دورية أكاديمية
Diffusion-weighted imaging does not seem to be a predictor of consistency in pituitary adenomas.
العنوان: | Diffusion-weighted imaging does not seem to be a predictor of consistency in pituitary adenomas. |
---|---|
المؤلفون: | Barbosa MA; Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil. moniqab@hotmail.com.; MRI Unit, Clínica de Diagnóstico por Imagem, DASA, Rio de Janeiro, Brazil. moniqab@hotmail.com.; Serviço de Radiologia, Instituto Estadual do Cérebro Paulo Niemeyer, Rua do Rezende, 156, Centro, Rio de Janeiro, 20231-092, Brazil. moniqab@hotmail.com., Pereira EGR; Neurosurgery Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil., da Mata Pereira PJ; Neurosurgery Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil., Guasti AA; Neurosurgery Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil., Andreiuolo F; Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil., Chimelli L; Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil., Kasuki L; Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil.; Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.; Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil., Ventura N; Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.; Neuroradiology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil.; Neuroradiology Unit, Samaritano Hospital, Grupo Fleury, Rio de Janeiro, Brazil., Gadelha MR; Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.; Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil.; Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil. |
المصدر: | Pituitary [Pituitary] 2024 Apr; Vol. 27 (2), pp. 187-196. Date of Electronic Publication: 2024 Jan 25. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Kluwer Academic Publishers Country of Publication: United States NLM ID: 9814578 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7403 (Electronic) Linking ISSN: 1386341X NLM ISO Abbreviation: Pituitary Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Norwell, MA : Kluwer Academic Publishers, 1998- |
مواضيع طبية MeSH: | Pituitary Neoplasms*/diagnostic imaging , Pituitary Neoplasms*/surgery , Pituitary Neoplasms*/pathology , Adenoma*/diagnostic imaging , Adenoma*/surgery , Adenoma*/pathology, Humans ; Diffusion Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/methods ; Retrospective Studies |
مستخلص: | Purpose: To prospectively evaluate the usefulness of T1-weighted imaging (T1WI) and diffusion-weighted imaging (DWI) sequences in predicting the consistency of macroadenomas. In addition, to determine their values as prognostic factors of surgical outcomes. Methods: Patients with pituitary macroadenoma and surgical indication were included. All patients underwent pre-surgical magnetic resonance imaging (MRI) that included the sequences T1WI before and after contrast administration and DWI with the apparent diffusion coefficient (ADC) map. Post-surgical MRI was performed at least 3 months after surgery. The consistency of the macroadenomas was evaluated at surgery, and they were grouped into soft and intermediate/hard adenomas. Mean ADC values, signal on T1WI and the ratio of tumor ADC values to pons (ADC Results: A total of 80 patients were included. A softened consistency was found at surgery in 53 patients and hardened in 27 patients. The median ADC in the soft consistency group was 0.532 × 10 -3 mm 2 /sec (0.306 - 1.096 × 10 -3 mm 2 /sec), and in the intermediate/hard consistency group was 0.509 × 10 -3 mm 2 /sec (0.308 - 0.818 × 10 -3 mm 2 /sec). There was no significant difference between the median values of ADC, ADC Conclusion: Our results did not show usefulness of the DWI and T1WI for assessing the consistency of pituitary macroadenomas, nor as a predictor of the degree of surgical resection. (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.) |
