The value of predictive models assisted diagnosis of benign and malignant lacrimal gland tumor based on dynamic contrast-enhanced combined with conventional MRI.

Tianming Jian, Fei Gao, Mei Yang, Tong Wu, Xiaodong Ji, Shuang Xia, Fengyuan Sun

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Article in Open medicine (Warsaw, Poland), 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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7 authors.

Tianming JianTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.

Fei GaoTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.

Mei YangDepartment of Ophthalmology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.

Tong WuDepartment of Orbital Disease and Oculoplastic Surgery, Sichuan Eye Hospital, Aier Eye Hospital Group, Chengdu, China.

Xiaodong JiDepartment of Radiology, Tianjin First Central Hospital, Tianjin, China.ORCID https://orcid.org/0000-0001-5941-5989

Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, Tianjin, China.

Fengyuan SunTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.ORCID https://orcid.org/0009-0000-5264-2775

Funding

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6 · The paper itself

Abstract

Background or Purpose: To explore the value of predictive models assisted diagnosis of benign and malignant lacrimal gland tumor based on dynamic contrast enhanced (DCE) combined with conventional MRI. Methods: This study retrospectively analyzed the patients with primary lacrimal gland tumors using conventional and DCE-MRI. 15 base predictive models were conducted to compare the diagnostic value. Results: A total number of 76 patients were enrolled, including 41 were malignant, 35 were benign. Compared with the benign and malignant tumors, MRI parameters including tumor diameter, tumor shape, adjacent bone damage, K Discussion or Conclusions: Our findings indicate that the predictive models based on DCE quantitative parameters plus conventional MRI features have shown better performance than the models based on conventional MRI features alone. ET could be selected as the best model in the diagnosis of benign and malignant lacrimal tumors.

Indexed as

dynamic contrast enhancementlacrimal gland tumorMRIpredictive modelquantitative parameter

Identifiers

PMID42305642

DOI10.1515/med-2026-1437

PMCPMC13267938

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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.