• 제목/요약/키워드: Breast Density

검색결과 241건 처리시간 0.022초

A Prospective Study on the Value of Ultrasound Microflow Assessment to Distinguish Malignant from Benign Solid Breast Masses: Association between Ultrasound Parameters and Histologic Microvessel Densities

  • Ah Young Park;Myoungae Kwon;Ok Hee Woo;Kyu Ran Cho;Eun Kyung Park;Sang Hoon Cha;Sung Eun Song;Ju-Han Lee;JaeHyung Cha;Gil Soo Son;Bo Kyoung Seo
    • Korean Journal of Radiology
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    • 제20권5호
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    • pp.759-772
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    • 2019
  • Objective: To investigate the value of ultrasound (US) microflow assessment in distinguishing malignant from benign solid breast masses as well as the association between US parameters and histologic microvessel density (MVD). Materials and Methods: Ninety-eight breast masses (57 benign and 41 malignant) were examined using Superb Microvascular Imaging (SMI) and contrast-enhanced US (CEUS) before biopsy. Two radiologists evaluated the quantitative and qualitative vascular parameters on SMI (vascular index, morphology, distribution, and penetration) and CEUS (time-intensity curve analysis and enhancement characteristics). US parameters were compared between benign and malignant masses and the diagnostic performance was compared between SMI and CEUS. Subgroup analysis was performed according to lesion size. The effect of vascular parameters on downgrading Breast Imaging Reporting and Data System (BI-RADS) category 4A masses was evaluated. The association between histologic MVD and US parameters was analyzed. Results: Malignant masses were associated with a higher vascular index (15.1 ± 7.3 vs. 5.9 ± 5.6), complex vessel morphology (82.9% vs. 42.1%), central vascularity (95.1% vs. 59.6%), penetrating vessels (80.5% vs. 31.6%) on SMI (all, p < 0.001), as well as higher peak intensity (37.1 ± 25.7 vs. 17.0 ± 15.8, p < 0.001), slope (10.6 ± 11.2 vs. 3.9 ± 4.2, p = 0.001), area (1035.7 ± 726.9 vs. 458.2 ± 410.2, p < 0.001), hyperenhancement (95.1% vs. 70.2%, p = 0.005), centripetal enhancement (70.7% vs. 45.6%, p = 0.023), penetrating vessels (65.9% vs. 22.8%, p < 0.001), and perfusion defects (31.7% vs. 3.5%, p < 0.001) on CEUS (p ≤ 0.023). The areas under the receiver operating characteristic curve (AUCs) of SMI and CEUS were 0.853 and 0.841, respectively (p = 0.803). In 19 masses measuring < 10 mm, central vascularity on SMI was associated with malignancy (100% vs. 38.5%, p = 0.018). Considering all benign SMI parameters on the BI-RADS assessment, unnecessary biopsies could be avoided in 12 category 4A masses with improved AUCs (0.500 vs. 0.605, p < 0.001). US vascular parameters associated with malignancy showed higher MVD (p ≤ 0.016). MVD was higher in malignant masses than in benign masses, and malignant masses negative for estrogen receptor or positive for Ki67 had higher MVD (p < 0.05). Conclusion: US microflow assessment using SMI and CEUS is valuable in distinguishing malignant from benign solid breast masses, and US vascular parameters are associated with histologic MVD.

유방암 생존자의 장기간 복합 운동중재에 따른 기능적 체력과 골밀도의 변화 (The Change of Functional Fitness and Bone Mineral Density on a Long-Term Combined Exercise Intervention in Breast Cancer Survivors.)

  • 김양숙;김미숙
    • 생명과학회지
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    • 제18권7호
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    • pp.968-973
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    • 2008
  • 본 연구는 유방암 절제술을 받은 40-60대의 기혼 중년을 대상으로 복합운동을 1년간 실시하여 골다공증약과 운동을 병행한 군과 운동군으로 나누어 기능적 체력과 골밀도에 미치는 효과를 분석하고 이에 따른 효과적인 운동프로그램의 기초 자료를 제공하는데 있다. 대상자총 24명을 두군으로 나누어, 이중 18명은 골다공증 범위(T-score=$-2.2{\pm}0.8$)에 있으며 복합운동만을 실시하였다. 나머지 6명은 골다공증진단(T-score=$-4.6{\pm}0.9$)을 받고 골다공증약(Alendronate 70 mg/주 당)을 처방 받아 복용하면서 복합운동을 병행하여 실시하였다. 본 연구 결과, 기능적 체력 요소 중 좌전굴, 악력, 윗몸일으키기에서는 시기간에 유의한 향상을 보였다. 12개월 후, 골 밀도의 변화는 복합운동군(N=18)에서는 변화가 없었으며, 복합운동과 골다공증약 복용(N=6)을 병행하고 있는 그룹은 유의한 개선을 나타냈다. 따라서 하타요가, 탄성밴드 및 볼 운동이 포함된 장기간 점진적 강도의 복합운동프로그램이 유방암절제술 여성의 기능적 체력의 개선 및 골밀도 지연에 효과가 있었고, 특히 운동과 골다공증약을 병행한 그룹에서 골다공증개선에 긍정적인 영향을 미쳤으므로, 유방암 수술 후 회복기 운동프로그램으로 적극 활용할 수 있도록 제안한다. 앞으로 대상자 수를 늘려 골다공증약과 운동과의 병행관계를 심층적으로 연구하고, 유방암 수술 후 운동중재프로그램의 유형 및 강도를 달리하여 유방암과 골밀도 및 운동과의 관련성을 연구 해 볼 필요가 있겠다.

