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BACKGROUND: The fatty infiltration and atrophy in the muscle after a rotator cuff (RC) tear are important in surgical decision-making and are linked to poor clinical outcomes after rotator cuff repair. An accurate and reliable quantitative method should be developed to assess the entire RC muscles. PURPOSE: To develop a fully automated approach based on a deep neural network to segment RC muscles from clinical magnetic resonance imaging (MRI) scans. MATERIAL AND METHODS: In total, 94 shoulder MRI scans (mean age = 62.3 years) were utilized for the training and internal validation datasets, while an additional 20 MRI scans (mean age = 62.6 years) were collected from another institution for external validation. An orthopedic surgeon and a radiologist manually segmented muscles and bones as reference masks. Segmentation performance was evaluated using the Dice score, sensitivities, precision, and percent difference in muscle volume (%). In addition, the segmentation performance was assessed based on sex, age, and the presence of a RC tendon tear. RESULTS: The average Dice score, sensitivities, precision, and percentage difference in muscle volume of the developed algorithm were 0.920, 0.933, 0.912, and 4.58%, respectively, in external validation. There was no difference in the prediction of shoulder muscles, with the exception of teres minor, where significant prediction errors were observed (0.831, 0.854, 0.835, and 10.88%, respectively). The segmentation performance of the algorithm was generally unaffected by age, sex, and the presence of RC tears. CONCLUSION: We developed a fully automated deep neural network for RC muscle and bone segmentation with excellent performance from clinical MRI scans.
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OBJECTIVE: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. MATERIALS AND METHODS: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. RESULTS: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. CONCLUSION: The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.
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Neoplasias Ósseas , Imageamento por Ressonância Magnética , Adulto , Humanos , Masculino , Feminino , Imageamento por Ressonância Magnética/métodos , Neoplasias Ósseas/diagnóstico por imagem , Neoplasias Ósseas/secundário , Valor Preditivo dos Testes , Coluna Vertebral/diagnóstico por imagem , Estudos RetrospectivosRESUMO
OBJECTIVES: To analyze the characteristics of spinal metastasis in CT scans across diverse cancers for effective diagnosis and treatment, using MRI as the gold standard. METHODS: A retrospective study of 309 patients from four centers, who underwent concurrent CT and spinal MRI, revealing spinal metastasis, was conducted. Data on metastasis including total number, volume, visibility on CT (visible, indeterminate, or invisible), and type of bone change were collected. Through chi-square and Mann-Whitney U tests, we characterized the metastasis across diverse cancers and investigated the variation in the intra-individual ratio representing the percentage of lesions within each category for each patient. RESULTS: Out of 3333 spinal metastases from 309 patients, 55% were visible, 21% indeterminate, and 24% invisible. Sclerotic and lytic lesions made up 47% and 43% of the visible and indeterminate categories, respectively. Renal cell carcinoma (RCC), prostate cancer, and hepatocellular carcinoma (HCC) had the highest visibility at 86%, 73%, and 67% (p < 0.0001, p < 0.0001, and p = 0.003), while pancreatic cancer was lowest at 29% (p < 0.0001). RCC and HCC had significantly high lytic metastasis ratios (interquartile range (IQR) 0.96-1.0 and 0.31-1.0, p < 0.001 and p = 0.005). Prostate cancer exhibited a high sclerotic lesion ratio (IQR 0.52-0.97, p < 0.001). About 39% of individuals had invisible or indeterminate lesions, even with a single visible lesion on CT. The intra-individual ratio for indeterminate and invisible metastases surpassed 18%, regardless of the maximal size of the visible metastasis. CONCLUSIONS: This study highlights the variability in characteristics of spinal metastasis based on the primary cancer type through unique lesion-centric analysis.
