Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Rottem Kuint
Research Interests
Make your next move.
Prepare your application
Review drafts before you send them.
Explore related searches
Articles (2)
Year:
2025
Background Mediastinal lymphadenopathy is a common finding in follow‐up after diagnosis of malignancy, and may represent recurrence of malignancy, or benign processes such as sarcoidosis. CT and PET‐CT are commonly used, despite limited ability to discriminate between benign and malignant disease, and although EBUS‐guided bronchoscopy is often performed, it is relatively invasive and may not always be safe in high‐risk patients. Clinical and radiological predictors for cancer recurrence could therefore be of value. Methods A retrospective cohort analysis of all patients with mediastinal lymphadenopathy and previous malignancy undergoing mediastinal lymph node sampling via bronchoscopy was undertaken. Demographics, smoking status, details of previous malignancy, time since cancer diagnosis, and imaging data were collected, as well as follow‐up in the years following the procedure. We then compared specific characteristics of patients with malignant and benign lymphadenopathy in order to identify predictors of malignant versus benign lymphadenopathy. Results A total of 113 patients were analyzed of which 63% had tumor recurrence, while the rest had benign disease including sarcoidosis. Smoking history and previous lung cancer were both correlated with lymph node malignancy, while symmetric hilar enlargement, and the presence of multiple pathological stations were correlated with benign outcome. Size, maximal SUV uptake or time interval since cancer diagnosis were not associated with the final diagnosis. Conclusions These findings may help in assessing the pretest probability of tumor recurrence in patients with mediastinal lymphadenopathy, thus aiding in the clinical decision‐making in such scenarios.
Year:
2022
Collaborators (1)
Maya Korem
-
Make your next move.
Prepare your application
Review drafts before you send them.