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1.
Journal of International Oncology ; (12): 37-41, 2023.
Artigo em Chinês | WPRIM | ID: wpr-989517

RESUMO

MET exon14 (METex14) skipping mutation is an independent driver gene in non-small cell lung cancer (NSCLC) . About 3%-4% of NSCLC patients carry METex14 skipping mutation. These patients have poor prognoses and poor responses to traditional chemotherapy and immunotherapy. Highly selective MET inhibitors such as capmatinib, tepotinib, savolitinib have shown good efficacy and safety data in clinical trials, which bring new treatment options for patients with METex14 skipping mutations.

2.
Journal of Biomedical Engineering ; (6): 268-275, 2021.
Artigo em Chinês | WPRIM | ID: wpr-879274

RESUMO

In order to overcome the shortcomings of high false positive rate and poor generalization in the detection of microcalcification clusters regions, this paper proposes a method combining discriminative deep belief networks (DDBNs) to automatically and quickly locate the regions of microcalcification clusters in mammograms. Firstly, the breast region was extracted and enhanced, and the enhanced breast region was segmented to overlapped sub-blocks. Then the sub-block was subjected to wavelet filtering. After that, DDBNs model for breast sub-block feature extraction and classification was constructed, and the pre-trained DDBNs was converted to deep neural networks (DNN) using a softmax classifier, and the network is fine-tuned by back propagation. Finally, the undetected mammogram was inputted to complete the location of suspicious lesions. By experimentally verifying 105 mammograms with microcalcifications from the Digital Database for Screening Mammography (DDSM), the method obtained a true positive rate of 99.45% and a false positive rate of 1.89%, and it only took about 16 s to detect a 2 888 × 4 680 image. The experimental results showed that the algorithm of this paper effectively reduced the false positive rate while ensuring a high positive rate. The detection of calcification clusters was highly consistent with expert marks, which provides a new research idea for the automatic detection of microcalcification clusters area in mammograms.


Assuntos
Humanos , Algoritmos , Neoplasias da Mama/diagnóstico por imagem , Calcinose/diagnóstico por imagem , Detecção Precoce de Câncer , Mamografia , Redes Neurais de Computação
3.
Journal of Zhejiang Chinese Medical University ; (6): 1215-1217, 2013.
Artigo em Chinês | WPRIM | ID: wpr-440703

RESUMO

[Objective]To investigate the clinical effect of Chinese herbal medicine washout combined with lactic acid bacteria vaginal capsule on refractory vaginitis. [Method] Divide 500 patients into 3 types: downward flow of damp-heat, damp toxin implication, internal heat due of Yin deficiency, which treated with different decoctions with lactic acid bacteria vaginal capsule. Fol ow up for 3m after treatment course, observe recurrence; make vaginal secre-tion tests before and after treatment. [Result] In downward flow of damp heat type, 139 cases were cured, 11 effective, the total effective rate 100%; on damp toxin implication type, 183 cases were cured, 13 effective, total effective rate 100%;for internal heat due to Yin deficiency, 141 were cured, 9 effec-tive and total effective rate 100%. There’s no recurrence after 3m. [Conclusion] The said method can effectively regulate vaginal micro-ecological envi-ronment and reduce recurrence of refractory vaginitis, with safe clinical application and definite cure effect.

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