168 related articles for article (PubMed ID: 37233819)
1. MRI and Trouillas' grading system of pituitary tumors: the usefulness of T2 signal intensity volumetric values.
Calandrelli R; Pilato F; D'Apolito G; Schiavetto S; Gessi M; D'Alessandris QG; Lauretti L; Gaudino S
Neuroradiology; 2023 Nov; 65(11):1567-1578. PubMed ID: 37233819
[TBL] [Abstract][Full Text] [Related]
2. Both invasiveness and proliferation criteria predict recurrence of non-functioning pituitary macroadenomas after surgery: a retrospective analysis of a monocentric cohort of 120 patients.
Lelotte J; Mourin A; Fomekong E; Michotte A; Raftopoulos C; Maiter D
Eur J Endocrinol; 2018 Mar; 178(3):237-246. PubMed ID: 29259039
[TBL] [Abstract][Full Text] [Related]
3. Real-life clinical impact of a five-tiered classification of pituitary tumors.
Sahakian N; Appay R; Resseguier N; Graillon T; Piazzola C; Laure C; Figarella-Branger D; Régis J; Castinetti F; Brue T; Dufour H; Cuny T
Eur J Endocrinol; 2022 Dec; 187(6):893-904. PubMed ID: 36315463
[TBL] [Abstract][Full Text] [Related]
4. A practical algorithm to predict postsurgical recurrence and progression of pituitary neuroendocrine tumours (PitNET)s.
Guaraldi F; Zoli M; Righi A; Gibertoni D; Marino Picciola V; Faustini-Fustini M; Morandi L; Bacci A; Pasquini E; Mazzatenta D; Asioli S
Clin Endocrinol (Oxf); 2020 Jul; 93(1):36-43. PubMed ID: 32306401
[TBL] [Abstract][Full Text] [Related]
5. Tumor grade estımatıon of clear cell and papıllary renal cell carcınomas usıng contrast-enhanced MDCT and FSE T2 weıghted MR ımagıng: radıology-pathology correlatıon.
Halefoglu AM; Ozagari AA
Radiol Med; 2021 Sep; 126(9):1139-1148. PubMed ID: 34100169
[TBL] [Abstract][Full Text] [Related]
6. Biomarkers of pituitary macroadenomas aggressive behaviour: a conventional MRI and DWI 3T study.
Conficoni A; Feraco P; Mazzatenta D; Zoli M; Asioli S; Zenesini C; Fabbri VP; Cellerini M; Bacci A
Br J Radiol; 2020 Sep; 93(1113):20200321. PubMed ID: 32628097
[TBL] [Abstract][Full Text] [Related]
7. Usefulness of a clinicopathological classification in predicting treatment-related outcomes and multimodal therapeutic approaches in pituitary adenoma patients: retrospective analysis on a Portuguese cohort of 129 patients from a tertiary pituitary center.
Peixe C; Alexandre MI; Gomes AR; Nobre E; Silva AL; Oliveira T; López-Presa D; Faria CC; Miguens J; Bugalho MJ; Marques P
Pituitary; 2023 Aug; 26(4):352-363. PubMed ID: 37072661
[TBL] [Abstract][Full Text] [Related]
8. Validation of a clinicopathological score for the prediction of post-surgical evolution of pituitary adenoma: retrospective analysis on 566 patients from a tertiary care centre.
Asioli S; Righi A; Iommi M; Baldovini C; Ambrosi F; Guaraldi F; Zoli M; Mazzatenta D; Faustini-Fustini M; Rucci P; Giannini C; Foschini MP
Eur J Endocrinol; 2019 Feb; 180(2):127-134. PubMed ID: 30481158
[TBL] [Abstract][Full Text] [Related]
9. Trouillas's Grading and Post-Surgical Tumor Residue Assessment in Pituitary Adenomas: The Importance of the Multidisciplinary Approach.
Calandrelli R; Mattogno PP; Chiloiro S; Gessi M; D'Apolito G; Tartaglione T; Giampietro A; Bianchi A; Doglietto F; Lauretti L; Gaudino S
Diagnostics (Basel); 2024 Jan; 14(3):. PubMed ID: 38337790
[TBL] [Abstract][Full Text] [Related]
10. Characterization of high-grade pineal region lesions: the usefulness of apparent diffusion coefficient volumetric values.
