Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin’s tumors

Tanaka, Fumine; Umino, Maki; Maeda, Masayuki; Nakayama, Ryohei; Inoue, Katsuhiro; Kogue, Ryota; Obara, Makoto; Sakuma, Hajime

doi:10.1038/s41598-022-09968-2

Cited by 3 publications

(12 citation statements)

References 15 publications

(29 reference statements)

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“…In our study, we found that the multi-sequence combined radiomics model exhibited better diagnostic performance than single- and double-sequence radiomics models when differentiating parotid tumors. The performance of the radiomics model worsened when differentiating BPGT from MPGT using single- and double-sequence radiomics models due to the overlap in ADC values between WT and MPGT ( 23 ). Meanwhile, BPGT also showed signs of enhancement compared with MPGT ( 24 ).…”

Section: Discussionmentioning

confidence: 99%

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram

Gao

Song

et al. 2022

Front. Oncol.

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ObjectivesWe aimed to develop and validate radiomic nomograms to allow preoperative differentiation between benign- and malignant parotid gland tumors (BPGT and MPGT, respectively), as well as between pleomorphic adenomas (PAs) and Warthin tumors (WTs).Materials and MethodsThis retrospective study enrolled 183 parotid gland tumors (68 PAs, 62 WTs, and 53 MPGTs) and divided them into training (n = 128) and testing (n = 55) cohorts. In total, 2553 radiomics features were extracted from fat-saturated T2-weighted images, apparent diffusion coefficient maps, and contrast-enhanced T1-weighted images to construct single-, double-, and multi-sequence combined radiomics models, respectively. The radiomics score (Rad-score) was calculated using the best radiomics model and clinical features to develop the radiomics nomogram. The receiver operating characteristic curve and area under the curve (AUC) were used to assess these models, and their performances were compared using DeLong’s test. Calibration curves and decision curve analysis were used to assess the clinical usefulness of these models.ResultsThe multi-sequence combined radiomics model exhibited better differentiation performance (BPGT vs. MPGT, AUC=0.863; PA vs. MPGT, AUC=0.929; WT vs. MPGT, AUC=0.825; PA vs. WT, AUC=0.927) than the single- and double sequence radiomics models. The nomogram based on the multi-sequence combined radiomics model and clinical features attained an improved classification performance (BPGT vs. MPGT, AUC=0.907; PA vs. MPGT, AUC=0.961; WT vs. MPGT, AUC=0.879; PA vs. WT, AUC=0.967).ConclusionsRadiomics nomogram yielded excellent diagnostic performance in differentiating BPGT from MPGT, PA from MPGT, and PA from WT.

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Section: Discussionmentioning

confidence: 99%

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram

Gao

Song

et al. 2022

Front. Oncol.

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“…In our study, the 50th percentile of TBF was the most reliable parameter of all TBF histogram parameters when differentiating MTs from WTs and PAs because of receiver operating characteristic curve analysis, wherein MTs ( Figure 9 ) showed a higher 50th percentile of TBF than PAs ( Figure 10 ) and lower than WTs ( Figure 11 ) [ 37 ]. The optimal cutoff values were 20.06 mL/100 g/min for MTs and PAs and 78.02 mL/100 g/min for MTs and WTs [ 37 ]. The 90th percentile of TBF when differentiating WTs from PAs was the most reliable out of all TBF parameters, and WTs showed a higher 90th percentile of TBF than PAs [ 37 ].…”

Section: Clinical Applications Of 3d Tse Pcasl In the Head And Neckmentioning

confidence: 99%

“…Histogram analyses are considered to be strong and reliable quantitative surrogate markers of tumor heterogeneity [ 76 ]. As a result, the mean, and 50th, 75th, and 90th percentiles of TBF showed significant differences among all three tumor types [ 37 ]. In our study, the 50th percentile of TBF was the most reliable parameter of all TBF histogram parameters when differentiating MTs from WTs and PAs because of receiver operating characteristic curve analysis, wherein MTs ( Figure 9 ) showed a higher 50th percentile of TBF than PAs ( Figure 10 ) and lower than WTs ( Figure 11 ) [ 37 ].…”