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Imageamento por Ressonância Magnética , Neoplasias da Coluna Vertebral , Tomografia Computadorizada por Raios X , Humanos , Masculino , Neoplasias da Coluna Vertebral/diagnóstico por imagem , Neoplasias da Coluna Vertebral/secundário , Feminino , Estudos Retrospectivos , Pessoa de Meia-Idade , Tomografia Computadorizada por Raios X/métodos , Idoso , Imageamento por Ressonância Magnética/métodos , Adulto , Idoso de 80 Anos ou maisRESUMO
OBJECTIVE: Parametrial tissue ligation during total laparoscopic hysterectomy (TLH) is important in large uteri with large vessels. METHODS: A retrospective study was performed at Asan Medical Center for comparing TLH performed with a new knotless parametrial tissue ligation method and conventional laparoscopic-assisted vaginal hysterectomy (LAVH) from March 2019 to August 2021. For TLH, after anterior colpotomy, the parametrial tissue was ligated by anchoring the suture and making a loop in one direction three times using 1-0 V-LocTM 180 (Covidien, Mansfield, MA, USA) suture. Subsequently, the cranial part of the loop was cut using an endoscopic device. RESULTS: A total of 119 and 178 patients were included in the TLH and LAVH groups, respectively. The maximal diameter of the uterus was larger in the TLH group (106.29±27.16 cm) than in the LAVH group (99.00±18.92 cm, P=0.01). The change in hemoglobin (Hb) level was greater in the LAVH group than in the TLH group (P<0.001). The weight of the removed uterus was greater in the TLH group than in the LAVH group (431.95±394.97 vs. 354.94±209.52 g; P=0.03). However, when the uterine weight was >1,000 g, the operative times and change in Hb levels were similar between the two groups. In both groups, no ureteral complications occurred during or after surgery. CONCLUSION: Knotless parametrial tissue ligation using 1-0 V-LocTM 180 suture in TLH can be safely applied, even in cases with large uteri, without increased risks of ureteral injury or uterine bleeding.
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PURPOSE: Fertility preservation (FP) is an important issue for young survivors of breast cancer. Although international guidelines recommend pre-treatment fertility counseling for women with breast cancer, there is no standardized protocol or referral system for FP in South Korea. There are also barriers to discussing FP that make patient-centered decision making difficult. This study aimed to develop a shared decision making program for FP and compare the rates of FP procedures between the usual care and shared decision making groups. We hypothesized that multidisciplinary shared decision making for FP would increase the rate of FP procedures and patient satisfaction. METHODS: The multidisciplinary shared decision making for FP in young women with breast cancer (MYBC) is a multicenter, clustered, stepped-wedge, randomized trial. A total of 1100 patients with breast cancer, aged 19-40 years, from nine hospitals in South Korea, will be enrolled. They will be randomized at the institutional level and assigned to usual care and shared decision making groups. Four institutions, each of which can recruit more than 200 patients, will each become a cluster, whereas five institutions, each of which can recruit more than 50 patients, will become one cluster, for a total of five clusters. The shared decision making groups will receive multidisciplinary programs for FP developed by the investigator. The primary outcome is the rate of FP procedures; secondary outcomes include fertility results, satisfaction, and quality of life. Outcomes will be measured at enrollment, treatment initiation, and the 1-, 3-, and 5-year follow-ups after starting breast cancer treatment. DISCUSSION: A multidisciplinary shared decision making program for FP is expected to increase fertility rates and satisfaction among young patients with breast cancer. This study will provide the evidence to implement a multidisciplinary system for patients with breast cancer. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05139641. Registered on December 1, 2021.
