Preoperative assessment of parietal pleural invasion/adhesion of subpleural lung cancer: advantage of software-assisted analysis of 4-dimensional dynamic-ventilation computed tomography

Diagnostic utility of chest wall vessel involvement sign on ultra-high-resolution CT for primary lung cancer infiltrating the chest wall

OBJECTIVES

Chest wall infiltration in primary lung cancer affects the surgical and therapeutic strategies. This study evaluates the efficacy of the chest wall vessel involvement in subpleural lung cancer (CWVI)　on ultra-high-resolution CT (UHR-CT) for detecting chest wall invasion.

MATERIALS AND METHODS

A retrospective analysis of lung cancer cases with confirmed pleural and chest wall invasion was conducted from November 2019 to April 2022. Seventy-seven patients (mean ± standard deviation age 70 ± 8 years, 64 males) who underwent preoperative contrast-enhanced UHR-CT were included. They were grouped into 51 non-chest wall infiltration (pl1 and pl2) and 26 chest wall infiltration (pl3). Clinical, histopathological, and UHR-CT findings were reviewed.

RESULTS

Upper lobe tumors exhibited a higher chest wall invasion rate (p < 0.001). Rib destruction was evident in five patients with chest wall invasion but none with pleural invasion (p < 0.001). CWVI was present in 19 of 26 patients with chest wall invasion and 2 of 51 patients with pleural invasion (p < 0.001). The maximum tumor diameter (Dmax), arch distance which means the interface length between the primary tumor and the chest wall (Adist), and the ratio of Dmax to Adist were higher in chest wall invasion cases (all p < 0.001). After excluding patients with rib destruction, in multivariate logistic regression analysis, only CWVI was a significant predictor for chest wall invasion (odds ratio 29.22 (95% confidence interval 9.13-262.90), p < 0.001).

CONCLUSION

CWVI on UHR-CT can help diagnose lung cancer infiltrating the chest wall, offering a potential tool for clinical decision-making.

KEY POINTS

Question Chest wall infiltration in primary lung cancer has implications for the treatment plan, but diagnosis is often difficult with conventional CT. Findings Chest wall vessel involvement in subpleural lung cancer on ultra-high-resolution CT is a valuable predictor for diagnosing chest wall infiltration. Clinical relevance The delineation of chest wall vessels with contrast-enhanced ultra-high-resolution CT may improve the diagnosis of chest wall infiltration and allow accurate staging and optimal treatment options for subpleural primary lung cancer.

Preoperative diagnosis of adhesion severity between the abdominal wall and intestinal tract with novel abdominal ultrasound methodology to enhance surgical safety

BACKGROUND

Adhesions between the abdominal wall and intestinal tract from previous surgeries can complicate reoperations; however, predicting the extent of adhesions preoperatively is difficult. This study aimed to develop a straightforward approach for predicting adhesion severity using a novel abdominal ultrasound technique that quantifies the displacement of motion vectors of two organs to enhance surgical safety. The efficacy of this methodology was assessed experimentally and clinically.

METHODS

Using Aplio500T, a system we developed, we measured the displacement of the upper peritoneum and intestinal tract as a vector difference and computed the motion difference ratio. Twenty-five rats were randomized into surgery and nonsurgery groups. The motion difference ratio was assessed 7 days after laparotomy to classify adhesions. In a clinical trial, 51 patients undergoing hepatobiliary pancreatic surgery were evaluated for the motion difference ratio within 3 days preoperatively. Intraoperatively, adhesion severity was rated and compared with the motion difference ratio. A receiver operating characteristic curve was used to appraise the diagnostic value of the motion difference ratio.

RESULTS

In the animal experiment, the adhesion group exhibited a significantly higher motion difference ratio than the no-adhesion group (0.006 ± 0.141 vs 0.435 ± 0.220, P < .001). In the clinical trial, the no-adhesion or no-laparotomy group had a motion difference ratio of 0.128 ± 0.074; mild-adhesion group, 0.143 ± 0.170; moderate-adhesion group, 0.326 ± 0.153; and high-adhesion group, 0.427 ± 0.152. The motion difference ratio receiver operating characteristic curve to diagnose the adhesion level (≥moderate) was 0.938, indicating its high diagnostic value (cut-off 0.204).

CONCLUSION

This methodology may preoperatively predict moderate-to-high adhesions.

Imaging in Lung Cancer Staging

Lung cancer remains one of the leading causes of mortality worldwide, as well as in the United States. Clinical staging, primarily with imaging, is integral to stratify patients into groups that determine treatment options and predict survival. The eighth edition of the tumor, node, metastasis (TNM-8) staging system proposed in 2016 by the International Association for the Study of Lung Cancer remains the current standard for lung cancer staging. The system is used for all subtypes of lung cancer, including non-small cell lung cancer, small cell lung cancer, and bronchopulmonary carcinoid tumors.

