Evidence map›Paper›PMID 26552923›Full record

ArticleLasers in medical science2016

A grid matrix-based Raman spectroscopic method to characterize different cell milieu in biopsied axillary sentinel lymph nodes of breast cancer patients.

Dipasree Som, Megha Tak, Mohit Setia, Asawari Patil, Amit Sengupta, C Murali Krishna Chilakapati, Anurag Srivastava, Vani Parmar, Nita Nair, Rajiv Sarin and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 19% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 4 institutions in 1 country.

Dipasree SomBioengineering Lab, Office: PS-113, Advanced center for Treatment, Research and Education in Cancer, TATA Memorial Centre, Kharghar, Navi Mumbai, 410210, India. somdipa87@gmail.com.
Megha TakB. Tech, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhi Nagar, Gujarat, India. meghatak7@gmail.com.
Mohit SetiaB. Tech, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhi Nagar, Gujarat, India. manshu.setia@gmail.com.
Asawari PatilDepartment of Surgical Pathology, Tata Memorial Hospital-TMC, Mumbai, 400012, India. asawaripatil@yahoo.com.
Amit SenguptaBioengineering Lab, Office: PS-113, Advanced center for Treatment, Research and Education in Cancer, TATA Memorial Centre, Kharghar, Navi Mumbai, 410210, India. asengupta@actrec.gov.in.
C Murali Krishna ChilakapatiChilakapati Lab, Advanced Center for Treatment, Research & Education in Cancer (ACTREC-TMC), Kharghar, Navi Mumbai, 410210, India. mchilakapati@actrec.gov.in.
Anurag SrivastavaDepartment of Surgery, All India Institute of Medical Sciences, New Delhi, 110029, India. dr.anuragsrivastava@gmail.com.
Vani ParmarDepartment of Breast Surgery, Tata Memorial Hospital-TMC, Mumbai, 400012, India. vaniparmar@gmail.com.
Nita NairDepartment of Breast Surgery, Tata Memorial Hospital-TMC, Mumbai, 400012, India. nitanair@hotmail.com.
Rajiv SarinRadiation Oncology, Advanced Center for Treatment, Research and Education in Cancer (ACTREC-TMC), Navi Mumbai, 410210, India. rsarin@actrec.gov.in.
R BadweDepartment of Breast Surgery, Tata Memorial Hospital-TMC, Mumbai, 400012, India. badwera@tmc.gov.in.
Advanced Centre for Treatment, Research and Education in Cancer · INTata Memorial Hospital · INDhirubhai Ambani Institute of Information and Communication Technology · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy which is based upon inelastic scattering of photons has a potential to emerge as a noninvasive bedside in vivo or ex vivo molecular diagnostic tool. There is a need to improve the sensitivity and predictability of Raman spectroscopy. We developed a grid matrix-based tissue mapping protocol to acquire cellular-specific spectra that also involved digital microscopy for localizing malignant and lymphocytic cells in sentinel lymph node biopsy sample. Biosignals acquired from specific cellular milieu were subjected to an advanced supervised analytical method, i.e., cross-correlation and peak-to-peak ratio in addition to PCA and PC-LDA. We observed decreased spectral intensity as well as shift in the spectral peaks of amides and lipid bands in the completely metastatic (cancer cells) lymph nodes with high cellular density. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to create an automated smart diagnostic tool for bench side screening of sampled lymph nodes. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to develop an automated smart diagnostic tool for bench side screening of sampled lymph nodes supported by ongoing global research in developing better technology and signal and big data processing algorithms.

Indexed as

Sentinel Lymph Node BiopsyAlgorithmsAxillaBreast NeoplasmsFemaleHumansLymphatic MetastasisSpectrum Analysis, RamanAxillary lymph nodeCross-correlationGrid matrixHistopathologyPeak-to-peak ratioRaman spectroscopy

Identifiers

PMID26552923
OpenAlexW2191773047

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.