Evidence map›Paper›PMID 41163753›Full record

ArticleJournal of medical physics

Comparative Dosimetric Analysis of Three Radiotherapy Fractionation Schedules in Synchronous Bilateral Breast Cancer: Evaluation of Lung and Heart Normal Tissue Complication Probability.

Deepali Patil, Mukesh Kumar Zope, Richa Madhawi, Seema Devi, Devraj Singh

Abstract read
In one paragraph

Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Deepali PatilDepartment of Medical Physics, State Cancer Institute, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
Mukesh Kumar ZopeDepartment of Medical Physics, State Cancer Institute, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
Richa MadhawiRadiation Oncology, State Cancer Institute, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
Seema DeviRadiation Oncology, State Cancer Institute, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
Devraj SinghDepartment of Physics, Institute of Physical Sciences for Study and Research, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aims to evaluate and compare the impact of dosimetric parameters on lungs, heart, and associated normal tissue complication probability (NTCP) values among three different right (RT) prescription doses in patients with synchronous bilateral breast cancer (SBBC). Materials and Methods: For retrospectively selected five patients diagnosed with SBBC, volumetric-modulated arc therapy treatment plans were developed across three different fractionation schedules: ultra-hypofractionated (UHF) (26 Gy/5#), hypofractionated (HF) (40.05 Gy/15#), and conventional fractionation (CF) (50 Gy/25#). The dosimetric parameters, including conformity index (CI), coverage index, homogeneity index, D95%, and V105%, along with the doses to organ at risk (OAR) (lung, heart, left anterior descending artery), were assessed. NTCP models were used to estimate the risks of complications. Results: The dose-volume parameters for OAR exhibited a parabolic trend (χ Conclusion: This study provides evidence in favor of hypofractionation for breast cancer radiotherapy, showing promise in minimizing normal tissue side effects.

Indexed as

Bilateral breast cancerdifferent radiotherapy fractionationdosimetrynormal tissue complication probabilityorgans at risktreatment planningvolumetric-modulated arc therapy

Identifiers

PMID41163753
PMCPMC12560980

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.