Evidence map›Paper›PMID 32483398›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

Quantification of Osteosarcoma Mineralization on Plain Radiographs - Novel Software Applications to Assess Response to Chemotherapy.

Xiaochun Xu, Kimberley S Samkoe, Megan E Anderson, Eric R Henderson

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. 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, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Xiaochun XuDartmouth-Hitchcock Medical Center, Lebanon, NH 03756.
Kimberley S SamkoeDartmouth-Hitchcock Medical Center, Lebanon, NH 03756.
Megan E AndersonBoston Children's Hospital/Harvard Medical School, Boston, MA 02115.
Eric R HendersonDartmouth-Hitchcock Medical Center, Lebanon, NH 03756.
Dartmouth–Hitchcock Medical Center · USDartmouth College · USHarvard University · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Multimodal Fluorescence- and Imaging-Guided Surgical Navigation: Developing Methods for Subsurface, Indirect Visualization of Cancers Requiring Wide Local ExcisionK23EB026507 · NIBIB · DARTMOUTH-HITCHCOCK CLINIC · PI HENDERSON, ERIC R · 2018 to 2021
$679k
NCI NIH HHS P30 CA023108NIBIB NIH HHS K23 EB026507
6 · The paper itself

Abstract

Osteosarcoma is the most common primary malignant bone tumor in children. Patient survival with osteosarcoma is heavily influenced by the response to chemotherapy, measured by tumor necrosis upon histological analysis. Unfortunately, response is not measurable until the time of surgery and therefore modifications to chemotherapy protocol are only made after several weeks of treatment and surgery. Osteosarcoma tumors often demonstrate increased mineralization following the onset of chemotherapy. Furthermore, it has been hypothesized that this mineralization-apparent on radiographs-may correlate with chemotherapy response, however, this has not been demonstrated with qualitative visual evaluation. The ability to non-invasively measure a patient's response to chemotherapy using plain radiographs, which is currently included in the normal clinical workflow, would guide the medical oncologists to tailor treatment for patients with osteosarcoma. After obtaining appropriate multi-center institutional review board approvals, we identified 31patients that possess a pair of pre-and post-chemotherapy radiograph along with the necrosis measure. The images were digitized scans of physical radiographs between 1999 and 2013. Software was designed to measure the signal intensities in the tumor, a region of the soft tissue, air, and healthy bone. The tumor signals were normalized based on the random combination of air, soft tissue or bone, by subtraction or division. The differences in tumor signal between pre-and post-image were plotted against the percent necrosis determined by histological analysis. Different combinations of the normalization methods were compared 2based on the slope, coefficient of determination (R

Indexed as

chemotherapycomputer-aided detectiondrug responsemineralizationOsteosarcomaRadiograph

Identifiers

PMID32483398
PMCPMC7263182
OpenAlexW3008956917

What OpenQuestion holds

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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.