Changes in surgery rates among hospitalized patients with inflammatory bowel disease in Japan from 2015 to 2019: A nationwide administrative database analysis.

BACKGROUND AND AIM: Treatment of inflammatory bowel disease (IBD), consisting of ulcerative colitis (UC) and Crohn's disease (CD), has advanced with the application of biologics or Janus kinase inhibitor (JAKi); however, some patients still need surgery. We assessed time trends of surgery and biologics or JAKi variety in Japan. METHODS: Patients hospitalized due to IBD were analyzed using Diagnosis Procedure Combination data between 2015 and 2019. Longitudinal trend analysis was performed for demographics, and interrupted time-series analysis was performed to examine the association between surgery rates and an increase in the types of biologics or JAKi. RESULTS: Totally, 37 867 cases with UC and 35 493 cases with CD were analyzed. Over 5 years, the surgery rate decreased in both UC and CD. The proportion of biologics and JAKi usage increased in UC and stabilized in CD. Between decreasing surgery and expanding treatment options of biologic or JAKi, interrupted time-series analysis results showed no significant correlation (level change in UC, -1.13, 95% confidence interval [CI]: -2.11 to -0.16, P = 0.0235; slope change in UC, -0.05, 95% CI: -0.26 to 0.16, P = 0.6372; level change in CD, -0.55, 95% CI: -1.82 to 0.71, P = 0.3815; slope change in CD, -0.22, 95% CI: -0.63 to 0.19, P = 0.2892). CONCLUSIONS: In Japan, from 2015 to 2019, the use of biologics or JAKi increased for UC and slightly decreased for CD, while the number of surgeries decreased in both. Our findings suggest that more widespread use of biologics or JAKi therapy could reduce surgeries in patients with IBD.

Submandibular gland carcinoma ex pleomorphic adenoma with calcification.

We report an unusual case of carcinoma ex pleomorphic adenoma (CXPA) in the submandibular gland. The mass had a unique calcification. Panoramic tomography revealed sponge-like calcification. The central portion displayed heterogeneous high signal intensity on T1-weighted image (T1WI) and T2-weighted image (T2WI), and heterogeneously moderate signal intensity on a short-TI inversion recovery (STIR) image. The ADC was low (0.78 × 10-3mm2/sec). After surgical excision, a pathological examination revealed that the mass contained CXPA as a minor component. Tumor cells with large hyperchromatic nuclei and eosinophilic or clear cytoplasm proliferated in irregular small tubule formations or cribriform or Roman-bridge structures in hyalinized or focally ossified stroma. The entire mass was calcified, particularly in the central region. Taken together, the reduced T1 relaxation times were related to the surface effects of diamagnetic particles, which were observed at calcium particle concentrations of up to 30%. We report a CXPA with unusual sponge-like calcification, which appeared unusually hyperintense on T1WI due to a surface effect.

The Transoral Endoscope-Assisted Approach for Removal of a Dental Implant Displaced into the Maxillary Sinus: A Case Report and Review of the Literature.

Purpose: A dental implant displaced into the maxillary sinus can be removed transorally or transnasally. There is no report investigating any potential positional limitations by the transoral endoscope-assisted approach. The implant's location within the maxillary sinus was reviewed to clarify indications for this approach. Case report: A 36-year-old man was referred to us for removal of a dental implant displaced into the right maxillary sinus. The implant changed position preoperatively, but the transoral endoscope-assisted approach proved successful. Methods: A literature search through October 2020 was performed in PubMed for cases of implant removal from the maxillary sinus via transoral endoscope-assisted and transnasal endoscopic approaches. Results: Sixty-two prior cases were identified, 20 cases by the transoral endoscope-assisted approach and 43 cases by one or two transnasal endoscopic approaches, including one duplicate case. There were no cases in which the implant was not identified by the transoral endoscope-assisted approach, but two cases in which the implant had moved to an unfavorable location and was not identified by only the initial transnasal endoscopic approach. Conclusion: Clinicians can preferentially choose the transoral endoscope-assisted approach, considering the possibility of unfavorable repositioning of the displaced implant within the maxillary sinus.

