RESUMO
Ultrasonography is the preferred modality for detailed evaluation of enlarged lymph nodes (LNs) identified on computed tomography and/or magnetic resonance imaging, owing to its high spatial resolution. However, the diagnostic performance of ultrasonography depends on the examiner's expertise. To support the ultrasonographic diagnosis, we developed YOLOv7-based deep learning models for metastatic LN detection on ultrasonography and compared their detection performance with that of highly experienced radiologists and less experienced residents. We enrolled 462 B- and D-mode ultrasound images of 261 metastatic and 279 non-metastatic histopathologically confirmed LNs from 126 patients with head and neck squamous cell carcinoma. The YOLOv7-based B- and D-mode models were optimized using B- and D-mode training and validation images and their detection performance for metastatic LNs was evaluated using B- and D-mode testing images, respectively. The D-mode model's performance was comparable to that of radiologists and superior to that of residents' reading of D-mode images, whereas the B-mode model's performance was higher than that of residents but lower than that of radiologists on B-mode images. Thus, YOLOv7-based B- and D-mode models can assist less experienced residents in ultrasonographic diagnoses. The D-mode model could raise the diagnostic performance of residents to the same level as experienced radiologists.
RESUMO
Specific neuron ablation with laser microbeam has been used in behavioral analysis of Caenorhabditis elegans. However, this method is hard to acquire many ablated worms, and is unable to compare behavioral changes just before and after ablation. Here, we developed an ablation method by using genetically encoded photosensitizer protein, KillerRed, which produces reactive oxygen species by green light irradiation. Ablation of AWA sensory neurons abolished the chemotaxis to AWA specific sensitive attractant, diacetyl, and no functional effect on the other sensory neuron, AWC, which senses benzaldehyde. This ablation method can be useful for analyzing neural in situ.