Various cancer types have been associated with cancer-related cerebral infarction. In this study, we describe the first case of cancer-related cerebral infarction in which the underlying disease was primary bone marrow lymphoma (PBML). A 79-year-old man presented with abruptly developed bilateral lower extremity weakness and confusion. Diffusion-weighted imaging on admission showed multiple cortical and subcortical embolic infarction lesions in multiple vascular territories. Diagnostic evaluations to determine the embolic source revealed no abnormalities. Laboratory testing demonstrated elevated D-dimer (2.59 μg/mL) but no other prothrombotic abnormalities. In suspicion of cancer-related stroke, we performed chest CT, abdomen CT, and FDG-PET to detect the hidden malignancy. Findings revealed no evidence of cancer; however, they did reveal signs of anemia (hemoglobin 9.0 g/dL). Bone marrow aspiration biopsy showed large atypical B cell involvement suggestive of high-grade B cell lymphoma. The patient was diagnosed with primary bone marrow diffuse large B-cell lymphoma initially presenting with ischemic stroke. Our case suggests that primary bone marrow cancer may be a candidate for the differential diagnosis of hidden malignancy in patients with suspected cancer-related stroke. Bone marrow biopsy may be essential for establishing an appropriate differential diagnosis in patients with abnormal hematologic findings.

Purpose: Multi-echo gradient echo (mGRE) images are used to acquire and analyze multiple echo signals. As the number of acquired echoes increases, more information on the voxel decay changes can be obtained, facilitating myelin water fraction (MWF) mapping.However, an increase in the acquired echoes leads to an increase in scan time. In this study, we developed a workflow to reduce the scan time using a two-stage neural network approach, which extrapolates additional echo images using mGRE data. Materials and Methods: In Stage 1, a pseudo-T1 map was estimated using a U-net network combined with a simple signal model to correct the bias between two mGRE acquired with different scan parameters. The pseudo-T1 map was used to generate an initial echo time (TE) image from the mGRE images. In Stage 2, subsequent TE images were predicted from the initial echo image generated using a trained prediction network. The results were quantitatively compared with those obtained using a fitting algorithm. The MWF mapping results were then compared. Results: The proposed model exhibited better root mean square error, structural similarity index measure, and peak signal-to-noise ratio, as well as a higher correlation with the MWF analysis compared to the fitting algorithm. Conclusion These results demonstrate that the proposed network can effectively reduce the scan time for mGRE image acquisition.

Purpose: Multi-echo gradient echo (mGRE) images are used to acquire and analyze multiple echo signals. As the number of acquired echoes increases, more information on the voxel decay changes can be obtained, facilitating myelin water fraction (MWF) mapping.However, an increase in the acquired echoes leads to an increase in scan time. In this study, we developed a workflow to reduce the scan time using a two-stage neural network approach, which extrapolates additional echo images using mGRE data. Materials and Methods: In Stage 1, a pseudo-T1 map was estimated using a U-net network combined with a simple signal model to correct the bias between two mGRE acquired with different scan parameters. The pseudo-T1 map was used to generate an initial echo time (TE) image from the mGRE images. In Stage 2, subsequent TE images were predicted from the initial echo image generated using a trained prediction network. The results were quantitatively compared with those obtained using a fitting algorithm. The MWF mapping results were then compared. Results: The proposed model exhibited better root mean square error, structural similarity index measure, and peak signal-to-noise ratio, as well as a higher correlation with the MWF analysis compared to the fitting algorithm. Conclusion These results demonstrate that the proposed network can effectively reduce the scan time for mGRE image acquisition.

Purpose: Multi-echo gradient echo (mGRE) images are used to acquire and analyze multiple echo signals. As the number of acquired echoes increases, more information on the voxel decay changes can be obtained, facilitating myelin water fraction (MWF) mapping.However, an increase in the acquired echoes leads to an increase in scan time. In this study, we developed a workflow to reduce the scan time using a two-stage neural network approach, which extrapolates additional echo images using mGRE data. Materials and Methods: In Stage 1, a pseudo-T1 map was estimated using a U-net network combined with a simple signal model to correct the bias between two mGRE acquired with different scan parameters. The pseudo-T1 map was used to generate an initial echo time (TE) image from the mGRE images. In Stage 2, subsequent TE images were predicted from the initial echo image generated using a trained prediction network. The results were quantitatively compared with those obtained using a fitting algorithm. The MWF mapping results were then compared. Results: The proposed model exhibited better root mean square error, structural similarity index measure, and peak signal-to-noise ratio, as well as a higher correlation with the MWF analysis compared to the fitting algorithm. Conclusion These results demonstrate that the proposed network can effectively reduce the scan time for mGRE image acquisition.

