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Toro-Tobon D, Brito JP. Controversies in the Management of Intermediate-Risk Differentiated Thyroid Cancer. Endocr Pract 2024:S1530-891X(24)00556-1. [PMID: 38876179 DOI: 10.1016/j.eprac.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/30/2024] [Accepted: 06/06/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND Intermediate-risk thyroid cancer accounts for up to two-thirds of all cases of differentiated thyroid cancer (DTC), yet it is subject to substantial variations in risk stratification and management strategies. METHODS This comprehensive review examines the current controversies regarding diagnosis and management of intermediate risk DTC. RESULTS The evolution of risk stratification systems is discussed, highlighting limitations such as heterogeneity in patient cohorts, variability in outcome definitions, and the need for more precise risk estimation tools incorporating genetic profiles and individual risk modifiers. The role of radioactive iodine therapy in intermediate-risk DTC is examined, considering evolving evidence, conflicting study results, and the necessity for personalized treatment decisions based on risk modifiers, potential morbidity, and patient preferences. Furthermore, the shift from total thyroidectomy to lobectomy in certain intermediate-risk cases is explored, emphasizing the need for tailored surgical approaches and the impact on long-term outcomes, recurrence rates, and quality of life. CONCLUSION Management of intermediate-risk DTC remains controversial. This review summarizes current evidence to aid decision-making. Further research, prospective trials, and collaboration are crucial to address these complexities and personalize care for patients.
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Affiliation(s)
- David Toro-Tobon
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Mayo Clinic, Rochester
| | - Juan P Brito
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Mayo Clinic, Rochester; Knowledge and Evaluation Research Unit in Endocrinology, Mayo Clinic, Rochester, Minnesota.
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Zhang WD, Le Q, Yu KJ, Wang YC, Wu XJ. Application of Carbon Nanoparticles in Transoral Endoscopic Thyroidectomy Vestibular Approach for Unilateral Papillary Thyroid Cancer. Surg Laparosc Endosc Percutan Tech 2024; 34:301-305. [PMID: 38722747 DOI: 10.1097/sle.0000000000001286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/28/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Transoral endoscopic thyroidectomy vestibular approach (TOETVA) is newly applied technology. Carbon nanoparticles (CNs) are novel lymph node tracers that have been widely used in China to help remove central lymph nodes (CLNs) and protect the parathyroid glands (PGs) in open thyroid cancer surgery. This study is to evaluate the effectiveness and safety of CNs in TOETVA. MATERIALS AND METHODS A total of 158 patients who underwent TOETVA with unilateral papillary thyroid carcinoma were enrolled in this study from March 2019 to February 2022. The participants were divided into a CNs group (n=88) and a control group (n=70), based on whether they received a intraoperative injection of CNs or not. Meanwhile, the CNs group were additionally divided into 2 subgroups, leakage subgroup (n=26) and standard subgroup (n=62). The 2 groups and subgroups were compared in terms of patient characteristics, perioperative clinical results, and postoperative outcomes. RESULTS All common metrics had no significant differences were found between the CNs group and the control group ( P >0.05). The standard subgroup of CNs group had advantage over the control group on PGs identification (59/62 vs. 59/70 for superior PG, 56/62 vs. 52/70 for inferior PG, P <0.05). Moreover, the standard subgroup harvested more CLNs than the control group (8.97±2.96 vs. 7.47±2.93, P <0.05). More operation time was spent on the leakage subgroup of CNs group than the control group (160.00±17.61 vs. 140.00±13.32, P <0.05). Meanwhile, the leakage subgroup had disadvantage on intraoperative hemorrhage (26.15±10.80 vs. 21.21±7.09, P <0.05) and hospital durations (4.96±0.72 vs. 4.57±0.69, P <0.05). Furthermore, the leakage group identified fewer inferior PG than the control group (7/26 vs. 52/70, P <0.05). Contrary to the standard subgroup, the CLNs of the leakage subgroup was also unsatisfactory compared with the control group (4.96±1.84 vs. 7.47±2.93, P <0.05). CONCLUSIONS The application of CNs suspension tracing technology has a definite effect in TOETVA. It can improve the thoroughness of lymph node dissection in the central region and enhance recognition of the PG. However, refined extracapsular anatomy is indispensable to prevent CN leakage. Leaked CNs will also be counterproductive to the operation.
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Affiliation(s)
- Wei-Dong Zhang
- Department of Thyroid Surgery, Ningbo No. 2 Hospital, Ningbo, Zhejiang Province, China
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3
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Gao Y, Wang W, Yang Y, Xu Z, Lin Y, Lang T, Lei S, Xiao Y, Yang W, Huang W, Li Y. An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer. BMC Cancer 2024; 24:69. [PMID: 38216936 PMCID: PMC10787418 DOI: 10.1186/s12885-024-11838-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 01/03/2024] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE To evaluate the value of an integrated model incorporating deep learning (DL), hand-crafted radiomics and clinical and US imaging features for diagnosing central lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC). METHODS This retrospective study reviewed 613 patients with clinicopathologically confirmed PTC from two institutions. The DL model and hand-crafted radiomics model were developed using primary lesion images and then integrated with clinical and US features selected by multivariate analysis to generate an integrated model. The performance was compared with junior and senior radiologists on the independent test set. SHapley Additive exPlanations (SHAP) plot and Gradient-weighted Class Activation Mapping (Grad-CAM) were used for the visualized explanation of the model. RESULTS The integrated model yielded the best performance with an AUC of 0.841. surpassing that of the hand-crafted radiomics model (0.706, p < 0.001) and the DL model (0.819, p = 0.26). Compared to junior and senior radiologists, the integrated model reduced the missed CLNM rate from 57.89% and 44.74-27.63%, and decreased the rate of unnecessary central lymph node dissection (CLND) from 29.87% and 27.27-18.18%, respectively. SHAP analysis revealed that the DL features played a primary role in the diagnosis of CLNM, while clinical and US features (such as extrathyroidal extension, tumour size, age, gender, and multifocality) provided additional support. Grad-CAM indicated that the model exhibited a stronger focus on thyroid capsule in patients with CLNM. CONCLUSION Integrated model can effectively decrease the incidence of missed CLNM and unnecessary CLND. The application of the integrated model can help improve the acceptance of AI-assisted US diagnosis among radiologists.
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Affiliation(s)
- Yang Gao
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Weizhen Wang
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Yuan Yang
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Ziting Xu
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Yue Lin
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Ting Lang
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China
| | - Shangtong Lei
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China
| | - Yisheng Xiao
- Department of Ultrasound, the First People's Hospital of Foshan, Lingnan Avenue North No.81, Foshan, Guangdong Province, P. R. China
| | - Wei Yang
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China.
| | - Weijun Huang
- Department of Ultrasound, the First People's Hospital of Foshan, Lingnan Avenue North No.81, Foshan, Guangdong Province, P. R. China.
| | - Yingjia Li
- Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China.
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Ma Y, Li Y, Zheng L, He Q. Prospective application of a prediction model for lateral lymph node metastasis in papillary thyroid cancer patients with central lymph node metastasis. Front Endocrinol (Lausanne) 2024; 14:1283409. [PMID: 38239987 PMCID: PMC10795756 DOI: 10.3389/fendo.2023.1283409] [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: 08/26/2023] [Accepted: 12/01/2023] [Indexed: 01/22/2024] Open
Abstract
Objective This study aimed to develop and apply a prediction model to estimate the probability of lateral lymph node metastasis (LLNM) in patients with cN0 unilateral papillary thyroid carcinoma (PTC) with central lymph node metastasis (CLNM). Setting All study data were collected from a single tertiary hospital. Methods Univariable and multivariable logistic regression analyses were used to explore independent predictors of LLNM in the derivation and internal validation cohorts, which were used to construct and validate a nomogram. Another 96 patients were included prospectively to evaluate the efficacy of this nomogram. Results Maximum tumor diameter greater than 1.0 cm (OR, 2.712; 95% CI, 1.412-5.210), multifocality (OR, 2.758; 95% CI, 1.120-6.789), the number of CLNM ≥3 (OR, 2.579; 95% CI, 1.315-5.789), CLNM ratio ≥0.297 (OR, 2.905; 95% CI, 1.396-6.043), and tumors located in the upper portion (OR 2.846, 95% CI 1.151-7.039) were independent predictors associated with LLNM. The prediction model showed excellent discrimination with an AUC of 0.731 (95% CI, 0.635-0.827). Novel risk stratification for LLNM was constructed based on this nomogram. In the prospective cohort, we stratified these patients into three risk subgroups: low-, moderate-, and high-risk subgroups and we found that the probability of LLNM was positively correlated with the total points from the nomogram. Conclusion This nomogram was applied in prospective clinical practice and distinguished PTC patients with a genuinely high risk of LLNM. Surgeons can use our nomogram to tailor the surgical plan and to credibly determine further postoperative therapy.