Expression of Neurokinin B Receptor in the Gingival Squamous Cell Carcinoma Bone Microenvironment.

Gingival squamous cell carcinoma (SCC) frequently invades the maxillary or mandibular bone, and bone destruction is known as a key prognostic factor in gingival SCCs. Recently, Neurokinin 3 receptor (NK-3R), the receptor ligand for NK-3, which is a member of the tachykinin family expressed in the central nervous system, was identified through pathway analysis as a molecule expressed in osteoclasts induced by the hedgehog signal. Although the expression of NK-3R has been detected in osteoclast and SCC cells at the bone invasion front, the relationship between NK-3R expression and the prognosis of gingival SCC patients remains unclear. In the present study, we retrospectively reviewed 27 patients with gingival SCC who had undergone surgery with curative intent. Significantly higher NK-3R expression in tumor cells was found in a case of jawbone invasion than in a case of exophytic poor jawbone invasion. On the other hand, no significant association was observed between NK-3R tumor-positive cases and tumor size, TNM stage, or tumor differentiation. The survival rate tended to be lower in NK-3R tumor-positive cases, but not significantly. However, the disease-specific survival rate was significantly lower in patients with a large number of NK-3R-positive osteoclasts than in those with a small number of them at the tumor bone invasion front. Our results suggest that NK-3R signaling in the gingival SCC bone microenvironment plays an important role in tumor bone destruction and should be considered a potential therapeutic target in advanced gingival SCC with bone destruction.

Surgical resection for advanced bisphosphonate-related osteonecrosis of the jaw associated with fibrous dysplasia: a case report.

Bisphosphonate-related osteonecrosis of the jaw (BRONJ) is an adverse drug reaction represented by destruction and/or death of bone. Fibrous dysplasia (FD) is a rare bony disorder characterised by abnormal fibro-osseous tissue that has lowered resistance to infection. Effective treatments for BRONJ that follows FD are unclear. Here, we report that advanced BRONJ associated with FD was successfully treated by surgical resection. A 69-year-old woman, whose left maxillary bone showed a ground glass appearance on computed tomography (CT) images, was taking alendronate. At 1 year after teeth within the abnormal bone were extracted, exposed bone was observed in the extraction sites and CT images revealed separated sequestrums. Under the clinical diagnosis of Stage 2 BRONJ with FD, we performed not only sequestrectomy but also a partial resection of the FD. Thereafter, the healing was uneventful without recurrence. In conclusion, our case suggests that surgical resection is useful for advanced BRONJ associated with FD.

Age-associated proteomic alterations in human aortic media.

AIM: Human vascular senescence, which mainly occurs in media, is not completely understood. Here, we used proteomic approaches to investigate age-associated changes in human aortic media with the goal of understanding the molecular mechanisms underlying vascular senescence. METHOD: Cryopreserved autopsy samples of aortic media from older-aged (aged 70-100 years, n = 25), middle-aged (aged 49-68 years, n = 24), and young (aged 21-39 years, n = 12) subjects were collected. We used two proteomic techniques, two-dimensional differential gel electrophoresis and isobaric tags for relative and absolute quantitation, and we subjected differentially-expressed proteins among age groups to immunohistochemical analyses. RESULTS: Proteomic analyses showed that the expression of lactadherin, which produces medin, was elevated in aortic media of older-aged individuals. Immunohistochemical and Congo red staining showed that lactadherin and apolipoprotein E were deposited, and that amyloidosis was enhanced in older-aged aortic media. Furthermore, the markers of oxidative damage (8-hydroxy-2'-deoxyguanosine and 4-hydroxy-2-nonenal) were significantly elevated in aortic media of middle-aged or older-aged individuals. The immunohistochemical expression of anti-oxidant proteins (thioredoxin and extracellular superoxide dismutase) was also high in middle-aged and older-aged groups. Oxidative damage might induce the disruption of smooth muscle cells, resulting in the decrement of α-actin, a highly-expressed protein in smooth muscle cells, and matrix remodeling, in which several proteins associated with extracellular matrix were altered with aging. CONCLUSIONS: Proteomic approaches showed that the elevated expression of lactadherin might contribute to amyloid deposition, enhancement of oxidative stress, induction of antioxidant proteins and matrix remodeling in older-aged aortic media. Geriatr Gerontol Int 2019; 19: 1054-1062.