Role of Breast Tomosynthesis in Diagnosis of Breast Cancer for Japanese Women

  • Takamoto, Yayoi;Tsunoda, Hiroko;Kikuchi, Mari;Hayashi, Naoki;Honda, Satoshi;Koyama, Tomomi;Ohde, Sachiko;Yagata, Hiroshi;Yoshida, Atsushi;Yamauchi, Hideko
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권5호
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    • pp.3037-3040
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    • 2013
  • Introduction: Mammography is the most basic modality in breast cancer imaging. However, the overlap of breast tissue depicted on conventional two-dimensional mammography (2DMMG) may create significant obstacles to detecting abnormalities, especially in dense or heterogeneously dense breasts. In three-dimensional digital breast tomosynthesis (3DBT), tomographic images of the breast are reconstructed from multiple projections acquired at different angles. It has reported that this technology allows the generation of 3D data, therefore overcoming the limitations of conventional 2DMMG for Western women. We assessed the detectability of lesions by conventional 2DMMG and 3DBT in diagnosis of breast cancer for Japanese women. Methods: The subjects were 195 breasts of 99 patients (median age of 48 years, range 34~82 years) that had been pathologically diagnosed with breast cancer from December 20, 2010 through March 31, 2011. Both conventional 2DMMG and 3DBT imaging were performed for all patients. Detectability of lesions was assessed based on differences in category class. Results: Of the affected breasts, 77 (75.5%) had lesions assigned to the same categories by 2DMMG and 3DBT. For 24 (23.5%) lesions, the category increased in 3DBT indicating improvement in diagnostic performance compared to 2DMMG. 3DBT improved diagnostic sensitivity for patients with mass, focal asymmetric density (FAD), and architectural distortion. However, 3DBT was not statistically superior in diagnosis of the presence or absence of calcification. Conclusions: In this study, 3DBT was superior in diagnosing lesions in form of mass, FAD, and/or architectural distortion. 3DBT is a novel technique that may provide a breakthrough in solving the difficulties of diagnosis caused by parenchyma overlap for Japanese women.

The Within-tree Variation in Wood Density and Mechanical Properties and Their Relationship in Juniperus polycarpos

  • Kiaei, Majid;Bakhshi, Reza;Saffari, Mohsen;Golkari, Sadegh
    • Journal of Forest and Environmental Science
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    • 제31권4호
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    • pp.267-271
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    • 2015
  • The variations of wood density and mechanical properties of Juniperus polycarpos trees were studied in a natural forest in Iran. Sample disks were taken from each tree to examine wood density and mechanical properties (MOE and MOR) from pith to bark at breast height, 50%, and 75% of total tree height. The analysis of variance (ANOVA) indicated that radial position and height significantly affected all wood properties. The wood density, MOE and MOR were decreased along horizontal position from the pith to the bark and vertical direction from base upwards. Regression analysis showed that modulus of elasticity (MOE) and modulus of rupture (MOR) had a positive correlation with wood density.

A Novel Model for Smart Breast Cancer Detection in Thermogram Images

  • Kazerouni, Iman Abaspur;Zadeh, Hossein Ghayoumi;Haddadnia, Javad
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권24호
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    • pp.10573-10576
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    • 2015
  • Background: Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermographic images. The new method of thermographic image analysis for automated detection of high tumor risk areas, based on two-directional two-dimensional principal component analysis technique for feature extraction, and a support vector machine for thermographic image retrieval was tested on 400 images. The sensitivity and specificity of the model are 100% and 98%, respectively.

Deep Learning-Based Artificial Intelligence for Mammography

  • Jung Hyun Yoon;Eun-Kyung Kim
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1225-1239
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    • 2021
  • During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quantitative assessment of parenchymal density, detection and diagnosis of breast cancer, and prediction of breast cancer risk, enabling more precise patient management. AI-based algorithms may also enhance the efficiency of the interpretation workflow by reducing both the workload and interpretation time. However, more in-depth investigation is required to conclusively prove the effectiveness of AI-based algorithms. This review article discusses how AI algorithms can be applied to mammography interpretation as well as the current challenges in its implementation in real-world practice.

