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OBJECTIVES: Distinguishing solid nodules from nodules with ground-glass lesions in lung cancer is a critical diagnostic challenge, especially for tumors ≤2 cm. Human assessment of these nodules is associated with high inter-observer variability, which is why an objective and reliable diagnostic tool is necessary. This study focuses on artificial intelligence (AI) to automatically analyze such tumors and to develop prospective AI systems that can independently differentiate highly malignant nodules. MATERIALS AND METHODS: Our retrospective study analyzed 246 patients who were diagnosed with negative clinical lymph node metastases (cN0) using positron emission tomography-computed tomography (PET/CT) imaging and underwent surgical resection for lung adenocarcinoma. AI detected tumor sizes ≤2 cm in these patients. By utilizing AI to classify these nodules as solid (AI_solid) or non-solid (non-AI_solid) based on confidence scores, we aim to correlate AI determinations with pathological findings, thereby advancing the precision of preoperative assessments. RESULTS: Solid nodules identified by AI with a confidence score ≥0.87 showed significantly higher solid component volumes and proportions in patients with AI_solid than in those with non-AI_solid, with no differences in overall diameter or total volume of the tumors. Among patients with AI_solid, 16% demonstrated lymph node metastasis, and a significant 94% harbored invasive adenocarcinoma. Additionally, 44% were upstaging postoperatively. These AI_solid nodules represented high-grade malignancies. CONCLUSION: In small-sized lung cancer diagnosed as cN0, AI automatically identifies tumors as solid nodules ≤2 cm and evaluates their malignancy preoperatively. The AI classification can inform lymph node assessment necessity in sublobar resections, reflecting metastatic potential.
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Adenocarcinoma del Pulmón , Inteligencia Artificial , Neoplasias Pulmonares , Tomografía Computarizada por Tomografía de Emisión de Positrones , Humanos , Masculino , Estudios Retrospectivos , Femenino , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/cirugía , Adenocarcinoma del Pulmón/patología , Adenocarcinoma del Pulmón/diagnóstico por imagen , Adenocarcinoma del Pulmón/cirugía , Anciano , Persona de Mediana Edad , Tomografía Computarizada por Tomografía de Emisión de Positrones/métodos , Tomografía Computarizada por Rayos X/métodos , Nódulos Pulmonares Múltiples/diagnóstico por imagen , Nódulos Pulmonares Múltiples/patología , Nódulos Pulmonares Múltiples/cirugía , Adulto , Anciano de 80 o más Años , Metástasis Linfática/diagnóstico por imagenRESUMEN
BACKGROUND: Pulmonary sequestration is a rare pulmonary malformation, with intralobar pulmonary sequestration being the most common subtype. Lobectomy has generally been performed for its treatment, owing to unclear boundaries of the lesion. However, recent reports have introduced lung resection using intravenous indocyanine green (ICG) as a treatment for pulmonary sequestrations. CASE DESCRIPTION: A 34-year-old woman presented with chest pain, and enhanced chest computed tomography (CT) displayed a solid mass of 4.5 × 3.1 cm in the right S10 area. An aberrant artery was found running from the celiac artery through the diaphragm to the thoracic cavity. The patient was diagnosed as having pulmonary sequestration Pryce type III, and surgical resection was performed. Intrathoracic findings demonstrated that the precise area of the pulmonary sequestration could not be clearly identified, and a 5-mm aberrant artery was present in the pulmonary ligament. Following the separation of the aberrant artery, intravenous injection of ICG clearly delineated the border between the normal lung tissue and the pulmonary sequestration. Wedge resection was then performed without any postoperative events, and the pathological diagnosis was also pulmonary sequestration. CONCLUSIONS: We herein reported a case of a patient who underwent sublobar resection for intrapulmonary sequestration using intravenous ICG injection, together with a literature review. Our case suggests that a comprehensive understanding of abnormal vessels and pulmonary vasculature in pulmonary resection for intrapulmonary sequestrations, complemented with the use of ICG, might potentially avoid unnecessary pulmonary resection and enable sublobar surgical resection.
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A 51-year-old man who noticed discomfort in the pharynx was found to have a tracheal tumor on physical examination. He was diagnosed as having adenoid cystic carcinoma by a transbronchial biopsy and underwent tracheal segmental resection via a collar incision. He was additionally treated with radiation therapy owing to a positive surgical margin, and he subsequently developed anastomotic tracheal stenosis. Silicon stent placement to open the airway was performed for the tracheal stenosis. One year after stent placement, the trachea was dilated, so the stent was removed, and he is still under follow-up without recurrence free 1.5 years after stent replacement.
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A 71-year-old man was diagnosed as having right primary lung squamous cell carcinoma, clinical stage IIIA, but he refused treatment. However, the right upper lobe nodule and lymph node (LN) #4R showed gradual shrinking without treatment. Four years after the diagnosis, a new nodule was detected in the left lung field. We considered that this new nodule might be metachronous primary lung cancer, and hence resected it for diagnosis and treatment. The tumor in the left lung was diagnosed as basaloid squamous cell carcinoma, and that in LN #4R was diagnosed as squamous cell carcinoma with keratinization. Therefore, the patient was diagnosed as having metachronous primary lung cancer that developed during the spontaneous regression of locally advanced lung cancer.
