Prediction of the consistency of pituitary adenoma: A comparative study on diffusion-weighted imaging and pathological results

Lu, Yiping; Xiong, Ji; Geng, Daoying; Yin, Bo

doi:10.1016/j.neurad.2015.09.003

Cited by 55 publications

(51 citation statements)

References 27 publications

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“…We found that there was no significant difference in the TA of T 2 WI. Some previous studies have reported that the signal intensity (SI) on T 2 WI was not correlated with the consistency of pituitary adenomas . However, other studies found that soft tumors displayed a lower SI than hard tumors.…”

Section: Discussionmentioning

confidence: 96%

“…Diffusion‐weighted imaging (DWI) can noninvasively provide a direct insight into the microscopic physical properties of tissues through observing the Brownian movement of water and the use of apparent diffusion coefficient (ADC) values to reflect the cellularity within lesions . DWI has also been proposed to assess the consistency of pituitary macroadenomas, with conflicting results . Pierallini et al and Wei et al indicated that DWI was useful to assess tumor consistency, while Mahmoud et al and Lu et al reported that DWI was not correlated with the consistency of pituitary adenomas.…”

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confidence: 99%

“…DWI has also been proposed to assess the consistency of pituitary macroadenomas, with conflicting results . Pierallini et al and Wei et al indicated that DWI was useful to assess tumor consistency, while Mahmoud et al and Lu et al reported that DWI was not correlated with the consistency of pituitary adenomas. These previous results were based on selected regions of interest (ROIs) placed on a representative area of the tumor for analysis (the hot‐spot method).…”

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confidence: 99%

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Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

Zhang

Pan

et al. 2019

Magnetic Resonance Imaging

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Background: Preoperative evaluation of the consistency of pituitary macroadenomas is important for neurosurgeons to prepare the surgical plan. Purpose: To evaluate the diagnostic performance of texture analysis (TA) of diffusion-weighted imaging (DWI) at a standard b-value (b = 1000 s/mm 2 ) and a high b-value (b = 2000 s/mm 2 ) for their ability to assess the tumor consistency of pituitary macroadenomas. Study Type: Retrospective. Population/Subjects: Fifty patients with histologically confirmed pituitary macroadenomas were classified as soft (n = 37) or hard (n = 13) types. Field Strength/Sequence: Coronal T 2 -weighted imaging (T 2 WI), Readout Segmentation of Long Variable Echo-trains (RESOLVE) DWI at b = 1000 s/mm 2 and b = 2000 s/mm 2 were acquired with 3.0T MRI. Assessment: The corresponding apparent diffusion coefficient (ADC) maps (ADC 1000 and ADC 2000 ) were registered to T 2 WI. Regions of interest (ROIs) were manually drawn along the solid part of the tumor from the coregistered T 2 WI-ADC images. The texture parameters from T 2 WI, ADC 1000 , and ADC 2000 were acquired. Statistical Tests: The texture parameters were compared between the two types by using unpaired Student's t-test. Receiver operating characteristic (ROC) curves and logistic regression analyses were used to assess their diagnostic performance. Results: Significant differences in TA parameters of ADC 1000 and ADC 2000 were observed between soft and hard types (P < 0.05 for all), whereas the TA of T 2 WI resulted in no significant difference (P > 0.05 for all). TA of ADC 2000 provided a superior diagnostic performance compared with that of ADC 1000 (P = 0.038). A combination of mean value and entropy of ADC 2000 yielded an AUC, a sensitivity, and a specificity of 0.911, 78.4% and 92.3%, respectively. Data Conclusion: TA of ADC values were useful for assessing the tumor consistency of pituitary macroadenomas. ADC 2000 may facilitate better type discrimination. Level of Evidence: 3 Technical Efficacy Stage: 2 J. MAGN. RESON. IMAGING 2020;51:1507-1513.View this article online at wileyonlinelibrary.com.

