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Article: Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography.

Ryu, Hye Sun / Lee, Han Na / Kim, Jung Im / Ryu, Jung Kyu / Lim, Yu Jin

2024 Volume 16, Issue 3, Page(s) 1804–1814

Abstract: Background: Patients with breast cancer have a higher risk of developing lung cancer than the general population. The study aimed to evaluate the prevalence of ground glass nodule (GGN) and risk factors for GGN growth in patients with breast cancer and ... ...

Abstract	Background: Patients with breast cancer have a higher risk of developing lung cancer than the general population. The study aimed to evaluate the prevalence of ground glass nodule (GGN) and risk factors for GGN growth in patients with breast cancer and to evaluate the prevalence and pathologic features of lung cancer. Methods: We retrospectively reviewed the clinical data and chest computed tomography (CT) of 1,384 patients diagnosed with breast cancer who underwent chest CT between January 2008 and December 2022. We evaluated the prevalence of GGNs and their size changes on follow-up chest CT with volume doubling time (VDT) and identified independent risk factors associated with the growth of GGN using multivariable logistic regression analyses. Furthermore, the prevalence and pathologic features of lung cancer were also evaluated. Results: We detected persistent GGNs in 69 of 1,384 (5.0%) patients. The initial diameter of GGNs was 6.3±3.6 mm on average, with primarily (85.5%) pure GGNs. Among them, 27 (39.1%) exhibited interval growth with a median VDT of 1,006.0 days (interquartile range, 622.0-1,528.0 days) during the median 959.0 days (interquartile range, 612.0-1,645.0 days) follow-up period. Older age (P=0.026), part-solid nodules (P=0.006), and total number of GGNs (≥2) (P=0.007) were significant factors for GGN growth. Lung cancer was confirmed in 13 of 1,384 patients (0.9%), all with adenocarcinoma, including one case of minimally invasive adenocarcinoma. The cancers demonstrated a high rate of epidermal growth factor receptor (EGFR) mutation (69.2%). Conclusions: Persistent GGNs in breast cancer patients with high-risk factors should be adequately monitored for early detection and treatment of lung cancer.
Language	English
Publishing date	2024-03-14
Publishing country	China
Document type	Journal Article
ZDB-ID	2573571-8
ISSN	2077-6624 ; 2072-1439
ISSN (online)	2077-6624
ISSN	2072-1439
DOI	10.21037/jtd-23-1605
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Article ; Online: Myxoid Liposarcoma of the Breast Mimicking Phyllodes Tumor: A Case Report.

Lee, Se Jin / Ryu, Jung Kyu / Won, Kyu Yeoun / Han, Sang-Ah

Journal of the Korean Society of Radiology

2023 Volume 84, Issue 4, Page(s) 952–957

Abstract: Myxoid liposarcoma is an extremely rare malignant breast tumor. We report the case of a 44-year-old woman who had myxoid liposarcoma of the breast with a history of phyllodes tumor and describe the imaging findings on US, mammography, and MRI. Before ... ...

Abstract	Myxoid liposarcoma is an extremely rare malignant breast tumor. We report the case of a 44-year-old woman who had myxoid liposarcoma of the breast with a history of phyllodes tumor and describe the imaging findings on US, mammography, and MRI. Before surgery, the mass was considered to be a recurrent phyllodes tumor. However, using US, we retrospectively identified some differences between myxoid liposarcomas and phyllodes tumors.
Language	English
Publishing date	2023-07-14
Publishing country	Korea (South)
Document type	Case Reports
ISSN	2951-0805
ISSN (online)	2951-0805
DOI	10.3348/jksr.2022.0146
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Article ; Online: Incidental Thyroid Nodule on Chest Computed Tomography: Application of Computed Tomography Texture Analysis in Prediction of Ultrasound Classification.

Jo, Jung In / Kim, Jung Im / Ryu, Jung Kyu / Lee, Han Na

Journal of computer assisted tomography

2022 Volume 46, Issue 3, Page(s) 480–486

Abstract: Objective: The aim of the study was to evaluate the value of computed tomography (CT) texture analysis (CTTA) in predicting ultrasound (US) classification of incidentally detected thyroid nodule (ITN) on chest CT.: Methods: A total of 117 ITNs (≥1 cm ...