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Affiliation(s)
- Yunhan Ma
- Department of General Surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Yi Li
- Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Luming Zheng
- Department of General Surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Qingqing He
- Department of General Surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
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Jammah AA, AlSadhan IM, Alyusuf EY, Alajmi M, Alhamoudi A, Al-Sofiani ME. The American Thyroid Association risk stratification and long-term outcomes of differentiated thyroid cancer: a 20-year follow-up of patients in Saudi Arabia. Front Endocrinol (Lausanne) 2023; 14:1256232. [PMID: 38047113 PMCID: PMC10690932 DOI: 10.3389/fendo.2023.1256232] [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: 07/10/2023] [Accepted: 10/27/2023] [Indexed: 12/05/2023] Open
Abstract
Background Studies have reported differing factors associated with poor outcomes in patients with differentiated thyroid cancer (DTC). We aimed to describe our 20 years of experience in the management of thyroid cancer (TC) and identify predictors of treatment outcomes. Methods We conducted a retrospective review of medical records of patients with TC seen in the Thyroid Center at King Saud University Medical City (KSUMC) in Riyadh, Saudi Arabia, between the years 2000 and 2020. Demographic and clinical data including pathological characteristics were collected. The American Thyroid Association (ATA) risk stratification was determined for all patients at the postoperative period as well as the response to therapy at the final follow-up visit. Results A total of 674 patients (mean age: 47.21 years) with TC, 571 (84.7%) of which were women, were included. There were 404 (60.0%) patients with ATA low risk, 127 (18.8%) with intermediate risk, and 143 (21.2%) with high-risk histology. Overall, 461 patients (68.4%) had an excellent response to treatment, 65 (9.6%) had an indeterminate response, 83 (12.3%) had a biochemical incomplete response, and 65 (9.6%) had a structural incomplete response. Patients who had an excellent response were mostly ATA low risk (n = 318 of 431, 68.1%), whereas 40 of 65 patients (61.5%) of those with ATA high-risk histology had a structural incomplete response to treatment. There were significantly more women who had an excellent response compared with men. Obesity, lymphovascular invasion, and size of the tumor were significant predictors of worse outcomes to therapy. Conclusion Tumor size, lymphovascular invasion, and obesity are strong predictors of a worse response to therapy among patients with TC. Patients with obesity should be carefully followed up regardless of their risk stratification in light of the recent compelling evidence associating obesity with thyroid cancer and its higher risk of a worse disease outcome. ATA risk stratification is well correlated with patient long-term outcomes.
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Affiliation(s)
- Anwar Ali Jammah
- Endocrinology and Diabetes Division, Department of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Ibrahim Mohammed AlSadhan
- Endocrinology and Diabetes Division, Department of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | | | - Mubarak Alajmi
- Internal Medicine Division, Department of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah Alhamoudi
- Endocrinology and Diabetes Division, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Mohammed E. Al-Sofiani
- Division of Endocrinology, Department of Internal Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
- Division of Endocrinology, Diabetes & Metabolism, The Johns Hopkins University, Baltimore, MD, United States
- Endocrinology and Diabetes Division, Strategic Center for Diabetes Research, Riyadh, Saudi Arabia
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Wang Z, Bo H, Xu Y, Bi Z, Yin Z, Yu C, Luo E, Shi X, Chen B, Wang Y, Sha R. Application of carbon nanoparticles combined with refined extracapsular anatomy in endoscopic thyroidectomy. Front Endocrinol (Lausanne) 2023; 14:1131947. [PMID: 37334307 PMCID: PMC10272794 DOI: 10.3389/fendo.2023.1131947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Objective To evaluate the value of refined extracapsular anatomy combined with carbon nanoparticle suspension tracing technology for protecting parathyroid function and the thoroughness of lymph node dissection in the central region during endoscopic thyroid cancer surgery. Patients and methods Retrospective clinical data analysis was performed on 108 patients who underwent endoscopic thyroid cancer surgery at the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital) from November 2019 to November 2022. Before surgery, thyroid function tests, color Doppler ultrasounds and neck-enhanced CT scans were performed on all patients. Cytopathological diagnosis obtained via ultrasound-guided fine-needle aspiration served as confirmation for the primary diagnosis. It was determined whether to perform a total thyroidectomy or a hemithyroidectomy (HT) together with preventive unilateral (ipsilateral) central neck dissection. Follow-up times were 1 to 34 months. Results Transient neuromuscular symptoms were present in 3.70% (4/108) cases, with no permanent neuromuscular symptoms or permanent hypoparathyroidism. Regarding transient hypoparathyroidism, the patients recovered after three months and did not need long-term calcium supplementation. The number of harvested LNs (mean± SD) was 5.54 ± 3.84, with ≤5 in 57.41% (62/108) and >5 in 42.59% (46/108) cases. The number of patients with metastatic LNs was 37.96% (41/108), with ≤2 in 65.85% (27/41) and >2 in 34.15% (14/41) cases. Conclusions Fine extracapsular anatomy combined with carbon nanoparticle suspension tracing is effective in endoscopic thyroid cancer surgery. It can improve the thoroughness of prophylactic central neck dissection and recognition of the parathyroid gland and avoid parathyroid injury and other complications to effectively protect parathyroid function.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Rui Sha
- *Correspondence: Rui Sha, ; Yabing Wang,
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Popović Krneta M, Šobić Šaranović D, Mijatović Teodorović L, Krajčinović N, Avramović N, Bojović Ž, Bukumirić Z, Marković I, Rajšić S, Djorović BB, Artiko V, Karličić M, Tanić M. Prediction of Cervical Lymph Node Metastasis in Clinically Node-Negative T1 and T2 Papillary Thyroid Carcinoma Using Supervised Machine Learning Approach. J Clin Med 2023; 12:jcm12113641. [PMID: 37297835 DOI: 10.3390/jcm12113641] [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: 04/27/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Papillary thyroid carcinoma (PTC) is generally considered an indolent cancer. However, patients with cervical lymph node metastasis (LNM) have a higher risk of local recurrence. This study evaluated and compared four machine learning (ML)-based classifiers to predict the presence of cervical LNM in clinically node-negative (cN0) T1 and T2 PTC patients. The algorithm was developed using clinicopathological data from 288 patients who underwent total thyroidectomy and prophylactic central neck dissection, with sentinel lymph node biopsy performed to identify lateral LNM. The final ML classifier was selected based on the highest specificity and the lowest degree of overfitting while maintaining a sensitivity of 95%. Among the models evaluated, the k-Nearest Neighbor (k-NN) classifier was found to be the best fit, with an area under the receiver operating characteristic curve of 0.72, and sensitivity, specificity, positive and negative predictive values, F1 and F2 scores of 98%, 27%, 56%, 93%, 72%, and 85%, respectively. A web application based on a sensitivity-optimized kNN classifier was also created to predict the potential of cervical LNM, allowing users to explore and potentially build upon the model. These findings suggest that ML can improve the prediction of LNM in cN0 T1 and T2 PTC patients, thereby aiding in individual treatment planning.
