CT-Derived Sarcopenia and Outcomes after Thoracoscopic Pulmonary Resection for Non-Small Cell Lung Cancer

被引:14
作者
Hasenauer, Arpad [1 ]
Forster, Celine [1 ]
Hungerbuhler, Johan [1 ]
Perentes, Jean Yannis [1 ,2 ]
Abdelnour-Berchtold, Etienne [1 ]
Koerfer, Joachim [3 ]
Krueger, Thorsten [1 ,2 ]
Becce, Fabio [2 ,3 ]
Gonzalez, Michel [1 ,2 ]
机构
[1] Lausanne Univ Hosp CHUV, Serv Thorac Surg, CH-1011 Lausanne, Switzerland
[2] Univ Lausanne UNIL, Fac Biol & Med, CH-1011 Lausanne, Switzerland
[3] Lausanne Univ Hosp CHUV, Dept Diagnost & Intervent Radiol, CH-1011 Lausanne, Switzerland
关键词
non-small cell lung cancer; sarcopenia; VATS; lobectomy; segmentectomy; outcomes; CLINICAL-IMPLICATIONS; EUROPEAN-SOCIETY; PREVALENCE; PREDICTOR; MORBIDITY; SURGERY;
D O I
10.3390/cancers15030790
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Sarcopenia is defined as a progressive loss of skeletal muscle strength, mass, and function. Lung cancer patients frequently present with sarcopenia, which may be associated with poorer postoperative outcomes. This study aimed to evaluate the impact of CT-derived preoperative sarcopenia on postoperative outcomes and survival in patients that underwent thoracoscopic anatomical pulmonary resection for non-small cell lung cancer. Sarcopenia was observed in almost one-quarter of patients. Our results showed that CT-derived sarcopenia seems to have a small impact on early postoperative outcomes but no effect on overall survival. Preoperative sarcopenia screening may be a useful tool to include in the surgical risk assessment. We aimed to evaluate whether computed tomography (CT)-derived preoperative sarcopenia measures were associated with postoperative outcomes and survival after video-assisted thoracoscopic (VATS) anatomical pulmonary resection in patients with early-stage non-small cell lung cancer (NSCLC). We retrospectively reviewed all consecutive patients that underwent VATS anatomical pulmonary resection for NSCLC between 2012 and 2019. Skeletal muscle mass was measured at L3 vertebral level on preoperative CT or PET/CT scans to identify sarcopenic patients according to established threshold values. We compared postoperative outcomes and survival of sarcopenic vs. non-sarcopenic patients. A total of 401 patients underwent VATS anatomical pulmonary resection for NSCLC. Sarcopenia was identified in 92 patients (23%). Sarcopenic patients were predominantly males (75% vs. 25%; p < 0.001) and had a lower BMI (21.4 vs. 26.5 kg/m(2); p < 0.001). The overall postoperative complication rate was significantly higher (53.2% vs. 39.2%; p = 0.017) in sarcopenic patients and the length of hospital stay was prolonged (8 vs. 6 days; p = 0.032). Two factors were associated with postoperative morbidity in multivariate analysis: BMI and American Society of Anesthesiologists score >2. Median overall survival was comparable between groups (41 vs. 46 months; p = 0.240). CT-derived sarcopenia appeared to have a small impact on early postoperative clinical outcomes, but no effect on overall survival after VATS anatomical lung resection for NSCLC.
引用
收藏
页数:12
相关论文
共 38 条
  • [1] Cancer cachexia, mechanism and treatment
    Aoyagi, Tomoyoshi
    Terracina, Krista P.
    Raza, Ali
    Matsubara, Hisahiro
    Takabe, Kazuaki
    [J]. WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2015, 7 (04) : 17 - 29
  • [2] Sarcopenia in COPD: a systematic review and meta-analysis
    Benz, Elizabeth
    Trajanoska, Katerina
    Lahousse, Lies
    Schoufour, Josje D.
    Terzikhan, Natalie
    De Roos, Emmely
    de Jonge, Gerdien B.
    Williams, Ross
    Franco, Oscar H.
    Brusselle, Guy
    Rivadeneira, Fernando
    [J]. EUROPEAN RESPIRATORY REVIEW, 2019, 28 (154)
  • [3] Sarcopenia: Current Concepts and Imaging Implications
    Boutin, Robert D.
    Yao, Lawrence
    Canter, Robert J.
    Lenchik, Leon
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2015, 205 (03) : W255 - W266
  • [4] European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database
    Brunelli, Alessandro
    Salati, Michele
    Rocco, Gaetano
    Varela, Gonzalo
    Van Raemdonck, Dirk
    Decaluwe, Herbert
    Falcoz, Pierre Emmanuel
    [J]. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2017, 51 (03) : 490 - 497
  • [5] Sarcopenia as Prognostic Factor in Lung Cancer Patients: A Systematic Review and Meta-analysis
    Buentzel, Judith
    Heinz, Judith
    Bleckmann, Annalen
    Bauer, Christoph
    Roever, Christian
    Bohnenberger, Hanibal
    Saha, Shekhar
    Hinterthaner, Marc
    Baraki, Hassina
    Kutschka, Ingo
    Emmert, Alexander
    [J]. ANTICANCER RESEARCH, 2019, 39 (09) : 4603 - 4612
  • [6] A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT
    Burns, Joseph E.
    Yao, Jianhua
    Chalhoub, Didier
    Chen, Joseph J.
    Summers, Ronald M.
    [J]. ACADEMIC RADIOLOGY, 2020, 27 (03) : 311 - 320
  • [7] Sarcopenia correlates with systemic inflammation in COPD
    Byun, Min Kwang
    Cho, Eun Na
    Chang, Joon
    Ahn, Chul Min
    Kim, Hyung Jung
    [J]. INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2017, 12 : 669 - 675
  • [8] A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION
    CHARLSON, ME
    POMPEI, P
    ALES, KL
    MACKENZIE, CR
    [J]. JOURNAL OF CHRONIC DISEASES, 1987, 40 (05): : 373 - 383
  • [9] The assessment and impact of sarcopenia in lung cancer: a systematic literature review
    Collins, Jemima
    Noble, Simon
    Chester, John
    Coles, Bernadette
    Byrne, Anthony
    [J]. BMJ OPEN, 2014, 4 (01):
  • [10] Sarcopenia: revised European consensus on definition and diagnosis
    Cruz-Jentoft, Alfonso J.
    Bahat, Gulistan
    Bauer, Juergen
    Boirie, Yves
    Bruyere, Olivier
    Cederholm, Tommy
    Cooper, Cyrus
    Landi, Francesco
    Rolland, Yves
    Sayer, Avan Aihie
    Schneider, Stephane M.
    Sieber, Cornel C.
    Topinkova, Eva
    Vandewoude, Maurits
    Visser, Marjolein
    Zamboni, Mauro
    [J]. AGE AND AGEING, 2019, 48 (01) : 16 - 31