• Title/Summary/Keyword: Ultrasound Diagnosis

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Usefulness of X-ray Guided Biopsy and Ultrasound Guided Biopsy in Breast Microcalcification Biopsy (유방 미세석회화 조직검사에서 X선 유도 하 조직검사와 초음파 유도 하 조직검사의 유용성)

  • Choi, Miseon;Song, Jongnam
    • Journal of the Korean Society of Radiology
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    • v.10 no.3
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    • pp.201-206
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    • 2016
  • Social interest in breast cancer has increased. The most basic exams for diagnosis include breast X-ray and breast ultrasound. In particular, breast microcalcification requires histological diagnosis, and breast microcalcification biopsy is commonly performed. Therefore, this study aimed to analyze and assess X-ray guided biopsy (needle localized open biopsy) and ultrasound guided biopsy (sono guided core needle biopsy), which are basics in diagnosis of microcalcification. Targeting 241 cases in which magnification mammography was performed for patients who visited the hospital due to breast microcalcification, age distribution and the location of lesions were analyzed in X-ray guided biopsy and ultrasound guided biopsy. By classifying exams performed after magnification mammography, the frequencies of X-ray guided biopsy and ultrasound guided biopsy were analyzed, and malignant and benign results were confirmed. The results showed that 64 cases(26.6%) were X-ray guided biopsy, which was 5.4 times higher than 12 cases(4.9%) of ultrasound guided biopsy. Due to development of ultrasound equipments, stereotactic vacuum-assisted biopsy, etc. the methods of histological diagnosis of microcalcification have become diverse, but when considering characteristics and limitations of each exam, X-ray guided biopsy is thought to be most accurate and useful.

Development of Master-slave System for Robot-assisted Remote Ultrasound Diagnosis (로봇 지원 원격 초음파 영상진단을 위한 마스터-슬레이브 시스템의 개발)

  • Seo, Joonho;Cho, Jang Ho;Kwon, Ohwon
    • The Journal of Korea Robotics Society
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    • v.12 no.4
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    • pp.395-401
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    • 2017
  • In this paper, we introduce a robot-assisted medical diagnostic system that enables remote ultrasound (US) imaging to be applied to the conventional telemedicine, which has been possible only with interviewing or a visual exam. In particular, a master-slave robot system is developed that ultrasonic diagnosis specialist can control the position and orientation of US probe in the remote place. The slave robot is designed to be compact, lightweight, and hand-held so that it can easily transfer to the remote healthcare center. Moreover, 6-degree-of-freedom (DOF) probe motion is possible by the robot design based on Stewart platform. The master device is also based on a similar structure of the slave robot. To connect master and slave system in the wide area network (WAN) environment, a hardware CODEC was developed. In this paper, we introduce the detail of each component and the results of the recent experiments conducted in the remote sites by the developed robotic ultrasound imaging system.

Artificial Intelligence-Based Breast Nodule Segmentation Using Multi-Scale Images and Convolutional Network

  • Quoc Tuan Hoang;Xuan Hien Pham;Anh Vu Le;Trung Thanh Bui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.678-700
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    • 2023
  • Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.

The Cause and Sonographic Diagnosis of Common Foot and Ankle Diseases (흔한 족부 및 족관절 질환의 원인과 초음파적 진단)

  • Ahn, Jae Hoon
    • The Journal of Korean Orthopaedic Ultrasound Society
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    • v.2 no.1
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    • pp.27-36
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    • 2009
  • Musculoskeletal sonography is rapidly developing due to the merits such as relatively low cost and possibility of dynamic study. Sonography can be helpful and easily introduced for the diagnosis of the foot and ankle disease. This review tried to clarify the cause and sonographic diagnosis of common foot and ankle diseases.

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Ultrasound Image Classification of Diffuse Thyroid Disease using GLCM and Artificial Neural Network (GLCM과 인공신경망을 이용한 미만성 갑상샘 질환 초음파 영상 분류)

  • Eom, Sang-Hee;Nam, Jae-Hyun;Ye, Soo-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.956-962
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    • 2022
  • Diffuse thyroid disease has ambiguous diagnostic criteria and many errors occur according to the subjective diagnosis of skilled practitioners. If image processing technology is applied to ultrasound images, quantitative data is extracted, and applied to a computer auxiliary diagnostic system, more accurate and political diagnosis is possible. In this paper, 19 parameters were extracted by applying the Gray level co-occurrence matrix (GLCM) algorithm to ultrasound images classified as normal, mild, and moderate in patients with thyroid disease. Using these parameters, an artificial neural network (ANN) was applied to analyze diffuse thyroid ultrasound images. The final classification rate using ANN was 96.9%. Using the results of the study, it is expected that errors caused by visual reading in the diagnosis of thyroid diseases can be reduced and used as a secondary means of diagnosing diffuse thyroid diseases.

Conventional Ultrasonography and Real Time Ultrasound Elastography in the Differential Diagnosis of Degenerating Cystic Thyroid Nodules Mimicking Malignancy and Papillary Thyroid Carcinomas

