Objectives: Although lymph node (LN) metastases are not uncommon in thymic carcinomas, preoperative LN evaluation, intraoperative lymph node dissection (LND) and postoperative outcomes remain unknown. The aim of this study was to elucidate the characteristics of and outcomes in patients with thymic carcinomas and thymic neuroendocrine carcinomas undergoing LND.
Methods: A retrospective chart review was performed using our multi-institutional database to identify patients who underwent resection and LND for thymic carcinoma or thymic neuroendocrine carcinoma between 1991 and 2018. An enlarged mediastinal LN was defined as having a short-axis diameter >1 cm. We assessed survival outcomes using the Kaplan-Meier analysis.
Results: N1-level LND was performed in 41 patients (54.6%), N2-level LND in 14 patients (18.7%) and both-level LND in 16 patients (21.3%). Pathological LN metastasis was detected in 20 patients (26.7%) among the 75 patients undergoing LND. There was a significant difference in the number of LN stations (P = 0.015) and metastasis factor (P = 0.0042) between pathologically LN-positive and pathologically LN-negative patients. The sensitivity of enlarged LNs on preoperative computed tomography was 18.2%. There was a tendency towards worse overall survival of pathologically N2-positive patients, although the difference was not statistically significant (P = 0.15).
Conclusions: Preoperative CT appears to play a limited role in detecting pathological LN metastases. Our findings suggest that the significance of N1- and N2-level LND should be evaluated in prospective studies to optimize the postoperative management of patients with thymic carcinomas and neuroendocrine carcinomas.
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http://dx.doi.org/10.1093/icvts/ivab079 | DOI Listing |
Ann Surg Oncol
December 2024
Division of Hematology Oncology, Penn State College of Medicine, Hershey, PA, USA.
Background: Thymic epithelial tumor (TET) staging has been based on Masaoka-Koga systems or the 8th edition of the TNM classification, which do not use tumor size as a T descriptor. The 9th edition of the TNM classification incorporates tumor size; however, the study on which this classification is based included only 4.4% of patients from North America.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Department of Thoracic Surgery, Faculty of Medicine, Ankara Yildirim Beyazit University, 06800 Ankara, Türkiye.
Aim: This study had two aims: to analyze surgical patients with mediastinal cysts and masses according to clinical, histopathological, and surgical types; and compare the impact of the coronavirus disease 2019 (COVID-19) pandemic on these cases.
Methods: A retrospective analysis was conducted on 132 patients who had undergone surgical intervention for mediastinal cysts and masses. Demographic, clinical, and histopathologic data were recorded.
Front Surg
December 2024
Division of Thoracic Surgery, Department of Surgery, Kaiser Permanente Northern California, Oakland, CA, United States.
Though advancements have been made in the pharmacologic treatment of myasthenia gravis (MG), surgical resection is not only an option as a last line of defense for those patients who do not respond to medical therapy but also remains vital for those with thymic epithelial tumors (TET). While prior studies have shown the potential superiority of minimally invasive approaches via robotic- and video-assisted thoracoscopic surgery (RATS/VATS) for thymectomy compared to open surgery, in the setting of malignancies, this outcome delineation is controversial. As RATS/VATS may be associated with less post-operative complications in the treatment of TET, some surgeons argue that the open approach is necessary for complete resection (R0 resection) and to prevent potential seeding of the malignancy.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of Pathology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Introduction: Thymoma classification is challenging due to its diverse morphology. Accurate classification is crucial for diagnosis, but current methods often struggle with complex tumor subtypes. This study presents an AI-assisted diagnostic model that combines weakly supervised learning with a divide-and-conquer multi-instance learning (MIL) approach to improve classification accuracy and interpretability.
View Article and Find Full Text PDFIntern Med
December 2024
Department of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Japan.
A 59-year-old woman presented with multiple mediastinal masses 6 months after post-thymectomy for type B2 thymoma. A diagnosis of small-cell carcinoma (SmCC) via a computed tomography-guided biopsy and fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography revealed no primary lesions outside the anterior mediastinum. The pathologically reevaluated post-thymectomy specimen showed no neuroendocrine differentiation.
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