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Histology profiling of lung tumors: tru-cut versus full-core system for CT-guided biopsies.
- Source :
-
La Radiologia medica [Radiol Med] 2024 Apr; Vol. 129 (4), pp. 566-574. Date of Electronic Publication: 2024 Mar 21. - Publication Year :
- 2024
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Abstract
- Purpose: We aimed to compare the diagnostic yield and procedure-related complications of two different types of systems for percutaneous CT-guided lung biopsy.<br />Material and Methods: All patients with a lung lesion who underwent a CT-guided lung biopsy at our institution, between January 2019 and 2021, were retrospectively analyzed. The inclusion criteria were: (a) Procedures performed using either a fully automated tru-cut or a semi-automated full-core biopsy needle, (b) CT images demonstrating the position of the needles within the lesion, (c) histopathological result of the biopsy and (d) clinical follow-up for at least 12 months and\or surgical histopathological results. A total of 400 biopsy fulfilling the inclusion criteria were selected and enrolled in the study.<br />Results: Overall technical success was 100% and diagnostic accuracy was 84%. Tru-cut needles showed a significantly higher diagnostic accuracy when compared to full-core needles (91% vs. 77%, p = 0.0004) and a lower rate of pneumothorax (31% vs. 41%, p = 0.047). Due to the statistically significant different of nodules size between the two groups, we reiterated the statistical analysis splitting our population around the 20 mm cut-off for nodule size. We still observed a significant difference in diagnostic accuracy between tru-cut and full-core needles favoring the former for both smaller and larger lesions (81% vs. 71%, p = 0.025; and 92% vs. 81%; p = 0.01, respectively).<br />Conclusion: Our results demonstrated that the use of automated tru-cut needles is associated with higher histopathological diagnostic accuracy compared to semi-automated full-core needles for CTLB.<br /> (© 2024. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1826-6983
- Volume :
- 129
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- La Radiologia medica
- Publication Type :
- Academic Journal
- Accession number :
- 38512617
- Full Text :
- https://doi.org/10.1007/s11547-024-01772-4