Intracranial aneurysm is known as a “time bomb” in human body, and its rupture is an important cause of brain hemorrhage and death. A study conducted by experts from Huashan Hospital of Fudan University in Shanghai on 473 patients showed that the size of intracranial aneurysms is not the most accurate indicator of whether they are prone to rupture, but the greater the ratio between the length and width of intracranial aneurysms, the greater the risk of rupture. This research result has important reference value for the detection and prevention of cerebral hemorrhage. Subarachnoid hemorrhage is one of the most common causes of stroke (cerebral hemorrhage), and 80% of them are caused by ruptured intracranial aneurysms. After rupture, 12% of patients die before receiving treatment, 40% of hospitalized patients die within 1 month after hemorrhage, and 1/3 of patients are left with neurological deficits, which is a highly disabling and fatal disease. Early determination of what kind of tumor is prone to rupture is the key to early detection and prevention, which can greatly improve patients’ chances of survival and quality of life. Dr. Jianping Song and other researchers from the Department of Neurosurgery of Huashan Hospital conducted a retrospective analysis of 473 patients with intracranial cystic aneurysms admitted to the Department of Neurosurgery of Huashan Hospital from August 2001 to December 2007. The results found that there were 426 cases of aneurysm rupture, and the risk of aneurysm rupture increased with an increase in the ratio of aneurysm length to aneurysm neck width (AR value), and the AR value was not affected by the distribution site of the aneurysm. The AR value takes into account not only the size of the aneurysm but also the neck factor, and the AR value is independent of the site of aneurysm presence, which can be used as an independent indicator to assess intra-aneurysm hemodynamics to predict the risk of aneurysm rupture, and is more sensitive than using the aneurysm length alone to predict the risk of rupture. The researchers noted that collaborative multicenter studies are still needed to find critical risk values for AR values through analysis of larger sample sizes. The research results were jointly recommended by the Chinese Association for Science and Technology and the Chinese Society for Science and Technology Journalism and published in a recent issue of the Chinese Medical Journal.