Abstract	Objective: The aim of the study was to evaluate the value of computed tomography (CT) texture analysis (CTTA) in predicting ultrasound (US) classification of incidentally detected thyroid nodule (ITN) on chest CT. Methods: A total of 117 ITNs (≥1 cm in the longest diameter) on chest CT scan of 107 patients was divided into 4 categories according to the Korean Thyroid Imaging Reporting and Data System (K-TIRADS) classification on recent thyroid US within 3 months. Computed tomography texture features were extracted with or without filtration using commercial software. The texture features were compared between the benign (K-TIRADS 2; n = 21) and the suspicious (K-TIRADS 3, 4, 5; n = 96) nodules. Multivariate regression and area under the receiver operating characteristic curve analysis were performed to determine significant prediction factors of the suspicious nodules. Results: The mean value of positive pixels was significantly higher in the suspicious nodules except the unfiltered image (P < 0.05). Entropy of the suspicious nodules was significantly higher with unfiltered and fine filters (P < 0.05), and kurtosis of the suspicious nodules was significantly higher with medium and coarse filters (P < 0.05). A logistic regression model incorporating mean value of positive pixels and kurtosis with a medium filter using volumetric analysis demonstrated the best performance to predict the suspicious nodules with an area under the receiver operating characteristic curve of 0.842 (P < 0.001, sensitivity 82.3%, and specificity 81.0%). Conclusions: Computed tomography texture analysis for ITN larger than 1 cm showed significant correlation with systematic thyroid US classification and presented excellent performance to predict the suspicious nodules.
MeSH term(s)	Humans ; ROC Curve ; Retrospective Studies ; Thyroid Neoplasms ; Thyroid Nodule/diagnostic imaging ; Tomography, X-Ray Computed ; Ultrasonography/methods
Language	English
Publishing date	2022-03-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	80392-3
ISSN	1532-3145 ; 0363-8715
ISSN (online)	1532-3145
ISSN	0363-8715
DOI	10.1097/RCT.0000000000001286
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Zs.A 1388: Show issues

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Article ; Online: Recurrent breast amyloidosis associated with Sjögren's syndrome: A case report with description of the radiologic-pathologic correlation.

Lee, Geon Yang / Ryu, Jung Kyu / Lim, Sung-Jig

Journal of clinical ultrasound : JCU

2020 Volume 48, Issue 3, Page(s) 168–173

Abstract: We describe the case of a 41-year-old woman with primary Sjögren's syndrome (SS) who presented multiple recurrences of breast amyloidosis. Each recurrence of breast amyloidosis showed different sonographic features, potentially mimicking malignancy. We ... ...

Abstract	We describe the case of a 41-year-old woman with primary Sjögren's syndrome (SS) who presented multiple recurrences of breast amyloidosis. Each recurrence of breast amyloidosis showed different sonographic features, potentially mimicking malignancy. We briefly discuss the possible cause of this variability in imaging features based on the radiologic-histologic correlation.
MeSH term(s)	Adult ; Amyloidosis/complications ; Amyloidosis/diagnostic imaging ; Amyloidosis/pathology ; Amyloidosis/surgery ; Breast Diseases/complications ; Breast Diseases/diagnostic imaging ; Breast Diseases/pathology ; Breast Diseases/surgery ; Female ; Follow-Up Studies ; Humans ; Middle Aged ; Recurrence ; Sjogren's Syndrome/complications ; Ultrasonography/methods
Language	English
Publishing date	2020-01-31
Publishing country	United States
Document type	Case Reports
ZDB-ID	189393-2
ISSN	1097-0096 ; 0091-2751
ISSN (online)	1097-0096
ISSN	0091-2751
DOI	10.1002/jcu.22806
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Zs.A 1186: Show issues

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Article: Corrigendum: Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.

