Intelligent prediction system and method for cerebral hemorrhage hematoma enlargement risks
A technology for predicting systems and risks, applied in the field of medical imaging, which can solve problems such as subjectivity, terminology differences, and inaccurate results.
Active Publication Date: 2021-07-09
WEST CHINA HOSPITAL SICHUAN UNIV
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Problems solved by technology
[0003] At present, in clinical work, doctors mainly judge whether hematoma will expand in patients with spontaneous cerebral hemorrhage based on clinical history, imaging characteristics and experience, which is highly subjective and the results are not accurate, and different radiologists have different interpretations of cerebral hemorrhage images. Accuracy of assessment varies to varying degrees, and it is difficult to convey information completely and accurately to clinicians
At the same time, radiologists with different writing habits and seniority lack standardized and standard methods when writing reports, and there are also differences in report content and terms used
Method used
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Embodiment 1
[0054] 1. Establish clinical information knowledge base module:
[0055] The scope of use of this structured report is Spontaneous Intracerebral Hemorrhage. First determine whether the patient has a history of hypertension, for example, hypertension: □No □Yes (selected) (maximum systolic blood pressure [maximum systolic blood pressure 220 mm Hg]) □Unknown; the second step is to determine whether the patient has a history of affecting coagulation function, coagulation dysfunction: □ Alcoholism (selected) □Chronic liver disease □Hematological diseases □Anticoagulant drugs[] □Others[]; the third step is to determine the time from onset to CT scan: time from onset to current CT scan (IOFC): □less than 6 hours □6-24 hours (selected) □ More than 24 hours[]; finally determine whether there are other vascular risk factors: none .
[0056] 2. Anatomical model map module:
[0057] The computer displays the schematic diagram of each brain anatomical structure section in the mode...
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The invention relates to an intelligent prediction system and method for cerebral hemorrhage hematoma enlargement risks. The system mainly comprises a clinical information knowledge base module, an anatomical mode graph module, an image feature standardization description module, a neural network unit and a report generation module. Preferably, the system also comprises an image comparison interpretation module. According to the system and method of the invention, a visual lesion dissection mode graph is designed, so that dissection and lesion contrast are facilitated. A sign observed by a radiologist is presented by a simple, standard and easy-to-master operation process. Lesions are described accurately and normatively. A lesion description result is compared with a preset data module, a hematoma early stage expansion grade is output while the description result is output, and a basis is provided for clinical treatment and intervention decision making.
Description
technical field [0001] The present application relates to the field of medical imaging, in particular to an intelligent interpretation method for predicting the risk of hematoma expansion based on CT (computerized tomography) images of patients with spontaneous cerebral hemorrhage. Background technique [0002] Spontaneous cerebral hemorrhage (intracerebral hemorrhage) is a common and serious neurological disease, which refers to non-traumatic intracerebral blood vessel rupture, causing blood to accumulate in the brain parenchyma and form a hematoma; The incidence of stroke is second only to ischemic cerebral infarction, but the disability rate and mortality rate are the highest among all types of stroke, and the mortality rate is as high as 35% to 52% one month after the onset. The common clinical manifestations of cerebral hemorrhage are headache, nausea, vomiting, disturbance of consciousness, and limb paralysis. Early hematoma expansion indicates poor prognosis, which i...
Claims
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IPC IPC(8): G16H50/20G16H50/70G16H15/00G16H50/30A61B6/03G06N3/08
CPCG16H50/20G16H50/70G16H15/00G16H50/30A61B6/52A61B6/032G06N3/08
Inventor 姚骊曾嘉欣张文静李思燚陈丽舟
Owner WEST CHINA HOSPITAL SICHUAN UNIV