Objective: To investigate whether breast tissue composition on preoperative automated breast ultrasound (ABUS) is associated with the accuracy of cancer multiplicity evaluation and postoperative recurrence-free survival (RFS) in patients with early-stage breast cancer. Materials and Methods: This retrospective analysis included women with early-stage breast cancer (clinical Tis, T1–2/N0) who underwent ABUS and digital mammography (DM) between October 2019 and April 2021. Tissue composition on ABUS was assessed using the Breast Imaging Reporting and Data System background echotexture (BE) (homogeneous-fat, homogeneous-fibroglandular, or heterogeneous). In a subgroup of patients with mammographically dense breasts, the glandular tissue component (GTC) on ABUS were further stratified into high (moderate or marked) or low (minimal or mild).Multivariable logistic and Cox regression analyses were used to identify factors associated with accurate cancer multiplicity categorization (unifocal, multifocal/multicentric, or bilateral) using ABUS + DM, and with RFS, respectively. Results: Among 409 women (mean age ± standard deviation, 50.2 ± 8.7 years), ABUS combined with DM yielded accurate cancer multiplicity categorization in 368 patients (90.0%). Neither BE nor GTC on ABUS affected the accuracy of categorization when ABUS was combined with DM. Over a median postoperative follow-up of 3.5 years, 11 recurrences occurred. Heterogeneous BE on ABUS (hazard ratio [HR] 11.24 [95% confidence interval [CI]: 2.82–44.92]; P = 0.001), BRCA mutation (HR 15.94 [2.47–102.97]; P = 0.004), and pathologic index cancer size (HR per 1-cm increase 1.91 [1.13–3.23];P = 0.02) was independently associated with RFS. In patients with dense breasts, heterogeneous BE (HR 14.17 [95% CI:2.69–74.60]; P = 0.002) and high GTC (HR 10.32 [2.35–45.28]; P = 0.002) on ABUS, BRCA mutation (HR 24.34 [2.75– 215.06]; P = 0.004), and pathologic cancer size (HR per 1-cm increase 2.62 [1.50–4.59]; P = 0.001) was independently associated with RFS. Conclusion In patients with early-stage breast cancer, heterogeneous BE and high GTC on preoperative ABUS, along with larger cancer size and BRCA mutation, was associated with worse RFS. However, BE and GTC did not affect cancer multiplicity evaluation when ABUS was used in combination with DM.

BACKGROUND/OBJECTIVES: Accurate estimation of nutrient intake from food consumption requires reliable food composition data. However, since nutrient content changes during cooking, the application of raw ingredient composition may lead to overestimation, particularly for energy and fat in meat dishes. In this study, the suitability of applying cooked food codes for meat dishes to improve the validity of recipe-based nutrient content estimation was evaluated.MATERIALS/METHODS: Pork (thin-sliced and thick-cut belly and shoulder butt) and beef (tenderloin, loin, rib meat, and brisket point) were examined for cooking yield after grilling and their nutrient contents were estimated. Each cut was portioned to 100 g of raw meat and cooked in triplicate. Nutrient content was calculated using both raw and cooked meat codes from the Korean Standard Food Composition Table, and differences in energy, fat, and protein content were compared. RESULTS: When grilled under standardized conditions, the average cooking yield was approximately 65% for pork and 80% for beef (P < 0.0001). Thin slices of pork belly had a lower yield (62.6%) than thicker cuts (68.0%), while beef brisket point had the lowest yield among beef cuts (63.6%). Applying cooked meat codes and measured cooking yields resulted in overall decreases in energy (−10% to −50%) and fat (−20% to −60%) content, with slight increase in protein (up to +34%, P < 0.0001). For beef tenderloin, additional comparisons using matched raw and grilled data from the United States Department of Agriculture SR Legacy Database showed smaller percent differences in energy, fat, and protein than those obtained from the Korean database. CONCLUSION Incorporating measured cooking yields and corresponding cooked meat codes into recipe-based databases can improve the accuracy of nutrient intake estimation. The development of nutrient databases that reflect differences in cooking conditions—including temperature, duration, and doneness—should be prioritized to enhance the validity of national dietary surveys.

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.DiscussionThe 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 RegistrationClinicalTrials.gov Identifier: NCT05024591

Purpose: To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. Materials and Methods: A total of 6 breast radiologists were included in this prospective study. All radiologists independently evaluated low-dose images for lesion detection and rated them for diagnostic quality using a qualitative scale. After application of the denoising network, the same radiologists evaluated lesion detectability and image quality. For clinical application, a consensus on lesion type and localization on preoperative mammographic examinations of breast cancer patients was reached after discussion. Thereafter, coded low-dose, reconstructed full-dose, and full-dose images were presented and assessed in a random order. Results: Lesions on 40% reconstructed full-dose images were better perceived when compared with low-dose images of mastectomy specimens as a reference. In clinical application, as compared to 40% reconstructed images, higher values were given on full-dose images for resolution (p < 0.001); diagnostic quality for calcifications (p < 0.001); and for masses, asymmetry, or architectural distortion (p = 0.037). The 40% reconstructed images showed comparable values to 100% full-dose images for overall quality (p = 0.547), lesion visibility (p = 0.120), and contrast (p = 0.083), without significant differences. Conclusion Effective denoising and image reconstruction processing techniques can enable breast cancer diagnosis with substantial radiation dose reduction.

