AIM: To investigate computed tomography (CT) features of exophthalmos in Chinese subjects with thyroid-associated ophthalmopathy (TAO). METHODS: A total of 605 eyes of 325 patients with exophthalmos due to TAO were cl...AIM: To investigate computed tomography (CT) features of exophthalmos in Chinese subjects with thyroid-associated ophthalmopathy (TAO). METHODS: A total of 605 eyes of 325 patients with exophthalmos due to TAO were classified as grade Ⅰ (mild exophthalmos) or Ⅱ (severe exophthalmos) based on orbital CT imaging. The increased orbital volume features, such as changes from extraocular muscles, orbital fat, or both, were analyzed. RESULTS: A total of 605 eyes were analyzed, among them 62.98% presented grade Ⅰ exophthalmos, while 36.02% showed grade Ⅱ exophthalmos. In grade Ⅰ, 56.69% showed orbital fat change, and in grade Ⅱ, 89.29% exhibited extraocular muscle enlargement. CONCLUSION: Orbital fat and extraocular muscle enlargement are likely to be observed on CTs of subjects with mild and severe exophthalmos, respectively. Our results suggest that CT findings may guide TAO clinical therapy recommendations and prognosis.展开更多
<span style="font-family:Verdana;">Rationale and Objectives: Accurately establishing the diagnosis and staging of cervical and thyroid cancers is essential in medical practice in determining tumor exte...<span style="font-family:Verdana;">Rationale and Objectives: Accurately establishing the diagnosis and staging of cervical and thyroid cancers is essential in medical practice in determining tumor extension and dissemination and involves the most accurate and effective therapeutic approach. For accurate diagnosis and staging of cervical and thyroid cancers, we aim to create a diagnostic method, optimized by the algorithms of artificial intelligence and validated by achieving accurate and favorable results by conducting a clinical trial, during which we will use the diagnostic method optimized by artificial intelligence (AI) algorithms, to avoid errors, to increase the understanding on interpretation computer tomography (CT) scan, magnetic resonance imaging (MRI) of the doctor and improve therapeutic planning. Materials and Methods: The optimization of the computer assisted diagnosis (CAD) method will consist in the development and formation of artificial intelligence models, using algorithms and tools used in segmental volumetric constructions to generate 3D images from MRI/CT. We propose a comparative study of current developments in “DICOM” image processing by volume rendering technique, the use of the transfer function for opacity and color, shades of gray from “DICOM” images projected in a three-dimensional space. We also use artificial intelligence (AI), through the technique of Generative Adversarial Networks (GAN), which has proven to be effective in representing complex data distributions, as we do in this study. Validation of the diagnostic method, optimized by algorithm of artificial intelligence will consist of achieving accurate results on diagnosis and staging of cervical and thyroid cancers by conducting a randomized, controlled clinical trial, for a period of 17 months. Results: We will validate the CAD method through a clinical study and, secondly, we use various network topologies specified above, which have produced promising results in the tasks of image model recognition and by using this mixture. By using this method in medical practice, we aim to avoid errors, provide precision in diagnosing, staging and establishing the therapeutic plan in cancers of the cervix and thyroid using AI. Conclusion: The use of the CAD method can increase the quality of life by avoiding intra and postoperative complications in surgery, intraoperative orientation and the precise determination of radiation doses and irradiation zone in radiotherapy.</span>展开更多