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OBJECTIVES: To quantify the proportion of fat within the rotator cuff muscles using CT histogram analysis (HA) and to compare fat fraction (FF) values obtained from CT and T2*-corrected 6-echo three-dimensional gradient-echo Dixon sequences. METHODS: Twenty-six patients who underwent both shoulder CT and MRI were enrolled. The FF of rotator cuff muscles was measured on FF maps of the Dixon technique. Using CT, the FF values were obtained in two ways: 1) CT mean Hounsfield Unit (HU) measurement-based fat quantification using subcutaneous fat and the teres major muscle as internal standards; and 2) CT HA-based fat quantification in which pixels from -190 to -30 HU were arbitrarily classified as fat, and those from -30 to 150 HU as muscle. Afterward, the relationship between FF values from MRI (FF-MR), CT mean HU-based analysis (FF-HU), and CT HA (FF-HA) was assessed. RESULTS: There were strong positive correlations (p < 0.001) between FF-MR and FF-HA, which were higher when compared with FF-HU (r = 0.90 vs. 0.77 for total). For a total of 104 rotator cuff muscles, the intraclass correlation between FF-MR and FF-HA was excellent (ICC, 0.90), which was higher than that between FF-MR and FF-HU (ICC, 0.76). The ICCs showed excellent interobserver agreement between FF-MR, FF-HU, and FF-HA (ICCs, 0.93-0.96). CONCLUSIONS: Fat quantification within the rotator cuff muscles using CT HA is both feasible and reliable. ADVANCES IN KNOWLEDGE: CT HA provides reliable quantification of intramuscular fat and has strengths regarding its retrospective applicability to conventional CT studies without additional radiation dose to subjecting patients.
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Lesões do Manguito Rotador , Manguito Rotador , Humanos , Manguito Rotador/diagnóstico por imagem , Estudos Retrospectivos , Tecido Adiposo/diagnóstico por imagem , Imageamento por Ressonância Magnética/métodos , Lesões do Manguito Rotador/diagnóstico por imagem , Tomografia Computadorizada por Raios XRESUMO
PURPOSE: To report our experience of fertility preservation (FP) in female cancer patients. MATERIALS AND METHODS: We retrospectively analyzed the medical records of female who underwent elective oocyte or embryo cryopreservation before cancer treatment between January 2015 and December 2020 at Asan Medical Center. We analyzed the type of cancer, the rate of reuse of cryopreserved oocytes or embryos, and fertility outcomes such as the resumption of menstruation or pregnancy. RESULTS: A total of 174 patients underwent 182 oocyte retrieval cycles after controlled ovarian stimulation for oocyte or embryo cryopreservation. The median age of patients was 33.0 (range 19-46) years, and the patients were most unmarried female (65.52%). The majority of patients were diagnosed with breast cancer (78.16%), and the remaining were diagnosed with gastrointestinal (6.33%) and hematologic malignancies (5.75%). The maturation rate of oocyte cryopreservation was 83.33%, and the fertilization rate of embryo cryopreservation was 72.07%. Of the 57 patients currently not undergoing cancer treatment, 34 resumed menstruating and 19 (33.33%, 19/57) returned to attempt a pregnancy. Among them, five patients succeeded in natural pregnancy. Eleven patients received frozen-thawed embryo transfer, and four patients succeeded in becoming pregnant (36.36%, 4/11). Only 6.3% of patients returned to use their gametes, and 93.7% of gametes are still in storage. CONCLUSION: FP in cancer patients should be considered before cancer treatment. Through continuous research on oncofertility, it is necessary to consider how to increase the return rate and provide appropriate information to cancer patients of reproductive age.
