Background: A precise anatomical understanding of the adductor canal (AC) and its neural components is essential for discerning the action mechanism of the AC block. We therefore aimed to clarify the detailed anatomy of the AC using micro-computed tomography (micro-CT), histological evaluation, and immunofluorescence (IF) assays. Methods: Gross dissections of 39 thighs provided morphometric data relevant to injection landmarks. Serial sectional images of the AC were defined using micro-CT and ultrasonography. The fascial and neural structures of the AC proper were histologically evaluated using Masson’s trichrome and Verhoeff-Van Gieson staining, and double IF staining using choline acetyltransferase (ChAT) and neurofilament 200 antibodies. Results: The posteromedial branch insertion of the nerve to vastus medialis (NVM) into the lateral border of the AC proper was lower (14.5 ± 2.4 cm [mean ± SD] above the base of the patella) than the origin of the proximal AC. The AC consists of a thin subsartorial fascia in the proximal region and a thick aponeurosis-like vastoadductor membrane in the distal region. In the proximal AC, the posteromedial branch of the NVM (pmNVM) consistently contained both sensory and motor fibers, and more ChAT-positive fibers were observed than in the saphenous nerve (27.5 ± 11.2 / 104 vs. 4.2 ± 2.6 / 104 [counts/µm2], P < 0.001). Conclusions Anatomical differences in fascial structures between the proximal and distal AC and a mixed neural component of the neighboring pmNVM have been visualized using micro-CT images, histological evaluation, and IF assays.

Radiogenomics or imaging genomics is a novel omics strategy of associating imaging data with genetic information, which has the potential to advance personalized medicine. Imaging features extracted from PET or PET/CT enable assessment of in vivo functional and physiological activity and provide comprehensive tumor information non-invasively. However, PET features are considered secondary to features on conventional imaging, and there has not yet been a review of the radiogenomic approach using PET features. This review article summarizes the current state of PET-based radiogenomic research for cancer, which discusses some of its limitations and directions for future study.

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models.METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning.RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively.CONCLUSIONS: ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.
Classification ; Dataset ; Diagnosis ; Humans ; Lacrimal Apparatus Diseases ; Learning ; Logistic Models ; Machine Learning ; Nuclear Medicine ; Programming Languages ; Radionuclide Imaging

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models. METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning. RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively. CONCLUSIONS ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.

Kidney length is the most useful parameter for clinical measurement of kidney size, and is useful to distinguish acute kidney injury from chronic kidney disease. In this prospective observational study of 437 normal children aged between 0 and < 13 years, kidney length was measured using sonography. There were good correlations between kidney length and somatic values, including age, weight, height, and body surface area. The rapid growth of height during the first 2 years of life was intimately associated with a similar increase in kidney length, suggesting that height should be considered an important factor correlating with kidney length. Based on our findings, the following regression equation for the reference values of bilateral kidney length for Korean children was obtained: kidney length of the right kidney (cm) = 0.051 × height (cm) + 2.102; kidney length of the left kidney (cm) = 0.051 × height (cm) + 2.280. This equation may aid in the diagnosis of various kidney disorders.
Age Factors ; Asian Continental Ancestry Group ; Body Height ; Body Surface Area ; Body Weight ; Child ; Child, Preschool ; Female ; Growth Charts ; Humans ; Infant ; Infant, Newborn ; Kidney/*diagnostic imaging ; Kidney Diseases/diagnosis ; Male ; Prospective Studies ; Reference Values ; Republic of Korea ; Ultrasonography

PURPOSE: Vitiligo prevalence and its associated comorbidities rate have been reported variably among different populations. We aimed to determine the prevalence of vitiligo in Korea along with the baseline rate of comorbidities and compared the risks to the general population using hospital visit information of the total population in Korea. MATERIALS AND METHODS: We assessed demographic characteristics of vitiligo patients in Korean population from 2009 to 2011 in a nationwide data from Health Insurance Review Assessment Service. Patients who had at least one visit to Korea's primary, secondary, or tertiary referral hospitals with International Classification of Diseases, 10th Revision, Clinical Modification diagnosis code for vitiligo were identified. As a supplementary study, comorbidities associated with vitiligo were selected for further review to calculate relative risks compared to the general population. RESULTS: The annual prevalence of vitiligo determined by hospital-visiting rate in Korea was 0.12% to 0.13% over a three year period. In sync with other previous epidemiological studies, there was bimodal distribution among the age groups and no difference between genders. Also, vitiligo in Korean population was associated with various autoimmune/non-autoimmune diseases such as thyroiditis, atopic dermatitis, and psoriasis. CONCLUSION: This study was by far the most comprehensive review on prevalence of vitiligo using a data of total population in Korea. The prevalence is within a range of those reported in previous literatures, and increased risk of comorbidities such as thyroid diseases and psoriasis in vitiligo might aid clinicians in the initial work up of vitiligo patients and concurrent follow ups.
Adult ; Aged ; Autoimmune Diseases/*epidemiology/immunology ; Comorbidity ; Diabetes Mellitus, Type 1/epidemiology ; Female ; Humans ; Male ; Middle Aged ; Population Surveillance ; Prevalence ; Republic of Korea/epidemiology ; Socioeconomic Factors ; Thyroid Diseases/epidemiology ; Vitiligo/*epidemiology

