ABSTRACT
Forensic pathologists often encounter cases of acute subdural hematoma (SDH) due to trauma, whereas those attributable to endogenous causes are rare. Here, we report a case of the latter type in a 42-year-old man who was found dead at home after several months of fever and malaise. Postmortem computed tomography (PMCT) and autopsy were undertaken to clarify the cause of death. PMCT images revealed a fatal SDH and a localized hyper-density area in the right parietal lobe; macroscopic and microscopic examinations revealed SDH due to rupture of a mycotic aneurysm (MA) associated with meningitis. The PMCT images also indicated thickening and calcification of the mitral valve, while autopsy demonstrated infective endocarditis (IE). In addition, PMCT demonstrated a low-density area in the spleen, which was shown to be a splenic abscess at autopsy. PMCT also demonstrated tooth cavities. Based on the findings of autopsy, the cause of death was considered to be SDH due to rupture of the MA resulting from meningitis with IE and splenic abscess. Although PMCT was unable to clarify the significance of any individual feature, a retrospective review of the PMCT images might have suggested IE, bacteremia, or ruptured MA leading to SDH. This case suggests that, instead of interpreting individual features demonstrated on PMCT images, integrated interpretation of overall PMCT findings might provide clues for identifying causes of death, despite the fact that PMCT lacks diagnostic accuracy for infectious diseases such as IE and meningitis.
ABSTRACT
BACKGROUND AND PURPOSE: Delays in recognition and assessment of in-hospital strokes (IHS) can lead to poor outcomes. The aim was to examine whether reorganized IHS code protocol can reduce treatment time. METHODS: IHS code protocol was developed, educational workshops were held for medical personnel. In the protocol, any medical personnel should directly consult a stroke neurologist before any diagnostic studies. Time intervals were compared between the pre- and post-implementation periods and between direct consultation with a stroke neurologist (DC group) and non-DC group in the post-implementation period. RESULTS: A total of 145 patients were included (pre, 42; post, 103). Time from recognition to stroke neurologist assessment (91 vs. 35 min, pâ¯=â¯0.002) and time from recognition to neuroimaging (123 vs. 74, pâ¯=â¯0.013) were significantly lower in the post-implementation period. Time from stroke neurologist assessment to groin puncture was significantly lower (135 vs. 81, pâ¯=â¯0.037). In the post-implementation period, DC group showed significant time savings from last known well (LKW) to recognition (93 vs. 260, pâ¯=â¯0.001), LKW to stroke neurologist assessment (145 vs. 378, pâ¯=â¯0.001), and recognition to stroke neurologist assessment (16 vs. 76, p < 0.001) compared with non-DC group. CONCLUSIONS: Reorganization of IHS code protocol reduced time from stroke recognition to assessment and treatment time. Reorganized IHS code and direct consultation with a stroke neurologist improved the initial response time.
Subject(s)
Clinical Protocols , Delivery of Health Care, Integrated , Endovascular Procedures , Neuroimaging , Referral and Consultation , Stroke/diagnostic imaging , Stroke/therapy , Time-to-Treatment , Aged , Aged, 80 and over , Female , Humans , Inpatients , Male , Predictive Value of Tests , Quality Improvement , Quality Indicators, Health Care , Retrospective Studies , Time Factors , Treatment OutcomeABSTRACT
Aim: This study aimed to translate the TeamSTEPPS® Teamwork Perceptions Questionnaire (T-TPQ) into Japanese and assess its validity and reliability. Design: Translation of the T-TPQ and a cross-sectional survey. Methods: Following a forward and back translation of the questionnaire, content validity was assessed by an expert panel using item-level content validity index. Construct validity was assessed by a confirmatory factor analysis. Further, intraclass correlation coefficient was estimated by test-retest methods. Results: A total of 587 healthcare professionals responded to the translated T-TPQ. The item-level content validity index ranged between 0.8 and 1.0, indicating an acceptable content validity. The multiple fit indices showed an acceptable fitting model. Fifty-one healthcare professionals participated in the test-retest method. Intraclass correlation coefficients for all dimensions ranged from 0.838 to 0.957, indicating acceptable test-retest reliability. Our findings suggest that the Japanese version of the T-TPQ has acceptable validity and reliability.
