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001-es BibID:	BIBFORM124078
035-os BibID:	(scopus)85203631691 (WoS)001312824900001
Első szerző:	Barna Sándor (kutató orvos)
Cím:	[131I]6β-Iodomethyl-19-norcholesterol SPECT/CT for the Lateralization of Mineralocorticoid Overproduction in Primary Aldosteronism / Barna Sandor, Sira Livia, Bhattoa Harjit Pal, Toth Laszlo, Czine Zsigmond, Szoboszlay Lilla, Nagy Edit B., Kepes Zita, Garai Ildiko, Bodor Miklos, Varga Jozsef, Nagy Endre V.
Dátum:	2024
ISSN:	2075-4418
Megjegyzések:	Primary: aldosteronism is a frequent cause of secondary hypertension. With access to specialized care, an increasing number of patients with aldosteronism are being identified. Primary aldoste-ronism is treatable by adrenal surgery if aldosterone excess originates from one of the two, and not from both, adrenals. Bilateral hyperplasia requires lifelong mineralocorticoid receptor antago-nist treatment. Up till now, adrenal venous sampling (AVS) has been widely used to distinguish between one-sided and two-sided aldosterone overproduction and patient selection for surgery. AVS is an invasive technique, and the unsuccessful sampling of the right adrenal vein during AVS often prevents side comparison, making the AVS procedure useless. Molecular imaging using [131I]6?-iodomethyl-19-norcholesterol with SPECT CT imaging (SPECT/CT) may be a potential al-ternative. Methods: In 42 consecutive patients with confirmed primary aldosteronism, molecular imaging has been performed. After dexamethasone suppression of the non-affected adrenal tis-sue, 37 MBq [131I]6?-iodomethyl-19-norcholesterol was injected i.v., and SPECT/CT images were taken 7 days later. Based on the visual evaluation of the images by two nuclear medicine special-ists, patients with one-sided tracer accumulation underwent adrenalectomy. To identify a SPECT/CT parameter that best characterizes the side difference, the maximum counts and the mean counts of spherical VOIs were analyzed. Results: Of the 42 patients, 24 had one-sided aldos-terone overproduction by SPECT/CT. After surgical removal of the involved adrenal, all 24 pa-tients with SPECT/CT-identified unilateral aldosteronism achieved biochemical cure, defined as a normalized potassium level combined with an aldosterone-to-renin ratio ? 30. To identify the best measurable parameter of SPECT/CT side difference, the mean counts and maximum counts of a series of spherical VOIs of different diameters were analyzed. The ratio of the mean counts of 3 cm spherical VOIs of the right and left adrenal regions (lateralization index) was the best discrimi-nator; a ratio of ?1.29 was characteristic of one-sided disease, without overlap between the one-sided and two-sided patient groups. Conclusions: [131I]6?-iodomethyl-19-norcholesterol SPECT/CT with a count-based image interpretation and side-ratio calculation may be an equipol-lent non-invasive substitute for adrenal venous sampling in the lateralization of mineralocorticoid overproduction. It reliably identifies unilateral disease and facilitates patients' selection for surgical intervention. If confirmed by others, this functional imaging may replace AVS when lateralization is required for management decisions in primary aldosteronism
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk hypertension primary aldosteronism [131I]6?-iodomethyl-19-norcholesterol SPECT/CT
Megjelenés:	Diagnostics. - 14 : 17 (2024), p. 1-10.-
További szerzők:	Sira Lívia (1973-) (endokrinológus) Bhattoa Harjit Pal (1973-) (laboratóriumi szakorvos) Tóth László (1971-) (patológus) Czine Zsigmond Szoboszlay Lilla Nagy Edit B. Képes Zita (1991-) (orvos) Garai Ildikó (1966-) (radiológus) Bodor Miklós (1969-) (belgyógyász, endokrinológus) Varga József (1955-) (fizikus) Nagy Endre V. (1957-) (belgyógyász, endokrinológus)
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001-es BibID:	BIBFORM126339
035-os BibID:	(scopus)85211822029 (wos)001377328800001
Első szerző:	Csikos Csaba (orvos)
Cím:	AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images / Csikos Csaba, Barna Sándor, Kovács Ákos, Czina Péter, Budai Ádám, Szoliková Melinda, Nagy Iván Gábor, Husztik Borbála, Kiszler Gábor, Garai Ildikó
Dátum:	2024
ISSN:	2075-4418
Megjegyzések:	Background/Objectives: Artificial intelligence (AI) is a promising tool for the enhancement of physician workflow and serves to further improve the efficiency of their diagnostic evaluations. This study aimed to assess the performance of an AI-based bone scan noise-reduction filter on noisy, low-count images in a routine clinical environment. Methods: The performance of the AI bone-scan filter (BS-AI filter) in question was retrospectively evaluated on 47 different patients' 99mTc-MDP bone scintigraphy image pairs (anterior- and posterior-view images), which were obtained in such a manner as to represent the diverse characteristics of the general patient population. The BS-AI filter was tested on artificially degraded noisy images?75, 50, and 25% of total counts?which were generated by binominal sampling. The AI-filtered and unfiltered images were concurrently appraised for image quality and contrast by three nuclear medicine physicians. It was also determined whether there was any difference between the lesions seen on the unfiltered and filtered images. For quantitative analysis, an automatic lesion detector (BS-AI annotator) was utilized as a segmentation algorithm. The total number of lesions and their locations as detected by the BS-AI annotator in the BS-AI-filtered low-count images was compared to the total-count filtered images. The total number of pixels labeled as lesions in the filtered low-count images in relation to the number of pixels in the total-count filtered images was also compared to ensure the filtering process did not change lesion sizes significantly. The comparison of pixel numbers was performed using the reduced-count filtered images that contained only those lesions that were detected in the total-count images. Results: Based on visual assessment, observers agreed that image contrast and quality were better in the BS-AI-filtered images, increasing their diagnostic confidence. Similarities in lesion numbers and sites detected by the BS-AI annotator compared to filtered total-count images were 89%, 83%, and 75% for images degraded to counts of 75%, 50%, and 25%, respectively. No significant difference was found in the number of annotated pixels between filtered images with different counts (p > 0.05). Conclusions: Our findings indicate that the BS-AI noise-reduction filter enhances image quality and contrast without loss of vital information. The implementation of this filter in routine diagnostic procedures reliably improves diagnostic confidence in low-count images and elicits a reduction in the administered dose or acquisition time by a minimum of 50% relative to the original dose or acquisition time.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk bone scan nuclear medicine imaging noise reduction filter artificial intelligence
Megjelenés:	Diagnostics. - 14 : 23 (2024), p. 1-11. -
További szerzők:	Barna Sándor (1982-) (kutató orvos) Kovács Ákos Czina Péter Budai Ádám Szolikova, Melinda Nagy Iván Gábor Husztik Borbála Kiszler Gábor Garai Ildikó (1966-) (radiológus)
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