1
|
Sun J, Zhang W, Zhao Q, Wang H, Tao L, Zhou X, Wang X. Associated factors leading to misdiagnosis of a combined diagnostic model of different types of strain imaging and conventional ultrasound in evaluation of breast lesions: Selection strategy for using different types of strain imaging in evaluation of breast lesions. Eur J Radiol 2024; 176:111512. [PMID: 38788609 DOI: 10.1016/j.ejrad.2024.111512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 04/25/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024]
Abstract
OBJECTIVE To evaluate the effectiveness of a decision tree that integrates conventional ultrasound (CUS) with two different strain imaging (SI) techniques for diagnosing breast lesions, and to analyze the factors contributing to false negative (FN) and false positive (FP) in the decision tree's outcomes. MATERIALS AND METHODS Imaging and clinical data of 796 cases in the training set and 351 cases in the validation set were prospectively collected. A decision tree model that combines two types of SI and CUS was constructed, and its diagnostic performance was analyzed. Univariate analysis and multivariate analysis were applied to identify independent risk factors associated with FP and FN results of the decision tree model. RESULTS Size, shape, margin, vascularity, the types of internal calcifications, EI score and VTI pattern were found to be significantly independently associated with the diagnosis of benign and malignant breast lesions. Therefore, size, shape, margin, vascularity, EI score and VTI pattern were used to construct decision tree models. The Tree (EI+VTI) model had the highest AUC. Both in the training and validation groups, the AUC of Tree (EI+VTI) was significantly higher compared with that of EI, VTI, and BI-RADS (all, P < 0.05). Orientation, posterior acoustic features and the types of internal calcifications were significantly positively associated with misdiagnosis results of Tree (EI+VTI) in evaluation of breast lesions (all P < 0.05). CONCLUSION The diagnostic model based on a decision tree that integrates two distinct types of SI with CUS enhances the diagnostic accuracy of each method when used individually. This integration lowers the misdiagnosis rate, potentially assisting radiologists in more effective lesion assessments. When applying the decision tree model, attention should be paid to the orientation, posterior acoustic features, and the types of internal calcifications of the lesions.
Collapse
Affiliation(s)
- Jiawei Sun
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Wuyue Zhang
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Qingzhuo Zhao
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Hongbo Wang
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Lin Tao
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Xianli Zhou
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
| | - Xiaolei Wang
- Inpatient Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
| |
Collapse
|
2
|
Kumar A, Kempski Leadingham KM, Kerensky MJ, Sankar S, Thakor NV, Manbachi A. Visualizing tactile feedback: an overview of current technologies with a focus on ultrasound elastography. FRONTIERS IN MEDICAL TECHNOLOGY 2023; 5:1238129. [PMID: 37854637 PMCID: PMC10579802 DOI: 10.3389/fmedt.2023.1238129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/14/2023] [Indexed: 10/20/2023] Open
Abstract
Tissue elasticity remains an essential biomarker of health and is indicative of irregularities such as tumors or infection. The timely detection of such abnormalities is crucial for the prevention of disease progression and complications that arise from late-stage illnesses. However, at both the bedside and the operating table, there is a distinct lack of tactile feedback for deep-seated tissue. As surgical techniques advance toward remote or minimally invasive options to reduce infection risk and hasten healing time, surgeons lose the ability to manually palpate tissue. Furthermore, palpation of deep structures results in decreased accuracy, with the additional barrier of needing years of experience for adequate confidence of diagnoses. This review delves into the current modalities used to fulfill the clinical need of quantifying physical touch. It covers research efforts involving tactile sensing for remote or minimally invasive surgeries, as well as the potential of ultrasound elastography to further this field with non-invasive real-time imaging of the organ's biomechanical properties. Elastography monitors tissue response to acoustic or mechanical energy and reconstructs an image representative of the elastic profile in the region of interest. This intuitive visualization of tissue elasticity surpasses the tactile information provided by sensors currently used to augment or supplement manual palpation. Focusing on common ultrasound elastography modalities, we evaluate various sensing mechanisms used for measuring tactile information and describe their emerging use in clinical settings where palpation is insufficient or restricted. With the ongoing advancements in ultrasound technology, particularly the emergence of micromachined ultrasound transducers, these devices hold great potential in facilitating early detection of tissue abnormalities and providing an objective measure of patient health.
