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Yu N, Zhao ZL, Wei Y, Cao SL, Wu J, Yu MA. Comparison of US-guided thermal ablation and surgery for papillary thyroid cancer: a systematic review and meta-analysis. Int J Hyperthermia 2025; 42:2464206. [PMID: 39956542 DOI: 10.1080/02656736.2025.2464206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 01/01/2025] [Accepted: 02/03/2025] [Indexed: 02/18/2025] Open
Abstract
OBJECTIVE We conducted the systematic review and meta-analysis to comprehensively compare ablation and surgery in terms of effectiveness, safety and multiple factors affecting life quality of patients with papillary thyroid cancer (PTC). METHODS PubMed, Embase, Scopus, Web of Science and EBSCO were searched for relevant studies published between January 1980 and September 2023. Two reviewers independently extracted data according to the PRISMA recommendations and assessed the quality of each study with the Cochrane Risk of Bias Tool. Pooled analyses were performed using random or fixed-effects models, as appropriate. RESULTS A total of 4829 patients with PTC from 19 eligible studies were included. Through the meta-analysis, similar tumor progression (OR: 1.07; 95% CI 0.78, 1.48; p = 0.66) and recurrence-free survival (OR: 0.86; 95% CI, 0.55, 1.34; p = 0.50) were found between the patients undergoing ablation and those undergoing surgery. More strikingly, the lower risk of major complications (OR: 0.31; 95% CI 0.24, 0.41; p < 0.001), the shorter hospital stay (MD = 3.67 d; 95% CI, -4.89, -2.44; p < 0.001), the abbreviated procedure time (MD: -66.33 min, 95% CI, -77.08, -55.59; p < 0.001), the less intraoperative blood loss (MD: -27.43 ml, 95% CI, -34.60, -20.27; p < 0.001) and the lower treatment cost (MD: -860.42 USD, 95% CI, -1008.03, -712.81; p < 0.001) were noticed in ablation techniques compared to surgical operation. Thermal ablation has shown multiple advantages by virtue of its percutaneous puncture compared with surgical resection. CONCLUSION As an effective, safe, minimally invasive and economical modality, thermal ablation might be a promising alternative to existing PTC management options.
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Affiliation(s)
- Na Yu
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Zhen-Long Zhao
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ying Wei
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Shi-Liang Cao
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Jie Wu
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ming-An Yu
- Department of Interventional Medicine, China-Japan Friendship Hospital, Beijing, China
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Han B, Yang Q, Tao X, Wu M, Yang L, Deng W, Cui W, Luo D, Wan Q, Liu Z, Zhang N. Spatial-Temporal Information Fusion for Thyroid Nodule Segmentation in Dynamic Contrast-Enhanced MRI: A Novel Approach. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2025:10.1007/s10278-025-01463-0. [PMID: 40038135 DOI: 10.1007/s10278-025-01463-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 01/28/2025] [Accepted: 02/18/2025] [Indexed: 03/06/2025]
Abstract
This study aims to develop a novel segmentation method that utilizes spatio-temporal information for segmenting two-dimensional thyroid nodules on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Leveraging medical morphology knowledge of the thyroid gland, we designed a semi-supervised segmentation model that first segments the thyroid gland, guiding the model to focus exclusively on the thyroid region. This approach reduces the complexity of nodule segmentation by filtering out irrelevant regions and artifacts. Then, we introduced a method to explicitly extract temporal information from DCE-MRI data and integrated this with spatial information. The fusion of spatial and temporal features enhances the model's robustness and accuracy, particularly in complex imaging scenarios. Experimental results demonstrate that the proposed method significantly improves segmentation performance across multiple state-of-the-art models. The Dice similarity coefficient (DSC) increased by 8.41%, 7.05%, 9.39%, 11.53%, 20.94%, 17.94%, and 15.65% for U-Net, U-Net + + , SegNet, TransUnet, Swin-Unet, SSTrans-Net, and VM-Unet, respectively, and significantly improved the segmentation accuracy of nodules of different sizes. These results highlight the effectiveness of our spatial-temporal approach in achieving accurate and reliable thyroid nodule segmentation, offering a promising framework for clinical applications and future research in medical image analysis.
