Evidence map›Paper›PMID 41677920›Full record

ArticleWorld journal of urology2026

Dynamic 18 F-PSMA-1007 PET-CT kinetics as a prognostic marker in newly diagnosed prostate cancer: a prospective pilot study.

Tarun Kumar Jain, Patel Meet, Ankur Punia, Hoti Lal Gupta, Subham Dadhich, Chaitanya Kalani, Kaushiki Shukla, Maneesh Kumar Vijay, Priya Sharma, Dinesh Yadav and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 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

12 authors.

Tarun Kumar JainDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India. tarun4891@gmail.com.
Patel MeetDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Ankur PuniaDepartment of Medical Oncology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Hoti Lal GuptaDepartment of Urology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Subham DadhichDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Chaitanya KalaniDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Kaushiki ShuklaDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Maneesh Kumar VijayDepartment of Onco-pathology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Priya SharmaDepartment of Nuclear Medicine, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Dinesh YadavDepartment of Surgical Oncology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Anushree LoyalDepartment of Radiation Oncology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.
Hemant MalhotraDepartment of Medical Oncology, Mahatma Gandhi medical college & hospital, Jaipur, 302022, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer remains a leading cause of cancer-related morbidity and mortality among men worldwide. Recent advances in molecular imaging, particularly Prostate-Specific Membrane Antigen labelled (PSMA) PET-CT, offers more robust diagnostic accuracy over conventional imaging with information regarding actual disease burden.

objectiveThis study evaluates the diagnostic and prognostic significance of dynamic PSMA PET-CT parameters, focusing on time-activity curve (TAC) patterns in newly diagnosed prostate cancer patients.

methodsA prospective single-arm study was conducted at a tertiary care center in India, involving 29 patients with histologically confirmed, untreated prostate adenocarcinoma. They underwent dynamic pelvic PSMA-1007 PET-CT followed by delayed whole-body 18 F-PSMA-1007 PET-CT scans. The time-activity curves (TACs) were generated from dynamic imaging and categorized into early and late crossing based on a 15-minute threshold limit. Patients were stratified by CHAARTED criteria (disease volume), Gleason score, and Serum PSA levels. Statistical analysis included t-tests, chi-square tests, regression analysis, and correlation studies.

resultsEarly TAC crossing was found in 69% of patients and was significantly associated with high disease volume (100%, p = 0.001) and higher serum PSA (p = 0.003). Late crossing patterns correlated with lower disease burden and 100% survival. Gleason score did not show any significant correlation with the disease volume or survival outcomes. TAC pattern was an independent predictor of disease volume (p < 0.0001).

conclusionDynamic PSMA PET-CT imaging can prove to be a significant tool for diagnosis and prognostication of newly diagnosed case of prostate cancer. Early crossing TAC patterns indicate more aggressive disease and overall poor prognosis.

Indexed as

AdenocarcinomaNiacinamideOligopeptidesPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedFluorine RadioisotopesHumansMaleMiddle AgedPilot ProjectsPrognosisProspective StudiesRadiopharmaceuticalsFluorine RadioisotopesNiacinamideOligopeptidesPSMA-1007RadiopharmaceuticalsCHAARTED criteriaDynamic imagingGleason scorePrognosisProstate cancerPSMA PET-CTSerum PSATime-activity curve

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.