Evidence map›Paper›PMID 40467876›Full record

ArticleScientific reports2025

Impact of tumor size and sex on diagnostic discrepancies in renal mass imaging.

Chung Un Lee, Jung Hoon Kim, Gyoungho Kim, Jooyoung Jeon, Jin Wook Kim, Yong Seong Lee, Kyungchan Min, Jong Hyun Tae, Se Young Choi, In Ho Chang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Chung Un Lee *Department of Urology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Gyeonggi-do, Republic of Korea.
Jung Hoon Kim *Department of Urology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Gyeonggi-do, Republic of Korea.
Gyoungho KimChung-Ang University College of Medicine, Seoul, South Korea.
Jooyoung JeonChung-Ang University College of Medicine, Seoul, South Korea.
Jin Wook KimDepartment of Urology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Gyeonggi-do, Republic of Korea.
Yong Seong LeeDepartment of Urology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Gyeonggi-do, Republic of Korea.
Kyungchan MinDepartment of Urology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
Jong Hyun TaeDepartment of Urology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
Se Young ChoiDepartment of Urology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
In Ho ChangDepartment of Urology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea.
Joongwon ChoiDepartment of Urology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Gyeonggi-do, Republic of Korea. uro6@cau.ac.kr.

Funding

National Research Foundation of Korea RS-2024-00342763
6 · The paper itself

Abstract

Renal masses identified on CT or MRI scans may raise suspicion of malignancy, leading to radical or partial nephrectomy; however, pathology reports may reveal benign conditions. This study aimed to identify clinical and radiological factors associated with discrepancies between imaging and pathology reports, which may inform strategies to enhance diagnostic accuracy. We retrospectively reviewed 132 patients who underwent partial or radical nephrectomy between April 2022 and October 2024. All patients underwent preoperative CT, and MRI was conducted when deemed necessary at the physician's discretion. The discrepancy was defined as cases where imaging findings suspicious of malignancy were reported on CT or MRI, but the pathology report later confirmed benign findings. Predictive factors for discrepancies were identified using a multivariate logistic regression model. Of the 132 patients, 98 (74.2%) were diagnosed with renal cell carcinoma (RCC). Among the 31 patients who underwent MRI, 24 (77.4%) were diagnosed with RCC. The discrepancy rate between CT imaging and pathology was 20.6% (27/131). Of these, 7 patients underwent MRI, and in 1 case, the MRI report aligned with the pathology. The overall discrepancy between imaging and pathology was 19.8% (26/131). Multivariable regression analysis revealed that female sex (OR = 5.219, p = 0.001) and a tumor size < 2 cm (OR = 4.826, p = 0.002) were significant factors influencing the discrepancy between imaging and pathology reports. Smaller renal masses (< 2 cm) and female sex were associated with a higher likelihood of diagnostic discrepancy. Considering these factors during imaging interpretation may help reduce overdiagnosis and improve accuracy.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAdultAgedAged, 80 and overFemaleHumansKidneyMagnetic Resonance ImagingMaleMiddle AgedNephrectomyRetrospective StudiesSex FactorsTomography, X-Ray ComputedTumor BurdenComputed tomographyDiscrepancyMagnetic resonance imagingRenal cell carcinoma

Identifiers

PMID40467876
PMCPMC12137575

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