References: | Theodros D, Patel M, Ruzevick J, Lim M, Bettegowda C (2015) Pituitary adenomas: historical perspective, surgical management and future directions. CNS Oncol 4(6):411–429. https://doi.org/10.2217/cns.15.21 . (in eng). (PMID: 10.2217/cns.15.21264975334750488) Rumboldt Z (2005) Pituitary adenomas. Top Magn Reson Imaging 16(4):277–288. https://doi.org/10.1097/01.rmr.0000224684.76006.cf . (in eng). (PMID: 10.1097/01.rmr.0000224684.76006.cf16785843) Vieira L et al (2016) A review on the diagnosis and treatment of patients with clinically nonfunctioning pituitary adenoma by the Neuroendocrinology Department of the Brazilian Society of Endocrinology and Metabolism. Arch Endocrinol Metab 60(4):374–390. https://doi.org/10.1590/2359-3997000000179 . (in eng). (PMID: 10.1590/2359-399700000017927533614) Lake MG, Krook LS, Cruz SV (2013) Pituitary adenomas: an overview. Am Fam Physician 88(5):319–327 (in eng). (PMID: 24010395) Bashari WA et al (2019) Modern imaging of pituitary adenomas. Best Pract Res Clin Endocrinol Metab 33(2):101278. https://doi.org/10.1016/j.beem.2019.05.002 . (in eng). (PMID: 10.1016/j.beem.2019.05.00231208872) Buchfelder M, Schlaffer SM, Zhao Y (2019) The optimal surgical techniques for pituitary tumors. Best Pract Res Clin Endocrinol Metab 33(2):101299. https://doi.org/10.1016/j.beem.2019.101299 . (in eng). (PMID: 10.1016/j.beem.2019.10129931431397) Tampourlou M et al (2017) Outcome of nonfunctioning pituitary adenomas that regrow after primary treatment: a study from two large UK Centers. J Clin Endocrinol Metab 102(6):1889–1897. https://doi.org/10.1210/jc.2016-4061 . (in eng). (PMID: 10.1210/jc.2016-406128323946) Vargas G et al (2015) Clinical characteristics and treatment outcome of 485 patients with nonfunctioning pituitary macroadenomas. Int J Endocrinol 2015:756069. https://doi.org/10.1155/2015/756069 . (in eng). (PMID: 10.1155/2015/756069257377224337176) Ramírez C et al (2012) Expression of Ki-67, PTTG1, FGFR4, and SSTR 2, 3, and 5 in nonfunctioning pituitary adenomas: a high throughput TMA, immunohistochemical study. J Clin Endocrinol Metab 97(5):1745–1751. https://doi.org/10.1210/jc.2011-3163 . (in eng). (PMID: 10.1210/jc.2011-316322419713) Castinetti F et al (2015) Non-functioning pituitary adenoma: when and how to operate? What pathologic criteria for typing? Ann Endocrinol (Paris) 76(3):220–227. https://doi.org/10.1016/j.ando.2015.04.007 . (in eng). (PMID: 10.1016/j.ando.2015.04.00726070464) Fiore G et al (2023) Predicting tumor consistency and extent of resection in non-functioning pituitary tumors. Pituitary 26(2):209–220. https://doi.org/10.1007/s11102-023-01302-x . (in eng). (PMID: 10.1007/s11102-023-01302-x36808379) AcitoresCancela A, Rodríguez Berrocal V, Pian H, Martínez San Millán JS, Díez JJ, Iglesias P (2021) Clinical relevance of tumor consistency in pituitary adenoma. Hormones (Athens) 20(3):463–473. https://doi.org/10.1007/s42000-021-00302-5 . (in eng). (PMID: 10.1007/s42000-021-00302-5) Alimohamadi M et al (2014) Predictive value of diffusion-weighted MRI for tumor consistency and resection