze
金额：
$ 53.76万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10615670
关键词：
Accounting Adjuvant Chemotherapy Adoption Anatomy Animal Cancer Model Animal Model Animals Breast Breast Cancer Model Breast Cancer Patient Breast Cancer therapy Calibration Cancer Detection Cell Death Classification Clinic Clinical Clinical Research Clip Cosmetics Data Diagnosis Diagnostic Early identification Female Gold Human Imaging Techniques In Situ In complete remission Longitudinal Studies Magnetic Resonance Imaging Malignant Neoplasms Mammography Medical Monitor Neoadjuvant Therapy North America Operative Surgical Procedures Outcome Pathologic Patients Physical assessment Procedures Process Property Radiation therapy Radiology Specialty Recurrence Research Residual Cancers Roentgen Rays Shapes Signal Transduction Surgeon Techniques Testing Time Tissues Titanium Translating Ultrasonics Ultrasonography Woman advanced breast cancer attenuation chemotherapy clinical imaging electric impedance hormone therapy human study improved in vivo malignant breast neoplasm man novel predicting response quantitative ultrasound responders and non-responders response standard care technology validation tool transmission process treatment response tumor ultrasound

项目摘要

Project Summary Radiological markers or clips are an essential diagnostic and surgical tool. Radiological clips made of titanium or gold are widely used, compatible with MRI and have proven safe for use in human patients. These clips come in many shapes and sizes and are visible with both X-ray and ultrasound. The clips provide large ultrasonic scattering signals because they are made of gold or titanium, which have large impedance mismatch with tissue. For example, patients with locally advanced breast cancer (LABC) undergoing neoadjuvant chemotherapy have clips placed in the tumors so that surgeons can locate and excise, with accuracy, residual cancer tissue. Over the last fifteen years, we have been developing quantitative ultrasound (QUS) imaging techniques for a number of applications including monitoring of therapy response. We have demonstrated that QUS techniques can detect the response of tumors to therapy because QUS is sensitive to the presence of cell death. Recently, we were able to implement this approach in a small clinical study, where we demonstrated the ability of QUS to definitively detect and predict the response of LABC patients to chemotherapy between one and four weeks from therapy onset. We verified that QUS could identify LABC therapy responders and nonresponders. However, we hypothesize that accuracies of QUS estimates in humans can be dramatically improved by incorporating a novel calibration procedure that utilizes appropriate radiological clips as an in situ calibration target. Clinically, these clips are already being placed in tumors for various diagnostic tasks. By inserting an appropriate type of clip, the clip can be used as an in situ calibration providing a reference signal for QUS estimates. The in situ reference will automatically correct for attenuation and transmission losses from overlying tissue layers. Current reference phantom techniques are incomplete in providing corrections for attenuation and transmission losses. Therefore, the use of appropriate radiological clips as calibration targets will provides superior bias and variance of QUS estimates resulting in improved accuracy for identifying LABC response. The scientific premise of the proposed research is that radiological markers used for X-ray and conventional ultrasound can also be used as an in situ calibration target for improving QUS estimates in vivo. Novel calibration procedures will be tested and refined in phantom studies, in animals models of cancer and finally validated in human breast cancer patients undergoing neoadjuvant chemotherapy using QUS to identify early responders to therapy. To verify this scientific premise we propose three specific aims. 1) Develop and refine an in situ calibration approach in phantom studies that accounts for layering effects on QUS estimates thereby improving QUS estimate accuracy. 2) Validate the in situ calibration approach in animal models of cancer and quantify calibration properties in a longitudinal study. 3) Collect longitudinal QUS patient data at early time points during the course of neoadjuvant chemotherapy using a novel in situ calibration procedure and quantify the improvements of QUS classifier accuracy with the in situ calibration approach.

项目总结

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions.

使用设置传输功能，在基于深度学习的定量超声中校准数据不匹配。

DOI：
10.1109/tuffc.2023.3263119
发表时间：
2023-06
期刊：
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
影响因子：
3.6
作者：
Soylu, Ufuk;Oelze, Michael L.
通讯作者：
Oelze, Michael L.

High-Level Synthesis Design of Scalable Ultrafast Ultrasound Beamformer With Single FPGA.

DOI：
10.1109/tbcas.2023.3267614
发表时间：
2023-06
期刊：
IEEE transactions on biomedical circuits and systems
影响因子：
5.1
作者：
通讯作者：

Combined Therapy Planning, Real-Time Monitoring, and Low Intensity Focused Ultrasound Treatment Using a Diagnostic Imaging Array.

DOI：
10.1109/tmi.2021.3140176
发表时间：
2022-06
期刊：
IEEE transactions on medical imaging
影响因子：
10.6
作者：
通讯作者：

Effects of acoustic nonlinearity on communication performance in soft tissues.

声学非线性对软组织通信性能的影响。

DOI：
10.1121/10.0015402
发表时间：
2022
期刊：
The Journal of the Acoustical Society of America
影响因子：
0
作者：
Tabak,Gizem;Oelze,MichaelL;Singer,AndrewC
通讯作者：
Singer,AndrewC

A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training.

DOI：
10.1109/tuffc.2023.3245988
发表时间：
2023-05
期刊：
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
影响因子：
3.6
作者：
Soylu, Ufuk;Oelze, Michael L.
通讯作者：
Oelze, Michael L.

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Michael L. Oelze其他文献

Detection and localization of small metastatic foci in human lymph nodes using three-dimensional high-frequency quantitative ultrasound methods

使用三维高频定量超声方法检测和定位人体淋巴结中的小转移灶

DOI：
发表时间：
2011
期刊：
影响因子：
0
作者：
Jonathan Mamou;Emi Saegusa-Beecroft;Alain Coron;Michael L. Oelze;Masaki Hata;Junji Machi;Eugene Yanagihara;Pascal Laugier;Tadashi Yamaguchi;Ernest J. Feleppa
通讯作者：
Ernest J. Feleppa