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Preservação da Fertilidade , Neoplasias , Feminino , Gravidez , Humanos , Estudos Retrospectivos , Criopreservação , OócitosRESUMO
OBJECTIVE: To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSEDL) sequences relative to standard TSE sequences (TSES) for acute radius fracture patients wearing a splint. METHODS: This prospective consecutive study investigated 50 patients' preoperative wrist MRI scans acquired between July 2021 and January 2022. Examinations were performed at 3 Tesla MRI with body array coils due to the wrist splint. Besides TSES obtained according to the routine protocol, TSEDL sequences for axial T2-, coronal T1-, and coronal PD-weighted TSE sequences were scanned for comparison. For quantitative assessment, the relative signal-to-noise ratio (rSNR), the relative contrast-to-noise ratio (rCNR), and the relative contrast ratio (rCR) were measured. For qualitative assessment, all images were assessed by two independent musculoskeletal radiologists in terms of perceived SNR, image contrast, image sharpness, artifacts disturbing evaluation, overall image quality and diagnostic confidence for injuries using a four- or five-point Likert scale. RESULTS: The scan time was shortened approximately by a factor of two for TSEDL compared to TSES. TSEDL images showed significantly better rSNR, rCNR, and rCR values for all sequences, and scored significantly better in terms of both image quality and diagnostic confidence for both readers than TSES images (all p < .05). Interrater reliabilities were in almost perfect agreement. CONCLUSION: The DL-accelerated technique proved to be very helpful not only to reduce scan time but also to improve image quality for acute painful fracture patients wearing a splint despite using body array coils instead of a wrist-specific coil. Based on our study, the DL-accelerated technique can be very useful for MRI of any part of the extremities in trauma settings just with body array coils.
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Aprendizado Profundo , Fraturas do Rádio , Humanos , Estudos Prospectivos , Estudos de Viabilidade , Contenções , Imageamento por Ressonância Magnética/métodos , ArtefatosRESUMO
Purpose: To assess the usefulness of various metal artifact reduction (MAR) methods in patients with hip prostheses. Materials and Methods: This retrospective study included 47 consecutive patients who underwent hip arthroplasty and dual-energy CT. Conventional polyenergetic image (CI), orthopedic-MAR (O-MAR), and virtual monoenergetic image (VMI, 50-200 keV) were tested for MAR. Quantitative analysis was performed in seven regions around the prostheses. Qualitative assessments included evaluation of the degree of artifacts and the presence of secondary artifacts. Results: The lowest amount of image noise was observed in the O-MAR, followed by the VMI. O-MAR also showed the lowest artifact index, followed by high-keV VMI in the range of 120-200 keV (soft tissue) or 200 keV (bone). O-MAR had the highest contrast-to-noise ratio (CNR) in regions with severe hypodense artifacts, while VMI had the highest CNR in other regions, including the periprosthetic bone. On assessment of the CI of pelvic soft tissues, VMI showed a higher structural similarity than O-MAR. Upon qualitative analysis, metal artifacts were significantly reduced in O-MAR, followed by that in VMI, while secondary artifacts were the most frequently found in the O-MAR (p < 0.001). Conclusion: O-MAR is the best technique for severe MAR, but it can generate secondary artifacts. VMI at high keV can be advantageous for evaluating periprosthetic bone.
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Dienogest (DNG) is a therapeutic medication used in endometriosis treatment. Limited data are available regarding its mechanism of action on endometrial cells. Using in vivo and in vitro models, we investigated whether DNG treatment causes significant biological changes in human endometrial stromal cells (ESCs). The markers related to the pathogenesis of endometriosis in ESCs were evaluated using estradiol, tumor necrosis factor alpha (TNF-α), interleukin 1ß (IL-1ß), and IL-32, administered alone or in combination with DNG. Implanted endometrial tissues were compared between C57BL/6 mice that did or did not receive DNG treatment by using size measurements and immunohistochemistry. A significant decrease in cell viability, protein kinase B (AKT) phosphorylation, and the expression of p21-activated kinase 4 and vascular endothelial growth factor were observed in ESCs treated with estradiol plus DNG. Cell viability, AKT phosphorylation, and proliferating cell nuclear antigen (PCNA) expression also decreased significantly after TNF-α plus DNG treatment. Treatment with IL-1ß or IL-32 plus DNG significantly decreased cell viability or PCNA expression, respectively. The size of the implanted endometrial tissue significantly decreased in mice treated with DNG, accompanied by decreased PCNA expression. Thus, DNG may reduce cell viability and proliferation induced by estradiol, TNF-α, IL-1ß, and IL-32, and inhibit the endometriosis pathogenesis by decreasing PCNA expression.