rate of nonfunctional pituitary macroadenomas. Acta Neurochir (Wien) 156(12):2245–2252. https://doi.org/10.1007/s00701-014-2259-6 . (in eng). (PMID: 10.1007/s00701-014-2259-625338532) AcitoresCancela A, Rodríguez Berrocal V, Pian Arias H, Díez JJ, Iglesias P (2022) Effect of pituitary adenoma consistency on surgical outcomes in patients undergoing endonasal endoscopic transsphenoidal surgery. Endocrine 78(3):559–569. https://doi.org/10.1007/s12020-022-03161-1 . (in eng). (PMID: 10.1007/s12020-022-03161-1) Pierallini A et al (2006) Pituitary macroadenomas: preoperative evaluation of consistency with diffusion-weighted MR imaging–initial experience. Radiology 239(1):223–231. https://doi.org/10.1148/radiol.2383042204 . (in eng). (PMID: 10.1148/radiol.238304220416452397) Mohamed FF, Abouhashem S (2013) Diagnostic value of apparent diffusion coefficient (ADC) in assessment of pituitary macroadenoma consistency. Egypt J Radiol Nucl Med 44(3):617–624. (PMID: 10.1016/j.ejrnm.2013.05.012) Yiping L, Ji X, Daoying G, Bo Y (2016) Prediction of the consistency of pituitary adenoma: a comparative study on diffusion-weighted imaging and pathological results. J Neuroradiol 43(3):186–194. https://doi.org/10.1016/j.neurad.2015.09.003 . (in eng). (PMID: 10.1016/j.neurad.2015.09.00326585529) Bahuleyan B, Raghuram L, Rajshekhar V, Chacko AG (2006) To assess the ability of MRI to predict consistency of pituitary macroadenomas. Br J Neurosurg 20(5):324–326. https://doi.org/10.1080/02688690601000717 . (in eng). (PMID: 10.1080/0268869060100071717129884) Iuchi T, Saeki N, Tanaka M, Sunami K, Yamaura A (1998) MRI prediction of fibrous pituitary adenomas. Acta Neurochir (Wien) 140(8):779–786. https://doi.org/10.1007/s007010050179 . (in eng). (PMID: 10.1007/s0070100501799810444) Thotakura AK, Patibandla MR, Panigrahi MK, Mahadevan A (2017) Is it really possible to predict the consistency of a pituitary adenoma preoperatively? Neurochirurgie 63(6):453–457. https://doi.org/10.1016/j.neuchi.2017.06.003 . (in eng). (PMID: 10.1016/j.neuchi.2017.06.00329122303) Smith KA, Leever JD, Chamoun RB (2015) Prediction of consistency of pituitary adenomas by magnetic resonance imaging. J Neurol Surg B Skull Base 76(5):340–343. https://doi.org/10.1055/s-0035-1549005 . (in eng). (PMID: 10.1055/s-0035-1549005264014744569502) Suzuki C et al (2007) Apparent diffusion coefficient of pituitary macroadenoma evaluated with line-scan diffusion-weighted imaging. J Neuroradiol 34(4):228–235. https://doi.org/10.1016/j.neurad.2007.06.007 . (in eng). (PMID: 10.1016/j.neurad.2007.06.00717719632) Wei L, Lin SA, Fan K, Xiao D, Hong J, Wang S (2015) Relationship between pituitary adenoma texture and collagen content revealed by comparative study of MRI and pathology analysis. Int J Clin Exp Med 8(8):12898–12905 (in eng). (PMID: 265502064612891) Mahmoud OM et al (2010) Role of PROPELLER diffusion weighted imaging and apparent diffusion coefficient in the diagnosis of sellar and parasellar lesions. Eur J Radiol 74(3):420–427. https://doi.org/10.1016/j.ejrad.2009.03.031 . (in eng). (PMID: 10.1016/j.ejrad.2009.03.03119394778) Su CQ et al (2020) Texture analysis of high b-value diffusion-weighted imaging for evaluating consistency of pituitary macroadenomas. J Magn Reson Imaging 51(5):1507–1513. https://doi.org/10.1002/jmri.26941 . (in eng). (PMID: 10.1002/jmri.2694131769565) Hagmann P, Jonasson L, Maeder P, Thiran JP, Wedeen VJ, Meuli R (2006) Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics 26(Suppl 1):S205–S223. https://doi.org/10.1148/rg.26si065510 . (in eng). (PMID: 10.1148/rg.26si06551017050517) Drake-Pérez M, Boto J, Fitsiori A, Lovblad K, Vargas MI (2018) Clinical applications of diffusion weighted imaging in neuroradiology. Insights Imaging 9(4):535–547. https://doi.org/10.1007/s13244-018-0624-3 . (in eng). (PMID: 10.1007/s13244-018-0624-3298469076108979) Provenzale JM, Engelter ST, Petrella JR, Smith JS, MacFall JR (1999) Use of MR exponential diffusion-weighted images to eradicate T2 shine-through effect. AJR Am J Roentgenol 172(2):537–539. https://doi.org/10.2214/ajr.172.2.9930819 . (in eng). (PMID: 10.2214/ajr.172.2.99308199930819) Minosse S, Marzi S, Piludu F, Vidiri A (2017) Correlation study between DKI and conventional DWI in brain and head and neck tumors. Magn Reson Imaging 42:114–122. https://doi.org/10.1016/j.mri.2017.06.006 . (in eng). (PMID: 10.1016/j.mri.2017.06.00628629955) Schaefer PW, Grant PE, Gonzalez RG (2000) Diffusion-weighted MR imaging of the brain. Radiology 217(2):331–345. https://doi.org/10.1148/radiology.217.2.r00nv24331 . (in eng). (PMID: 10.1148/radiology.217.2.r00nv2433111058626) Lu L, Wan X, Xu Y, Chen J, Shu K, Lei T (2022) Prognostic factors for recurrence in pituitary adenomas: recent progress and future directions. Diagnostics (Basel). https://doi.org/10.3390/diagnostics12040977 . (in eng). (PMID: 10.3390/diagnostics120409773655314910078567) Fleseriu M et al (2021) Consensus on diagnosis and management of Cushing’s disease: a guideline update. Lancet Diab Endocrinol 9(12):847–875. https://doi.org/10.1016/S2213-8587(21)00235-7 . (in eng). (PMID: 10.1016/S2213-8587(21)00235-7) Giustina A et al (2020) Multidisciplinary management of acromegaly: a consensus. Rev Endocr Metab Disord 21(4):667–678. https://doi.org/10.1007/s11154-020-09588-z . (in eng). (PMID: 10.1007/s11154-020-09588-z329143307942783) Melmed S et al (2011) Diagnosis and treatment of hyperprolactinemia: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 96(2):273–288. https://doi.org/10.1210/jc.2010-1692 . (in eng). (PMID: 10.1210/jc.2010-169221296991) Knosp E, Steiner E, Kitz K, Matula C (1993) Pituitary adenomas with invasion of the cavernous sinus space: a magnetic resonance imaging classification compared with surgical findings. Neurosurgery 33(4):610–617. https://doi.org/10.1227/00006123-199310000-00008 . (in eng). (PMID: 10.1227/00006123-199310000-000088232800) Micko AS, Wöhrer A, Wolfsberger S, Knosp E (2015) Invasion of the cavernous sinus space in pituitary adenomas: endoscopic verification and its correlation with an MRI-based classification. J Neurosurg 122(4):803–811. https://doi.org/10.3171/2014.12.JNS141083 . (in eng). (PMID: 10.3171/2014.12.JNS14108325658782) Edal AL, Skjödt K, Nepper-Rasmussen HJ (1997) SIPAP—a new MR classification for pituitary adenomas. Suprasellar, infrasellar, parasellar, anterior and posterior. Acta Radiol 38(1):30–36. https://doi.org/10.1080/02841859709171238 . (in eng). (PMID: 10.1080/028418597091712389059398) Bonneville JF (2016) Magnetic resonance imaging of pituitary tumors. Front Horm Res 45:97–120. https://doi.org/10.1159/000442327 . (in eng). (PMID: 10.1159/00044232727003878) Romano A et al (2017) Predictive role of dynamic contrast enhanced T1-weighted MR sequences in pre-surgical evaluation of macroadenomas consistency. Pituitary 20(2):201–209. https://doi.org/10.1007/s11102-016-0760-z . (in