Right main pulmonary artery distensibility on dynamic ventilation CT and its association with respiratory function

BACKGROUND

Heartbeat-based cross-sectional area (CSA) changes in the right main pulmonary artery (MPA), which reflects its distensibility associated with pulmonary hypertension, can be measured using dynamic ventilation computed tomography (DVCT) in patients with and without chronic obstructive pulmonary disease (COPD) during respiratory dynamics. We investigated the relationship between MPA distensibility (MPAD) and respiratory function and how heartbeat-based CSA is related to spirometry, mean lung density (MLD), and patient characteristics.

METHODS

We retrospectively analyzed DVCT performed preoperatively in 37 patients (20 female and 17 males) with lung cancer aged 70.6 ± 7.9 years (mean ± standard deviation), 18 with COPD and 19 without. MPA-CSA was separated into respiratory and heartbeat waves by discrete Fourier transformation. For the cardiac pulse-derived waves, CSA change (CSAC) and CSA change ratio (CSACR) were calculated separately during inhalation and exhalation. Spearman rank correlation was computed.

RESULT

In the group without COPD as well as all cases, CSACR exhalation was inversely correlated with percent residual lung volume (%RV) and RV/total lung capacity (r = -0.68, p = 0.003 and r = -0.58, p = 0.014). In contrast, in the group with COPD, CSAC inhalation was correlated with MLDmax and MLD change rate (MLDmax/MLDmin) (r = 0.54, p = 0.020 and r = 0.64, p = 0.004) as well as CSAC exhalation and CSACR exhalation.

CONCLUSION

In patients with insufficient exhalation, right MPAD during exhalation was decreased. Also, in COPD patients with insufficient exhalation, right MPAD was reduced during inhalation as well as exhalation, which implied that exhalation impairment is a contributing factor to pulmonary hypertension complicated with COPD.

RELEVANCE STATEMENT

Assessment of MPAD in different respiratory phases on DVCT has the potential to be utilized as a non-invasive assessment for pulmonary hypertension due to lung disease and/or hypoxia and elucidation of its pathogenesis.

KEY POINTS

• There are no previous studies analyzing all respiratory phases of right main pulmonary artery distensibility (MPAD). • Patients with exhalation impairment decreased their right MPAD. • Analysis of MPAD on dynamic ventilation computed tomography contributes to understanding the pathogenesis of pulmonary hypertension due to lung disease and/or hypoxia in patients with expiratory impairment.

Using CT imaging features to predict visceral pleural invasion of non-small-cell lung cancer

AIM

To examine the diagnostic performance of different models based on computed tomography (CT) imaging features in differentiating the invasiveness of non-small-cell lung cancer (NSCLC) with multiple pleural contact types.

MATERIALS AND METHODS

A total of 1,573 patients with NSCLC (tumour size ≤3 cm) were included retrospectively. The clinical and pathological data and preoperative imaging features of these patients were investigated and their relationships with visceral pleural invasion (VPI) were compared statistically. Multivariate logistic regression was used to eliminate confounding factors and establish different predictive models.

RESULTS

By univariate analysis and multivariable adjustment, surgical history, tumour marker (TM), number of pleural tags, length of solid contact and obstructive inflammation were identified as independent risk predictors of pleural invasiveness (p=0.014, 0.003, <0.001, <0.001, and 0.017, respectively). In the training group, comparison of the diagnostic efficacy between the combined model including these five independent predictors and the image feature model involving the latter three imaging predictors were as follows: sensitivity of 88.9% versus 77% and specificity of 73.5% versus 84.1%, with AUC of 0.868 (95% CI: 0.848-0.886) versus 0.862 (95% CI: 0.842-0.880; p=0.377). In the validation group, the sensitivity and specificity of these two models were as follow: the combined model, 93.5% and 74.3%, the imaging feature model, 77.4% and 81.3%, and their areas under the curve (AUCs) were both 0.884 (95% CI: 0.842-0.919). The best cut-off value of length of solid contact was 7.5 mm (sensitivity 68.9%, specificity 75.5%).

CONCLUSIONS

The image feature model showed great potential in predicting pleural invasiveness, and had comparable diagnostic efficacy compared with the combined model containing clinical data.

Area-Detector Computed Tomography for Pulmonary Functional Imaging

An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation.

Preoperative evaluation of pleural adhesions with dynamic chest radiography: a retrospective study of 146 patients with lung cancer

AIM

To assess the utility of dynamic chest radiography (DCR) during the preoperative evaluation of pleural adhesions.

