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ORIGINAL RESEARCH article

Front. Surg., 26 July 2022
Sec. Neurosurgery
Volume 9 - 2022 | https://doi.org/10.3389/fsurg.2022.922626

Application of “mosiac sign” on T2-WI in predicting the consistency of pituitary neuroendocrine tumors

  • 1Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
  • 2Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

Purpose: Tumor consistency is important for pituitary neuroendocrine tumors (PitNETs) resection to improve surgical outcomes. In this study, we evaluated the T2-WI of PitNETs and defined a specific T2-WI signaling manifestation, the “Mosaic sign,” to predict tumor consistency and resection of PitNETs.

Design: A retrospective review of MRI and tumor histology of 137 consecutive patients who underwent endoscopic endonasal resection for PitNETs was performed.

Methods: The “Mosaic sign” was defined by the ratio of the tumor itself T2-WI signals, and characterized by multiple intratumor hyperintense dots. The degree of tumor resection was an assessment by postoperative MRI examination. The presence of the “Mosaic sign” was compared with patients' basic information, tumor consistency, tumor pathological staining, and surgical result. To determine whether the presence or absence of “Mosaic sign” could predict tumor consistency and guide surgical resection of tumors.

Results: Statistical analysis showed that the consistency of the tumor and the degree of resection were correlated with the “Mosaic sign”. In the 137 cases of T2-WI, 43 had “Mosaic sign”, 39 cases had soft tumor consistency, and 4 were classified as fibrous, of which 42 were completely resected and 1 was subtotal resected. Of the 94 patients without “Mosaic sign”, the consistency of tumor of 54 cases were classified as soft, the remaining 40 cases were fibrous, 80 cases were completely resected, and 14 cases were subtotal resected. Postoperative cerebrospinal fluid leakage occurred in 1 patient. The number of corticotroph adenomas in the group of “Mosaic sign” was higher, with the statistical difference between the two groups (P = 0.0343).

Conclusions: The presence of the “Mosaic sign” in T2-WI may provide preoperative information for pituitary adenomas consistency and effectively guide surgical approaches.

Introduction

PitNET is a kind of common benign intracranial tumor (1). The transsphenoidal approach has been the preferred treatment for the vast majority of PitNETs. However, for 1%–4% of these tumors, a transcranial approach is still required (2). The choice of surgical approach remains a problem for tumors with extensive suprasellar and lateral extension (3). However, if tumor consistency can be predicted preoperatively, the choice of surgical approach in the face of these complex types of adenomas may no longer bother the surgeon (46). When the tumor is soft, it can be fully removed by aspiration and curettage via the transsphenoidal approach. However, when the tumor is fibrous, it is difficult to be completely resected. Sometimes, craniotomy is even necessary to achieve a satisfactory resected effect (4, 7). Magnetic resonance imaging (MRI) is an important means of preoperative examination for PitNETs, which can provide information including tumor location, size, and aggressiveness (8, 9). The predictive value of MRI in PitNET consistency is being continuously explored (10). Conventional MRI methods such as T1-WI and T2-WI as well as CE-FIESTA and DWI have been shown to predict tumor consistency in PitNETs (1114). However, the reliability of the forecasts is controversial (15). The purpose of our study was to determine whether preoperative MRI features might be associated with tumor consistency. Specifically, we analyzed the relationship between the “Mosaic sign” in T2-WI and tumor consistency and surgical outcome to test whether it could effectively predict tumor consistency to provide guidelines for surgeons in planning operations.

Materials and methods

Patients

This retrospective study included all patients with histopathologically proven PitNETs who underwent transsphenoidal resection of tumors at our hospital between January 2020 and February 2021, and who underwent MRI before and after surgery. A total of 137 patients met the inclusion criteria. All patients were followed up until now. The study was approved by our hospital's Institutional Review Board.

Clinical setting

All patients were operated on by the same team of neurosurgeons. Tumor consistency, classified as soft or fibrous, was assessed in blinded double-check by the two surgeons according to the lesions' inner surgical features after reviewing their surgical notes and video records. In detail, tumors easily removable with conventional maneuvers of curettage and suction were defined as soft. More resistant ones, difficult to remove and thus requiring more complex maneuvers such as extracapsular dissection, were classified as fibrous (11). Although this definition is quite subjective, it is widely used and does make sense to surgeons (16).

