Prediction model for lymph node metastasis in the right lateral region of papillary thyroid carcinoma.

IF 3.7 3区 医学 Q2 Medicine
Jiabo Qin, Haoran Ding, Weijun Jing, Yudong Qiu, Jianfeng Sang
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引用次数: 0

Abstract

Objective: To compare the differences among patients with papillary thyroid carcinoma (PTC) whose right lateral lymph node biopsy results indicating positive (pN1b) or negative lymph node metastasis (pN0 or pN1a) so as to explore whether there is a high risk of long-term metastasis in right lateral lymph node among patients who are classified as pN0 or pN1a at present. Only those whose preoperative ultrasound result indicating lymph node metastasis in the right lateral region (cN1b) are included. Meanwhile, to establish predictive models to help clinicians distinguish high-risk and low-risk populations and adopt different follow-up strategies.

Methods: A retrospective analysis was conducted on clinical data of patients who underwent right neck side area biopsy or dissection (cN1b) at the Affiliated Drum Tower Hospital, Medical School of Nanjing University from January 2017 to August 2022 to establish a predictive model. The model will then be validated on patients who undergo right neck lateral area biopsy or clearance from September 2022 to August 2023. Data including demographic characteristics, pathological results, and laboratory examinations were collected. The predictive model was established and evaluated by SPSS 26.0 and R 4.3.1.

Result: This study includes a total of 316 patients diagnosed with papillary thyroid carcinoma and with preoperative ultrasound indicating lymph node metastasis in the neck lateral compartment (cN1b), who were treated at the Affiliated Drum Tower Hospital, Medical School of Nanjing University from January 2017 to August 2023. The training set included 264 patients, and the validation set included 52 patients.The area under the ROC curve for the prediction model is 0.83, with a diagnostic optimal threshold of 0.595. At this threshold, the model achieves a sensitivity of 81.6% and a specificity of 75.2%. Similar results were obtained when utilizing the model on the validation set.

Conclusion: There are distinct disparities in demographics, pathological result, and laboratory examinations that can differentiate between high-risk and low-risk populations for lymph node metastasis in the right lateral region. These differences can be effectively identified by developing predictive models.

甲状腺乳头状癌右外侧淋巴结转移的预测模型。
目的:比较甲状腺乳头状癌(PTC)右侧外侧淋巴结活检结果为阳性(pN1b)或阴性淋巴结转移(pN0或pN1a)患者之间的差异,以探讨目前pN0或pN1a分类的患者右侧外侧淋巴结长期转移的风险是否较高。仅包括术前超声结果提示右侧淋巴结转移(cN1b)的患者。同时,建立预测模型,帮助临床医生区分高危人群和低危人群,采取不同的随访策略。方法:回顾性分析南京大学医学院附属鼓楼医院2017年1月至2022年8月行右颈部侧区活检或剥离(cN1b)患者的临床资料,建立预测模型。然后,该模型将在2022年9月至2023年8月期间接受右颈部外侧区活检或清除的患者身上进行验证。数据包括人口统计学特征、病理结果和实验室检查。采用SPSS 26.0和r4.3.1建立预测模型并进行评价。结果:本研究纳入2017年1月至2023年8月南京大学医学院附属鼓楼医院诊断为甲状腺乳头状癌且术前超声提示颈部外侧室淋巴结转移的患者316例。训练集包括264例患者,验证集包括52例患者。预测模型的ROC曲线下面积为0.83,诊断最佳阈值为0.595。在此阈值下,该模型的灵敏度为81.6%,特异性为75.2%。在验证集上使用该模型得到了类似的结果。结论:在人口统计学、病理结果和实验室检查方面存在明显差异,可以区分右侧区域淋巴结转移的高危和低危人群。这些差异可以通过开发预测模型来有效识别。
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来源期刊
Endocrine
Endocrine 医学-内分泌学与代谢
CiteScore
6.40
自引率
5.40%
发文量
0
期刊介绍: Well-established as a major journal in today’s rapidly advancing experimental and clinical research areas, Endocrine publishes original articles devoted to basic (including molecular, cellular and physiological studies), translational and clinical research in all the different fields of endocrinology and metabolism. Articles will be accepted based on peer-reviews, priority, and editorial decision. Invited reviews, mini-reviews and viewpoints on relevant pathophysiological and clinical topics, as well as Editorials on articles appearing in the Journal, are published. Unsolicited Editorials will be evaluated by the editorial team. Outcomes of scientific meetings, as well as guidelines and position statements, may be submitted. The Journal also considers special feature articles in the field of endocrine genetics and epigenetics, as well as articles devoted to novel methods and techniques in endocrinology. Endocrine covers controversial, clinical endocrine issues. Meta-analyses on endocrine and metabolic topics are also accepted. Descriptions of single clinical cases and/or small patients studies are not published unless of exceptional interest. However, reports of novel imaging studies and endocrine side effects in single patients may be considered. Research letters and letters to the editor related or unrelated to recently published articles can be submitted. Endocrine covers leading topics in endocrinology such as neuroendocrinology, pituitary and hypothalamic peptides, thyroid physiological and clinical aspects, bone and mineral metabolism and osteoporosis, obesity, lipid and energy metabolism and food intake control, insulin, Type 1 and Type 2 diabetes, hormones of male and female reproduction, adrenal diseases pediatric and geriatric endocrinology, endocrine hypertension and endocrine oncology.
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