Incidence and Possible Predictors of Sodium Disturbance After Craniopharyngioma Resection Based on QST Classification

Liu, Fan; Bao, Yun; Qiu, Binghui; Mao, Jian; Mei, Fen; Liao, Xixian; Huang, Huaping; Qi, Songtao

doi:10.1016/j.wneu.2021.04.001

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…However, this study had some limitations that were difficult to overcome. As ACP is located in the sellar region and adjacent to the hypothalamic-pituitary axis [10,29], we were unable to construct intracranial ACP tumours in the sellar region of immunodeficient mice to simulate ACP-induced injury of the hypothalamicpituitary axis. The ACP-transgenic mouse model may overcome these difficulties [51].…”

Section: Discussionmentioning

confidence: 99%

“…These adverse features can be even more problematic in recurrent ACP [24,25]. Therefore, ACP often results in multiple complications, including hypopituitarism, blindness, infertility/subfertility and hypothalamic dysfunction (particularly hypothalamic obesity, which further causes type 2 diabetes and cardiovascular disease) [9,[26][27][28][29][30][31][32][33][34][35]. Moreover, psychosocial and neurocognitive decline is common in long-term surviving patients [36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

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Establishment and characterisation of STAM4, a novel human adamantinomatous craniopharyngioma cell line, through human telomerase reverse transcriptase ectopic expression‐mediated immortalisation

Wang,

Zhang,

Guo

et al. 2024

Neuropathology Appl Neurobio

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AimsAdamantinomatous craniopharyngioma (ACP) is a rare benign intracranial tumour that occurs in the sellar region and likely originates from the embryonic craniopharyngeal epithelium (a remnant of the ectoderm, also known as Rathke's pouch). However, progress in ACP research has been slow due to the lack of ACP cell lines. Therefore, in this study, we established an immortalised ACP cell line.MethodsImmortalised ACP cells were established from cultured primary ACP cells by the ectopic expression of human telomerase reverse transcriptase (hTERT). Primary and immortalised cells were compared and characterised by morphological examination, short tandem repeat (STR) profiling, whole exome sequencing (WES) and transcriptome sequencing. The ability of immortalised cells to form tumours was examined using an intracranial tumour formation assay in mice. Immunofluorescence staining was performed to compare the characteristics of human ACP and intracranial xenografts derived from immortalised cells.ResultsA novel immortalised ACP cell line, STAM4, was successfully established in a 4‐year‐old male ACP patient. When STAM4 cells were compared with primary ACP cells in terms of morphological characteristics, genetic variants, STR profiles, biological behaviours and transcriptome differences, STAM4 cells were similar to primary ACP cells. Additionally, the STAM4 cells were able to form intracranial tumours that resemble human ACP.ConclusionsThis ACP cell line may provide a cell model for further studies on the molecular mechanisms underlying the occurrence and progression of ACP and for the development of new anticancer drugs for ACP.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Establishment and characterisation of STAM4, a novel human adamantinomatous craniopharyngioma cell line, through human telomerase reverse transcriptase ectopic expression‐mediated immortalisation

Wang,

Zhang,

Guo

et al. 2024

Neuropathology Appl Neurobio

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“…Regarding craniopharyngioma, Liu et al. reported that the incidence of delayed hyponatremia after surgery was as high as 44.8% ( 20 ). The main causes of postoperative hyponatremia are SIADH and cerebral salt-wasting syndrome ( 21 ).…”

Section: Discussionmentioning

confidence: 99%

“…In this study, delayed hyponatremia occurred on postoperative days 6-7, similar to the time window for SIADH after transsphenoidal surgery for pituitary adenoma. Regarding craniopharyngioma, Liu et al reported that the incidence of delayed hyponatremia after surgery was as high as 44.8% (20). The main causes of postoperative hyponatremia are SIADH and cerebral salt-wasting syndrome (21).…”

