Evidence map›Paper›PMID 41945286›Full record

ArticleInternal and emergency medicine2026

Structured CEUS-based diagnostic pathway for newly detected splenic lesions: impact on diagnostic latency and advanced imaging use in a multicenter quality improvement study, with exploratory discrimination between hematologic and non-hematologic disease.

Daniela Tirotta, Claudia Lena, Elena Magnani, Elisabetta Fabbri, Paolo Muratori

Abstract readEvaluation StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Daniela TirottaInternal Medicine, Morgagni Pierantoni Hospital, Forli', Italy. danitirotta@libero.it.
Claudia LenaInternal Medicine, S Orsola University Hospital, Bologna, Italy.
Elena MagnaniInternal Medicine, Bufalini Hospital, Cesena, Italy.
Elisabetta FabbriInternal Medicine, Bufalini Hospital, Cesena, Italy.
Paolo MuratoriInternal Medicine, Morgagni Pierantoni Hospital, Forli', Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNewly detected splenic lesions represent a challenging diagnostic scenario in internal medicine, particularly when lymphoproliferative disease is suspected. Evidence on the role of contrast-enhanced ultrasound (CEUS) in this setting is limited, and its integration into structured clinical pathways has been poorly explored. This study evaluated the impact of a structured clinical-ultrasound diagnostic pathway incorporating CEUS on diagnostic latency and use of advanced imaging, as well as its exploratory ability to discriminate hematologic/lymphoproliferative from non-hematologic splenic lesions.

methodsWe conducted a multicenter, procedure-based quality Improvement study including 100 patients with newly detected splenic lesions. Fifty patients underwent a structured pathway based on an integrated clinical, laboratory, and ultrasound tool (intervention group), while 50 received standard management (control group). Primary outcomes were diagnostic latency and number of advanced imaging examinations (CT, MRI, PET). Secondary outcomes included the diagnostic performance of CEUS and of the integrated tool for discriminating hematologic/lymphoproliferative versus non-hematologic splenic lesions.

resultsMean diagnostic latency was significantly shorter in the intervention group (13.8 ± 21.2 vs 32.4 ± 35.7 days; p = 0.004). Median latency was 5 [IQR 3-14] versus 14 [IQR 3-30] days (p = 0.002). Early diagnoses (≤ 7 days) were more frequent in the intervention group (58% vs 22%), while delayed diagnoses (> 30 days) were more common in controls (38% vs 10%; p < 0.001). Use of advanced imaging was reduced in the intervention group (CT: 46% vs 100%, p < 0.001; PET: 4% vs 20%, p = 0.018). For the discrimination of hematologic/lymphoproliferative versus non-hematologic lesions, CEUS showed high sensitivity (90.9%) and good specificity (79.5%), whereas the integrated tool improved specificity (94.9%) while maintaining good sensitivity (81.8%).

conclusionsA structured CEUS-centered diagnostic pathway appears to shorten diagnostic latency and reduce advanced imaging use while maintaining adequate diagnostic accuracy. The diagnostic performance findings should be interpreted as exploratory and limited to binary stratification of hematologic/lymphoproliferative versus non-hematologic lesions, rather than lesion-specific diagnosis.

Indexed as

Splenic DiseasesAgedContrast MediaCritical PathwaysDiagnosis, DifferentialFemaleHumansMaleMiddle AgedQuality ImprovementSpleenUltrasonographyContrast MediaAdvanced imagingContrast-enhanced ultrasoundDiagnostic latencyDiagnostic pathwayInternal medicineLymphoproliferative diseasesQuality improvementSplenic lesions

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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.