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Affiliation(s)
- Binze Han
- Southern University of Science and Technology (SUSTech), 518055, Shenzhen, China
- Paul C. Lauterbur Research Center for Biomedicalimaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Qian Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China
| | - Xuetong Tao
- Paul C. Lauterbur Research Center for Biomedicalimaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Meini Wu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China
| | - Long Yang
- Paul C. Lauterbur Research Center for Biomedicalimaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wenming Deng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China
| | - Wei Cui
- GE Healthcare, MR Research China, Beijing, China
| | - Dehong Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China
| | - Qian Wan
- Paul C. Lauterbur Research Center for Biomedicalimaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhou Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China.
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedicalimaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences; State Key Laboratory of Biomedical Imaging Science and System, Shenzhen, China.
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Hu Q, Ren A, Zhang X, Tang Z, Wang R, Wang DY, Huang T, Liu J, Ming J. Manganese-Loaded pH-Responsive DNA Hydrogels Enable Tg-Guided Thyroid Tumor Targeted Magnetic Resonance Imaging. ACS APPLIED MATERIALS & INTERFACES 2025. [PMID: 39996966 DOI: 10.1021/acsami.4c19676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/26/2025]
Abstract
The diagnosis of metastatic and recurrent occult thyroid cancer presents a significant challenge. This study introduces a DNA-Mn hydrogel (M-TDH) that specifically targets thyroglobulin (Tg). This nanogel is loaded with paramagnetic Mn2+ for facilitating magnetic resonance (MR) imaging. As a cofactor of DNA polymerase, Mn2+ promotes the extension of long-strand DNA and forms Mn2PPi nuclei with PPi4- in the system. The synthesis of M-TDH is achieved through Mn2PPi nucleation and growth with long-strand DNA acting as the structural framework. The X-scaffold functions as a junction point, thereby enhancing structural stability. The Tg aptamer sequence is incorporated into M-TDH, ensuring specific targeting of thyroid cancer cells. Furthermore, M-TDH demonstrates an extended residence time at the thyroid tumor site, thus increasing the duration of enhanced MR imaging. Overall, this study introduces an aptamer-based, thyroid tumor-targeted DNA nanogel for MR imaging diagnostic applications, with the potential to advance a multifunctional magnetic nanosystem toward clinical application.
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Affiliation(s)
- Qingyi Hu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Anwen Ren
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Ximeng Zhang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Zimei Tang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Rong Wang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Dong-Yuan Wang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Tao Huang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - Jie Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Provincial Clinical Research Center for Precision Radiology & Interventional Medicine, 430022 Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, 430022 Wuhan, China
| | - Jie Ming
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
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Hu L, Qian B, Zhu J, Gao S, Mei L, Ruan S, Qu X. Construction and validation of nomograms to predict central lymph node metastasis in clinical node-negative unilateral papillary thyroid carcinoma. Sci Rep 2025; 15:2662. [PMID: 39837926 PMCID: PMC11751388 DOI: 10.1038/s41598-025-86201-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 01/08/2025] [Indexed: 01/23/2025] Open
Abstract
The scope of neck lymph node dissection remains controversial for unilateral papillary thyroid carcinoma (UPTC) patients with no clinical evidence of lymph node metastasis (cN0). This study aims to build and validate a model for predicting central lymph node metastasis (CLNM) in UPTC patients through preoperative basic information and intraoperative rapid frozen pathology results. Retrospective analysis covered 1928 patients with PTC from the Wuhan Union Hospital database (2010-2020), randomly split into training and validation sets in a 7:3 ratio. Univariate and multivariate logistic regression analyses were performed to assess the risk factors for ipsilateral CLNM and contralateral CLNM in UPTC patients with cN0. Identified six risk factors for ipsilateral CLNM and seven risk factors for contralateral CLNM in cN0 UPTC patients. Two separate nomograms were constructed to visualize the results. The C-index for predicting ipsilateral and contralateral CLNM nomograms is 0.746 (95% CI 0.723-0.768) and 0.712 (95% CI 0.679-0.744), respectively. The calibration curves presented good agreement between prediction by nomograms and actual observation. The clinical decision curves suggest a net benefit from this model. UPTC patients can use these two nomograms to predict the probability of ipsilateral CLNM and contralateral CLNM separately, enabling risk stratification and aiding in surgical decision-making.
