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Clinical and pathologic staging accuracy in patients with synchronous multiple primary lung cancers
Nika Samadzadeh Tabrizi1, Erin S Harris1, Benjamin P Gallant1
1Department of Thoracic Surgery, Albany Medical Center, Albany, NY, USA.
Journal of Thoracic Disease
|February 27, 2024
Summary
Synchronous multiple primary lung cancer (SMPLC) staging is often inaccurate, with over 80% of patients misstaged. This impacts treatment decisions for lung cancer patients.
Area of Science:
- Oncology
- Radiology
- Pathology
Background:
- Synchronous multiple primary lung cancer (SMPLC) incidence is rising, affecting up to 20% of lung cancer patients.
- Accurate identification of SMPLC is critical for effective treatment and improved patient outcomes.
- This study evaluated the accuracy of staging for SMPLC patients at a tertiary care institution.
Purpose of the Study:
- To assess the accuracy of preoperative staging for patients diagnosed with synchronous multiple primary lung cancer (SMPLC).
- To identify common sources of staging errors in SMPLC.
- To highlight the clinical implications of inaccurate staging in SMPLC.
Main Methods:
- Retrospective review of lung cancer resection evaluations between January 2018 and September 2019.
- Identification of SMPLC cases using the modified Martini-Melamed criteria.
- Comparison of preoperative imaging (CT, PET-CT), clinical assessment, and histopathology reports against final multidisciplinary tumor board staging.
Main Results:
- Of 47 SMPLC patients, 38 (80.9%) were incorrectly staged.
- Computed tomography (CT) reports were most frequently inaccurate (70.2%), often under-staging.
- Positron emission tomography-CT (PET-CT) and histopathology reports also showed significant inaccuracies, leading to over-staging in some cases.
Conclusions:
- Patients with SMPLC face a high risk of incorrect treatment due to inaccurate staging reports.
- Radiographic and histopathologic staging alone is insufficient for accurate SMPLC assessment.
- Increased physician awareness of potential staging inaccuracies in SMPLC is essential.

