Evidence map›Paper›PMID 37530807›Full record

ArticleWorld journal of urology2023

Computer tomography-based shape of tumor contour and texture of tumor heterogeneity are independent prognostic indicators for clinical T1b-T2 renal cell carcinoma.

Byeongdo Song, Sung Il Hwang, Hak Jong Lee, Hakmin Lee, Jong Jin Oh, Sangchul Lee, Sung Kyu Hong, Seok-Soo Byun, Jung Kwon Kim

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Article in World journal of urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Byeongdo SongDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Sung Il HwangDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Hak Jong LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Hakmin LeeDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Jong Jin OhDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Sangchul LeeDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Jung Kwon KimDepartment of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea. andss1@hanmail.net.ORCID http://orcid.org/0000-0002-8069-6225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate association between computer tomography (CT)-based features of renal cell carcinoma (RCC) and survival outcomes.

methodsData of 958 patients with clinical T1b-T2 RCC who underwent partial/radical nephrectomy from June 2003 to March 2022 were retrospectively evaluated. CT images of patients were reviewed by two radiologists for texture analysis of tumor heterogeneity and shape analysis of tumor contour. Patients were divided into three groups according to patterns of CT-based features: (1) favorable feature group (n = 117); (2) intermediate feature group (n = 606); and (3) unfavorable feature group (n = 235). Kaplan-Meier survival analysis and multivariate Cox regression analysis were performed to evaluate overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS).

resultsRCCs with unfavorable CT-based feature showed larger size on CT, higher nuclear grade, higher rate of histologic necrosis, and higher rate of capsular invasion than those in the other two groups (all p < 0.001). Unfavorable feature was associated with poorer OS (p = 0.001), CSS (p < 0.001), and RFS (p < 0.001) on Kaplan-Meier analysis. In multivariate analysis, intermediate and unfavorable features were independent predictors for recurrence (hazard ratio [HR] 2.51, 95% confidence interval [CI] 1.09-5.79, p = 0.031 and HR 3.71, 95% CI 1.58-8.73, p = 0.003, respectively), but not for overall death or RCC-specific death.

conclusionsA combination of irregular tumor contour feature with heterogeneous tumor texture feature on CT is associated with poor RFS in clinical T1b-T2 RCC preoperatively.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansNephrectomyPrognosisRetrospective StudiesTomographyComputer tomographyNephrectomyPrognosisRenal cell carcinomaTumor contourTumor heterogeneity

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