MATERIALS AND METHODS

Sequential chest radiographs of 146 patients with lung cancer were acquired during forced respiration using a DCR system. The presence of pleural adhesions and their grades were determined by retrospective surgery video assessment (absent: 121, present: 25). The maximum inspiration to expiration lung area ratio was used as an index for air intake volume. A ratio of ≥0.65 was regarded as insufficient respiration. Two radiologists assessed the images for pleural adhesions based on motion findings. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were compared for each adhesion grade and patient group (patients with sufficient/insufficient respiration). Pearson's chi-squared test compared the group. Statistical significance was set at p<0.05.

RESULTS

DCR correctly identified 22/25 patients with pleural adhesions, with 20 false-positive results (sensitivity, 88%; specificity, 83.5%; PPV, 52.4%; NPV, 97.12%). Although the diagnostic performances for the various adhesion grades were similar, specificity in patients with sufficient respiration increased to 93.9% (31/33), identifying all cases except for those with loose adhesions.

CONCLUSIONS

DCR images revealed restricted and/or distorted motions in lung structures and structural tension in patients with pleural adhesions. DCR could be a useful technique for routine preoperative evaluation of pleural adhesions. Further development of computerised methods can assist in the quantitative assessment of abnormal motion findings.

Preoperative evaluation of pleural adhesion in patients with lung tumors using four-dimensional computed tomography performed during natural breathing

The presence of pleural adhesions increases blood loss, occurrence of pulmonary fistulation due to lung injury, and operative time and may complicate thoracoscopic surgery. Recently, it has been reported that four-dimensional computed tomography (4D-CT) synchronized with breathing predicts pleural adhesion. These studies have been performed by asking the patients to maintain a constant respiratory rhythm at the time of scanning. However, many patients face difficulty in doing so, particularly elderly individuals and patients with respiratory dysfunction. We examined the utility of 4D-CT performed while maintaining a natural breathing pattern, which reduces patient burden, in detecting pleural adhesions.A total of 36 patients with a lung tumor near the pleura underwent 4D-CT during free breathing. The migration distance between the lesion and the nearest point on the chest wall on 4D-CT was measured. A sufficient distance indicated the absence of adhesion in that area. The presence of actual adhesions was evaluated and confirmed by intraoperative thoracoscopic findings.There were 7 cases determined to have adhesion by 4D-CT, and 4 of them had actual adhesions confirmed during surgery. The sensitivity and specificity were 80.0% and 90.3%, respectively. The mean migration distance of tumors was 0.8 ± 0.2 cm in the 5 cases with adhesion and 2.6 ± 1.8 cm in the 31 cases without adhesion (P = .01).These results suggest that 4D-CT is a convenient and useful technique for the preoperative assessment of pleural adhesion.

Preoperative prediction of the localization of a solitary fibrous tumor using four-dimensional computed tomography: a case report

Solitary fibrous tumors of the pleura (SFTP) are relatively rare primary pleural tumors. Four-dimensional computed tomography (4D-CT) is reportedly useful in assessing parietal pleural invasion and adhesion in patients with lung cancer. We report a case in which 4D-CT was performed to evaluate SFTP localization and parietal pleural invasion and adhesions. A 62-year-old female presented with an abnormality on a chest radiograph. Chest CT revealed a well-demarcated solid nodule in the left lower lobe adjacent to the pleura. We considered that the tumor was intrapulmonary or arose from the visceral pleura, without adhesion or invasion to the chest wall based on 4D-CT. Primary lung cancer was suspected, and the tumor was resected. Pathological diagnosis revealed an SFTP. This case suggests that 4D-CT is useful in predicting the localization of SFTP and other thoracic tumors, assessing chest wall adhesion and invasion, and making surgical strategies.

Correlation between pleural tags on CT and visceral pleural invasion of peripheral lung cancer that does not appear touching the pleural surface

OBJECTIVES

To evaluate the association between a sign and visceral pleural invasion (VPI) of peripheral non-small-cell lung cancer (NSCLC) that does not appear touching the pleural surface.

METHODS

A total of 221 consecutive patients with NSCLC that did not appear touching the pleural surface, ≤ 3 cm in solid tumor diameter, and was surgically resected between January 2009 and December 2015 were included. We focused on the flat distortion of the tumor caused by an arch-shaped linear tag between the tumor and the pleura on CT and named it a bridge tag sign. We evaluated the associations between the clinicopathological features of the tumor, including the bridge tag sign, and VPI. We also evaluated the associations between histopathological findings and the bridge tag sign. The utility of the bridge tag sign in the diagnosis of VPI was statistically assessed.

