“…We put 8 parameters into the diagnosis formula, then found that diagnostic accuracy of the model was 76.1% and 88.2% in GBM and sBM, which suggested that this model could play a useful role in identifying GBM and sBM. It was reported that the accuracy of advanced neuroimaging techniques method for differentiating GBM, BM and PCNSL ranged from 80%-90% [17,33]. Our diagnosis model presents a comparable diagnostic accuracy with a lower cost.…”
Section: Discussionmentioning
confidence: 68%
“…Since GBM, BM and PCNSL tend to own similar clinical symptoms and radiological characteristics [2,16,17], it is a very di cult clinical problem for differential diagnosis among these three types tumor. Because of different treatment strategies of these three types, it is extremely important to nd out more information help for diagnosis.…”
BackgroundIn clinal practice, differentiating glioblastoma (GBM), brain metastases (BM) and primary central nervous system lymphoma (PCNSL) preoperatively is difficult and directly affects the therapy of patients. This study was to evaluate the diagnostic value of routine blood biomarkers in patients with GBM, BM and PCNSL, and find a preoperative differential diagnostic tool for the three brain tumors.MethodsThe perioperative medical records of 70 GBMs, 41 PCNSLs and 81 BMs and their preoperative blood test results were compared and analyzed. A diagnosis model was founded for differentiating GBM, BM and PCNSL.ResultsPatient age, plateletcrit (PCT), international normalized ratio (INR) and thrombin time (TT) were found independently associated with differentiating diagnosis of the three brain tumors analyzed by multinomial logistic regression. Compared with GBM patients, BM patients tend to be elder (OR=1.055, 95% CI 1.016-1.094, p=0.005) and have lower PCT level (OR=0.008, 95% CI 0.004-0.017, p=0.027). Besides, GBM patients own lower INR and higher TT when compared with PCNSL patients and BM patients. We build an efficient diagnostic model with these parameters and diagnosis accuracies of this model were 88.2% and 76.1% in BM and GBM, respectively. ConclusionsThe preoperative PCT, INR and TT may be used as inexpensive blood diagnostic biomarkers for differentiating patients with brain metastases from other intracranial malignant tumors.
“…We put 8 parameters into the diagnosis formula, then found that diagnostic accuracy of the model was 76.1% and 88.2% in GBM and sBM, which suggested that this model could play a useful role in identifying GBM and sBM. It was reported that the accuracy of advanced neuroimaging techniques method for differentiating GBM, BM and PCNSL ranged from 80%-90% [17,33]. Our diagnosis model presents a comparable diagnostic accuracy with a lower cost.…”
Section: Discussionmentioning
confidence: 68%
“…Since GBM, BM and PCNSL tend to own similar clinical symptoms and radiological characteristics [2,16,17], it is a very di cult clinical problem for differential diagnosis among these three types tumor. Because of different treatment strategies of these three types, it is extremely important to nd out more information help for diagnosis.…”
BackgroundIn clinal practice, differentiating glioblastoma (GBM), brain metastases (BM) and primary central nervous system lymphoma (PCNSL) preoperatively is difficult and directly affects the therapy of patients. This study was to evaluate the diagnostic value of routine blood biomarkers in patients with GBM, BM and PCNSL, and find a preoperative differential diagnostic tool for the three brain tumors.MethodsThe perioperative medical records of 70 GBMs, 41 PCNSLs and 81 BMs and their preoperative blood test results were compared and analyzed. A diagnosis model was founded for differentiating GBM, BM and PCNSL.ResultsPatient age, plateletcrit (PCT), international normalized ratio (INR) and thrombin time (TT) were found independently associated with differentiating diagnosis of the three brain tumors analyzed by multinomial logistic regression. Compared with GBM patients, BM patients tend to be elder (OR=1.055, 95% CI 1.016-1.094, p=0.005) and have lower PCT level (OR=0.008, 95% CI 0.004-0.017, p=0.027). Besides, GBM patients own lower INR and higher TT when compared with PCNSL patients and BM patients. We build an efficient diagnostic model with these parameters and diagnosis accuracies of this model were 88.2% and 76.1% in BM and GBM, respectively. ConclusionsThe preoperative PCT, INR and TT may be used as inexpensive blood diagnostic biomarkers for differentiating patients with brain metastases from other intracranial malignant tumors.
