Evidence map›Paper›PMID 36626520›Full record

ArticleMedicine2022

Predicting subacute hematological toxicity of 177Lu-DOTATATE therapy using healthy organs' uptake on post-treatment quantitative SPECT: A pilot study.

David Morland, Elizabeth Katherine Anna Triumbari, Christopher Hoog, Ghali Sézin, Sébastien Dejust, Guillaume Cadiot, Pierre Paris, Dimitri Papathanassiou

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 360° CZT-SPECT/CT cameras:EJNMMI physics · 2024
    Article
  3. 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

8 authors at 2 institutions in 3 countries.

David MorlandService de Médecine Nucléaire, Institut Godinot, Reims, France.ORCID 0000-0001-8738-4841
Elizabeth Katherine Anna TriumbariUnità di Medicina Nucleare, TracerGLab, Dipartimento di Radiologia, Radioterapia ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Roma, Italia.
Christopher HoogService de Radiophysique et Radioprotection, Institut Godinot, Reims, France.
Ghali SézinService de Médecine Nucléaire, Institut Godinot, Reims, France.
Sébastien DejustService de Médecine Nucléaire, Institut Godinot, Reims, France.
Guillaume CadiotHépatogastroentérologie, Université de Reims Champagne-Ardenne and Hôpital Robert Debré, CHU de Reims, Reims, France.
Pierre ParisRadiopharmacie, Institut Godinot, Reims, France.
Dimitri PapathanassiouService de Médecine Nucléaire, Institut Godinot, Reims, France.
Weatherford College · USCentre de Recherche en Sciences et Technologies de l'Information et de la Communication · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim is to investigate the usefulness of 177Lu-DOTA-0-Tyr3-Octreotate (DOTATATE) healthy organs' (spleen, kidneys, bone marrow) standard uptake value for the prediction of subacute hematological toxicity in patients undergoing 177Lu-DOTATATE treatment. All patients referred from January 2021 to May 2022 for 177Lu-DOTATATE treatment were retrospectively screened. For each treatment session, baseline clinical data including age, sex, weight, delay between 177Lu-DOTATATE treatment and last cold somatostatin analogue intake were collected. Mean standardized uptake value (SUVmean) of healthy organs was measured and analyzed by generalized linear mixed effect models. Outcomes (significant decrease of platelets, hemoglobin levels and neutrophils) were assessed 1 month later, considering their within-subject biological coefficient of variation, published by the European Federation of Clinical Chemistry and Laboratory Medicine. A total of 9 patients (33 treatment sessions) were included. No predictive factors were identified for platelet and neutrophil decrease. Splenic SUVmean was found to be a significant predictor of hemoglobin levels decrease. Using an optimal threshold of ≥6.22, derived sensitivity and specificity to predict hemoglobin decrease were 85.7% [46.4; 99.0] and 76.9% [57.5; 89.2] respectively with an accuracy of 82.4%. Although not significantly predictive of hematological toxicity, bone marrow SUVmean and renal SUVmean were correlated with splenic SUVmean. Quantitative single photon emission computed tomography and healthy organs analysis might help to foresee hematological subacute toxicity in patients undergoing 177Lu-DOTATATE treatment and improve patient management.

Indexed as

Neuroendocrine TumorsOrganometallic CompoundsHumansOctreotidePilot ProjectsRetrospective StudiesTomography, Emission-Computed, Single-Photonlutetium Lu 177 dotatateOctreotideOrganometallic Compounds

Identifiers

PMID36626520
PMCPMC9750522
OpenAlexW4315436437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.