High CT attenuation values relative to the brainstem may predict squamous cell carcinoma arising from inverted papilloma

Azuma, Sanami; Kikuta, Seishi; Yoshida, Masafumi; Ando, Mizuo; Kondo, Kenji; Yamasoba, Tatsuya

doi:10.1080/00016489.2019.1659515

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…IPs are related to the human papilloma virus, prone to recur after being surgically removed, and occasionally transform into a malignant tumor [ 3 ]. The percentage of malignant transformation to squamous cell carcinoma is 5–13% and the five-year survival rate after malignant transformation is less than 50% [ 4 ]. Because prognosis of IPs is worse than that of NPs, the preoperative differential diagnosis of these two diseases is of great importance for selecting the appropriate surgical methods and the prognosis of patients [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

Tai,

Han,

Choi

et al. 2024

BMC Med Inform Decis Mak

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Background Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm for computer-aided diagnosis of nasal endoscopic images, which may provide a more accurate clinical diagnosis before pathologic confirmation of the nasal masses. Methods By performing deep learning of nasal endoscope images, we evaluated our computer-aided diagnosis system’s assessment ability for nasal polyps and inverted papilloma and the feasibility of their clinical application. We used curriculum learning pre-trained with patches of nasal endoscopic images and full-sized images. The proposed model’s performance for classifying nasal polyps, inverted papilloma, and normal tissue was analyzed using five-fold cross-validation. Results The normal scores for our best-performing network were 0.9520 for recall, 0.7900 for precision, 0.8648 for F1-score, 0.97 for the area under the curve, and 0.8273 for accuracy. For nasal polyps, the best performance was 0.8162, 0.8496, 0.8409, 0.89, and 0.8273, respectively, for recall, precision, F1-score, area under the curve, and accuracy. Finally, for inverted papilloma, the best performance was obtained for recall, precision, F1-score, area under the curve, and accuracy values of 0.5172, 0.8125, 0.6122, 0.83, and 0.8273, respectively. Conclusion Although there were some misclassifications, the results of gradient-weighted class activation mapping were generally consistent with the areas under the curve determined by otolaryngologists. These results suggest that the convolutional neural network is highly reliable in resolving lesion locations in nasal endoscopic images.

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Section: Introductionmentioning

confidence: 99%

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

Tai,

Han,

Choi

et al. 2024

BMC Med Inform Decis Mak

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“…However, CT attenuation values can be affected by the settings used for image reconstruction. In previous studies, we established a method for measuring relative CT numbers in relation to brainstem values, and reported the usefulness of the measurement for the differential diagnosis of individual tumors ( 15 , 19 , 35 ). The measurement of relative CT numbers can be applied to inflammatory sinus diseases, and the evaluation of sinus ROIs can reveal the characteristics of the internal properties of sinuses.…”

Section: Discussionmentioning

confidence: 99%

“…The ability to define relative CT numbers in individual sinus diseases may provide meaningful information for differentiating neoplastic from inflammatory lesions within the nasal cavity. For example, the mean relative CT number of inverted papilloma is reported to be 1.3 ( 35 ), whereas that of SFB is considerably higher at 2.0. If specific relative CT numbers can be defined for various sinus diseases, it might be possible to broadly classify sinus diseases according to the differences in these relative CT numbers.…”

Section: Discussionmentioning

confidence: 99%

High CT Attenuation Values Relative to the Brainstem Predict Fungal Hyphae Within the Sinus

Kikuta

Han²,

Yoshihara³

et al. 2022

Front. Surg.

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ObjectivesThere is currently no established objective diagnostic indicator for the differentiation of sinus fungal ball (SFB) from unilateral nonfungal chronic sinusitis (UCRS). This study evaluated whether computed tomography (CT) attenuation values relative to those of the brainstem (relative CT number) are useful for differentiating SFB from UCRS.Materials and MethodsConsecutive patients who were pathologically diagnosed with SFB or UCRS between 2013 and 2021 were retrospectively identified. The relative CT numbers of region of interest (ROIs) within the sinuses were compared between the two patient groups. Factors with predictive power for differentiating SFBs from UCRSs were identified by uni/multivariable logistic regression analyses.ResultsOne hundred and eighty-three patients with unilateral chronic sinusitis were finally analyzed (SFB, 86 cases; UCRS, 97 cases). Regardless of the presence or absence of calcified lesions, the relative CT numbers in SFB were significantly higher than those in UCRS. ROIs showing high relative CT numbers were those where fungal hyphae were present. In the uni/multivariable logistic regression analysis, age (p < 0.001), relative CT number (p < 0.001), and calcification (p = 0.002) had predictive value for distinguishing SFB from UCRS. Within those cases not showing calcification, age (p = 0.004) and relative CT number (p < 0.001) were predictive factors for differentiating SFB from UCRS. A relative CT number >1.5 was significantly associated with SFB (sensitivity, 70%; specificity, 91%), with a significantly larger area under the receiver operating characteristics curve than age.ConclusionsHigh relative CT numbers within the sinus are strongly associated with the presence of fungal hyphae, and measurement of relative CT number is a powerful adjunctive diagnostic method for distinguishing between SFB and UCRS.

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High CT values relative to the brainstem differentiate inverted papillomas from nasal polyps

et al. 2021

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High CT attenuation values relative to the brainstem may predict squamous cell carcinoma arising from inverted papilloma

Cited by 3 publications

References 19 publications

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

High CT Attenuation Values Relative to the Brainstem Predict Fungal Hyphae Within the Sinus

High CT values relative to the brainstem differentiate inverted papillomas from nasal polyps

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