Evidence map›Paper›PMID 40735764›Full record

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

Metabolic Imaging Parameters of

Deepanksha Datta, Alok Mandal, Akhil Dhanesh Goel, Rajesh Kumar

Abstract 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. 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

4 authors.

Deepanksha DattaDepartment of Nuclear Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Alok MandalDepartment of Nuclear Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Akhil Dhanesh GoelDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Rajesh KumarDepartment of Nuclear Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The proliferation index (Ki-67 index) is a known independent prognostic marker in carcinoma breast, and its expression is directly proportional to higher recurrence and worse prognosis. However, there is no standard cutoff of the Ki-67 index to determine its low or high expression. In this study, we aim to find the association of various metabolic parameters on Materials and Methods: This is a retrospective study conducted in a tertiary hospital in North India between February 2021 and 2024. All histopathologically proven female cases of carcinoma breast with reported Ki-67 index and baseline Results: Sixty-five female patients met the inclusion criteria, and the majority of them presented with intraductal carcinoma. The median value (interquartile range [IQR]) of the Ki-67 index was 40% (IQR: 50%). The primary breast tumor showed median (IQR) of SUVmax, SUR, TLG, and MTV of 10.3 g/mL (7.2), 3.7 (2.9), 102.9 g.cub/mL (184.7), and 16.2 cm Conclusion: Metabolic parameters on

Indexed as

18F FDG positron emission tomography/computed tomographyCarcinoma breastKi-67 indexmetabolic tumor volumeradiogenomicsSUVmaxtotal lesion glycolysis

Identifiers

PMID40735764
PMCPMC12303211

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.