Evaluation of cone-beam computed tomography diagnostic image quality using cluster signal-to-noise analysis.

OBJECTIVES: (1) We sought to assess correlation among four representative parameters from a cluster signal-to-noise curve (true-positive rate [TPR] corresponding to background noise, accuracy corresponding to background noise, maximum TPR, and maximum accuracy) and the diagnostic accuracy of the identification of the mandibular canal using data from observers in a previous study, under the same exposure conditions. (2) We sought to clarify the relationship between the hole depths of a phantom and diagnostic accuracy. METHODS: CBCT images of a Teflon plate phantom with holes of decreasing depths from 0.7 to 0.1 mm were analyzed using the FindFoci plugin of ImageJ. Subsequently, we constructed cluster signal-to-noise curves by plotting TPRs against false-positive rates. The four parameters were assessed by comparing with the diagnostic accuracy calculated from the observers. To analyze image contrast ranges related to detection of mandibular canals, we determined five ranges of hole depths, to represent different contrast ranges-0.1-0.7, 0.1-0.5, 0.2-0.6, 0.2-0.7 and 0.3-0.7 mm-and compared them with observers' diagnostic accuracy. RESULTS: Among the four representative parameters, accuracy corresponding to background noise had the highest correlation with the observers' diagnostic accuracy. Hole depths of 0.3-0.7 and 0.1-0.7 mm had the highest correlation with observers' diagnostic accuracy in mandibles with distinct and indistinct mandibular canals, respectively. CONCLUSIONS: The accuracy corresponding to background noise obtained from the cluster signal-to-noise curve can be used to evaluate the effects of exposure conditions on diagnostic accuracy.

Determination of optimum exposure parameters for dentoalveolar structures of the jaws using the CB MercuRay system with cluster signal-to-noise analysis.

OBJECTIVE: To determine the optimum cone beam computed tomography exposure parameters for specific diagnostic tasks. METHODS: A Teflon phantom attached to a half-mandible in a large container was scanned in dental (D), implant (I), and panoramic (P) modes. An identical phantom in a small container was scanned in D mode. Both were scanned at 60, 80, 100, and 120 kV. We evaluated the image quality of five anatomical structures [dentinoenamel junction (1), lamina dura and periodontal ligament space (2), trabecular pattern (3), cortex-spongy bone junction (4), and pulp chamber and root canal (5)] and analyzed the diagnostic image quality with cluster signal-to-noise analysis. We then evaluated correlations between the two image qualities and calculated the threshold of acceptable diagnostic image quality. Optimum exposure parameters were determined from images with acceptable diagnostic image quality. RESULTS: For the small container, the optimum exposure parameters were D mode, 80 kV for (1), (3), and (4) and D mode, 100 kV for (5). For the large container, they were D mode, 120 kV for (1), (3), and (5) and D mode, 100 kV for (4). I mode, 120 kV reached the acceptable level for (4). No images reached the acceptable level for (2). CONCLUSIONS: No optimum exposure parameters were identified for the evaluation of the lamina dura and periodontal ligament space. D mode was sufficient for the other structures; however, the tube voltage required for each structure differed. Smaller patients required lower tube voltage. I mode, 120 kV may be used for larger lesions.

Retinoic Receptor Signaling Regulates Hypertrophic Chondrocyte-specific Gene Expression.