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Affiliation(s)
- Longqing Hu
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Bei Qian
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Junlin Zhu
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Shuting Gao
- Department of Vascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Li Mei
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Shengnan Ruan
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
| | - Xincai Qu
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
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Song B, Zheng T, Wang H, Tang L, Xie X, Fu Q, Liu W, Wu PY, Zeng M. Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:2852-2864. [PMID: 38839672 PMCID: PMC11612114 DOI: 10.1007/s10278-024-01102-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 06/07/2024]
Abstract
The study aims to evaluate multiparametric magnetic resonance imaging (MRI) for differentiating Follicular thyroid neoplasm (FTN) from non-FTN and malignant FTN (MFTN) from benign FTN (BFTN). We retrospectively analyzed 702 postoperatively confirmed thyroid nodules, and divided them into training (n = 482) and validation (n = 220) cohorts. The 133 FTNs were further split into BFTN (n = 116) and MFTN (n = 17) groups. Employing univariate and multivariate logistic regression, we identified independent predictors of FTN and MFTN, and subsequently develop a nomogram for FTN and a risk score system (RSS) for MFTN prediction. We assessed performance of nomogram through its discrimination, calibration, and clinical utility. The diagnostic performance of the RSS for MFTN was further compared with the performance of the Thyroid Imaging Reporting and Data System (TIRADS). The nomogram, integrating independent predictors, demonstrated robust discrimination and calibration in differentiating FTN from non-FTN in both training cohort (AUC = 0.947, Hosmer-Lemeshow P = 0.698) and validation cohort (AUC = 0.927, Hosmer-Lemeshow P = 0.088). Key risk factors for differentiating MFTN from BFTN included tumor size, restricted diffusion, and cystic degeneration. The AUC of the RSS for MFTN prediction was 0.902 (95% CI 0.798-0.971), outperforming five TIRADS with a sensitivity of 73.3%, specificity of 95.1%, accuracy of 92.4%, and positive and negative predictive values of 68.8% and 96.1%, respectively, at the optimal cutoff. MRI-based models demonstrate excellent diagnostic performance for preoperative predicting of FTN and MFTN, potentially guiding clinicians in optimizing therapeutic decision-making.
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Affiliation(s)
- Bin Song
- Department of Radiology, Zhongshan Hospital, Shanghai Medical Imaging Institute, Fudan University, No180, Fenglin Road, Xuhui District, 200032, Shanghai, China
- Department of Radiology, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Tingting Zheng
- Department of Radiology, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Lang Tang
- Department of Ultrasound, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Xiaoli Xie
- Department of Pathology, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Qingyin Fu
- Department of Ultrasound, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Weiyan Liu
- Department of General Surgery, Minhang Hospital, Fudan University, No 170, Xinsong Road, Minhang District, 201199, Shanghai, China
| | - Pu-Yeh Wu
- GE Healthcare, MR Research China, Beijing, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Shanghai Medical Imaging Institute, Fudan University, No180, Fenglin Road, Xuhui District, 200032, Shanghai, China.
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Wang B, Huang J, Chen L. Management of medullary thyroid cancer based on variation of carcinoembryonic antigen and calcitonin. Front Endocrinol (Lausanne) 2024; 15:1418657. [PMID: 39449744 PMCID: PMC11499115 DOI: 10.3389/fendo.2024.1418657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 09/25/2024] [Indexed: 10/26/2024] Open
Abstract
Carcinoembryonic antigen (CEA) and calcitonin (Ctn) are pivotal biomarkers in the diagnosis and management of medullary thyroid carcinoma (MTC). However, their diagnostic reliability in perioperative period remains a topic of ongoing debate. This review synthesizes researches on perioperative fluctuations in CEA and Ctn levels, and evaluates the impact of their different combinations on MTC diagnosis, treatment decisions, and prognosis. Our findings highlight it is crucial to understand and interpret the various combinations of CEA and Ctn fluctuations within a clinical context. Furthermore, to reduce diagnostic errors and improve patient outcomes, we recommend follow-up diagnostic and treatment protocols designed to address the potential pitfalls associated with the use of these biomarkers.
