Preoperative Chest Chest Computed Tomography Research Articles

A vision transformer-based deep transfer learning nomogram for predicting lymph node metastasis in lung adenocarcinoma.

Lymph node metastasis (LNM) plays a crucial role in the management of lung cancer; however, the ability of chest computed tomography (CT) imaging to detect LNM status is limited. This study aimed to develop and validate a vision transformer-based deep transfer learning nomogram for predicting LNM in lung adenocarcinoma patients using preoperative unenhanced chest CT imaging. This study included 528 patients with lung adenocarcinoma who were randomly divided into training and validation cohorts at a 7:3 ratio. The pretrained vision transformer (ViT) was utilized to extract deep transfer learning (DTL) feature, and logistic regression was employed to construct a ViT-based DTL model. Subsequently, the model was compared with six classical convolutional neural network (CNN) models. Finally, the ViT-based DTL signature was combined with independent clinical predictors to construct a ViT-based deep transfer learning nomogram (DTLN). The ViT-based DTL model showed good performance, with an area under the curve (AUC) of 0.821 (95% CI, 0.775-0.867) in the training cohort and 0.825 (95% CI, 0.758-0.891) in the validation cohort. The ViT-based DTL model demonstrated comparable performance to classical CNN models in predicting LNM, and the ViT-based DTL signature was then used to construct ViT-based DTLN with independent clinical predictors such as tumor maximum diameter, location, and density. The DTLN achieved the best predictive performance, with AUCs of 0.865 (95% CI, 0.827-0.903) and 0.894 (95% CI, 0845-0942), respectively, surpassing both the clinical factor model and the ViT-based DTL model (p<0.001). This study developed a new DTL model based on ViT to predict LNM status in lung adenocarcinoma patients and revealed that the performance of the ViT-based DTL model was comparable to that of classical CNN models, confirming that ViT was viable for deep learning tasks involving medical images. The ViT-based DTLN performed exceptionally well and can assist clinicians and radiologists in making accurate judgments and formulating appropriate treatment plans.

Pre-operative pectoralis muscle area index is associated with biomarkers of inflammation and endotoxemia and predicts clinical outcomes after left ventricular assist device implantation: A cohort study.

Pre-left ventricular assist device (LVAD) pectoralis muscle assessment, an estimate of sarcopenia, has been associated with postoperative mortality and gastrointestinal bleeding, though its association with inflammation, endotoxemia, length-of-stay (LOS), and readmissions remains underexplored. This was a single-center cohort study of LVAD patients implanted 1/2015-10/2018. Preoperative pectoralis muscle area was measured on chest computed tomography (CT), adjusted for height squared to derive pectoralis muscle area index (PMI). Those with PMI in the lowest quintile were defined as low-PMI cohort; all others constituted the reference cohort. Biomarkers of inflammation (interleukin-6, adiponectin, tumor necrosis factor-α [TNFα]) and endotoxemia (soluble (s)CD14) were measured in a subset of patients. Of the 254 LVAD patients, 95 had a preoperative chest CT (median days pre-LVAD: 7 [IQR 3-13]), of whom 19 (20.0%) were in the low-PMI cohort and the remainder were in the reference cohort. Compared with the reference cohort, the low-PMI cohort had higher levels of sCD14 (2594 vs. 1850 ng/mL; p = 0.04) and TNFα (2.9 vs. 1.9 pg/mL; p = 0.03). In adjusted analyses, the low-PMI cohort had longer LOS (incidence rate ratio 1.56 [95% confidence interval 1.16-2.10], p = 0.004) and higher risk of 90-day and 1-year readmissions (subhazard ratio 5.48 [1.88-16.0], p = 0.002; hazard ratio 1.73 [1.02-2.94]; p = 0.04, respectively). Pre-LVAD PMI is associated with inflammation, endotoxemia, and increased LOS and readmissions.

A CT-based radiomics integrated model for discriminating pulmonary cryptococcosis granuloma from lung adenocarcinoma-a diagnostic test.