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Affiliation(s)
- Marina Popović Krneta
- Department of Nuclear Medicine, Institute for Oncology and Radiology of Serbia, 11 000 Belgrade, Serbia
| | - Dragana Šobić Šaranović
- Faculty of Medicine, University of Belgrade, 11 000 Belgrade, Serbia
- Center for Nuclear Medicine with PET, University Clinical Center of Serbia, 11 000 Belgrade, Serbia
| | - Ljiljana Mijatović Teodorović
- Department of Nuclear Medicine, Institute for Oncology and Radiology of Serbia, 11 000 Belgrade, Serbia
- Faculty of Medical Sciences, University of Kragujevac, 34 000 Kragujevac, Serbia
| | - Nemanja Krajčinović
- Department of Power, Electronics and Telecommunications, Faculty of Technical Sciences, University of Novi Sad, 21 000 Novi Sad, Serbia
| | - Nataša Avramović
- Department of Power, Electronics and Telecommunications, Faculty of Technical Sciences, University of Novi Sad, 21 000 Novi Sad, Serbia
| | - Živko Bojović
- Department of Power, Electronics and Telecommunications, Faculty of Technical Sciences, University of Novi Sad, 21 000 Novi Sad, Serbia
| | - Zoran Bukumirić
- Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 11 000 Belgrade, Serbia
| | - Ivan Marković
- Faculty of Medicine, University of Belgrade, 11 000 Belgrade, Serbia
- Surgical Oncology Clinic, Institute for Oncology and Radiology of Serbia, 11 000 Belgrade, Serbia
| | - Saša Rajšić
- Department of Anesthesiology and Intensive Care Medicine, Medical University Innsbruck, 6020 Innsbruck, Austria
| | - Biljana Bazić Djorović
- Department of Nuclear Medicine, Institute for Oncology and Radiology of Serbia, 11 000 Belgrade, Serbia
| | - Vera Artiko
- Faculty of Medicine, University of Belgrade, 11 000 Belgrade, Serbia
- Center for Nuclear Medicine with PET, University Clinical Center of Serbia, 11 000 Belgrade, Serbia
| | - Mihajlo Karličić
- School of Electrical Engineering, University of Belgrade, 11 000 Belgrade, Serbia
| | - Miljana Tanić
- Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, 11 000 Belgrade, Serbia
- UCL Cancer Institute, London WC1E 6DD, UK
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Yang S, Tan M, Xu X. Active Surveillance for Low-risk Papillary Thyroid Carcinoma. JAMA Oncol 2023; 9:722-723. [PMID: 36862418 DOI: 10.1001/jamaoncol.2023.0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Affiliation(s)
- Shijie Yang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meijuan Tan
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiequn Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Park JO, Kim JH, Joo YH, Kim SY, Kim GJ, Kim HB, Lee DH, Hong HJ, Park YM, Chung EJ, Ji YB, Oh KH, Lee HS, Lee DK, Park KN, Ban MJ, Kim BH, Kim DH, Cho JK, Ahn DB, Kim MS, Seok JG, Jang JY, Choi HG, Kim HJ, Park SJ, Jung EK, Kim YS, Hong YT, Lee YC, Won HR, Shin SC, Baek SK, Kwon SY. Guideline for the Surgical Management of Locally Invasive Differentiated Thyroid Cancer From the Korean Society of Head and Neck Surgery. Clin Exp Otorhinolaryngol 2023; 16:1-19. [PMID: 36634669 PMCID: PMC9985989 DOI: 10.21053/ceo.2022.01732] [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: 12/14/2022] [Accepted: 01/11/2023] [Indexed: 01/12/2023] Open
Abstract
The aim of this study was to develop evidence-based recommendations for determining the surgical extent in patients with locally invasive differentiated thyroid cancer (DTC). Locally invasive DTC with gross extrathyroidal extension invading surrounding anatomical structures may lead to several functional deficits and poor oncological outcomes. At present, the optimal extent of surgery in locally invasive DTC remains a matter of debate, and there are no adequate guidelines. On October 8, 2021, four experts searched the PubMed, Embase, and Cochrane Library databases; the identified papers were reviewed by 39 experts in thyroid and head and neck surgery. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the quality of evidence, and to develop and report recommendations. The strength of a recommendation reflects the confidence of a guideline panel that the desirable effects of an intervention outweigh any undesirable effects, across all patients for whom the recommendation is applicable. After completing the draft guidelines, Delphi questionnaires were completed by members of the Korean Society of Head and Neck Surgery. Twenty-seven evidence-based recommendations were made for several factors, including the preoperative workup; surgical extent of thyroidectomy; surgery for cancer invading the strap muscles, recurrent laryngeal nerve, laryngeal framework, trachea, or esophagus; and surgery for patients with central and lateral cervical lymph node involvement. Evidence-based guidelines were devised to help clinicians make safer and more efficient clinical decisions for the optimal surgical treatment of patients with locally invasive DTC.
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Affiliation(s)
- Jun-Ook Park
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joo Hyun Kim
- Department of Otolaryngology-Head and Neck Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Young Hoon Joo
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sang-Yeon Kim
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Geun-Jeon Kim
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun Bum Kim
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dong-Hyun Lee
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun Jun Hong
- Department of Otolaryngology-Head and Neck Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Young Min Park
- Department of Otolaryngology-Head and Neck Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Eun-Jae Chung
- Department of Otolaryngology-Head and Neck Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Bae Ji
- Department of Otolaryngology-Head and Neck Surgery, Hanyang University College of Medicine, Seoul, Korea
| | - Kyoung Ho Oh
- Department of Otolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea
| | - Hyoung Shin Lee
- Department of Otolaryngology-Head and Neck Surgery, Kosin University College of Medicine, Busan, Korea
| | - Dong Kun Lee
- Department of Otolaryngology-Head and Neck Surgery, Dong-A University College of Medicine, Busan, Korea
| | - Ki Nam Park
- Department of Otolaryngology-Head and Neck Surgery, Soonchunhyang University College of Medicine, Asan, Korea
| | - Myung Jin Ban
- Department of Otolaryngology-Head and Neck Surgery, Soonchunhyang University College of Medicine, Asan, Korea
| | - Bo Hae Kim
- Department of Otolaryngology-Head and Neck Surgery, Dongguk University College of Medicine, Goyang, Korea
| | - Do Hun Kim
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Inje University, Busan, Korea
| | - Jae-Keun Cho
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Inje University, Busan, Korea
| | - Dong Bin Ahn
- Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Min-Su Kim
- Department of Otolaryngology-Head and Neck Surgery, CHA University School of Medicine, Seongnam, Korea
| | - Jun Girl Seok
- Department of Otolaryngology-Head and Neck Surgery, National Cancer Center, Goyang, Korea
| | - Jeon Yeob Jang
- Department of Otolaryngology-Head and Neck Surgery, Ajou University School of Medicine, Suwon, Korea
| | - Hyo Geun Choi
- Department of Otolaryngology-Head and Neck Surgery, Hallym University College of Medicine, Chuncheon, Korea
| | - Hee Jin Kim
- Department of Otolaryngology-Head and Neck Surgery, Hallym University College of Medicine, Chuncheon, Korea
| | - Sung Joon Park
- Department of Otolaryngology-Head and Neck Surgery, Chung-Ang University College of Medicine, Seoul, Korea
| | - Eun Kyung Jung
- Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Medical School, Kwangju, Korea
| | - Yeon Soo Kim
- Department of Otolaryngology-Head and Neck Surgery, Konyang University College of Medicine, Daejeon, Korea
| | - Yong Tae Hong
- Department of Otolaryngology-Head and Neck Surgery, Jeonbuk National University Medical School, Jeonju, Korea
| | - Young Chan Lee
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Ho-Ryun Won
- Department of Otolaryngology-Head and Neck Surgery, Chungnam National University College of Medicine, Daejeon, Korea
| | - Sung-Chan Shin
- Department of Otolaryngology-Head and Neck Surgery, Pusan National University School of Medicine, Yangsan, Korea
| | - Seung-Kuk Baek
- Department of Otolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea
| | - Soon Young Kwon
- Department of Otolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea
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10
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Zhao F, Wang P, Yu C, Song X, Wang H, Fang J, Zhu C, Li Y. A LASSO-based model to predict central lymph node metastasis in preoperative patients with cN0 papillary thyroid cancer. Front Oncol 2023; 13:1034047. [PMID: 36761950 PMCID: PMC9905414 DOI: 10.3389/fonc.2023.1034047] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
Introduction Central lymph node metastasis (CLNM) is common in papillary thyroid carcinoma (PTC). Prophylactic central lymph node dissection (PCLND) in clinically negative central compartment lymph node (cN0) PTC patients is still controversial. How to predict CLNM before the operation is very important for surgical decision making. Methods In this article, we retrospectively enrolled 243 cN0 PTC patients and gathered data including clinical characteristics, ultrasound (US) characteristics, pathological results of fine-needle aspiration (FNA), thyroid function, eight gene mutations, and immunoenzymatic results. Least absolute shrinkage and selection operator (LASSO) analysis was used for data dimensionality reduction and feature analysis. Results According to the results, the important predictors of CLNM were identified. Multivariable logistic regression analysis was used to establish a new nomogram prediction model. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) curve were used to evaluate the performance of the new prediction model. Discussion The new nomogram prediction model was a reasonable and reliable model for predicting CLNM in cN0 PTC patients, but further validation is warranted.