Imaging

The scans were performed using a 3.0-Tesla MRI scanner (Magnetom Avanto). All patients underwent MRI before and after surgery, and T2-WI (TR 4000 ms, TE 89 ms, layer thickness 4 mm, layer spacing 1 mm, FOV 30 cm × 30 cm, matrix size, 240 × 320) were included in each examination. The MRI was examined by two neuroradiologists who were unaware of the patient's identity or response to treatment. The extent of resection was determined by postoperative MRI. Total resection indicated the absence of residual tumor; subtotal resection indicated resection of ≥90% of the tumor.

Definition of “mosaic sign”

“Mosaic sign” was defined as a lesion containing small multiple hyperintense dots (ranging in size from 0.5 mm to <2 mm), or cystic changes that are predicted to be a soft-tissue compartment of the adenoma. However, if the tumor presented with a homogenous hypointense signal without a mosaic sign, it predicted the tumor compartment to be fibrous (Figure 1) (14).

FIGURE 1
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Figure 1. Radiological features of “Mosaic Sign”. (A–D) Sagittal T2-WI in 4 patients showed intratumoral hyperintense dots within the tumor.

Histopathological examination

All surgical specimens were treated as usual. Tissues were fixed in 10% formalin buffer and embedded in paraffin. 4 µm tissue sections were prepared for immunohistochemical analysis.

The tumors were classified according to the fourth edition of the WHO Classification of Pituitary Tumors (17).

Statistical analysis

Statistical analyses were performed using SPSS version 21.0. Categorical variables were defined by frequency and percentage rate, and numeric variables with mean ± standard deviation (SD). In triple independent group comparisons, ANOVA tests were used for normally distributed numeric variables, and Kruskal–Wallis tests were used for non-normally distributed data. Categorical variables were compared using a Chi-square test. Statistically significant results were defined with a P-value of <0.05.

Results

Findings of basic data

A population of 137 patients was enrolled in this cohort, including 63 (46.0%) males and 74 (54.0%) females. The average age of surgery was 55.3 ± 16.9 years. According to the T2-WI manifestation and the classification of Knosp or Hardy (Table 1). However, we found a statistically significant difference in BMI values between the two groups. Patients without the “Mosaic sign” were higher than patients with the “Mosaic sign” (P = 0.0280).

TABLE 1
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Table 1. Clinical features, imaging, surgical, and pathological details of 137 patients with PitNETs.

Findings of surgery

Intraoperatively, all of the 43 (100%) patients had tumors that were classified as soft in the group of patients with the “Mosaic sign”. In addition, 54 (57.4%) patients had tumors that were classified as soft, and 40 (42.6%) patients were found to have fibrous tumors in the other group. The difference was statistically significant between the two groups (P < 0.0001). The ROC curve and the area under the ROC curve (AUC) were generated to evaluate the “Mosaic sign” potential use as a predictor of tumor consistency with a sensitivity and specificity of 70.7% and 100%, respectively (Figure 2). The group of “Mosaic sign” gross total resection was achieved in 42 (97.6%) patients, subtotal resection (>90% of tumor) in 1 (2.4%) patient. Among patients without the “Mosaic sign”, 80 cases (85.1%) had a gross total resection, and 14 cases (24.9%) had subtotal resections (estimated resection of >90%). This difference was statistically significant (P = 0.0288). (Table 1). In the “Mosaic sign” group, 22 cases had Knosp grade ≥3, and 19 cases had Hardy grade ≥C (This type of tumor is considered invasive (18, 19)). Only subtotal resection was performed in 1 patient because the tumor enveloped the internal carotid artery and the adhesion was tight. By contrast, in the other group, subtotal resection was performed in 14 of 49 PitNETs of Knosp grades 3 and 4 (28.5%), and 11 cases (29.7%)were subtotal resections in PitNETs of Hardy grade ≥C (Table 2).