Chest computed tomography (CT) is a critical tool in the diagnosis of pulmonary cryptococcosis as approximately 30% of normal immunity individuals may not exhibit any significant symptoms or laboratory findings. Pulmonary cryptococcosis granuloma and lung adenocarcinoma can appear similar on noncontrast chest CT. This study evaluates the use of an integrated model that was developed based on radiomic features combined with demographic and radiological features to differentiate pulmonary cryptococcosis nodules from lung adenocarcinomas. Preoperative chest CT images for 215 patients with solid pulmonary nodules with histopathologically confirmed lung adenocarcinoma and cryptococcosis infection were collected from two clinical centers (108 cases in the training set and 107 cases in the test set divided by the different hospitals). Radiomics models were constructed based on nodular lesion volume (LV), 5-mm extended lesion volume (ELV), and perilesion volume (PLV). A demoradiological model was constructed using logistic regression based on demographic information (age, sex) and 12 radiological features (location, number, shape and specific imaging signs). Both models were used to build an integrated model, the performance of which was assessed using the test set. A junior and a senior radiologist evaluated the nodules. Receiver operating characteristic (ROC) curve analysis was conducted, and areas under the curve (AUCs), sensitivity (SEN), and specificity (SPE) of the models were calculated and compared. Among the radiomics models, AUCs of the LV, ELV, and PLV were 0.558, 0.757, and 0.470, respectively. Age, lesion number, and lobular sign were identified as independent discriminative features providing an AUC of 0.77 in the demoradiological model (SEN 0.815, SPE 0.642). The integrated model achieved the highest AUC of 0.801 (SEN 0.759, SPE 0.755), which was significantly higher than that obtained by a junior radiologist (AUC =0.689, P=0.024) but showed no significant difference from that of the senior radiologist (AUC =0.784, P=0.388). An integrated model with radiomics and demoradiological features improves discrimination of cryptococcosis granulomas from solid adenocarcinomas on noncontrast CT. This model may be an effective strategy for machine complementation to discrimination by radiologists, and whole-lung automated recognition methods might dominate in the future.

Association Between Preoperative Sarcopenia and Early Postoperative Outcomes in Pediatric Patients Undergoing Total Correction of Tetralogy of Fallot: A Retrospective Cohort Study

To identify the association between preoperative low muscle mass and early postoperative outcomes in pediatric patients undergoing total correction of tetralogy of Fallot (TOF). A retrospective cohort study. A single university hospital in Seoul, South Korea. Pediatric patients (≤3 years) who underwent total correction of TOF between May 2008 and February 2018. None. Cross-sectional areas of the pectoralis and erector spinae muscles were measured using preoperative chest computed tomography (CT) scans, and adjusted to body surface area to define muscle mass index. The patients were divided into sarcopenia, presarcopenia, and no sarcopenia groups based on cutoff values determined using the mean and SD of the muscle mass index in the third z-weight quintile. Of a total of 330 patients included in the final analysis, 13 were associated with the sarcopenia group, 57 in the presarcopenia group, and 260 in the no sarcopenia group. The sarcopenia group exhibited a higher incidence of major adverse events than the presarcopenia and no sarcopenia groups, respectively (38% v 25% v 18%; p=0.033). Logistic regression analyses revealed that only younger age at the time of surgery was significantly associated with major adverse events (odds ratio 0.82; 95% CI 0.72-0.94, p=0.003). The incidence of sarcopenia, as assessed by preoperative chest CT, was low in pediatric patients undergoing total correction of TOF, and preoperative sarcopenia did not predict early postoperative major adverse events.

Anatomical view of thoracodorsal artery variants using computed tomography angiography.

