121 related articles for article (PubMed ID: 34864427)
1. Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.
Zhou S; Yao H; Ma C; Chen X; Wang W; Ji H; He L; Luo M; Guo Y
Eur J Radiol; 2022 Jan; 146():110071. PubMed ID: 34864427
[TBL] [Abstract][Full Text] [Related]
2. Performance evaluation of a deep learning-based cascaded HRNet model for automatic measurement of X-ray imaging parameters of lumbar sagittal curvature.
Wu Y; Chen X; Dong F; He L; Cheng G; Zheng Y; Ma C; Yao H; Zhou S
Eur Spine J; 2023 Oct; ():. PubMed ID: 37787781
[TBL] [Abstract][Full Text] [Related]
3. Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm.
Yang W; Ye Q; Ming S; Hu X; Jiang Z; Shen Q; He L; Gong X
Eur J Radiol; 2020 Nov; 132():109303. PubMed ID: 33017773
[TBL] [Abstract][Full Text] [Related]
4. The biomechanics of the lumbosacral region in acute and chronic low back pain patients.
Nakipoğlu GF; Karagöz A; Ozgirgin N
Pain Physician; 2008; 11(4):505-11. PubMed ID: 18690279
[TBL] [Abstract][Full Text] [Related]
5. [Development and validation of an automatic diagnostic tool for lumbar stability based on deep learning].
Hu H; Wang X; Yang H; Zhang J; Li K; Zeng J
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2023 Jan; 37(1):81-90. PubMed ID: 36708120
[TBL] [Abstract][Full Text] [Related]
6. Sagittal intervertebral rotational motion: a deep learning-based measurement on flexion-neutral-extension cervical lateral radiographs.
Yan Y; Zhang X; Meng Y; Shen Q; He L; Cheng G; Gong X
BMC Musculoskelet Disord; 2022 Nov; 23(1):967. PubMed ID: 36348426
[TBL] [Abstract][Full Text] [Related]
7. Lumbar lordosis and sacral slope in lumbar spinal stenosis: standard values and measurement accuracy.
Bredow J; Oppermann J; Scheyerer MJ; Gundlfinger K; Neiss WF; Budde S; Floerkemeier T; Eysel P; Beyer F
Arch Orthop Trauma Surg; 2015 May; 135(5):607-12. PubMed ID: 25750110
[TBL] [Abstract][Full Text] [Related]
8. Comparison and correlation of pelvic parameters between low-grade and high-grade spondylolisthesis.
Min WK; Lee CH
J Spinal Disord Tech; 2014 May; 27(3):162-5. PubMed ID: 24945293
[TBL] [Abstract][Full Text] [Related]
9. [Consistency comparison of the parameters of the lumbar spine-pelvic sagittal plane between the whole-spine EOS images system and traditional X-ray].
Wei F; Wu JY; Sun YQ; Li JN; Fang MX; Zhang N
Zhongguo Gu Shang; 2021 Jul; 34(11):1082-6. PubMed ID: 34812029
[TBL] [Abstract][Full Text] [Related]
10. Measuring the sacral inclination angle in clinical practice: is there an alternative to radiographs?
Bierma-Zeinstra SM; van Gool JJ; Bernsen RM; Njoo KH
J Manipulative Physiol Ther; 2001 Oct; 24(8):505-8. PubMed ID: 11677549
[TBL] [Abstract][Full Text] [Related]
11. Accuracy and Reliability of Standing Lateral Lumbar Radiographs for Measurements of Spinopelvic Parameters.
Wu J; Wei F; Ma L; Li J; Zhang N; Tian W; Sun Y
Spine (Phila Pa 1976); 2021 Aug; 46(15):1033-1038. PubMed ID: 34228695
[TBL] [Abstract][Full Text] [Related]
12. Lumbar spine and pelvic posture between standing and sitting: a radiologic investigation including reliability and repeatability of the lumbar lordosis measure.
De Carvalho DE; Soave D; Ross K; Callaghan JP
J Manipulative Physiol Ther; 2010 Jan; 33(1):48-55. PubMed ID: 20114100
[TBL] [Abstract][Full Text] [Related]
13. Development of automatic measurement for patellar height based on deep learning and knee radiographs.
Ye Q; Shen Q; Yang W; Huang S; Jiang Z; He L; Gong X
Eur Radiol; 2020 Sep; 30(9):4974-4984. PubMed ID: 32328760
[TBL] [Abstract][Full Text] [Related]
14. A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation.
Korez R; Putzier M; Vrtovec T
Eur Spine J; 2020 Sep; 29(9):2295-2305. PubMed ID: 32279117
[TBL] [Abstract][Full Text] [Related]
15. Comparative study of lumbosacral alignment in elderly versus young adults: data on patients with low back pain.
Coskun Benlidayi I; Basaran S
Aging Clin Exp Res; 2015 Jun; 27(3):297-302. PubMed ID: 25286900
[TBL] [Abstract][Full Text] [Related]
16. Measurement of Spinopelvic Parameters on Standing Lateral Lumbar Radiographs: Validity and Reliability.
Chung NS; Jeon CH; Lee HD; Won SH
Clin Spine Surg; 2017 Mar; 30(2):E119-E123. PubMed ID: 27764059
[TBL] [Abstract][Full Text] [Related]
17. Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.
Wang C; Ni M; Tian S; Ouyang H; Liu X; Fan L; Dong P; Jiang L; Lang N; Yuan H
BMC Med Imaging; 2023 Nov; 23(1):196. PubMed ID: 38017414
[TBL] [Abstract][Full Text] [Related]
18. Radiographic analysis of the lumbar and sacral region angles in young Turkish adults.
Demir M; Gumusburun E; Seringec N; Cicek M; Ertugrul R; Guneri B
J Pak Med Assoc; 2018 Aug; 68(8):1212-1216. PubMed ID: 30108388
[TBL] [Abstract][Full Text] [Related]
19. Interpretation of Spinal Radiographic Parameters in Patients With Transitional Lumbosacral Vertebrae.
Zhou PL; Moon JY; Tishelman JC; Errico TJ; Protopsaltis TS; Passias PG; Buckland AJ
Spine Deform; 2018; 6(5):587-592. PubMed ID: 30122395
[TBL] [Abstract][Full Text] [Related]
20. Comparison of Lumbar Lordosis in Lateral Radiographs in Standing Position with supine MR Imaging in consideration of the Sacral Slope.
Benditz A; Boluki D; Weber M; Zeman F; Grifka J; Völlner F
Rofo; 2017 Mar; 189(3):233-239. PubMed ID: 28002853
[No Abstract] [Full Text] [Related]
[Next] [New Search]