FIGURE 2
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Figure 2. ROC curves of “Mosaic sign”. Sensitivity and specificity of 70.7% and 100%, respectively.

TABLE 2
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Table 2. Invasion and degree of tumor resection.

Findings of pathologic analyses

16 cases (37.2%) in the group of “Mosaic sign” were corticotroph tumors, which was higher than that in the non-Mosaic group19 cases (20.2%), which (P = 0.0343). There was no statistical difference among other types (Somatotroph adenomas, P = 0.0785; Lactotroph tumors, P = 0.2199; Gonadotroph tumors, P = 0.6774; Plurihormonal tumors, P = 0.7800; Null cell tumors, P = 0.5421) (Table 1).

Illustrative cases

Case 1 was a 39-year-old female patient who presented with vision loss. Pre-op. A huge invasive tumor located in the sellar and suprasellar region was found on MRI. The tumor presented a “Mosaic sign” on T2-WI, hence it was predicted to be a soft tumor. So, we chose an EEA to remove the tumors, which were confirmed to be soft (Supplementary Figure S1). Post-op. No complications such as CSF leakage, intra-cranial infection, or hypopituitarism occurred after surgery (Figure 3). The immunohistochemical result proved to be a silent ACTHoma (Supplementary Figure S2). (GH (−), PRL (−), LH (−), TSH (−), FSH (−), ACTH (+), Ki-67 (1–3%), PIT-1 (−), SF-1 (+), T-PIT (+)).

FIGURE 3
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Figure 3. Preoperative and postoperative MRI images of a patient in the “Mosaic sign” group. (A–C) Preoperative coronal, axial, and sagittal enhanced MRI, Knosp = 3, Hardy = D; (D) Preoperative sagittal T2-WI with “Mosaic Sign”; (E–G) The tumor was completely resected on coronal, axial, sagittal enhanced MRI 1 month postoperatively.

Case 2 was a 47-year-old male patient who presented with vision loss and headache. Pre-op. The neoplasm showed uniform hyposensitivity on T2-WI and was therefore predicted to be a fibrous tumor. Because the tumor growth was relatively regular, we chose EEA to remove the tumor, which was proved to be fibrous (Supplementary Figure S1). Post-op. No complications such as CSF leakage, intra-cranial infection, or hypopituitarism occurred after surgery (Figure 4). The immunohistochemical result proved to be a nonfunction tumor (Supplementary Figure S2). (GH (−), PRL (−), LH (−), TSH (−), FSH (+), ACTH (−), Ki-67 (2–4%), PIT-1 (−), SF-1 (−), T-PIT (−)).

FIGURE 4
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Figure 4. Preoperative and postoperative MRI images of a patient in the group without “Mosaic sign”. (A–C) Preoperative coronal, axial, and sagittal enhanced MRI, Knosp = 2, Hardy = B; (D) Preoperative sagittal T2-WI without “Mosaic Sign”; (E–G) The tumor was completely resected on coronal, axial, sagittal enhanced MRI 1 month postoperatively.

