Accurate Intraoperative Diagnosis Research Articles

Fast intraoperative detection of primary CNS lymphoma and differentiation from common CNS tumors using stimulated Raman histology and deep learning.

Accurate intraoperative diagnosis is crucial for differentiating between primary CNS lymphoma (PCNSL) and other CNS entities, guiding surgical decision-making, but represents significant challenges due to overlapping histomorphological features, time constraints, and differing treatment strategies. We combined stimulated Raman histology (SRH) with deep learning to address this challenge. We imaged unprocessed, label-free tissue samples intraoperatively using a portable Raman scattering microscope, generating virtual H&E-like images within less than three minutes. We developed a deep learning pipeline called RapidLymphoma based on a self-supervised learning strategy to (1) detect PCNSL, (2) differentiate from other CNS entities, and (3) test the diagnostic performance in a prospective international multicenter cohort and two additional independent test cohorts. We trained on 54,000 SRH patch images sourced from surgical resections and stereotactic-guided biopsies, including various CNS tumor/non-tumor lesions. Training and test data were collected from four tertiary international medical centers. The final histopathological diagnosis served as ground-truth. In the prospective test cohort of PCNSL and non-PCNSL entities (n=160), RapidLymphoma achieved an overall balanced accuracy of 97.81% ±0.91, non-inferior to frozen section analysis in detecting PCNSL (100% vs. 78.94%). The additional test cohorts (n=420, n=59) reached balanced accuracy rates of 95.44% ±0.74 and 95.57% ±2.47 in differentiating IDH-wildtype diffuse gliomas and various brain metastasis from PCNSL. Visual heatmaps revealed RapidLymphoma's capabilities to detect class-specific histomorphological key features. RapidLymphoma is valid and reliable in detecting PCNSL and differentiating from other CNS entities within three minutes, as well as visual feedback in an intraoperative setting. This leads to fast clinical decision-making and further treatment strategy planning.

Impact of Infrared Indocyanine Green Fluorescence imaging-guided Laparoscopic Hepatectomy on Securing the Resection Margin for Colorectal Liver Metastasis.

Laparoscopic hepatectomy for colorectal liver metastases (CRLM) is performed worldwide. However, owing to a lack of palpatory information and difficulties associated with accurate intraoperative ultrasonographic diagnosis, the tumor may be exposed at the hepatic transection margin. This study aimed to investigate the pathological significance of near-infrared (NIR) fluorescence imaging with indocyanine green (ICG)-guided laparoscopic hepatectomy and determine its usefulness in securing the resection margin for CRLMs. Fifty-nine patients who underwent laparoscopic hepatectomy for CRLM using NIR fluorescence imaging between February 2017 and June 2021 at Sapporo Medical University Hospital were included. Generally, all patients received intravenous ICG (2.5mg/body) as a fluorescence agent 1 to 2 days before surgery. During the surgical procedure, real-time NIR fluorescence imaging was repeatedly performed to assess the surgical margins. Of the 94 tumors in 59 patients, laparoscopic NIR fluorescence imaging identified 56 tumors (59.6%) on the liver surface. Pathological analysis indicated clear margins in 96.6% (57/59) of patients. Examination of paraffin-embedded sections, which were successful in only 20 of 94 cases (21.3%), revealed that there were no tumor cells positive for NIR fluorescence, and the median distance of the continuous fluorescent signal from the tumor margin was 1.074mm. We demonstrated a high R0 rate using NIR fluorescence-guided hepatectomy. This technique has the potential to improve intraoperative tumor identification and tumor margin assurance and reduce the rate of positive resection margins in patients with CRLMs.

