Evidence map›Paper›PMID 26937435›Full record

ArticleEuropean journal of radiology open2015

Volumetric CT perfusion assessment of treatment response in head and neck squamous cell carcinoma: Comparison of CT perfusion parameters before and after chemoradiation therapy.

Lokesh Rana, Sanjiv Sharma, Shikha Sood, Balraj Singh, Manoj K Gupta, R S Minhas, Anupam Jhobta, Vikas Bhatia, Bargavee Venkat

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 15 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

9 authors at 1 institution in 1 country.

Lokesh RanaDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Sanjiv SharmaDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Shikha SoodDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Balraj SinghDepartment of Community Medicine, IGMC Shimla, Himachal Pradesh 171001, India.
Manoj K GuptaDepartment of Radiotherapy, Regional Cancer Research Centre, IGMC Shimla, Himachal Pradesh 171001, India.
R S MinhasDepartment of E.N.T., IGMC Shimla, Himachal Pradesh 171001, India.
Anupam JhobtaDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Vikas BhatiaDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Bargavee VenkatDepartment of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India.
Himachal Pradesh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeWorld Health Organization estimated that there were 600,000 new cases of head and neck cancers and 300,000 deaths each year worldwide. Scientific modalities to predict the treatment outcomes are not available yet. We conducted this study to (1) compare CT perfusion parameters before and after chemoradiation among patients with head and neck squamous cell carcinoma and (2) to evaluate the prognostic value of each perfusion parameter in predicting the response to chemoradiation. MATERIALS AND

methodsWe conducted a prospective study among all patients with head and neck squamous cell carcinoma registered for chemoradiotherapy (CRT) at Regional Cancer Research Center, Shimla, Himachal Pradesh, India during the period June 2012 through June 2013. CTp data were acquired on a 64-slice CT scanner (Light speed VCT Xte; GE Healthcare) with 14 cm z-axis coverage using Volume Helical Shuttle (VHS) feature at baseline, on completion of 40 Gy and 66 Gy of chemoradiation. We dichotomised the treatment outcome as complete response and non-response (partial responders/stable disease/progressive disease) using RECIST 1.1 criteria. We compared all perfusion parameters at baseline, 40 Gy and 66 Gy of CRT between responders and non-responders. We dichotomised the perfusion parameters as high (>median value) and low (≤median value) to analyze association between perfusion parameters and treatment outcome. We calculated the sensitivity, specificity, predictive values, and likelihood ratios for each dichotomized perfusion parameter using Wilson Score method.

resultsWe followed 24 patients (23 of them men) from start of the treatment till completion of it. All had Stage III or Stage IV of the disease. Blood flow (BF) and blood volume (BV) decreased and Mean Transit Time (MTT) increased significantly (p < 0.05) at 66 Gy among responders to CRT as compared to non-responders. Patients with high BF (>106 ml/100 g/min) at baseline were five times more likely (p = 0.004) to respond to treatment as compared to those with low BF. BF was found to be 83.3% predictive of complete response. Other perfusion parameters were not significantly predictive of outcome (p > 0.05) Combination of high BF (>106 ml/100 g/min) and low (≤47 ml/100 g/min) permeability surface (PS) was 100% predictive of response to CRT irrespective of the stage of tumor.

conclusionsHigh BF at baseline is the single best predictor of response to chemoradiaton. A combination of high BF and low PS was found to be 100% predictive of complete response irrespective of the stage of the tumor.

Indexed as

BF, blood flowBV, blood volumeCECT, contrast enhanced computed tomographyChemoradiationCR, complete responderCRT, chemotherapy and radiation therapyCT, computed tomographyCT perfusionCTP, perfusion computed tomographyHead and neck squamous cell carcinomaHNSCC, head and neck squamous cell carcinomaMVD, microvascular densityPD, progressive diseasePerfusion parametersPR, partial responderPS, permeability surface area productRECIST 1.1RECIST, response evaluation criteria in solid tumorsROI, region of interestSCCA, squamous cell carcinoma of aerodigestive tractSCC, squamous cell carcinoma

Identifiers

PMID26937435
PMCPMC4750578
OpenAlexW2016470364

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.