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Section: Discussionmentioning

confidence: 96%

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confidence: 99%

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confidence: 99%

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Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

Zhang

Pan

et al. 2019

Magnetic Resonance Imaging

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“…Because we focused on only comparative qualitative and quantitative analysis of the 2 methods, we did not consider the functional variation of macroadenomas. Second, because pituitary macroadenomas with firm consistency occur in 4%-15% of patients, 3,9 we encountered very few such cases. However, these patients were excluded because preoperative treatment might have induced fibrotic changes in tumors.…”

Section: Discussionmentioning

confidence: 95%

“…6 Consequently, this sequence has limited application and can provide valuable information only for large tumors. Previous studies have attempted to use various diffusion sequences, such as line scan, 7 readout segmentation of long variable echo trains, 8 BLADE (Siemens, Erlangen, Germany), and PROPELLER, 5,[9][10][11] to overcome issues related to artifacts and image degradation and to analyze the diffusivities of tumors. However, at present, there is only experiential knowledge regarding the relationship between normal pituitary glands and pituitary adenomas, which shows that pituitary adenomas are often soft and white in contrast to the more firm, orange-yellow anterior pituitary tissue.…”

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confidence: 99%

Application of Reduced-FOV Diffusion-Weighted Imaging in Evaluation of Normal Pituitary Glands and Pituitary Macroadenomas

Wang¹,

Liu²,

Wei³

et al. 2018

AJNR Am J Neuroradiol

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Radiomic Features on Multiparametric MRI for Preoperative Evaluation of Pituitary Macroadenomas Consistency: Preliminary Findings

Wan

Meng

et al. 2021

Magnetic Resonance Imaging

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BackgroundPreoperative assessment of the consistency of pituitary macroadenomas (PMA) might be needed for surgical planning.PurposeTo investigate the diagnostic performance of radiomics models based on multiparametric magnetic resonance imaging (mpMRI) for preoperatively evaluating the tumor consistency of PMA.Study TypeRetrospective.PopulationOne hundred and fifty‐six PMA patients (soft consistency, N = 104 vs. hard consistency, N = 52), divided into training (N = 108) and test (N = 48) cohorts. The tumor consistency was determined on surgical findings.Field Strength/SequenceT1‐weighted imaging (T1WI), contrast‐enhanced T1WI (T1CE), and T2‐weighted imaging (T2WI) using spin‐echo sequences with a 3.0‐T scanner.AssessmentAn automated three‐dimensional (3D) segmentation was performed to generate the volume of interest (VOI) on T2WI, then T1WI/T1CE were coregistered to T2WI. A total of 388 radiomic features were extracted on each VOI of mpMRI. The top‐discriminative features were identified using the minimum‐redundancy maximum‐relevance method and 0.632+ bootstrapping. The radiomics models based on each sequence and their combinations were established via the random forest (RF) and support vector machine (SVM), and independently evaluated for their ability in distinguishing PMA consistency.Statistical TestsMann–Whitney U‐test and Chi‐square test were used for comparison analysis. The area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), specificity (SPE), and relative standard deviation (RSD) were calculated to evaluate each model's performance. ACC with P‐value<0.05 was considered statistically significant.ResultsEleven mpMRI‐based features exhibited statistically significant differences between soft and hard PMA in the training cohort. The radiomics model built on combined T1WI/T1CE/T2WI demonstrated the best performance among all the radiomics models with an AUC of 0.90 (95% confidence interval [CI]: 0.87–0.92), ACC of 0.87 (CI: 0.84–0.89), SEN of 0.83 (CI: 0.81–0.85), and SPE of 0.87 (CI: 0.85–0.99) in the test cohort.Data ConclusionRadiomic features based on mpMRI have good performance in the presurgical evaluation of PMA consistency.Level of Evidence3Technical EfficacyStage 2

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Prediction of the consistency of pituitary adenoma: A comparative study on diffusion-weighted imaging and pathological results

Cited by 55 publications

References 27 publications

Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

Application of Reduced-FOV Diffusion-Weighted Imaging in Evaluation of Normal Pituitary Glands and Pituitary Macroadenomas

Radiomic Features on Multiparametric MRI for Preoperative Evaluation of Pituitary Macroadenomas Consistency: Preliminary Findings

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