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Affiliation(s)
- Feng Zhao
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Wang
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaoran Yu
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefei Song
- Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Fang
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenfang Zhu
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Yousheng Li, ; Chenfang Zhu,
| | - Yousheng Li
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Yousheng Li, ; Chenfang Zhu,
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11
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Chang L, Zhang Y, Zhu J, Hu L, Wang X, Zhang H, Gu Q, Chen X, Zhang S, Gao M, Wei X. An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study. Front Endocrinol (Lausanne) 2023; 14:964074. [PMID: 36896175 PMCID: PMC9990492 DOI: 10.3389/fendo.2023.964074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 02/10/2023] [Indexed: 02/23/2023] Open
Abstract
OBJECTIVE Central lymph node metastasis (CLNM) is a predictor of poor prognosis for papillary thyroid carcinoma (PTC) patients. The options for surgeon operation or follow-up depend on the state of CLNM while accurate prediction is a challenge for radiologists. The present study aimed to develop and validate an effective preoperative nomogram combining deep learning, clinical characteristics and ultrasound features for predicting CLNM. MATERIALS AND METHODS In this study, 3359 PTC patients who had undergone total thyroidectomy or thyroid lobectomy from two medical centers were enrolled. The patients were divided into three datasets for training, internal validation and external validation. We constructed an integrated nomogram combining deep learning, clinical characteristics and ultrasound features using multivariable logistic regression to predict CLNM in PTC patients. RESULTS Multivariate analysis indicated that the AI model-predicted value, multiple, position, microcalcification, abutment/perimeter ratio and US-reported LN status were independent risk factors predicting CLNM. The area under the curve (AUC) for the nomogram to predict CLNM was 0.812 (95% CI, 0.794-0.830) in the training cohort, 0.809 (95% CI, 0.780-0.837) in the internal validation cohort and 0.829(95%CI, 0.785-0.872) in the external validation cohort. Based on the analysis of the decision curve, our integrated nomogram was superior to other models in terms of clinical predictive ability. CONCLUSION Our proposed thyroid cancer lymph node metastasis nomogram shows favorable predictive value to assist surgeons in making appropriate surgical decisions in PTC treatment.
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Affiliation(s)
- Luchen Chang
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yanqiu Zhang
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Jialin Zhu
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Linfei Hu
- Department of Thyroid and Neck Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Xiaoqing Wang
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Haozhi Zhang
- Department of Thyroid and Neck Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Qing Gu
- Department of Ultrasonography, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine of Hebei Province, Cangzhou, Hebei, China
| | - Xiaoyu Chen
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Sheng Zhang
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Ming Gao
- Department of Thyroid and Neck Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- Department of Breast and Thyroid Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Xi Wei
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Xi Wei,
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12
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Si L, Mei H, Wang Q, Wang F, Sha S, He Z, Ke J. Surgical outcomes of different approaches to dissection of lymph nodes posterior to right recurrent laryngeal nerve: a retrospective comparative cohort study of endoscopic thyroidectomy via the areolar approach and via the axillo-breast approach. Gland Surg 2022; 11:1936-1945. [PMID: 36654954 PMCID: PMC9840993 DOI: 10.21037/gs-22-661] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
Background The American Thyroid Association (ATA) points out that lymph nodes posterior to right recurrent laryngeal nerve (LN-prRLN) should be routinely dissected. Due to the high risk of nerve injury, the lymph nodes in this area are difficult to dissect thoroughly. Although there are many approaches to endoscopic thyroidectomy, no study has been conducted on which one is more suitable. The purpose of this study was to evaluate the safety, thoroughness, related trauma, and feasibility of two widely used endoscopic thyroidectomy approaches, so as to provide a basis for the surgeon to select a better surgical approach. Methods This retrospective study included patients who underwent ETA (n=26) and ETAB (n=36). All patients had a pathological diagnosis of papillary thyroid carcinoma (PTC) and underwent endoscopic right thyroidectomy from May 2015 to February 2022 in the Affiliated Hospital of Nantong University. The basic clinical data and surgical outcomes of the two groups were compared. Results There was no statistical difference between the two groups in basic clinical data and oncological characteristics, which meant that the baseline data of the two groups of patients were comparable. Significant statistical significance was observed in the operation duration (149.38±44.15 vs. 119.22±45.48 min, P=0.011), drainage volume 24 h after operation (95.54±16.79 vs. 54.46±15.11 mL, P<0.001), visual analog score (VAS) 24 h after operation (3.69±1.44 vs. 2.25±1.32, P<0.001), hospitalization duration after the operation (3.19±0.75 vs. 2.25±0.44 days, P<0.001), number of lymph node dissections after right recurrent laryngeal nerve resection (0.96±1.08 vs. 2.06±1.77, P=0.007), and number of lymph node metastases after right recurrent laryngeal nerve resection (0.12±0.33 vs. 0.58±1.00, P=0.025). Besides, there was no significant difference in the numbers of central lymph node dissections and central lymph node metastases. Conclusions Our study indicated that compared with ETA, ETAB may perform a more efficient dissection of the LN-prRLN based on less surgical trauma, which could provide a basis for the surgeon to select a better surgical approach.
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Affiliation(s)
- Luyi Si
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Haijun Mei
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Quhui Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Feiran Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Shengnan Sha
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Zhixian He
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Jing Ke
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
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Zou Y, Shi Y, Sun F, Liu J, Guo Y, Zhang H, Lu X, Gong Y, Xia S. Extreme gradient boosting model to assess risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual prediction using SHapley Additive exPlanations. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 225:107038. [PMID: 35930861 DOI: 10.1016/j.cmpb.2022.107038] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 07/02/2022] [Accepted: 07/22/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND AND OBJECTIVES Central cervical lymph node metastasis (CLNM) is considered a risk factor for recurrence in patients with papillary thyroid carcinoma (PTC). Traditional machine learning models suffered from "black-box" problems, which could not exactly explain the interactive effects of the risk factors. We aimed to develop an eXtreme Gradient Boosting (XGBoost) model to assess CLNM, including positive and negative effects. METHODS 1,122 patients with PTC admitted at Tianjin First Central Hospital from 2016 to 2020 were retrospectively selected. They were randomly divided into the training and test datasets with an 8:2 ratio. 108 patients with PTC admitted at Binzhou Medical University Hospital in 2020 served as the validation dataset. The XGBoost model was used to assess CLNM. The 10-fold cross-validation was utilized for model selection, and the metric used to evaluate classification performance was the average area under the curve (AUC) of 10-fold cross-validation. Interpretation and transparency of the "black-box" problem were performed. SHapley Additive exPlanations (SHAP) and local interpretable model-agnostic explanation (LIME) were used to ensure the stability and reliability of the model. RESULTS The XGBoost model based on ultrasound and dual-energy computed tomography images of the solitary primary lesion had an excellent performance for assessing CLNM, with average AUCs of 0.918, 0.903, and 0.881 in the training, test, and validation datasets, respectively. SHAP plots showed the influence of each parameter on the XGBoost model, including positive (i.e., capsular invasion, diameter, iodine concentration in the venous phase, and calcification) and negative (i.e., sex and age) impacts. For all cases, the capsular invasion prediction weight was the highest; for individual cases, different predictors were assigned different weights. Moreover, the performance of the XGBoost model was better than classical machine-learning models. CONCLUSIONS This study developed and validated an XGBoost model for assessing CLNM in patients with PTC. The ability to visually interpret the positive and negative effects made the XGBoost model an effective tool for guiding clinical treatment.
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Affiliation(s)
- Ying Zou
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China; Department of Radiology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China
| | - Yan Shi
- Department of Ultrasonography, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou City, Shandong 256603, China
| | - Fang Sun
- Department of Ultrasonography, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou City, Shandong 256603, China
| | - Jihua Liu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China; Department of Radiology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China
| | - Yu Guo
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Nankai District, Tianjin 300192, China
| | - Huanlei Zhang
- Department of Radiologist, Yidu central hospital of Weifang, No. 4138 LingLongShan nan Road, Qing Zhou City, Shandong, 262500, China
| | - Xiudi Lu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China; Department of Radiology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China
| | - Yan Gong
- Department of Radiology, Tianjin Hospital of ITCWM Nan Kai Hospital, No.6 Changjiang Road, Nan Kai District, Tianjin 300100, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Nankai District, Tianjin 300192, China.