Calandrelli R; Pilato F; Massimi L; Gessi M; Panfili M; Colosimo C
Acta Radiol; 2022 Feb; 63(2):222-231. PubMed ID: 33497274
[TBL] [Abstract][Full Text] [Related]
11. Risk of Recurrence in Pituitary Neuroendocrine Tumors: A Prospective Study Using a Five-Tiered Classification.
Raverot G; Dantony E; Beauvy J; Vasiljevic A; Mikolasek S; Borson-Chazot F; Jouanneau E; Roy P; Trouillas J
J Clin Endocrinol Metab; 2017 Sep; 102(9):3368-3374. PubMed ID: 28651368
[TBL] [Abstract][Full Text] [Related]
12. Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.
Kocak B; Durmaz ES; Kadioglu P; Polat Korkmaz O; Comunoglu N; Tanriover N; Kocer N; Islak C; Kizilkilic O
Eur Radiol; 2019 Jun; 29(6):2731-2739. PubMed ID: 30506213
[TBL] [Abstract][Full Text] [Related]
13. A new prognostic clinicopathological classification of pituitary adenomas: a multicentric case-control study of 410 patients with 8 years post-operative follow-up.
Trouillas J; Roy P; Sturm N; Dantony E; Cortet-Rudelli C; Viennet G; Bonneville JF; Assaker R; Auger C; Brue T; Cornelius A; Dufour H; Jouanneau E; François P; Galland F; Mougel F; Chapuis F; Villeneuve L; Maurage CA; Figarella-Branger D; Raverot G; ; Barlier A; Bernier M; Bonnet F; Borson-Chazot F; Brassier G; Caulet-Maugendre S; Chabre O; Chanson P; Cottier JF; Delemer B; Delgrange E; Di Tommaso L; Eimer S; Gaillard S; Jan M; Girard JJ; Lapras V; Loiseau H; Passagia JG; Patey M; Penfornis A; Poirier JY; Perrin G; Tabarin A
Acta Neuropathol; 2013 Jul; 126(1):123-35. PubMed ID: 23400299
[TBL] [Abstract][Full Text] [Related]
14. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma.
Bhattacharjee R; Gupta RK; Patir R; Vaishya S; Ahlawat S; Singh A
J Magn Reson Imaging; 2020 Jan; 51(1):225-233. PubMed ID: 31087724
[TBL] [Abstract][Full Text] [Related]
15. Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.
Zeynalova A; Kocak B; Durmaz ES; Comunoglu N; Ozcan K; Ozcan G; Turk O; Tanriover N; Kocer N; Kizilkilic O; Islak C
Neuroradiology; 2019 Jul; 61(7):767-774. PubMed ID: 31011772
[TBL] [Abstract][Full Text] [Related]
16. [Quantitative study of supraspinatus tendon injury grading based on synthetic magnetic resonance imaging].
Ni YB; Tian ZR; Yang JP; Wang YQ; Tian B; Gong R; Zhao W; Wang ZJ
Zhonghua Yi Xue Za Zhi; 2023 Jun; 103(21):1603-1610. PubMed ID: 37248059
[No Abstract] [Full Text] [Related]
17. [Predictive value of the Knosp classification in grading the surgical resection of invasive pituitary macroadenomas. A prospective study of 23 cases].
Enseñat J; Ortega A; Topcewski T; Vilalta J; Obiols G; Mesa J; Sahuquillo J
Neurocirugia (Astur); 2006 Dec; 17(6):519-26. PubMed ID: 17242839
[TBL] [Abstract][Full Text] [Related]
18. PD-L1 Expression in Pituitary Neuroendocrine Tumors/Pituitary Adenomas.
Cossu G; La Rosa S; Brouland JP; Pitteloud N; Harel E; Santoni F; Brunner M; Daniel RT; Messerer M
Cancers (Basel); 2023 Sep; 15(18):. PubMed ID: 37760441
[TBL] [Abstract][Full Text] [Related]
19. Texture Analysis of High b-Value Diffusion-Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas.
Su CQ; Zhang X; Pan T; Chen XT; Chen W; Duan SF; Ji J; Hu WX; Lu SS; Hong XN
J Magn Reson Imaging; 2020 May; 51(5):1507-1513. PubMed ID: 31769565
[TBL] [Abstract][Full Text] [Related]
20. [The value of T2 mapping for evaluating the pathological type, grade and depth of myometrial invasion in endometrial carcinoma].
Li SJ; Zhang ZX; Liu J; Wang WJ; Wang J; Zhang Y; Cheng JL
Zhonghua Zhong Liu Za Zhi; 2023 Aug; 45(8):673-680. PubMed ID: 37580272
[No Abstract] [Full Text] [Related]
[Next] [New Search]