BACKGROUND The latissimus dorsi (LD) muscle has a dominant pedicle with one thoracodorsal artery and receives sufficient blood by segmental circulation through several perforators. Thus, it is widely used in various reconstructive surgeries. We are reporting on the patterns of the thoracodorsal artery analyzed by chest CT angiography. PATIENTS AND METHODS We analyzed the preoperative chest CT angiography results of 350 patients scheduled to undergo LD flap breast reconstruction following complete mastectomy for breast cancer between October 2011 and October 2020. RESULTS 700 blood vessels were classified according to the KNUPS TDA classification, 388 (185 Rt. and 203 Lt.), 126 (64 Rt. and 62 Lt.), 91 (49 Rt. and 42 Lt.), 57 (27 Rt. and 30 Lt.), and 38 (25 Rt. and 13 Lt.) vessels were classified as Type I, II, III, IV, and V, respectively. Among 350 patients, 205 patients showed matching types for Lt. and Rt. vessels, whereas 145 patients showed mismatching types. For 205 patients with matching types, the distribution by type was 134, 30, 30, 7, and 4 patients with Type I, II, III, IV, and V, respectively. For 145 patients with mismatching types, the distribution by different combinations was 48, 25, 28, 19, 2, 9, 7, 3, 1, and 3 patients with Types I+II, I+III, I+IV, I+V, II+III, II+IV, II+V, III+IV, III+V, and IV+V, respectively. CONCLUSIONS While there is some diversity in the vascular anatomical structures of the LD flap, the dominant vessel can be found in a similar location in almost all cases and no flap had absence of a dominant vessel. Therefore, in surgical procedures using the thoracodorsal artery as the pedicle, preoperative radiological confirmation is not absolutely necessary; however, due to variants, performing the surgery with an understanding of this aspect should lead to good outcomes.

Preoperative Computed Tomography Radiomics Analysis for Predicting Receptors Status and Ki-67 Levels in Breast Cancer.

To assess the prediction performance of preoperative chest computed tomography (CT) based radiomics features for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2+), and Ki-67 status of breast cancer. This study enrolled 108 breast cancer patients who received preoperative chest CT examinations in our institution from July 2018 to January 2020. Radiomics features were separately extracted from nonenhanced, arterial, and portal-venous phases CT images. The least absolute shrinkage and selection operator logistic regression was used for feature selection. Then the radiomics signatures for each phase and a combined model of 3 phases were built. Finally, the receiver operating characteristic curves and calibration curves were used to confirm the performance of the radiomics signatures and combined model. In addition, the decision curves were performed to estimate the clinical usefulness of the combined model. The 20 most predictive features were finally selected to build radiomics signatures for each phase. The combined model achieved the overall best performance than using either of the nonenhanced, arterial and portal-venous phases alone, achieving an area under the receiver operating characteristic curve of 0.870 for ER+ versus ER-, 0.797 for PR+ versus PR-, 0.881 for HER2+ versus HER2-, and 0.726 for Ki-67. The decision curve demonstrated that the CT-based radiomics features were clinically useful. This study indicated preopreative chest CT radiomics analysis might be able to assess ER, PR, HER2+, and Ki-67 status of breast cancer. The findings need further to be verified in future larger studies.

Should We Always Perform Preoperative Chest Computed Tomography in Patients with cT1a Renal Cell Carcinoma?

No definitive criteria regarding the performance of preoperative chest computed tomography (CT) in patients with cT1a renal cell carcinoma (RCC) exists. We aimed to establish an objective standard for the optimal timing of preoperative chest CT in patients with RCC. Data from 890 patients who underwent surgical treatment for RCC between January 2011 and December 2020 were retrospectively collected. The primary endpoint was detection of lung metastasis on chest CT before nephrectomy. A multivariable logistic regression model predicting positive chest CT scans was used. Predictors included preoperative cTN stage, presence of systemic symptoms, Charlson comorbidity index (CCI), platelet count/hemoglobin ratio, albumin/globulin ratio (AGR), and De Ritis ratio. The overall rate of positive chest CT scans before nephrectomy was 3.03% (27/890). Only one patient had lung metastasis before surgery for cT1a. cT stage (≥cT1b), CCI ≥4, and low AGR were associated with a higher risk of positive chest CT scans. The best cutoff value for AGR was 1.39. After 890-sample bootstrap validation, the concordance index was 0.80. The net benefit of the proposed strategy was superior to that of the select-all and select-none strategies according to decision curve analysis. Therefore, when chest CT scans were performed with a risk of a positive result ≥10%, 532 (59.8%) negative chest CT scans could be prevented. Only 24 (2.7%) potentially positive chest CT scans were misdiagnosed. Therefore, we recommend chest CT in patients with ≥cT1b disease, CCI ≥4, and low AGR.

