ArticleLa Radiologia medica2026
Cutting doses, keeping diagnoses: outcomes of protocol optimization for CT-guided lung biopsies.
Article in La Radiologia medica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess changes in patient radiation exposure during computed tomography (CT)-guided lung biopsies before and after protocol optimization and to evaluate the potential impact of this optimization on diagnostic yield and biopsy duration. MATERIAL AND
methodsIn this single-center retrospective study, analysis of dose-length product (DLP), biopsy duration and diagnostic performance included data from 200 biopsies-100 performed before and 100 after protocol optimization. Evaluation of operator-specific DLP included additional data from 22 biopsies, and DLP trend analysis incorporated data from 221 supplementary biopsies. Statistical significance was set at p < 0.05.
resultsFollowing protocol optimization, the median DLP decreased significantly from 576.5 (486.8-653.0) to 62.0 (53.0-73.0) mGycm (p < 0.001). All operators demonstrated a significant reduction in DLP (p < 0.01). Diagnostic performance was similar before and after optimization: sensitivity, specificity and PPV remained unchanged at 87.2%, 100.0% and 100.0%, respectively. NPV and accuracy increased slightly from 50.0% and 88.7% before optimization to 54.6% and 88.9% post-optimization. Standard deviation of operator DLP means decreased by 64.8% (from 169.8 to 59.8 mGycm). DLP for all operators decreased gradually before optimization, with a sharp and sustained reduction over the next 2 years. No significant change was observed in biopsy duration-12.0 (10.0-16.5) versus 14.0 (11.0-17.0) minutes (p = 0.11).
conclusionProtocol optimization is a feasible way to reduce patient radiation exposure and achieve safer lung biopsies under CT guidance without compromising diagnostic performance or procedure duration.
Indexed as
Identifiers
41811673What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.