Evidence map›Paper›PMID 35125755›Full record

ArticleIndian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

SUVmax/ADC Ratio as a Molecular Imaging Biomarker for Diagnosis of Biopsy-Naïve Primary Prostate Cancer.

Sheela Chinnappan, Piyush Chandra, John Santa Kumar, Ganesan Chandran, Satish Nath

Open access · hybridAbstract read
In one paragraph

Article in Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Predictive imaging biomarkers on whole-body diffusion-weighted MRI (WB-DWMRI) and [Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. The Role of [Cancers · 2022
    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

5 authors at 2 institutions in 1 country.

Sheela ChinnappanDepartment of Radiodiagnosis, Sri Ramchandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Piyush ChandraDepartment of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India.
John Santa KumarDepartment of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India.
Ganesan ChandranDepartment of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India.
Satish NathDepartment of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India.
Madras Institute of Orthopaedics and Traumatology · INSri Ramachandra Institute of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGallium-68-prostate-specific membrane antigen ( PATIENTS AND

methodsA retrospective study comparing and analyzing the diagnostic accuracy of prebiopsy DW-MRI and

resultsSixty-seven patients were included in the study, mean age: 70 years (range 49-84), mean PSA: 23.2 ng/ml (range 2.97-45.6). Biopsy was positive for PCa in 56% (

conclusionFor diagnosis of biopsy-naïve PCas, the combination of diffusion-weighted MRI and PSMA PET/CT (i.e., SUV

Indexed as

Apparent diffusion coefficientcancergallium-68magnetic resonance imagingpositron emission tomography/computed tomographyprostateprostate specific antigenprostate-specific membrane antigenprostatitisstandardized uptake maximum value

Identifiers

PMID35125755
PMCPMC8771060
OpenAlexW4206657667

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.