Evidence map›Paper›PMID 35548900›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2022

Can pretreatment hepatic artery perfusion scintigraphy in patients with liver malignancies predict the treatment response of the selective internal radiation therapy with 90Y resin microspheres?

Isa Burak Guney, Huseyin Tugsan Balli, Kadir Alper Kucuker, Ilker Unal, Mustafa Kibar

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Article in Diagnostic and interventional radiology (Ankara, Turkey), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Isa Burak GuneyDepartment of Nuclear Medicine, Faculty of Medicine, Cukurova University, Adana, Turkey.
Huseyin Tugsan BalliDepartment of Radiology, Faculty of Medicine, Cukurova University, Adana, Turkey.
Kadir Alper KucukerDepartment of Nuclear Medicine, Faculty of Medicine, Cukurova University, Adana, Turkey.
Ilker UnalDepartment of Biostatistics, Faculty of Medicine, Cukurova University, Adana, Turkey.
Mustafa KibarDepartment of Nuclear Medicine, Faculty of Medicine, Cukurova University, Adana, Turkey.
Cukurova University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE We aimed to evaluate whether the perfusion pattern from pretreatment hepatic artery perfusion scintigraphy (HAPS) in patients with liver malignancies can predict response to selective internal radiation therapy (SIRT). METHODS This retrospective study analyzed 152 consecutive patients treated with yttrium-90 (90Y) resin microspheres between April 2015 and July 2017. HAPS using single-photon emission computed tomography/computed tomography (SPECT/CT) with 99mtechnetium macroaggregated albumin (99mTc-MAA) was performed before SIRT. Investigators visually classified perfusion patterns of tumors as heterogeneous or diffuse in HAPS. Between diffuse and heterogeneous pattern group, positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) were performed in third and sixth month after SIRT, and tumor response assessed and compared by using RECIST 1.1 or mRECIST. Overall survival (OS) and progression-free survival (PFS) were also compared with Kaplan-Meier/log-rank analyses. RESULTS Of 216 SIRT procedures, 172 were classified as heterogeneous and 44 as diffuse. Diffuse 99mTc- MAA uptake was associated with longer median OS than heterogeneous (22.2 vs. 14.4 months, respectively; P = .047). Subsegmental infusion was associated with longer OS than either lobar or segmental infusion (P = .090). Mean estimated OS was longer in patients with hepatocellular carcinoma (HCC) (34.2 months) than with colorectal carcinoma (CRC) (16.4 months) (P = .044). Patients with both diffuse and heterogeneous patterns were able to show complete response after SIRT. No statistically significant differences were observed between perfusion patterns and PFS or response rates to SIRT. CONCLUSION Although tumor perfusion patterns from preplanning HAPS analyses are useful for estimating tumor uptake of 90Y, they may not reliably predict hepatic treatment response, as patients with different perfusion patterns can show clinical response to SIRT.

Indexed as

Carcinoma, HepatocellularEmbolization, TherapeuticLiver NeoplasmsHepatic ArteryHumansMicrospheresPerfusion ImagingPositron Emission Tomography Computed TomographyRetrospective StudiesTechnetium Tc 99m Aggregated AlbuminTomography, Emission-Computed, Single-PhotonYttrium RadioisotopesTechnetium Tc 99m Aggregated AlbuminYttrium-90Yttrium Radioisotopes

Identifiers

PMID35548900
PMCPMC12278937
OpenAlexW4213358221

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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.