Section: Clinical Applications Of 3d Tse Pcasl In the Head And Neckmentioning

confidence: 99%

“…As a result, the mean, and 50th, 75th, and 90th percentiles of TBF showed significant differences among all three tumor types [ 37 ]. In our study, the 50th percentile of TBF was the most reliable parameter of all TBF histogram parameters when differentiating MTs from WTs and PAs because of receiver operating characteristic curve analysis, wherein MTs ( Figure 9 ) showed a higher 50th percentile of TBF than PAs ( Figure 10 ) and lower than WTs ( Figure 11 ) [ 37 ]. The optimal cutoff values were 20.06 mL/100 g/min for MTs and PAs and 78.02 mL/100 g/min for MTs and WTs [ 37 ].…”

Section: Clinical Applications Of 3d Tse Pcasl In the Head And Neckmentioning

confidence: 99%

“…This is because alterations in blood-brain barrier permeability lead to errors in calculating hemodynamic parameters in DSC perfusion MRI if not corrected [ 11 ]. The usefulness of ASL techniques has been increasingly reported in brain lesions [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ], but with relatively limited reports on head and neck lesions [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. Here, we review the principle of ASL and its clinical usefulness, especially that of 3D pseudocontinuous ASL (pCASL), for evaluating head and neck entities.…”

Section: Introductionmentioning

confidence: 99%

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Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities

Tanaka

Umino

Maeda

et al. 2022

Cancers

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As functional magnetic resonance imaging, arterial spin labeling (ASL) techniques have been developed to provide quantitative tissue blood flow measurements, which can improve the performance of lesion diagnosis. ASL does not require contrast agents, thus, it can be applied to a variety of patients regardless of renal impairments and contrast agent allergic reactions. The clinical implementation of head and neck lesions is limited, although, in recent years, ASL has been increasingly utilized in brain lesions. Here, we review the development of the ASL techniques, including pseudocontinuous ASL (pCASL). We compare readout methods between three-dimensional (3D) turbo spin-echo and 2D echo planar pCASL for the clinical applications of pCASL to head and neck lesions. We demonstrate the clinical usefulness of 3D pCASL for diagnosing various entities, including inflammatory lesions, hypervascular lesions, and neoplasms; for evaluating squamous cell carcinoma (SCC) treatment responses, and for predicting SCC prognosis.

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A Combination of Amide Proton Transfer, Tumor Blood Flow, and Apparent Diffusion Coefficient Histogram Analysis Is Useful for Differentiating Malignant from Benign Intracranial Tumors in Young Patients: A Preliminary Study

Tanaka,

Maeda,

Nakayama

et al. 2024

Diagnostics

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Purpose: To evaluate the amide proton transfer (APT), tumor blood flow (TBF), and apparent diffusion coefficient (ADC) combined diagnostic value for differentiating intracranial malignant tumors (MTs) from benign tumors (BTs) in young patients, as defined by the 2021 World Health Organization classification of central nervous system tumors. Methods: Fifteen patients with intracranial MTs and 10 patients with BTs aged 0–30 years underwent MRI with APT, pseudocontinuous arterial spin labeling (pCASL), and diffusion-weighted imaging. All tumors were evaluated through the use of histogram analysis and the Mann–Whitney U test to compare 10 parameters for each sequence between the groups. The diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The APT maximum, mean, 10th, 25th, 50th, 75th, and 90th percentiles were significantly higher in MTs than in BTs; the TBF minimum (min) was significantly lower in MTs than in BTs; TBF kurtosis was significantly higher in MTs than in BTs; the ADC min, 10th, and 25th percentiles were significantly lower in MTs than in BTs (all p < 0.05). The APT 50th percentile (0.900), TBF min (0.813), and ADC min (0.900) had the highest area under the curve (AUC) values of the parameters in each sequence. The AUC for the combination of these three parameters was 0.933. Conclusions: The combination of APT, TBF, and ADC evaluated through histogram analysis may be useful for differentiating intracranial MTs from BTs in young patients.

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Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin’s tumors

Cited by 3 publications

References 15 publications

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram

Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities

A Combination of Amide Proton Transfer, Tumor Blood Flow, and Apparent Diffusion Coefficient Histogram Analysis Is Useful for Differentiating Malignant from Benign Intracranial Tumors in Young Patients: A Preliminary Study

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