PURPOSE: With previous methods based on only age and location, there are many difficulties in identifying the etiology of acute abdominal pain in children. We sought to develop a new systematic classification of acute abdominal pain and to give some helps to physicians encountering difficulties in diagnoses. METHODS: From March 2005 to May 2010, clinical data were collected retrospectively from 442 children hospitalized due to acute abdominal pain with no apparent underlying disease. According to the final diagnoses, diseases that caused acute abdominal pain were classified into nine groups. RESULTS: The nine groups were group I "catastrophic surgical abdomen" (7 patients, 1.6%), group II "acute appendicitis and mesenteric lymphadenitis" (56 patients, 12.7%), group III "intestinal obstruction" (57 patients, 12.9%), group IV "viral and bacterial acute gastroenteritis" (90 patients, 20.4%), group V "peptic ulcer and gastroduodenitis" (66 patients, 14.9%), group VI "hepatobiliary and pancreatic disease" (14 patients, 3.2%), group VII "febrile viral illness and extraintestinal infection" (69 patients, 15.6%), group VIII "functional gastrointestinal disorder (acute manifestation)" (20 patients, 4.5%), and group IX "unclassified acute abdominal pain" (63 patients, 14.3%). Four patients were enrolled in two disease groups each. CONCLUSION: Patients were distributed unevenly across the nine groups of acute abdominal pain. In particular, the "unclassified abdominal pain" only group was not uncommon. Considering a systemic classification for acute abdominal pain may be helpful in the diagnostic approach in children.
Abdominal Pain* ; Appendicitis ; Child* ; Classification* ; Diagnosis ; Humans ; Retrospective Studies ; Ulcer

BACKGROUND: Adult-onset Still's disease (AOSD) is a rare systemic inflammatory disease of an unknown etiology, and this is characterized by spiking fever, evanescent rash, arthritis and multiorgan involvement. OBJECTIVE: This study was conducted to better understand the clinical characteristics of patients with AOSD, and especially the cutaneous features. METHODS: We reviewed the medical records and cutaneous findings of 21 patients who were diagnosed with AOSD at our hospital from 2003 to 2009. The diagnosis of AOSD was based on the criteria proposed by Yamaguchi et al. RESULTS: Eighteen (86%) out of the 21 patients were women, and the age of onset ranged from 18 to 55 years. Fever occurred in 21 (100%) patients, skin rash in 20 (95%), arthralgia in 18 (86%), sore throat in 10 (48%) and lymphadenopathy in 7 (33%). The cutaneous features were as follows: typical maculopapular eruption (70%), urticaria (10%), petechia and purpura (10%), persistent plaques and linear pigmentation (5%) and acne-like lesions (5%). The most common sites of skin lesion were the trunk (80%) and thighs (80%). The histopathologic findings of 9 patients showed non-specific chronic inflammation with a perivascular mononuclear preponderance in 6 patients, and the others were consistent with urticaria or leukocytoclastic vasculitis. CONCLUSION: The various cutaneous features of this study suggest that dermatologists should consider AOSD in any patient with cutaneous eruption associated with fever and arthralgia.
Adult ; Age of Onset ; Arthralgia ; Arthritis ; Exanthema ; Female ; Fever ; Humans ; Inflammation ; Lymphatic Diseases ; Medical Records ; Pharyngitis ; Pigmentation ; Purpura ; Skin ; Still's Disease, Adult-Onset ; Thigh ; Urticaria ; Vasculitis ; Vasculitis, Leukocytoclastic, Cutaneous

Signet ring cell carcinoma of lung is an unique variant of mucin producing adenocarcinoma which is characterized by abundant intracellular mucin accumulation. Only a few cases of primary signet ring cell carcinoma of lung have been reported in the world wide literature. And we have, recently experienced one case of primary signet ring cell carcinoma of lung. A 55 years old man was evaluated for paralysis of lower extremities and was found to have lung cancer in the left upper and lower lobe with pleural, multiple spinal, bone and liver metastases. Signet ring tumor cells were revealed by cytologic examination of pleural fluids. And there were no evidence of signet ring cell carcinoma of other organs. Primary signet ring cell carcinoma of lung seems to have an aggressive behavior and therapeutic modalities could be different from those for signet ring cell carcinomas from other organs. Therefore it is important to separate primary signet ring cell adenocarcinoma of lung from metastatic tumors.
Adenocarcinoma ; Carcinoma, Signet Ring Cell* ; Humans ; Liver ; Lower Extremity ; Lung Neoplasms ; Lung* ; Middle Aged ; Mucins ; Neoplasm Metastasis* ; Paralysis

OBJECTIVE: The purpose of this study was to evaluate the clinical usefulness of CD44v6 in patients with histologically confirmed endometrial cancer. METHODS: Immunohistochemistry was used to determine the expression of CD44v6 in 39 hysterectomy specimens with the diagnosis of endometrial cancer. RESULTS: CD44v6 expression was detected in 8 specimens with no myometrial invasion of endometrial cancer, one specimen with <50% myometrial invasion, and none with >50% myometrial invasion. There was a significant association between CD44v6 expression and no myometrial invasion of endometrial cancer. There was a statistically significant association between CD44v6 expression and lymph node metastasis, lymphovascular involvement. And all cases of CD44v6 expression were FIGO stage I with histological grade 1 or 2. CD44v6 expression was statistically related with estrogen receptor expression. Although statistical significance was not revealed, it was likely that CD44v6 expression was related with progesterone receptor expression with positive predictive value of 6/9 (66.7%). CONCLUSION: Significant relationships between myometrial invasion, lymph node metastasis, lymphovascular involvement, surgical stage and expression of estrogen receptor and CD44v6 expression suggest that CD44v6 expression could be a good prognostic factor. CD44v6 expression may have potential clinical usefulness if this expression is demonstrated in a further study with prehysterectomy sampling specimens containing endometrial cancer.
Diagnosis ; Endometrial Neoplasms* ; Estrogens ; Female ; Humans ; Hysterectomy ; Immunohistochemistry ; Lymph Nodes ; Neoplasm Metastasis ; Receptors, Progesterone