Evidence map›Paper›PMID 39014490›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

The pulmonary-vascular-stump filling defect on CT post lung tumor resection: a predictor of cancer progression.

Lei Ni, Qihui Wang, Yilong Wang, Yaqi Du, Zhenggang Sun, Guoguang Fan, Ce Li, Guan Wang

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Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lei Ni *Department of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
Qihui Wang *Department of Clinical Laboratory, The First Hospital of China Medical University, Shenyang, China.
Yilong Wang *Department of Radiotherapy department, The First Hospital of China Medical University, Shenyang, China.
Yaqi DuDepartment of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
Zhenggang SunDepartment of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
Guoguang FanDepartment of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China.
Ce LiDepartment of Medical Oncology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China. cmulice@126.com.
Guan WangDepartment of Radiology, The First Hospital of China Medical University, No.155, North Nanjing Street, Shenyang, 110001, Liaoning, China. cmuwangguan@sina.com.ORCID http://orcid.org/0000-0001-8626-5824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the pulmonary-vascular-stump filling-defect on CT and investigate its association with cancer progression.

methodsRecords in our institutional database from 2018 to 2022 were retrospectively analyzed to identify filling-defects in the pulmonary-vascular-stump after lung cancer resection and collect imaging and clinical data of patients.

resultsAmong the 1714 patients analyzed, 95 cases of filling-defects in the vascular stump after lung cancer resection were identified. After excluding lost-to-follow-up cases, a total of 77 cases were included in the final study. Morphologically, the filling-defects were dichotomized as 46 convex-shape and 31 concave-shape cases. Concave defects exhibited a higher incidence of increase compared to convex defects (51.7% v. 9.4%, P = 0.001). Among 61 filling defects in the pulmonary arterial stump, four (6.5%) increasing concave defects showed the nuclide concentration on PET and extravascular extension. The progression-free survival (PFS) time differed significantly among the concave, convex, and non-filling-defect groups (log-rank P < 0.0001), with concave defects having the shortest survival time. Multivariate Cox proportional hazards analysis indicated that the shape of filling-defects independently predicted PFS in early onset on CT (HR: 0.46; 95% CI: 0.39-1.99; P = 0.04). In follow-ups, the growth of filling-effects was an independent predictor of PFS (HR: 0.26; 95% CI: 0.11-0.65; P = 0.004).

conclusionsCertain filling-defects in the pulmonary-arterial-stump post lung tumor resection exhibit malignant growth. In the early onset of filling-defects on CT, the concave-shape independently predicted cancer-progression, while during the subsequent follow-up, the growth of filling-defects could be used independently to forecast cancer-progression.

Indexed as

Disease ProgressionLung NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPneumonectomyPulmonary ArteryRetrospective StudiesCancer progressionComputed tomographyLung cancerPulmonary vascular stump filling defect

Identifiers

PMID39014490
PMCPMC11250966

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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.