Evidence map›Paper›PMID 35947984›Full record

ArticlePhysics in medicine and biology2022

Personalized mid-course FDG-PET based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization.

Ali Ajdari, Zhongxing Liao, Radhe Mohan, Xiong Wei, Thomas Bortfeld

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 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
1.4field-weighted citation impact, top 18% 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, 10 citations in OpenAlex.

  1. Review
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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 at 2 institutions in 1 country.

Ali AjdariMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation BioPhysics, Boston, MA, United States of America.ORCID 0000-0003-1700-7519
Zhongxing LiaoUniversity of Texas' MD Anderson Cancer Center, Department of Radiation Oncology, Division of Radiation Oncology, Houston, TX, United States of America.
Radhe MohanUniversity of Texas' MD Anderson Cancer Center, Department of Radiation Physics, Division of Radiation Oncology, Houston, TX, United States of America.ORCID 0000-0003-3746-4557
Xiong WeiUniversity of Texas' MD Anderson Cancer Center, Department of Radiation Oncology, Division of Radiation Oncology, Houston, TX, United States of America.
Thomas BortfeldMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation BioPhysics, Boston, MA, United States of America.
The University of Texas MD Anderson Cancer Center · USMassachusetts General Hospital · US

Funding

Risk prediction and longitudinal assessment of cardiotoxicity and functional capacity trajectory in NSCLC patientsR01HL157273 · NHLBI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIAO, ZHONGXING · 2021 to 2025
$3.8M
Automated interactive definition of the clinical target volume in radiation oncologyR01CA266275 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI THOMAS R. BORTFELD · 2022 to 2026
$1.6M
PROTON THERAPY RESEARCH AND TREATMENT CENTERC06CA059267 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GOITEIN, MICHAEL · 1992 to 1995
–
NCI NIH HHS C06 CA059267NCI NIH HHS R01 CA266275NHLBI NIH HHS R01 HL157273
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRadiation PneumonitisBayes TheoremFluorodeoxyglucose F18HumansMachine LearningRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective StudiesFluorodeoxyglucose F18adaptive RTBayesian networksFDG-PETNTCPpersonalized radiotherapyradiation pneumonitisrisk prediction

Identifiers

PMID35947984
PMCPMC9579961
OpenAlexW4291020353

What OpenQuestion holds

Textmetadata
LicenceTDM
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.