KO'SHIMCHA DIAGNOSTIK KO'RSATKICHLAR ORQALI SON CHANOQ BO'G'IMI DISPLAZIYASINI ANIQLASH SAMARADORLIGINI BAHOLASH: SQK VA TNKNING GRAF USULI BILAN SOLISHTIRISHI
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Tadqiqotning maqsadi. Suyak qoplama koeffitsiyenti (SQK) va tomonlar nisbati koeffitsiyenti (TNK) ning diagnostik samaradorligini Graf usuli bilan solishtirish.
Materiallar va usullar: 120 nafar son chanoq bo‘g‘imi displaziyasi tashxisi qo‘yilgan va 30 nafar sog‘lom bola nazorat guruhi sifatida tekshirildi. Ultratovush tekshiruvi R. Graf usuli asosida "Toshiba XARIO-200" (Yaponiya) apparatida 5-7 MGts chastotali chiziqli sensor yordamida o‘tkazildi.
Tadqiqot natijalari. Tadqiqot davomida aniqlangan asosiy xavf omillari quyidagilar bo‘ldi: 35% bolalarda tos yoki oyoq oldi kelishi, 44% hollarda ayol jinsi va 21% hollarda bolani juda qattiq o‘rash. Ushbu ko‘rsatkichlar xavf omillarining yuqori tarqalganligini tasdiqlaydi va ularni diagnostik jarayonda inobatga olish zarurligini ko‘rsatadi.
Olingan natijalar shuni ko‘rsatdiki, suyak qoplama koeffitsiyenti (SQK) yuqori diagnostik qiymatga ega bo‘lib, uning ROC AUC qiymati 0.94 ga teng bo‘ldi. Bu esa usulning normativ va patologik holatlarni farqlash qobiliyatining yuqori ekanligini ko‘rsatadi. SQK sezgirligi 88.9% ni tashkil etdi, bu esa usulning displaziyani aniqlashda yuqori samaradorlikka egaligini ko‘rsatadi. Spetsifiklik darajasi esa 97.4% bo‘lib, bu noto‘g‘ri ijobiy natijalarning juda past ekanligini bildiradi.
Tomonlar nisbati koeffitsiyenti (TNK) esa nisbatan pastroq ko‘rsatkichlarni qayd etdi. Uning ROC AUC qiymati 0.72 ga teng bo‘lib, sezgirlik 80.7%, spesifiklik esa 54.4% ni tashkil etdi. Bu esa TNK ning SQK ga qaraganda kamroq aniq diagnostik mezon ekanligini ko‘rsatadi.
Bundan tashqari, o'tkazilgan korrelyatsiya tahlili SQK va α burchagi o'rtasida kuchli ijobiy bog‘liqlikni ko‘rsatdi (r = 0.798, p < 0.001). Bu esa SQK ning ishonchli diagnostik parametr ekanligini tasdiqlaydi.
Xulosa. Son chanoq bo‘g‘imlarining sifat va miqdoriy parametrlarini ultratovush orqali baholash displaziyaning turli bosqichlarini farqlash imkonini beradi. SQK yuqori diagnostik qiymatga ega bo‘lib, α burchagi bilan kuchli bog‘liqlikni namoyon qiladi. Diagnostika aniqligini oshirish uchun SQK ni standart diagnostik algoritmlarga kiritish maqsadga muvofiqdir.
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