Evidence map›Paper›PMID 41851655›Full record

ArticleBMC medical imaging2026

Revolution APEX CT: preliminary assessment of its application value in pancreatic cancer T staging.

JingQi Sun, Di Chang, HongYu Zhang, LiJuan Wen, XiaoHan Liang, Qiang Zhang, Na Ge

Abstract read
In one paragraph

Article in BMC medical imaging, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

JingQi Sun *Radiographic Imaging Centery, The Third Affiliated Hospital of Qiqihar Medical University, No. 27 Taishun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, 161000, China.
Di Chang *Department of Radiology, Cultivation and Construction Site of the State Key Laboratory of Intelligent Imaging and Interventional Medicine, Zhongda Hospital, Medical School of Southeast University, Nanjing City, Jiangsu Province, 210009, China.
HongYu ZhangDepartment of Orthopedic Surgery, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar City, Heilongjiang Province, 161000, China.
LiJuan WenRadiographic Imaging Centery, The Third Affiliated Hospital of Qiqihar Medical University, No. 27 Taishun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, 161000, China.
XiaoHan LiangRadiographic Imaging Centery, The Third Affiliated Hospital of Qiqihar Medical University, No. 27 Taishun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, 161000, China.
Qiang ZhangDepartment of General Surgery, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar City, Heilongjiang Province, 161000, China.
Na GeRadiographic Imaging Centery, The Third Affiliated Hospital of Qiqihar Medical University, No. 27 Taishun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, 161000, China. GNgena2022@outlook.com.

Funding

National Natural Science Foundation of China No. 82372024Qiqihar Science and Technology Tackling Project No. LSFGG-202430The Fundamental Research Funds for the Central Universities ('Zhishan' Youth Scholar of Southeast University) No. 2242024RCB0056The Jiangsu Province High-Level Hospital Pairing Assistance Construction Funds (Zhongda Hospital Affiliated to Southeast University) No.zdlyg20
6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic value of Revolution APEX energy spectrum CT imaging and quantitative parameters in T staging of pancreatic cancer (PCa).

methodsEnergy spectrum CT of 105 patients diagnosed with PCa confirmed by pathologic biopsy and 72 controls from June 2022 to January 2025 were retrospectively obtained. Patients were pathologically confirmed as PCa (15 patients with T1 stage, 23 patients with T2 stage, 46 patients with T3 stage, and 21 patients with T4 stage). Energy spectrum CT captured 40 keV, 70 keV, and 120 kVp-like images (Equivalent to conventional CT images at approximately 120 kVp), which were analyzed for contrast-to-noise ratio (CNR), noise, signal-to-noise ratio (SNR), and subjective scores. Normalized iodine concentration (NICtumor), energy spectrum slope (k), attenuation coefficient, and normalized CT value were quantitatively assessed, and the diagnostic efficacy was analyzed by ROC curve and area under the curve (AUC).

resultsThe control group and each T-staging subgroup did not differ significantly in age, gender, and BMI, although tumor diameter significantly increased with advancing T-staging (P < 0.001). The 70 keV images outperformed the control group in noise control, SNR, and subjective scores, despite having a significantly lower CNR in the tumor group (P < 0.001). Energy spectrum parameters changed significantly with T staging, including NICtumor (T1: 38.7% to T4: 64.0%), k value (T1: 1.3 to T4: 2.6 HU/keV), and attenuation coefficient (T1: 0.9 to T4: 1.6 HU/keV) (all P < 0.001). The AUC for NICtumor and k combined was 93.40% (sensitivity: 94.03%, specificity: 81.50%) in differentiating early from late stages, significantly surpassing the performance of a single parameter (P < 0.001).

conclusionThis preliminary study suggests that the 70 keV images from Revolution APEX spectral CT, combined with a multiparametric model based on standardized iodine concentration and spectral slope, demonstrate potential value in distinguishing pancreatic cancer T staging. This approach may provide additional quantitative radiographic reference information for preoperative assessment.

Indexed as

Pancreatic NeoplasmsTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingRetrospective StudiesSensitivity and SpecificitySignal-To-Noise RatioEnergy spectrum CTEnergy spectrum slopeNormalized iodine concentrationPancreatic cancerSingle-energy imagesT staging

Identifiers

PMID41851655
PMCPMC13123105

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.