eng). (PMID: 10.1007/s11102-016-0760-z27730456) Gadelha MR, Barbosa MA, Lamback EB, Wildemberg LE, Kasuki L, Ventura N (2022) Pituitary MRI standard and advanced sequences: role in the diagnosis and characterization of pituitary adenomas. J Clin Endocrinol Metab 107(5):1431–1440. https://doi.org/10.1210/clinem/dgab901 . (in eng). (PMID: 10.1210/clinem/dgab90134908114) Ma Z et al (2016) Predictive value of PWI for blood supply and T1-spin echo MRI for consistency of pituitary adenoma. Neuroradiology 58(1):51–57. https://doi.org/10.1007/s00234-015-1591-8 . (in eng). (PMID: 10.1007/s00234-015-1591-826376802) Conficoni A et al (2020) Biomarkers of pituitary macroadenomas aggressive behaviour: a conventional MRI and DWI 3T study. Br J Radiol 93(1113):20200321. https://doi.org/10.1259/bjr.20200321 . (in eng). (PMID: 10.1259/bjr.20200321326280977465851) Boxerman JL, Rogg JM, Donahue JE, Machan JT, Goldman MA, Doberstein CE (2010) Preoperative MRI evaluation of pituitary macroadenoma: imaging features predictive of successful transsphenoidal surgery. AJR Am J Roentgenol 195(3):720–728. https://doi.org/10.2214/AJR.09.4128. (PMID: 10.2214/AJR.09.412820729452) Sanei Taheri M et al (2019) Accuracy of diffusion-weighted imaging-magnetic resonance in differentiating functional from non-functional pituitary macro-adenoma and classification of tumor consistency. Neuroradiol J 32(2):74–85. https://doi.org/10.1177/1971400918809825. (PMID: 10.1177/197140091880982530501465) Antunes X et al (2018) Predictors of surgical outcome and early criteria of remission in acromegaly. Endocrine 60(3):415–422. https://doi.org/10.1007/s12020-018-1590-8 . (in eng). (PMID: 10.1007/s12020-018-1590-829626274) Ko CC, Chen TY, Lim SW, Kuo YT, Wu TC, Chen JH (2019) Prediction of recurrence in solid nonfunctioning pituitary macroadenomas: additional benefits of diffusion-weighted MR imaging. J Neurosurg 132(2):351–359. https://doi.org/10.3171/2018.10.JNS181783 . (in eng). (PMID: 10.3171/2018.10.JNS18178330717054) Zeynalova A et al (2019) Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI. Neuroradiology 61(7):767–774. https://doi.org/10.1007/s00234-019-02211-2 . (in eng). (PMID: 10.1007/s00234-019-02211-231011772) Hughes JD, Fattahi N, Van Gompel J, Arani A, Ehman R, Huston J (2016) Magnetic resonance elastography detects tumoral consistency in pituitary macroadenomas. Pituitary 19(3):286–292. https://doi.org/10.1007/s11102-016-0706-5 . (in eng). (PMID: 10.1007/s11102-016-0706-5267828364860122) Hughes JD et al (2016) Adenoid cystic carcinoma metastatic to the pituitary: a case report and discussion of potential diagnostic value of magnetic resonance elastography in pituitary tumors. World Neurosurg 91:669.e11–4. https://doi.org/10.1016/j.wneu.2016.03.044 . (in eng). (PMID: 10.1016/j.wneu.2016.03.044) Yao A et al (2020) Pituitary adenoma consistency: direct correlation of ultrahigh field 7T MRI with histopathological analysis. Eur J Radiol 126:108931. https://doi.org/10.1016/j.ejrad.2020.108931 . (in eng). (PMID: 10.1016/j.ejrad.2020.10893132146344) |
فهرسة مساهمة: | Keywords: Consistency; Diffusion-weighted imaging; Magnetic resonance imaging; Pituitary adenoma |
تواريخ الأحداث: | Date Created: 20240125 Date Completed: 20240415 Latest Revision: 20240415 |
رمز التحديث: | 20240415 |
DOI: | 10.1007/s11102-023-01377-6 |
PMID: | 38273189 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1573-7403 |
---|---|
DOI: | 10.1007/s11102-023-01377-6 |