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Zhang Q, Qu KP, Wang ZS, Gao JW, Zhang YP, Cao WJ. Clinical application of parathyroid autotransplantation in endoscopic radical resection of thyroid carcinoma. Front Oncol 2022; 12:942488. [PMID: 35992841 PMCID: PMC9386417 DOI: 10.3389/fonc.2022.942488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/13/2022] [Indexed: 11/21/2022] Open
Abstract
Purpose This study aimed to examine the effect of selective inferior parathyroid gland autotransplantation on central lymph node dissection(CLND) and incidence of postoperative hypoparathyroidism in patients undergoing endoscopic radical resection of thyroid carcinoma. Methods The data of 310 patients undergoing endoscopic radical resection of thyroid carcinoma will be retrospectively analyzed. The patients will be divided into the experimental group and the control group according to whether they combined with parathyroid autotransplantation. Statistics of the incidence rate of postoperative hypoparathyroidism, the concentration of PTH and Calcium in the systemic circulation at different time points in the two groups, the concentration of PTH in the cubital fossa vein in the transplantation region in the experimental group, and the number of central lymph nodes and positive lymph nodes dissection will be carried out. Results The incidence rate of temporary and permanent hypoparathyroidism in the experimental group was 33.75% and 0.625%, respectively, and in the control group was 22% and 5%, respectively; its difference was statistically significant (X2 = 10.255, P=0.006). Parathyroid autotransplantation increased incidence of transient hypoparathyroidism (OR, 1.806; Cl, 1.088-2.998; P=0.022), and lower incidence of permanent hypoparathyroidism (OR, 0.112; Cl, 0.014-0.904; P=0.040). The diameters of thyroid cancer nodules was not associated with the occurrence of transient hypoparathyroidism (OR, 0.769; Cl, 0.467-1.265; P=0.301) or permanent hypoparathyroidism (OR, 1.434; Cl, 0.316-6.515; P=0.641). Comparison of systemic circulation PTH, between the two groups showed that the PTH of patients in the experimental group was higher than that in the control group from 1 week to 12 months after the operation, and the difference was statistically significant (P<0.05). In the experimental group, from 1 week to 12 months after surgery, PTH concentrations was significantly higher in the cubital fossa of the transplantation side than in the contralateral side, and the differences were statistically significant (P<0.05). The mean number of central lymph node dissected per patient was significantly higher in the experimental group (7.94 ± 3.03 vs. 6.99 ± 2.86; P <0.05); The mean number of positive nodes per patient was significantly higher in the experimental group (3.16 ± 1.86 vs. 2.53 ± 1.59; P <0.05). Conclusions In endoscopic radical resection of thyroid carcinoma, parathyroid autotransplantation is more beneficial to postoperative parathyroid glands function recovery, effectively preventing postoperative permanent hypoparathyroidism and realizing more thorough CLND.
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Affiliation(s)
- Qi Zhang
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, China
| | - Kun-Peng Qu
- Department of General Surgery, Gansu Provincial People’s Hospital, Lanzhou, China
- *Correspondence: Kun-Peng Qu,
| | - Ze-Sheng Wang
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jing-Wei Gao
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, China
| | - Yu-Peng Zhang
- Department of General Surgery, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Wei-Jia Cao
- Department of General Surgery, Gansu Provincial People’s Hospital, Lanzhou, China
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15
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Cappellacci F, Canu GL, Lai ML, Lori E, Biancu M, Boi F, Medas F. Association between hashimoto thyroiditis and differentiated thyroid cancer: A single-center experience. Front Oncol 2022; 12:959595. [PMID: 35965566 PMCID: PMC9366466 DOI: 10.3389/fonc.2022.959595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 06/30/2022] [Indexed: 12/29/2022] Open
Abstract
Hashimoto’s thyroiditis is the most common cause of hypothyroidism in the iodine-sufficient areas of the world. Differentiated thyroid cancer is the most common thyroid cancer subtype, accounting for more than 95% of cases, and it is considered a tumor with a good prognosis, although a certain number of patients experience a poor clinical outcome. Hashimoto’s thyroiditis has been found to coexist with differentiated thyroid cancer in surgical specimens, but the relationship between these two entities has not yet been clarified. Our study aims to analyze the relationship between these two diseases, highlighting the incidence of histological diagnosis of Hashimoto thyroiditis in differentiated thyroid cancer patients, and assess how this autoimmune disorder influences the risk of structural disease recurrence and recurrence rate.
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Affiliation(s)
- Federico Cappellacci
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
- *Correspondence: Federico Cappellacci,
| | - Gian Luigi Canu
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
| | - Maria Letizia Lai
- Department of Cytomorphology, University of Cagliari, Cagliari, Italy
| | - Eleonora Lori
- Department of Surgical Science, Sapienza University of Rome, Rome, Italy
| | - Miriam Biancu
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
| | - Francesco Boi
- Endocrinology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Fabio Medas
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
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Lymph Node Metastases Identified at the Post-Ablation 131I SPECT/CT Scan Is a Prognostic Factor of Intermediate-Risk Papillary Thyroid Cancer. Diagnostics (Basel) 2022; 12:diagnostics12051254. [PMID: 35626409 PMCID: PMC9140362 DOI: 10.3390/diagnostics12051254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 11/23/2022] Open
Abstract
The intermediate-risk category of papillary thyroid cancer (PTC) comprises heterogeneous patients within a wide range of stages and varied care management. Understanding the risk features of recurrence observed after the initial therapy should be emphasized. We aimed to evaluate the prognostic significance of radioactive iodine-avid lymph nodes observed during the initial treatment of patients with PTC that were considered to be at intermediate risk. Data on patients with intermediate-risk PTC treated from 2012 to 2018 were retrospectively reviewed. Post-therapeutic SPECT/CT (Rx SPECT/CT) was evaluated in the enrolled patients. The clinical, pathologic, and incidence of radioiodine-avid (RAI-avid) lymph node metastasis (mLN) on Rx SPECT/CT were reviewed, and risk factors related to recurrent disease were analyzed. After a median follow-up of 37.26 (30.90, 46.33) months, structural persistent/recurrent disease was detected in 9.81% (36/367) of patients with intermediate-risk tumors. The incidence of recurrence was higher in patients who demonstrated RAI-avid mLN after the initial therapy than in those who did not (p < 0.001). In a multivariate Cox proportional hazard regression analysis, RAI-avid mLN appeared to be a robust risk factor for recurrent disease after the initial therapy (HR: 8.967, 95% CI: 3.433−23.421, p = 0.000). RAI-avid mLN is a significant risk factor for recurrent intermediate-risk PTC after the initial treatment.
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Wen X, Jin Q, Cen X, Qiu M, Wu Z. Clinicopathologic predictors of central lymph node metastases in clinical node-negative papillary thyroid microcarcinoma: a systematic review and meta-analysis. World J Surg Oncol 2022; 20:106. [PMID: 35365171 PMCID: PMC8976349 DOI: 10.1186/s12957-022-02573-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/18/2022] [Indexed: 12/26/2022] Open
Abstract
Background The presence of central lymph node metastases (CLNM) has been suggested as a risk factor for poorer prognosis and recurrence in papillary thyroid microcarcinoma (PTMC). However, the clinicopathologic factors for CLNM in clinical node-negative (CN0) PTMC were not well defined. This study aimed to perform a systematic review and meta-analysis to investigate the significant clinicopathologic predictors of CLNM in CN0 PTMC. Methods A systematic literature search was performed in PubMed, Embase, Cochrane Library, and Web of Science. Case-control studies on the association of clinicopathologic risk factors with CLNM in CN0 PTMC were included. Results Thirteen eligible studies involving 6068 patients with CN0 PTMC were included. From the pooled analyses, male (odds ratio [OR]: 2.07, 95% CI: 1.49–2.87, P < 0.001), multifocality (OR: 1.88, 95% CI: 1.54–2.29, P < 0.001), tumor size > 5 mm (OR: 1.84, 95% CI: 1.55–2.18, P < 0.001), and extrathyroidal extension (OR: 1.96, 95% CI: 1.30–2.95, P = 0.001) are significantly associated with increased risk of CLNM in CN0 PTMC. A sample size with a cutoff point of 200 was identified as the source of heterogeneity for sex according to meta-regression (t = 3.18, P = 0.033). Then, the subgroup analysis of male was performed, which illustrated that male increased the risk of CLNM in the small sample group (SG) and the large sample group (LG) by 6.11-folds and 2.01-folds, respectively (SG: OR, 6.11, 95% CI, 3.16–11.81, P < 0.001; LG: OR, 2.01, 95% CI, 1.65–2.46, P < 0.001). Conclusions Male, multifocality, tumor size > 5 mm, and extrathyroidal extension may be reliable clinical predictors of CLNM in CN0 PTMC. Moreover, prophylactic central lymph node dissection should be considered in surgical decision-making for CN0 PTMC patients, who are male, multifocal, with tumor size > 5 mm, and with extrathyroidal extension. Trial registration CRD42021242211 (PROSPERO) Supplementary Information The online version contains supplementary material available at 10.1186/s12957-022-02573-7.
