Evidence map›Paper›PMID 30003453›Full record

ReviewMolecular imaging and biology2019

The Complexity and Fractal Geometry of Nuclear Medicine Images.

Fabio Grizzi, Angelo Castello, Dorina Qehajaj, Carlo Russo, Egesta Lopci

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02519062 (FDG-PET, Marker Immunologici ed Ipossici in Pazienti Affetti da Carcinoma Polmonare Non a Piccole Cellule in Stadio I-III Sottoposti a Chirurgia Radicale), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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.

NCT02519062 completednot on this map

FDG-PET, Marker Immunologici ed Ipossici in Pazienti Affetti da Carcinoma Polmonare Non a Piccole Cellule in Stadio I-III Sottoposti a Chirurgia Radicale

TypeobservationalSponsorIstituto Clinico HumanitasRan2014 to 2018Enrolled130ConditionsCarcinoma, Non-Small-Cell LungArmsNo intervention
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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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

5 authors.

Fabio GrizziDepartment of Immunology and Inflammation, Humanitas Clinical and Research Hospital, Via Manzoni 56 - Rozzano, 20089, Milan, Italy.
Angelo CastelloDepartment of Nuclear Medicine, Humanitas Clinical and Research Hospital, Via Manzoni 56 - Rozzano, 20089, Milan, Italy.
Dorina QehajajDepartment of Immunology and Inflammation, Humanitas Clinical and Research Hospital, Via Manzoni 56 - Rozzano, 20089, Milan, Italy.
Carlo Russo"Michele Rodriguez" Foundation, Via Ludovico di Breme, 79, 20156, Milan, Italy.
Egesta LopciDepartment of Nuclear Medicine, Humanitas Clinical and Research Hospital, Via Manzoni 56 - Rozzano, 20089, Milan, Italy. egesta.lopci@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irregularity in shape and behavior is the main feature of every anatomical system, including human organs, tissues, cells, and sub-cellular entities. It has been shown that this property cannot be quantified by means of the classical Euclidean geometry, which is only able to describe regular geometrical objects. In contrast, fractal geometry has been widely applied in several scientific fields. This rapid growth has also produced substantial insights in the biomedical imaging. Consequently, particular attention has been given to the identification of pathognomonic patterns of "shape" in anatomical entities and their changes from natural to pathological states. Despite the advantages of fractal mathematics and several studies demonstrating its applicability to oncological research, many researchers and clinicians remain unaware of its potential. Therefore, this review aims to summarize the complexity and fractal geometry of nuclear medicine images.

Indexed as

FractalsNuclear MedicineRadionuclide ImagingHumansMedical OncologyAnatomyComplexityFractalsGeometryNuclear medicine

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.