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Purpose: To develop and validate deep radiomics models for the diagnosis of osteoporosis using hip radiographs. Materials and Methods: A deep radiomics model was developed using 4924 hip radiographs from 4308 patients (3632 women; mean age, 62 years ± 13 [SD]) obtained between September 2009 and April 2020. Ten deep features, 16 texture features, and three clinical features were used to train the model. T score measured with dual-energy x-ray absorptiometry was used as a reference standard for osteoporosis. Seven deep radiomics models that combined different types of features were developed: clinical (model C); texture (model T); deep (model D); texture and clinical (model TC); deep and clinical (model DC); deep and texture (model DT); and deep, texture, and clinical features (model DTC). A total of 444 hip radiographs obtained between January 2019 and April 2020 from another institution were used for the external test. Six radiologists performed an observer performance test. The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic performance. Results: For the external test set, model D (AUC, 0.92; 95% CI: 0.89, 0.95) demonstrated higher diagnostic performance than model T (AUC, 0.77; 95% CI: 0.70, 0.83; adjusted P < .001). Model DC (AUC, 0.95; 95% CI: 0.92, 0.97; adjusted P = .03) and model DTC (AUC, 0.95; 95% CI: 0.92, 0.97; adjusted P = .048) showed improved diagnostic performance compared with model D. When observer performance without and with the assistance of the model DTC prediction was compared, performance improved from a mean AUC of 0.77 to 0.87 (P = .002). Conclusion: Deep radiomics models using hip radiographs could be used to diagnose osteoporosis with high performance.Keywords: Skeletal-Appendicular, Hip, Absorptiometry/Bone Densitometry© RSNA, 2022.
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Objectives: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been investigated to better detect recurrent tumors of malignant soft tissue sarcoma (STS), however, DCE-MRI is time-consuming and not available at all medical centers. This study aims to evaluate the feasibility of dual-phase postcontrast MRI sequences (early 3D spoiled gradient-echo [GRE] and delayed fast spin-echo [FSE] T1WI) for the differentiation of recurrent tumor from nonneoplastic lesions. Materials and methods: A total of 297 patients under postoperative surveillance for malignant STS were included in this retrospective study and divided into three subgroups, as follows: group A, recurrent tumors (n = 82); group B, pseudomasses (n = 55); and group C, postoperative inflammation (n = 160). All MRI examinations included dual-phase post-contrast sequences. The contrast-to-noise ratio (CNR) and the signal-intensity ratio (SIR) were used to evaluate the degree of contrast enhancement in target lesions. ROC curve analysis was performed to assess the diagnostic performance for recurrent tumor. Results: In the early phase, all mean CNR and SIR values were significantly higher in group A (all, p < 0.05). However, the difference of the CNR between early and delayed post-contrast MRI showed a significantly lesser increase in group A than in the other groups when muscle was used as the reference tissue (p = 0.026). A comparison of ROC curves showed that dual-phase MRI had significantly better diagnostic performance than conventional postcontrast MRI. Conclusion: The addition of an early postcontrast 3D GRE to conventional FSE-T1WI is useful to detect recurrent tumors by providing additional information on early enhancement.
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BACKGROUND: To assess the clinical efficacy of intravenous immunoglobulin G (IVIG) administration combined with low-dose aspirin in women with unexplained recurrent pregnancy loss (RPL). METHODS: We retrospectively analyzed the medical records of patients who had been diagnosed with unexplained RPL and treated with IVIG and low-dose aspirin between January 2000 and March 2020 at Asan Medical Center. We analyzed pregnancy outcomes and their association with the percentage of natural killer (NK) cells. RESULTS: The study analyzed a total of 93 patients and 113 natural and assisted reproductive technology pregnancy cycles. The live birth rate per cycle was 73.5% (83/113), and the term delivery rate was 86.7% (72/83). The live birth rate was high regardless of the type of RPL, method of pregnancy, timing of IVIG treatment, and presence or absence of autoantibodies. In addition, the live birth rate was significantly higher in patients who received IVIG more than once, compared with patients who received IVIG only once (77.8% vs. 42.9%, P = 0.006). There was no significant association between the NK cell counts and live birth rate (65.5% in the group with NK cell < 12%, and 69.7% in that with NK cell ≥ 12%, P = 0.725). Among all patients, 87.6% had no complications, and there were no congenital malformation among newborn babies. CONCLUSION: IVIG combined with low-dose aspirin treatment showed favorable pregnancy outcomes regardless of the patient's NK cell counts (%).