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Affiliation(s)
- Xingzhu Wen
- Department of General Surgery, 72nd Group Army Hospital, Huzhou University, Huzhou, Zhejiang, 313000, China
| | - Qianmei Jin
- Department of Rheumatology and Immunology, Changzheng Hospital affiliated to the Second Military Medical University, Shanghai, 200003, China
| | - Xiaoxia Cen
- Department of General Surgery, Changzheng Hospital affiliated to the Second Military Medical University, Shanghai, 200003, China
| | - Ming Qiu
- Department of General Surgery, Changzheng Hospital affiliated to the Second Military Medical University, Shanghai, 200003, China.
| | - Zhihong Wu
- Department of General Surgery, 72nd Group Army Hospital, Huzhou University, Huzhou, Zhejiang, 313000, China.
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Li J, Sun P, Huang T, Li L, He S, Ai X, Xiao H, Xue G. Preoperative prediction of central lymph node metastasis in cN0T1/T2 papillary thyroid carcinoma: A nomogram based on clinical and ultrasound characteristics. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2022; 48:1272-1279. [DOI: 10.1016/j.ejso.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/06/2022] [Accepted: 04/02/2022] [Indexed: 11/25/2022]
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Parvathareddy SK, Siraj AK, Ahmed SO, DeVera F, Al-Sobhi SS, Al-Dayel F, Al-Kuraya KS. Risk Factors for Central Lymph Node Metastases and Benefit of Prophylactic Central Lymph Node Dissection in Middle Eastern Patients With cN0 Papillary Thyroid Carcinoma. Front Oncol 2022; 11:819824. [PMID: 35111686 PMCID: PMC8801573 DOI: 10.3389/fonc.2021.819824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 12/27/2021] [Indexed: 11/26/2022] Open
Abstract
Background Prophylactic central lymph node dissection (PCLND) for adult patients with papillary thyroid carcinoma (PTC) is still a matter of debate. Data on incidence, risk and benefits of PCLND in Middle Eastern patients is lacking. Therefore, we aimed to identify the incidence and predictive clinico-pathological and molecular marker of PCLND in adult patients with clinically node negative (cN0) Middle Eastern PTC. Methods This retrospective study included 942 adult Middle Eastern patients with cN0 PTC who underwent total thyroidectomy (TT) or TT+PCLND. Clinico-pathological associations of central lymph node metastasis (CLNM) were assessed. Multivariate analysis was performed using logistic regression and Cox proportional hazards model. Results 213 patients underwent PCLND and 38.0% (81/213) had positive CLNM. Multivariate analysis demonstrated age ≤55 years (Odds Ratio (OR) = 7.38; 95% Confidence Interval (CI) = 1.59 – 34.31; p = 0.0108), tumor bilaterality (OR = 3.01; 95% CI = 1.01 – 9.21; p = 0.0483), lymphovascular invasion (OR = 2.92; 95% CI = 1.18 – 7.23; p = 0.0206) and BRAF mutation (OR = 3.24; 95% CI = 1.41 – 7.49; p = 0.0058) were independent predictors of CLNM in adult PTC. Furthermore, patients who underwent PCLND showed significant association with improved recurrence-free survival (RFS; p = 0.0379). Multivariate analysis demonstrated that PCLND was an independent predictor of improved recurrence-free survival. Conclusions cN0 Middle Eastern PTC patients treated with PCLND showed a significantly better prognosis. PCLND was effective in improving RFS in Middle Eastern PTC patients and should be encouraged for patients with potential risk factors for CLNM.
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Affiliation(s)
- Sandeep Kumar Parvathareddy
- Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Abdul K Siraj
- Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Saeeda O Ahmed
- Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Felisa DeVera
- Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Saif S Al-Sobhi
- Department of Surgery, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Fouad Al-Dayel
- Department of Pathology, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Khawla S Al-Kuraya
- Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
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Zhong X, Lu Y, Yin X, Wang Q, Wang F, He Z. Prophylactic central lymph node dissection performed selectively with cN0 papillary thyroid carcinoma according to a risk-scoring model. Gland Surg 2022; 11:378-388. [PMID: 35284301 PMCID: PMC8899424 DOI: 10.21037/gs-21-906] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/11/2022] [Indexed: 07/28/2023]
Abstract
BACKGROUND This study aimed to explore the risk factors of central lymph node metastasis (CLNM) in patients with clinical central lymph node-negative papillary thyroid carcinoma (PTC), and emphasize the guidance of the risk scoring model for prophylactic central lymph node dissection (pCLND) in patients with clinical lymph node-negative (cN0) PTC. METHODS A total of 582 patients with cN0 PTC who underwent unilateral/bilateral thyroidectomy and prophylactic central lymph node dissection (pCLND) in the Affiliated Hospital of Nantong University from January 2020 to February 2021 were retrospectively analyzed. Univariate and multivariate analyses were performed to determine the risk factors of cN0 PTC. According to the independent risk factors of patients with cN0 PTC, a risk-scoring model was established. Then, the rationality of this risk scoring model was verified by additional clinical data of 112 patients with cN0 PTC in the Affiliated Hospital of Nantong University from March 2021 to April 2021. RESULTS Among 582 cases of cN0 PTC, 53.6% of the patients with cN0 had CLNM. The independent risk factors for CLNM in patients with cN0 PTC included male gender, <45 years of age, tumor with a maximum diameter of ≥1.0 cm, tumor location: middle/lower poles of the thyroid gland, multifocality, and extrathyroidal extension (ETE), and some ultrasound features, such as intra-nodular vascularity, microcalcification, irregular shape, and infiltrative margin. According to independent risk factors, a 24-point risk scoring model was established to predict CLNM in patients with cN0 PTC. CONCLUSIONS Currently, prophylactic central neck lymph node dissection is a controversial operation, which should be selectively performed only for high-risk patients with cN0 PTC. For cN0 PTC patients with scores ≥14 and high-risk patients, even if no CLNM is found before surgery, routine prophylactic CLND is recommended. In addition, for cN0 PTC patients with a score of fewer than 14 points, it is recommended to perform fine-needle aspiration (FNA) before surgery, carefully assess the condition of the central lymph nodes, and then select the best surgical plan based on the results of the assessment.
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Affiliation(s)
- Xiang Zhong
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China
| | - Yunpeng Lu
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China
| | - Xu Yin
- Department of Hepatobiliary and Pancreatic Surgery, Changzhou No.2 People’s Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Quhui Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China
| | - Feiran Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China
| | - Zhixian He
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China
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Jin P, Chen J, Dong Y, Zhang C, Chen Y, Zhang C, Qiu F, Zhang C, Huang P. Ultrasound-based radiomics nomogram combined with clinical features for the prediction of central lymph node metastasis in papillary thyroid carcinoma patients with Hashimoto's thyroiditis. Front Endocrinol (Lausanne) 2022; 13:993564. [PMID: 36060946 PMCID: PMC9439618 DOI: 10.3389/fendo.2022.993564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/08/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Hashimoto thyroiditis (HT) is the most common autoimmune thyroid disease and is considered an independent risk factor for papillary thyroid carcinoma (PTC), with a higher incidence of PTC in patients with HT. OBJECTIVE To build an integrated nomogram using clinical information and ultrasound-based radiomics features in patients with papillary thyroid carcinoma (PTC) with Hashimoto thyroiditis (HT) to predict central lymph node metastasis (CLNM). METHODS In total, 235 patients with PTC with HT were enrolled in this study, including 101 with CLNM and 134 without CLNM. They were divided randomly into training and validation datasets with a 7:3 ratio for developing and evaluating clinical features plus conventional ultrasound features (Clin-CUS) model and clinical features plus radiomics scores (Clin-RS) model, respectively. In the Clin-RS model, the Pyradiomics package (V1.3.0) was used to extract radiomics variables, and LASSO regression was used to select features and construct radiomics scores (RS). The Clin-CUS and Clin-RS nomogram models were built using logistic regression analysis. RESULTS Twenty-seven CLNM-associated radiomics features were selected using univariate analysis and LASSO regression from 1488 radiomics features and were calculated to construct the RS. The integrated model (Clin-RS) had better diagnostic performance than the Clin-CUS model for differentiating CLNM in the training dataset (AUC: 0.845 vs. 0.778) and the validation dataset (AUC: 0.808 vs. 0.751), respectively. CONCLUSION Our findings suggest that applying an ultrasound-based radiomics approach can effectively predict CLNM in patients with PTC with HT. By incorporating clinical information and RS, the Clin-RS model can achieve a high diagnostic performance in diagnosing CLNM in patients with PTC with HT.