Common issues and solutions in intraoperative frozen pathological diagnosis of small pulmonary nodules

With the development of chest CT screening, surgically resected lung tumors have shifted from predominantly large masses to predominantly small nodules. The intraoperative frozen diagnosis of pulmonary small nodules faces many challenges, such as the accurate understanding about the concepts of adenocarcinoma in situ, minimally invasive adenocarcinoma and lepidic adenocarcinoma, as well as their differential diagnosis with small size invasive adenocarcinoma, benign tumors (such as bronchiolar adenoma, sclerosing pneumocytoma, etc.), metastatic tumors and so on. This study summarizes some common problems encountered in the intraoperative frozen diagnosis of small pulmonary nodules in daily practice, focusing on the diagnosis and differential diagnosis of adenocarcinoma, in order to make the accurate intraoperative frozen diagnosis of small pulmonary nodules and diminish misdiagnosis.

Advancements in Neurosurgical Intraoperative Histology.

Despite their relatively low incidence globally, central nervous system (CNS) tumors remain amongst the most lethal cancers, with only a few other malignancies surpassing them in 5-year mortality rates. Treatment decisions for brain tumors heavily rely on histopathological analysis, particularly intraoperatively, to guide surgical interventions and optimize patient outcomes. Frozen sectioning has emerged as a vital intraoperative technique, allowing for highly accurate, rapid analysis of tissue samples, although it poses challenges regarding interpretive errors and tissue distortion. Raman histology, based on Raman spectroscopy, has shown great promise in providing label-free, molecular information for accurate intraoperative diagnosis, aiding in tumor resection and the identification of neurodegenerative disease. Techniques including Stimulated Raman Scattering (SRS), Coherent Anti-Stokes Raman Scattering (CARS), Surface-Enhanced Raman Scattering (SERS), and Tip-Enhanced Raman Scattering (TERS) have profoundly enhanced the speed and resolution of Raman imaging. Similarly, Confocal Laser Endomicroscopy (CLE) allows for real-time imaging and the rapid intraoperative histologic evaluation of specimens. While CLE is primarily utilized in gastrointestinal procedures, its application in neurosurgery is promising, particularly in the context of gliomas and meningiomas. This review focuses on discussing the immense progress in intraoperative histology within neurosurgery and provides insight into the impact of these advancements on enhancing patient outcomes.

A Contemporary Approach to Intraoperative Evaluation in Neuropathology.

Although the basic principles of intraoperative diagnosis in surgical neuropathology have not changed in the last century, the last several decades have seen dramatic changes in tumor classification, terminology, molecular classification, and modalities used for intraoperative diagnosis. As many neuropathologic intraoperative diagnoses are performed by general surgical pathologists, awareness of these recent changes is important for the most accurate intraoperative diagnosis. To describe recent changes in the practice of intraoperative surgical neuropathology, with an emphasis on new entities, tumor classification, and anticipated ancillary tests, including molecular testing. The sources for this review include the fifth edition of the World Health Organization Classification of Tumours of the Central Nervous System, primary literature on intraoperative diagnosis and newly described tumor entities, and the authors' clinical experience. A significant majority of neuropathologic diagnoses require ancillary testing, including molecular analysis, for appropriate classification. Therefore, the primary goal for any neurosurgical intraoperative diagnosis is the identification of diagnostic tissue and the preservation of the appropriate tissue for molecular testing. The intraoperative pathologist should seek to place a tumor in the most accurate diagnostic category possible, but specific diagnosis at the time of an intraoperative diagnosis is often not possible. Many entities have seen adjustments to grading criteria, including the incorporation of molecular features into grading. Awareness of these changes can help to avoid overgrading or undergrading at the time of intraoperative evaluation.