Subject(s)
Perception , Cross-Sectional Studies , Japan , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
Radiotherapy treatment strategies should be personalized based on the radiosensitivity of individual tumors. Clonogenic assays are the gold standard method for in vitro assessment of radiosensitivity. Reproducibility is the critical factor for scientific rigor; however, this is reduced by insufficient reporting of methodologies. In reality, the reporting standards of methodologies pertaining to clonogenic assays remain unclear. To address this, we performed a literature search and qualitative analysis of the reporting of methodologies pertaining to clonogenic assays. A comprehensive literature review identified 1672 papers that report the radiosensitivity of human cancer cells based on clonogenic assays. From the identified papers, important experimental parameters (i.e. number of biological replicates, technical replicates, radiation source and dose rate) were recorded and analyzed. We found that, among the studies, (i) 30.5% did not report biological or technical replicates; (ii) 47.0% did not use biological or technical replicates; (iii) 3.8% did not report the radiation source; and (iv) 32.3% did not report the dose rate. These data suggest that reporting of methodologies pertaining to clonogenic assays in a considerable number of previously published studies is insufficient, thereby threatening reproducibility. This highlights the need to raise awareness of standardization of the methodologies used to conduct clonogenic assays.
Subject(s)
Cell Survival/radiation effects , Neoplasms/radiotherapy , Radiation Oncology/standards , Radiation Tolerance/radiation effects , Biological Assay/methods , Cell Line, Tumor , Cells, Cultured , Gamma Rays , Humans , Neural Networks, Computer , Reproducibility of Results , Research Design , Treatment Outcome , Tumor Stem Cell Assay/methods , X-RaysABSTRACT
BACKGROUND AND PURPOSE: Integrated analysis of existing radiosensitivity data obtained by the gold-standard clonogenic assay has the potential to improve our understanding of cancer cell radioresistance. However, extraction of radiosensitivity data from the literature is highly labor-intensive. To aid in this task, using deep convolutional neural networks (CNNs) and other computer technologies, we developed an analysis pipeline that extracts radiosensitivity data derived from clonogenic assays from the literature. MATERIALS AND METHODS: Three classifiers (C1-3) were developed to identify publications containing radiosensitivity data derived from clonogenic assays. C1 uses Faster Regions CNN with Inception Resnet v2 (fRCNN-IRv2), VGG-16, and Optical Character Recognition (OCR) to identify publications that contain semi-logarithmic graphs showing radiosensitivity data derived from clonogenic assays. C2 uses fRCNN-IRv2 and OCR to identify publications that contain bar graphs showing radiosensitivity data derived from clonogenic assays. C3 is a program that identifies publications containing keywords related to radiosensitivity data derived from clonogenic assays. A program (iSF2) was developed using Mask RCNN and OCR to extract surviving fraction after 2-Gy irradiation (SF2) as assessed by clonogenic assays, presented in semi-logarithmic graphs. The efficacy of C1-3 and iSF2 was tested using seven datasets (1805 and 222 publications in total, respectively). RESULTS: C1-3 yielded sensitivity of 91.2%⯱â¯3.4% and specificity of 90.7%⯱â¯3.6%. iSF2 returned SF2 values that were within 2.9%⯱â¯2.6% of the SF2 values determined by radiation oncologists. CONCLUSION: Our analysis pipeline is potentially useful to acquire radiosensitivity data derived from clonogenic assays from the literature.
Subject(s)
Data Mining , Deep Learning , Radiation Tolerance , Cell Survival/radiation effects , HumansABSTRACT
This study evaluated whether reduced compression mammography to relieve breast tenderness is feasible. Women can better tolerate a compression force of approximately 90 N in mammography. The breast thickness increased approximately 3 mm when the compression force was reduced to 90 N, and although the radiation dose increased approximately 20%, the image quality was identical to that with standard compression. Many patients experience breast pain with a compression force of 120 N. Reduced compression force mammography is acceptable in women whose breasts are particularly sensitive.