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Aborto Habitual , Imunoglobulinas Intravenosas , Aborto Habitual/tratamento farmacológico , Aborto Habitual/prevenção & controle , Aspirina/uso terapêutico , Feminino , Humanos , Imunoglobulina G , Recém-Nascido , Gravidez , Resultado da Gravidez , Estudos RetrospectivosRESUMO
The coronavirus disease 2019 (COVID-19) pandemic has impacted the medical, social, and reproductive health of millions of people since its outbreak. The causative virus transmits, reproduces, and manifests through the respiratory tract. COVID-19 can invade any system of the body, including the cardiovascular and endocrine systems, through a secondary immune response. In particular, because the fatality rate is high in those over the age of 50 years, special attention is required during the medical care of this population. However, considering the benefit of therapy and the risk of COVID-19, high-quality evidence regarding individualized management in relation to hormone therapy is still insufficient in the field of gynecology. Furthermore, this review aims to serve as a reference for clinical application by analyzing and summarizing the results of studies reported to date regarding female hormone therapy in the context of the COVID-19 pandemic.
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OBJECTIVES: To compare volumetric CT with DL-based fully automated segmentation and dual-energy X-ray absorptiometry (DXA) in the measurement of thigh tissue composition. METHODS: This prospective study was performed from January 2019 to December 2020. The participants underwent DXA to determine the body composition of the whole body and thigh. CT was performed in the thigh region; the images were automatically segmented into three muscle groups and adipose tissue by custom-developed DL-based automated segmentation software. Subsequently, the program reported the tissue composition of the thigh. The correlation and agreement between variables measured by DXA and CT were assessed. Then, CT thigh tissue volume prediction equations based on DXA-derived thigh tissue mass were developed using a general linear model. RESULTS: In total, 100 patients (mean age, 44.9 years; 60 women) were evaluated. There was a strong correlation between the CT and DXA measurements (R = 0.813~0.98, p < 0.001). There was no significant difference in total soft tissue mass between DXA and CT measurement (p = 0.183). However, DXA overestimated thigh lean (muscle) mass and underestimated thigh total fat mass (p < 0.001). The DXA-derived lean mass was an average of 10% higher than the CT-derived lean mass and 47% higher than the CT-derived lean muscle mass. The DXA-derived total fat mass was approximately 20% lower than the CT-derived total fat mass. The predicted CT tissue volume using DXA-derived data was highly correlated with actual CT-measured tissue volume in the validation group (R2 = 0.96~0.97, p < 0.001). CONCLUSIONS: Volumetric CT measurements with DL-based fully automated segmentation are a rapid and more accurate method for measuring thigh tissue composition. KEY POINTS: ⢠There was a positive correlation between CT and DXA measurements in both the whole body and thigh. ⢠DXA overestimated thigh lean mass by 10%, lean muscle mass by 47%, but underestimated total fat mass by 20% compared to the CT method. ⢠The equations for predicting CT volume (cm3) were developed using DXA data (g), age, height (cm), and body weight (kg) and good model performance was proven in the validation study.
