Evidence map›Paper›PMID 38769200›Full record

ArticleAbdominal radiology (New York)2024

Distinct CT imaging features of new liver metastases from primary genitourinary cancers.

Tae-Hyung Kim, Wyanne Law, Bora Kalaycioglu, Natalie Gangai, Richard Kinh Gian Do

Abstract read
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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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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tae-Hyung Kim *Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Wyanne Law *Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Bora KalayciogluDepartment of Radiology, University of Chicago, Chicago, IL, USA.
Natalie GangaiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Richard Kinh Gian DoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. dok@mskcc.org.ORCID 0000-0002-6554-0310

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeTo apply natural language processing (NLP) to a large volume of structured radiology reports in the investigation of CT imaging features of new liver metastases from primary genitourinary cancers.

methodsIn this retrospective study, a previously reported NLP model was applied to consecutive structured CT reports from 2016 to 2022 to predict those patients with primary genitourinary cancer who developed liver metastasis. Pathology or imaging follow-up served as the reference standard for validating NLP predictions. Subsequently, diagnostic CTs of the identified patients were qualitatively assessed by two radiologists, whereby several imaging features of new liver metastasis were assessed. Proportions of the assessed imaging features were compared between primary genitourinary cancers using the Chi-square or Fisher's exact test.

resultsIn 112 patients (mean age = 72 years; 83 males), the majority of new liver metastases were hypovascular (73.2%), well defined (76.6%), homogenous (66.9%), and without necrotic/cystic component (73.2%). There was a higher proportion of iso- to hyperdense liver metastases for primary kidney cancer vs other primary genitourinary cancers (42.5% in kidney cancer; 2.3% in ureter/bladder cancer, 8% in prostate cancer, and 0% in testicular cancer; p < 0.05) and a higher proportion of new liver metastases with ill-defined margin for primary prostate cancer vs other primary genitourinary cancers (44.0% in prostate cancer, 15.0% in kidney cancer, 18.6% in ureter/bladder cancer, and 25.0% in testicular cancer; p < 0.05).

conclusionNew liver metastases from primary genitourinary cancers tend to be hypovascular and show several distinct imaging features between different primary genitourinary cancers.

Indexed as

Liver NeoplasmsTomography, X-Ray ComputedUrogenital NeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesComputed tomographyLiver metastasisUrogenital neoplasm

Identifiers

PMID38769200
PMCPMC11687366

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