Evidence map›Paper›PMID 30231854›Full record

ArticleBMC cancer2018

Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching 'liquid biopsy' and quantitative tumor modeling.

Sweet Ping Ng, Houda Bahig, Jihong Wang, Carlos E Cardenas, Anthony Lucci, Carolyn S Hall, Salyna Meas, Vanessa N Sarli, Ying Yuan, Diana L Urbauer and 18 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03491176 (Quantification of Tumor Imaging Kinetics and Blood Biomarkers in Head and Neck Cancer Patients), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 12% 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.

NCT03491176 active not recruitingnot on this map

Quantification of Tumor Imaging Kinetics and Blood Biomarkers in Head and Neck Cancer Patients

TypeobservationalSponsorM.D. Anderson Cancer CenterRan2017 to 2027Enrolled100ConditionsCutaneous Squamous Cell Carcinoma of the Head and Neck, Healthy Subject, Head and Neck CancerArmsBiospecimen Collection, Magnetic Resonance Imaging, Quality-of-Life Assessment, Questionnaire Administration
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 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

28 authors at 2 institutions in 2 countries.

Sweet Ping NgDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA. sweetping.ng@gmail.com.ORCID http://orcid.org/0000-0003-1721-0680
Houda BahigDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Jihong WangDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Carlos E CardenasDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Anthony LucciDepartment of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Carolyn S HallDepartment of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Salyna MeasDepartment of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vanessa N SarliDepartment of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ying YuanDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Diana L UrbauerDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yao DingDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shane IknerDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Vi DinhDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Baher A ElgohariDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Jason M JohnsonDepartment of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heath D SkinnerDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
G Brandon GunnDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Adam S GardenDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Jack PhanDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
David I RosenthalDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
William H MorrisonDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Steven J FrankDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Katherine A HutchesonDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Abdallah S R MohamedDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Stephen Y LaiDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Renata FerrarottoDepartment of Thoracic Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Michael P MacManusDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Clifton D FullerDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · USPeter MacCallum Cancer Centre · AU

Funding

Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER)R25EB025787 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DAS, PRAJNAN, FULLER, CLIFTON DAVID · 2018 to 2022
$535k
NIBIB NIH HHS R25 EB025787Radiological Society of North America RSNA Fellow GrantRoyal Australian and New Zealand College of Radiologists (AU) RANZCR Research Grant
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) has improved capacity to visualize tumor and soft tissue involvement in head and neck cancers. Using advanced MRI, we can interrogate cell density using diffusion weighted imaging, a quantitative imaging that can be used during radiotherapy, when diffuse inflammatory reaction precludes PET imaging, and can assist with target delineation as well. Correlation of circulating tumor cells (CTCs) measurements with 3D quantitative tumor characterization could potentially allow selective, patient-specific response-adapted escalation or de-escalation of local therapy, and improve the therapeutic ratio, curing the greatest number of patients with the least toxicity.

methodsThe proposed study is designed as a prospective observational study and will collect pretreatment CT, MRI and PET/CT images, weekly serial MR imaging during RT and post treatment CT, MRI and PET/CT images. In addition, blood sample will be collected for biomarker analysis at those time intervals. CTC assessments will be performed on the CellSave tube using the FDA-approved CellSearch® Circulating Tumor Cell Kit (Janssen Diagnostics), and plasma from the EDTA blood samples will be collected, labeled with a de-identifying number, and stored at - 80 °C for future analyses. DISCUSSION: The primary objective of the study is to evaluate the prognostic value and correlation of weekly tumor response kinetics (gross tumor volume and MR signal changes) and circulating tumor cells of mucosal head and neck cancers during radiation therapy using MRI in predicting treatment response and clinical outcomes. This study will provide landmark information as to the utility of CTCs ('liquid biopsy) and tumor-specific functional quantitative imaging changes during treatment to guide personalization of treatment for future patients. Combining the biological information from CTCs and the structural information from MRI may provide more information than either modality alone. In addition, this study could potentially allow us to determine the optimal time to obtain MR imaging and/ or CTCs during radiotherapy to assess tumor response and provide guidance for patient selection and stratification for future dose escalation or de-escalation strategies.

trial registrationClinicaltrials.gov ( NCT03491176 ). Date of registration: 9

Indexed as

Clinical ProtocolsMagnetic Resonance ImagingBiomarkersFemaleHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLiquid BiopsyMaleNeoplastic Cells, CirculatingPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisProspective StudiesTreatment OutcomeBiomarkersBiomarkerCirculating tumor cellsHead and neck cancerMagnetic resonance imaging

Identifiers

PMID30231854
PMCPMC6148797
OpenAlexW2890272868

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.