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1.
Chinese Journal of Ultrasonography ; (12): 515-522, 2023.
Article in Chinese | WPRIM | ID: wpr-992856

ABSTRACT

Objective:To explore the feasibility of deep learning-based restoration of obscured thyroid ultrasound images.Methods:A total of 358 images of thyroid nodules were retropectively collected from January 2020 to October 2021 at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, and the images were randomly masked and restored using DeepFillv2. The difference in grey values between the images before and after restoration was compared, and 6 sonographers (2 chief physicians, 2 attending physicians, 2 residents) were invited to compare the rate of correctness of judgement and detection of image discrepancies. The ultrasound features of thyroid nodules (solid composition, microcalcifications, markedly hypoechoic, ill-defined or irregular margins, or extrathyroidal extensions, vertical orientation and comet-tail artifact) were extracted according to the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS). The consistency of ultrasound features of thyroid nodules before and after restoration were compared.Results:The mean squared error of the images before and after restoration ranged from 0.274 to 0.522, and there were significant differences in the rate of correctness of judgement and detection of image discrepancies between physicians of different groups(all P<0.001). The overall accuracy rate was 51.95%, the overall detection rate was 1.79%, there were significant differences also within the chief physicians and resident groups (all P<0.001). The agreement rate of all ultrasound features of the nodules before and after image restoration was higher than 70%, over 90% agreement rate for features such as solid composition and comet-tail artifact. Conclusions:The algorithm can effectively repair obscured thyroid ultrasound images while preserving image features, which is expected to expand the deep learning image database, and promote the development of deep learning in the field of ultrasound images.

2.
Chinese Journal of Ultrasonography ; (12): 1050-1055, 2019.
Article in Chinese | WPRIM | ID: wpr-824456

ABSTRACT

Objective To evaluate the correlation between ultrasound features of papillary thyroid carcinoma(PTC)and lymph node metastasis by preoperative ultrasound elemental observation of thyroid nodules.Methods Three hundred and seventy-six patients who underwent primary thyroid surgery and confirmed by ultrasound and pathological data as single-focal PTC from Jannary to December 2017 in Sir Run Run Shaw Hospital of Zhejiang Univbersity College of Medicine were retrospectively analyzed. According to the presence or absence of lymph node metastasis,they were divided into central and lateral lymph node metastasis group and non-metastasis group.Independent risk factors for central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM) were analyzed byχ2 test and multivariate Logistic regression.Results Multivariate analysis showed that the posterior margin of the cancer was <0.25 cm from the posterior wall of the thyroid gland as an independent risk factor for CLNM(P=0.025). Compared with the tumor volume ≤0.38 cm3 ,the cancer volume >0.38 cm3(P=0.000),was more prone to CLNM.And multivariate analysis showed that the anterior margin of the cancer was <0.17 cm(P =0.006)from the anterior thyroid capsule and the inner wall of the foci was <0.26 cm (P =0.014) as independent risk factors for LLNM.Compared with the maximum diameter of the tumor lesion ≤1 cm,the maximum diameter >2 cm (P =0.001) group was more prone to LLNM.Compared with the tumor volume ≤0.38 cm3 ,the tumor volume >0.38 cm3(P =0.000)was more prone to LLNM.ConclusionsThe larger volume of single focal PTC carcinoma and the closer to the posterior thyroid capsule are independent risk factors for CLNM.The larger volume and diameter of single focal PTC,and the closer to the anterior and medial wall capsule are independent risk factors for LLNM.

3.
Chinese Journal of Ultrasonography ; (12): 1050-1055, 2019.
Article in Chinese | WPRIM | ID: wpr-800518

ABSTRACT

Objective@#To evaluate the correlation between ultrasound features of papillary thyroid carcinoma (PTC) and lymph node metastasis by preoperative ultrasound elemental observation of thyroid nodules.@*Methods@#Three hundred and seventy-six patients who underwent primary thyroid surgery and confirmed by ultrasound and pathological data as single-focal PTC from Jannary to December 2017 in Sir Run Run Shaw Hospital of Zhejiang Univbersity College of Medicine were retrospectively analyzed. According to the presence or absence of lymph node metastasis, they were divided into central and lateral lymph node metastasis group and non-metastasis group. Independent risk factors for central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM) were analyzed by χ2 test and multivariate Logistic regression.@*Results@#Multivariate analysis showed that the posterior margin of the cancer was <0.25 cm from the posterior wall of the thyroid gland as an independent risk factor for CLNM (P=0.025). Compared with the tumor volume ≤0.38 cm3, the cancer volume >0.38 cm3 (P=0.000), was more prone to CLNM. And multivariate analysis showed that the anterior margin of the cancer was <0.17 cm (P=0.006) from the anterior thyroid capsule and the inner wall of the foci was <0.26 cm (P=0.014) as independent risk factors for LLNM. Compared with the maximum diameter of the tumor lesion ≤1 cm, the maximum diameter >2 cm (P=0.001) group was more prone to LLNM. Compared with the tumor volume ≤0.38 cm3, the tumor volume >0.38 cm3 (P=0.000) was more prone to LLNM.@*Conclusions@#The larger volume of single focal PTC carcinoma and the closer to the posterior thyroid capsule are independent risk factors for CLNM. The larger volume and diameter of single focal PTC, and the closer to the anterior and medial wall capsule are independent risk factors for LLNM.

4.
Chinese Journal of Pathophysiology ; (12): 2168-2176, 2016.
Article in Chinese | WPRIM | ID: wpr-506584

ABSTRACT

AIM:To study the role of amifostine on the formation of benzo [a]pyrene (BaP)-induced abdomi-nal aortic aneurysm ( AAA) in C57BL/6J mice and the underlying mechanism .METHODS: RAW246.7 mononuclear macrophage in vitro were divided into control group , DMSO group, BaP group, low dose (1 μmol/L) amfostine treated group, middle dose (5 μmol/L) amfostine treated group and high dose (25μmol/L) amfostine treated group .The influ-ence of BaP on the expression of matrix metalloproteinase (MMP)-9, MMP-12, TNF-α, NF-κB in the RAW246.7 mono-nuclear macrophages in vitro was determined by Western blot .Male C57BL/6J mice (8 months old) were divided into con-trol group, model group (AngII+BaP group), low dose (50 mg/kg) amfostine treated group and high dose (100 mg/kg) amfostine treated group.After 6 weeks, the abdominal aorta were isolated .The aortic tissues were subjected to HE and Masson staining.The vascular wall structure , infiltration of macrophage , the expression of MMP-9, MMP-12, TNF-α, NF-κB were evaluated by Western blot and immunochemistry staining .RESULTS:Amifostine attenuated BaP-induced expres-sion of TNF-α, MMP-9, MMP-12, NF-κB in the RAW246.7 mononuclear macrophages (P<0.05).The results of animal experiments showed that the incidence of AAA in high dose amifostine treated group were significantly lower than that in low dose amifostine treated group and model group (P<0.05).Immunohistochemistry staining observation showed that amifos-tine inhibited the aortic macrophage infiltration more obviously in high amifostine treated group compared with model group and low dose amifostine treated group (P<0.05).Compared with model group and low dose amifostine treated group , the MMP-9, MMP-12, TNF-αand NF-κB expression of abdominal aorta in high amifostine treated group was reduced signifi -cantly ( P<0.05 ) .CONCLUSION: Amifostine inhibits BaP-induced activation of macrophages , and also prevents the formation of abdominal aortic aneurysm in C 57BL/6J mice induced by BaP by inhibition of the NF-κB pathway, macro-phage infiltration and the expression of TNF-αand MMPs.

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