Evidence map›Paper›PMID 35428360›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2022

Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review.

Zhao Chen, Xueqi Chen, Rongfu Wang

Open access · goldAbstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. 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
2.3field-weighted citation impact, top 11% 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, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Recent nanotheranostic approaches in cancer research.Clinical and experimental medicine · 2024
    Review
  6. 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

3 authors at 1 institution in 1 country.

Zhao ChenDepartment of Nuclear Medicine, Peking University First Hospital, Xicheng District, Beijing, 100034, China.
Xueqi ChenDepartment of Nuclear Medicine, Peking University First Hospital, Xicheng District, Beijing, 100034, China.
Rongfu WangDepartment of Nuclear Medicine, Peking University First Hospital, Xicheng District, Beijing, 100034, China. rongfu_wang@163.com.
Peking University · CN

Funding

Beijing Municipal Science and Technology Project Z181100001618017National Special Fund for the Development of Major Research Equipment and Instruments 2011YQ03011409the Twelfth "Five-Year" Plan for Science and Technology Support 2014BAA03B03
6 · The paper itself

Abstract

Bone metastasis has a significant influence on the prognosis of prostate cancer(PCa) patients. In this review, we discussed the current application of PCa bone metastasis diagnosis with single-photon emission computed tomography (SPECT) and positron emission tomography/computed tomography (PET/CT) computer-aided diagnosis(CAD) systems. A literature search identified articles concentrated on PCa bone metastasis and PET/CT or SPECT CAD systems using the PubMed database. We summarized the previous studies focused on CAD systems and manual quantitative markers calculation, and the coincidence rate was acceptable. We also analyzed the quantification methods, advantages, and disadvantages of CAD systems. CAD systems can detect abnormal lesions of PCa patients'

Indexed as

Bone NeoplasmsProstatic NeoplasmsComputersHumansMalePositron Emission Tomography Computed TomographyTomography, Emission-Computed, Single-PhotonBone metastasisComputer-aided diagnosisPET/CTProstate cancerSPECT

Identifiers

PMID35428360
PMCPMC9013072
OpenAlexW4224118633

What OpenQuestion holds

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LicenceCC BY
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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.