Discussion

Prediction of tumor consistency

The preoperative consistency prediction of PITnet is controversial, and different imaging has its unique value. For example, Wan et al. made consistent predictions based on a radiomic model of multi-parameter magnetic resonance imaging (mpMRI), while Cohen-Cohen et al. argued that MRE was a reliable tool compared to other sequences (20, 21). As far as we know, currently, studies on preoperative prediction of tumor consistency have focused on imaging findings on T2-WI (11, 22). Although there are controversies, it seems that T2-WI strongly indicates tumor consistency (23). Some studies have shown that a low signal on T2-weighted images corresponds to fibrotic tumors. Some people believe that a signal of equal intensity is more likely to predict fibrotic tumors. Finally, some researchers believe that there is no significant relationship between tumor consistency and MRI (10, 16, 24). One study showed that tumors may be fibrous if showing low signal strength and homogeneous enhancement on T2-WI (10). Smith et al. suggested that tumor-to-cerebellar peduncle ratios could predict tumor consistency. Ratios >1.8 have a high predictive value for soft consistency tumors; ratios <1.5 have a high predictive value for firm consistency tumors (16). However, some studies have concluded that relative signal strength values do not correspond to tumor consistency (15, 25). The main reason may be that the factors influencing T2-WI signal strength are independent of the histological results (26). Based on existing reports, we found that PitNETs with mixed signals of high and low intensity present in T2-WI which we called “Mosaic sign” usually indicates that the tumor is soft and easy to remove. The judgment of signal level is only the comparison of the signal inside the tumor and has nothing to do with the factors outside the tumor, avoiding the error brought by comparing the gray matter or other tissues with the tumor tissue. In this study, all the tumors with “Mosaic sign” had a soft consistency. The causes of such imaging are complex, uneven tumor cell density, or uneven free water, fiber, and collagen content in different parts of the tumor, or the presence of multimicrocystic. There is evidence that tumors with more collagen show lower signal intensity on T2-weighted images (10). From our point of view, when tumor components are mixed, that is, collagen and free water are mixed and dispersed between tumors, there will be “Mosaic” markers, which may be related to tumor growth rate and growth mode, which needs to be further explored. Furthermore, there is a special case, that is, scattered small cystic changes within the tumor.

“Mosaic sign” for surgical selection

At present, the surgical approach for the giant tumor is still controversial. For larger lesions, the consistency of the tumor may be a factor in determining the need for craniotomy (27). If the tumor consistency is soft, endoscopic transnasal surgery can achieve satisfactory results (28). Meanwhile, the consistency of PitNET is an important intraoperative characteristic that may dictate operative dissection techniques and/or instruments used for tumor removal during endoscopic endonasal approaches (6, 29). Furthermore, preoperative determination of tumor consistency can minimize the chance of postoperative complications and residual tumors (17). Tumors with soft consistency are easy to be sucked out/curetted intraoperatively, and the effect of resection is better. Secondly, if there is a suprasellar extension of the tumor, after intraoperative resection of the lower part of the tumor, the saddle of the tumor is easy to descend, and the complete resection of the tumor can be completed at one time, avoiding the secondary operation or even craniotomy. Finally, the soft tumors are more likely to separate from the surrounding tissue and proper intraoperative use of aspirators can help the surgeon remove the tumor adequately, causing less damage to the surrounding tissue. Fibrous tumors are more difficult to remove with a transsphenoidal approach. Internal debulking can be difficult even with the use of an ultrasound aspirator, and the fragmentation cannot be easily accomplished without adequate mobilization (28). Moreover, it is difficult to peel off such tumors that adhere to the surrounding tissues with ordinary instruments, which is easy to cause damage to the surrounding tissues. At this time, transcranial approaches or combined transcranial and endoscopic approaches are necessary (30). Therefore, preoperative assessment and prediction of tumor consistency are particularly important. The improved preoperative prediction may better guide patients on risks and benefits. In our study cohort, it is not difficult to find that for giant tumors, transnasal endoscopic surgery in the “Mosaic sign” group of cases is more likely to achieve satisfactory results, and there are no significant complications. One of the main reasons is that tumors with the “Mosaic sign” tend to be softer and easier to remove during surgery. There is no denying that the surgeon's skill and experience can also affect the outcome. In conclusion, endoscopic transsphenoidal surgery can be selected even if the pituitary tumor is large if there is a “Mosaic” sign on T2-weighted images before surgery, and better surgical results can be achieved.

“Mosaic sign” and tumor types

Notably, the pathological type of the tumor was correlated with the “Mosaic sign”, that is, corticotroph tumors (Including SCAs) were more prone to the “Mosaic sign”, suggesting soft tumor consistency, consistent with what has been reported in the literature (31). Microcyst patterns on T2-WI have been considered radiological features of SCAs in several studies (32, 33). Laure et al. found multiple microcysts in most SCAs and pseudopapillary artefactual dehiscences and perivascular pseudorosettes in SCAs on pathological examination. They considered that a dissociated tissue with pseudopapillary dehiscences could explain the small hyperintense foci in T2-WI (34). The radiographic appearance of this microcyst coincides with our definition of a “Mosaic sign”. However, the mechanism needs further research.