目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较...目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较两组年龄、性别、结节长径、能谱CT参数等资料。通过单因素及多因素分析筛选出能谱CT的独立预测因素,引入超声C-TIRADS分级构建列线图模型。采用Bootstrap法迭代1000次,内部验证模型的稳定性。采用独立样本t检验、Mann-Whitney U检验、χ^(2)检验进行统计分析。结果良性组和恶性组能谱参数[包括动脉期及静脉期碘浓度(iodine concentration,IC)、标准化碘浓度(normal iodine concentration,NIC)、能谱曲线斜率(slope of the energy spectrum curve,λHU)]以及结节长径比较,差异均有统计学意义(均P<0.05)。多因素分析表明,动脉期IC及静脉期NIC是鉴别甲状腺结节良恶性的独立预测因素(均P<0.05)。基于上述变量构建预测模型,该模型曲线下面积(AUC)为0.940。利用超声C-TIRADS分级诊断甲状腺结节良恶性,其AUC为0.823。超声C-TIRADS分级联合能谱CT参数构建列线图,其AUC为0.982。校准曲线显示,列线图校准度表现优秀,Brier评分为0.051。决定曲线分析显示,在广泛阈值概率范围内,列线图均表现出较好的临床净收益。应用Bootstrap法进行1000次迭代,计算平均AUC来对列线图模型进行内部验证,平均AUC为0.961。结论能谱CT预测模型AUC高于超声C-TIRADS分级。联合模型可以提高能谱CT及超声C-TIRADS分级鉴别甲状腺结节良恶性的效能。展开更多
<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU<...<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU</sub>, in distinguishing malignant and benign thyroid nodules. <strong>Methods:</strong> Relevant studies were searched from Web of Science, PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure database and other complementary sources from inception to May 20, 2020. Study selection, data extraction, quality assessment, and data analyses were performed following the Cochrane standards and the PRISMA-DTA guideline. <strong>Results: </strong>Eight studies were included (595 patients with 737 thyroid nodules). The pooled sensitivity, specificity and summary diagnostic odds ratio of IC were 79% (95% CI: 69% - 86%), 76% (95% CI: 65% - 84%) and 11 (95% CI: 5 - 27) respectively;those of NIC were 78% (95% CI: 70% - 85%), 80% (95% CI: 74% - 85%) and 15 (95% CI: 9 - 24) respectively;those of λ<sub>HU</sub> were 80% (95% CI: 71% - 87%), 77% (95% CI: 70% - 83%) and 14 (95% CI: 8 - 24) respectively. <strong>Conclusion: </strong>DECT can be a potential evaluation tool for thyroid nodules. The NIC may be the most sensitive iodine parameter and could be comparable between different DECT machines in thyroid nodule assessment.展开更多
Here we report the case of a 60-year-old patient previously affected by prostate cancer treated with prostatectomy. After surgery, the patient was scheduled for routine follow up examinations including biochemical and...Here we report the case of a 60-year-old patient previously affected by prostate cancer treated with prostatectomy. After surgery, the patient was scheduled for routine follow up examinations including biochemical and imaging evaluations. PSA testing evidenced a light, continuous increase in the course of the last four sampling. This finding calls for a biochemical recurrence. Thus the patient underwent a 18F-Fluorocholine (FCH) PET/CT to detect the possible sites of the relapse. FCH PET/CT did not disclose any focal uptake suggesting a metastatic spread. However, one focal uptake was noticed in the lower pole of the right thyroid lobe, corresponding to a hypodense nodule. Therefore, the patient was studied with 99 mTc thyroid scan and neck ultrasound. Both examinations had findings suspicious of a neoplasm. The fine needle aspiration biopsy (FNAB) that was carried out to rule out a malignancy, gave a TIR2 result. FCH PET/CT may give thyroidal uptakes in benign lesions.展开更多
基金Sichuan Science and Technology Department the Tackling Key Project Fund, China (No.05SG022-014-1)
文摘AIM: To investigate computed tomography (CT) features of exophthalmos in Chinese subjects with thyroid-associated ophthalmopathy (TAO). METHODS: A total of 605 eyes of 325 patients with exophthalmos due to TAO were classified as grade Ⅰ (mild exophthalmos) or Ⅱ (severe exophthalmos) based on orbital CT imaging. The increased orbital volume features, such as changes from extraocular muscles, orbital fat, or both, were analyzed. RESULTS: A total of 605 eyes were analyzed, among them 62.98% presented grade Ⅰ exophthalmos, while 36.02% showed grade Ⅱ exophthalmos. In grade Ⅰ, 56.69% showed orbital fat change, and in grade Ⅱ, 89.29% exhibited extraocular muscle enlargement. CONCLUSION: Orbital fat and extraocular muscle enlargement are likely to be observed on CTs of subjects with mild and severe exophthalmos, respectively. Our results suggest that CT findings may guide TAO clinical therapy recommendations and prognosis.
