• 한국융합학회논문지
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• 제10권2호
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• pp.29-34
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• 2019

본 연구는 디지털 유방촬영장치의 DBT(Digital Breast Tomosynthesis)와 FFDM(Full Field DigitalMammography)의 비교를 위해 유방조직등가팬텀을 이용하여 두께와 밀도를 변화시켜 선량 및 화질을 평가하여 DBT의 유용성을 평가하였다. 측정 결과 평균유선선량은 팬텀 두께 6 cm이상 밀도 70% 이상일 때, 두께 7 cm이상 밀도 50% 이상일 때 FFDM 보다 DBT가 낮은 것을 알 수 있었다. 영상 측정 결과, 섬유소는 DBT에서 우수하다고 측정 되었고, 작은 석회화 그룹과 종양에서는 FFDM 이 우수하였다. 유방의 복잡한 조직과 유사한 BR3D 팬텀에서는 모든 두께와 섬유소, 석회화 및 종양 그룹 모두 DBT 가 우수하다고 측정 되었다. DBT는 FFDM보다밀도가 높고 두께가 두꺼운 두께가 두껍고 밀도가 높은 유방에서 영상 품질 우수하고 낮은 선량을 제공함으로서, 한국 여성의 많은 분포를 차지하는 치밀유방에 더 유용할 수 있을 것이라 사료된다.

• Korean Journal of Radiology
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• 제23권11호
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• pp.1031-1043
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• 2022

Objective: To compare digital breast tomosynthesis (DBT) and MRI as an adjunct to full-field digital mammography (FFDM) for the preoperative evaluation of women with breast cancer based on mammographic density. Materials and Methods: This retrospective study enrolled 280 patients with breast cancer who had undergone FFDM, DBT, and MRI for preoperative local tumor staging. Three radiologists independently sought the index cancer and additional ipsilateral and contralateral breast cancers using either FFDM alone, DBT plus FFDM, or MRI plus FFDM. Diagnostic performances across the three radiologists were compared among the reading modes in all patients and subgroups with dense (n = 186) and non-dense breasts (n = 94) according to mammographic density. Results: Of 280 patients, 46 (16.4%) had 48 additional (39 ipsilateral and nine contralateral) cancers in addition to the index cancer. For index cancers, both DBT plus FFDM and MRI plus FFDM showed sensitivities of 100% in the non-dense group. In the dense group, DBT plus FFDM showed lower sensitivity than that of MRI plus FFDM (94.6% vs. 99.6%, p < 0.001). For additional ipsilateral cancers, DBT plus FFDM showed specificity and positive predictive value (PPV) of 100% in the non-dense group, but sensitivity and negative predictive value (NPV) were not statistically different from those of MRI plus FFDM (p > 0.05). In the dense group, DBT plus FFDM showed higher specificity (98.2% vs. 94.1%, p = 0.005) and PPV (83.1% vs. 65.4%; p = 0.036) than those of MRI plus FFDM, but lower sensitivity (59.9% vs. 75.3%; p = 0.049). For contralateral cancers, DBT plus FFDM showed higher specificity than that of MRI plus FFDM (99.0% vs. 96.7%, p = 0.014), however, the other values did not differ (all p > 0.05) in the dense group. Conclusion: DBT plus FFDM showed an overall higher specificity than that of MRI plus FFDM regardless of breast density, perhaps without substantial loss in sensitivity and NPV in the diagnosis of additional cancers. Thus, DBT may have the potential to be used as a preoperative breast cancer staging tool.

• 디지털융복합연구
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• 제15권5호
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• pp.281-291
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• 2017

본 연구는 유방영상 검사기법을 사용하여 종양의 검출률을 평가하고자 하였다. 유방암 환자 중 FFDM, DBT, BMRI 검사를 시행한 180명을 대상으로 종양의 모양(shape)과 마진(margin)을 score로 평가하고 또, 석회석을 크기에 따라 분류해서 개수를 평가하였다. 저밀도 유방에서 1cm이상, 고밀도 유방에서 2cm이상 종양은 DBT와 BMRI의 유의한 차이가 없었다. 또한 미세석회석의 개수는 크기에 관계없이 FFDM, DBT, BMRI순으로 검출률이 높았다. 결론적으로 저밀도 유방에서 종괴가 1cm이상, 고밀도 유방에서 종괴가 2cm이상 일 경우 BMRI를 시행하지 않아도 DBT로 검출이 가능하였다. 그리고 석회석은 크기와 관계없이 FFDM, DBT 순으로 검출률이 높았으며, BMRI는 석회석이 관찰되지 않았다. 향후 종괴성 종양에 대한 FFDM, DBT, BMRI를 적절히 활용함으로 환자의 부담감을 줄일 수 있는 검사법에 대한 가이드가 될 것이다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권9호
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• pp.4109-4114
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• 2015

