Virtual sonography for novice sonographers: usefulness of SYNAPSE VINCENT® with pre-check imaging of tumor location

Findings of virtual bronchoscopic navigation can predict the diagnostic rate of primary lung cancer by bronchoscopy in patients with peripheral lung lesions

BACKGROUND

Despite being minimally invasive, bronchoscopy does not always result in pathological specimens being obtained. Therefore, we investigated whether virtual bronchoscopic navigation (VBN) findings were associated with the rate of diagnosis of primary lung cancer by bronchoscopy in patients with peripheral lung lesions.

METHODS

This study included patients with suspected malignant peripheral lung lesions who underwent bronchoscopy at St. Luke's International Hospital between October 2013 and March 2020. Patients diagnosed with primary lung cancer were grouped according to whether their pathology could be diagnosed by bronchoscopy, and their clinical factors were compared. In addition, the distance between the edge of the lesion and the nearest branch ("distance by VBN") was calculated. The distance by VBN and various clinical factors were compared with the diagnostic rates of primary lung cancer.

RESULTS

The study included 523 patients with 578 lesions. After excluding 55 patients who underwent multiple bronchoscopies, 381 patients were diagnosed with primary lung cancer. The diagnostic rate by bronchoscopy was 71.1% (271/381). Multivariate analysis revealed that the lesion diameter (odds ratio [OR] 1.107), distance by VBN (OR 0.94) and lesion structure (solid lesion or ground-glass nodule; OR 2.988) influenced the risk of a lung cancer diagnosis. The area under the receiver operating characteristic curve for diagnosis based on lesion diameter and distance by VBN was 0.810.

CONCLUSION

The distance by VBN and lesion diameter were predictive of the diagnostic rates of primary lung cancer by bronchoscopy in patients with peripheral lung lesions.

Reproducibility of peripheral branches in virtual bronchoscopic navigation using VINCENT and LungPoint software for peripheral lung lesions

BACKGROUND

Recently, virtual bronchoscopic navigation (VBN) has become frequently used for the pathological specimen collection of peripheral lung lesions using various VBN software packages. Herein, we examined the reproducibility of peripheral branches in VBN software using LungPoint and VINCENT versions 4.0 and 5.5.

METHODS

This study included patients suspected of malignant peripheral lung lesions who underwent bronchoscopy at our hospital from February 2016 to April 2017. Computed tomography was taken at a thickness of 1.25 mm in all cases, and VB images were created based on the computed tomography data using LungPoint, or VINCENT version 4.0 or 5.5. One observer read the program-generated VB images and compared how many branches could be visualized with the lobe bronchus as the primary branch.

RESULTS

A total of 129 patients (n = 131 lesions) underwent bronchoscopy, with 82 cases of primary lung cancer. Pathological bronchoscopic diagnosis was done in 63 cases, resulting to a diagnostic rate of 76.8%. VB images generated by LungPoint, and VINCENT versions 4.0 and 5.5 reproduced an average of 4.3, 3.47, and 5.12 branches, respectively, with significant differences (p < 0.05) between them.

CONCLUSIONS

VINCENT version 5.5 exhibits better reproducibility of peripheral branches than LungPoint for VBN.

Ultrasonography surveillance improves prognosis of patients with hepatocellular carcinoma

To examine the effectiveness of ultrasonography (US) for hepatocellular carcinoma (HCC) surveillance, the prognosis of HCC patients who underwent such screening at an expert medical institution or at general clinics were analyzed, as well as those without US surveillance. From October 2006 to December 2014, 872 patients with naïve HCC were enrolled and divided into the surveillance (S)-group (n=398), who underwent follow-up examinations with US, and the non-S group (n=474). The S-group was further subdivided into patients who underwent follow-up surveillance at Ehime Prefectural Central Hospital, an expert medical institution (SE-group, n=189), and those who received surveillance at general clinics (SG-group, n=209). Prognosis and clinical characteristics were analyzed. In the non-S group, the frequency of patients without viral hepatitis (NBNC-HCC) and Tumor, Node, Metastasis stage was greater. As a result, the median survival time (MST) of the non-S group was reduced, compared with the S group (non-S group, 34.1 vs. S group, 68.2 months; P<0.001). Tumor size was significantly different between the SE- and SG-groups (SE-group, 2.0±1.0 vs. SG-group, 2.5±1.3 cm; P<0.001), whereas tumor number (SE-group: 1.5±1.1 vs. SG-group, 1.7±1.2; P=0.164) and MST (SE-group, 72.1 vs. SG-group, 67.1 months; P=0.931) were not significantly different. Surveillance performed at either an expert medical institution or general clinic improved the prognosis of HCC patients. Dissemination of findings demonstrating the importance of surveillance for HCC to all clinicians as well as patients with chronic liver disease is important, and establishment of an effective surveillance strategy for NBNC-HCC is required.

Prediction of Embolization Area after Conventional Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma Using SYNAPSE VINCENT

PURPOSE

Transcatheter arterial chemoembolization (TACE) is one of the most effective therapeutic options for hepatocellular carcinoma (HCC) and it is important to protect residual liver function after treatment as well as the effect. To reduce the liver function deterioration, we evaluated the automatic software to predict the embolization area of TACE in 3 dimensions.

MATERIALS AND METHODS

Automatic prediction software of embolization area was used in chemoembolization of 7 HCCs. Embolization area of chemoembolization was evaluated within 1 week CT findings after TACE and compared simulated area using automatic prediction software.

RESULTS

The maximal diameter of these tumors is in the range 12-42 mm (24.6 ± 9.5 mm). The average time for detecting tumor-feeding branches was 242 s. The total time to detect tumor-feeding branches and simulate the embolization area was 384 s. All cases could detect all tumor-feeding branches of HCC, and the expected embolization area of simulation with automatic prediction software was almost the same as the actual areas, as shown by CT after TACE.

CONCLUSION

This new technology has possibilities to reduce the amount of contrast medium used, protect kidney function, decrease radiation exposure, and improve the therapeutic effect of TACE.