[99mTc]Tc-Sestamibi/[99mTc]NaTcO4 Subtraction SPECT of Parathyroid Glands Using Analysis of Principal Components

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F25%3A10503275" target="_blank" >RIV/00064165:_____/25:10503275 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/25:10503275 RIV/00064203:_____/25:10503275

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vSJFokzLxB" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vSJFokzLxB</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2967/jnmt.125.270082" target="_blank" >10.2967/jnmt.125.270082</a>

Jazyk výsledku

angličtina

Název v původním jazyce

[99mTc]Tc-Sestamibi/[99mTc]NaTcO4 Subtraction SPECT of Parathyroid Glands Using Analysis of Principal Components

Popis výsledku v původním jazyce

The aim of the study was to validate a new method for semiautomatic subtraction of [(99m)Tc]Tc-sestamibi and [(99m)Tc]NaTcO(4) SPECT 3-dimensional datasets using principal component analysis (PCA) against the results of parathyroid surgery and to compare its performance with an interactive method for visual comparison of images. We also sought to identify factors that affect the accuracy of lesion detection using the two methods. Methods: Scintigraphic data from [(99m)Tc]Tc-sestamibi and [(99m)Tc]NaTcO(4) SPECT were analyzed using semiautomatic subtraction of the 2 registered datasets based on PCA applied to the region of interest including the thyroid and an interactive method for visual comparison of the 2 image datasets. The findings of both methods were compared with those of surgery. Agreement with surgery was assessed with respect to the lesion quadrant, affected side of the neck, and the patient positivity regardless of location. Results: The results of parathyroid surgery and histology were available for 52 patients who underwent [(99m)Tc]Tc-sestamibi/[(99m)Tc]NaTcO(4) SPECT. Semiautomatic image subtraction identified the correct lesion quadrant in 46 patients (88%), the correct side of the neck in 51 patients (98%), and true pathologic lesions regardless of location in 51 patients (98%). Visual interactive analysis identified the correct lesion quadrant in 44 patients (85%), correct side of the neck in 49 patients (94%), and true pathologic lesions regardless of location in 50 patients (96%). There was no significant difference between the results of the 2 methods (P &gt; 0.05). The factors supporting lesion detection were accurate positioning of the patient on the camera table, which facilitated subsequent image registration of the neck, and, after excluding ectopic parathyroid glands, focusing detection on the thyroid ROI. Conclusion: The results of semiautomatic subtraction of [(99m)Tc]Tc-sestamibi/[(99m)Tc]NaTcO(4) SPECT using PCA had good agreement with the findings from surgery as well as the visual interactive method, comparable to the high diagnostic accuracy of [(99m)Tc]Tc-sestamibi/[(123)I]NaI subtraction scintigraphy and [(18)F]fluorocholine PET/CT reported in the literature. The main advantages of semiautomatic subtraction are minimum user interaction and automatic adjustment of the subtraction weight. Principal component images may serve as optimized input objects, potentially useful in machine-learning algorithms aimed at fully automated detection of hyperfunctioning parathyroid glands.

Název v anglickém jazyce

[99mTc]Tc-Sestamibi/[99mTc]NaTcO4 Subtraction SPECT of Parathyroid Glands Using Analysis of Principal Components

Popis výsledku anglicky

The aim of the study was to validate a new method for semiautomatic subtraction of [(99m)Tc]Tc-sestamibi and [(99m)Tc]NaTcO(4) SPECT 3-dimensional datasets using principal component analysis (PCA) against the results of parathyroid surgery and to compare its performance with an interactive method for visual comparison of images. We also sought to identify factors that affect the accuracy of lesion detection using the two methods. Methods: Scintigraphic data from [(99m)Tc]Tc-sestamibi and [(99m)Tc]NaTcO(4) SPECT were analyzed using semiautomatic subtraction of the 2 registered datasets based on PCA applied to the region of interest including the thyroid and an interactive method for visual comparison of the 2 image datasets. The findings of both methods were compared with those of surgery. Agreement with surgery was assessed with respect to the lesion quadrant, affected side of the neck, and the patient positivity regardless of location. Results: The results of parathyroid surgery and histology were available for 52 patients who underwent [(99m)Tc]Tc-sestamibi/[(99m)Tc]NaTcO(4) SPECT. Semiautomatic image subtraction identified the correct lesion quadrant in 46 patients (88%), the correct side of the neck in 51 patients (98%), and true pathologic lesions regardless of location in 51 patients (98%). Visual interactive analysis identified the correct lesion quadrant in 44 patients (85%), correct side of the neck in 49 patients (94%), and true pathologic lesions regardless of location in 50 patients (96%). There was no significant difference between the results of the 2 methods (P &gt; 0.05). The factors supporting lesion detection were accurate positioning of the patient on the camera table, which facilitated subsequent image registration of the neck, and, after excluding ectopic parathyroid glands, focusing detection on the thyroid ROI. Conclusion: The results of semiautomatic subtraction of [(99m)Tc]Tc-sestamibi/[(99m)Tc]NaTcO(4) SPECT using PCA had good agreement with the findings from surgery as well as the visual interactive method, comparable to the high diagnostic accuracy of [(99m)Tc]Tc-sestamibi/[(123)I]NaI subtraction scintigraphy and [(18)F]fluorocholine PET/CT reported in the literature. The main advantages of semiautomatic subtraction are minimum user interaction and automatic adjustment of the subtraction weight. Principal component images may serve as optimized input objects, potentially useful in machine-learning algorithms aimed at fully automated detection of hyperfunctioning parathyroid glands.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30202 - Endocrinology and metabolism (including diabetes, hormones)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Nuclear Medicine Technology

ISSN

0091-4916

e-ISSN

1535-5675

Svazek periodika

53

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

318-324

Kód UT WoS článku

001644647800011

EID výsledku v databázi Scopus

2-s2.0-105023850767