Evidence map›Paper›PMID 40420903›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2025

Role of Diffusion Weighted Magnetic Resonance Imaging in Oral Cancer in Predicting Response to Neoadjuvant Chemotherapy.

Aswathi Asok, S H Chandrashekhara, Raju Sharma, Sanjay Thulkar, Ashu Seith Bhalla, Dipin Sudhakaran, Devasenathipathy Kandasamy, Lalit Kumar, Sunil Kumar, Sudheer Arava

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Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2025. 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

10 authors.

Aswathi AsokDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
S H ChandrashekharaDepartment of Radio-Diagnosis (IRCH) , All India Institute of Medical Sciences, New Delhi, India.
Raju SharmaDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Sanjay ThulkarDepartment of Radio-Diagnosis (IRCH) , All India Institute of Medical Sciences, New Delhi, India.
Ashu Seith BhallaDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Dipin SudhakaranDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Devasenathipathy KandasamyDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Lalit KumarDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Sunil KumarDepartment of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Sudheer AravaDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, 110029 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To downstage the locally advanced or inoperable oral cancer, neoadjuvant chemotherapy (NACT) is required. Early response assessment to chemoradiotherapy is needed to avoid unnecessary treatment in patients who are nonresponders. We conducted a prospective study to evaluate the role of diffusion weighted imaging (DWI) in predicting the response after NACT in locally advanced carcinoma of oral cavity. After ethical approval, A total of 19 patients were enrolled for the study. MRI were performed using T1W, T2W, T1W post contrast and DW images (b values b0, 100, 500, and 1000 sec/mm

Indexed as

Diffusion weighted magnetic resonance imagingNeoadjuvant chemotherapyOral cancer

Identifiers

PMID40420903
PMCPMC12103455

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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.