Evidence map›Paper›PMID 38969822›Full record

ArticleAbdominal radiology (New York)2024

Preoperative MRI-based nomogram to predict survival after curative resection in patients with gallbladder cancer: a retrospective multicenter analysis.

Seo-Youn Choi, Jung Hoon Kim, Ji Eun Lee, Ji Eun Moon

Abstract readMulticenter Study
PubMed Publisher
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Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Seo-Youn ChoiDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, Korea.
Jung Hoon KimDepartment of Radiology and Research Institute of Radiological Science, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehang-no, Chongno-gu, Seoul, 110-744, Republic of Korea. jhkim2008@gmail.com.ORCID 0000-0002-8090-7758
Ji Eun LeeDepartment of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, 170 Jomaru-ro, Bucheon-Si, Gyeonggi-do, 14584, Republic of Korea.
Ji Eun MoonDepartment of Biostatistics, Clinical Trial Center, Soonchunhyang University College of Medicine, Bucheon Hospital, 170 Jomaru-ro, Bucheon, Gyeonggi-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo use preoperative MRI data to construct a nomogram to predict survival in patients who have undergone R0 resection for gallbladder cancer.

methodsThe present retrospective study included 143 patients (M:F, 76:67; 67.15 years) with gallbladder cancer who underwent preoperative MRI and subsequent R0 resection between 2013 and 2021 at two tertiary institutions. Clinical and radiological features were analyzed using univariate and multivariate Cox regression analysis to identify independent prognostic factors. Based on the multivariate analysis, we developed an MRI-based nomogram for determining prognoses after curative resections of gallbladder cancer. We also obtained calibration curves for 1-,3-, and 5-year survival probabilities.

resultsThe multivariate model consisted of the following independent predictors of poor overall survival (OS), which were used for constructing the nomogram: age (years; hazard ratio [HR] = 1.04; 95% confidence interval [CI], 1.04-1.07; p = 0.033); tumor size (cm; HR = 1.40; 95% CI, 1.09-1.79; p = 0.008); bile duct invasion (HR = 3.54; 95% CI, 1.66-7.58; p = 0.001); regional lymph node metastasis (HR = 2.47; 95% CI, 1.10-5.57; p = 0.029); and hepatic artery invasion (HR = 2.66; 95% CI, 1.04-6.83; p = 0.042). The nomogram showed good probabilities of survival on the calibration curves, and the concordance index of the model for predicting overall survival (OS) was 0.779.

conclusionPreoperative MRI findings could be used to determine the prognosis of gallbladder cancer, and the MRI-based nomogram accurately predicted OS in patients with gallbladder cancer who underwent curative resection.

Indexed as

Gallbladder NeoplasmsMagnetic Resonance ImagingNomogramsAgedFemaleHumansMaleMiddle AgedPreoperative CarePrognosisRetrospective StudiesSurvival RateCarcinomaGallbladder neoplasmsMagnetic resonance imagingPrognosisSurvival

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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.