Evidence map›Paper›PMID 33402501›Full record

ArticleIn vivo (Athens, Greece)

Tensor Regression-based Model to Investigate Heterogeneous Spatial Radiosensitivity After I-125 Seed Implantation for Prostate Cancer.

Kazuma Kobayashi, Naoya Murakami, Kana Takahashi, Koji Inaba, Hiroshi Igaki, Ryuji Hamamoto, Jun Itami

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). 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
0.1field-weighted citation impact, top 53% 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, 1 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

7 authors at 3 institutions in 2 countries.

Kazuma KobayashiDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, Tokyo, Japan; kazumkob@ncc.go.jp.
Naoya MurakamiDepartment of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan.
Kana TakahashiDepartment of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan.
Koji InabaDepartment of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan.
Hiroshi IgakiDepartment of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan.
Ryuji HamamotoDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, Tokyo, Japan.
Jun ItamiDepartment of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan.
Tokyo National Hospital · JPNational Cancer Research Institute · GBTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimWe established a data-driven method for extracting spatial patterns of dose distribution associated with radiation injuries, based on patients with prostate cancer who underwent iodine-125 (I-125) seed implantation. PATIENTS AND

methodsSeventy-five patients underwent I-125 seed implantation for prostate cancer. We modeled the severity of lower urinary tract symptoms (LUTS) to be estimated using a linear model, which is formulated as an inner product between the dose distribution

resultsThe spatial distribution of

conclusionOur tensor regression-based model can predict intra-organ radiosensitivity in a data-driven manner, providing a compelling parameter distribution associated with the development of LUTS after I-125 seed implantation for prostate cancer.

Indexed as

BrachytherapyProstatic NeoplasmsHumansIodine RadioisotopesMaleRadiation ToleranceRadiotherapy DosageIodine-125Iodine Radioisotopesanatomical standardizationbrachytherapyheterogeneous intra-organ radiosensitivityProstate cancertensor regression

Identifiers

PMID33402501
PMCPMC7880750
OpenAlexW3120731632

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.