A novel radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using different flip-angle evolutions (SPACE) images for predicting cochlear and vestibular endolymphatic hydrops in Meniere's disease patients.

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  • Additional Information
    • Source:
      Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
    • Publication Information:
      Original Publication: Berlin : Springer International, c1991-
    • Subject Terms:
    • Abstract:
      Objectives: To construct and validate a radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using different flip-angle evolutions (SPACE) images for predicting cochlear and vestibular endolymphatic hydrops (EH) in Meniere's disease patients.
      Methods: A total of 156 patients (312 affected ears) with bilateral definite Meniere's disease who underwent delayed enhancement MRI scans were enrolled in this study. All ears of the patients were divided into a training set (n = 218) and an internal validation set (n = 94). A radiomics nomogram was constructed from radiomics features extracted from the T2-SPACE images, and a radiomics score was calculated. Performance of the radiomics nomogram was assessed using receiver operating characteristics analysis.
      Results: Five features were selected for the construction of the cochlear radiomics nomogram, and seven features for the vestibular radiomics nomogram. The radiomics nomograms exhibited robust performance in differentiating between EH-positive and EH-negative statuses in both training and validation cohorts, with the area under the receiver operating characteristics curve values for cochlear and vestibular radiomic nomograms being 0.703 and 0.728 in the training set, and 0.718 and 0.701 in the validation set, respectively.
      Conclusion: The novel radiomics nomograms based on T2-SPACE images were successfully constructed to predict cochlear and vestibular EH in Meniere's disease. The models showed a solid and superior performance and may play an important role in the EH prediction.
      Clinical Relevance Statement: We constructed a novel radiomics nomogram, which can be a very useful tool for predicting cochlear and vestibular endolymphatic hydrops in Meniere's disease patients.
      Key Points: • This is the first T2-SPACE-based nomogram to predict cochlear and vestibular endolymphatic hydrops. • The nomogram is of great value to patients who are unable to undergo delayed enhancement MRI scans.
      (© 2024. The Author(s), under exclusive licence to European Society of Radiology.)
    • References:
      Hallpike CS, Cairns H (1938) Observations on the pathology of Meniere’s syndrome: (Section of Otology). Pro R Soc Med 31(11):1317–1336. (PMID: 10.1177/003591573803101112)
      Niyazov DM, Andrews JC, Strelioff D et al (2001) Diagnosis of endolymphatic hydrops in vivo with magnetic resonance imaging. Otol Neurotol 22(6):813–817. (PMID: 10.1097/00129492-200111000-0001711698801)
      Zou J, Pyykko I, Bretlau P et al (2003) In vivo visualization of endolymphatic hydrops in guinea pigs: magnetic resonance imaging evaluation at 4.7 tesla. Ann Otol Rhinol Laryngol 112(12):1059–1065. (PMID: 10.1177/00034894031120121214703111)
      Naganawa S, Komada T, Fukatsu H et al (2006) Observation of contrast enhancement in the cochlear fluid space of healthy subjects using a 3D-FLAIR sequence at 3 Tesla. Eur Radiol 16(3):733–737. (PMID: 10.1007/s00330-005-0046-816267664)
      Nakashima T, Naganawa S, Sugiura M et al (2007) Visualization of endolymphatic hydrops in patients with Meniere’s disease. Laryngoscope 117(3):415–420. (PMID: 10.1097/MLG.0b013e31802c300c17279053)
      Wang F, Lyu H, Zhao M et al (2017) Assessment of cochlea endolymphatic hydrops using 3-D FLAIR and 3-D Real IR sequence in guinea pigs via 3T MRI after intratympanic gadolinium: a histopathological comparison. Otol Neurotol 38(4):585–590. (PMID: 10.1097/MAO.000000000000133128072657)
      Suárez Vega VM, Dominguez P, Caballeros Lam FM et al (2020) Comparison between high-resolution 3D-IR with real reconstruction and 3D-flair sequences in the assessment of endolymphatic hydrops in 3 tesla. Acta Otolaryngol 140(11):883–888. (PMID: 10.1080/00016489.2020.179255032692635)
      Chen W, Niu Y, Lin M et al (2022) Space-occupying lesions of the inner ear are easily misdiagnosed as endolymphatic hydrops in a perilymph-enhanced sequence without the assistance of a heavily T2-weighted sequence. J Comput Assist Tomogr 46(5):830–835. (PMID: 10.1097/RCT.000000000000133135675691)
      Venkatasamy A, Veillon F, Fleury A et al (2017) Imaging of the saccule for the diagnosis of endolymphatic hydrops in Meniere disease, using a three-dimensional T2-weighted steady state free precession sequence: accurate, fast, and without contrast material intravenous injection. Eur Radiol Exp 1(1):14. (PMID: 10.1186/s41747-017-0020-7297081835909345)
