WPOI-5: Accurately Identified at Intraoperative Consultation and Predictive of Occult Cervical Metastases

Beute, John E.; Greenberg, Lily A.; Wein, Lauren; Kapustin, Danielle A.; Fan, Jia; Dowling, E.M.; Samankan, Shabnam; Matloob, Ammar; Xing, Monica H.; Modica, Ippolito; Chung, Daniel C.; Carroll, William R.; Rosenthal, Eben L.; Khan, Muhammad Zia; Chai, Raymond L.; Brandwein‐Weber, Margaret; Urken, Mark L.

doi:10.1007/s12105-023-01533-1

Head and Neck Pathol

2023

DOI: 10.1007/s12105-023-01533-1

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WPOI-5: Accurately Identified at Intraoperative Consultation and Predictive of Occult Cervical Metastases

John E. Beute

Lily A. Greenberg

Lauren Wein

et al.

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Cited by 3 publications

(2 citation statements)

References 35 publications

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“…The sensitivity of frozen sections for identifying WPOI-5 is only 73%. 9 We agree that US has its limitations due to observer dependencies and the inability of microscopic tumor nest assessment. However, important advantages of US are the real-time feedback to the surgeon intraoperatively, the ability to make images in multiple directions, the affordability, and the wide availability.…”

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confidence: 73%

Reply to Letter to the Editor: “Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study”

et al. 2023

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confidence: 73%

Reply to Letter to the Editor: “Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study”

et al. 2023

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“…Frozen section, despite its limitations, is highly specific for determining tumor margins and depth of invasion; added utility is its ability to determine WPOI including WPOI-5 intraoperatively. 11 It would be more practical to utilize other imaging modalities such as CECT or MRI along with imaging adjuncts such as vital staining or NBI in conjunction with frozen section to determine adequacy of intraoperative margins.…”

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confidence: 99%

Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study

et al. 2023

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Predicting lymph node recurrence in cT1‐2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists

Adachi,

Taki,

Kojima

et al. 2024

The Journal of Pathology CR

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Researchers have attempted to identify the factors involved in lymph node recurrence in cT1‐2N0 tongue squamous cell carcinoma (SCC). However, studies combining histopathological and clinicopathological information in prediction models are limited. We aimed to develop a highly accurate lymph node recurrence prediction model for clinical stage T1‐2, N0 (cT1‐2N0) tongue SCC by integrating histopathological artificial intelligence (AI) with clinicopathological information. A dataset from 148 patients with cT1‐2N0 tongue SCC was divided into training and test sets. The prediction models were constructed using AI‐extracted information from whole slide images (WSIs), human‐assessed clinicopathological information, and both combined. Weakly supervised learning and machine learning algorithms were used for WSIs and clinicopathological information, respectively. The combination model utilised both algorithms. Highly predictive patches from the model were analysed for histopathological features. In the test set, the areas under the receiver operating characteristic (ROC) curve for the model using WSI, clinicopathological information, and both combined were 0.826, 0.835, and 0.991, respectively. The highest area under the ROC curve was achieved with the model combining WSI and clinicopathological factors. Histopathological feature analysis showed that highly predicted patches extracted from recurrence cases exhibited significantly more tumour cells, inflammatory cells, and muscle content compared with non‐recurrence cases. Moreover, patches with mixed inflammatory cells, tumour cells, and muscle were significantly more prevalent in recurrence versus non‐recurrence cases. The model integrating AI‐extracted histopathological and human‐assessed clinicopathological information demonstrated high accuracy in predicting lymph node recurrence in patients with cT1‐2N0 tongue SCC.

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WPOI-5: Accurately Identified at Intraoperative Consultation and Predictive of Occult Cervical Metastases

Cited by 3 publications

References 35 publications

Reply to Letter to the Editor: “Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study”

Reply to Letter to the Editor: “Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study”

Ultrasound‐guided resection for squamous cell carcinoma of the buccal mucosa: A feasibility study

Predicting lymph node recurrence in cT1‐2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists

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