Physiological rehabilitation after video-assisted lung lobectomy for cancer: a prospective study of measuring daily exercise and oxygenation capacity.

OBJECTIVE: Video-assisted thoracic surgery followed by fast-track rehabilitation has been claimed to accelerate physiological recovery after lung lobectomy for cancer; however, we are still uncertain when the exercise and oxygenation capacity recover and how to determine the rehabilitation time required by each patient. The aim of this study was to evaluate the rehabilitation time after this type of surgery and determine the best predictors of rehabilitation time. METHODS: We measured exercise and oxygenation capacity daily during the perioperative period on a prospective series of 40 patients who had scheduled to undergo video-assisted lung lobectomy for cancer. Postoperative rehabilitation was confirmed when patients had regained more than 80% of their baseline exercise capacity and more than 98% of their baseline oxygenation capacity without the use of routine tubes for oxygen supplementation, fluid transfusion, bladder catheterization, chest drainage, and epidural catheterization. The hypoxemia index, which we found to have correlated with early-postoperative oxygenation capacity, was calculated preoperatively using baseline arterial oxygen saturations and the severity of emphysema on computed tomography. RESULTS: The median rehabilitation time was 3 days. Stepwise Cox regression analysis revealed that the postoperative predicted forced expiratory volume in 1s (relative ratio 1.043, p < 0.01) and the hypoxemia index (relative ratio 1.343, p = 0.02) were the best independent determinants of the postoperative rehabilitation time. CONCLUSIONS: By conducting daily physiological assessments, we identified the rehabilitation time and its determinants in patients who underwent video-assisted lung lobectomy for cancer. Our results are valuable for planning patient-specific fast-track surgery in the hospital setting.

Breath-hold single-photon emission tomography and computed tomography for predicting residual pulmonary function in patients with lung cancer.

OBJECTIVE: We sought to evaluate the utility of integrated breath-hold single-photon emission tomography and computed tomography imaging compared with that of simple calculation with the lung segment-counting technique for predicting residual pulmonary function in patients undergoing surgical intervention for lung cancer. METHODS: A prospective series of 22 patients undergoing anatomic lung resection for cancer were enrolled in this study. Postoperative residual forced expiratory volume in 1 second was predicted by measuring the radioactivity counts of the affected lobes or segments to be resected within the entire lungs by placement of regions of interest on single-photon emission tomography and computed tomography images. Residual forced expiratory volume in 1 second was also estimated by using the segment-counting technique. RESULTS: Both predicted values agreed well with postoperative forced expiratory volume in 1 second. Although the residual forced expiratory volume in 1 second predicted by means of single-photon emission tomography and computed tomography correlated well with that predicted by using segment counting, the values were significantly underestimated by the segment-counting technique in 4 outliers with severe emphysema. There were 2 patients with borderline pulmonary functional reserve whose residual forced expiratory volume in 1 second values were predicted more accurately by means of single-photon emission tomography and computed tomography than by using segment counting. CONCLUSION: Integrated breath-hold single-photon emission tomography and computed tomography images allow the accurate prediction of postoperative pulmonary function but without statistical superiority over the simple segment-counting technique. Further study of the usefulness of single-photon emission tomography and computed tomography in patients with severe emphysema and borderline lung function should prove valuable because the segment-counting technique underestimates pulmonary functional reserve in these patients.

Role of quantitative CT in predicting hypoxemia and complications after lung lobectomy for cancer, with special reference to area of emphysema.

STUDY OBJECTIVES: To determine the ability of quantitative CT, with special reference to area of emphysema, to predict early postoperative oxygenation capacity and outcome after lung lobectomy for cancer. METHODS: Sixty-two consecutive patients scheduled to undergo lung lobectomy for cancer were enrolled in this study. The area of emphysema (< - 910 Hounsfield units) was measured on a three-dimensional CT lung model. Arterial oxygen saturation (Sao(2)) was calculated from Pao(2) measured 1 day before and 1 day after surgery with patients at rest breathing room air. A patient was considered to have recovered at the completion of a standardized management regimen. RESULTS: Postoperative Sao(2) (postSao(2)) was predicted by the baseline value and the area of emphysema with the use of a regression equation. Ten of the 62 patients (16%) had postoperative cardiopulmonary complications (CPCs). The median time to postoperative recovery was 3 days (range, 1 to 17 days). Predicted postSao(2) and predicted postoperative FEV(1) were shown to be significant independent predictors of postoperative CPCs as well as postoperative recovery time. CONCLUSION: Determining the area of emphysema by quantitative CT is useful in predicting early postoperative oxygenation capacity. Predicted oxygenation capacity and predicted ventilatory capacity independently affect perioperative outcomes. Therefore, using quantitative CT in combination with spirometry may improve risk prediction in patients undergoing lung lobectomy for cancer. However, the role of quantitative CT in grading nonemphysematous lung diseases, such as interstitial lung diseases, must be investigated.

Effect of radioisotope sentinel node mapping in patients with cT1 N0 M0 lung cancer.

BACKGROUND: Application of the sentinel node concept to lung cancer is still controversial. Patients with peripheral small lung cancers would gain the most benefit from this concept, if it were valid. We sought to determine whether it is possible to choose between limited lymph node sampling and systematic lymphadenectomy from the distribution of sentinel lymph nodes in patients with node-negative disease on the basis of imaging. METHODS: Sixty-five consecutive patients with cT1 N0 M0 non-small cell lung cancer were enrolled. A radioisotope tracer (4 mCi of technetium-99m tin colloid, 2.0 mL) was injected in the vicinity of the tumor before surgical intervention with computed tomographic guidance. The radioactivity of each resected lymph node was measured separately with a hand-held gamma probe after complete tumor resection. Sentinel nodes were identified, and the accuracy of sentinel node mapping was examined. Whether the location of the sentinel node depended on the site of the primary tumor was also examined. RESULTS: Of the 65 patients, 3 were excluded because of the final pathologic results. Successful radionuclide migration occurred in 39 (62.9%) of the 62 patients. There was 1 (2.6%) false-negative result among 39 patients with a sentinel node, and therefore the sensitivity was 90%, and the specificity was 100%. The most common sentinel lymph nodes were at level 12 (46.7%), followed by level 11 (18.3%), the mediastinum (16.7%), and level 10 (11.7%). CONCLUSION: The sentinel node concept is valid in patients with cT1 N0 M0 lung cancer. The lobar lymph nodes were identified as sentinel nodes more frequently than other lymph nodes. We need to make further efforts to increase the sentinel node identification rate. However, we believe that if sentinel nodes are identified, sentinel node mapping can allow the accurate intraoperative diagnosis of pathologic N0 status in patients with cT1 N0 M0 lung cancer.