Asymptomatic Giant Left Atrial Appendage Cavernous Haemangiona Misdiagnosed as a Mediastinal Mass

A 50-year-old female was admitted because a chest computed tomography (CT) incidentally noted a mediastinal mass. Physical examination revealed a regular heart rate of 84 beats/minute and blood pressure of 124/88 mmHg. Moreover, no cardiac murmurs were auscultated. Preoperative contrast-enhanced chest CT demonstrated an 8.2 cm × 6.0 cm non-enhancing mass in the left anterior mediastinum (Figure 1A). No abnormalities were illustrated in the 3D heart vasculature reconstruction (Figure 1B) and echocardiogram (Figure 1C).

Sarcopenia on preoperative chest computed tomography predicts cancer-specific and all-cause mortality following pneumonectomy for lung cancer: A multicenter analysis.

BackgroundMortality risk prediction in patients undergoing pneumonectomy for non‐small cell lung cancer (NSCLC) remains imperfect. Here, we aimed to assess whether sarcopenia on routine chest computed tomography (CT) independently predicts worse cancer‐specific (CSS) and overall survival (OS) following pneumonectomy for NSCLC.MethodsWe included consecutive adults undergoing standard or carinal pneumonectomy for NSCLC at Massachusetts General Hospital and Heidelberg University from 2010 to 2018. We measured muscle cross‐sectional area (CSA) on CT at thoracic vertebral levels T8, T10, and T12 within 90 days prior to surgery. Sarcopenia was defined as T10 muscle CSA less than two standard deviations below the mean in healthy controls. We adjusted time‐to‐event analyses for age, body mass index, Charlson Comorbidity Index, forced expiratory volume in 1 second in % predicted, induction therapy, sex, smoking status, tumor stage, side of pneumonectomy, and institution.ResultsThree hundred and sixty‐seven patients (67.4% male, median age 62 years, 16.9% early‐stage) underwent predominantly standard pneumonectomy (89.6%) for stage IIIA NSCLC (45.5%) and squamous cell histology (58%). Sarcopenia was present in 104 of 367 patients (28.3%). Ninety‐day all‐cause mortality was 7.1% (26/367). After a median follow‐up of 20.5 months (IQR, 9.2–46.9), 183 of 367 patients (49.9%) had died. One hundred and thirty‐three (72.7%) of these deaths were due to lung cancer. Sarcopenia was associated with shorter CSS (HR 1.7, p = 0.008) and OS (HR 1.7, p = 0.003).ConclusionsThis transatlantic multicenter study confirms that sarcopenia on preoperative chest CT is an independent risk factor for CSS and OS following pneumonectomy for NSCLC.

Predictive value of chest computed tomography for axillary lymph node metastasis in patients with breast cancer: A retrospective cohort study

Purpose: This study aimed to evaluate the predictive value of preoperative chest computed tomography (CT) for axillary lymph node (ALN) metastasis in patients with breast cancer.Methods: CT features of ALNs were retrospectively reviewed in 212 patients with breast cancer who underwent preoperative chest CT examination and ALN dissection. Primary tumor size and CT characteristics of ALNs (cortical thickness, cortical shape, the presence or absence of contrast enhancement of ALNs, and the presence or absence of perinodal infiltration) were recorded and analyzed. A nomogram was developed to visualize the associations between the predictors and each ALN status endpoint.Results: Of 212 patients, 95 (44.8%) had ALN metastasis. Primary tumor size and CT characteristics of ALNs were identified as predictors of ALN metastasis. The nomogram comprising primary tumor size and cortical shape was a good validation model for predicting ALN metastasis. The sensitivity, specificity, and accuracy of the nomogram for predicting ALN metastasis were 88.4%, 79.5%, and 83.5%, respectively.Conclusion: Using preoperative chest CT scans, a nomogram combining the cortical shape of ALNs with the primary tumor size showed good performance in predicting ALN metastasis.

Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography

BackgroundIncidental breast cancers can be detected on chest computed tomography (CT) scans. With the use of deep learning, the sensitivity of incidental breast cancer detection on chest CT would improve. This study aimed to evaluate the performance of a deep learning algorithm to detect breast cancers on chest CT and to validate the results in the internal and external datasets. Patients and MethodsThis retrospective study collected 1170 preoperative chest CT scans after the diagnosis of breast cancer for algorithm development (n = 1070), internal test (n = 100), and external test (n = 100). A deep learning algorithm based on RetinaNet was developed and tested to detect breast cancer on chest CT. ResultsIn the internal test set, the algorithm detected 96.5% of breast cancers with 13.5 false positives per case (FPs/case). In the external test set, the algorithm detected 96.1% of breast cancers with 15.6 FPs/case. When the candidate probability of 0.3 was used as the cutoff value, the sensitivities were 92.0% with 7.36 FPs/case for the internal test set and 93.0% with 8.85 FPs/case for the external test set. When the candidate probability of 0.4 was used as the cutoff value, the sensitivities were 88.5% with 5.24 FPs/case in the internal test set and 90.7% with 6.3 FPs/case in the external test set. ConclusionThe deep learning algorithm could sensitively detect breast cancer on chest CT in both the internal and external test sets.

Uniportal Thoracoscopic Decortication for Stage III Tuberculous Empyema With Severe Rib Crowding

This study explored the safety and feasibility of uniportal video-assisted thoracoscopic (VATS) decortication in patients presenting with stage III tuberculous empyema with severe rib crowding. From August 2017 to January /2019, 33 patients with stage III tuberculous empyema and severe rib crowding underwent uniportal VATS decortication with partial rib resection and the use of a customized periosteal stripper. Preoperative and postoperative chest computed tomography (CT) imaging and pulmonary function testing were analyzed to evaluate the clinical significance of certain imaging findings and surgical efficacy. There was 1 conversion to open thoracotomy. Median operative time was 3.5 hours (range, 2.1-4.5 hours) and the median blood loss was 500 mL (range, 250-1000 mL). There were no perioperative mortalities. The incidence of prolonged air leaks (>5 days) was 81.8%. Median postoperative hospital stay was 4 days (range, 4-5 days). All patients were discharged with 2 chest tubes, and median duration drainage was 39 days (range, 30-60 days). The presence of a low-density line between the parietal fibrous pleural rind and chest wall was demonstrated on chest CT in 13 patients. Intraoperative blood loss was considerably lower in these patients compared with those without this imaging finding. Follow-up was complete in all patients over a median of 8 months (range, 6-11.5 months). All patients recovered well and achieved notable improvement in pulmonary function. Uniportal VATS decortication is safe and effective. Patients presenting with a low-density line around the thickened fibrous pleural rind on preoperative chest CT scan may be good candidates.

Routine Chest Computed Tomography for Staging of Pancreatic Head Carcinoma.

The diagnostic value of routine chest computed tomography (CT) in addition to abdominal CT in workup for pancreatic head carcinoma is unclear. The aim of this study was to determine if routine chest CT revealed significant lesions that altered the management of patients with suspected pancreatic head carcinoma. All Dutch pancreatic cancer centers were surveyed on the use of chest CT in preoperative staging. In addition, a single-center retrospective cohort study was performed including all patients referred with suspected pancreatic head malignancy without chest CT between 2005 and 2016. The primary end point was the proportion of patients in which chest CT revealed clinically significant lesions, leading to a change in management. In 7 of 18 Dutch pancreatic cancer centers (39%), a preoperative chest CT is not routinely performed. In the study cohort, 170 of 848 patients (20%) were referred without chest CT and underwent one by local protocol. Chest CT revealed new suspicious lesions in 17 patients (10%), of whom 6 had metastatic disease (3.5%). Routine use of chest CT in diagnostic workup for pancreatic head carcinoma reveals clinically significant lesions in 10% of patients, being metastases in up to 4%.

