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Abstract：
UNASSIGNED: Brain tumors are common, requiring physicians to have a precise understanding of them for accurate diagnosis and treatment. Considering that various histological tumor types present different cellularity, we conducted this research to examine the role of apparent diffusion coefficient (ADC) values in the differential diagnosis and pathologic grading of brain tumor types.
UNASSIGNED: In this cross-sectional study, we gathered pathology reports of histological samples of adult brain tumors. The tissue sample of brain tumors were examined histologically by a pathologist. The magnetic resonance imaging data of these patients were interpreted by a neuroradiologist. The measured ADC values and ADC ratios were calculated. Standard mean ADC values were expressed as 10- 6 mm2/s. The findings were compared according to the histological diagnosis of each tumor.
UNASSIGNED: Sixty-eight patients were included in the study: 34 (50%) were male, and 34 (50%) were female. The average age of the patients was 51.69 + 16.40 years. In the examination of tumor type, 16 (23.5%) were astrocytoma, 9 (13.2%) were oligodendroglioma, 20 (29.4%) were glioblastoma, 4 (5.9%) were medulloblastoma, and 19 (27.9%) were metastatic tumors. the average value of ADC was statistically significantly different according to the pathological type of tumor (p < 0.001). The two-by-two comparison of average ADC among tumor types revealed significant differences, except for oligodendroglioma and glioblastoma (p-value = 0.87) and glioblastoma and medulloblastoma (p-value = 0.347). The average value of ADC and ADC ratio was statistically significantly different according to the pathological grade of the tumor (p < 0.001). In the two-by-two comparison of average ADC between all pathological grades of the tumor showed a significance difference except for Grade I and Grade II (p-value = 0.355). The mean value of ADC and ADC ratio for glioblastoma and metastatic tumors showed no significant difference.
UNASSIGNED: The assessment of brain tumor grade through ADC examination will help to estimate prognosis and devising suitable therapeutic strategies.
UNASSIGNED: In this cross-sectional study, we gathered pathology reports of histological samples of adult brain tumors. The tissue sample of brain tumors were examined histologically by a pathologist. The magnetic resonance imaging data of these patients were interpreted by a neuroradiologist. The measured ADC values and ADC ratios were calculated. Standard mean ADC values were expressed as 10- 6 mm2/s. The findings were compared according to the histological diagnosis of each tumor.
UNASSIGNED: Sixty-eight patients were included in the study: 34 (50%) were male, and 34 (50%) were female. The average age of the patients was 51.69 + 16.40 years. In the examination of tumor type, 16 (23.5%) were astrocytoma, 9 (13.2%) were oligodendroglioma, 20 (29.4%) were glioblastoma, 4 (5.9%) were medulloblastoma, and 19 (27.9%) were metastatic tumors. the average value of ADC was statistically significantly different according to the pathological type of tumor (p < 0.001). The two-by-two comparison of average ADC among tumor types revealed significant differences, except for oligodendroglioma and glioblastoma (p-value = 0.87) and glioblastoma and medulloblastoma (p-value = 0.347). The average value of ADC and ADC ratio was statistically significantly different according to the pathological grade of the tumor (p < 0.001). In the two-by-two comparison of average ADC between all pathological grades of the tumor showed a significance difference except for Grade I and Grade II (p-value = 0.355). The mean value of ADC and ADC ratio for glioblastoma and metastatic tumors showed no significant difference.
UNASSIGNED: The assessment of brain tumor grade through ADC examination will help to estimate prognosis and devising suitable therapeutic strategies.
摘要：
■脑肿瘤很常见，要求医生对它们有准确的理解，以便进行准确的诊断和治疗。考虑到各种组织学肿瘤类型呈现不同的细胞结构，本研究旨在探讨表观扩散系数(ADC)值在脑肿瘤类型的鉴别诊断和病理分级中的作用.
■在这项横断面研究中，我们收集了成人脑肿瘤的组织学样本的病理报告。病理学家对脑肿瘤的组织样本进行了组织学检查。这些患者的磁共振成像数据由神经放射学家解释。计算测得的ADC值和ADC比率。标准平均ADC值表示为10-6mm2/s。根据每个肿瘤的组织学诊断进行比较。
■68名患者被纳入研究：34名（50%）为男性，34（50％）为女性。患者平均年龄为51.69±16.40岁。在肿瘤类型的检查中，16例（23.5%）为星形细胞瘤，9例（13.2%）为少突胶质细胞瘤，20（29.4%）是胶质母细胞瘤，4例（5.9%）为髓母细胞瘤，转移性肿瘤19例（27.9%）。ADC值的平均值根据肿瘤的病理类型差异有统计学意义(p<0.001)。肿瘤类型之间的平均ADC的两两比较显示了显着差异，除了少突胶质细胞瘤和胶质母细胞瘤（p值=0.87）和胶质母细胞瘤和髓母细胞瘤（p值=0.347）。根据肿瘤的病理分级，ADC值和ADC比值的平均值有统计学差异（p<0.001）。在肿瘤的所有病理等级之间的平均ADC的两两比较中，除I级和II级（p值=0.355）外，显示出显着性差异。胶质母细胞瘤和转移性肿瘤的ADC平均值和ADC比值无明显差异。
■通过ADC检查评估脑肿瘤分级将有助于评估预后和制定合适的治疗策略。
■在这项横断面研究中，我们收集了成人脑肿瘤的组织学样本的病理报告。病理学家对脑肿瘤的组织样本进行了组织学检查。这些患者的磁共振成像数据由神经放射学家解释。计算测得的ADC值和ADC比率。标准平均ADC值表示为10-6mm2/s。根据每个肿瘤的组织学诊断进行比较。
■68名患者被纳入研究：34名（50%）为男性，34（50％）为女性。患者平均年龄为51.69±16.40岁。在肿瘤类型的检查中，16例（23.5%）为星形细胞瘤，9例（13.2%）为少突胶质细胞瘤，20（29.4%）是胶质母细胞瘤，4例（5.9%）为髓母细胞瘤，转移性肿瘤19例（27.9%）。ADC值的平均值根据肿瘤的病理类型差异有统计学意义(p<0.001)。肿瘤类型之间的平均ADC的两两比较显示了显着差异，除了少突胶质细胞瘤和胶质母细胞瘤（p值=0.87）和胶质母细胞瘤和髓母细胞瘤（p值=0.347）。根据肿瘤的病理分级，ADC值和ADC比值的平均值有统计学差异（p<0.001）。在肿瘤的所有病理等级之间的平均ADC的两两比较中，除I级和II级（p值=0.355）外，显示出显着性差异。胶质母细胞瘤和转移性肿瘤的ADC平均值和ADC比值无明显差异。
■通过ADC检查评估脑肿瘤分级将有助于评估预后和制定合适的治疗策略。