Limitation

Our study has several limitations. Firstly, this study was a retrospective analysis with a relatively small number of patients. Secondly, the quantitative description of the “Mosaic sign” was not included in our study. In future work, we can quantitatively describe such imaging findings by reviewing more case data. Third and finally, we did not quantitatively analyze the degree of fibrosis in histopathological specimens, and we will verify this in the future.

Conclusions

The “Mosaic sign” on T2-WI in patients with PitNET may indicate a soft tumor texture, and a satisfactory resection can be achieved by endoscopic transnasal surgery, even for large, aggressive tumors. But further large-scale studies are needed to confirm and improve this approach.

Data availability statement

Some or all datasets generated during and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Ethics statement

Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

DN and PZ drafted the manuscript. CL, CL, HZ, and SG helped to revise the manuscript. YZ and LC read and approved the final manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the Capital's Funds for Health Improvement and Research (2020-4-1077).

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsurg.2022.922626/full#supplementary-material.

Supplementary Figure 1

Intraoperative conditions. (A-B) The texture of the tumor is soft; (C) The texture of the tumor is fibrous.

Supplementary Figure 2

Hematoxylin-eosin staining. (A) Case 1; (B) Case 2.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Budan RM, Georgescu CE. Multiple pituitary adenomas: a systematic review. Front Endocrinol (Lausanne). (2016) 7:1. doi: 10.3389/fendo.2016.00001

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Wilson CB. A decade of pituitary microsurgery: the Herbert Olivecrona lecture. J Neurosurg. (1984) 61(5):814–33. doi: 10.3171/jns.1984.61.5.0814

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mortini P, Barzaghi R, Losa M, Boari N, Giovanelli M. Surgical treatment of giant pituitary adenomas: strategies and results in a series of 95 consecutive patients. Neurosurgery. (2007) 60(6):993–1004. doi: 10.1227/01.NEU.0000255459.14764.BA

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Buchfelder M, Kreutzer J. Transcranial surgery for pituitary adenomas. Pituitary. (2008) 11(4):375–84. doi: 10.1007/s11102-008-0120-8

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Youssef AS, Agazzi S, van Loveren HR. Transcranial surgery for pituitary adenomas. Neurosurgery. (2005) 57(1 Suppl):168–75; discussion 168–75. doi: 10.1227/01.neu.0000163602.05663.86

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Couldwell WT. Transsphenoidal and transcranial surgery for pituitary adenomas. J Neurooncol. (2004) 69(1-3):237–56. doi: 10.1023/B:NEON.0000041886.61149.ab

PubMed Abstract | CrossRef Full Text | Google Scholar

7. D’Haens J, Van Rompaey K, Stadnik T, Haentjens P, Poppe K, Velkeniers B. Fully endoscopic transsphenoidal surgery for functioning pituitary adenomas: a retrospective comparison with traditional transsphenoidal microsurgery in the same institution. Surg Neurol. (2009) 72(4):336–40. doi: 10.1016/j.surneu.2009.04.012

CrossRef Full Text | Google Scholar

8. Bashari WA, Senanayake R, Fernández-Pombo A, Gillett D, Koulouri O, Powlson AS, et al. Modern imaging of pituitary adenomas. Best Pract Res Clin Endocrinol Metab. (2019) 33(2):101278. doi: 10.1016/j.beem.2019.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Gao A, Bai J, Cheng J, Cheng X, Li S, Zhang Z, et al. Differentiating skull base chordomas and invasive pituitary adenomas with conventional MRI. Acta Radiol. (2018) 59(11):1358–64. doi: 10.1177/0284185118757576

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Iuchi T, Saeki N, Tanaka M, Sunami K, Yamaura A. MRI prediction of fibrous pituitary adenomas. Acta Neurochir. (1998) 140(8):779–86. doi: 10.1007/s007010050179

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Cuocolo R, Ugga L, Solari D, Corvino S, D'Amico A, Russo D, et al. Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI. Neuroradiology. (2020) 62(12):1649–56. doi: 10.1007/s00234-020-02502-z