Effect of sous-vide cooking conditions on the physicochemical, microbiological and microstructural properties of duck breast meat

  • Dong-Min Shin;Jong Hyeok Yune;Dong-Hyun Kim;Sung Gu Han
    • Animal Bioscience
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    • 제36권10호
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    • pp.1596-1603
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    • 2023
  • Objective: Sous-vide cooking offers several advantages for poultry meat, including enhanced tenderness, reduced cooking loss, and improved product yield. However, in duck meat, there are challenges associated with using the sous-vide method. The prolonged cooking time at low temperatures can lead to unstable microbial and oxidative stabilities. Thus, we aimed to assess how varying sous-vide cooking temperatures and durations affect the physicochemical and microbial characteristics of duck breast meat, with the goal of identifying an optimal cooking condition. Methods: Duck breast meat (Anas platyrhynchos) aged 42 days and with an average weight of 1,400±50 g, underwent cooking under various conditions (ranging from 50℃ to 80℃) for either 60 or 180 min. Then, physicochemical, microbial, and microstructural properties of the cooked duck breast meat were assessed. Results: Different cooking conditions affected the quality attributes of the meat. The cooking loss, lightness, yellowness, Hue angle, whiteness, and thiobarbituric acid reactive substance (TBARS) values of the duck breast meat increased with the increase in cooking temperature and time. In contrast, the redness and chroma values decreased with the increase in cooking temperature and time. Cooking of samples higher than 60℃ increased the volatile basic nitrogen contents and TBARS. Microbial analysis revealed the presence of Escherichia coli and Coliform only in the samples cooked at 50℃ and raw meat. Cooking at lower temperature and shorter time increased the tenderness of the meat. Microstructure analysis showed that the contraction of myofibrils and meat density increased upon increasing the cooking temperature and time. Conclusion: Our data indicate that the optimal sous-vide method for duck breast meat was cooking at 60℃ for 60 min. This temperature and time conditions showed good texture properties and microbial stability, and low level of TBARS of the duck breast meat.

Dry Season Evaporation From Pine Forest Stand In The Middle Mountains Of Nepal

  • Gnawali, Kapil;Jun, KyungSoo
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.330-330
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    • 2016
  • The quantification of dry season evaporation in regions, where the magnitude of dry season flows is key to the regional water supply, is essential for good water management. Also, tree transpiration has a significant role in the water balance of a catchment whenever it is tree populated, especially in water limited environments. Such is the case in the Middle Mountains of Nepal where dry season flows play a significant role in downstream water provisioning and their proper functioning is key to the welfare of millions of people. This research seeks to study the transpiration of a pine forest stand in the Jikhu Khola Watershed in the Middle Mountains of Nepal. To the author's knowledge, no single study has been made so far to estimate the dry season evaporation from the planted forest stand in the Middle Mountains of Nepal. The study was carried out in planted pine forest embedded within the Jikhu Khola Catchment. Field campaigns of sap flow measurements were carried out from September, 2010 to February, 2011 in the selected plot of 15*15m dimension, to characterize dry season evaporation. This was done by measuring sap fluxes and sapwood areas over the six trees of different Diameter at Breast Height (DBH) classes. The sap flux was assessed using Granier's thermal dissipation probe (TDP) technique while sapwood area was determined using several incremental core(s) taken with a Pressler borer and immediately dyeing with methyl orange for estimating the actual depth of sapwood area. Transpiration of the plot was estimated by considering the contribution of each tree class. For this purpose, sap flux density, sapwood area and the proportion of total canopy area were determined for each tree class of the selected plot. From these data, hourly and diurnal transpiration rates for the plot were calculated for experimental period. Finally, Cienciala model was parameterized using the data recorded by the ADAS and other terrain data collected in the field. The calibrated model allowed the extrapolation of Sap flux density (v) over a six month period, from September 2010 to February 2011. The model given sap flux density was validated with the measured sap flux density from Grainier method.

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유방암에서 CT planning를 이용한 치료계획 (Radiotherapy Treatment Planning using Computed Tomography in Breast Cancer)

  • 김성규;신세원;김명세
    • 한국의학물리학회지:의학물리
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    • 제3권2호
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    • pp.59-65
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    • 1992
  • 유방암은 여성암 가운데 세계에서 가장 빈도가 높으며, 한국에서도 세번째로 많은 것으로 보고하고 있다. 유방암에서 방사선치료는 photon beam를 이용하여 tangential field로 치료하거나 electron beam를 이용하여 치료하는 것이 보편적이다. 치료범위 내부의 밀도와 tumor까지의 깊이는 방사선치료에서 선량분포를 결정하는 중요한 요소들이다. CT planning를 이용하면 이러한 요소들을 정확하게 산출하여 선량과 선량분포를 결정하는데 이용할 수 있다. 저자들이 유방암 환자 65명중 전자선으로 치료를 받은 45명을 분석한 결과 cheast wall의 두께와 internal mammary lyphnode의 깊이가 1.5cm 이하인 경우에는 6MeV의 에너지가 적적함을 보여 주었으며, 1.5cm에서 2.0cm까지는 9MeV의 에너지가, 2.0cm에서 2.5cm까지는 12MeV의 에너지가 적절함을 보였다.

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