Chang, Yun-Woo / An, Jin Kyung / Choi, Nami / Ko, Kyung Hee / Kim, Ki Hwan / Han, Kyunghwa / Ryu, Jung Kyu

Journal of breast cancer

2022 Volume 25, Issue 2, Page(s) 147

Abstract: This corrects the article on p. 57 in vol. 25, PMID: 35133093. ...

Abstract	This corrects the article on p. 57 in vol. 25, PMID: 35133093.
Language	English
Publishing date	2022-05-04
Publishing country	Korea (South)
Document type	Published Erratum
ZDB-ID	2559753-X
ISSN	2092-9900 ; 1738-6756
ISSN (online)	2092-9900
ISSN	1738-6756
DOI	10.4048/jbc.2022.25.e16
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Zs.A 6866: Show issues

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Article: Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.

Chang, Yun-Woo / An, Jin Kyung / Choi, Nami / Ko, Kyung Hee / Kim, Ki Hwan / Han, Kyunghwa / Ryu, Jung Kyu

Journal of breast cancer

2022 Volume 25, Issue 1, Page(s) 57–68

Abstract: Purpose: Artificial intelligence (AI)-based computer-aided detection/diagnosis (CADe/x) has helped improve radiologists' performance and provides results equivalent or superior to those of radiologists' alone. This prospective multicenter cohort study ... ...

Abstract	Purpose: Artificial intelligence (AI)-based computer-aided detection/diagnosis (CADe/x) has helped improve radiologists' performance and provides results equivalent or superior to those of radiologists' alone. This prospective multicenter cohort study aims to generate real-world evidence on the overall benefits and disadvantages of using AI-based CADe/x for breast cancer detection in a population-based breast cancer screening program comprising Korean women aged ≥ 40 years. The purpose of this report is to compare the diagnostic accuracy of radiologists with and without the use of AI-based CADe/x in mammography readings for breast cancer screening of Korean women with average breast cancer risk. Methods: Approximately 32,714 participants will be enrolled between February 2021 and December 2022 at 5 study sites in Korea. A radiologist specializing in breast imaging will interpret the mammography readings with or without the use of AI-based CADe/x. If recall is required, further diagnostic workup will be conducted to confirm the cancer detected on screening. The findings will be recorded for all participants regardless of their screening status to identify study participants with breast cancer diagnosis within both 1 year and 2 years of screening. The national cancer registry database will be reviewed in 2026 and 2027, and the results of this study are expected to be published in 2027. In addition, the diagnostic accuracy of general radiologists and radiologists specializing in breast imaging from another hospital with or without the use of AI-based CADe/x will be compared considering mammography readings for breast cancer screening. Discussion: The Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM) study is a prospective multicenter study that aims to compare the diagnostic accuracy of radiologists with and without the use of AI-based CADe/x in mammography readings for breast cancer screening of women with average breast cancer risk. AI-STREAM is currently in the patient enrollment phase. Trial registration: ClinicalTrials.gov Identifier: NCT05024591.
Language	English
Publishing date	2022-01-06
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2559753-X
ISSN	2092-9900 ; 1738-6756
ISSN (online)	2092-9900
ISSN	1738-6756
DOI	10.4048/jbc.2022.25.e4
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Zs.A 6866: Show issues

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Article ; Online: Femoral artery access using the US-determined inguinal ligament and femoral head as reliable landmarks: prospective study of usefulness and safety.

Yun, Seong Jong / Nam, Deok Ho / Ryu, Jung Kyu

Journal of vascular and interventional radiology : JVIR

2015 Volume 26, Issue 4, Page(s) 552–559

Abstract: Purpose: To evaluate ultrasound (US)-guided femoral artery access using the US-determined inguinal ligament (IL; US-IL) and femoral head as anatomic landmarks to prevent "high stick" (ie, cannulation above the IL) of the common femoral artery (CFA).: ... ...