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BACKGROUND: We seek to explore the ability of computed tomography (CT)-based radiomics coupled with artificial intelligence (AI) to predict early recurrence (< 2 years after surgery) in patients with clinical stage 0-IA non-small cell lung cancer (c-stage 0-IA NSCLC). PATIENTS AND METHODS: Data of 642 patients were collected for early recurrence and assigned to the derivation and validation cohorts at a ratio of 2:1. Using the AI software Beta Version (Fujifilm Corporation, Japan), 39 AI imaging factors, including 17 factors from the AI ground-glass nodule analysis and 22 radiomic features from nodule characterization analysis, were extracted. RESULTS: Multivariate analysis showed that male sex (p = 0.016), solid part size (p < 0.001), CT value standard deviation (p = 0.038), solid part volume ratio (p = 0.016), and bronchus translucency (p = 0.007) were associated with recurrence-free survival (RFS). Receiver operating characteristics analysis showed that the area under the curve and optimal cutoff values relevant to recurrence were 0.707 and 1.49 cm for solid part size, and 0.710 and 22.9% for solid part volume ratio, respectively. The 5-year RFS rates for patients in the validation set with solid part size ≤ 1.49 cm and > 1.49 cm were 92.2% and 70.4% (p < 0.001), whereas those for patients with solid part volume ratios ≤ 22.9% and > 22.9% were 97.8% and 71.7% (p < 0.001), respectively. CONCLUSIONS: CT-based radiomics coupled with AI contributes to the noninvasive prediction of early recurrence in patients with c-stage 0-IA NSCLC.
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Carcinoma in Situ , Carcinoma de Pulmón de Células no Pequeñas , Neoplasias Pulmonares , Humanos , Masculino , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/cirugía , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico por imagen , Carcinoma de Pulmón de Células no Pequeñas/cirugía , Carcinoma de Pulmón de Células no Pequeñas/patología , Inteligencia Artificial , Estadificación de Neoplasias , Tomografía Computarizada por Rayos X/métodos , Estudios RetrospectivosRESUMEN
Castleman's disease with calcification of the chest wall is very rare, and there have been few reports of such cases to date. A 57-year-old woman was referred to our hospital for a tumor with calcification on her left lateral chest wall, which was detected on chest computed tomography. Findings of her chest magnetic resonance imaging suggested schwannoma or a solitary fibrous tumor, and therefore, we performed surgery for diagnostic and therapeutic purposes. Pathologically, the tumor with calcification was diagnosed as Castleman's disease of the hyaline-vascular type. After the surgery, the patient has had no obvious symptoms and continues to undergo regular follow-up examinations.
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A 51-year-old man was found to have multiple polypoid tracheal and bilateral main bronchial tumors during postoperative follow-up of atypical carcinoid. He underwent transtracheal biopsy, and was diagnosed as having central airway metastases of the atypical carcinoid. He underwent chemotherapy, but the effects were unfavorable. Owing to the risk of airway obstruction, he was referred to our hospital for interventional bronchoscopy. Carcinoid tumors usually present as peripheral lung lesions or solitary endobronchial abnormalities, but rarely appear as multiple central airway lesions. We present a very rare case of multiple central airway metastases of atypical carcinoid, controlled by bronchoscopic treatment.
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INTRODUCTION: Pulmonary pleomorphic carcinoma (PC) is a rare non-small cell lung carcinoma (NSCLC) and is characterized by sarcomatoid and NSCLC components. This study aimed to characterize the association between immune microenvironmental factors and clinicopathological characteristics of PC. METHODS: Eighty consecutive PC patients who had undergone complete surgical resection were enrolled. We calculated the immunohistochemical staining scores for E-cadherin, vimentin, programmed death ligand 1 (PD-L1), and carbonic anhydrase IX in cancer cells and counted the numbers of CD204-positive tumor-associated macrophages (TAMs) and Foxp3-, CD8-, and CD20-positive tumor-infiltrating lymphocytes (TILs). We also examined the association between these scores and the prognostic outcomes. RESULTS: The staining score for PD-L1 in cancer cells and the number of CD204-positive TAMs in the sarcomatoid component were significantly higher than those in the NSCLC component; E-cadherin score in the sarcomatoid component was significantly lower. Patients with high PD-L1 expression in the NSCLC component had significantly longer overall survival (OS) and recurrence-free survival (RFS) than those with low PD-L1 expression in the NSCLC component (OS: pâ¯=â¯0.001, RFS: pâ¯=â¯0.038). Multivariate analysis revealed that high PD-L1 expression in the NSCLC component was an independent favorable prognostic factor for OS (pâ¯=â¯0.018), whereas high PD-L1 expression in the sarcomatoid component was not. The number of CD8-positive TILs was significantly higher in the high PD-L1 expression group than in the low expression group (NSCLC components: pâ¯<â¯0.001). CONCLUSION: High PD-L1 expression in the NSCLC component may be associated with a favorable prognostic value in pulmonary PC.