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291.
Reliable sonographic features for nodal thyroglobulin to diagnose recurrent lymph node metastasis from papillary thyroid carcinoma 下载免费PDF全文
H.‐J. Jiang C.‐W. Wu F.‐Y. Chiang H.‐Y.C. Chiou I.‐J. Chen P.‐J. Hsiao 《Clinical otolaryngology》2018,43(4):1065-1072
Objectives
Ultrasound‐guided aspiration cytology (US‐FNAC) was previously used to diagnose lymph node metastasis of papillary thyroid carcinoma (PTC). Combined US‐FNAC with nodal thyroglobulin (LN‐FNA‐Tg) significantly improved the diagnostic rate. However, diagnostic accuracy depends on proper node selection. Therefore, it is crucial to choose the nodes with reliable sonographic features to guide clinician for confirmation.Design and Setting
Retrospective cohort study was carried out in one medical centre from 2011 to 2014.Participants
A total of 148 patients with PTC, being treated by total thyroidectomy and radioiodine, were assessed for potential nodal metastases by ultrasound.Main outcome measures
Lymph nodes with cystic content, peripheral hypervascularity, calcification, hyperechoic content, the absence of hilum and Solbiati index < 2 indicated risk of malignancy. US‐FNAC and LN‐FNA‐Tg were both performed. Positive nodal metastasis was further confirmed by dissection. Risk impact of these sonographic features on LN‐FNA‐Tg to diagnose nodal metastasis was tested by logistic regression analysis based on the significance in both univariate and multivariate models.Results
Overall, 49 lymph nodes were documented as recurrent nodal metastasis. LN‐FNA‐Tg greater than serum thyroglobulin and higher than 1 ng/mL achieved 100% of diagnostic rate for recurrent nodal metastasis. The malignant sonographic features that significantly cohered with positive LN‐FNA‐Tg were cystic and hyperechoic content and lack hilum, in sequence.Conclusions
LN‐FNA‐Tg is an excellent tool to quantitatively diagnose nodal metastasis. To achieve ideal diagnosis, the most reliable sonographic features were cystic content, hyperechoic content and the absence of hilum in lymph nodes, but not calcification or Solbiati index < 2. 相似文献292.
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目的 :研究甲基强的松龙对Ⅳ型狼疮性肾炎 (LN)患者血浆中 1型纤溶酶原激活物抑制物 (PAI 1)的影响。方法 :应用免疫组织化学ELISA方法检测患者血浆中PAI 1含量。结果 :①LN治疗组与对照组比较 (P <0 0 1) ;②LN患者经甲基强的松龙两次冲击治疗后与治疗前分别比较 (P <0 .0 1) ;③甲基强的松龙第二次冲击治疗后 ,与对照组比较无显著性差异 (P >0 0 5 )。结论 :甲基强的松龙通过干扰纤溶酶原激活物 (PA) 纤溶酶系统 ,使LN病人血浆中PAI 1含量明显降低 ,从而发挥治疗作用。 相似文献
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BackgroundAxillary lymph node status is one of the most important prognostic factors in breast cancer and previous studies indicated that lymph node ratio (LNR) could better predict the outcome than the counting of positive lymph nodes. In the current study, we evaluated the prognostic effect of modified LNR in breast cancer patients.MethodsA total of 3339 breast cancer patients undergoing axillary lymph nodes dissection were enrolled and respectively analyzed. Seventy five percent of participants were randomly selected as training cohort and the remaining 25% were as validation cohort. Univariate and multivariate analyses were performed and the prognostic impact of mLNR was compared with pN staging. A prognostic nomogram was established and externally validated in the validation cohort.ResultIn multivariate analysis, both the mLNR and pN staging were independent prognostic factors for breast cancer patients, and the mLNR manifested superior discrimination power than the pN stages regardless of the total number of lymph nodes retrieved and the lymph node status. The nomogram was built including the identified independent prognostic factors and the calibration curves indicated optimal agreement between nomogram prediction and actual observation. The Concordance index (C-index) of the nomogram was statistically higher than that of the TNM system (0.747 vs. 0.711 in training cohort, 0.789 vs. 0.760 in validation cohort, both p < 0.05).ConclusionModified LNR is an important prognostic parameter and can predict survival more accurately than pN staging. The novel nomogram could provide individual prediction for breast cancer patients and help clinicians in treatment option making and prognosis evaluation. 相似文献
298.
