Virtual Library

Start Your Search

T. Miyoshi



Author of

  • +

    O09 - General Thoracic Surgery (ID 100)

    • Event: WCLC 2013
    • Type: Oral Abstract Session
    • Track: Surgery
    • Presentations: 1
    • +

      O09.05 - Intraoperative autostapling cartridge lavage cytology in surgical resection of pulmonary malignant tumors - possible role in preventing local failure (ID 2543)

      17:00 - 17:10  |  Author(s): T. Miyoshi

      • Abstract
      • Presentation
      • Slides

      Background
      Limited resection of primary lung cancer or sublobar resection of pulmonary metastatic tumor can result in cut-end recurrence. It is important to confirm the absence of tumor cells at the cut-end. Since 2004, all autostapling cartridges used for wedge or segmental resection of pulmonary malignancies are washed with 50 ml saline. Washing saline is centrifuged and the sediment is stained using Papanicolaou’s method and examined for cancer cells during surgery to confirm negative margin. The aim of this study is to evaluate the efficacy of the intraoperative autostapling cartridge lavage cytology in preventing surgical cut-end recurrence.

      Methods
      The intraoperative cytology analysis was performed in 271 patients undergoing wedge or segmental resection for 319 lesions including primary lung cancers and pulmonary metastatic tumors between April 2004 and April 2010. We retrospectively reviewed the clinicopathologic features of patients with positive cytology results and those who developed recurrence at the surgical margins.

      Results
      The median age of the 271 patients at surgery was 67 years (range: 31−92 years). The median size of the 319 lesions was 1.4 cm (range: 0.4−3.5 cm), and there were 149 primary lung cancers and 170 pulmonary metastatic tumors (primary site: 116 colorectal and 54 others). Twenty-two lesions (7%) showed positive cytology results (11 primary and 11 metastatic). In primary lung cancers, tumor size (≧ 21 mm, p = 0.02), moderate to poor differentiation (p < 0.01), vascular invasion or lymphatic permeation (p < 0.01), and visceral pleural invasion (p < 0.01) were significant predictors of a positive result. In contrast, there were no significant predictors in pulmonary metastatic tumors. The cut-ends of the 19 lesions among the 22 positive cytology margin lesions were additionally resected, but those of the remaining 3 lesions were not because of impaired respiratory function. With the median follow-up period of 42 months, surgical cut-end recurrence occurred in 2 of the 19 lesions for which additional resection had been performed (11%, 1 primary and 1 metastatic). Of the 3 lesions for which additional resection was impossible, cut-end recurrence developed in 2 (67%, 1 primary and 1 metastatic). Among the 297 lesions showing negative cytology result, cut-end recurrence occurred in 5 (2%, 4 primary and 1 metastatic).

      Conclusion
      Intraoperative autostapling cartridge lavage cytology in sublobar resection for primary or metastatic lung tumor may be useful in preventing surgical cut-end recurrence.

      Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.

  • +

    P1.19 - Poster Session 1 - Imaging (ID 179)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Imaging, Staging & Screening
    • Presentations: 1
    • +

      P1.19-005 - Computer-aided lung nodule analysis focused on ground glass opacity and consolidation on thin-section computed tomography. (ID 1447)

      09:30 - 09:30  |  Author(s): T. Miyoshi

      • Abstract

      Background
      Ground-glass opacity (GGO) component in a nodule on thin-section computed tomography (TSCT) often corresponds to a lepidic growth pattern of adenocarcinoma. In contrast, solid attenuation or consolidation on TSCT corresponds to invasive components. Many researchers reported consolidation tumor ratio (CTR; defined as the ratio of the size of solid attenuation to the maximum tumor dimension) was a reliable parameter in predicting tumor invasiveness. However, it has been pointed out that inter-/intra-observer variability in CTR measurement is a major problem in precise and reproducible evaluation of tumor characteristics. The aim of this study was to determine the optimal CT settings to reproducibly diagnose GGO and consolidation areas on TSCT by using an imaging software.

      Methods
      We reviewed preoperative TSCT images of the patients undergoing surgical resection for T1 lung adenocarcinoma in our institution between 2005 and 2009. The TSCT images were obtained without contrast enhancement and reconstructed in 1.0 or 2 mm thickness, using several CT systems. The imaging software colored GGO areas with cut-off CT levels of -800, -700 and -600 HU. Consolidation areas were colored with cut-off CT levels of -300, -200 and -100 HU. These GGO/consolidations identified by the software were compared with those visually determined by the consensus of the 4 authors (EY, KA, YM, HO). The 4 authors scored the correspondence between visual evaluation and software identification according to the cut-off levels. The scores were summarized to determine the optimal cut-off CT levels.

      Results
      We have reviewed 20 patients so far. Figure 1 shows a TSCT image and software-yielded image showing good correspondence with each other of GGO and consolidation areas. The best score was obtained when the cut-off level was -700 HU for GGO and -200 HU for consolidation. Figure1. Figure 1

      Conclusion
      Although based on a small cohort, we found optimal cut-off CT levels to identify GGO and consolidation areas using an imaging software. We need to analyze more cases, but this image analysis method is promising in determining CTR reproducibly.