Possible Delayed Cut-End Recurrence After Limited Resection for Ground-Glass Opacity Adenocarcinoma, Intraoperatively Diagnosed as Noguchi Type B, in Three Patients
ABSTRACT In our limited resection trial of pulmonary peripheral ground-glass opacity (GGO) lesions from 1998 to 2002, limited resection of Noguchi type A and B carcinomas seemed to have a positive outcome. However, recently three of the 24 patients, with mixed GGO lesions intraoperatively diagnosed as type B, developed a solid lesion at the cut-end scar.
Medical records and radiology and pathology findings of the three patients were reviewed. We also analyzed epidermal growth factor receptor gene mutations when possible.
Radiologically, these three second tumors were clearly cut-end scar area recurrences. However, other pathologic and mutation findings suggest metachronous primary cancers developed in Case 1, cut-end recurrence in Case 2, and needle biopsy implantation in Case 3. It is difficult to definitively conclude whether the second tumors were recurrences or metachronous primaries.
These second tumors have convinced us that our initial caution in concluding GGO lesions can be cured by limited resection was very appropriate. The recurrences definitely indicate that continuing follow-up attention for more than 5 years is needed after limited resection even for GGO bronchioloalveolar carcinomas.
Article: Clearing Up OpacitiesChest 01/2014; 145(1):9-10. DOI:10.1378/chest.13-1765 · 7.13 Impact Factor
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ABSTRACT: In 2011 the International Association for the Study of Lung Cancer (IASLC), the American Thoracic Society (ATS), and the European Respiratory Society (ERS), have proposed a new subclassification of lung adenocarcinomas. This new classification was founded on an evidence-based approach to a systematic review of 11,368 citations from the related literature. Validation has involved projects relating to histologic and cytologic analysis of small biopsy specimens, histologic subtyping, grading, and observer variation among expert pathologists. As enormous resources are being spent on trials involving molecular and therapeutic aspects of adenocarcinoma of the lung, the development of standardized criteria is of great importance and should help advance the field, increasing the impact of research, and improving patient care. This classification is needed to assist in determining patient therapy and predicting outcome. The 2011 IASLC/ATS/ERS adenocarcinoma classification can have an impact on TNM staging. It may help in comparing histologic characteristics of multiple lung adenocarcinomas to determine whether they are intrapulmonary metastases versus separate primaries. Use of comprehensive histologic subtyping along with other histologic characteristics has been shown to have good correlation with molecular analyses and clinical behavior. Also, it may be more meaningful clinically to measure tumor size in lung adenocarcinomas that have a lepidic component by using invasive size rather than total size to determine the size T factor.10/2014; 6(Suppl 5):S561-7. DOI:10.3978/j.issn.2072-1439.2014.08.25
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ABSTRACT: Purpose: Preoperative radiological predictions of pathological invasiveness must be objective and reproducible in addition to being accurate when considering limited surgery for early lung cancer.Methods: Two cohorts were used for the analysis. Two independent observers traced lesion edges and measured areas and proportions of solid component on tumor images with the largest diameter by high resolution computed tomography images and "Image J" software.Results: The value of the intraclass correlation was 0.997 (95% confidence interval [CI], 0.996-0.998) for the area of solid component and 0.979 (95%CI, 0.958-0.986) for the proportion of solid component, suggesting such parameters were reliable in terms of reproducibility. Az value was 0.898 (95%CI, 0.842-0.953) for the area of solid component and 0.882 (95%CI, 0.816-0.949) for the proportion of solid component, demonstrating 2 parameters were both highly predictive of non-invasive adenocarcinoma. The optimal prediction of non-invasive adenocarcinoma with a cut-off value of 7.5 mm(2) for the area of solid component resulted in a sensitivity of 85.3% and specificity of 86.2% in Cohort 1 and a sensitivity of 66.7% and specificity of 88.5% in Cohort 2.Conclusion: Image analysis using "Image J" software was promising for predicting non-invasive adenocarcinoma with its limited inter-observer variability and high predictive performance.04/2014; 21(1). DOI:10.5761/atcs.oa.13-00252