Objectives: In the era of minimally invasive surgery, preoperative detection of pleural adhesions can be very useful for the assessment of surgical approach, because pleural adhesions are the main contraindication to video-assisted thoracoscopy. The aim of this study was to assess the sensitivity and specificity of transthoracic ultrasound in the detection of pleural adhesions prior to thoracic surgery. Methods: From February 2010 to January 2011, 142 consecutive patients (male, 98; female, 44; age range, 36-83 years, mean age, 63.4 years) undergoing surgical thoracic intervention (except for pneumothorax) were preoperatively scanned by two different surgeons. According to thoracic wall projections of lung segments, we created a nine-region topographic map, in which every pulmonary area was scanned to assess the presence or the absence of 'gliding sign' (lesion-by-lesion analysis). During operations the surgeon, blinded to the prediction, confirmed or excluded each suspected adhesion or documented other adhesions not previously identified. Results: A total of 1192 predictions were made. Ultrasound predictions were confirmed 1124 times and refuted 68 times. Sensitivity was 80.6% (95% confidence interval, 0.740-0.872) and specificity 96.1% (95% confidence interval, 0.949-0.973). The positive predictive value was 73.2% and the negative predictive value was 97.4%. Conclusions: Transthoracic ultrasound is an effective method for predicting pleural adhesions before thoracic surgery in experienced hands. Its safety, feasibility and low cost make it a useful method for the planning of minimally invasive surgical interventions. © The Author 2012. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Accuracy of transthoracic ultrasound for the detection of pleural adhesions

Dell'amore A.;
2012

Abstract

Objectives: In the era of minimally invasive surgery, preoperative detection of pleural adhesions can be very useful for the assessment of surgical approach, because pleural adhesions are the main contraindication to video-assisted thoracoscopy. The aim of this study was to assess the sensitivity and specificity of transthoracic ultrasound in the detection of pleural adhesions prior to thoracic surgery. Methods: From February 2010 to January 2011, 142 consecutive patients (male, 98; female, 44; age range, 36-83 years, mean age, 63.4 years) undergoing surgical thoracic intervention (except for pneumothorax) were preoperatively scanned by two different surgeons. According to thoracic wall projections of lung segments, we created a nine-region topographic map, in which every pulmonary area was scanned to assess the presence or the absence of 'gliding sign' (lesion-by-lesion analysis). During operations the surgeon, blinded to the prediction, confirmed or excluded each suspected adhesion or documented other adhesions not previously identified. Results: A total of 1192 predictions were made. Ultrasound predictions were confirmed 1124 times and refuted 68 times. Sensitivity was 80.6% (95% confidence interval, 0.740-0.872) and specificity 96.1% (95% confidence interval, 0.949-0.973). The positive predictive value was 73.2% and the negative predictive value was 97.4%. Conclusions: Transthoracic ultrasound is an effective method for predicting pleural adhesions before thoracic surgery in experienced hands. Its safety, feasibility and low cost make it a useful method for the planning of minimally invasive surgical interventions. © The Author 2012. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3360363
Citazioni
  • ???jsp.display-item.citation.pmc??? 13
  • Scopus 48
  • ???jsp.display-item.citation.isi??? 46
social impact