Evidence map›Paper›PMID 37342608›Full record

ArticleJournal of medical physics

Prognosticating Gross Tumor Volume in Head-and-Neck Cancer - Redefining Gross Tumor Volume Beyond Contouring.

Imtiaz Ahmed, Sapna Krishnamurthy, Kumar Vinchurkar

Open access · diamondAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Imtiaz AhmedDepartment of Radiation Oncology, JNMC and KLES, Dr. Prabhakar Kore Hospital and MRC, KAHER, Belgaum, Karnataka, India.
Sapna KrishnamurthyDepartment of Radiation Oncology, JNMC and KLES, Dr. Prabhakar Kore Hospital and MRC, KAHER, Belgaum, Karnataka, India.
Kumar VinchurkarDepartment of Surgical Oncology, JNMC and KLES, Dr. Prabhakar Kore Hospital and MRC, KAHER, Belgaum, Karnataka, India.
KLE Society Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Precision radiotherapy (RT) requires accurate delineation of gross tumor volumes (GTVs) for targeted dose delivery. Volumetric measurement of this GTV can predict the treatment outcomes. This volume has been limited for mere contouring and its potential as the prognostic factor is less explored. Materials and Methods: The data of 150 patients with oropharynx, hypopharynx, and larynx cancer undergoing curative intensity-modulated RT and weekly cisplatin between April 2015 and December 2019 were retrospectively evaluated. GTV-P (primary), GTV-N (nodal), and GTV-P+N were defined, and volumetric parameters were generated. Volume thresholds were defined as per the receiver operating characteristics, and the prognostic value of these tumor volumes (TVs) with respect to treatment outcomes was analyzed. Results: All patients completed 70 Gy, median chemotherapy cycles were six. Mean GTV-P, GTV-N, and GTV-P+N were 44.5 cc, 13.4 cc, and 57.9 cc, respectively. Oropharynx constituted 45% of cases. Forty-nine percent had Stage III disease. Sixty-six percent had complete response (CR). As per the defined cutoff values, GTV-P <30cc, GTV-N <4 cc, and GTV-P+N <50 cc had better CR rates with Conclusion: GTV should not just be limited for contouring but its role as an important prognostic factor has to be recognized.

Indexed as

Gross tumor volumeshead-and-neck cancerintensity-modulated radiotherapyprognostic factor

Identifiers

PMID37342608
PMCPMC10277296
OpenAlexW4372047093

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.