Evidence map›Paper›PMID 32353390›Full record

ArticleInternational journal of radiation oncology, biology, physics2020

Dosimetric Analysis and Normal-Tissue Complication Probability Modeling of Child-Pugh Score and Albumin-Bilirubin Grade Increase After Hepatic Irradiation.

Jennifer Pursley, Issam El Naqa, Nina N Sanford, Bridget Noe, Jennifer Y Wo, Christine E Eyler, Matthew Hwang, Kristy K Brock, Beow Y Yeap, John A Wolfgang and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  10. Do We Have a Winner? Advocating for SBRT in HCC Management.Clinical and translational radiation oncology · 2024
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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

12 authors at 4 institutions in 1 country.

Jennifer PursleyDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Issam El NaqaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Nina N SanfordDepartment of Radiation Oncology, University of Texas Southwestern, Dallas, Texas.
Bridget NoeDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Jennifer Y WoDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Christine E EylerDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Matthew HwangDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Kristy K BrockDepartment of Imaging Physics, The University of Texas, MD Anderson Cancer Center, Houston, Texas.
Beow Y YeapDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
John A WolfgangDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Theodore S HongDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Clemens GrassbergerDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: Grassberger.Clemens@mgh.harvard.edu.
Massachusetts General Hospital · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Statistics, Data Exchange, Management and SupportP01CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KOOY, HANNE M · 1985 to 2013
$28.3M
MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SHIH, HELEN A · 2014 to 2018
$11.2M
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapyR37CA222215 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EL NAQA, ISSAM M. · 2018 to 2024
$3.5M
Optimal Decision Making in Radiotherapy Using Panomics AnalyticsR01CA233487 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EL NAQA, ISSAM M. · 2019 to 2023
$2.4M
Optimization and Evaluation of Anatomical Models of Liver Radiation ResponseR01CA221971 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROCK, KRISTY · 2018 to 2022
$1.8M
Bio-Physical Modeling of Immuno-Radiotherapy Combinations based on Patient DataR21CA241918 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GRASSBERGER, CLEMENS · 2019 to 2020
$399k
PROTON THERAPY RESEARCH AND TREATMENT CENTERC06CA059267 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GOITEIN, MICHAEL · 1992 to 1995
–
NCI NIH HHS C06 CA059267NCI NIH HHS P01 CA021239NCI NIH HHS R01 CA221971NCI NIH HHS R01 CA233487NCI NIH HHS R21 CA241918NCI NIH HHS R37 CA222215NCI NIH HHS U19 CA021239
6 · The paper itself

Abstract

purposeThis study aimed to develop robust normal-tissue complication probability (NTCP) models for patients with hepatocellular carcinoma treated with radiation therapy (RT) using Child-Pugh (CP) score and albumin-bilirubin (ALBI) grade increase as endpoints for hepatic toxicity. METHODS AND MATERIALS: Data from 108 patients with hepatocellular carcinoma treated with RT between 2008 and 2017 were evaluated, of which 47 patients (44%) were treated with proton RT. Of these patients, 29 received stereotactic body RT and 79 moderately hypofractionated RT to median physical tumor doses of 43 Gy in 5 fractions and 59 Gy in 15 fractions, respectively. A generalized Lyman-Kutcher-Berman (LKB) model was used to model the NTCP using 2 clinical endpoints, both evaluated at 3 months after RT: CP score increase of ≥2 and ALBI grade increase of ≥1 from the pre-RT baseline. Confidence intervals on LKB fit parameters were determined using bootstrap resampling.

resultsCompared with previous NTCP models, this study found a stronger correlation between normal liver volume receiving low doses of radiation (5-10 Gy) and a CP score or ALBI grade increase. A CP score increase exhibited a stronger correlation to normal liver volumes irradiated than an ALBI grade increase. LKB models for CP increase found values for the volume-effect parameter of a = 0.06 for all patients, and a = 0.02/0.09 when fit to photon/proton patients separately. Subset analyses for patients with superior initial liver functions showed consistent dose-volume effects (a = 0.1) and consistent dose-response relationships.

conclusionsThis study presents an update of liver NTCP models in the era of modern RT techniques using relevant endpoints of hepatic toxicity, CP score and ALBI grade increase. The results show a stronger influence of low-dose bath on hepatic toxicity than those found in previous studies, indicating that RT techniques that minimize the low-dose bath may be beneficial for patients.

Indexed as

Models, StatisticalAdultAgedAged, 80 and overBilirubinCarcinoma, HepatocellularFemaleHumansLiverLiver NeoplasmsMaleMiddle AgedPrognosisRadiometryRetrospective StudiesSerum AlbuminBilirubinSerum Albumin

Identifiers

PMID32353390
PMCPMC7381375
OpenAlexW3019096943

What OpenQuestion holds

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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.