Evaluation of Intraoperative Imprint Cytology and Frozen Section in Determination of Tumor and Tumor Margins

Intraoperative pathology consultation is often required for guiding immediate surgical decisions so as to limit the extent of surgery. Accurate intraoperative diagnosis is crucial. The present study evaluates the accuracy of imprint cytology and frozen section in intraoperative consultation for tumor and tumor margins. A total of 157 tissue specimens for type of lesion, tumor margins and lymphnode metastasis were included. Imprint was taken by holding the tissue bit with forceps and touching it onto a clean glass slide without undue pressure or lateral movements. They were stained with Papanicolaou, May-Grunwald Giemsa and Hematoxylin and Eosin [H&E] stains. The tissue bits taken were then embedded and frozen. Section cutting was done using cryostat and were stained using rapid Haematoxylin and Eosin stain, and examined under a light microscope. Later, the tissue was fixed in 10% neutral buffered formalin for routine histopathological processing then stained with H&E stain. Based on the histological diagnosis, the accuracy of intraoperative imprint cytology and frozen section were evaluated. A total of 157 tissue specimens were received during the study period, which were classified into specimens for type of tumor [145 specimens], tumor margins [54 specimens] and lymph node metastasis [7 specimens] for analysis. The overall diagnostic accuracy of imprint cytology in detection of type of tumor was 97.9% and that of frozen section was 98.6%. It can be concluded that imprint cytology typically provides the accurate diagnosis without the need for a sophisticated machine such as cryostat which is required for frozen section analysis.

Intraoperative cytological diagnosis of brain tumours: Apreliminary study using a deep learning model.

Intraoperative pathological diagnosis of central nervous system (CNS) tumours is essential to planning patient management in neuro-oncology. Frozen section slides and cytological preparations provide architectural and cellular information that is analysed by pathologists to reach an intraoperative diagnosis. Progress in the fields of artificial intelligence and machine learning means that AI systems have significant potential for the provision of highly accurate real-time diagnosis in cytopathology. To investigate the efficiency of machine-learning models in the intraoperative cytological diagnosis of CNS tumours. We trained a deep neural network to classify biopsy material for intraoperative tissue diagnosis of four major brain lesions. Overall, 205 medical images were obtained from squash smear slides of histologically correlated cases, with 18 high-grade and 11 low-grade gliomas, 17 metastatic carcinomas, and 9 non-neoplastic pathological brain tissue samples. The neural network model was trained and evaluated using 5-fold cross-validation. The model achieved 95% and 97% diagnostic accuracy in the patch-level classification and patient-level classification tasks, respectively. We conclude that deep learning-based classification of cytological preparations may be a promising complementary method for the rapid and accurate intraoperative diagnosis of CNS tumours.

Tissue Imprinting on 2D Nanoflakes-Capped Silicon Nanowires for Lipidomic Mass Spectrometry Imaging and Cancer Diagnosis.

Spatially resolved tissue lipidomics is essential for accurate intraoperative and postoperative cancer diagnosis by revealing molecular information in the tumor microenvironment. Matrix-free laser desorption ionization mass spectrometry imaging (LDI-MSI) is an emerging attractive technology for label-free visualization of metabolites distributions in biological specimens. However, the development of LDI-MSI technology that could conveniently and authentically reveal molecular distribution on tissue samples is still a challenge. Herein, we present a tissue imprinting technology by retaining tissue lipids on 2D nanoflakes-capped silicon nanowires (SiNWs) for further mass spectrometry imaging and cancer diagnosis. The 2D nanoflakes were prepared by liquid exfoliation of molybdenum disulfide (MoS2) with nitrogen-doped graphene quantum dots (NGQDs), which serve as both intercalation agent and dispersant. The obtained NGQD@MoS2 nanoflakes were then decorated on the tip of vertical SiNWs, forming a hybrid NGQD@MoS2/SiNWs nanostructure, which display excellent lipid extraction ability, enhanced LDI efficiency and molecule imaging capability. The peak number and total ion intensity of different lipids species on animal lung tissues obtained by tissue imprinting LDI-MSI on NGQD@MoS2/SiNWs were ∼4-5 times greater than those on SiNWs substrate. As a proof-of-concept demonstration, the NGQD@MoS2/SiNWs nanostructure was further applied to visualize phospholipids on sliced non small cell lung cancer (NSCLC) tissue along with the adjacent normal tissue. On the basis of selected feature lipids and machine learning algorithm, a prediction model was constructed to discriminate NSCLC tissues from the adjacent normal tissues with an accuracy of 100% for the discovery cohort and 91.7% for the independent validation cohort.