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Affiliation(s)
- Bo Wang
- Department of Paediatric Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Jie Huang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Chen
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilian University of Munich, Munich, Germany
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7
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Xu X, Peng Y, Han G. Three-year follow-up results of radiofrequency ablation for low-risk papillary thyroid microcarcinomas: Systematic review and meta-analysis. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:108470. [PMID: 38870871 DOI: 10.1016/j.ejso.2024.108470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/21/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024]
Abstract
OBJECTIVES Confidence in long-term treatment results of radiofrequency ablation (RFA) for papillary thyroid microcarcinoma (PTMC) is required in comparison with surgery and active surveillance (AS). The objective of this meta-analysis is to report more than three years of follow-up results of radiofrequency ablation for PTMCs. METHODS Ovid PUBMED, COCHRANE, and EMBASE databases were searched through Nov 19, 2023, for studies reporting outcomes in patients with PTMC treated with radiofrequency ablation and followed up for more than 3 years. The standard mean difference of the tumor volume before and after therapy, tumor recurrence, lymph node (LN) metastasis, distant metastasis, complications, and the pooled volume reduction rates (VRRs) at 1, 3, 6, 12, 24, 36, and 48 months after radiofrequency ablation were assessed. Data were extracted and methodological quality was assessed independently by two radiologists according to the PRISMA guidelines. RESULTS Eight studies, involving 2131 patients, met the inclusion criteria through database searches. The overall VRR was 99.81 % (95 % CI: 99.68, 99.95) in the last follow-up. During a mean pooled follow-up of 46.59 months, 69 patients experienced local PTMC recurrence, with 8 cases within the ablation area. Additionally, 44 patients were diagnosed with newly discovered PTMC, and 17 patients exhibited lymph node metastases. Among the patients with PTMC recurrence, 3 were under active surveillance while 59 underwent additional RFA. The pooled mean complication rate was 2.80 %, with no instances of life-threatening or delayed complications. CONCLUSIONS Radiofrequency ablation proves to be an effective local tumor control method for low-risk PTMC patients, resulting in clinically significant and enduring volume reduction. The rate of regrowth and retreatment requirement post-RFA was notably lower, positioning RFA as a compelling alternative to existing treatment options.
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Affiliation(s)
- Xidong Xu
- Department of Thyroid Surgery, The Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Ying Peng
- Department of Endocrine, The Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Guoxin Han
- Department of Thyroid Surgery, The Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
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Wei M, Yang H, Li Z, Hu W, Qin Y, Wan L. The value of synthetic MRI for quantitative analysis in the diagnosis of cervical lymph node metastasis in thyroid cancer. Acta Radiol 2024; 65:744-752. [PMID: 38870345 DOI: 10.1177/02841851241257775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
BACKGROUND Preoperative effective assessment of cervical lymph node metastasis in thyroid cancer plays an important role in formulating the surgical plan. PURPOSE To investigate the significance of synthetic magnetic resonance imaging (MRI) for quantitatively analyzing cervical lymph node metastasis in thyroid cancer. MATERIAL AND METHODS A retrospective analysis was conducted on 30 patients with thyroid cancer, consisting of 19 thyroid cancer nodules, 45 metastatic lymph nodes, and 47 non-metastatic lymph nodes. Regions of interest (ROIs) for each type of nodule were manually delineated using a workstation. Quantitative parameters, such as T1, T2, and proton density (PD) values, were automatically extracted from synthetic MRI scans. Statistical tests and regression analysis were performed to assess differences and correlations among the quantitative parameters. RESULTS There were no significant differences in the quantitative parameter values between the primary tumor and metastatic lymph node tissues (P > 0.05). However, significant differences were observed in the quantitative parameters between the primary tumor and non-metastatic lymph node tissues and between the metastatic and non-metastatic lymph node tissues (P < 0.05). The diagnostic accuracy for cervical lymph node metastasis in thyroid cancer was 94.4% for the T1 and T2 combined index, 91.9% for T2, 86.8% for T1, and 71.7% for PD values. CONCLUSION The application of quantitative parameters from synthetic MRI can assist clinicians in accurately planning surgical interventions for thyroid cancer patients before surgery.