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Suzuki C, Maeda M, Hori K, Kozuka Y, Sakuma H, Taki W, et al. Apparent diffusion coefficient of pituitary macroadenoma evaluated with line-scan diffusion-weighted imaging. J Neuroradiol. (2007) 34(4):228–35. doi: 10.1016/j.neurad.2007.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lagerstrand K, Gaedes N, Eriksson S, Farahmand D, De Coursey E, Johansson G, et al. Virtual magnetic resonance elastography has the feasibility to evaluate preoperative pituitary adenoma consistency. Pituitary. (2021) 24(4):530–41. doi: 10.1007/s11102-021-01129-4

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yamamoto J, Kakeda S, Shimajiri S, Takahashi M, Watanabe K, Kai Y, et al. Tumor consistency of pituitary macroadenomas: predictive analysis on the basis of imaging features with contrast-enhanced 3D FIESTA at 3 T. AJNR Am J Neuroradiol. (2014) 35(2):297–303. doi: 10.3174/ajnr.A3667

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Bahuleyan B, Raghuram L, Rajshekhar V, Chacko AG. To assess the ability of MRI to predict consistency of pituitary macroadenomas. Br J Neurosurg. (2006) 20(5):324–6. doi: 10.1080/02688690601000717

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Smith KA, Leever JD, Chamoun RB. Prediction of consistency of pituitary adenomas by magnetic resonance imaging. J Neurol Surg B Skull Base. (2015) 76(5):340–3. doi: 10.1055/s-0035-1549005

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mete O, Lopes MB. Overview of the 2017 WHO classification of pituitary tumors. Endocr Pathol. (2017) 28(3):228–43. doi: 10.1007/s12022-017-9498-z

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Basaran R, Gundogan D, Senol M, Bozdogan C, Gezen F, Sav A. The expression of stem cell markers (CD133, Nestin, OCT4, SOX2) in invasive pituitary adenomas. Acta Endocrinol (Buchar). (2020) 16(3):303–10. doi: 10.4183/aeb.2020.303

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wu X, Xie SH, Tang B, Yang YQ, Yang L, Ding H, et al. Pituitary adenoma with posterior area invasion of cavernous sinus: surgical anatomy, approach, and outcomes. Neurosurg Rev. (2020) 44(4):2229–37. doi: 10.1007/s10143-020-01404-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Wan T, Wu C, Meng M, Liu T, Li C, Ma J, et al. Radiomic features on multiparametric MRI for preoperative evaluation of pituitary macroadenomas consistency: preliminary findings. J Magn Reson Imaging. (2022) 55(5):1491–503. doi: 10.1002/jmri.27930

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Cohen-Cohen S, Helal A, Yin Z, Ball MK, Ehman RL, Van Gompel JJ, et al. Predicting pituitary adenoma consistency with preoperative magnetic resonance elastography. J Neurosurg. (2021):1–8. doi: 10.3171/2020.10.JNS201642. [Epub ahead of print]34715659

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Boxerman JL, Rogg JM, Donahue JE, Machan JT, Goldman MA, Doberstein CE. Preoperative MRI evaluation of pituitary macroadenoma: imaging features predictive of successful transsphenoidal surgery. AJR Am J Roentgenol. (2010) 195(3):720–8. doi: 10.2214/AJR.09.4128

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Chen XY, Ding CY, You HH, Chen JY, Jiang CZ, Yan XR, et al. Relationship between pituitary adenoma consistency and extent of resection based on tumor/cerebellar peduncle T2-weighted imaging intensity (TCTI) ratio of the point on preoperative magnetic resonance imaging (MRI) corresponding to the residual point on postoperative MRI. Med Sci Monit. (2020) 26:e919565. doi: 10.12659/MSM.919565

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Theodros D, Patel M, Ruzevick J, Lim M, Bettegowda C. Pituitary adenomas: historical perspective, surgical management and future directions. CNS Oncol. (2015) 4(6):411–29. doi: 10.2217/cns.15.21

