Evidence map›Paper›PMID 33963465›Full record

ReviewJapanese journal of radiology2021

Temporal evolution of metastatic disease: part I-an in-depth review of the evolution of metastatic disease across diverse spectrum of non-neural solid tumors on serial oncologic imaging studies and relevant practical applications.

Nahyun Jo, Leonardo Marcal, Venkata Subbiah Katabathina, Ajaykumar C Morani, Medhini Rachamallu, Srinivasa Prasad, Sireesha Yedururi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2021. 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
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.

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.

Nahyun JoDepartment of Internal Medicine, UAB Montgomery Regional Medical Campus, 2055 East South Blvd, Ste 200, Montogomery, AL, 36116, USA.
Leonardo MarcalDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA.
Venkata Subbiah KatabathinaDepartment of Radiology, The University of Texas Health Science Center, Floyd Curl Drive, 7703, San Antonio, TX, 78229, USA.
Ajaykumar C MoraniDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA.
Medhini RachamalluDepartment of Biomedical Engineering, The University of Virginia, 415 Lane Road, MR5 2010 Box 800759, Charlottesville, VA, USA.
Srinivasa PrasadDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA.
Sireesha YedururiDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA. syedururi@mdanderson.org.ORCID http://orcid.org/0000-0001-6391-3446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With improved survival rates of patients with metastatic disease due to continuously evolving multimodality treatment options, radiologists are increasingly interpreting imaging studies from patients with protracted metastatic disease. It is thus crucial for radiologists to have an in-depth understanding of the temporal evolution of metastatic spread and the accompanying findings on imaging studies, to provide accurate interpretation that supports optimal management. A general overview of the evolution of cancer spread on serial imaging studies and common pathways of tumor spread across multiple tumor types and tumor locations is not readily available in radiology literature. The key common pathways of tumor spread across diverse spectrum of tumors relevant to radiologists are summarized in a logical schematic approach which focusses on aiding radiologists to understand the pathways of spread resulting in current sites of metastatic disease involvement and then to potentially predict future sites of metastatic involvement. This article also summarizes the practical applications of this knowledge to the routine oncologic imaging interpretation.

Indexed as

NeoplasmsNeoplasms, Second PrimaryDiagnostic ImagingHumansCancer imagingDiverse primary tumorsMetastatic diseasePathways of tumor spreadTemporal evolution

Identifiers

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.