Evidence map›Paper›PMID 37046481›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Prospective Evaluation of Quantitative F-18-FDG-PET/CT for Pre-Operative Thoracic Lymph Node Staging in Patients with Lung Cancer as a Target for Computer-Aided Diagnosis.

Philipp Genseke, Christoph Ferdinand Wielenberg, Jens Schreiber, Eva Luecke, Steffen Frese, Thorsten Walles, Michael Christoph Kreissl

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Article in Diagnostics (Basel, Switzerland), 2023. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Philipp GensekeDivision of Nuclear Medicine, Department for Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany.
Christoph Ferdinand WielenbergDivision of Nuclear Medicine, Department for Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany.
Jens SchreiberDepartment for Pneumology, University Hospital Magdeburg, 39120 Magdeburg, Germany.
Eva LueckeDepartment for Pneumology, University Hospital Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0001-7115-8428
Steffen FreseLung Clinic Lostau, 39291 Lostau, Germany.
Thorsten WallesDepartment of Thoracic Surgery, University Hospital Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-5037-054X
Michael Christoph KreisslDivision of Nuclear Medicine, Department for Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0001-5905-6015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePre-operative assessment of thoracic lymphonodal (LN) involvement in patients with lung cancer (LC) is crucial when choosing the treatment modality. Visual assessment of F-18-FDG-PET/CT (PET/CT) is well established, however, there is still a need for prospective quantitative data to differentiate benign from malignant lesions which would simplify staging and guide the further implementation of computer-aided diagnosis (CAD).

methodsIn this prospective study, 37 patients with confirmed lung cancer (m/f = 24/13; age: 70 [52-83] years) were analyzed. All patients underwent PET/CT and quantitative data (standardized uptake values) were obtained. Histological results were available for 101 thoracic lymph nodes. Quantitative data were matched to determine cut-off values for delineation between benign vs. malignant lymph nodes. Furthermore, a scoring system derived from these cut-off values was established. Statistical analyses were performed through ROC analysis.

resultsQuantitative analysis revealed the optimal cut-off values (

conclusionQuantitative analysis of F-18-FDG-PET/CT data provides reliable results for delineation between benign and malignant thoracic lymph nodes. Thus, quantitative parameters can improve diagnostic accuracy and reliability and can also facilitate the handling of the steadily increasing number of clinical examinations.

Indexed as

computer aided diagnosislung cancerlymph node metastasesPET/CTquantification

Identifiers

PMID37046481
PMCPMC10093566

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