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Thotakura AK, Patibandla MR, Panigrahi MK, Mahadevan A. Is it really possible to predict the consistency of a pituitary adenoma preoperatively? Neurochirurgie. (2017) 63(6):453–7. doi: 10.1016/j.neuchi.2017.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hagiwara A, Inoue Y, Wakasa K, Haba T, Tashiro T, Miyamoto T. Comparison of growth hormone–producing and non–growth hormone–producing pituitary adenomas: imaging characteristics and pathologic correlation. Radiology. (2003) 228(2):533–8. doi: 10.1148/radiol.2282020695

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Snow RB, Lavyne MH, Lee BC, Morgello S, Patterson RH Craniotomy versus transsphenoidal excision of large pituitary tumors: the usefulness of magnetic resonance imaging in guiding the operative approach. Neurosurgery. (1986) 19(1):59–64. doi: 10.1227/00006123-198607000-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Cappelletti M, Ruggeri AG, Spizzichino L, D'Amico A, D'avella E, Delfini R. Fibrous pituitary macroadenomas: predictive role of preoperative radiologic investigations for proper surgical planning in a cohort of 66 patients. World Neurosurg. (2019) 121:e449–57. doi: 10.1016/j.wneu.2018.09.137

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Rutkowski MJ, Chang KE, Cardinal T, Du R, Tafreshi AR, Donoho DA, et al. Development and clinical validation of a grading system for pituitary adenoma consistency. J Neurosurg. (2020):1–8. doi: 10.3171/2020.4.JNS193288

CrossRef Full Text | Google Scholar

30. Pratheesh R, Rajaratnam S, Prabhu K, Mani SE, Chacko G, Chacko AG. The current role of transcranial surgery in the management of pituitary adenomas. Pituitary. (2013) 16(4):419–34. doi: 10.1007/s11102-012-0439-z

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Jiang S, Zhu J, Feng M, Yao Y, Deng K, Xing B, et al. Clinical profiles of silent corticotroph adenomas compared with silent gonadotroph adenomas after adopting the 2017 WHO pituitary classification system. Pituitary. (2021) 24(4):564–73. doi: 10.1007/s11102-021-01133-8

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Kasuki L, Antunes X, Coelho M, Lamback EB, Galvão S, Silva Camacho AH, et al. Accuracy of microcystic aspect on T2-weighted MRI for the diagnosis of silent corticotroph adenomas. Clin Endocrinol (Oxf). (2020) 92(2):145–9. doi: 10.1111/cen.14133

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Cazabat L, Dupuy M, Boulin A, Bernier M, Baussart B, Foubert L, et al. Silent, but not unseen: multimicrocystic aspect on T2-weighted MRI in silent corticotroph adenomas. Clin Endocrinol (Oxf). (2014) 81(4):566–72. doi: 10.1111/cen.12443

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Langlois F, Lim D, Yedinak CG, Cetas I, McCartney S, Cetas J, et al. Predictors of silent corticotroph adenoma recurrence; a large retrospective single center study and systematic literature review. Pituitary. (2018) 21(1):32–40. doi: 10.1007/s11102-017-0844-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: T2-weighted imaging, mosaic sign, consistency, surgical approaches, magnetic resonance imaging, PitNETs

Citation: Nie D, Zhao P, Li C, Liu C, Zhu H, Gui S, Zhang Y and Cao L (2022) Application of “mosiac sign” on T2-WI in predicting the consistency of pituitary neuroendocrine tumors. Front. Surg. 9:922626. doi: 10.3389/fsurg.2022.922626

Received: 18 April 2022; Accepted: 8 July 2022;
Published: 26 July 2022.

Edited by:

Adib Abla, University of California, United States

Reviewed by:

Shousen Wang, Fujian Medical University, China
İhsan Anık, Kocaeli University, Turkey

© 2022 Nie, Zhao, Li, Liu, Zhu, Gui, Zhang and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yazhuo Zhang zyz2004520@yeah.net Lei Cao caolei_163@163.com

These authors have contributed equally to this work and share the first authorship

Specialty Section: This article was submitted to Neurosurgery, a section of the journal Frontiers in Surgery

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