Collapse
Affiliation(s)
- Avisha Kumar
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
- HEPIUS Innovation Lab, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kelley M. Kempski Leadingham
- HEPIUS Innovation Lab, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Max J. Kerensky
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
- HEPIUS Innovation Lab, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sriramana Sankar
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Nitish V. Thakor
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Amir Manbachi
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
- HEPIUS Innovation Lab, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| |
Collapse
|
3
|
Jangjou A, Meisami AH, Jamali K, Niakan MH, Abbasi M, Shafiee M, Salehi M, Hosseinzadeh A, Amani AM, Vaez A. The promising shadow of microbubble over medical sciences: from fighting wide scope of prevalence disease to cancer eradication. J Biomed Sci 2021; 28:49. [PMID: 34154581 PMCID: PMC8215828 DOI: 10.1186/s12929-021-00744-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/10/2021] [Indexed: 12/29/2022] Open
Abstract
Microbubbles are typically 0.5-10 μm in size. Their size tends to make it easier for medication delivery mechanisms to navigate the body by allowing them to be swallowed more easily. The gas included in the microbubble is surrounded by a membrane that may consist of biocompatible biopolymers, polymers, surfactants, proteins, lipids, or a combination thereof. One of the most effective implementation techniques for tiny bubbles is to apply them as a drug carrier that has the potential to activate ultrasound (US); this allows the drug to be released by US. Microbubbles are often designed to preserve and secure medicines or substances before they have reached a certain area of concern and, finally, US is used to disintegrate microbubbles, triggering site-specific leakage/release of biologically active drugs. They have excellent therapeutic potential in a wide range of common diseases. In this article, we discussed microbubbles and their advantageous medicinal uses in the treatment of certain prevalent disorders, including Parkinson's disease, Alzheimer's disease, cardiovascular disease, diabetic condition, renal defects, and finally, their use in the treatment of various forms of cancer as well as their incorporation with nanoparticles. Using microbubble technology as a novel carrier, the ability to prevent and eradicate prevalent diseases has strengthened the promise of effective care to improve patient well-being and life expectancy.
Collapse
Affiliation(s)
- Ali Jangjou
- Department of Emergency Medicine, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amir Hossein Meisami
- Department of Emergency Medicine, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Kazem Jamali
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Hadi Niakan
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Milad Abbasi
- Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mostafa Shafiee
- Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Majid Salehi
- Department of Tissue Engineering, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
- Tissue Engineering and Stem Cells Research Center, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Ahmad Hosseinzadeh
- Thoracic and Vascular Surgery Research Center, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Mohammad Amani
- Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ahmad Vaez
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| |
Collapse
|
4
|
Kim J, Shin J, Kong C, Lee SH, Chang WS, Han SH. The synergistic effect of focused ultrasound and biophotonics to overcome the barrier of light transmittance in biological tissue. Photodiagnosis Photodyn Ther 2021; 33:102173. [PMID: 33529746 DOI: 10.1016/j.pdpdt.2020.102173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 12/09/2020] [Accepted: 12/23/2020] [Indexed: 11/28/2022]
Abstract
Optical technology is a tool to diagnose and treat human diseases. Shallow penetration depth caused by the high optical scattering nature of biological tissues is a significant obstacle to utilizing light in the biomedical field. In this paper, light transmission enhancement in the rat brain induced by focused ultrasound (FUS) was observed and the cause of observed enhancement was analyzed. Both air bubbles and mechanical deformation generated by FUS were cited as the cause. The Monte Carlo simulation was performed to investigate effects on transmission by air bubbles and finite element method was also used to describe mechanical deformation induced by motions of acoustic particles. As a result, it was found that the mechanical deformation was more suitable to describe the transmission change according to the FUS pulse observed in the experiment.