Background: Full-field digital mammography (FFDM) with dense breasts has a high rate of missed diagnosis, and digital breast tomosynthesis (DBT) could reduce organization overlapping and provide more reliable images for BI-RADS classification. This study aims to explore application of COMBO (FFDM+DBT) for effect and significance of BI-RADS classification of breast cancer. Materials and Methods: In this study, we selected 832 patients who had been treated from May 2013 to November 2013. Classify FFDM and COMBO examination according to BI-RADS separately and compare the differences for glands in the image of the same patient in judgment, mass characteristics display and indirect signs. Employ Paired Wilcoxon rank sum test was used in 79 breast cancer patients to find differences between two examine methods. Results: The results indicated that COMBO pattern is able to observe more details in distribution of glands when estimating content. Paired Wilcoxon rank sum test showed that overall classification level of COMBO is higher significantly compared to FFDM to BI-RADS diagnosis and classification of breast (P<0.05). The area under FFDM ROC curve is 0.805, while that is 0.941 in COMBO pattern. COMBO shows relation of mass with the surrounding tissues, the calcification in the mass, and multiple foci clearly in breast cancer tissues. The optimal sensitivity of cut-off value in COMBO pattern is 82.9%, which is higher than that in FFDM (60%). They share the same specificity which is both 93.2%. Conclusions: Digital Breast Tomosynthesis (DBT) could be used for the BI-RADS classification in breast cancer in clinical.

• Korean Journal of Radiology
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• 제20권1호
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• pp.58-68
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• 2019

Objective: To compare digital breast tomosynthesis (DBT) and conventional full-field digital mammography (FFDM) in the detectability of breast cancers in patients with dense breast tissue, and to determine the influencing factors in the detection of breast cancers using the two techniques. Materials and Methods: Three blinded radiologists independently graded cancer detectability of 300 breast cancers (288 women with dense breasts) on DBT and conventional FFDM images, retrospectively. Hormone status, histologic grade, T stage, and breast cancer subtype were recorded to identify factors affecting cancer detectability. The Wilcoxon signed-rank test was used to compare cancer detectability by DBT and conventional FFDM. Fisher's exact tests were used to determine differences in cancer characteristics between detectability groups. Kruskal-Wallis tests were used to determine whether the detectability score differed according to cancer characteristics. Results: Forty breast cancers (13.3%) were detectable only with DBT; 191 (63.7%) breast cancers were detected with both FFDM and DBT, and 69 (23%) were not detected with either. Cancer detectability scores were significantly higher for DBT than for conventional FFDM (median score, 6; range, 0-6; p < 0.001). The DBT-only cancer group had more invasive lobular-type breast cancers (22.5%) than the other two groups (i.e., cancer detected on both types of image [both-detected group], 5.2%; cancer not detected on either type of image [both-non-detected group], 7.3%), and less detectability of ductal carcinoma in situ (5% vs. 16.8% [both-detected group] vs. 27.5% [both-non-detected group]). Low-grade cancers were more often detected in the DBT-only group than in the both-detected group (22.5% vs. 10%, p = 0.026). Human epidermal growth factor receptor-2 (HER-2)-negative cancers were more often detected in the DBT-only group than in the both-detected group (92.3% vs. 70.5%, p = 0.004). Cancers surrounded by mostly glandular tissue were detected less often in the DBT only group than in the both-non-detected group (10% vs. 31.9%, p = 0.016). DBT cancer detectability scores were significantly associated with cancer type (p = 0.012), histologic grade (p = 0.013), T and N stage (p = 0.001, p = 0.024), proportion of glandular tissue surrounding lesions (p = 0.013), and lesion type (p < 0.001). Conclusion: Invasive lobular, low-grade, or HER-2-negative cancer is more detectable with DBT than with conventional FFDM in patients with dense breasts, but cancers surrounded by mostly glandular tissue might be missed with both techniques.

• 대한영상의학회지
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• 제83권5호
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• pp.1090-1103
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• 2022

목적 본 연구는 미세석회화가 의심되는 유방에서 정위적 조직검사에 앞서서 시행하는 디지털 유방단층영상합성법(digital breast tomosynthesis with the two-dimensional synthesized mammogram; 이하 DBT with 2DSM)과 전면디지털유방촬영술(full-field digital mammography; 이하 FFDM)의 진단능을 비교 평가하고 영상의 진단적 명확도를 평가하기 위해서 시행하였다 대상과 방법 2015년 1월에서 2020년 1월까지 후향적 연구로서 189명의 환자 중 정위적 조직검사를 통한 조직병리검사상 미세석회화 병변이 확인된 환자를 중 DBT with 2DSM나 FFDM을 시행한 환자군에서 시행되었다. 두 명의 영상의학과 의사가 눈가림 상태로, Breast Imaging Reporting and Data System (BI-RADS) 분류에 따른 미세석회화의 평가 및 본 연구에서 별도로 1-5점 척도를 통해 정의한 진단적 명확도에 대한 평가를 시행하였다. 결과 전반적인 검사자간 일치도는 우수한 것으로 확인되었다. 맥네머 검정에서 악성가능성이 높은 미세석회화(4B, 4C, or 5)의 검출에 있어서는 두 진단방법 간에 통계적 유의성은 보이지 않았으나, 양성가능성이 높은 미세석회화(4A)의 진단에 있어서는 통계적 유의성을 보였다. DBT with 2DSM는 FFDM보다 더 높은 가시성을 보임이 확인되었고, 치밀유방에서도 FFDM보다 진단에 있어서 더 우수하였다. 결론 DBT with 2DSM는 FFDM과 비교하여 미세석회화 병변에 대해서 더 높은 전반적 진단적 정확도와 진단적 명확성을 제공하였다. DBT with 2DSM는 FFDM보다 양성 미세석회화 병변에서와 치밀유방에서 우수성을 보였다. 본 연구에서는 치밀 유방에서 미세석회화 병변에 대해서 정위적 생검을 시행할 때 유용한 진단 기구로서의 DBT with 2DSM의 역할을 확인할 수 있었다.