PURPOSE: Flow interruptor high frequency ventilator(HFV) on neonatal respiratory failure caused by various disorders has been applied in order to assess its therapeutic effect and safety. METHODS: Premature babies below 1.8kg with respiratory failure from 1991 to 1997 in the Fatima neonatal intensive care unit(NICU) for 6 year and 4 months are included. Flow interruptor HFV with low intermittent mandatory ventilation(IMV) has been applied in 74 cases. If clinical symptom and arterial blood gas analysis(ABGA) became stable for 6-12 hrs, we started weaning aggressively. RESULTS: Mean duration of HFV with low IMV was 5.4 4 days. Initial success rate of weaning was 63 cases(85.1%). Weaning failure rate was 11 cases(14.9%). Six cases was due to underlying sepsis. Four cases was caused by pneumothorax and one case resulted from patent ductus arteriosus(PDA) with congestive heart failure(CHF). Complication of HFV with combined low IMV was 5 cases of pneumothorax, 4 cases of grade III intraventricular hemorrhage and one case of bronchopulmonary dysplasia(BPD). Eleven cases of stage III or more retinopathy of prematurity(ROP) and 5 cases of periventricular leukomalasia(PVL) were confirmed. CONCLUSION: Flow interruptor HFV with low IMV can be used safely as conventional mechanical ventilators in the case of respiratory failure caused by various disorders. If MAP has been adjusted appropriately, incidence of pneumothorax and BPD are expected to diminish by aggressive weaning as clinical symptom become stable.
Estrogens, Conjugated (USP) ; Heart ; Hemorrhage ; High-Frequency Ventilation* ; Incidence ; Infant, Newborn ; Intensive Care, Neonatal ; Pneumothorax ; Respiratory Insufficiency* ; Sepsis ; Ventilators, Mechanical ; Weaning

Microsatellite mutator phenotype (MMP) tumors were reported in a subset of gastrointestinal carcinomas. The molecular pathogenesis of MMP tumors shows defects in the DNA mismatch repair genes, and also many germline and somatic mutations were reported in the MMP tumors. However, the detection of genetic defects in the MMP tumors is very difficult, mainly because many genes are included in the DNA mismatch repair genes. This study was undertaken to determine the best strategy for detecting defects in the DNA mismatch repair genes in gastrointestinal carcinomas. One of the effective ways for detecting defects in DNA mismatch repair genes is to screen the MMP tumors and evaluate the products of DNA mismatch repair genes by performing the multiplex RT-PCR method. We have screened the MMP tumors by using 5 microsatellite markers in the 12 cancer cell lines, 120 colon carcinomas and 99 gastric carcinomas and found 6 MMP cell lines, 10 MMP colon cancers, and 9 MMP gastric carcinomas. In addition, we evaluated 6 DNA mismatch repair gene products (hMSH2, hMSH3, hMSH6, hMLH1, hPMS1 and hPMS2) by multiplex RT-PCR analysis and found decreased expression of the DNA mismatch repair genes in 5 (hMSH6 in DLD-1 and HCT-15; hMSH2 in LoVo; hMLH1 and hMSH3 in HCT-116; hMLH1 in SNU-638) out of 6 MMP cell lines. We also found a decreased expression of hMLH1 in 3 out of 10 MMP colon carcinomas, and in 6 out of 9 MMP gastric carcinomas. Our results indicate that the expression analysis of the DNA mismatch repair genes by multiplex RT-PCR method can reduce the number of genes subjected to mutational analysis and is convenient for screening the responsible DNA mismatch repair genes.
Cell Line ; Colon ; Colonic Neoplasms ; DNA Mismatch Repair* ; DNA* ; Mass Screening ; Microsatellite Repeats* ; Phenotype*

Angiofibroma and shagreen patches are common cutaneous manifestations of tuberous sclerosis complex (TSC) and have significant physical and psychological repercussions for patients. Several treatments have been proposed to improve lesions; however, clear treatment guidelines have not yet been presented. Thus, we introduce a case of angiofibroma and shagreen patch improved by application of pulsed dye laser, ablative fractional CO2 laser, and topical rapamycin, and present clinical implications for the treatment of angiofibroma and shagreen patch in TSC.

NgR1, a Nogo receptor, is involved in inhibition of neurite outgrowth and axonal regeneration and regulation of synaptic plasticity. P19 embryonal carcinoma cells were induced to differentiate into neuron-like cells using all trans-retinoic acid and the presence and/or function of cellular molecules, such as NgR1, NMDA receptors and STAT3, were examined. Neuronally differentiated P19 cells expressed the mRNA and protein of NgR1, which could stimulate the phosphorylation of STAT3 when activated by Nogo-P4 peptide, an active segment of Nogo-66. During the whole period of differentiation, mRNAs of all of the NMDA receptor subtypes tested (NR1, NR2A-2D) were consistently expressed, which meant that neuronally differentiated P19 cells maintained some characteristics of neurons, especially central nervous system neurons. Our results suggests that neuronally differentiated P19 cells expressing NgR1 may be an efficient and convenient in vitro model for studying the molecular mechanism of cellular events that involve NgR1 and its binding partners, and for screening compounds that activate or inhibit NgR1.
Axons ; Central Nervous System ; Embryonal Carcinoma Stem Cells* ; Mass Screening ; N-Methylaspartate ; Neurites ; Neurons ; Phosphorylation ; Plastics ; Receptors, N-Methyl-D-Aspartate ; Regeneration ; RNA, Messenger ; Tretinoin*

Disseminated intravascular coagulation (DIC) is usually developed after infection, metastatic cancer or complicated pregnancy. We experienced a case of infertile woman with adenomyosis, who had not been predisposed any common risk factors but had acute DIC during menstruation after controlled ovarian stimulation. The patient received anticoagulation therapy with supplementation of coagulation factors, followed by surgical removal of uterus 3 months later. We assumed that DIC resulted from rapidly aggravated lesion during controlled ovarian stimulation and massive intramuscular hemorrhage during menstruation. So, we report the case with brief review of literatures.
Adenomyosis ; Blood Coagulation Factors ; Dacarbazine ; Disseminated Intravascular Coagulation ; Female ; Hemorrhage ; Humans ; Infertility ; Menstruation ; Ovulation Induction ; Pregnancy ; Risk Factors ; Uterus

No abstract available.
Cheilitis ; Lip ; Sialadenitis