Impact of ground glass opacity in a three-dimensional analysis for pathological findings and prognosis in stage IA pure solid lung cancer

BACKGROUND

We investigated whether a three-dimensional (3D) analysis could correct the discrepancy between conventional computed tomography findings and pathological findings and contribute to prognostic stratification in early pure solid lung cancer.

METHODS

A total of 370 patients with two-dimensional (2D) pure solid, clinical stage IA non-small cell lung cancer (NSCLC) who underwent complete resection at our hospital between January 2010 and March 2021 were included in the present study. We classified the patients into the 3D solid group and the 3D ground glass opacity (GGO) group according to the consolidation volume/tumor volume ratio (C/T volume ratio) measured using a Synapse Vincent 3D analysis workstation, and compared the pathological findings and prognosis between the two groups.

RESULTS

There were 142 (38.4%) patients in the 3D GGO group. Lepidic lesions were significantly more frequent in the 3D GGO group (27.6% vs. 59.2%, P<0.001). Lymphatic invasion, vascular invasion and lymph node metastasis were significantly more frequent in the 3D solid group (52.2% vs. 27.5%, P<0.001; 67.5% vs. 43.0%, P<0.001; 22.3% vs. 11.2%, P=0.04). A Cox proportional hazards multivariate analysis for overall survival (OS) and recurrence-free survival (RFS) showed that 3D solid was an independent poor prognostic factor [hazard ratio (HR): 1.981, P=0.02; HR: 1.815, P=0.02]. Kaplan-Meier curves for 5-year OS (74.1% vs. 87.8%, P<0.001) and 5-year RFS (65.6% vs. 84.9%, P<0.001) showed significant differences between the two groups.

CONCLUSIONS

The C/T volume ratio determined by a 3D analysis detects GGO and reflects the pathological findings, and further prognostic stratification is possible in early 2D pure solid lung cancer.

Pathologically noninvasive cancer predictors and surgical procedure for peripheral lung cancer

BACKGROUND

In this retrospective study, based on recent studies reporting the superiority of sublobar resection to lobectomy for peripheral small size non-small cell lung cancer (NSCLC), we investigated the optimal pathological factors for predicting noninvasive cancer and the selection of operative procedure.

METHODS

Patients with peripheral NSCLC of ≤2 cm who underwent surgery at our hospital between January 2010 and June 2020 were included in this study. We evaluated the relationship between pathologically noninvasive cancer and predictive factors according to the area under the curve (AUC) and accuracy, and the cutoff value was set to investigate indications for sublobar resection.

RESULTS

The comparison of the AUCs revealed that the maximum standardized uptake value and consolidation to tumor (C/T) volume ratio were better predictors than the C/T ratio. Among the three factors, the C/T volume ratio showed the best accuracy. The patients were divided into two groups (low and high) using the cutoff value of the C/T volume ratio and compared according to the surgical procedure (lobectomy vs. segmentectomy). In the low-group, there was no significant difference in the prognosis. In the high-group, the 5-year recurrence-free survival rate of the patients who received lobectomy was 87.8%, while that of patients who received segmentectomy was 75.8% (p = 0.08).

CONCLUSIONS

The C/T volume ratio was the best preoperative pathologically noninvasive predictive factor. Sublobar resection should be performed with caution in cases with significant solid components on three-dimensional images.

The utility of three-dimensional computed tomography for prediction of tumor invasiveness in clinical stage IA lung adenocarcinoma

Background

It is critical to have an accurate measurement of solid tumor size in order to predict the invasiveness of small lung adenocarcinomas. Some lesions cannot be measured accurately via High-resolution computed tomography (HRCT) due to their irregular shape and unclear borders. For this reason, we evaluated the relative efficacy of three-dimensional (3D) CT for predicting invasive adenocarcinoma.

Methods

We evaluated 195 patients with clinical stage IA adenocarcinomas, including 109 with lesions documented as invasive that were surgically resected at our institute during 2017. All lesions were categorized as either (I) lesions that were difficult to evaluate (i.e., hazy lesions; HL) or (II) more typical lesions (TL). The relationships between solid tumor size as determined by HRCT, solid tumor volume as determined by 3D CT and pathologic diagnosis were evaluated.

Results

Fifty-seven patients (29%) were diagnosed with HL. We set the cut-off value for the solid volume at 225 mm³ as predictive for invasive adenocarcinoma. When evaluating all 195 patients as a group, the accuracy, sensitivity, and specificity based on the solid tumor volume were similar to those based on the solid tumor size. When we limit our analysis to the HL group, the specificity based on solid tumor volume (65.5%) was higher than that based on solid tumor size (44.8%) with a difference that approached statistical significance (P=0.070).

Conclusions

3D CT was equivalent to HRCT for predicting invasive adenocarcinoma and may be particularly useful for diagnosing lesions that are difficult to evaluate on HRCT.

Laparoscopic upper-pole heminephrectomy for duplicated renal collecting system with superselective artery clamping using virtual partial nephrectomy analysis of Synapse Vincent: A case report

A 22-year-old woman was diagnosed with a duplicated renal collecting system with hydronephrosis and parenchymal loss in the upper pole of the left kidney. She underwent laparoscopic left upper-pole nephrectomy. Although a complex hilar vascular anatomy was identified during the operation, preoperative three-dimensional computed tomographic reconstruction using a three-dimensional image analysis device (Synapse Vincent; Fuji Medical Systems, Tokyo, Japan) greatly helped to accurately identify the anatomical renal hilum. For further detail, virtual partial nephrectomy analysis using a Voronoi decomposition was used to visualize the area supplied by a selected arterial branch including the atrophic cleavage line. We controlled the bleeding with selective clamping and safely carried out upper-pole heminephrectomy according to the preoperative plan.