Evidence map›Paper›PMID 31748942›Full record

ReviewMedical & biological engineering & computing2020

An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Ravinder Kaur, Mamta Juneja, A K Mandal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Ravinder KaurUIET Panjab University, Chandigarh, India.
Mamta JunejaUIET Panjab University, Chandigarh, India. mamtajuneja@pu.ac.in.
A K MandalPGIMER, Chandigarh, India.
Panjab University · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal imaging is an essential investigative tool and preliminary task for determining a suitable sanative option for the treatment of kidney cancer. In recent decades, with the increasing usage of abdominal imaging, there is an upsurge in the number of adrenal incidentalomas. Among these accidentally revealed lesions, most of them are complex that warrant immediate aggressive treatment planning due to their malignant potential. The guidelines given by the American Urological Association (AUA), American College of Radiology (ACR), and European Association of Urology (EAU) vary concerning the use of ideal preliminary imaging modality to investigate the patients with suspected flank pain, hematuria, or palpable mass in the abdomen. Initially, an effort has been made to discriminate cystic and solid renal lesions which are helpful in separating benign and malignant nature as different imaging patterns are observed on distinct imaging modalities for solid and cystic renal lesions. Various attempts have been made to improve the accuracy of cancer diagnosis by employing different imaging modalities. The primary aim of this article is to study the capabilities of different imaging techniques for detecting and differentiating solid and cystic lesions to facilitate treatment planning based on computed tomography (CT), ultrasonography (US), magnetic resonance imaging (MRI), positron emission tomography (PET), and optical coherence tomography (OCT). Further, the advantages, disadvantages, new advancements, and future scope of each of the imaging modality have also been highlighted so that one can make a correct choice of imaging technique for diagnosis of a specific type of lesion. Additionally, some recommendations have also been mentioned by listing the requirements for the perfect imaging modality. Graphical abstract.

Indexed as

Diagnostic ImagingAnimalsHumansKidneyKidney Diseases, CysticCTCysticLesionsMRIOCTPETRenal cancerUS

Identifiers

PMID31748942
OpenAlexW2990141718

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.