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1.
Norwani Basir Pemasari Upali Telisinghe Vui Heng Chong 《The Indian journal of surgery》2015,77(6):545-546
Paraneoplastic pemphigus is a relatively rare but significant acquired autoimmune mucocutaneous disorder that is characterised by diffuse erythema, painful blistering and sores of the skin and mucus membranes. The underlying pathogenesis is believed to be triggered by altered immune system in response to underlying neoplasm. The manifestations can predate, occur at the same time or after the diagnosis of cancer. Associations with gastric cancer have only been reported twice. A 78-year-old lady presented with a month’s history of extensive skin lesions that started off as bullous lesions and biopsy revealed bullous pemphigus. Endoscopy for anemia revealed gastric cancer. This case reinforced the need to consider underlying malignancy in elderly patient with new onset dermatological presentation. 相似文献
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IntroductionPredicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for pCR could be detected from WSIs.Materials and methodsWe retrospectively collected data from four cohorts of 874 patients diagnosed with biopsy-proven breast cancer. A deep learning pathological model (DLPM) was constructed to predict pCR using biopsy WSIs in the primary cohort, and it was then validated in three external cohorts. The DLPM could generate a deep learning pathological score (DLPs) for each patient; stromal tumor-infiltrating lymphocytes (TILs) were selected for comparison with DLPs.ResultsThe WSI feature-based DLPM showed good predictive performance with the highest area under the curve (AUC) of 0.72 among the cohorts. Alternatively, the combination of the DLPM and clinical characteristics offered a better prediction performance (AUC >0.70) in all cohorts. We also evaluated the performance of DLPM in three different breast subtypes with the best prediction for the triple-negative breast cancer (TNBC) subtype (AUC: 0.73). Moreover, DLPM combined with clinical characteristics and stromal TILs achieved the highest AUC in the primary cohort (AUC: 0.82) and validation cohort 1 (AUC: 0.80).ConclusionOur study suggested that WSIs integrated with deep learning could potentially predict pCR to NAC in breast cancer. The predictive performance will be improved by combining clinical characteristics. DLPs from DLPM can provide more information compared to stromal TILs for pCR prediction. 相似文献
3.
《Neurocirugía (Asturias, Spain)》2022,33(5):237-241
Ewing sarcoma (ES) is a rare primary neoplasm in the lumbar adult spine and may mimic a benign tumor. In this case, after a patient's three-month history of lower back pain and rapidly progressing leg numbness and weakness, magnetic resonance imaging (MRI) showed a mass in the third lumbar vertebra. At a two-month follow-up, imaging showed a fracture, compression and lesion enlargement. Decompression and fixation confirmed ES, and the patient began combined radiotherapy and chemotherapy. Two months postoperatively, residual ES was suspected on MRI. The patient underwent a second surgery, and histopathology confirmed necrosis. A six-month follow-up after the first surgery showed no tumor recurrence. This case supports the inclusion of ES in the differential diagnosis of pathologic spinal fracture. Early decompression and spinal fixation are critical for preserving neurologic and spinal functions in ES complicated by a compression fracture. Combined adjuvant radiotherapy and chemotherapy remain the standard therapeutic strategy. 相似文献
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目的分析Dandy—Walker综合征的临床及cT与MR!影像特征。方法采用cT与MRI常规扫描,对12例Dandy—Walker综合征的临床表现、CT与MRI征象进行回顾性分析;结果12例Dandy—Walker综合征的CT与MRI表现归纳为①小脑蚓部缺失,小脑半球发育不良、完全分离,分离的小脑半球可以不对称;②第四脑室呈囊状、扇形、三角形显著扩张或后颅窝巨大囊状阴影与第四脑室相通;③窦汇异常抬高,越过人字缝/天幕抬高;④幕上脑室对称性扩张,脑积水。结论对Dandy—Walker综合征的诊断,CT扫描能够显示后颅凹及天幕上下脑的形态与结构,其CT表现具特征性;MRI可多平面扫描,无骨质伪影,显示后颅凹优于CT,在矢状面上可显示小脑、第四脑室、导水管、后颅凹囊肿以及与天幕的关系。CT与MRI扫描对Dandy—Walker综合征能够做出定性诊断,是术前诊断的主要依据,检查无痛苦,有重要的诊断和鉴别诊断价值。 相似文献
7.
目的:分析肺心病合并脑梗死的临床特点.方法:对39例肺心病合并脑梗死患者的临床资料进行回顾性分析.结果:肺心病合并脑梗死发病率6.2%,48小时内确诊率48.7%.结论:肺心病合并脑梗死临床表现不典型,及时确诊困难. 相似文献
8.
John K. Brooks Claire O. Leonard Peter J. Coccaro 《American journal of medical genetics. Part A》1992,43(3):595-601
We studied a new case of the G (Opitz BBB/G) syndrome in a 12-year-old boy. Several relatives had partial manifestations of the disorder. A comprehensive dental evaluation of the propositus was conducted; included is, to our knowledge, the first published cephalometric analysis of a G syndrome patient. We reviewed 139 cases of the G syndrome; 48 of them had at least one oral abnormality. These included clefting, micrognathia, ankyloglossia, and high-arched palate. Male G syndrome patients are more likely to have oral anomalies than affected females. © 1992 Wiley-Liss, Inc. 相似文献
9.
Predictivity of Plasma Prolactin Levels in Differentiating Epilepsy from Pseudoseizures: A Prospective Study 总被引:5,自引:0,他引:5
Gian Paolo Anzola 《Epilepsia》1993,34(6):1044-1048
The predictivity of raised plasma prolactin (PRL) concentrations in differentiating seizure from syncopal attack was prospectively assessed in all patients consecutively admitted to the Clinica Neurologica of Brescia, Italy in a 12-month period who fulfilled the criteria for either a seizure or syncopal attack. Postictal plasma prolactin concentration (P1) was assessed as soon as possible after the event. Three further assessments were performed: P2 was sampled 1 h after P1, P3, and P4 were sampled in the morning for the next 2 days. Patients who had had a seizure showed significantly increased P1 concentrations, when P1 was sampled within 60 min of the attack. In seizure patients assessed >1 h after the event, P1 was not significantly different from either P2, P3, or P4. In patients who had had a syncopal attack, PRL concentration never increased. In patients assessed ≤60 min after the seizure, cutoff criterion of P1 exceeding by + 3 SD the mean calculated on P2, P3, and P4 yielded a positive predictive value of 89% and a negative predictive value of 61%. These findings confirm that plasma prolactin concentration is highly predictive of true epilepsy but barely predictive of pseudoseizures. 相似文献
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