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ArticleCurrent medical imaging2025

Computed Tomography Radiomics Nomogram to Predict the Intraoperative Hypertensive Crisis of Abdominal Pheochromocytoma and Paraganglioma.

Qianru Zhang, Xu Fang, Liangping Ni, Li Wang, Jianping Lu, Chengwei Shao, Yun Bian

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Article in Current medical imaging, 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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5 · Who and what money

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7 authors.

Qianru ZhangDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Xu FangDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Liangping NiDepartment of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Li WangDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Jianping LuDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Chengwei ShaoDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Yun BianDepartment of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with abdominal Pheochromocytoma and Paraganglioma (PPGL) are prone to a hypertensive crisis during surgery, which may endanger their lives. This study aimed to develop and validate a Computed Tomography (CT) radiomics nomogram for the prediction of intraoperative hypertensive crisis in patients with PPGL.

methodsIn this retrospective study, 212 patients with abdominal PPGL underwent abdominal-enhanced CT and surgical resection. Radiomic features were extracted from arterial and venous phases. Multivariable logistic regression models were developed using an internal validation and an external test set. The performance of the nomograms was determined by their discrimination, calibration, and clinical usefulness.

resultsA total of 212 patients with PPGL were included, involving 44 with hypertensive crises. The patients were divided into training (n = 117), validation (n = 51), and test (n = 44) sets. Eighteen radiomics-relevant radiomic features were selected. A history of coronary heart disease and the CT radiomics score were included in the prediction model, which achieved an area under the curve of 0.91 [95% Confidence Interval (CI) 0.85-0.97] in the training set, 0.93 (95% CI 0.84-0.99) in the validation set, and 0.85 (95% CI 0.72-0.97) in the test set. The decision curve analysis demonstrated the radiomics nomogram to be clinically useful.

conclusionOur study has developed and validated a CT radiomics nomogram that has demonstrated remarkable potential in predicting intraoperative hypertensive crisis in patients with abdominal pheochromocytoma and paraganglioma. This non-invasive, straightforward approach has exhibited high accuracy, ease of use, and predictive power.

Indexed as

Adrenal Gland NeoplasmsHypertensionIntraoperative ComplicationsNomogramsParagangliomaPheochromocytomaTomography, X-Ray ComputedAdultAgedFemaleHumansHypertensive CrisisMaleMiddle AgedRadiomicsRetrospective StudiesHypertensionParagangliomaPheochromocytomaRadiomicsX-ray computed tomography.

Identifiers

PMID40259870
PMCPMC12776566

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