Abstract P5-16-08: Applications of rib sparing technique in internal mammary vessels exposure of abdominal free flap breast reconstructions

Abstract Background: Internal mammary vessels (IMVs) are widely used recipient vessels in abdominal free flaps breast reconstructions. Exposure of IMVs usually needs to resect a segment of costal cartilage or rib during the operations. The rib sparing technique is an alternative method with less damage. This study aims to analysis the applicability and advantages of rib sparing technique of IMVs exposure in breast reconstruction. Methods: medical records of 215 patients who underwent abdominal free flap reconstruction from November 2006 to December 2017 were analyzed. The factors influencing the choice of vessels and rib sparing were analyzed. The outcomes of rib sparing were assessed. Intercostal space (ICS) width and other related data were measured by the preoperative thin slice chest computed tomography (CT) scan images. Results: Among all 215 patients with 218 flaps, 172 flaps used IMVs as the recipient vessels while 13 used thoracodorsalvessels and 33 used subscapular vessels. The proportion of IMVs as recipient vessels showed a rising trend in general and remained over 90% for the last three years in our center. Patients with immediate reconstruction (p=0.005) and axillary lymph nodes dissection(ALND) (p&amp;lt;0.001) were less likely to use IMVs, both in univariate and multivariate logistic regression analysis. Patients' BMI and radiotherapy history showed no statistically significant differences between the IMVs group and the other vessels group (p=0.338 and 0.811). The rib sparing rate in IMVs exposure increased yearly and exceeded 40% in 2013, now it maintained more than 60% during the recent 3 years. Additionally, among the patients who received rib sparing IMVs exposure in 2017, the mean ICS width was relatively smaller than that in 2013 (2.54cm V.S 2.93cm, p=0.124). Compared with rib resection group, patients with rib sparing were higher (163.57 ± 4.44 cm vs. 161.83 ± 4.30 cm, p=0.047) and with a wider ICS (2.65 ± 0.54 cm vs. 2.25± 0.38 cm, p&amp;lt;0.01), while the depth from the surface of the pectoralis major muscle to the IMVs and distance between the parasternal line and IMVs had no difference between the two groups. Rib sparing group has a shorter surgery and hospitalization time, as well as a lower severe complication rate, but the differences were not statistically significant (p= 0.120, 0.450 and 0.296). Conclusion: IMVs were used more frequently as the recipient vessels in abdominal free flap breast reconstructions, especially when axillary operation was not carried out at the same time. Rib sparing technique had the potential to decrease surgery time and hospitalization days, as well as the severe complications rate. It could be used in most of patients received free flap reconstruction when IMVs were used, particularly in higher patients and patients with a wider ICS. Preoperative slice chest CT scan can be used to measure the ICS width to provide suggestions for dealing with the ribs. Citation Format: Zhang Q, Xiao Q, Guo R, Wu J, Gu Y, Xiu B. Applications of rib sparing technique in internal mammary vessels exposure of abdominal free flap breast reconstructions [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-16-08.

Efficacy of chest computed tomography prediction of the pathological TNM stage of thymic epithelial tumours.

The aim of this study is to evaluate the efficacy of chest computed tomography (CT) to predict the pathological stage of thymic epithelial tumours (TET) using the recently introduced tumour, node and metastasis (TNM) staging with comparison to the modified Masaoka staging. Preoperative chest CT examinations in cases of resected TET with sampled lymph nodes (2006-2016) were retrospectively reviewed by 2 thoracic radiologists and radiologically (r) staged using both staging systems. A thoracic pathologist reviewed all cases for the pathological (p) stage. Concordance between r-staging and p-staging was assessed by % agreement and unweighted kappa statistics. Associations between r-stage and p-stage with outcomes were assessed using the Cox proportional hazards regression. Sixty patients with TET were included (47 thymomas, 12 thymic carcinomas and 1 atypical carcinoid tumour). Sixteen patients (26.7%) had received neoadjuvant therapy. Fifty-four patients (90.0%) had complete resection. The overall agreement between the r-stage and p-stage was 66.7% (κ = 0.46) for TNM staging and 46.7% (κ = 0.30) for modified Masaoka staging. Agreement between r-assessment and p-assessment of the T, N and M components of the TNM stage was 61.7% (κ = 0.28), 86.7% (κ = 0.48) and 98.3% (κ = 0.88), respectively. CT overstaged 12 patients (20.0%) for TNM staging and 12 patients (20.0%) for modified Masaoka staging and understaged 8 (13.3%) and 20 (33.3%) patients for TNM staging modified Masaoka staging, respectively. The r-TNM staging accuracy was lower for patients with neoadjuvant therapy (50.0% with vs 72.7% without). During a median follow-up of 2.6 years (range 0.1-10.5 years), 12 patients had metastases and/or recurrence; 11 patients died (4 of disease). The r-TNM stage and modified Masaoka stage were associated with overall survival and progression-free survival (P < 0.001). Preoperative chest CT is able to accurately predict p-TNM stage in two-thirds of surgically resected TET, with an agreement between radiological staging and pathological staging superior to the modified Masaoka staging.

