Evidence map›Paper›PMID 34759646›Full record

ArticleUrology annals

The accuracy of computed tomography in the diagnosis of upper urinary tract urothelial carcinoma in correlation with the final histopathology: A retrospective study in 275 patients at a Tertiary Urology Institute.

Rasha T Abouelkheir, Mohamed Mohamed Elawdy, Diaa Eldin Taha, Mohamed Abd El-Hamid, Yasser Osman, Tarek El-Diasty

Open access · goldAbstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Radiographic predictors of muscle-invasive upper tract urothelial cancer A Canadian cohort.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
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  3. Article
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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

6 authors at 3 institutions in 2 countries.

Rasha T AbouelkheirDepartment of Radiology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Mohamed Mohamed ElawdyUrology Department, Sohar Hospital, Ministry of Health, Sohar, Oman.
Diaa Eldin TahaUrology Department, Faculty of Medicine, Kafr El-Sheikh University, Kafr El-Sheikh, Egypt.
Mohamed Abd El-HamidDepartment of Pathology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Yasser OsmanDepartment of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Tarek El-DiastyDepartment of Radiology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Mansoura University · EGKafrelsheikh University · EGSohar University · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBecause the reports in the literature of radiologic investigations for upper tract urothelial cancer (UTUC) are limited by the number of patients, and included patients with different pathologies, we aimed to study the overall accuracy of computed tomography (CT) in the diagnosis of UTUC and their accuracy on predicting tumor location.

methodsA retrospective review from 1990 to 2017 included patients who were treated for UTUC. Unenhanced CT scan was obtained first using Multi-Detector Computed Tomography (MDCT, Philips Medical Systems), then nonionic contrast medium, containing 350 mg iodine/ml was injected at 4 mL/s. Analysis was performed using SPSS

resultsOf 275 patients, complete data on CT was available on 270 (98%) patients. CT reported only two false positive and six false negative results and the overall accuracy was 96-97%. In comparison to the final pathological reports, CT/CTU detected 85% of the tumor location of in the renal pelvic and 50% of the calyceal tumors. In ureteric tumors, they detected distal (66/71= 93%) more than proximal ureteric tumors (60%).

conclusionIn our cohort, CT/ CTU has a high overall accuracy (97%) in diagnosing UTUC, capability to well visualize tumors of distal ureter and renal pelvis, but could miss calyceal tumors. The matter to rely only on CT without ureteroscopic biopsy in the diagnosis of UTUC especially if radical surgery is planned needs further prospective studies.

Indexed as

Carcinoma transitional cellcomputed tomographyupper tract urothelial carcinomaupper urothelial cancer

Identifiers

PMID34759646
PMCPMC8525470
OpenAlexW3197760359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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 OpenQuestion graph.