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Affiliation(s)
- Peile Jin
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jifan Chen
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yiping Dong
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Chengyue Zhang
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yajun Chen
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Cong Zhang
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Fuqiang Qiu
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Chao Zhang
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Pintong Huang
- Department of Ultrasound in Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center of Ultrasound in Medicine and Biomedical Engineering, Zhejiang University School of Medicine Second Affiliated Hospital, Zhejiang University, Hangzhou, China
- Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou, China
- *Correspondence: Pintong Huang,
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Papillary Thyroid Cancer Prognosis: An Evolving Field. Cancers (Basel) 2021; 13:cancers13215567. [PMID: 34771729 PMCID: PMC8582937 DOI: 10.3390/cancers13215567] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/04/2021] [Accepted: 11/04/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Over the last couple of decades, the prognostic stratification systems of differentiated thyroid cancer (DTC) patients have been revised several times in an attempt to achieve a tailored clinical management reflecting the single patients’ needs. Such revisions are likely to continue in the near future, since the prognostic value of a number of promising clinicopathological features and new molecular biomarkers are being evaluated. Here, we will review the current staging systems of thyroid cancer patients and discuss the most relevant clinicopathological parameters and new molecular markers that are potentially capable of refining the prognosis. Abstract Over the last few years, a great advance has been made in the comprehension of the molecular pathogenesis underlying thyroid cancer progression, particularly for the papillary thyroid cancer (PTC), which represents the most common thyroid malignancy. Putative cancer driver mutations have been identified in more than 98% of PTC, and a new PTC classification into molecular subtypes has been proposed in order to resolve clinical uncertainties still present in the clinical management of patients. Additionally, the prognostic stratification systems have been profoundly modified over the last decade, with a view to refine patients’ staging and being able to choose a clinical approach tailored on single patient’s needs. Here, we will briefly discuss the recent changes in the clinical management of thyroid nodules, and review the current staging systems of thyroid cancer patients by analyzing promising clinicopathological features (i.e., gender, thyroid auto-immunity, multifocality, PTC histological variants, and vascular invasion) as well as new molecular markers (i.e., BRAF/TERT promoter mutations, miRNAs, and components of the plasminogen activating system) potentially capable of ameliorating the prognosis of PTC patients.
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Sun F, Zou Y, Huang L, Shi Y, Liu J, Cui G, Zhang X, Xia S. Nomogram to assess risk of central cervical lymph node metastasis in patients with cN0 papillary thyroid carcinoma. Endocr Pract 2021; 27:1175-1182. [PMID: 34174413 DOI: 10.1016/j.eprac.2021.06.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE This study developed and validated an individualized prediction risk model for the need for central cervical lymph node dissection in patients with cN0 papillary thyroid carcinoma (PTC) diagnosed by ultrasound. METHODS Upon retrospective review, derivation and internal validation cohorts comprised 1585 consecutive patients with PTC treated from January 2017 to December 2019 at Hospital A. The external validation cohort consisted of 406 consecutive patients treated at Hospital B from January 2016 to June 2020. Independent risk factors for central cervical lymph node metastasis (CLNM) were determined through univariable and multivariable logistic regression analysis. An individualized risk prediction model was constructed and illustrated as a nomogram, which was internally and externally validated. RESULTS The following risk factors of CLNM were established: the solitary primary thyroid nodule's diameter, shape, calcification, and capsular abutment-to-lesion perimeter ratio. The areas under the receiver operating characteristic curves of the risk prediction model for the internal and external validation cohorts were 0.921 and 0.923, respectively. The calibration curve showed good agreement between the nomogram-estimated probability of CLNM and the actual CLNM rate in the three cohorts. The decision curve analysis confirmed the clinical usefulness of the nomogram. CONCLUSION This study developed and validated a model for predicting risk of CLNM in the individual patient with cN0 PTC, which should be an efficient tool for guiding clinical treatment.
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Affiliation(s)
- Fang Sun
- Department of Radiology, First Central Clinical College, Tianjin Medical University, No. 24 Fu Kang Road, Nan Kai District, Tianjin 300192, China; Department of Ultrasonography, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou City, Shandong 256603, China
| | - Ying Zou
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China
| | - Lixiang Huang
- Department of Radiology, The Second Hospital of Tianjin Medical University, No. 23, Pingjiang Road, Hexi District, Tianjin 300211, China; Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fu Kang Road, Nan Kai District, Tianjin 300192, China
| | - Yan Shi
- Department of Ultrasonography, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou City, Shandong 256603, China
| | - Jihua Liu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, No. 314 Anshan West Road, Nan Kai District, Tianjin 300193, China
| | - Guanghe Cui
- Department of Ultrasonography, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou City, Shandong 256603, China
| | - Xuening Zhang
- Department of Radiology, The Second Hospital of Tianjin Medical University, No. 23, Pingjiang Road, Hexi District, Tianjin 300211, China.
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fu Kang Road, Nan Kai District, Tianjin 300192, China.
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Application of Carbon Nanoparticles in Neck Dissection of Clinically Node-Negative Papillary Thyroid Carcinoma. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6693585. [PMID: 33969124 PMCID: PMC8084638 DOI: 10.1155/2021/6693585] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 02/09/2021] [Accepted: 03/29/2021] [Indexed: 11/22/2022]
Abstract
Purpose The purpose of this retrospective study was to evaluate the advantages of carbon nanoparticles in neck dissection and to conclude its application in the treatment of clinically node-negative papillary thyroid carcinoma (CN0PTC). Methods As a retrospective cohort study, we divided the enrolled patients into two groups, the carbon nanoparticle (CN) group and the control group according to the usage of CN. In the CN group, CN was applied to reveal drainage lymph nodes and the picked LNs were sent for fast frozen testing. If metastasis exits, modified radical lateral lymph node dissection (LLND) was performed. For both groups, prophylactic central lymph node dissection was routinely done. Finally, the demographic information, tumor characteristics, postoperative pathological results, and laboratory data were collected for analysis. Results A total of 61 CN0PTC were enrolled in this study, 33 in the CN group and 28 in the control group. The black-stained rate for CN was 29/40 (72.5%) with a positive prediction rate of 34.5%. The mainly black-stained region in the lateral neck was level III and possesses the highest lymph node ratio (17.5%). The metastasis that occurred in level VI was 30% and 11.8% in the CN and control groups, respectively (p = 0.058). During the available follow-up, no one showed recurrence. Statistical analysis showed that the CN suspension can significantly reduce the risk of damage to the parathyroid gland (p = 0.001 for hypocalcemia, <0.05; p = 0.047 for hypoparathyroidism, <0.05). Conclusion The lateral neck metastasis in patients with papillary thyroid microcarcinoma in clinical stage cT1aN0 is not rare. CN can help surgeons to distinguish the real person who actually needs LLND. In prophylactic CLND, CN acts as a tracer which makes the parathyroid gland more identifiable and avoids risks of injuries to nerves and glands.