The prognostic impact of combined pulmonary fibrosis and emphysema in patients with clinical stage IA non-small cell lung cancer.

We evaluated the long-term outcomes of clinical stage IA non-small cell lung cancer (NSCLC) patients with combined pulmonary fibrosis and emphysema (CPFE) who underwent lobectomy. We reviewed the chest computed tomography (CT) findings and divided the patients into normal, fibrosis, emphysema and CPFE groups. We evaluated the relationships among the CT findings, the clinicopathological findings and postoperative survival. The patients were classified into the following groups based on the preoperative chest CT findings: normal lung, n=187; emphysema, n=62; fibrosis, n=8; and CPFE, n=17. The patients with CPFE were significantly older, more likely to be men and smokers, had a higher KL-6 level and lower FEV 1.0% value and had a higher rate of squamous cell carcinoma. The 5-year overall survival (OS) and disease-free survival rates were as follows: normal group, 82.5 and 76.8%; emphysema group, 80.0 and 74.9%; fibrosis group, 46.9 and 50%; and CPFE group, 36.9 and 27.9%, respectively (p<0.01). A univariate and multivariate analysis determined that the pathological stage and CT findings were associated with OS. CPFE is a significantly unfavorable prognostic factor after lobectomy, even in early-stage NSCLC patients with a preserved lung function.

Pleural tenting as an effective adjunct in patients with pneumothorax secondary to emphysema evaluated with computed tomography scan.

The efficacy of thoracoscopic blebectomy and pleurodesis for secondary spontaneous pneumothorax (SSP) is often attenuated by diffuse emphysematous parenchyma. In this study, we reviewed our surgical results of pleural tenting and its association with preoperative chest computed tomography (CT) in patients with SSP. From September 2005 to December 2014, there were 96 surgeries on 84 patients with SSP due to pulmonary emphysema. The data was collected on age, sex, smoking status, preoperative chest CT scan image, surgical procedure, blood loss, operative time, duration of tube thoracostomy, and hospital stay. We used Goddard score, a visual scoring system, to evaluate the severity of emphysema. Multivariable regression and logistic regression were performed to identify the factors associated with outcomes. The patients were separated according to the Goddard score, where patients with Goddard score ≤2 were in group 1 and those with Goddard score >2 in group 2. Goddard score and pleural tenting both significantly influenced the duration of tube thoracostomy in group 2 (P=0.026 and 0.003) but not in group 1. The Goddard score had significant impact on recurrence (P=0.019, OR =2.525), the risk of secondary procedure (P=0.033, OR =4.754), and complication (P=0.002, OR =2.913). Pleural tenting was found to decrease the risk of secondary procedure (P=0.034, OR =0.059). For complication and mortality rate, age was an important risk factor (P<0.001, OR =1.110 and P=0.028, OR =1.146). In patients with moderate and severe emphysema, pleural tenting significantly reduced the duration of tube thoracostomy and the risk of secondary procedure.