BACKGROUND/AIM: Retinoid signaling is important for the maturation of growth-plate chondrocytes. The effect of retinoid receptor gamma (RARγ) signaling on the expression of genes in hypertrophic chondrocytes is unclear. This study investigated the role of RARγ signaling in regulation of hypertrophic chondrocyte-specific genes. MATERIALS AND METHODS: The gene expression in mouse E17.5 tibial cartilage was examined by in situ hybridization analysis. Real-time reverse transcription-polymerase chain reaction (RT-PCR) and immunoblotting were used for analysis of mRNA and phosphorylated mitogen-activated protein kinase (MAPK). RESULTS: mRNA expression of Rarg and connective tissue growth factor (Ccn2) was detected in maturing chondrocytes throughout the cartilaginous skeletal elements. In chondrogenic ATDC5 cells, an RARγ agonist induced the gene expression of type-X collagen (Col10A1), transglutaminase-2 (Tg2), matrix metalloproteinase-13 (Mmp13), and Ccn2 mRNA, whereas a retinoic acid pan-agonist suppressed RARγ agonist-stimulated gene expression. Phosphorylated extracellular signal regulated-kinases (pERK1/2), p-p38, and phosphorylated c-Jun N-terminal kinase (pJNK) MAPK were time-dependently increased by RARγ agonist treatment. Experimental p38 inhibition led to a severe drop in the RARγ agonist-stimulated expressions of Col10A1, Tg2, Mmp13, and Ccn2 mRNA. CONCLUSION: RARγ signaling is required for the differentiation of hypertrophic chondrocytes, with differential cooperation with p38 MAPK.

Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam CT.

OBJECTIVES: To compare the results of a new quantitative image quality evaluation method that requires no observers with the results of receiver operating characteristic (ROC) analysis in detecting the mandibular canal (MC) in cone beam CT (CBCT) images. METHODS: A Teflon (polytetrafluoroethylene) plate phantom with holes of different depths was scanned with two CBCT systems. One CBCT system was equipped with an image intensifier (Experiment 1), and the other was equipped with a flat panel detector (Experiment 2). Holes that were above the threshold gray value (ΔG), calculated using just-noticeable difference (JND), were extracted. The number of extracted holes was used as the index of the image quality, and was compared with the Az values calculated by ROC analysis to detect the MC. RESULTS: The number of extracted holes reflected the influence of different scanning conditions, and showed a strong correlation with the Az values calculated by ROC analysis. Indices of the number of extracted holes corresponding to high Az values for detecting the MC were obtained in both experiments. CONCLUSIONS: Our image quality evaluation method applying JND to images of a standardized phantom is a quantitative method that could be useful for evaluating the detectability of the MC in CBCT images.

The Prognostic Implications of Bone Invasion in Gingival Squamous Cell Carcinoma.

BACKGROUND/AIM: This study evaluated the associations between bone invasion of gingival squamous cell carcinoma (SCC) and clinicopathological manifestations, and aimed to determine whether bone invasion is an independent prognostic factor in gingival SCC. PATIENTS AND METHODS: The study was a retrospective review of 78 patients with gingival SCC who underwent surgery with curative intent. The level of bone invasion was pathologically categorized as medullary, cortical or no bone invasion. RESULTS: Cortical and medullary bone invasion was present in 29 and 22 patients, respectively. There was a significant association between medullary bone invasion and tumor size (p=0.017), pathological N classification (p<0.001), differentiation (p=0.017) and lymphovascular invasion (p=0.007). Medullary bone invasion and lymphovascular invasion were independent predictors of reduced overall survival (p=0.015, 0.048); medullary bone invasion was also an independent predictor of reduced disease-specific survival (p=0.018). CONCLUSION: Pathologically-proven medullary bone invasion and lymphovascular invasion were found to be key prognostic factors in gingival SCC. The results suggest that it is necessary to consider adjuvant therapy in patients with medullary bone invasion.

Cluster signal-to-noise analysis for evaluation of the information content in an image.