      Fukutomi H, Hamitouche L, Yamamoto T et al (2022) Visualization of the saccule and utricle with non-contrast-enhanced FLAIR sequences. Eur Radiol 32(5):3532–3540. (PMID: 10.1007/s00330-021-08403-w34928414)
      Bera K, Braman N, Gupta A et al (2022) Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol 19(2):132–146. (PMID: 10.1038/s41571-021-00560-734663898)
      Rizzo S, Botta F, Raimondi S et al (2018) Radiomics: the facts and the challenges of image analysis. Eur Radiol Exp 2(1):36. (PMID: 10.1186/s41747-018-0068-z304263186234198)
      Wagner MW, Namdar K, Biswas A et al (2021) Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know. Neuroradiology 63(12):1957–1967. (PMID: 10.1007/s00234-021-02813-9345378588449698)
      Goebel JA (2016) 2015 Equilibrium Committee Amendment to the 1995 AAO-HNS guidelines for the definition of Meniere’s disease. Otolaryngol Head Neck Surg 154(3):403–404. (PMID: 10.1177/019459981662852426884364)
      Nakashima T, Naganawa S, Pyykko I et al (2009) Grading of endolymphatic hydrops using magnetic resonance imaging. Acta Otolaryngol Suppl 560:5–8. (PMID: 10.1080/00016480902729827)
      Bernaerts A, Vanspauwen R, Blaivie C et al (2019) The value of four stage vestibular hydrops grading and asymmetric perilymphatic enhancement in the diagnosis of Meniere’s disease on MRI. Neuroradiology 61(4):421–429. (PMID: 10.1007/s00234-019-02155-7307195456431299)
      Gibson WPR (2019) Meniere’s disease. Adv Otorhinolaryngol 82:77–86. (PMID: 30947172)
      Yang TH, Xirasagar S, Cheng YF et al (2021) Peripheral vestibular disorders: nationwide evidence from Taiwan. Laryngoscope 131(3):639–643. (PMID: 10.1002/lary.2887732621538)
      Connor S, Grzeda MT, Jamshidi B et al (2023) Delayed post gadolinium MRI descriptors for Meniere’s disease: a systematic review and meta-analysis. Eur Radiol 33(10):7113–7135. (PMID: 10.1007/s00330-023-09651-83717149310511628)
      Li J, Wang L, Hu N et al (2023) Improving diagnostic accuracy for probable and definite Meniere’s disease using magnetic resonance imaging. Neuroradiology 65(9):1371–1379. (PMID: 10.1007/s00234-023-03176-z37328652)
      Yamamoto M, Teranishi M, Naganawa S et al (2010) Relationship between the degree of endolymphatic hydrops and electrocochleography. Audiol Neurootol 15(4):254–260. (PMID: 10.1159/00025868119923813)
      Katayama N, Yamamoto M, Teranishi M et al (2010) Relationship between endolymphatic hydrops and vestibular-evoked myogenic potential. Acta Otolaryngol 130(8):917–923. (PMID: 10.3109/0001648090357318720105111)
      Wu Q, Dai C, Zhao M et al (2016) The correlation between symptoms of definite Meniere’s disease and endolymphatic hydrops visualized by magnetic resonance imaging. Laryngoscope 126(4):974–979. (PMID: 10.1002/lary.2557626333096)
      Horii A, Osaki Y, Kitahara T et al (2011) Endolymphatic hydrops in Meniere’s disease detected by MRI after intratympanic administration of gadolinium: comparison with sudden deafness. Acta Otolaryngol 131(6):602–609. (PMID: 10.3109/00016489.2010.54840321344957)
      Yu J, Zhou YJ, Xu XD et al (2020) Different findings of morphological changes and functional decline in the vestibule and the semicircular canal in ipsilateral delayed endolymphatic hydrops. Clin Neurophysiol 131(7):1487–1494. (PMID: 10.1016/j.clinph.2020.03.03232388473)
      Xiao H, Chen Y, Huang Q et al (2023) (2023) Differentiating Meniere’s disease and vestibular migraine: insights from gadolinium-enhanced magnetic resonance imaging and clinical features. Laryngoscope. https://doi.org/10.1002/lary.30858. (PMID: 10.1002/lary.3085837767870)
      Lin KT, Lu CJ, Young YH (2022) Predicting positive cochlear endolymphatic hydrops on magnetic resonance images. Laryngoscope Investig Otolaryngol 7(4):1178–1185. (PMID: 10.1002/lio2.869360000479392375)
      Simon F, Guichard JP, Kania R et al (2017) Saccular measurements in routine MRI can predict hydrops in Meniere’s disease. Eur Arch Otorhinolaryngol 274(12):4113–4120. (PMID: 10.1007/s00405-017-4756-828951962)
      Keller JH, Hirsch BE, Marovich RS et al (2017) Detection of endolymphatic hydrops using traditional MR imaging sequences. Am J Otolaryngol 38(4):442–446. (PMID: 10.1016/j.amjoto.2017.01.03828413076)
      van der Lubbe M, Vaidyanathan A, de Wit M et al (2022) A non-invasive, automated diagnosis of Meniere’s disease using radiomics and machine learning on conventional magnetic resonance imaging: a multicentric, case-controlled feasibility study. Radiol Med 127(1):72–82. (PMID: 10.1007/s11547-021-01425-w34822101)
    • Grant Information:
      19411965700 Shanghai Municipal Science and Technology Commission Biomedicine Division Western Medicine Guidance Project
    • Contributed Indexing:
      Keywords: Endolymphatic hydrops; Magnetic resonance imaging; Meniere’s disease; Radiomics; T2-SPACE
    • Publication Date:
      Date Created: 20240308 Date Completed: 20240830 Latest Revision: 20240831
    • Publication Date:
      20240831
    • Accession Number:
      10.1007/s00330-024-10670-2
    • Accession Number:
      38457037