Open source software e-learning system to improve medical image interpretation in young thoracic surgeons

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Background&lt;/em&gt;&lt;/strong&gt; We evaluated the efficacy of the e-learning system for improving young thoracic surgeons’ interpretations of chest computed tomography (CT) images.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Methods&lt;/em&gt;&lt;/strong&gt; We established an e-learning system for medical image interpretation using open source software that can be accessed from multiple sites. We used virtual network computing (VNC), a graphical desktop sharing protocol, to observe the remote server desktop screen. OsiriX, an image-processing package, was installed on the server to share medical images. Five young thoracic surgeons (3-8 years of experience) were instructed to interpret a preoperative chest CT from a remote partner hospital. Chest CTs were extracted from remote hospitals, anonymized, and uploaded to the secure server. The participants accessed the server via high-speed Internet secured with a virtual private network. The young surgeons then created a 3-dimensional configuration of the pulmonary vessels before procedure using the 2-dimensional scans. Next, 5 expert thoracic surgeons ranked the renderings on a 10-point scale. The edited surgical video with the actual pulmonary configuration was uploaded to the web server, and the young thoracic surgeons watched the video as a self-education module. They also commented on their peers’ preoperative images of the pulmonary vessels.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results&lt;/em&gt;&lt;/strong&gt; The scores of the 5 interpretations and drawings of pulmonary vessel branching patterns of patients with lung cancer undergoing lobectomy increased with years of experience.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Conclusions&lt;/em&gt;&lt;/strong&gt; The young thoracic surgeons virtually learned lobectomy using an e-learning system. We believe this virtual resource will help young thoracic surgeons accumulate greater experience. &lt;/p&gt;

Should Preoperative Chest CT Be Recommended to All Colon Cancer Patients?

The aim of this study was to evaluate the efficacy of preoperative chest computed tomography (CT) and the risk factors for lung metastasis in colon cancer patients without liver metastasis who had negative findings on initial chest X-ray (CXR). Preoperative staging with chest CT is recommended in colon cancer patients. However, there have been only scant data on the clinical efficacy. Three hundred nineteen consecutive colon cancer patients without liver metastasis were retrospectively reviewed and analyzed. The patients had negative findings on preoperative CXR, and they underwent surgery for colon cancer during the period of January 2008 to April 2010. Lung nodule on chest CT was found in 136 patients (42.6%). Twenty of those were definitely diagnosed with lung metastasis (6.3%) by follow-up chest CT or pathologic confirmation. There was no case of delay in surgery due to findings of lung nodule. Comparing the group with lung metastases to that without lung metastases, postoperative pathologic findings reported more advanced T and N status (P = 0.004, P < 0.001, respectively), and lymphatic invasion was more frequent (P = 0.003) in the group with lung metastasis. By multivariate analysis, CT-predicted lymph node metastases and pathologic lymph node metastases were risk factors for lung metastases. Preoperative staging chest CT is not beneficial to colon cancer patients without liver metastasis and lymph node metastasis suggested on abdominal and pelvic CT who had negative finding on initial CXR.

Indeterminate Pulmonary Nodules at Colorectal Cancer Staging: A Systematic Review of Predictive Parameters for Malignancy

This study aimed to estimate the prevalence of indeterminate pulmonary nodules and specific radiological and clinical characteristics that predict malignancy of these at initial staging chest computed tomography (CT) in patients with colorectal cancer. A considerable number of indeterminate pulmonary nodules, which cannot readily be classified as either benign or malignant, are detected at initial staging chest CT in colorectal cancer patients. A systematic review based on a search in EMBASE, Medline, the Cochrane library and science citation index, PubMed databases, Google scholar, and relevant conference proceedings was performed in cooperation with the Cochrane Colorectal Cancer Group. A total of 2,799 studies were identified, of which 12 studies met the inclusion criteria. The studies primarily consisted of case series and included a total of 5,873 patients. Of these patients, 9% (95% confidence interval [95% CI] 8.9-9.2%) had indeterminate pulmonary nodules at chest CT, of which 10.8% (95% CI 10.3-11.2%) turned out to be colorectal cancer metastases at follow-up. Generally, regional lymph node metastasis, and multiple numbers of indeterminate pulmonary nodules were reported to predict malignancy, whereas calcification of the nodules indicated benign lesions. It was found that 1 in 100 colorectal cancer patients subjected to preoperative staging chest CT will have an indeterminate pulmonary nodule that proves to be metastatic disease. Such a low risk suggests that indeterminate pulmonary nodules should not cause further preoperative diagnostic workup or follow-up besides routine regimens.