Evidence map›Paper›PMID 42371020›Full record

ReviewAbdominal radiology (New York)2026

Not just two roads down: a multimodality radiologic-pathologic review of ureteral diseases.

Javier Azpeitia-Hernandez, Francisco Javier Azpeitia Arman, Rosa Maria Lorente-Ramos, Miguel Leon García, María Juan Porter

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Javier Azpeitia-HernandezDepartment of Radiology, Hospital Central de la Defensa Gómez Ulla, Madrid, Spain.
Francisco Javier Azpeitia ArmanDepartment of Radiology, UCR Hospital Infanta Leonor, Madrid, Spain. fjavier.azpeitia@salud.madrid.org.
Rosa Maria Lorente-RamosDepartment of Radiology, UCR Hospital Infanta Leonor, Madrid, Spain.
Miguel Leon GarcíaDepartment of Radiology, UCR Hospital Infanta Leonor, Madrid, Spain.
María Juan PorterDepartment of Radiology, UCR Hospital Infanta Leonor, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ureteral diseases encompass a broad spectrum of congenital, inflammatory, obstructive, neoplastic, and iatrogenic conditions that frequently pose diagnostic challenges in daily radiologic practice. Computed tomography urography (CTU) has emerged as the reference standard for evaluating ureteral pathology because of its ability to assess the lumen, wall, and periureteral tissues with high spatial resolution. However, ultrasound, magnetic resonance urography, and fluoroscopic techniques remain essential complementary tools in specific clinical scenarios. This pictorial review provides a comprehensive overview of ureteral diseases, emphasizing characteristic imaging features, diagnostic pitfalls, and radiologic-pathologic correlation. The review covers congenital anomalies, ureteral lithiasis, inflammatory and infectious diseases, benign and malignant tumors, extrinsic compression, and post-procedural changes. Special attention is given to the recognition of complications related to surgical and interventional procedures, which represent an increasingly frequent clinical challenge in daily radiologic practice. This review provides a structured multimodality framework to support accurate diagnosis, guide management decisions, and improve communication with referring clinicians.

Indexed as

Computed tomography urographyRadiologic–pathologic correlationUreterUreteral neoplasmsUreteral obstructionUrography

Identifiers

What OpenQuestion holds

Textmetadata
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.