Section: Discussionmentioning

confidence: 99%

Predictive factors for delayed hyponatremia after transsphenoidal surgery in patients with Rathke’s cleft cysts

et al. 2022

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PurposeWe aimed to assess factors influencing the occurrence of delayed hyponatremia after transsphenoidal surgery in patients with Rathke’s cleft cysts (RCCs).MethodsWe retrospectively collected the clinical data of patients who underwent transsphenoidal surgery for RCCs from January 2014 to January 2022. Univariate and multivariate analyses were used to determine the factors influencing the occurrence of postoperative delayed hyponatremia.ResultsOf the 78 microscopic transsphenoidal surgery recipients with RCCs, 15 experienced postoperative delayed hyponatremia. There were 35 men and 43 women, and mean age was 43.75 ± 14.95 years. The clinical manifestations of RCCs were headache (62 cases, 79.5%), visual dysfunction (35 cases, 44.9%), endocrine dysfunction symptoms (12 cases, 15.4%). After transsphenoidal surgery, 93.5% (58/62) had improvements in headache, and 97.1% (34/35) had improved or resolved compressive visual symptoms. Delayed hyponatremia occurred on average on day 6.46 and lasted on average for 4.40 days. Logistic regression analysis showed that the independent influencing factor of delayed hyponatremia after transsphenoidal surgery in patients with RCCs was postoperative diaphragma sellae height.ConclusionPostoperative diaphragma sellae height was identified as an independent influencing factor for delayed hyponatremia after transsphenoidal surgery in patients with RCCs.

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“…They found that EEA in the Q-CPs increased the rate of tumor resection and had a greater probability of visual improvement, while TCA was recommended in the T-CPs with a better prognosis for hypothalamic function (12)(13)(14). T-CPs were also reported with sodium disturbance (15). Therefore, an accurate diagnosis of the QST classification before surgery will be important for surgeons in selecting the surgical approach to maximize patients' quality of life after surgery.…”

Section: Introductionmentioning

confidence: 99%

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

Lin

et al. 2023

Front. Oncol.

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ObjectiveNeuronavigation and classification of craniopharyngiomas can guide surgical approaches and prognostic information. The QST classification has been developed according to the origin of craniopharyngiomas; however, accurate preoperative automatic segmentation and the QST classification remain challenging. This study aimed to establish a method to automatically segment multiple structures in MRIs, detect craniopharyngiomas, and design a deep learning model and a diagnostic scale for automatic QST preoperative classification.MethodsWe trained a deep learning network based on sagittal MRI to automatically segment six tissues, including tumors, pituitary gland, sphenoid sinus, brain, superior saddle cistern, and lateral ventricle. A deep learning model with multiple inputs was designed to perform preoperative QST classification. A scale was constructed by screening the images.ResultsThe results were calculated based on the fivefold cross-validation method. A total of 133 patients with craniopharyngioma were included, of whom 29 (21.8%) were diagnosed with type Q, 22 (16.5%) with type S and 82 (61.7%) with type T. The automatic segmentation model achieved a tumor segmentation Dice coefficient of 0.951 and a mean tissue segmentation Dice coefficient of 0.8668 for all classes. The automatic classification model and clinical scale achieved accuracies of 0.9098 and 0.8647, respectively, in predicting the QST classification.ConclusionsThe automatic segmentation model can perform accurate multi-structure segmentation based on MRI, which is conducive to clearing tumor location and initiating intraoperative neuronavigation. The proposed automatic classification model and clinical scale based on automatic segmentation results achieve high accuracy in the QST classification, which is conducive to developing surgical plans and predicting patient prognosis.

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Incidence and Possible Predictors of Sodium Disturbance After Craniopharyngioma Resection Based on QST Classification

Cited by 7 publications

References 29 publications

Establishment and characterisation of STAM4, a novel human adamantinomatous craniopharyngioma cell line, through human telomerase reverse transcriptase ectopic expression‐mediated immortalisation

Establishment and characterisation of STAM4, a novel human adamantinomatous craniopharyngioma cell line, through human telomerase reverse transcriptase ectopic expression‐mediated immortalisation

Predictive factors for delayed hyponatremia after transsphenoidal surgery in patients with Rathke’s cleft cysts

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

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