Evidence map›Paper›PMID 41163760›Full record

ArticleJournal of medical physics

Dosimetric Comparison of Various Radiotherapy Planning Techniques in Postmastectomy Breast Cancer Patients.

Garima Gaur, Gurpreet Kaur, Pardeep Garg, Raja Paramjeet Singh Banipal, Vinod Kumar Dangwal, Baltej 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

6 authors.

Garima GaurDepartment of Radiation Oncology, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India.
Gurpreet KaurDepartment of Radiation Oncology, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India.
Pardeep GargDepartment of Radiation Oncology, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India.
Raja Paramjeet Singh BanipalDepartment of Radiation Oncology, Government Medical College, Patiala, Punjab, India.
Vinod Kumar DangwalDepartment of Radiation Oncology, Government Medical College, Patiala, Punjab, India.
Baltej SinghDepartment of Community and Medicine, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer is the most common cancer in females worldwide. Radiation therapy has occupied a very important role in the treatment of women with breast cancer in early as well as in advanced stage. Various modern states of art radiotherapy techniques are being used for the treatment of breast cancer. Objectives: The main objective of the study was to compare three different radiotherapy treatment planning techniques, namely three-dimensional conformal radiotherapy (3DCRT), field-in-field forward planned intensity modulated radiotherapy (FIF-FP-IMRT), and inversely planned IMRT (IP-IMRT) in terms of various dosimetric parameters. Materials and Methods: The present study involved 150 postmastectomy breast cancer patients. Treatment plans with three different planning techniques were generated for each patient and were compared for various dosimetric parameters of tumor and normal structures. Results: Statistically significant differences (P < 0.05) were observed for most of the dosimetric parameters on comparing three planning techniques. Conclusion: Most of the parameters were found in favor of IP-IMRT. FIF-FP-IMRT and IP-IMRT has been found better than 3DCRT.

Indexed as

Breast cancerfield-in-field forward planned intensity-modulated radiotherapyinversely planned intensity-modulated radiotherapyradiotherapythree-dimensional conformal radiotherapy

Identifiers

PMID41163760
PMCPMC12560987

What OpenQuestion holds

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Registered trials

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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.