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Affiliation(s)
- Mei Wei
- Department of Radiology, Bishan Hospital affiliated to Chongqing Medical University, Chongqing, PR China
| | - Haitao Yang
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
| | - Zhihua Li
- Department of Radiology, Bishan Hospital affiliated to Chongqing Medical University, Chongqing, PR China
| | - Wei Hu
- Department of Radiology, Bishan Hospital affiliated to Chongqing Medical University, Chongqing, PR China
| | - Yong Qin
- Department of Radiology, Bishan Hospital affiliated to Chongqing Medical University, Chongqing, PR China
| | - Liangbin Wan
- Department of Radiology, Bishan Hospital affiliated to Chongqing Medical University, Chongqing, PR China
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Chen J, Lin Z, Xu B, Lu T, Zhang X. The efficacy and assessment value of the level of thyroglobulin wash-out after fine-needle aspiration cytodiagnosis in the evaluation of lymph node metastasis in papillary thyroid carcinoma. World J Surg Oncol 2024; 22:149. [PMID: 38840197 PMCID: PMC11151531 DOI: 10.1186/s12957-024-03430-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/27/2024] [Indexed: 06/07/2024] Open
Abstract
OBJECTIVE The purpose of this study was to evaluate the efficacy and clinical value of US, FNAC,FNA-Tg and FNAC + FNA-Tg, as well as the cutoff values of FNA-Tg to evaluate LN metastasis. METHODS We analyzed the diagnostic value of different US signs, the efficiency of US, FNAC, FNA-Tg and FNAC + FNA-Tg among the LN- and LN + groups, and the cutoff value of FNA-Tg to evaluate LN metastasis. We punctured LNs multiple times and measured the levels of FNA-Tg. Furthermore, the LNs were marked with immunohistochemical Tg and LCA to distinguish the presence of Tg in the para-cancerous tissue of the LNs. RESULTS The s-Tg and FNA-Tg of the LN + group were higher than those of the LN- group (P = 0.018, ≤ 0.001). The LN + group had more abnormal US signs than the LN- group. The cutoff value of FNA-Tg was 3.2 ng/mL. US had a high sensitivity (92.42), but the specificity was not satisfactory (55.1). FNA-Tg had a higher sensitivity (92.42 vs. 89.39), specificity (100 vs. 93.88), and accuracy (92.42 vs. 83.27) than FNAC. However, the sensitivity of FNAC + FNA-Tg increased further, while the specificity and accuracy decreased slightly. The presence of Tg in the normal lymphocytes adjacent to the cancer was confirmed. CONCLUSION Ultrasonography provides a noninvasive, dynamic, multidimensional assessment of LNs. With a cutoff value of 3.2 ng/mL, FNA-Tg has higher accuracy and a lower false-negative rate than various single diagnoses. However, FNAC combined with FNA-Tg does not cause additional pain to patients and offers a higher diagnostic efficacy and clinical value.
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Affiliation(s)
- Jie Chen
- Thyroid and Breast Surgery, Department of General Surgery, Wanbei Coal and Power Group General Hospital affiliated With Bengbu Medical University, Su Zhou, Anhui Province, China
| | - Zongwu Lin
- Thyroid and Breast Surgery, Department of General Surgery, Wanbei Coal and Power Group General Hospital affiliated With Bengbu Medical University, Su Zhou, Anhui Province, China
| | - Bo Xu
- Thyroid and Breast Surgery, Department of General Surgery, Wanbei Coal and Power Group General Hospital affiliated With Bengbu Medical University, Su Zhou, Anhui Province, China
| | - Tianwen Lu
- Thyroid and Breast Surgery, Department of General Surgery, Wanbei Coal and Power Group General Hospital affiliated With Bengbu Medical University, Su Zhou, Anhui Province, China
| | - Xinghai Zhang
- Thyroid and Breast Surgery, Department of General Surgery, Wanbei Coal and Power Group General Hospital affiliated With Bengbu Medical University, Su Zhou, Anhui Province, China.
