Tumor cerebral e gravidez

Lynch, José Carlos; Emmerich, João Cláudio; Kislanov, Sara; Gouvêa, Fabiano; Câmara, Lygia; Silva, Sônia Maria Santos; D’Ippolito, Marcos Machado

doi:10.1590/s0004-282x2007000700023

Cited by 7 publications

(4 citation statements)

References 23 publications

(51 reference statements)

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“…At present, international scholars focus on the treatment of pregnancy complicated with brain tumor. Lynch et al [ 8 ] followed up 6 patients with brain tumors during pregnancy and finally concluded that meningioma is the most common disease type of patients with brain tumors during pregnancy, and pregnancy will aggravate the clinical course of intracranial tumors. Zwinkels et al [ 9 ] followed up the pregnancy of women with glioma during treatment and concluded that low-grade neuroglioma was more common in patients with brain tumors during pregnancy, while high-grade neuroglioma was more likely to be a new phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor

Wei

Yang

et al. 2021

Journal of Healthcare Engineering

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This research was to explore the accuracy of ultrasonic diagnosis based on artificial intelligence algorithm in the diagnosis of pregnancy complicated with brain tumors. In this study, 18 patients with pregnancy complicated with brain tumor confirmed by pathology were selected as the research object. Ultrasound contrast based on artificial bee colony algorithm was performed and diagnosed by experienced clinicians. Ultrasonic image will be reconstructed by artificial bee colony algorithm to improve its image display ability. The pathological diagnosis will be handed over to the physiological pathology laboratory of the hospital for diagnosis. The doctor’s ultrasonic diagnosis results were compared with the pathological diagnosis stage results of patients, and the results were analyzed by statistical analysis to evaluate its diagnostic value. The comparison results showed that the number and classification of benign tumors were the same, while in malignant tumors, the number diagnosis was the same, but there was one patient with diagnostic error in classification. One case of mixed glial neuron tumor was diagnosed as glial neuron tumor, and the diagnostic accuracy was 94.44% and the K value was 0.988. The diagnostic results of the two were in excellent agreement. The results show that, in the ultrasonic image diagnosis of patients with brain tumors during pregnancy based on artificial intelligence algorithm, most of them are benign and have obvious symptoms. Ultrasound has a good diagnostic accuracy and can be popularized in clinical diagnosis. The results can provide experimental data for the clinical application of ultrasonic image feature analysis based on artificial intelligence as the diagnosis of pregnancy complicated with brain tumors.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor

Wei

Yang

et al. 2021

Journal of Healthcare Engineering

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“…Le diagnostic de cancer pendant la grossesse produit toujours un fort impact émotionnel, puisqu'il atteint des personnes en âge de procréer, donc jeunes, qui traversent une période hautement sensible, sans équivalent dans le cours de la vie, des personnes qui s'apprêtent justement à transmettre la vie [14]. Face à l'annonce, toujours brutale, la future mère, le père et leurs familles se trouvent confrontés à une situation qui oblige, en particulier la femme, à faire des choix, avec une liberté souvent très relative (poursuivre ou non la grossesse, commencer ou non tout de suite les traitements et lesquels).…”

Section: Impacts Du Diagnostic : Entre Vie Et Survieunclassified

Impact d’un diagnostic de cancer maternel pendant la grossesse sur les interactions précoces parent-bébé

Wendland

2009

Psycho Oncologie

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Très peu d'études ont exploré l'impact d'un diagnostic de cancer maternel pendant la grossesse sur la femme, les interactions précoces mère-enfant et le devenir psychologique de l'enfant. Au-delà des effets du traumatisme d'une telle annonce au cours de la grossesse, un cancer maternel peut avoir des répercussions néfastes et durables, tant pour la mère dans sa parentalité, que pour le développe-ment de l'enfant à naître. Cet article analyse les effets d'un diagnostic de cancer maternel prénatal sur le couple parental et les interactions précoces parent-bébé à partir de notre pratique clinique en petite enfance et périnatalité. Mots clés Cancer · Grossesse · Mère · Bébé · InteractionAbstract Very few studies have explored the impact of a diagnosis of maternal cancer during pregnancy on the mother, early mother-infant interaction and the infant's psychological development. Beyond the traumatic effect of receiving such news during pregnancy, a mother's cancer may have harmful, long-lasting consequences both for the mother, in her experience of motherhood, and for the infant's development. Based on our clinical experience in the infancy and perinatal fields, this paper examines the impact of a diagnosis of prenatal maternal cancer on the parental couple and on early parent-infant interaction.