Abstract	Purpose: To evaluate ultrasound (US)-guided femoral artery access using the US-determined inguinal ligament (IL; US-IL) and femoral head as anatomic landmarks to prevent "high stick" (ie, cannulation above the IL) of the common femoral artery (CFA). Materials and methods: Fifty consecutive US-guided femoral artery accesses for embolization of hepatocellular carcinoma (n = 49) or renal angiography (n = 1) between December 2008 and August 2009 were prospectively analyzed. Primary endpoints were evaluation of technical success and major/minor complications during the procedure and follow-up visits. Secondary endpoints were the relative locations of the US-IL, fluoroscopically determined IL (FL-IL), and origin site of the inferior epigastric artery (IEA) on completion angiography. Relationships were evaluated between CFA types and lengths on US, between CFA types on US, and between frequencies of low-lying US-IL on fluoroscopy. Spearman correlation, Student t test, and Fisher exact test were used for statistical analysis. Results: Technical success of CFA access was achieved in all patients (100%), with no high stick of the CFA noted. No complications were noted. On fluoroscopy, US-IL was located significantly lower than FL-IL (P = .002). On fluoroscopy and completion angiography, US-IL was more strongly correlated (ρ = 0.823, P < .001) with the IEA origin site than with the FL-IL (ρ = 0.287, P = .043). Finally, a "slope-type" CFA was shorter than a "horizontal-type" CFA on US and was more common in patients with low-lying US-IL on fluoroscopy (P = .001). Conclusions: US-guided CFA access with US-IL and femoral head guidance is safe and useful and can be helpful in preventing high stick.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Anatomic Landmarks/diagnostic imaging ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/therapy ; Embolization, Therapeutic/methods ; Female ; Femoral Artery/diagnostic imaging ; Femur Head/diagnostic imaging ; Humans ; Ligaments/diagnostic imaging ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/therapy ; Male ; Middle Aged ; Radiography ; Reproducibility of Results ; Sensitivity and Specificity ; Ultrasonography, Interventional/methods
Language	English
Publishing date	2015-04
Publishing country	United States
Document type	Clinical Trial ; Journal Article
ZDB-ID	1137756-2
ISSN	1535-7732 ; 1051-0443
ISSN (online)	1535-7732
ISSN	1051-0443
DOI	10.1016/j.jvir.2014.12.613
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Zs.A 3720: Show issues

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Article ; Online: Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.

Lee, Jeong Hoon / Kim, Ki Hwan / Lee, Eun Hye / Ahn, Jong Seok / Ryu, Jung Kyu / Park, Young Mi / Shin, Gi Won / Kim, Young Joong / Choi, Hye Young

Korean journal of radiology

2022 Volume 23, Issue 5, Page(s) 505–516

Abstract: Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms.: Materials and methods: A commercial deep learning-based ... ...

Abstract	Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. Materials and methods: A commercial deep learning-based software for mammography was validated using external data collected from 200 patients, 100 each with and without breast cancer (40 with benign lesions and 60 without lesions) from one hospital. Ten readers, including five breast specialist radiologists (BSRs) and five general radiologists (GRs), assessed all mammography images using a seven-point scale to rate the likelihood of malignancy in two sessions, with and without the aid of the AI-based software, and the reading time was automatically recorded using a web-based reporting system. Two reading sessions were conducted with a two-month washout period in between. Differences in the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and reading time between reading with and without AI were analyzed, accounting for data clustering by readers when indicated. Results: The AUROC of the AI alone, BSR (average across five readers), and GR (average across five readers) groups was 0.915 (95% confidence interval, 0.876-0.954), 0.813 (0.756-0.870), and 0.684 (0.616-0.752), respectively. With AI assistance, the AUROC significantly increased to 0.884 (0.840-0.928) and 0.833 (0.779-0.887) in the BSR and GR groups, respectively ( Conclusion: AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.
MeSH term(s)	Artificial Intelligence ; Breast Neoplasms/diagnostic imaging ; Female ; Humans ; Mammography/methods ; Radiologists ; Retrospective Studies ; Sensitivity and Specificity ; Software
Language	English
Publishing date	2022-04-04
Publishing country	Korea (South)
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2046981-0
ISSN	2005-8330 ; 1229-6929
ISSN (online)	2005-8330
ISSN	1229-6929
DOI	10.3348/kjr.2021.0476
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Zs.A 5591: Show issues

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Article ; Online: Solitary fibrous tumor of the breast: a case report and review of the literature.

