Evidence map›Paper›PMID 36305962›Full record

ReviewDiscover oncology2022

Application of radiomics in adrenal incidentaloma: a literature review.

Cheng Li, Yan Fu, Xiaoping Yi, Xiao Guan, Longfei Liu, Bihong T Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Discover oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Perspectives on Adrenal Tumor Surgery.Medicina (Kaunas, Lithuania) · 2025
    Article
  4. Article
  5. Article
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.

Cheng LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Yan FuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Xiaoping Yi *Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. yixiaoping@csu.edu.cn.
Xiao Guan *Department of Urological Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. doctorgx18@163.com.
Longfei Liu *Department of Urological Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. longfei_liu@163.com.
Bihong T ChenDepartment of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, USA.

Funding

China Post-Doctoral Science Foundation (2018M632997, 2022M710369Natural Science Foundation of China 81902727Natural Science Foundation of Hunan Province 2022JJ1179Xiangya-Peking University, Wei Ming Clinical and Rehabilitation Research Fund No. xywm2015I35
6 · The paper itself

Abstract

Assessment of adrenal incidentaloma relies on imaging analysis and evaluation of adrenal function. Radiomics as a tool for quantitative image analysis is useful for evaluation of adrenal incidentaloma. In this review, we examined radiomic literature on adrenal incidentaloma including both adrenal functional assessment and structural differentiation of benign versus malignant adrenal tumors. In this review, we summarized the status of radiomic application on adrenal incidentaloma and suggested potential direction for future research.

Indexed as

Adrenal incidentalomaDifferentiationFunctional assessmentRadiomicsTexture analysis

Identifiers

PMID36305962
PMCPMC9616972

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.