Original article: general thoracicResults of wedge resection for focal bronchioloalveolar carcinoma showing pure ground-glass attenuation on computed tomography
Section snippets
Patients
Between July 1996 and June 2001, 17 patients with focal peripheral BAC showing pure GGA on thin-section CT underwent pulmonary resection. GGA was defined as a hazy increased attenuation of the lung without obscuration of the underlying vascular marking [8].
Preoperative investigations
When a round-shaped GGA without central scar formation was detected on thin-section CT (Fig 1), repeat CT was performed 3 months later on suspicion of focal BAC. If the tumor size had increased or was unchanged, surgery was planned because
Patient characteristics
The patient characteristics are shown in Table 1. The patient population consisted of 4 men and 13 women with a mean age of 57.2 ± 10.5 years (range 39 to 72) at the time of surgery. All patients were asymptomatic and detected by chest CT scan. Among these patients, four lesions were detected in a CT mass-screening program, which we started on May 1997, and the remaining 13 patients were incidentally detected on CT during follow-up for other diseases. Fourteen (82.4%) patients had no smoking
Comment
Bronchioloalveolar carcinoma is considered to be one of the adenocarcinoma subtypes. The increasing incidence of BAC seems to be contributing to the dramatic rise in the number of cases of adenocarcinoma [9]. Although the original report of BAC described patients with advanced bilateral pulmonary tumors, more recent studies on BAC have focused on patients with early stage disease 10, 11.
The pathologic features of BAC are the presence of aerogenous spread and advance along the alveolar wall [12]
References (25)
- et al.
Bronchial carcinoma. Histopathologic study of evolution in a series of 105 surgically treated patients
Chest
(1998) - et al.
Bronchioloalveolar carcinomaclinical, radiologic, and pathologic factors and survival
J Thorac Cardiovasc Surg
(1999) - et al.
Prognostic significance of the size of central fibrosis in peripheral adenocarcinoma of the lung
Ann Thorac Surg
(2000) - et al.
Bronchioloalveolar carcinoma of the lungrecurrences and survival in patients with stage I disease
J Thorac Cardiovasc Surg
(2001) - et al.
Early results of a prospective study of limited resection for bronchioloalveolar adenocarcinoma of the lung
Ann Thorac Surg
(2001) - et al.
Mass screening for lung cancer with mobile spiral computed tomography scanner
Lancet
(1998) Radical lobectomy
J Thorac Cardiovasc Surg
(1960)- et al.
Randomized trial of lobectomy versus limited resection for T1N0 non-small cell lung cancer
Ann Thorac Surg
(1995) - et al.
Prognostic value of bronchiolo-alveolar carcinoma component of small lung adenocarcinoma
Ann Thorac Surg
(1999) - et al.
Clinical features of patients with stage IIIB and IV bronchioloalveolar carcinoma of the lung
Cancer
(1999)
Prognostic implications of fibrotic focus (scar) in small peripheral lung cancer
Am J Surg Pathol
Bronchioloalveolar carcinomafocal area of ground-glass attenuation at thin-section CT as an early sign
Radiology
Cited by (157)
A single-arm study of sublobar resection for ground-glass opacity dominant peripheral lung cancer
2022, Journal of Thoracic and Cardiovascular Surgery3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation
2021, Computerized Medical Imaging and GraphicsCitation Excerpt :The new classification has a significant impact on patient therapy options and follow-up because prognosis varies widely among the different pathologic subtypes (Travis et al., 2011b, 2013). It has been shown in recent studies that patients with early-stage AIS and MIA have a disease-free survival rate of almost 100%, while patients with IACs have a disease-free survival rate of 60–70% (Watanabe et al., 2002; Vazquez et al., 2009; Borczuk et al., 2009; Yim et al., 2007), necessitating the need for accurate classification of GGNs for planning the therapy option and the extent of resection. Traditional computer-aided diagnosis (CAD) methods utilize various feature extraction protocols to quantify the appearance of nodules on diagnostic computed tomography (CT) images, and machine learning algorithms have been employed to classify the nodules.
Long-term survival outcome after lobectomy in patients with clinical T1 N0 lung cancer
2021, Journal of Thoracic and Cardiovascular SurgeryShould Pathologically Noninvasive Lung Adenocarcinoma Larger Than 3 cm Be Classified as T1a?
2019, Annals of Thoracic SurgeryGround Glass Lesions on Chest Imaging: Evaluation of Reported Incidence in Cancer Patients Using Natural Language Processing
2019, Annals of Thoracic Surgery