Evidence map›Paper›PMID 41081161›Full record

ArticleQuantitative imaging in medicine and surgery2025

Reliability study of MRI in detecting lymph node metastasis of cervical cancer: a multi-center retrospective study result analysis.

Lixiao Liu, Luyao Pan, Chengyang Zou, Fubin Zhang, Yongmin Du, Tianhong Zhu, Jiayi Shen, Shun Lu, Jingtian Shen, Ruru Bao and 6 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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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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.

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

16 authors.

Lixiao Liu *The First Affiliated Hospital of Ningbo University, Ningbo, China.
Luyao Pan *Taizhou Hospital of Zhejiang Province, Taizhou, China.
Chengyang Zou *Lishui Central Hospital, Lishui, China.
Fubin ZhangThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Yongmin DuThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Tianhong ZhuThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Jiayi ShenThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Shun LuThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Jingtian ShenThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ruru BaoRuian People's Hospital, Wenzhou, China.
Yihan ShanThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuning PanThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Lifeng ChenThe First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hongyou Zhou *Lishui Central Hospital, Lishui, China.
Xiaojian Yan *The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yutao Guan *The First Affiliated Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Magnetic resonance imaging (MRI) currently stands as a cornerstone in preoperative staging and detection of lymph node metastasis (LNM) in cervical cancer (CC). The objective of this study was to assess the efficacy of MRI in discerning LNM in CC. Methods: This retrospective study scrutinized patient data across three medical centers, focusing on those who underwent preoperative MRI assessment followed by radical surgery and pelvic lymph node (LN) dissection. We juxtaposed the correspondence between LN status as determined by MRI and pathological findings, conducting comprehensive data analysis through statistical software. In addition, the factors that may lead to misinterpretation of MRI were analyzed. Results: Out of a cohort comprising 1,027 patients, 10.9% (112/1,027) exhibited LN positivity on MRI, with 49.1% (55/112) confirmed as LNM upon pathological examination. Among patients with negative MRI findings, around 15.7% (144/915) were later diagnosed with LNM. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MRI for assessing LNM were determined to be 27.6%, 93.0%, 49.1%, and 84.3%, respectively. LNM in CC patients is associated with MRI findings, squamous cell carcinoma antigen (SCCA), carbohydrate antigen 125 (CA125), and carcinoembryonic antigen (CEA). The SCCA level of the misjudgment group was significantly higher than that of the accurate group. Conclusions: Preoperative MRI exhibits limitations in sensitivity and accuracy when discerning metastatic from non-metastatic LNs in CC. Therefore, categorizing patients as stage IIIC solely based on MRI-detected LN positivity warrants further scrutiny.

Indexed as

cervical cancer (CC)lymph node metastasis (LNM)Magnetic resonance imaging (MRI)

Identifiers

PMID41081161
PMCPMC12514698

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