  • Wu, Hong-Xun;Zhang, Bing-Jie;Wang, Jun;Zhu, Bei-Lin;Zang, Ya-Ping;Cao, Yue-Long
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.2
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    • pp.935-940
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    • 2013
  • Background: To evaluate the diagnostic utility of conventional ultrasonography and real time ultrasound elastography in differentiating degenerating cystic thyroid nodules mimicking malignancy from papillary thyroid carcinoma. Methods: We retrospectively analyzed conventional ultrasonographic and elastographic characteristics of 19 degenerating cystic thyroid nodules mimicking malignancy in 19 patients, with 30 surgically confirmed PTCs as controls. Based on size, the nodules had been grouped into less than 10mm (group A) and greater than 10 mm (group B). We evaluated conventional parameters and elasticity pattern. Color-scaled elastograms were graded as to stiffness of nodules using an elasticity pattern from I (soft) to IV (stiff). Results: Degenerating cystic thyroid nodules were similar to PTCs in conventional ultrasonographic findings, but the former frequently showed oval to round in shape (group A, 69.2% vs 18.8%, P=0.017; group B, 66.7% vs 7.14%, P=0.017) and punctuate hyperechoic foci (group A, 61.5% vs 0, P<0.001; group B, 50% vs 0, P<0.001). On real time ultrasound elastography, 7 of 13 degenerating cystic thyroid nodules in group A were pattern I, 5 were pattern II, 1 was pattern III. One degenerating cystic thyroid nodule in group B was pattern II, 5 were pattern III. The area under the curve for elastography was 0.98 in group A (sensitivity 92.3%, specificity 100%, P = 0.002), and 0.88 in group B (sensitivity 16.7%, specificity 100%, P = 0.014). Conclusions: As a dependable imaging technique, elastography helps increase the performance in differential diagnosis of degenerating cystic thyroid nodule and malignancy.

Ultrasound Diagnosis of Double Crush Syndrome of the Ulnar Nerve by the Anconeus Epitrochlearis and a Ganglion

  • Lee, Sang-Uk;Kim, Min-Wook;Kim, Jae Min
    • Journal of Korean Neurosurgical Society
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    • v.59 no.1
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    • pp.75-77
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    • 2016
  • Double compression of the ulnar nerve, including Guyon's canal syndrome associated with cubital tunnel syndrome caused by the anconeus epitrochlearis muscle, is a very rare condition. We present a case of double crush syndrome of the ulnar nerve at the wrist and elbow in a 55-year-old man, as well as a brief review of the literature. Although electrodiagnostic findings were consistent with an ulnar nerve lesion only at the elbow, ultrasonography revealed a ganglion compressing the ulnar nerve at the hypothenar area and the anconeus epitrochlearis muscle lying in the cubital tunnel. Careful physical examination and ultrasound assessment of the elbow and wrist confirmed the clinical diagnosis prior to surgery.

Clinical Application of Endobronchial Ultrasound Guided Transbronchial Needle Aspiration (Endobronchial Ultrasound Guided Transbronchial Needle Aspiration의 임상적 유용성)

  • HwangBo, Bin
    • Korean Journal of Bronchoesophagology
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    • v.14 no.2
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    • pp.5-9
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    • 2008
  • Endobronchial ultrasound guided transbronchial needle aspiration is a recently introduceddiagnostic method which enables real time aspiration of peritracheal and peribronchial lesions. The high sensitivity and the high diagnostic accuracy of EBUS-TBNA in the mediastinal staging of lung cancer have been reported. EBUS-TBNA also showed the high diagnostic yield in the diagnosis of lung parenchymal masses adjacent to the trachea or the large airways. EBUS-TBNA is a good diagnostic method for mediastinal diseases, such as sarcoidosis. Until now, no major complications of EBUS-TBNA have been reported. EBUS-TBNA should be considered for the mediastinal staging of lung cancer and the diagnosis of mediastinal lymphadenopathies.

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Real-time Ultrasound Contexts Segmentation Based on Ultrasound Image Characteristic (초음파 영상 특성을 이용한 실시간 초음파 영역 추출방법)

  • Choi, Sung Jin;Lee, Min Woo
    • Journal of Biomedical Engineering Research
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    • v.40 no.5
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    • pp.179-188
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    • 2019
  • In ultrasound telemedicine, it is important to reduce the size of the data by compressing the ultrasound image when sending it. Ultrasound images can be divided into image context and other information consisting of patient ID, date, and several letters. Between them, ultrasound context is very important information for diagnosis and should be securely preserved as much as possible. In several previous papers, ultrasound compression methods were proposed to compress ultrasound context and other information into different compression parameters. This ultrasound compression method minimized the loss of ultrasound context while greatly compressing other information. This paper proposed the method of automatic segmentation of ultrasound context to overcome the limitation of the previously described ultrasound compression method. This algorithm was designed to robust for various ultrasound device and to enable real-time operation to maintain the benefits of ultrasound imaging machine. The operation time of extracting ultrasound context through the proposed segmentation method was measured, and it took 311.11 ms. In order to optimize the algorithm, the ultrasound context was segmented with down sampled input image. When the resolution of the input image was reduced by half, the computational time was 126.84 ms. When the resolution was reduced by one-third, it took 45.83 ms to segment the ultrasound context. As a result, we verified through experiments that the proposed method works in real time.

Usefulness of Ultrasound for Detecting Suspected Peripheral Nerve Lesions in Diagnosis of Peripheral Neuropathy : Case Report and Brief Review of the Literature

  • Jung, Jae-Hyun;Kim, Kwang-Hai;Choi, Soon-Kyoo;Shim, Jae-Hyun
    • Journal of Korean Neurosurgical Society
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    • v.53 no.2
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    • pp.132-135
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    • 2013
  • Ultrasound scanning of a peripheral nerve along its expected course is a simple and useful method for determining the cause of peripheral neuropathy. We present 3 cases of peripheral neuropathy in which the pathology was detected by simple ultrasound scanning of the affected nerve. There were 2 cases of entrapment neuropathy due to mucoid cyst and 1 case of nerve sheath tumor. All lesions were visualized by simple ultrasound scanning of the involved peripheral nerve. Our results suggest that if a lesion affecting the peripheral nerve is suspected after history and physical examination or electrophysiologic studies, ultrasound scanning of the peripheral nerve of interest throughout its course is very helpful for identifying the causative lesion.