Evidence map›Paper›PMID 36394503›Full record

ArticleRambam Maimonides medical journal2022

Multimodal Imaging in Rhinoorbitocerebral Mucormycosis Associated with Type 2 Diabetes After COVID-19.

Pavel Mikhailovich Zelter, Olesya Vladimirovna Zeleva, Egor Andreevich Sidorov, Dmitriy Vyacheslavovich Solovov, Evgeniy Nikolaevich Surovtsev

Open access · diamondAbstract read
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Article in Rambam Maimonides medical journal, 2022. 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
0.1field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Pavel Mikhailovich ZelterRadiology Department, Clinic of Samara State Medical University, Samara, Russia.
Olesya Vladimirovna ZelevaOtorhinolaryngology Department, Clinic of Samara State Medical University, Samara, Russia.
Egor Andreevich SidorovRadiology Department, Clinic of Samara State Medical University, Samara, Russia.
Dmitriy Vyacheslavovich SolovovRadiology Department, Clinic of Samara State Medical University, Samara, Russia.
Evgeniy Nikolaevich SurovtsevDepartment of Radiology, Samara State Medical University, Samara, Russia.
Samara State Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis case series analyzed the appropriateness of computed tomography (CT) and magnetic resonance imaging (MRI) for visualization of rhinoorbitocerebral mucormycosis (ROCM) patterns associated with type 2 diabetes (T2D) post-recovery from coronavirus disease 2019 (COVID-19).

methodsThe study included 24 patients with invasive ROCM after having recovered from COVID-19. All patients underwent CT examinations and microbiological and histological verification; 5 patients underwent MRI.

resultsThe CT and MRI patterns noted in our patients revealed involvement of skull orbits, paranasal sinuses, large arteries, and optic nerves, with intracranial spread and involvement of the cranial base bones. Using brain scan protocol for CT provided better soft-tissue resolution. We found that extending the MRI protocol by T2-sequence with fat suppression or STIR was better for periantral fat and muscle evaluations.

conclusionComputed tomography of the paranasal sinuses is the method of choice for suspected fungal infections, particularly mucormycosis. However, MRI is recommended if there is suspicion of orbital, vascular, or intracranial complications, including cavernous sinus extension. The combination of both CT and MRI enables determination of soft tissue invasion and bony destruction, thereby facilitating the choice of an optimal ROCM treatment strategy. Invasive fungal infections are extremely rare in Europe; most of the related data are provided from India and Middle Eastern or African nations. Hence, this study is notable in its use of only diagnosed ROCM cases in Russia.

Identifiers

PMID36394503
PMCPMC9622394
OpenAlexW4307356470

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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.