“…PCT has been reported to be useful in grading gliomas [2,19], differentiating tumor prognosis from treatment-induced effects [7], and differentiating glioblastomas, lymphomas, and metastatic tumors [15].…”
Section: Discussionmentioning
confidence: 99%
“…Perfusion imaging by computed tomography (PCT) re ects blood ow and capillary condition, making it valuable in the assessment of brain tumors. PCT has been reported to be useful in differentiating malignant brain tumors, grading gliomas, and predicting prognosis after treatment [2,15,19]. Re ecting their neovascularization and increased angiogenic activity, high-grade gliomas have greater cerebral blood volume (CBV) and cerebral blood ow (CBF) compared with low-grade gliomas [2,19].…”
AbstractBackground: Complete removal of large and giant pituitary adenomas (PAs) with suprasellar extension by transsphenoidal surgery (TSS) is sometimes difficult. Swelling and bleeding of a residual suprasellar tumor after incomplete removal via TSS can compress the surrounding neurovascular structures, resulting in postoperative complications. We measured PA blood flow by perfusion computed tomography (PCT) and assessed its usefulness in the preoperative prediction of postoperative hemorrhagic complications after TSS.Method: We performed PCT in 28 patients with PAs with suprasellar extension before TSS. Perfusion studies were performed with a 320-row multidetector computed tomography system. We measured cerebral blood volume (CBV) and cerebral blood flow (CBF) of the tumor (CBVt and CBFt) and normal-appearing white matter (CBVw and CBFw).Results: In all patients, CBVt was greater than CBVw. There was a statistically significant difference between CBFt and CBFw (p < 0.0001). The patients were divided into 2 groups according to CBFt: high CBF (CBFt> mean value) and low CBF (CBFt< mean value). There were no statistically significant differences between the 2 groups in terms of gender, age, maximum tumor diameter, suprasellar extension grade, and extent of resection. Two of the 7 patients in the high CBF group suffered from visual acuity deterioration and visual field stenosis due to postoperative hemorrhage, while no patients in the low CBF group did (p = 0.014).Conclusions: PCT may be useful in the preoperative prediction of postoperative residual tumor hemorrhage, which can be a hazardous postoperative complication after TSS for large and giant PAs.
“…Perfusion imaging by computed tomography (PCT) re ects blood ow and capillary condition, making it valuable in the assessment of brain tumors. PCT has been reported to be useful in grading gliomas [2,19], differentiating tumor prognosis from treatment-induced effects [7], and differentiating glioblastomas, lymphomas, and metastatic tumors [15]. We measured the cerebral blood volume (CBV) and cerebral blood ow (CBF) of PAs to assess tumor vascularization and evaluated the association of elevated CBV and CBF with the incidence of postoperative hemorrhage after TSS for PAs.…”
Background: Complete removal of large and giant pituitary adenomas (PAs) with suprasellar extension by transsphenoidal surgery (TSS) is sometimes difficult. Swelling and bleeding of a residual suprasellar tumor after incomplete removal via TSS can compress the surrounding neurovascular structures, resulting in postoperative complications. We measured PA blood flow by perfusion computed tomography (PCT) and assessed its usefulness in the preoperative prediction of postoperative hemorrhagic complications after TSS.Method: We performed PCT in 28 patients with PAs with suprasellar extension before TSS. Perfusion studies were performed with a 320-row multidetector computed tomography system. We measured cerebral blood volume (CBV) and cerebral blood flow (CBF) of the tumor (CBVt and CBFt) and normal-appearing white matter (CBVw and CBFw).Results: In all patients, CBVt was greater than CBVw. There was a statistically significant difference between CBFt and CBFw (p < 0.0001). The patients were divided into 2 groups according to CBFt: high CBF (CBFt > mean value) and low CBF (CBFt < mean value). There were no statistically significant differences between the 2 groups in terms of gender, age, maximum tumor diameter, suprasellar extension grade, and extent of resection. Two of the 7 patients in the high CBF group suffered from visual acuity deterioration and visual field stenosis due to postoperative hemorrhage, while no patients in the low CBF group did (p = 0.014).Conclusions: PCT may be useful in the preoperative prediction of postoperative residual tumor hemorrhage, which can be a hazardous postoperative complication after TSS for large and giant PAs.
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