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Zhu J, Zheng J, Li L, Huang R, Ren H, Wang D, Dai Z, Su X. Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma. Front Med (Lausanne) 2021; 8:635771. [PMID: 33768105 PMCID: PMC7986413 DOI: 10.3389/fmed.2021.635771] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/15/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose: While there are no clear indications of whether central lymph node dissection is necessary in patients with T1-T2, non-invasive, clinically uninvolved central neck lymph nodes papillary thyroid carcinoma (PTC), this study seeks to develop and validate models for predicting the risk of central lymph node metastasis (CLNM) in these patients based on machine learning algorithms. Methods: This is a retrospective study comprising 1,271 patients with T1-T2 stage, non-invasive, and clinically node negative (cN0) PTC who underwent surgery at the Department of Endocrine and Breast Surgery of The First Affiliated Hospital of Chongqing Medical University from February 1, 2016, to December 31, 2018. We applied six machine learning (ML) algorithms, including Logistic Regression (LR), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGBoost), Random Forest (RF), Decision Tree (DT), and Neural Network (NNET), coupled with preoperative clinical characteristics and intraoperative information to develop prediction models for CLNM. Among all the samples, 70% were randomly selected to train the models while the remaining 30% were used for validation. Indices like the area under the receiver operating characteristic (AUROC), sensitivity, specificity, and accuracy were calculated to test the models' performance. Results: The results showed that ~51.3% (652 out of 1,271) of the patients had pN1 disease. In multivariate logistic regression analyses, gender, tumor size and location, multifocality, age, and Delphian lymph node status were all independent predictors of CLNM. In predicting CLNM, six ML algorithms posted AUROC of 0.70–0.75, with the extreme gradient boosting (XGBoost) model standing out, registering 0.75. Thus, we employed the best-performing ML algorithm model and uploaded the results to a self-made online risk calculator to estimate an individual's probability of CLNM (https://jin63.shinyapps.io/ML_CLNM/). Conclusions: With the incorporation of preoperative and intraoperative risk factors, ML algorithms can achieve acceptable prediction of CLNM with Xgboost model performing the best. Our online risk calculator based on ML algorithm may help determine the optimal extent of initial surgical treatment for patients with T1-T2 stage, non-invasive, and clinically node negative PTC.
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Affiliation(s)
- Jiang Zhu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinxin Zheng
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Longfei Li
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Rui Huang
- Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haoyu Ren
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University, Munich, Germany
| | - Denghui Wang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhijun Dai
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xinliang Su
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Tan HL, Huang BQ, Li GY, Wei B, Chen P, Hu HY, Liu M, Ou-Yang DJ, Yang Q, Qin ZE, Shi QM, Li N, Huang P, Chang S. A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer. Int J Endocrinol 2021; 2021:6621067. [PMID: 34306071 PMCID: PMC8263281 DOI: 10.1155/2021/6621067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/21/2021] [Accepted: 06/21/2021] [Indexed: 12/24/2022] Open
Abstract
The health problems caused by the frequent relapse of papillary thyroid carcinoma (PTC) remain a worldwide concern since the morbidity rate of PTC ranks the highest among thyroid cancers. Residues from contralateral central lymph node metastases (con-CLNM) are the key reason for persistence or recurrence of unilateral papillary thyroid carcinoma (uni-PTC); however, the ability to assess the status of con-CLNM in uni-PTC patients is limited. To clarify the risk factors of con-CLNM, a total of 250 patients with uni-PTC who underwent total thyroidectomy and bilateral central lymph node dissection were recruited in this study. We compared the clinical, sonographic, and pathological characteristics of patients with con-CLNM to those without con-CLNM and established a nomogram for con-CLNM in uni-PTC. We found that male sex, without Hashimoto's thyroiditis, present capsular invasion, with ipsilateral lateral lymph node metastases, and the ratio of ipsilateral central lymph node metastases ≥0.16 were independent con-CLNM predictors of uni-PTC (ORs: 2.797, 0.430, 2.538, 2.202, and 26.588; 95% CIs: 1.182-6.617, 0.211-0.876, 1.223-5.267, 1.064-4.557, and 7.596-93.069, respectively). Additionally, a preoperative nomogram for the prediction of con-CLNM based on these risk factors showed good discrimination (C-index 0.881; 95% CI: 0.840-0.923; sensitivity 85.3%; specificity 76.0%) and good agreement via the calibration plot. Our study provided a way to quantitatively and accurately predict whether con-CLNM occurred in patients with uni-PTC, which may guide surgeons to evaluate the nodal status and perform tailored therapeutic central lymph node dissection.
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Affiliation(s)
- Hai-Long Tan
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Bo-Qiang Huang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Gui-You Li
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Bo Wei
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Pei Chen
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Hui-Yu Hu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Mian Liu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Deng-Jie Ou-Yang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Qiong Yang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Zi-En Qin
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Qi-Man Shi
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Ning Li
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Peng Huang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
| | - Shi Chang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha 410008, Hunan, China
- Clinical Research Center For Thyroid Disease In Hunan Province, Changsha, Hunan, China
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Wang Y, Deng C, Shu X, Yu P, Wang H, Su X, Tan J. Risk Factors and a Prediction Model of Lateral Lymph Node Metastasis in CN0 Papillary Thyroid Carcinoma Patients With 1-2 Central Lymph Node Metastases. Front Endocrinol (Lausanne) 2021; 12:716728. [PMID: 34721289 PMCID: PMC8555630 DOI: 10.3389/fendo.2021.716728] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 09/23/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Papillary thyroid cancer (PTC) in clinically lymph node-negative (cN0) patients is prone toward lymph node metastasis. As a risk factor for tumor persistence and local recurrence, lateral lymph node metastasis (LLNM) is related to the number of central lymph node metastases (CLNMs). METHODS We performed LLNM risk stratification based on the number of CLNMs for cN0 PTC patients who underwent thyroidectomy and lymph node dissection between January 2013 and December 2018. A retrospective analysis was applied to the 274 collected patients with 1-2 CLNMs. We examined the clinicopathological characteristics of the patients and constructed a LASSO model. RESULTS In the 1-2 CLNM group, tumors >10 mm located in the upper region and nodular goiters were independent risk factors for LLNM. Specifically, tumors >20 mm and located in the upper region contributed to metastasis risk at level II. Hashimoto's thyroiditis reduced this risk (p = 0.045, OR = 0.280). Age ≤ 30 years and calcification (microcalcification within thyroid nodules) correlated with LLNM. The LASSO model divided the population into low- (25.74%) and high-risk (57.25%) groups for LLNM, with an AUC of 0.715. CONCLUSIONS For patients with 1-2 CLNMs, young age, calcification, nodular goiter, tumor >10 mm, and tumor in the upper region should alert clinicians to considering a higher occult LLNM burden. Close follow-up and therapy adjustment may be warranted for high-risk patients.
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Affiliation(s)
- Yuanyuan Wang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chang Deng
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiujie Shu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ping Yu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huaqiang Wang
- Department of Hepatobiliary, Breast and Thyroid Surgery, The People’s Hospital of Nanchuan, Chongqing, China
| | - Xinliang Su
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Xinliang Su, ; Jinxiang Tan,
| | - Jinxiang Tan
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Xinliang Su, ; Jinxiang Tan,
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Chen S, Niu C, Peng Q, Tang K. Sonographic Characteristics of Papillary Thyroid Carcinoma With Coexistent Hashimoto's Thyroiditis in the Preoperative Prediction of Central Lymph Node Metastasis. Front Endocrinol (Lausanne) 2021; 12:556851. [PMID: 33796065 PMCID: PMC8008373 DOI: 10.3389/fendo.2021.556851] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 02/23/2021] [Indexed: 01/29/2023] Open
Abstract
The purpose of this study was to evaluate the usefulness of the sonographic characteristics of papillary thyroid carcinoma (PTC) with Hashimoto's thyroiditis (HT) for predicting central lymph node metastasis (CLNM). One hundred thirty-three patients who underwent thyroidectomy and central cervical lymph node dissection for PTC with coexistent HT were retrospectively analyzed. All PTCs with HT were preoperatively evaluated by ultrasound (US) regarding their nodular number, size, component, shape, margin, echogenicity, calcification, capsule contact with protrusion, vascularity and contrast enhanced ultrasound (CEUS) parameters. Univariate analysis demonstrated that patients with PTCs with HT and CLNM more frequently had age ≤ 45 years, size > 10 mm, a wider than tall shape, microcalcification, hypo-enhancement and peak intensity index < 1 than those without CLNM (all p<0.05). Binary logistic regression analysis demonstrated that size > 10 mm and CEUS hypo-enhancement were independent characteristics for the presence of CLNM. Our study indicated that preoperative US characteristics could offer help in predicting CLNM in PTCs with coexistent HT.
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Affiliation(s)
- Sijie Chen
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Ultrasonography, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chengcheng Niu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Ultrasonography, The Second Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Chengcheng Niu,
| | - Qinghai Peng
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Ultrasonography, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Kui Tang
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Ultrasonography, The Second Xiangya Hospital, Central South University, Changsha, China
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