Evidence map›Paper›PMID 40024932›Full record

ArticleLasers in medical science2025

Ex-vivo optical prognosis of fibroadenoma and grade ll & lll breast cancer.

Munir Akhtar, Muhammad Abubakar Siddique, Muhammad Abdul Majid, Shahida Parveen, Rubaida Mehmood, Sumara Ashraf, Irum Fida, Wesam Atef Hatamleh, Muhammad Umar Dad, Hafeez Ullah

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Article in Lasers in medical science, 2025. 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

10 authors.

Munir AkhtarBiophotonics Imaging Techniques Laboratory, Institute of Physics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Muhammad Abubakar SiddiqueBiophotonics Imaging Techniques Laboratory, Institute of Physics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Muhammad Abdul MajidBiophotonics Imaging Techniques Laboratory, Institute of Physics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Shahida ParveenGynecology & Obs Dept. Ward No 17, Nishtar Medical University & Hospital, Multan, Pakistan.
Rubaida MehmoodHead Labs Sections, MINAR Cancer Hospital, PAEC, Multan, Pakistan.
Sumara AshrafDepartment of Physics, The Women University, Multan, Pakistan.
Irum FidaHead Labs Sections, MINAR Cancer Hospital, PAEC, Multan, Pakistan.
Wesam Atef HatamlehDepartment of computer science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia.
Muhammad Umar DadSchool of Physics and Electronic Science, East China Normal University, Shanghai, 200062, China.
Hafeez UllahBiophotonics Imaging Techniques Laboratory, Institute of Physics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan. hafeezullah@iub.edu.pk.

Funding

King Saud University RSP2025R384
6 · The paper itself

Abstract

Among women worldwide, breast cancer is one of the most common cancers results from the growth of cancerous cells. This work investigates 87 patients using polarimetry in the visible spectral range (400-800 nm). Polarimetry is used for tissue characterization, particularly to prognosis cancer and biochemical quantification. Nine derived polarization properties were compared for both malignant and benign breast tissue. All nine polarimetric properties have high values for Grade III as compared to grade II and fibroadenoma. Benign tumours have higher anisotropy than malignant tumors. Ellipticity and orientation exhibit an inverse tendency. Hematology shows that moringa significantly improves the blood components of breast cancer. Pearson & Spearman correlation analysis was used with level of significance p < 0.05 where' p' is probability that the observed effect within the study would have occurred by chance. All parameters and components show significance level expect Leukocytes, Urea, Creatinine, SGOT and Bilirubin Total. Model training is a difficult procedure that determines the quality of application upon which it is deployed. Our data produces the accuracy 82.8%, with 1360 observations and 38 predictors. Thus a framework for breast cancer prognosis is provided by the combination of polarisation analysis, math and classification techniques.

Indexed as

Breast NeoplasmsFibroadenomaAdultFemaleHumansMiddle AgedNeoplasm GradingPrognosisBreast CancerDifferential decompositionHematologyHistopathologyMueller matrix polarimetryMueller matrix transformationPhotoluminescence

Identifiers

PMID40024932

What OpenQuestion holds

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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.