• 대한디지털의료영상학회논문지
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• 제16권2호
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• pp.25-29
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• 2014

The full-field digital mammography (FFDM), which has been known as a digital breast imaging system, carries out more outstanding performance than the screen-film mammography in overall image quality, skin & nipple, description of pectoral muscle and expression of micro-calcification. Thus, in this thesis, I perform experiments for both the enhancement of image quality and accurate estimation of the result in question, when detecting the very tiny-sized lesions in mammography. The image of digital breast X-rays is the important diagnostic tool for detecting early breast cancer and micro calcification lesion. The experiment of how much compression rate has an effect on the result of diagnosis in the case of microcalcification lesion, with JPEG2000 40:1 compression and over 50% enlargement led to obscure or definitely unacceptable diagnostic results is performed. And in another study of assessment of PSNR degree. I recognized the importance of standardized management system in mammography, where not to mention the accurate reading of the image has the most crucial role in diagnosis

• 대한의용생체공학회:의공학회지
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• 제30권2호
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• pp.153-161
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• 2009

Mammogram is one of the important techniques for mass detection, which is the early diagnosis stage of a breast cancer. Especially, the CAD(Computer Aided Diagnosis) using mammogram improves the working performance of radiologists as it offers an effective mass detection. There are two types of CAD systems using mammogram; automatic and semi-automatic CAD systems. However, the automatic segmentation is limited in performance due to the difficulty of obtaining an accurate segmentation since mass occurs in the dense areas of the breast tissue and has smoother boundaries. Semi-automatic CAD systems overcome these limitations, however, they also have problems including high FP (False Positive) rate and a large amount of training data required for training a classifier. The proposed system which overcomes the aforementioned problems to detect mass is composed of the suspected area selection, the level set segmentation and SVM (Support Vector Machine) classification. To assess the efficacy of the system, 60 test images from the FFDM (Full-Field Digital Mammography) are analyzed and compared with the previous semi-automatic system, which uses the ANN classifier. The experimental results of the proposed system indicate higher accuracy of detecting mass in comparison to the previous systems.

• 한국방사선학회논문지
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• 제7권3호
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• pp.181-189
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• 2013

디지털유방촬영기에서 자동모드를 설정해서 검사를 할 경우 환자가 받는 평균유선선량(average grandular dose)를 줄일 수 있는 방법을 제시하고자 최적의 노출 파라미터를 찾고 노이즈 감소 알고리즘을 적용하여 화질을 개선하고자 한다. 실험을 위하여 Nuclear Associates Model 18-222 의 팬텀을 사용 하였으며, 입사선량(enterance dose)과 평균 유선선량을 측정하였다. 다음 노이즈(noise) 제거 알고리즘을 적용하였고, 적용 전 후에 대해서 Signal, Noise, SNR, FOM을 측정하고 비교 평가 하였다. 실험결과 첫째, 노이즈 제거 전 Mo/Mo 23kvp에서 SNR이 가장 높았고, 평균유선 선량은 W/Rh 35kvp 에서 가장 낮았다. FOM 결과 W/Rh의 28kVp를 사용하는 것이 가장 좋은 것으로 나타났다. 노이즈 제거 알고리즘 적용 후 SNR은 Mo/Mo 23kvp에서 SNR 가장 높았고, FOM의 결과 W/Rh의 28kVp를 사용 하는것이 가장 좋은 것으로 나타났다. 이때 동일한 평균유선선량을 갖는 조건에서 노이즈 값은 4.36에서 1.74로 감소되었으며, SNR 값은 4.6에서 11.6으로 향상되었다. 제안하는 노이즈 제거 처리를 적용하면 영상에서 중요한 정보를 유지하면서 노이즈를 감소시킬 수 있고, 최적의 노이즈 처리와 최적의 검사조건을 선택함으로써 유방 검사 시 발생하는 방사선 피폭을 줄일 수 있을 것이다.