OBJECTIVES: (1) To develop an observer-free method of analysing image quality related to the observer performance in the detection task and (2) to analyse observer behaviour patterns in the detection of small mass changes in cone-beam CT images. METHODS: 13 observers detected holes in a Teflon phantom in cone-beam CT images. Using the same images, we developed a new method, cluster signal-to-noise analysis, to detect the holes by applying various cut-off values using ImageJ and reconstructing cluster signal-to-noise curves. We then evaluated the correlation between cluster signal-to-noise analysis and the observer performance test. We measured the background noise in each image to evaluate the relationship with false positive rates (FPRs) of the observers. Correlations between mean FPRs and intra- and interobserver variations were also evaluated. Moreover, we calculated true positive rates (TPRs) and accuracies from background noise and evaluated their correlations with TPRs from observers. RESULTS: Cluster signal-to-noise curves were derived in cluster signal-to-noise analysis. They yield the detection of signals (true holes) related to noise (false holes). This method correlated highly with the observer performance test (R2 = 0.9296). In noisy images, increasing background noise resulted in higher FPRs and larger intra- and interobserver variations. TPRs and accuracies calculated from background noise had high correlation with actual TPRs from observers; R2 was 0.9244 and 0.9338, respectively. CONCLUSIONS: Cluster signal-to-noise analysis can simulate the detection performance of observers and thus replace the observer performance test in the evaluation of image quality. Erroneous decision-making increased with increasing background noise.

Orthognathic surgery during breast cancer treatment-A case report.

INTRODUCTION: In recent years, patients with orthognathic surgery in middle-aged and elderly people have come to be a more frequent occurrence. Breast cancer is the most frequently diagnosed cancer in woman worldwide, and its prevalence rate is steadily increasing. PRESENTATION OF CASE: We report a case of a 47-year-old Japanese woman in whom left-side breast cancer (Stage 1) was unexpectedly found just before orthognathic surgery in April 2012. Breast-conserving surgery was performed (estrogen receptor+, progesterone receptor+, HER2 -, surgical margin+, sentinel lymph node +) that May. From June to August docetaxel (75mg/m2) and cyclophosphamide (600mg/m2) were administrated four times every 21days and thereafter radiotherapy (total 60Gy) was completed. The cancer surgeon declared the prognosis good and the patient had a strong desire to undergo orthognathic surgery, so in November we performed a bimaxillary osteotomy, and administration of tamoxifen began 6 weeks after the osteotomy. DISCUSSION: There are breast cancer cases in which the prognosis is sufficiently good for a planned orthognathic surgery to proceed. Good communication among surgeons and the patient is important. CONCLUSION: We experienced a case in which breast cancer was found just before the orthognathic surgery; we performed a bimaxillary osteotomy, including follow-up tamoxifen administration, during breast cancer treatment.

A new method to evaluate image quality of CBCT images quantitatively without observers.

OBJECTIVES: To develop an observer-free method for quantitatively evaluating the image quality of CBCT images by applying just-noticeable difference (JND). METHODS: We used two test objects: (1) a Teflon (polytetrafluoroethylene) plate phantom attached to a dry human mandible; and (2) a block phantom consisting of a Teflon step phantom and an aluminium step phantom. These phantoms had holes with different depths. They were immersed in water and scanned with a CB MercuRay (Hitachi Medical Corporation, Tokyo, Japan) at tube voltages of 120 kV, 100 kV, 80 kV and 60 kV. Superimposed images of the phantoms with holes were used for evaluation. The number of detectable holes was used as an index of image quality. In detecting holes quantitatively, the threshold grey value (ΔG), which differentiated holes from the background, was calculated using a specific threshold (the JND), and we extracted the holes with grey values above ΔG. The indices obtained by this quantitative method (the extracted hole values) were compared with the observer evaluations (the observed hole values). In addition, the contrast-to-noise ratio (CNR) of the shallowest detectable holes and the deepest undetectable holes were measured to evaluate the contribution of CNR to detectability. RESULTS: The results of this evaluation method corresponded almost exactly with the evaluations made by observers. The extracted hole values reflected the influence of different tube voltages. All extracted holes had an area with a CNR of ≥1.5. CONCLUSIONS: This quantitative method of evaluating CBCT image quality may be more useful and less time-consuming than evaluation by observation.

