Investigating the predictive factors of thoracic aortic invasion and surgical outcomes in patients with primary lung cancer : A retrospective study

© 2024 The Authors. Thoracic Cancer published by John Wiley & Sons Australia, Ltd..

BACKGROUND: This study aimed to investigate predictors of thoracic aortic invasion in lung cancer patients using preoperative clinical and imaging characteristics and elucidate surgical outcomes in cases of aortic invasion.

METHODS: Of the 4751 lung cancer patients who underwent surgery at our hospital, we included 126 (6.8%) who underwent left-sided surgery and in whom tumor appeared to be in contact with the thoracic aorta on preoperative imaging. The patients were divided into two groups: group A, 23 patients (18%) who underwent combined aortic resection (+); group B, 103 patients (82%) who did not undergo combined aortic resection (-).

RESULTS: The percentage of aortic invasion for tumor diameter <3 cm, 3-4 cm, 4-5 cm, 5-7 cm, and >7 cm was 0%, 13%, 23%, 16%, and 35%, respectively. The percentages of aortic invasion were 27%, 16%, and 0% for tumor localization in the upper division, S6, and S10, respectively. Multivariate analysis revealed that aortic depression due to tumor or loss of fatty tissue between tumor and mediastinum in the chest CT significantly predicted aortic invasion (odds ratio = 23.83, 16.66). Group A demonstrated significantly more blood loss, longer operative time, prolonged hospital stay, and increased percentage of recurrent nerve palsy (13%) compared to group B. The 1-, 3-, and 5-year survival rates for patients in group A were 53.4%, 24.3%, and 24.3%, respectively.

CONCLUSION: If the chest CT of a patient demonstrates aortic depression due to tumor or loss of fatty tissue between tumor and mediastinum, aortic complications should be considered when planning surgery.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Thoracic cancer - (2024) vom: 16. Apr.

Sprache:

Englisch

Beteiligte Personen:

Ichinokawa, Hideomi [VerfasserIn]
Takamochi, Kazuya [VerfasserIn]
Fukui, Mariko [VerfasserIn]
Hattori, Aritoshi [VerfasserIn]
Matsunaga, Takeshi [VerfasserIn]
Suzuki, Kenji [VerfasserIn]

Links:

Volltext

Themen:

Computed tomography
Extended surgery
Journal Article
Lung cancer
T4
Thoracic aortic invasion

Anmerkungen:

Date Revised 16.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1111/1759-7714.15311

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM371129443