Scoring system for intraoperative diagnosis of intracranial schwannoma by squash cytology.

To assess the utility of a newly developed squash cytology (SC)-based scoring system for accurate intraoperative diagnosis of schwannoma. We first compared SC-based and frozen section (FS) diagnoses with final pathological diagnoses of schwannoma (16 cases), meningioma (39 cases) and low-grade astrocytoma (16 cases). Then, by logistic regression modeling, we identified features of SC preparations that were independently predictive of schwannoma. To develop a diagnostic scoring system, we assigned one point to each feature, and performed receiver operating characteristic analysis to determine the score cut-off value that was most discriminatory for differentiating schwannoma from the other tumour types. We then compared accuracy, sensitivity, and specificity of diagnosis before and after the application of the scoring system. Overall diagnostic concordance rates for SC and FS were almost the same, at 73.2% (52/71) and 77.5% (55/71 cases), respectively. Of the 16 SC features entered into the analysis, the following nine were found to independently predict schwannoma, and were thus incorporated into the scoring system: smooth cluster margins, few or no isolated tumour cells, fibrillary stroma, spindle-shaped nuclei, parallel arrangement of stroma, parallel arrangement of nuclei, presence of anisonucleosis, absence of nucleoli, and hemosiderin deposition. A cut-off score of four items yielded the best sensitivity, specificity and predictive values for prediction of schwannoma. Use of the scoring system improved accuracy of intraoperative diagnosis from 80.3% to 94.4%, sensitivity from 56.2% to 93.8%, and specificity from 87.3% to 94.5%. Our proposed SC-based scoring system will increase accuracy of intraoperative diagnosis of schwannoma vs non-schwannoma tumours.

A comparison of intra-operative diagnosis to histopathological diagnosis of acute appendicitis in paediatric and adult cohorts: an analysis of over 1000 patients

BackgroundAppendicitis is a common general surgical emergency. The role of removing a normal appendix is debated. However, this relies on accurate intra-operative diagnosis of a normal appendix by the operating surgeon. This study aimed to compare surgeon’s intra-operative assessment to final histological result acute appendicitis in paediatric and adult patients.MethodsAll patients who underwent appendicectomy over a 14-year period in a general surgical department were identified using the prospective Lothian Surgical Audit system and pathology reports retrieved to identify final histological diagnosis. Open appendicectomy was selected to examine, as the routine practise at our institution is to remove a normal appendix at open appendicectomy.ResultsA total of 1035 open appendicectomies were performed for clinically suspected appendicitis. Sensitivity of intra-operative diagnosis of appendicitis with operating surgeon was high at 95.13% with no difference between trainee and consultant surgeon or between adult and paediatric cases. Specificity of intra-operative diagnosis was lower in the paediatric group (32.58%) than in the adult group (40.58%). Women had a higher rate of negative appendicectomy than men.ConclusionThe results of this study highlight some discordance between histological evidence of acute appendicitis and intra-operative impression. Therefore other clinical variables and not just macroscopic appearance alone should be used when deciding to perform appendicectomy.

Machine Learning for Accurate Intraoperative Pediatric Middle Ear Effusion Diagnosis.

