Special Topic on Theory and Technology of Forensic Clinical Appraisal WANG Xu
In the personal injury compensation system, the protection and relief of the injured people’s rights to life, rights to health, and body rights are generally based on the results of disability assessment. Over the years, with the increased number of personal injury compensation cases, the practice of disability assessment have been greatly developed, and the development of disability assessment standards tends to be mature. However, the lack of basic theories for disability assessment has seriously affected the construction and unification of standards. Starting from the tort legal system of personal injury compensation, this article systematically analyzes the legal theories of disability assessment, and holds that the loss of labor ability is the legal basis for disability assessment in China, and the essence of disability assessment should be understood as the quantitative assessment of an individual’s permanent loss of labor ability. This article combines the international disability assessment models and the primary concepts of American Medical Association’s Guides to the Evaluation of Permanent Impairment to refine the basic concepts of disability assessment in China, such as impairment, disability, handicap, disabled people and self-care ability, etc. At the same time, it sorts out the critical issues of identification time, promotion principles and compound calculation of multiple injuries in disability assessment. It is expected to be beneficial to the theory and practice of disability assessment in personal injury compensation.
Objective The artificial intelligence-aided diagnosis model of rib fractures based on YOLOv3 algorithm was established and applied to practical case to explore the application advantages in rib fracture cases in forensic medicine. Methods DICOM format CT images of 884 cases with rib fractures caused by thoracic trauma were collected, and 801 of them were used as training and validation sets. A rib fracture diagnosis model based on YOLOv3 algorithm and Darknet53 as the backbone network was built. After the model was established, 83 cases were taken as the test set, and the precision rate, recall rate, F1-score and radiology interpretation time were calculated. The model was used to diagnose a practical case and compared with manual diagnosis. Results The established model was used to test 83 cases, the fracture precision rate of this model was 90.5%, the recall rate was 75.4%, F1-score was 0.82, the radiology interpretation time was 4.4 images per second and the identification time of each patient’s data was 21 s, much faster than manual diagnosis. The recognition results of the model was consistent with that of the manual diagnosis. Conclusion The rib fracture diagnosis model in practical case based on YOLOv3 algorithm can quickly and accurately identify fractures, and the model is easy to operate. It can be used as an auxiliary diagnostic technique in forensic clinical identification.
Objective To investigate the characteristics and objective assessment method of visual field defects caused by optic chiasm and its posterior visual pathway injury. Methods Typical cases of visual field defects caused by injuries to the optic chiasm, optic tracts, optic radiations, and visual cortex were selected. Visual field examinations, visual evoked potential （VEP） and multifocal visual evolved potential （mfVEP） measurements, craniocerebral CT/MRI, and retinal optical coherence tomography （OCT） were performed, respectively, and the aforementioned visual electrophysiological and neuroimaging indicators were analyzed comprehensively. Results The electrophysiological manifestations of visual field defects caused by optic chiasm injuries were bitemporal hemianopsia mfVEP abnormalities. The visual field defects caused by optic tract, optic radiation, and visual cortex injuries were all manifested homonymous hemianopsia mfVEP abnormalities contralateral to the lesion. Mild relative afferent pupil disorder （RAPD） and characteristic optic nerve atrophy were observed in hemianopsia patients with optic tract injuries, but not in patients with optic radiation or visual cortex injuries. Neuroimaging could provide morphological evidence of damages to the optic chiasm and its posterior visual pathway. Conclusion Visual field defects caused by optic chiasm, optic tract, optic radiation, and visual cortex injuries have their respective characteristics. The combined application of mfVEP and static visual field measurements, in combination with neuroimaging, can maximize the assessment of the location and degree of visual pathway damage, providing an effective scheme for the identification of such injuries.
The qualitative, quantitative, and localization analysis of hearing loss is one of the important contents of forensic clinical research and identification. Pure-tone audiometry is the “gold standard” for hearing loss assessment, but it is affected by the subjective cooperation of the assessed person. Due to the complexity of the auditory pathway and the diversity of hearing loss, the assessment of hearing loss requires the combination of various subjective and objective audiometric techniques, along with comprehensive evaluation based on the case situation, clinical symptoms, and other examinations to ensure the scientificity, accuracy and reliability of forensic hearing impairment assessment. Objective audiometry includes acoustic impedance, otoacoustic emission, and various auditory evoked potentials. The frequency-specific auditory brainstem response （ABR）, 40 Hz auditory event related potential, and auditory steady-state response are commonly used for objective hearing threshold assessment. The combined application of acoustic impedance, otoacoustic emission and ABR can be used to locate hearing loss and determine whether it is located in the middle ear, cochlea, or posterior cochlea. This article reviews the application value of objective audiometry techniques in hearing threshold assessment and hearing loss localization, aiming to provide reference for forensic identification of hearing loss.
Special Topic on Theory and Technology of Forensic Clinical Appraisal
