Cargando…

Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?

OBJECTIVES: To investigate whether lesion imaging features may condition the outcome of CT-guided lung biopsy (CTLB) and to develop a scoring system of biopsy outcome prediction. METHODS: This is a single center retrospective study on 319 CTLBs that were performed in 319 patients (167 males/152 fema...

Descripción completa

Detalles Bibliográficos
Autores principales: Tipaldi, Marcello Andrea, Ronconi, Edoardo, Krokidis, Miltiadis E, Zolovkins, Aleksejs, Orgera, Gianluigi, Laurino, Florindo, Daffina, Julia, Caruso, Damiano, Laghi, Andrea, Rossi, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822563/
https://www.ncbi.nlm.nih.gov/pubmed/34808070
http://dx.doi.org/10.1259/bjr.20210434
_version_ 1784646625277247488
author Tipaldi, Marcello Andrea
Ronconi, Edoardo
Krokidis, Miltiadis E
Zolovkins, Aleksejs
Orgera, Gianluigi
Laurino, Florindo
Daffina, Julia
Caruso, Damiano
Laghi, Andrea
Rossi, Michele
author_facet Tipaldi, Marcello Andrea
Ronconi, Edoardo
Krokidis, Miltiadis E
Zolovkins, Aleksejs
Orgera, Gianluigi
Laurino, Florindo
Daffina, Julia
Caruso, Damiano
Laghi, Andrea
Rossi, Michele
author_sort Tipaldi, Marcello Andrea
collection PubMed
description OBJECTIVES: To investigate whether lesion imaging features may condition the outcome of CT-guided lung biopsy (CTLB) and to develop a scoring system of biopsy outcome prediction. METHODS: This is a single center retrospective study on 319 CTLBs that were performed in 319 patients (167 males/152 females, mean age 68 ± 12.2). Uni- and multivariate analysis were performed aiming to assess the imaging features that are likely to be correlated to a negative biopsy outcome and patients were stratified in groups accordingly. RESULTS: Technical success was 100%. 78% of the biopsies (250/319) led to a concrete histology report (218 malignant/32 benign). The remaining lesions led to concrete histology at a second attempt that occurred on a later time. Multivariate analysis revealed increased risk of inconclusive result for nodules with low fludeoxyglucose uptake [odds ration (OR) = 2.64, 95% confidence interval (CI) 1.4–4.97; p = 0.003], for nodules with diameter smaller than 18 mm (OR = 2.03, 95% CI 1.14–3.62; p = 0.017) and for nodules that are located in one of the lung bases (OR = 1.96, 95% CI 1.06–3.62; p = 0.033). Three different groups of patients were identified accordingly with low (<30%), medium (30–50%) and high (>50%) probability of obtaining an inconclusive biopsy sample. CONCLUSION: This study confirms that percutaneous CT-guided biopsy in nodules that are either small in diameter or present low positron emission tomography-fludeoxyglucose uptake or are in one of the lung bases may lead to inconclusive histology. This information should be factored when planning percutaneous biopsies of such nodules in terms of patient informed consent and biopsy strategy. ADVANCES IN KNOWLEDGE: Inconclusive histology after lung biopsy may be subject to factors irrelevant to technical success. Lung biopsy histology outcomes may be predicted and avoided after adequate planning.
format Online
Article
Text
id pubmed-8822563
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher The British Institute of Radiology.
record_format MEDLINE/PubMed
spelling pubmed-88225632022-02-17 Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling? Tipaldi, Marcello Andrea Ronconi, Edoardo Krokidis, Miltiadis E Zolovkins, Aleksejs Orgera, Gianluigi Laurino, Florindo Daffina, Julia Caruso, Damiano Laghi, Andrea Rossi, Michele Br J Radiol Full Paper OBJECTIVES: To investigate whether lesion imaging features may condition the outcome of CT-guided lung biopsy (CTLB) and to develop a scoring system of biopsy outcome prediction. METHODS: This is a single center retrospective study on 319 CTLBs that were performed in 319 patients (167 males/152 females, mean age 68 ± 12.2). Uni- and multivariate analysis were performed aiming to assess the imaging features that are likely to be correlated to a negative biopsy outcome and patients were stratified in groups accordingly. RESULTS: Technical success was 100%. 78% of the biopsies (250/319) led to a concrete histology report (218 malignant/32 benign). The remaining lesions led to concrete histology at a second attempt that occurred on a later time. Multivariate analysis revealed increased risk of inconclusive result for nodules with low fludeoxyglucose uptake [odds ration (OR) = 2.64, 95% confidence interval (CI) 1.4–4.97; p = 0.003], for nodules with diameter smaller than 18 mm (OR = 2.03, 95% CI 1.14–3.62; p = 0.017) and for nodules that are located in one of the lung bases (OR = 1.96, 95% CI 1.06–3.62; p = 0.033). Three different groups of patients were identified accordingly with low (<30%), medium (30–50%) and high (>50%) probability of obtaining an inconclusive biopsy sample. CONCLUSION: This study confirms that percutaneous CT-guided biopsy in nodules that are either small in diameter or present low positron emission tomography-fludeoxyglucose uptake or are in one of the lung bases may lead to inconclusive histology. This information should be factored when planning percutaneous biopsies of such nodules in terms of patient informed consent and biopsy strategy. ADVANCES IN KNOWLEDGE: Inconclusive histology after lung biopsy may be subject to factors irrelevant to technical success. Lung biopsy histology outcomes may be predicted and avoided after adequate planning. The British Institute of Radiology. 2022-02-01 2021-11-26 /pmc/articles/PMC8822563/ /pubmed/34808070 http://dx.doi.org/10.1259/bjr.20210434 Text en © 2022 The Authors. Published by the British Institute of Radiology https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Full Paper
Tipaldi, Marcello Andrea
Ronconi, Edoardo
Krokidis, Miltiadis E
Zolovkins, Aleksejs
Orgera, Gianluigi
Laurino, Florindo
Daffina, Julia
Caruso, Damiano
Laghi, Andrea
Rossi, Michele
Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title_full Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title_fullStr Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title_full_unstemmed Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title_short Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?
title_sort diagnostic yield of ct-guided lung biopsies: how can we limit negative sampling?
topic Full Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822563/
https://www.ncbi.nlm.nih.gov/pubmed/34808070
http://dx.doi.org/10.1259/bjr.20210434
work_keys_str_mv AT tipaldimarcelloandrea diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT ronconiedoardo diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT krokidismiltiadise diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT zolovkinsaleksejs diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT orgeragianluigi diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT laurinoflorindo diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT daffinajulia diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT carusodamiano diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT laghiandrea diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling
AT rossimichele diagnosticyieldofctguidedlungbiopsieshowcanwelimitnegativesampling