Rhee, Sun Jung / Ryu, Jung Kyu / Han, Sang-Ah / Won, Kyu Yeoun

Journal of medical ultrasonics (2001)

2016 Volume 43, Issue 1, Page(s) 125–128

Abstract: Solitary fibrous tumors (SFTs) are rare mesenchymal neoplasms that can be benign or malignant. SFTs have been most often documented in the pleura. Recently, involvement of extrapleural sites such as the abdomen, musculoskeletal soft tissue, upper ... ...

Abstract	Solitary fibrous tumors (SFTs) are rare mesenchymal neoplasms that can be benign or malignant. SFTs have been most often documented in the pleura. Recently, involvement of extrapleural sites such as the abdomen, musculoskeletal soft tissue, upper respiratory tract, mediastinum, and head and neck were reported. Less than 15 cases of SFT of the breast have been reported. Here, we report a case of a pathologically proven SFT of the breast and review the literature on the radiologic findings. US imaging showed an oval, well-circumscribed, hypoechoic solid mass. A solitary fibrous tumor of the breast is a very rare lesion.
MeSH term(s)	Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Humans ; Male ; Mammography ; Middle Aged ; Solitary Fibrous Tumors/diagnostic imaging ; Solitary Fibrous Tumors/pathology ; Ultrasonography, Mammary
Language	English
Publishing date	2016-01
Publishing country	Japan
Document type	Case Reports ; Journal Article ; Review
ZDB-ID	1396630-3
ISSN	1613-2254 ; 0287-0592 ; 1346-4523
ISSN (online)	1613-2254
ISSN	0287-0592 ; 1346-4523
DOI	10.1007/s10396-015-0674-9
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Zs.B 2695: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.B 2695 -Engl.Ausg.-: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Benefit of adding digital breast tomosynthesis to digital mammography for breast cancer screening focused on cancer characteristics: a meta-analysis.

Yun, Seong Jong / Ryu, Chang-Woo / Rhee, Sun Jung / Ryu, Jung Kyu / Oh, Ji Young

Breast cancer research and treatment

2017 Volume 164, Issue 3, Page(s) 557–569

Abstract: Purpose: We evaluated the benefit of adding digital breast tomosynthesis (DBT) to full-field digital mammography (FFDM) compared to FFDM alone for breast cancer detection, focusing on cancer characteristics.: Methods: We searched electronic databases ...

Abstract	Purpose: We evaluated the benefit of adding digital breast tomosynthesis (DBT) to full-field digital mammography (FFDM) compared to FFDM alone for breast cancer detection, focusing on cancer characteristics. Methods: We searched electronic databases and relevant references for published studies comparing DBT plus FFDM to FFDM alone for breast cancer screening. Pooled risk ratios (RRs) for various pathologic findings were determined using random effects models. Results: Eleven eligible studies were included. Pooled RRs showed a greater cancer detection for DBT plus FFDM than for FFDM alone for invasive cancer (1.327; 95% CI, 1.168-1.508), stage T1 (1.388; 95% CI, 1.137-1.695), nodal-negative (1.451; 95% CI, 1.209-1.742), all histologic grades (grade I, 1.812; grade II/III, 1.403), and histologic types of invasive cancer (ductal, 1.437; lobular, 1.901). However, adding DBT did not increase for detection of carcinoma in situ (1.198; 95% CI, 0.942-1.524), stage ≥T2 (1.391; 95% CI, 0.895-2.163), or nodal-positive cancer (1.336; 95% CI, 0.921-1.938). Heterogeneity among studies was not significant in any subset analysis. Conclusions: Adding DBT to FFDM enabled detection of early invasive breast cancer that might have been missed with FFDM alone. Knowing which cancer characteristic DBT detects may allow it to play a complementary role in predicting long-term patient outcomes and facilitate treatment planning.
Language	English
Publishing date	2017-08
Publishing country	Netherlands
Document type	Journal Article ; Review
ZDB-ID	604563-7
ISSN	1573-7217 ; 0167-6806
ISSN (online)	1573-7217
ISSN	0167-6806
DOI	10.1007/s10549-017-4298-1
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