{"doi":"10.1007/s00261-025-05253-8","title":"Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT","abstract":"OBJECTIVES: The performance of fully automated deep learning-based models for the detection and segmentation of lymph nodes (LNs) on full- and simulated reduced-dose CT was validated. METHODS: A total of 15,341 LNs were annotated in 151 patient CTs (age 52 ± 14 years, 87 males) from the public TCIA NIH CT Lymph Nodes dataset. Two 3D nnU-Net models were trained on 90 CT scans: (1) only full dose CTs (NoAugmentation), and (2) both full- and reduced-dose CTs (Augmentation). Dose reduction from 75% to 5% of the full-dose was simulated using a noise-addition tool. Performance was validated on the remaining 61 CTs and an external TCIA Mediastinal LNQ dataset (120 CTs, 64 females). RESULTS: On 61 full-dose CTs, the Augmentation model detected all LNs with 67.3% precision and 84.6% sensitivity. For all LNs and large nodes (short axis diameter ≥ 8 mm), Dice Similarity Coefficient (DSC) was 0.83 ± 0.07 and 0.80 ± 0.14, while Hausdorff Distance (HD) error was 1.47 ± 0.91 mm and 3.2 ± 2.28 mm, respectively. Performance decreased with dose reduction (p < 0.01), reaching 73.8% detection sensitivity and 0.75 DSC at 5% dose. Statistically significant differences between Augmentation vs. NoAugmentation models were seen for all nodes (p < 0.001) and small nodes (p < 0.05) at 10% and 5% doses. On the external LNQ dataset, the Augmentation model attained a DSC of 0.76 ± 0.12 and HD of 4.7 ± 3.23 (p < 0.01) for all LNs. CONCLUSION: Degraded image quality impacted nodal delineation on reduced-dose CT. Performance improved when a model trained on both full- and reduced-dose CTs was used.","journal":"Abdominal Radiology","year":2025,"id":537194,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":22.178386323199504,"corpus_rank":9377,"citation_count":1,"citer_count":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7042,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":950313,"name":"Tejas Sudharshan Mathai","orcid":"0009-0005-8440-1702","position":1,"is_corresponding":false},{"id":1245046,"name":"Bohan Liu","orcid":"0000-0002-4810-8374","position":2,"is_corresponding":false},{"id":1329589,"name":"Brandon Khoury","orcid":"0000-0002-9625-9353","position":3,"is_corresponding":false},{"id":1422987,"name":"Naiya Patel","orcid":"0000-0003-4901-0130","position":4,"is_corresponding":false},{"id":1423467,"name":"Olivia Wei","orcid":null,"position":5,"is_corresponding":false},{"id":1423468,"name":"Praveen Thoppey Srinivasan Balamuralikrishna","orcid":null,"position":6,"is_corresponding":false},{"id":1019627,"name":"Benjamin Hou","orcid":"0000-0003-3968-1707","position":7,"is_corresponding":false},{"id":292050,"name":"Justin Solomon","orcid":"0000-0002-5884-2476","position":8,"is_corresponding":false},{"id":437872,"name":"Darko Pucar","orcid":"0000-0001-6597-5149","position":9,"is_corresponding":false},{"id":292053,"name":"Ehsan Samei","orcid":"0000-0001-7451-3309","position":10,"is_corresponding":false},{"id":110327,"name":"Elizabeth C. Jones","orcid":"0000-0003-4914-8180","position":11,"is_corresponding":false},{"id":92413,"name":"Ronald M. Summers","orcid":null,"position":12,"is_corresponding":false},{"id":1423466,"name":"Lindsey H. Bloom","orcid":null,"position":0,"is_corresponding":true}],"reference_count":23,"raw_metadata":null,"created_at":"2026-07-19T02:52:12.997494Z","pmid":"41251734","pmcid":"PMC13109288","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}