Misdiagnosis of acute and chronic otitis media in children can result in significant consequences from either undertreatment or overtreatment. Our objective was to develop and train an artificial intelligence algorithm to accurately predict the presence of middle ear effusion in pediatric patients presenting to the operating room for myringotomy and tube placement. We trained a neural network to classify images as " normal" (no effusion) or "abnormal" (effusion present) using tympanic membrane images from children taken to the operating room with the intent of performing myringotomy and possible tube placement for recurrent acute otitis media or otitis media with effusion. Model performance was tested on held-out cases and fivefold cross-validation. The mean training time for the neural network model was 76.0 (SD ± 0.01) seconds. Our model approach achieved a mean image classification accuracy of 83.8% (95% confidence interval [CI]: 82.7-84.8). In support of this classification accuracy, the model produced an area under the receiver operating characteristic curve performance of 0.93 (95% CI: 0.91-0.94) and F1-score of 0.80 (95% CI: 0.77-0.82). Artificial intelligence-assisted diagnosis of acute or chronic otitis media in children may generate value for patients, families, and the health care system by improving point-of-care diagnostic accuracy. With a small training data set composed of intraoperative images obtained at time of tympanostomy tube insertion, our neural network was accurate in predicting the presence of a middle ear effusion in pediatric ear cases. This diagnostic accuracy performance is considerably higher than human-expert otoscopy-based diagnostic performance reported in previous studies.

Laparoscopic assisted hydrocelectomy of the canal of Nuck: a case report

BackgroundAccurate diagnosis and complete resection of hydrocele of canal of Nuck (HCN) is still a challenge for surgeons.Case presentationA 28-year-old woman presented with a suspected inguinal hernia due to swelling in her right groin and was introduced for surgical treatment. Computed tomography scan revealed local cyst formation in the right groin and eliminated intestinal incarceration. In order to further confirm the diagnosis, we used laparoscopic exploration; after excluding a combined hernia, HCN was surgically removed using a conventional anterior peritoneal approach and a mesh patch repair was not needed. Postoperative pathology results showed no endometriosis or malignancy.ConclusionsLaparoscopic assisted anterior approach provides both an accurate intraoperative diagnosis and a quick complete resection of HCN; it is the preferred treatment for women of childbearing age with pure HCN.

Use of Intraoperative Squash Smear in Diagnosis of Central Nervous System Tumors with its Histopathological Correlation

Introduction: Squash smear preparation is a simple and rapid methodology for fairly accurateintraoperative diagnosis of CNS space occupying lesions. It has emerged as an important indispensibleintraoperative diagnostic aid guiding the neurosurgeon and helping in better management of patients.The current study was undertaken to study CNS tumors by squash cytology and correlating them withhistological diagnosis.Aims: To evaluate the accuracy and utility of intraoperative squash smear cytology in the evaluationof CNS tumors.Materials and Methods: A retrospective study was conducted in the Department of Pathology in atertiary care hospital from November 2019 to November 2020. A total of 74 consecutive cases wereincluded. Squash smears were prepared from the intraoperative samples and biopsy samples wereprocessed regularly. Hematoxylin and eosin staining was done and squash smear cytology results werecorrelated with the final histopathological diagnosis.Results: Out of the 74 cases studied, histopathological diagnosis was compatible with the cytologicaldiagnosis in 56 cases, pertaining to 75.67% accuracy. Remaining 18 cases showed partial discrepancyas in tumor grading or complete discrepancy.Conclusion: This study shows a high degree of cytohistological correlation. With clinicoradiologicalcorrelation, squash smear cytology could be the preferred method for intraoperative diagnosis of CNStumors.

Diagnostic utility of imprint cytology of ovarian neoplasm: A cyto-histological comparison