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Chakrabarty N, Mahajan A, Basu S, D’Cruz AK. Comprehensive Review of the Imaging Recommendations for Diagnosis, Staging, and Management of Thyroid Carcinoma. J Clin Med 2024; 13:2904. [PMID: 38792444 PMCID: PMC11122658 DOI: 10.3390/jcm13102904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/01/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
Thyroid cancer is the most common head and neck cancer (HNC) in the world. In this article, we comprehensively cover baseline, posttreatment, and follow-up imaging recommendations for thyroid carcinomas along with the eighth edition of the tumor, node, metastasis (TNM) staging system proposed by the American Joint Committee on Cancer (AJCC) and the Union for International Cancer Control (UICC). We include characterization and risk stratification of thyroid nodules on ultrasound (US) proposed by various international bodies. Management guidelines (depending upon the type of thyroid carcinoma) based on the international consensus recommendations (mainly by the American Thyroid Association) are also extensively covered in this article, including the role of a radioiodine scan. The management of recurrent disease is also briefly elucidated in this article. In addition, we cover the risk factors and etiopathogenesis of thyroid carcinoma along with the non-imaging diagnostic workup essential for thyroid carcinoma management, including the significance of genetic mutations. US is the diagnostic imaging modality of choice, with US-guided fine needle aspiration (FNA) being the procedure of choice for tissue diagnosis. The roles of computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography/CT (FDG-PET/CT) in thyroid carcinoma staging are also specified. Through this article, we aim to provide a comprehensive reference guide for the radiologists and the clinicians in the pursuit of optimal care for patients with thyroid carcinoma.
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Affiliation(s)
- Nivedita Chakrabarty
- Department of Radiodiagnosis, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Parel, Mumbai 400012, Maharashtra, India;
| | - Abhishek Mahajan
- Department of Imaging, The Clatterbridge Cancer Centre NHS Foundation Trust, 65 Pembroke Place, Liverpool L7 8YA, UK
- Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 3BX, UK
| | - Sandip Basu
- Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Hospital Annexe, Homi Bhabha National Institute (HBNI), Parel, Mumbai 400012, Maharashtra, India;
| | - Anil K. D’Cruz
- Apollo Hospitals, Navi Mumbai 400614, Maharashtra, India;
- Foundation of Head Neck Oncology, Mumbai 400012, Maharashtra, India
- Union International Cancer Control (UICC), 1202 Geneva, Switzerland
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11
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Lee JY, Baek JH, Ha EJ, Sung JY, Shin JH, Kim JH, Lee MK, Jung SL, Lee YH, Ahn HS, Yoon JH, Choi YJ, Park JS, Lee YJ, Choi M, Na DG. 2020 Imaging Guidelines for Thyroid Nodules and Differentiated Thyroid Cancer: Korean Society of Thyroid Radiology. Korean J Radiol 2021; 22:840-860. [PMID: 33660459 PMCID: PMC8076832 DOI: 10.3348/kjr.2020.0578] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 08/24/2020] [Accepted: 10/14/2020] [Indexed: 12/19/2022] Open
Abstract
Imaging plays a key role in the diagnosis and characterization of thyroid diseases, and the information provided by imaging studies is essential for management planning. A referral guideline for imaging studies may help physicians make reasonable decisions and minimize the number of unnecessary examinations. The Korean Society of Thyroid Radiology (KSThR) developed imaging guidelines for thyroid nodules and differentiated thyroid cancer using an adaptation process through a collaboration between the National Evidence-based Healthcare Collaborating Agency and the working group of KSThR, which is composed of radiologists specializing in thyroid imaging. When evidence is either insufficient or equivocal, expert opinion may supplement the available evidence for recommending imaging. Therefore, we suggest rating the appropriateness of imaging for specific clinical situations in this guideline.
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Affiliation(s)
- Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Eun Ju Ha
- Department of Radiology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Jin Yong Sung
- Department of Radiology and Thyroid Center, Daerim St. Mary's Hospital, Seoul, Korea
| | - Jung Hee Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Min Kyoung Lee
- Department of Radiology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - So Lyung Jung
- Department of Radiology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Young Hen Lee
- Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Hye Shin Ahn
- Department of Radiology and Thyroid Center, Chungang University Hospital, Chungang University College of Medicine, Seoul, Korea
| | - Jung Hyun Yoon
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yoon Jung Choi
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University College of Medicine, Seoul, Korea
| | - Jeong Seon Park
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Yoo Jin Lee
- Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Miyoung Choi
- Division for Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Dong Gyu Na
- Department of Radiology, Gangneung Asan Hospital, Ulsan University College of Medicine, Gangneung, Korea
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