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Updated: Jul 7, 2026

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Endobronchial Ultrasound-guided Intratumoral Injection of Cisplatin for the Treatment of Isolated Mediastinal Recurrence of Lung Cancer
Published on: February 12, 2017
Imaging of recurrent lung cancer
Naama R Bogot1, Leslie E Quint
1Department of Radiology, Haddasah University Hospital, Kiryat Hadassah, Jerusalem, Israel. nbogot@med.umich.edu
Summary
Recurrence after non-small cell lung cancer surgery is common. Follow-up imaging is crucial for detecting both cancer recurrence and new primary lung tumors.
Area of Science:
- Oncology
- Radiology
- Thoracic Surgery
Background:
- Local, regional, and distant tumor recurrence frequently occurs after surgical resection for non-small cell lung cancer (NSCLC).
- Understanding recurrence patterns is vital for distinguishing them from post-operative and post-radiation changes.
- Factors such as preoperative tumor stage, histology, and surgical approach influence recurrence risk and type.
Purpose of the Study:
- To highlight the importance of recognizing patterns of tumor recurrence after NSCLC resection.
- To emphasize the need for vigilant follow-up to detect both recurrent and new primary lung cancers.
- To review suggested imaging strategies for post-treatment surveillance.
Main Methods:
- Review of common recurrence patterns following surgical resection for NSCLC.
- Discussion of factors influencing recurrence risk and type.
- Overview of recommended follow-up imaging modalities.
Main Results:
- NSCLC recurrence can manifest locally, regionally, or distantly after surgery.
- A significant risk (1-4% per year) of developing a second primary lung cancer exists in treated patients.
- Various imaging techniques, including conventional radiography, CT, and PET scans, are employed for follow-up.
Conclusions:
- Post-surgical surveillance for NSCLC must encompass detection of both recurrence and new primary tumors.
- Familiarity with recurrence patterns aids in accurate interpretation of follow-up imaging.
- Tailored follow-up imaging strategies are essential for optimal patient management.
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