RESULTS

The bridge tag sign was observed in 48 (20.8%) patients. VPI was positive in 9 (4.1%) patients; among these, the bridge tag sign was positive in 8 patients. In multivariate analysis, a bridge tag sign was significantly associated with VPI. The bridge tag sign was associated with longer contact length of the pleura with the tumor and trapezoid type pleural retraction. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the bridge tag sign in the diagnosis of VPI were 88.9%, 83.5%, 83.7%, 18.6%, and 99.4%, respectively.

CONCLUSIONS

A bridge tag sign on CT might improve the accuracy of the prediction of VPI.

KEY POINTS

• We present the bridge tag sign which is defined as a flat distortion of an NSCLC tumor by an arch-shaped linear tag between the tumor and chest wall or interlobar fissure. • The bridge tag sign was an independent predictive factor for visceral pleural invasion. • The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the bridge tag sign in the diagnosis of visceral pleural invasion were 88.9%, 83.5%, 83.7%, 18.6%, and 99.4%, respectively.

Preoperative detection of pleural adhesions using pocket-sized ultrasound

BACKGROUND

Although preoperative detection of pleural adhesions is important in thoracic surgery, it is not widely performed. We report the availability of a pocket-sized ultrasound device for the preoperative detection of pleural adhesions.

METHODS

Between September 2019 and September 2020, pleural adhesions were assessed preoperatively using a pocket-sized ultrasound device in 62 patients who underwent thoracic surgery. Evaluations were performed using the Vscan Dual Probe on the wards or just before surgery in the operating theater. We used a linear probe to scan the chest wall where the incision was scheduled, and evaluated the sliding sign. We compared ultrasound results with intraoperative findings.

RESULTS

Of the 62 patients, the sliding sign was observed in 58 patients, 56 of whom demonstrated no pleural adhesions intraoperatively. The sensitivity was 96.6%. Four patients were negative for the sliding sign; of these, three had pleural adhesions and one did not. The specificity was 75.0%. Among all 62 patients, the diagnostic accuracy of ultrasound for pleural adhesions was 95.2%. False negatives were caused by loose adhesions. False positives were caused by the absence of vertical lines on ultrasound. Accuracy was not influenced by the timing of the test.

CONCLUSIONS

A pocket-sized ultrasound device was useful for the preoperative detection of pleural adhesions in thoracic surgery.

Pearls and pitfalls in lung cancer staging

Lung cancer is the third most common cancer in the UK and is the leading cause of death. Radiology plays a central role in the diagnostic work-up of patients with suspected and known lung cancer. Tumour assessment includes both local staging, as well as distant staging. Local staging objectives include the assessment of technical resectability with regard to the evaluation of tumour size and invasion of surrounding structures. Distant staging objectives aim to identify distant metastasis in lymphatic and extra lymphatic tissues. CT, positron emission tomography/CT, MRI, and ultrasound are routinely used imaging techniques for staging in patients with lung cancer. In this review, we will consider the pitfalls of these examinations that radiologists potentially face during the work-up of patients with lung cancer.

Preoperative assessment of localized pleural adhesion: Utility of software-assisted analysis on dynamic-ventilation computed tomography

PURPOSE

To assess the usefulness of software analysis using dynamic-ventilation CT for localized pleural adhesion (LPA).

MATERIALS AND METHODS

Fifty-one patients scheduled to undergo surgery underwent both dynamic-ventilation CT and static chest CT as preoperative assessments. Five observers independently evaluated the presence and severity of LPA on a three-point scale (non, mild, and severe LPA) for 9 pleural regions (upper, middle, and lower pleural aspects on ventral, lateral, and dorsal areas) on the chest CT by three different methods by observing images from: static high-resolution CT (static image); dynamic-ventilation CT (movie image), and dynamic-ventilation CT while referring to the adhesion map (movie image with color map), which was created using research software to visualize movement differences between the lung surface and chest wall. The presence and severity of LPA was confirmed by intraoperative thoracoscopic findings. Parameters of diagnostic accuracy for LPA presence and severity were assessed among the three methods using Wilcoxon signed rank test in total and for each of the three pleural aspects.

RESULTS

Mild and severe LPA were confirmed in 14 and 8 patients. Movie image with color map had higher sensitivity (56.9 ± 10.7 %) and negative predictive value (NPV) (91.4 ± 1.7 %) in LPA detection than both movie image and static image. Additionally, for severe LPA, detection sensitivity was the highest with movie image with color map (82.5 ± 6.1 %), followed by movie image (58.8 ± 17.0 %) and static image (38.8 ± 13.9 %). For LPA severity, movie image with color map was similar to movie image and superior to static image in accuracy as well as underestimation and overestimation, with a mean value of 80.2 %.

CONCLUSION

Software-assisted dynamic-ventilation CT may be a useful novel imaging approach to improve the detection performance of LPA.