Evidence map›Paper›PMID 34392364›Full record

ArticleNeurosurgery2021

The Initial Step Towards Establishing a Quantitative, Magnetic Resonance Imaging-Based Framework for Response Assessment of Spinal Metastases After Stereotactic Body Radiation Therapy.

Pejman Jabehdar Maralani, Chia-Lin Tseng, Hamidreza Baharjoo, Erin Wong, Anish Kapadia, Archya Dasgupta, Peter Howard, Aimee K M Chan, Eshetu G Atenafu, Hua Lu and 11 more

Open access · greenAbstract read
In one paragraph

Article in Neurosurgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
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

21 authors at 3 institutions in 2 countries.

Pejman Jabehdar MaralaniDepartment of Medical Imaging, University of Toronto, Toronto, Canada.ORCID 0000-0001-9975-4379
Chia-Lin TsengDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.ORCID 0000-0002-3700-0886
Hamidreza BaharjooDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Erin WongDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Anish KapadiaDepartment of Medical Imaging, University of Toronto, Toronto, Canada.ORCID 0000-0002-8779-1962
Archya DasguptaDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.ORCID 0000-0001-8341-2622
Peter HowardDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Aimee K M ChanDepartment of Medical Imaging, University of Toronto, Toronto, Canada.ORCID 0000-0002-1978-2853
Eshetu G AtenafuDepartment of Biostatistics, University Health Network, Toronto, Canada.ORCID 0000-0002-4613-3680
Hua LuDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Pascal TyrrellDepartment of Medical Imaging, University of Toronto, Toronto, Canada.ORCID 0000-0003-2277-3824
Sunit DasDepartment of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Canada.ORCID 0000-0002-2146-4168
Seyedmehdi PayabvashDepartment of Radiology, Yale School of Medicine, New Haven, Connecticut, USA.
Jay DetskyDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.ORCID 0000-0002-0117-6839
Zain HusainDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Sten MyrehaugDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Hany SolimanDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Hanbo ChenDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Chris HeynDepartment of Medical Imaging, University of Toronto, Toronto, Canada.ORCID 0000-0002-3226-5199
Sean SymonsDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Arjun SahgalDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.ORCID 0000-0001-7991-8970
University of Toronto · CAUniversity Health Network · CAYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Radiomics Signatures and Patient Outcomes in Intracerebral HemorrhageK23NS118056 · NINDS · YALE UNIVERSITY · PI Seyedmehdi Payabvash · 2021 to 2026
$780k
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThere are no established threshold values regarding the degree of growth on imaging when assessing response of spinal metastases treated with stereotactic body radiation therapy (SBRT).

objectiveTo determine a magnetic resonance imaging-based minimum detectable difference (MDD) in gross tumor volume (GTV) and its association with 1-yr radiation site-specific (RSS) progression-free survival (PFS).

methodsGTVs at baseline and first 2 post-SBRT scans (Post1 and Post2, respectively) for 142 spinal segments were contoured, and percentage volume change between scans calculated. One-year RSS PFS was acquired from medical records. The MDD was determined. The MDD was compared against optimal thresholds of GTV changes associated with 1-yr RSS PFS using Youden's J index, and receiver operating characteristic curves between timepoints compared to determine which timeframe had the best association.

resultsA total of 17 of the 142 segments demonstrated progression. The MDD was 10.9%. Baseline-Post2 demonstrated the best performance (area under the curve [AUC] 0.90). Only Baseline-Post2 had an optimal threshold > MDD at 14.7%. Due to large distribution of GTVs, volumes were split into tertiles. Small tumors (GTV < 2 cc) had optimal thresholds of 42.0%, 71.3%, and 37.2% at Baseline-Post1 (AUC 0.81), Baseline-Post2 (AUC 0.89), and Post1-Post2 (AUC 0.77), respectively. Medium tumors (2 ≤ GTV ≤ 8.3 cc) all demonstrated optimal thresholds < MDD, with AUCs ranging from 0.65 to 0.84. Large tumors (GTV > 8.3 cc) had 2 timepoints where optimal thresholds > MDD: Baseline-Post2 (13.3%; AUC 0.97) and Post1-Post2 (11.8%; AUC 0.66). Baseline-Post2 had the best association with RSS PFS for all tertiles.

conclusionGiven a MDD of 10.9%, for small GTVs, larger (>37%) changes were required before local failure could be determined, compared to 11% to 13% for medium/large tumors.

Indexed as

RadiosurgerySpinal NeoplasmsHumansMagnetic Resonance ImagingRadiotherapy Planning, Computer-AssistedSpineAssessmentDisease progressionMetastasisOutcomeSpineStereotactic body radiotherapy

Identifiers

PMID34392364
PMCPMC8645191
OpenAlexW3195515270

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.