Role of Diffusion Tensor Imaging in Prognostication and Treatment Monitoring in Niemann-Pick Disease Type C1.

Niemann-Pick Disease, type C1 (NPC1) is a rapidly progressive neurodegenerative disorder characterized by cholesterol sequestration within late endosomes and lysosomes, for which no reliable imaging marker exists for prognostication and management. Cerebellar volume deficits are found to correlate with disease severity and diffusion tensor imaging (DTI) of the corpus callosum and brainstem, which has shown that microstructural disorganization is associated with NPC1 severity. This study investigates the utility of cerebellar DTI in clinical severity assessment. We hypothesize that cerebellar volume, fractional anisotropy (FA) and mean diffusivity (MD) negatively correlate with NIH NPC neurological severity score (NNSS) and motor severity subscores. Magnetic resonance imaging (MRI) was obtained for thirty-nine NPC1 subjects, ages 1-21.9 years (mean = 11.1, SD = 6.1). Using an atlas-based automated approach, the cerebellum of each patient was measured for FA, MD and volume. Additionally, each patient was given an NNSS. Decreased cerebellar FA and volume, and elevated MD correlate with higher NNSS. The cognition subscore and motor subscores for eye movement, ambulation, speech, swallowing, and fine motor skills were also statistically significant. Microstructural disorganization negatively correlated with motor severity in subjects. Additionally, Miglustat therapy correlated with lower severity scores across ranges of FA, MD and volume in all regions except the inferior peduncle, where a paradoxical effect was observed at high FA values. These findings suggest that DTI is a promising prognostication tool.

Content-based image retrieval for brain MRI: an image-searching engine and population-based analysis to utilize past clinical data for future diagnosis.

Radiological diagnosis is based on subjective judgment by radiologists. The reasoning behind this process is difficult to document and share, which is a major obstacle in adopting evidence-based medicine in radiology. We report our attempt to use a comprehensive brain parcellation tool to systematically capture image features and use them to record, search, and evaluate anatomical phenotypes. Anatomical images (T1-weighted MRI) were converted to a standardized index by using a high-dimensional image transformation method followed by atlas-based parcellation of the entire brain. We investigated how the indexed anatomical data captured the anatomical features of healthy controls and a population with Primary Progressive Aphasia (PPA). PPA was chosen because patients have apparent atrophy at different degrees and locations, thus the automated quantitative results can be compared with trained clinicians' qualitative evaluations. We explored and tested the power of individual classifications and of performing a search for images with similar anatomical features in a database using partial least squares-discriminant analysis (PLS-DA) and principal component analysis (PCA). The agreement between the automated z-score and the averaged visual scores for atrophy (r = 0.8) was virtually the same as the inter-evaluator agreement. The PCA plot distribution correlated with the anatomical phenotypes and the PLS-DA resulted in a model with an accuracy of 88% for distinguishing PPA variants. The quantitative indices captured the main anatomical features. The indexing of image data has a potential to be an effective, comprehensive, and easily translatable tool for clinical practice, providing new opportunities to mine clinical databases for medical decision support.

Corpus callosum diffusion tensor imaging and volume measures are associated with disease severity in pediatric Niemann-Pick disease type C1.

