International Journal For Multidisciplinary Research

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Computed Tomography Spectrum of Carcinoma Lung: A Case Series A Comprehensive Analysis of Radiological Findings and Metastatic Patterns

Author(s) Prof. Dr. Bhawana Sonawane, Dr. Sunita Bhutada, Dr. Sneha Sri, Dr. Pratik Deulkar
Country India
Abstract Abstract

Background: Lung cancer remains the premier cause of cancer-related mortality worldwide, necessitating precise diagnostic interventions for effective management. Computed tomography (CT) serves as a cornerstone in the initial detection, anatomical staging, and evaluation of metastatic spread in patients suspected of having bronchogenic carcinoma.

Purpose: This study sought to evaluate the CT imaging spectrum and diverse metastatic patterns of carcinoma lung in patients presenting to a tertiary care facility.

Materials and Methods: A retrospective observational study was conducted involving 23 patients whose CT findings were highly suggestive of primary lung malignancy. Data were extracted from CT scan records spanning from April 2019 to February 2025. The analysis focused on demographic characteristics, specific CT morphological features, and the presence of regional or distant metastatic disease.

Results: The study population showed a clear male predominance (approximately 70–75%) with a mean age of roughly 63 years. The majority of patients were in their sixth and seventh decades of life. CT imaging frequently identified primary lung masses consistent with bronchogenic carcinoma. Metastatic involvement was common and multifaceted, involving the mediastinal and hilar lymph nodes, pleura, and pulmonary parenchyma. Critical vascular involvement was also noted, including superior vena cava (SVC) abutment and thrombosis.

Conclusion: CT imaging is indispensable for identifying primary lung malignancies and characterizing the extent of nodal and distant spread. Recognizing these characteristic imaging patterns is essential for accurate staging and informing management strategies.
Keywords CT, METASTASIS
Field Biology > Medical / Physiology
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-11
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E-ISSN 2582-2160
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