Collapse
Affiliation(s)
- Jaehyuk Kim
- Molecular Imaging, Princess Margaret Cancer Centre, Toronto, ON, Canada; Health and Medical Equipment, Samsung Electronics Co. Ltd., Suwon, Republic of Korea
| | - Jaewoo Shin
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chanho Kong
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung-Ho Lee
- Molecular Imaging, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Won Seok Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Hee Han
- Molecular Imaging, Princess Margaret Cancer Centre, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
5
|
Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-04957-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
6
|
Urban MW. Production of acoustic radiation force using ultrasound: methods and applications. Expert Rev Med Devices 2018; 15:819-834. [PMID: 30350736 DOI: 10.1080/17434440.2018.1538782] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Acoustic radiation force (ARF) is used in many biomedical applications. The transfer of momentum in acoustic waves can be used in a multitude of ways to perturb tissue and manipulate cells. AREAS COVERED This review will briefly cover the acoustic theory related to ARF, particularly that related to application in tissues. The use of ARF in measurement of mechanical properties will be treated in detail with emphasis on the spatial and temporal modulation of the ARF. Additional topics covered will be the manipulation of particles with ARF, correction of phase aberration with ARF, modulation of cellular behavior with ARF, and bioeffects related to ARF use. EXPERT COMMENTARY The use of ARF can be tailored to specific applications for measurements of mechanical properties or correction of focusing for ultrasound beams. Additionally, noncontact manipulation of particles and cells with ARF enables a wide array of applications for tissue engineering and biosensing.
Collapse
Affiliation(s)
- Matthew W Urban
- a Department of Radiology , Mayo Clinic , Rochester , MN , USA
| |
Collapse
|
7
|
Kim JH, Yeo S, Kim JW, Kim K, Song TK, Yoon C, Sung J. Real-Time Lossless Compression Algorithm for Ultrasound Data Using BL Universal Code. SENSORS 2018; 18:s18103314. [PMID: 30279390 PMCID: PMC6210540 DOI: 10.3390/s18103314] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 09/25/2018] [Accepted: 09/29/2018] [Indexed: 11/21/2022]
Abstract
Software-based ultrasound imaging systems provide high flexibility that allows easy and fast adoption of newly developed algorithms. However, the extremely high data rate required for data transfer from sensors (e.g., transducers) to the ultrasound imaging systems is a major bottleneck in the software-based architecture, especially in the context of real-time imaging. To overcome this limitation, in this paper, we present a Binary cLuster (BL) code, which yields an improved compression ratio compared to the exponential Golomb code. Owing to the real-time encoding/decoding features without overheads, the universal code is a good solution to reduce the data transfer rate for software-based ultrasound imaging. The performance of the proposed method was evaluated using in vitro and in vivo data sets. It was demonstrated that the BL-beta code has a good stable lossless compression performance of 20%~30% while requiring no auxiliary memory or storage.
Collapse
Affiliation(s)
- Jung Hoon Kim
- Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
| | - Sunmi Yeo
- Department of Electronic Engineering, Sogang University, Seoul 04107, Korea.
| | - Jong Won Kim
- Department of Healthcare IT, Inje University Kimhae, Gimhae 50834, Korea.
| | - Kyeongsoon Kim
- Department of Pharmaceutical Engineering, Inje University Kimhae, Gimhae 50834, Korea.
| | - Tai-Kyong Song
- Department of Electronic Engineering, Sogang University, Seoul 04107, Korea.
| | - Changhan Yoon
- Department of Biomedical Engineering, Inje University Kimhae, Gimhae 50834, Korea.
| | - Joohon Sung
- Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
| |
Collapse
|