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Aprendizado Profundo , Coxa da Perna , Humanos , Feminino , Adulto , Pessoa de Meia-Idade , Absorciometria de Fóton/métodos , Coxa da Perna/diagnóstico por imagem , Estudos Prospectivos , Composição Corporal , Tecido Adiposo/diagnóstico por imagem , Tomografia Computadorizada por Raios X/métodosRESUMO
BACKGROUND: A high false-negative rate has been reported for the diagnosis of ossification of the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether deep learning (DL) can improve the diagnostic performance of radiologists for cervical OPLL using plain radiographs. MATERIALS AND METHODS: The training set consisted of 915 radiographs from 207 patients diagnosed with OPLL. For the test set, we used 200 lateral cervical radiographs from 100 patients with cervical OPLL and 100 patients without OPLL. An observer performance study was conducted over two reading sessions. In the first session, we compared the diagnostic performance of the DL-model and the six observers. The diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC) at the vertebra and patient level. The sensitivity and specificity of the DL model and average observers were calculated in per-patient analysis. Subgroup analysis was performed according to the morphologic classification of OPLL. In the second session, observers evaluated the radiographs by referring to the results of the DL-model. RESULTS: In the vertebra-level analysis, the DL-model showed an AUC of 0.854, which was higher than the average AUC of observers (0.826), but the difference was not significant (p = 0.292). In the patient-level analysis, the performance of the DL-model had an AUC of 0.851, and the average AUC of observers was 0.841 (p = 0.739). The patient-level sensitivity and specificity were 91% and 69% in the DL model, and 83% and 68% for the average observers, respectively. Both the DL-model and observers showed decreases in overall performance in the segmental and circumscribed types. With knowledge of the results of the DL-model, the average AUC of observers increased to 0.893 (p = 0.001) at the vertebra level and 0.911 (p < 0.001) at the patient level. In the subgroup analysis, the improvement was largest in segmental-type (AUC difference 0.087; p = 0.002). CONCLUSIONS: The DL-based OPLL detection model can significantly improve the diagnostic performance of radiologists on cervical radiographs.
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Aprendizado Profundo , Ossificação do Ligamento Longitudinal Posterior , Vértebras Cervicais/diagnóstico por imagem , Humanos , Ligamentos Longitudinais , Ossificação do Ligamento Longitudinal Posterior/diagnóstico por imagem , Osteogênese , RadiografiaRESUMO
OBJECTIVE: To understand prevalence, severity, impact, and treatment of vasomotor symptoms associated with menopause, using cross-sectional survey data. METHODS: This online, two-part survey was conducted in East Asia among women 40-65âyears recruited from established online panels (Edelman, Beijing; Hankook Research, Seoul; Rakuten Insight, Taipei) using stratified sampling. Part I collected demographics/disease characteristics, including menopausal status and vasomotor symptom severity. Women with moderate-to-severe vasomotor symptoms completed Part II, including clinical characteristics, health-related quality of life, and healthcare-seeking behavior. Primary endpoints included vasomotor symptom prevalence and severity and proportions of women eligible and willing to take hormone therapy. Results are presented for each of the three online panels separately and as a pooled total. All analyses are descriptive with no formal hypothesis testing across groups. RESULTS: Numbers of peri- versus postmenopausal women completing Part I were Edelman, 1,588 (55.1% vs 44.9%); Hankook Research, 1,000 (43.6% vs 56.4%); Rakuten Insight, 773 (61.7% vs 38.3%). Vasomotor symptom prevalence was =80% in each region; overall moderate-to-severe vasomotor symptom prevalence was 55%; >50% of women were untreated. Most of those treated used non-prescription treatments. Menopausal hormone therapy use was reported by 11.6% of peri- and 7.2% of postmenopausal women. In peri- and postmenopausal women with moderate-to-severe vasomotor symptoms, 8.6% and 3.4%, respectively, were hormone therapy-willing, 19.3% and 16.8% hormone therapy-contraindicated, 25.4% and 23.0% hormone therapy-cautious, and 10.2% and 8.3% hormone therapy-averse. Women experienced significant burden on health-related quality of life and substantial impairment of work productivity and daily activities. CONCLUSIONS: Vasomotor symptoms associated with menopause affected =80% of women aged 40 to 65âyears. A substantial proportion of women are unsuitable for, or choose not to take, menopausal hormone therapy, resulting in an unmet need for nonhormonal treatment options.