Background: Intra-operative cytology (IOC) is a method of intra-operative pathological evaluation of cytology smears. The most important indication for IOC is to establish or confirm diagnosis rapidly. Other advantages of IOC are its simple, inexpensive, excellent preservation of cellular details, with no loss of tissues as occurs with cryostat sections and adequacy of surgical margins. Frozen sections are well established method for providing rapid and accurate intra-operative diagnosis. Objective: To evaluate the diagnostic utility of imprint cytology and assess the accuracy of imprint cytology with histopathological diagnosis obtained from ovarian neoplasm. Materials and Methods: Imprint smears were prepared immediately from all the ovariotomy specimens. The specimens were sent for histopathology along with prepared smears to categorize as benign, borderline and malignant. Sensitivity, specificity and accuracy were assessed. Results : Among the 99 specimens studied, 80 were benign, 9 borderline and 10 malignancy according to histopathology. We found that sensitivity, specificity, for benign lesions were 100%, 42.1% and for malignant lesions were 80%, 91.9% respectively. The overall accuracy was 89%. Conclusion : Imprint smear of ovarian neoplasm gives a rapid diagnosis with 89% accuracy against histopathology with added advantages. Imprint cytology is an adjunct to frozen section for providing an intra-operative diagnosis; however, in resource poor settings, it can be used as a stand-alone method for aiding intra-operative decision making. Keywords: Imprint smear, Histopathology, Ovarian neoplasm, Intraoperative cytology.

Essential knowledge, precautions and preventive methods required for reaching an accurate intraoperative frozen diagnosis of gastrointestinal cases

Intraoperative frozen consultation is one of the central components of modern pathology, with a primary purpose to provide on-the-spot diagnosis; a decision that instantly impacts and alters the course of the surgical procedure and patient management. Frozen section diagnosis is a critical and demanding procedure including: gross inspection, specimen orientation, sampling, embedding, freezing, sectioning and staining, followed by microscopic interpretation that must be relayed to the operating team swiftly and precisely. A solid knowledge of basic histopathology, good communication, fine-tuned histotechnology and instruments are essential components for an ideally executed intraoperative consultation. Reaching an accurate frozen section diagnosis requires the pathologists to be fully aware of a spectrum of traps and pitfalls. Some basic rules and key components of insuring a correct frozen diagnosis are discussed in this review.

Stimulated Raman histology for rapid and accurate intraoperative diagnosis of CNS tumors: prospective blinded study.

In some centers where brain tumor surgery is performed, the opportunity for expert intraoperative neuropathology consultation is lacking. Consequently, surgeons may not have access to the highest quality diagnostic histological data to inform surgical decision-making. Stimulated Raman histology (SRH) is a novel technology that allows for rapid acquisition of diagnostic histological images at the bedside. The authors performed a prospective blinded cohort study of 82 consecutive patients undergoing resection of CNS tumors to compare diagnostic time and accuracy of SRH simulation to the gold standard, i.e., frozen and permanent section diagnosis. Diagnostic accuracy was determined by concordance of SRH-simulated intraoperative pathology consultation with a blinded board-certified neuropathologist, with official frozen section and permanent section results. Overall, the mean time to diagnosis was 30.5 ± 13.2 minutes faster (p < 0.0001) for SRH simulation than for frozen section, with similar diagnostic correlation: 91.5% (κ = 0.834, p < 0.0001) between SRH simulation and permanent section, and 91.5% between frozen and permanent section (κ = 0.894, p < 0.0001). SRH-simulated intraoperative pathology consultation was significantly faster and equally accurate as frozen section.

Diagnostic Accuracy of Cytology Smear and Frozen Section in Glioma

Glioma is the commonest primary intracranial tumour and it has been the most predominant tumour in many studies. It accounts for 24.7% of all primary brain tumour and 74.6% of malignant brain tumour. Intraoperative diagnosis plays a crucial role in determining the patient management. Frozen section has been the established technique in providing rapid and accurate intraoperative diagnosis. However due to some disadvantages like ice crystal artefact, high expenditure and requirement of skilled technician, there is increase usage of cytology smear either replacing or supplementing frozen section technique. The aim of this review is to determine the diagnostic accuracy of cytology smear and frozen section in glioma and to see whether there is significant difference between those techniques. The overall diagnostic accuracy for frozen section in glioma ranging from 78.4% to 95% while for cytology smear, the diagnostic accuracy ranging from 50% to 100%. Based on certain literatures, no statistically difference was observed in diagnostic accuracy of cytology smear and frozen section. Thus, cytology smear provides an alternative method in establishing intraoperative diagnosis. Both cytology smear and frozen section are complimentary to each other. It is recommended to use both techniques to improve the diagnostic accuracy in addition with adequate knowledge, clinical history, neuroimaging and intraoperative findings.