BACKGROUND: Niemann-Pick disease type C1 is a neurodegenerative lysosomal storage disorder. Without a highly effective treatment, biomarkers of severity would be beneficial for prognostication and testing new interventions. Diffusion tensor imaging has shown microstructural abnormalities in adults with Niemann-Pick disease type C1. This is the first study to apply diffusion tensor imaging and volume analysis to evaluate the corpus callosum in a pediatric and adolescent population of patients with Niemann-Pick disease type C1. We hypothesized that the callosal fractional anisotropy, volume, and cross-sectional area will negatively correlate with NPC severity score. METHODS: Thirty-nine individuals with Niemann-Pick disease type C1 aged 1-21.9 years (mean = 11.1; S.D. = 6.1), and each received one magnetic resonance imaging examination. Severity score were obtained by examination and clinical observation. An atlas-based automated approach was used to measure fractional anisotropy, cross-sectional area, and volume. For comparative analysis and validation of this atlas-based approach, one midsagittal image was chosen and the corpus callosum manually traced to obtain cross-sectional area. Statistical analyses were applied to study the relationships between imaging and clinical severity. RESULTS: For patients with Niemann-Pick disease type C1, lower corpus callosum fractional anisotropy, volume, and cross-sectional area significantly correlate with higher severity score. Severity subdomain analysis revealed ambulation, speech, seizures, and incontinence have the strongest relationships with callosal measures. Comparison of atlas-based processing and manual tracing techniques demonstrated validity for the automated method. CONCLUSIONS: For individuals with Niemann-Pick disease type C1, the corpus callosum measures correlate with clinical severity. These findings reveal promise for the discovery of new imaging biomarkers for this disorder.

Multi-contrast multi-atlas parcellation of diffusion tensor imaging of the human brain.

In this paper, we propose a novel method for parcellating the human brain into 193 anatomical structures based on diffusion tensor images (DTIs). This was accomplished in the setting of multi-contrast diffeomorphic likelihood fusion using multiple DTI atlases. DTI images are modeled as high dimensional fields, with each voxel exhibiting a vector valued feature comprising of mean diffusivity (MD), fractional anisotropy (FA), and fiber angle. For each structure, the probability distribution of each element in the feature vector is modeled as a mixture of Gaussians, the parameters of which are estimated from the labeled atlases. The structure-specific feature vector is then used to parcellate the test image. For each atlas, a likelihood is iteratively computed based on the structure-specific vector feature. The likelihoods from multiple atlases are then fused. The updating and fusing of the likelihoods is achieved based on the expectation-maximization (EM) algorithm for maximum a posteriori (MAP) estimation problems. We first demonstrate the performance of the algorithm by examining the parcellation accuracy of 18 structures from 25 subjects with a varying degree of structural abnormality. Dice values ranging 0.8-0.9 were obtained. In addition, strong correlation was found between the volume size of the automated and the manual parcellation. Then, we present scan-rescan reproducibility based on another dataset of 16 DTI images - an average of 3.73%, 1.91%, and 1.79% for volume, mean FA, and mean MD respectively. Finally, the range of anatomical variability in the normal population was quantified for each structure.

Neamine inhibits oral cancer progression by suppressing angiogenin-mediated angiogenesis and cancer cell proliferation.

BACKGROUND: Angiogenin undergoes nuclear translocation and stimulates ribosomal RNA transcription in both endothelial and cancer cells. Consequently, angiogenin has a dual effect on cancer progression by inducing both angiogenesis and cancer cell proliferation. The aim of this study was to assess whether neamine, a blocker of nuclear translocation of angiogenin, possesses antitumor activity toward oral cancer. MATERIALS AND METHODS: The antitumor effect of neamine on oral cancer cells was examined both in vitro and in vivo. RESULTS: Neamine inhibited the proliferation of HSC-2, but not that of SAS oral cancer cells in vitro. Treatment with neamine effectively inhibited growth of HSC-2 and SAS cell xenografts in athymic mice. Neamine treatment resulted in a significant decrease in tumor angiogenesis, accompanied by a decrease in angiogenin- and proliferating cell nuclear antigen-positive cancer cells, especially of HSC-2 tumors. CONCLUSION: Neamine effectively inhibits oral cancer progression through inhibition of tumor angiogenesis. Neamine also directly inhibits proliferation of certain types of oral cancer cells. Therefore, neamine has potential as a lead compound for oral cancer therapy.

Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging".

The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a "growth percentile chart," which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.