Objectives: Osteoporosis medications are widely available in South Korea, and well reimbursed by the Government Health Insurance; however, some expensive drugs are not reimbursed. The prescription of anti-osteoporosis drugs (AODs) are increasing for the elderly and for postmenopausal women. We investigate the secular trends of AODs in South Korea. Methods: We used the Intercontinental Medical Statistics Health Sales Audit between January 1, 2006 and December 31, 2018. We analyzed the total sales costs and market share of AODs including bisphosphonates, selective estrogen receptor modulators (SERMs), parathyroid hormone (PTH), calcitonins, and denosumab using the number of days of therapy (DOT). Changes of prescription patterns including original versus generic drugs, vitamin D combination, and types of medical institutions were also analyzed. Results: Bisphosphonates were the most frequently used drug during the study period although its DOT declined from 92.5% in 2008 to 80.0% in 2018. SERMs were the second-most used medication, and has maintained around 13% since 2015. The proportion of calcitonins has decreased since 2011, mainly due to malignancy risk. In contrast, the DOT of PTH and denosumab increased to 0.8% and 4.7% in 2018, respectively. The use of generics, vitamin D combination, and intravenous bisphosphonates has been increasing throughout the study period. Conclusions Prescription patterns using DOT are changing probably due to the increase in older adult patients and severely osteoporotic patients. There are other issues including safety and the launching of new drugs.

Objectives: Osteoporosis medications are widely available in South Korea, and well reimbursed by the Government Health Insurance; however, some expensive drugs are not reimbursed. The prescription of anti-osteoporosis drugs (AODs) are increasing for the elderly and for postmenopausal women. We investigate the secular trends of AODs in South Korea. Methods: We used the Intercontinental Medical Statistics Health Sales Audit between January 1, 2006 and December 31, 2018. We analyzed the total sales costs and market share of AODs including bisphosphonates, selective estrogen receptor modulators (SERMs), parathyroid hormone (PTH), calcitonins, and denosumab using the number of days of therapy (DOT). Changes of prescription patterns including original versus generic drugs, vitamin D combination, and types of medical institutions were also analyzed. Results: Bisphosphonates were the most frequently used drug during the study period although its DOT declined from 92.5% in 2008 to 80.0% in 2018. SERMs were the second-most used medication, and has maintained around 13% since 2015. The proportion of calcitonins has decreased since 2011, mainly due to malignancy risk. In contrast, the DOT of PTH and denosumab increased to 0.8% and 4.7% in 2018, respectively. The use of generics, vitamin D combination, and intravenous bisphosphonates has been increasing throughout the study period. Conclusions Prescription patterns using DOT are changing probably due to the increase in older adult patients and severely osteoporotic patients. There are other issues including safety and the launching of new drugs.

OBJECTIVE: To demonstrate the utility of Scale for the Assessment and Rating of Ataxia (SARA) for evaluation of posterior circulation-related features in patients with mild stroke. METHODS: Forty-five subjects, diagnosed with acute infarction in the cerebellum, basis pontis, thalamus, corona radiata, posterior limb of internal capsule, and their National Institutes of Health Stroke Scale (NIHSS) scores ≤5 were enrolled. SARA scores were graded by the cut-off value of severity in dependency of activities of daily living (ADL). SARA, Berg Balance Scale (BBS), Timed Up-and-Go (TUG), and Trunk Control Test (TCT) were correlated in regression analysis with the modified Rankin Scale (mRS) at discharge. Correlation between SARA and other tools was analyzed. Patients were divided based on mRS at admission (group A, mRS 0–2; group B, mRS 3–5). Scores between the two groups were compared. RESULTS: Among the subjects, 48.9% (22/45) scored above 5.5 on SARA, and even 11.1% (5/45) scored higher than 14.25, which is the cut-off value of ‘severe dependency’ in ADL. SARA showed significant value for prediction of mRS at discharge. SARA was correlated with BBS (r=-0.946, p < 0.001), TUG (r=-0.584, p < 0.001), and TCT (r=-0.799, p < 0.001). The SARA, BBS, TUG, and TCT scores between were lower in group B than in group A patients. SARA as well as BBS, TUG, and TCT reflect the functional severity of all patients. CONCLUSION: SARA is a complementary tool for evaluation of the severity of ataxia in mild stroke patients with features of posterior circulation.
Activities of Daily Living ; Ataxia* ; Cerebellum ; Extremities ; Humans ; Infarction ; Internal Capsule ; National Institutes of Health (U.S.) ; Stroke* ; Thalamus

Myelodysplastic syndrome (MDS) is a bone marrow failure syndrome characterized by cytopenia that results in high risks of infection and bleeding. However, there are few reports of cerebral infarction in MDS. We reported a 72-year-old female with MDS who developed acute cerebral infarction. Clinical history of the patient revealed no definite risk factors for stroke except diabetes mellitus and dyslipidemia that was well controlled. This case represented the rare occurrence of arterial thrombosis causing acute cerebral infarction in MDS, which may be due to complex chromosomal abnormality and inflammatory processes.
Aged ; Bone Marrow ; Cerebral Infarction* ; Chromosome Aberrations ; Diabetes Mellitus ; Dyslipidemias ; Female ; Hemorrhage ; Humans ; Myelodysplastic Syndromes* ; Risk Factors ; Stroke ; Thrombosis