Endoscopic revision stapes surgery: surgical findings and outcomes.

Hearing results in revision stapes surgery are largely dependent on the cause of failure, and an appropriate intraoperative diagnosis is crucial for a good outcome. The endoscope allows a detailed exploration of the middle ear cavity and is particularly suitable for the intraoperative assessment of the cause of failure of previous stapes surgery. The present study analyzes the intraoperative findings and outcomes of patients undergoing revision stapes surgery through the endoscopic transcanal approach. Surgical videos and charts of patients undergoing endoscopic revision stapes surgery from 2008 to 2017 were reviewed retrospectively. Intraoperative findings, difficulties encountered during the surgery and hearing outcomes were evaluated. The feasibility of each surgical step with the totally endoscopic approach or the need for bimanual manipulation was assessed as well. Thirty-four patients were included in the study. The endoscopic transcanal approach allowed a detailed exploration of the middle ear cavity and an accurate intraoperative diagnosis and management of the different causes of failure of the previous surgery. 89.8% of patients achieved an air-bone gap for the PTA ≤ 20 dBHL and 68.5% a closure of the air-bone gap. The present study showed that totally endoscopic revision stapes surgery is a feasible, safe and effective procedure. The transcanal endoscopic approach allowed an accurate intraoperative diagnosis without the need for an endaural or retroauricular approach, with the possibility to manage all the possible intraoperative scenarios. A larger series with a longer follow-up is needed to validate the results.

Comparative Diagnostic Accuracy of Frozen Sections and Scrape Cytology in Ovarian Neoplasms.

Introduction:Frozen section is a well-established method for providing rapid and accurate intraoperative diagnosis. Cytological techniques such as imprint and scrape cytology and intraoperative fine-needle aspiration cytology are conventionally considered as less accurate alternatives to the frozen section. However, inexperienced hands, scrape cytology has been shown to provide remarkably accurate results comparable to the frozen section.Aims:The aims of this study are as follows: (1) To evaluate the diagnostic utility of scrape cytology in the intraoperative diagnosis of ovarian neoplasms. (2) To compare the accuracy of scrape cytology with frozen section in the intraoperative diagnosis of ovarian neoplasms.Materials and Methods:This study was conducted over a period of 3 years from 2014 to 2017. A total of 60 cases of clinically and radiologically suspected ovarian masses were included in the study. Thirty cases were evaluated using frozen section and 30 cases using scrape cytology alone. The intraoperative diagnosis of both was compared with the final paraffin section histopathology.Results:The diagnostic accuracy of scrape cytology and frozen section in determining a benign and malignant nature of neoplasm was 96% and 100%, respectively. In 93% of cases, scrape cytology enabled correct categorization of the tumor as surface epithelial, germ-cell tumor, sex cord-stromal, or others.Conclusion:Scrape cytology is an adjunct to frozen section for providing an intraoperative diagnosis; however, in resource-poor settings, it can be used as a stand-alone method for aiding intraoperative decision-making.

Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology

Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, artificial intelligence (AI) with deep learning technology has shown bright future in medicine. We hypothesize that AI with deep learning technology could help IOPD, with a computer trained by a dataset of intraoperative lesion images. Evidences supporting our hypothesis included the successful use of AI with deep learning technology in diagnosing skin cancer, and the developed method of deep-learning algorithm. Large size of the training dataset is critical to increase the diagnostic accuracy. The performance of the trained machine could be tested by new images before clinical use. Real-time diagnosis, easy to use and potential high accuracy were the advantages of AI for IOPD. In sum, AI with deep learning technology is a promising method to help rapid and accurate IOPD.