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Fogachos , Qualidade de Vida , Estudos Transversais , Feminino , Hormônios/uso terapêutico , Fogachos/tratamento farmacológico , Fogachos/epidemiologia , Humanos , Masculino , Menopausa , Prevalência , Sistema VasomotorRESUMO
Coronavirus disease 2019 (COVID-19) is associated with a systemic inflammatory response that activates coagulation in symptomatic patients. In addition, a rare form of thrombosis has been reported in people who received the COVID-19 vaccine, most of whom were women younger than 50 years of age. Considering that hormonal contraceptive methods widely used by women of childbearing age increase the risk of thrombosis, the development of guidelines for the use of hormonal contraceptives in the era of the COVID-19 pandemic is necessary. In this context, the Korean Society of Contraception and Reproductive Health provides guidelines for issues regarding contraception and reproductive health during the pandemic.
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OBJECTIVE: To evaluate the efficacy of vaginal hysterectomy combined with anterior and posterior colporrhaphy (VH APR) for the management of pelvic organ prolapse (POP). METHODS: A total of 610 patients with POP who underwent VH APR from January 2010 to June 2019 at Asan Medical Center were included in this study. We analyzed the patient characteristics and surgical outcomes. In addition, we compared the POP quantification system (POP-Q) pre- and postoperatively at 2 weeks, 3 months, and 1 year, and analyzed the risk factors for recurrence. RESULTS: The mean age of the patients was 65.5±7.6 years. The most common preoperative POP-Q stage was stage 2 (60.8%), followed by stage 3 (35.9%). Complications were identified during surgery in 1.6% of the patients. The most common postoperative complication (6.4%) was voiding difficulty. All POP-Q scores significantly decreased at 1 year after surgery (P<0.0001). The recurrence rate was 9.6%, and most recurrences (77.5%) occurred in the anterior compartment. An advanced stage of preoperative POP was a risk factor for recurrence (stage 3 or 4 vs. stage 1 or 2; odds ratio [OR], 5.337, 95% confidence interval [CI], 2.58-11.036, P<0.0001). Only two patients underwent surgical correction for POP recurrence, and most of the remaining patients did not undergo further treatment for prolapse. CONCLUSION: VH APR is a safe and effective surgical procedure for POP, with a low recurrence rate. In addition, advanced preoperative stage was the only risk factor for recurrent POP.
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Robot-assisted laparoscopic sacrocolpopexy (RSC) has gained popularity as a method for easier intracorporeal suturing than conventional laparoscopic sacrocolpopexy. However, few studies have compared multiport RSC (MP-RSC) and single-incision RSC (SI-RSC). We aimed to compare perioperative outcomes between these techniques for advanced pelvic organ prolapse (POP). We analyzed 126 patients who underwent RSC for POP quantification (all stage III to IV) between March 2019 and May 2021 at Seoul Asan Medical Center. We prospectively collected operation-related data, including total operation time (OT; from skin incision to closure) and perioperative outcomes. A total of 106 and 20 patients underwent MP-RSC and SI-RSC, respectively. The mean ages were 57.49 ± 10.89 and 56.20 ± 10.30 years in the MP-RSC and SI-RSC groups, respectively. The mean total OT was significantly shorter for MP-RSC than for SI-RSC (105.43 ± 24.03 vs. 121.10 ± 26.28 min). The OT difference was 15.67 min (95% confidence interval, 3.90-25.85, p = 0.009). No statistically significant differences were observed in terms of perioperative variables (estimated blood loss, hospital stay) and postoperative adverse events (POP recurrence, mesh erosion). SI-RSC had comparable intraoperative and postoperative outcomes to MP-RSC, with additional cosmetic benefits. MP-RSC had significantly shorter OT than SI-RSC.