Feng Jin Bo Qu Zheng Fu Yan Zhang Anqin Han Li Kong Jinming Yu 《Clinical lung cancer》2018,19(1):e101-e108
Introduction
We assessed the prognostic value of the metabolic parameters of different lesions, including primary tumors and metastatic lymph nodes (LNs), measured by fluorine-18 fluorodeoxyglucose positron emission tomography (PET)/computed tomography in patients with limited-stage small-cell lung cancer (LS-SCLC) with LN metastasis.Materials and Methods
The present retrospective study included 46 patients with clinical stage II-III N1-N2 LS-SCLC who had undergone pretreatment fluorine-18 fluorodeoxyglucose PET/computed tomography scanning from January 2011 to December 2014. All patients underwent complete first-line therapy (concurrent chemoradiotherapy and prophylactic cranial irradiation). The metabolic parameters, including maximal standardized uptake value, mean standardized uptake value, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) values of the PTs and metastatic LNs were measured on PET. Kaplan-Meier survival curves were used for evaluation of progression-free survival (PFS) and overall survival (OS). Univariate and multivariate Cox proportional hazards models were used to analyze the prognostic factors.Results
The median OS and PFS were 25.9 months (range, 8.2-63.5 months) and 21 months (range, 6.4-55.3 months), respectively. Univariate analysis demonstrated that the Eastern Cooperative Oncology Group performance status, N1 station involvement, subcarinal LN metastasis, LN MTV, LN TLG, sum of the MTV, and summary of the TLG were significant predictive factors (P < .05). The Eastern Cooperative Oncology Group performance status, subcarinal nodal metastasis, LN MTV, and LN TLG were independent predictive factors of PFS and OS on multivariate analysis.Conclusion
The metabolic parameters of metastatic LNs, other than lung lesions, are independent prognostic factors in patients with LS-SCLC with LN metastasis. These parameters could further stratify the prognosis of these patients, and these findings might provide functional imaging evidence for the future study of the mechanisms of metastasis. 相似文献299.
Haibo Shao Colin McCarthy Eric Wehrenberg-Klee Ashraf Thabet Raul Uppot Steven Dawson Ronald S. Arellano 《Journal of vascular and interventional radiology : JVIR》2018,29(10):1429-1436
Purpose
To assess the technical success rate, diagnostic yield, and clinical value of computed tomography (CT)–guided percutaneous needle biopsy (PNB) for retroperitoneal and pelvic lymphadenopathy.Materials and Methods
This retrospective study included 344 patients evaluated for safety and technique and 334 patients evaluated for diagnostic yield and clinical analyses. PNBs were performed with fine-needle aspiration (FNA) in 315 patients and with core biopsy in 333 patients. Follow-up analyses, including repeat biopsy, open surgery, imaging, and clinical indicators, were conducted for 94 patients who had nonspecific malignant or benign results. Diagnostic yields were calculated based on biopsy and follow-up results. Factors associated with final diagnoses were compared and modeled by multivariate analysis.Results
Technical success rate was 99.7%. Thirty-nine patients (11.3%) had minor complications. From biopsy results and follow-up analyses, final malignant diagnoses were determined for 281 patients (84.1%). Overall sensitivity, specificity, and accuracy rates of PNB were 91.5%, 100%, and 92.8%, respectively. For patients with a history of malignancy, the likelihood of nodal involvement was 84.6% and that of a new, different malignancy was 3.7%. Older age (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.00–1.05), history of malignancy (OR, 3.44; 95% CI, 1.71–6.92), multiple lymph nodes (LNs; OR, 2.65; 95% CI, 1.38–5.09), and new or enlarging LNs (OR, 2.62; 95% CI, 1.25–5.48) were independent risk factors for malignancy diagnosis.Conclusions
CT-guided PNB is a safe, effective procedure that can achieve high diagnostic yields for patients with retroperitoneal and pelvic lymphadenopathy. 相似文献300.