文摘<span style="font-family:Verdana;">Rationale and Objectives: Accurately establishing the diagnosis and staging of cervical and thyroid cancers is essential in medical practice in determining tumor extension and dissemination and involves the most accurate and effective therapeutic approach. For accurate diagnosis and staging of cervical and thyroid cancers, we aim to create a diagnostic method, optimized by the algorithms of artificial intelligence and validated by achieving accurate and favorable results by conducting a clinical trial, during which we will use the diagnostic method optimized by artificial intelligence (AI) algorithms, to avoid errors, to increase the understanding on interpretation computer tomography (CT) scan, magnetic resonance imaging (MRI) of the doctor and improve therapeutic planning. Materials and Methods: The optimization of the computer assisted diagnosis (CAD) method will consist in the development and formation of artificial intelligence models, using algorithms and tools used in segmental volumetric constructions to generate 3D images from MRI/CT. We propose a comparative study of current developments in “DICOM” image processing by volume rendering technique, the use of the transfer function for opacity and color, shades of gray from “DICOM” images projected in a three-dimensional space. We also use artificial intelligence (AI), through the technique of Generative Adversarial Networks (GAN), which has proven to be effective in representing complex data distributions, as we do in this study. Validation of the diagnostic method, optimized by algorithm of artificial intelligence will consist of achieving accurate results on diagnosis and staging of cervical and thyroid cancers by conducting a randomized, controlled clinical trial, for a period of 17 months. Results: We will validate the CAD method through a clinical study and, secondly, we use various network topologies specified above, which have produced promising results in the tasks of image model recognition and by using this mixture. By using this method in medical practice, we aim to avoid errors, provide precision in diagnosing, staging and establishing the therapeutic plan in cancers of the cervix and thyroid using AI. Conclusion: The use of the CAD method can increase the quality of life by avoiding intra and postoperative complications in surgery, intraoperative orientation and the precise determination of radiation doses and irradiation zone in radiotherapy.</span>
文摘目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较两组年龄、性别、结节长径、能谱CT参数等资料。通过单因素及多因素分析筛选出能谱CT的独立预测因素,引入超声C-TIRADS分级构建列线图模型。采用Bootstrap法迭代1000次,内部验证模型的稳定性。采用独立样本t检验、Mann-Whitney U检验、χ^(2)检验进行统计分析。结果良性组和恶性组能谱参数[包括动脉期及静脉期碘浓度(iodine concentration,IC)、标准化碘浓度(normal iodine concentration,NIC)、能谱曲线斜率(slope of the energy spectrum curve,λHU)]以及结节长径比较,差异均有统计学意义(均P<0.05)。多因素分析表明,动脉期IC及静脉期NIC是鉴别甲状腺结节良恶性的独立预测因素(均P<0.05)。基于上述变量构建预测模型,该模型曲线下面积(AUC)为0.940。利用超声C-TIRADS分级诊断甲状腺结节良恶性,其AUC为0.823。超声C-TIRADS分级联合能谱CT参数构建列线图,其AUC为0.982。校准曲线显示,列线图校准度表现优秀,Brier评分为0.051。决定曲线分析显示,在广泛阈值概率范围内,列线图均表现出较好的临床净收益。应用Bootstrap法进行1000次迭代,计算平均AUC来对列线图模型进行内部验证,平均AUC为0.961。结论能谱CT预测模型AUC高于超声C-TIRADS分级。联合模型可以提高能谱CT及超声C-TIRADS分级鉴别甲状腺结节良恶性的效能。
文摘<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU</sub>, in distinguishing malignant and benign thyroid nodules. <strong>Methods:</strong> Relevant studies were searched from Web of Science, PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure database and other complementary sources from inception to May 20, 2020. Study selection, data extraction, quality assessment, and data analyses were performed following the Cochrane standards and the PRISMA-DTA guideline. <strong>Results: </strong>Eight studies were included (595 patients with 737 thyroid nodules). The pooled sensitivity, specificity and summary diagnostic odds ratio of IC were 79% (95% CI: 69% - 86%), 76% (95% CI: 65% - 84%) and 11 (95% CI: 5 - 27) respectively;those of NIC were 78% (95% CI: 70% - 85%), 80% (95% CI: 74% - 85%) and 15 (95% CI: 9 - 24) respectively;those of λ<sub>HU</sub> were 80% (95% CI: 71% - 87%), 77% (95% CI: 70% - 83%) and 14 (95% CI: 8 - 24) respectively. <strong>Conclusion: </strong>DECT can be a potential evaluation tool for thyroid nodules. The NIC may be the most sensitive iodine parameter and could be comparable between different DECT machines in thyroid nodule assessment.
文摘Here we report the case of a 60-year-old patient previously affected by prostate cancer treated with prostatectomy. After surgery, the patient was scheduled for routine follow up examinations including biochemical and imaging evaluations. PSA testing evidenced a light, continuous increase in the course of the last four sampling. This finding calls for a biochemical recurrence. Thus the patient underwent a 18F-Fluorocholine (FCH) PET/CT to detect the possible sites of the relapse. FCH PET/CT did not disclose any focal uptake suggesting a metastatic spread. However, one focal uptake was noticed in the lower pole of the right thyroid lobe, corresponding to a hypodense nodule. Therefore, the patient was studied with 99 mTc thyroid scan and neck ultrasound. Both examinations had findings suspicious of a neoplasm. The fine needle aspiration biopsy (FNAB) that was carried out to rule out a malignancy, gave a TIR2 result. FCH PET/CT may give thyroidal uptakes in benign lesions.