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“…one factor associated is the action of progesterone in progesterone receptors found in 80% of meningiomas, leading to an increase during the luteal phase of the menstrual cycle and during pregnancy [22][23][24][25][26] . A proportion of 2.5 women to 1 man was observed in the present series.…”

Section: Relevant Etiological Factorsmentioning

confidence: 99%

Multiple intracranial meningiomas: diagnosis, biological behavior and treatment

Lynch

Ferreira

Welling

et al. 2008

Arq. Neuro-Psiquiatr.

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-Multiple intracranial meningiomas (MIM) are a rare pathology when not associated with neurofibromatosis. The prevalence rate of those tumors varied from 2.3 to 8.9% of all intracranial meningiomas.Objective: To present, analyze and discuss the cases of seven patients diagnosed with multiple intracranial meningiomas, describing their clinical and histological characteristics, as well as their biological behavior. Method: The patients records, surgical descriptions, imaging studies and the histopathological exams were retrospectively reviewed. This is the largest series of MIM publisted in Brazil. Results: This sample consists of five women and two men. The age varied from 42 to 84 (average 53.8). Twenty-two meningiomas were identified and varied from 1.5 to 192 cm 3 , with an 62.8 cm 3 average volume. The number of procedures varied from 1 to 5 per patient. No surgical death occurred in this series. Conclusion: Despite the multiplicity of tumors, number of recurrences, the new tumors, repeated operations and re-operations, radiotherapy and a number of postoperative complications, the patients experienced a long survival in conjunction with a fairly good quality of life.Key WorDs: brain tumors, meningiomas, multiple intracranial meningiomas, microneurological surgery. Meningiomas intracranianos múltiplos: diagnóstico, comportamento biológico e tratamentoResumo -os meningiomas intracranianos múltiplos são tumores raros quando não associados a neurofibromatose, correspondem de 2,3 a 8,9% de todos os meningiomas intracranianos. Objetivo: Apresentar, analisar e discutir 7 pacientes com diagnóstico de meningioma intracraniano múltiplo, descrevendo as características clínicas, histológicas e o comportamento biológico desses tumores. Método: Trata-se de revisão retrospectiva incluindo a análise dos prontuários, das descrições cirúrgicas, dos estudos de imagem e do material histopatológico. esta série é a maior série de meningiomas intracranianos múltiplos publicada no Brasil. Meningiomas are tumors originated from arachnoidal cells present in the villi, in the granulations, in the stroma of the perivascular spaces and in the choroid plexus; corresponding to 13 to 20% of all intracranial tumors [1][2][3] . Multiple intracranial meningiomas (MIM), when not associated with neurofibromatosis, are a rare event, which corresponding to 2.3 to 8.9% of all intracranial meningiomas [4][5][6][7][8][9][10][11] . The multiple intracranial meningiomas terminology should be used only when two or more meningiomas occur either simultaneously or sequentially in different locations. It is important to establish the difference between this pathology and tumor recurrence or diffuse meningiomatosis 1,3,4,[7][8][9][10] . our study aims presenting, analyzing and discussing 7 patients diagnosed with multiple intracranial meningiomas, describing their clinical, radiological, and histological characteristics, as well as their biological behavior. It also highlights the fact that, although the patients underwent a number of surgeries and ...

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Tumor cerebral e gravidez

Cited by 7 publications

References 23 publications

Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor

Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor

Impact d’un diagnostic de cancer maternel pendant la grossesse sur les interactions précoces parent-bébé

Multiple intracranial meningiomas: diagnosis, biological behavior and treatment

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