We report a rare case of thyroid diffuse large B-cell lymphoma with a BRAF V600E mutation, which mimics poorly differentiated thyroid cancer in fine needle aspiration cytology.

Breast cancer is one of the paramount causes of new cancer cases worldwide annually. It is a malignant neoplasm that develops in the breast cells. The early screening of this disease is essential to prevent its metastasis. A mammogram X-ray image is the most common screening tool practiced currently when this disease is suspected; all the breast lesions identified are not malignant. The invasive fine needle aspiration (FNA) of a breast mass sample is the secondary screening tool to clinically examine cancerous lesions. The visual image analysis of the stained aspirated sample imposes a challenge for the cytologist to identify the malignant cells accurately. The formulation of an artificial intelligence-based objective technique on top of the introspective assessment is essential to avoid misdiagnosis. This paper addresses several artificial intelligence (AI)-based techniques to diagnose breast cancer from the nuclear features of FNA samples. The Wisconsin Breast Cancer dataset (WBCD) from the UCI machine learning repository is applied for this investigation. Significant statistical parameters are measured to evaluate the performance of the proposed techniques. The best detection accuracy of 98.10% is achieved with a two-layer feed-forward neural network (FFNN). Finally, the developed algorithm\'s performance is compared with some state-of-the-art works in the literature.

Soft tissue neoplasms pose many diagnostic challenges on fine-needle aspiration (FNA), owing largely to their rarity, large number of entities, and histologic diversity. Advances in ancillary testing now allow detection of the characteristic immunophenotypes and molecular alterations for many neoplasms and include reliable surrogate immunohistochemical markers for underlying molecular events that are highly efficient in small biopsies. A morphology-based framework is recommended to guide appropriate differentials and judicious selection of ancillary tests for small biopsies. The accurate diagnosis of soft tissue tumors is crucial for patient management and prognostication, with many potential implications in this era of precision medicine.

RAS p.Q61R is the most prevalent hot-spot mutation in RAS and RAS-like mutated thyroid nodules. A few studies evaluated RAS p.Q61R by immunohistochemistry (RASQ61R-IHC). We performed a retrospective study of an institutional cohort of 150 patients with 217 thyroid lesions tested for RASQ61R-IHC, including clinical, cytologic and molecular data. RASQ61R-IHC was performed on 217 nodules (18% positive, 80% negative, and 2% equivocal). RAS p.Q61R was identified in 76% (n = 42), followed by RAS p.Q61K (15%; n = 8), and RAS p.G13R (5%; n = 3). NRAS p.Q61R isoform was the most common (44%; n = 15), followed by NRAS p.Q61K (17%; n = 6), KRAS p.Q61R (12%; n = 4), HRAS p.Q61R (12%; n = 4), HRAS p.Q61K (6%; n = 2), HRAS p.G13R (6%; n = 2), and NRAS p.G13R (3%; n = 1). RASQ61R-IHC was positive in 47% of noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP; 17/36), 22% of follicular thyroid carcinomas (FTC; 5/23), 10% of follicular thyroid adenomas (FTA; 4/40), and 8% of papillary thyroid carcinomas (PTC; 9/112). Of PTC studied (n = 112), invasive encapsulated follicular variant (IEFVPTC; n = 16) was the only subtype with positive RASQ61R-IHC (56%; 9/16). Overall, 31% of RAS-mutated nodules were carcinomas (17/54); and of the carcinomas, 94% (16/17) were low-risk per American Thyroid Associated (ATA) criteria, with only a single case (6%; 1/17) considered ATA high-risk. No RAS-mutated tumors recurred, and none showed local or distant metastasis (with a follow-up of 0-10 months). We found that most RAS-mutated tumors are low-grade neoplasms. RASQ61R-IHC is a quick, cost-effective, and reliable way to detect RAS p.Q61R in follicular-patterned thyroid neoplasia and, when malignant, guide surveillance.

OBJECTIVE: To validate the performance of a recently created risk stratification system (RSS) for thyroid nodules on ultrasound, the Artificial Intelligence Thyroid Imaging Reporting and Data System (AI TI-RADS).
METHODS: 378 thyroid nodules from 320 patients were included in this retrospective evaluation. All nodules had ultrasound images and had undergone fine needle aspiration (FNA). 147 nodules were Bethesda V or VI (suspicious or diagnostic for malignancy), and 231 were Bethesda II (benign). Three radiologists assigned features according to the AI TI-RADS lexicon (same categories and features as the American College of Radiology TI-RADS) to each nodule based on ultrasound images. FNA recommendations using AI TI-RADS and ACR TI-RADS were then compared and sensitivity and specificity for each RSS were calculated.
RESULTS: Across three readers, mean sensitivity of AI TI-RADS was lower than ACR TI-RADS (0.69 vs 0.72, p < 0.02), while mean specificity was higher (0.40 vs 0.37, p < 0.02). Overall total number of points assigned by all three readers decreased slightly when using AI TI-RADS (5,998 for AI TI-RADS vs 6,015 for ACR TI-RADS), including more values of 0 to several features.
CONCLUSIONS: AI TI-RADS performed similarly to ACR TI-RADS while eliminating point assignments for many features, allowing for simplification of future TI-RADS versions.

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BACKGROUND: There are conflicting results on whether the presence of oncocytes modifies the risk of neoplasm (RON) or malignancy (ROM) for thyroid fine-needle aspirates (FNAs): Atypia of undetermined significance AUS and Follicular Neoplasm, FN, or Oncocytic Neoplasm, ON. To our knowledge, the effect of non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) has not yet been studied. We compared RON and ROM between follicular type AUS (AUS-FT) and oncocytic type AUS (AUS-OT) and between FN and ON.
METHODS: We retrospectively analysed all thyroid FNAs with the diagnostic category of AUS-other or Neoplasm (2005-2015). AUS-FT had predominance of microfollicles and AUS-OT had predominance of oncocytes. Histology follow-up was then reviewed and RON, ROM was then calculated and compared (significant at p < 0.05). We repeated the search for 2018 to evaluate for NIFTP effect.
RESULTS: Pre-NIFTP, 859/5063 cases (17%) were AUS-FT, AUS-OT, FN, and ON. Histology follow-up was available for 297 cases (35%). RON was 83/183 (45%) for AUS-FT, 35/76 (46%) for AUS-OT, 15/25 (60%) for FN and 11/13 (85%) for ON. Post-NIFTP, RON was 11/31 (35%) for AUS-FT, 5/8 (63%) for AUS-OT, 1/2 (50%) for FN and 4/5 (80%) for ON. For both periods, RON, ROM of AUS-FT was not significantly different than AUS-OT, and no significant differences were observed comparing FN and ON.
CONCLUSIONS: The predominance of oncocytes does not modify the implied RON, ROM for categories of AUS or FN\\ON, even after the adoption of NIFTP.

Fine-needle aspiration (FNA) guided by ultrasound (US) has emerged as a highly precise diagnostic method for managing thyroid nodules, significantly diminishing unnecessary surgeries. The effectiveness of US-guided FNA is high when a single specialist performs the FNA procedure and the microscopy. This paradigm has paved the way for the evolution of interventional cytopathology, a specialist with a pivotal role in the preoperative diagnostic process, encompassing patient history review, clinical examination, FNA execution under US guidance, preparation, and microscopic interpretation of cytological samples. As the landscape of precision medicine unfolds, molecular testing assumes greater importance in thyroid cytopathology, particularly in refining the risk of malignancy for indeterminate nodules. The updated Bethesda classification system underscores the clinical significance of molecular tests, emphasizing their role in refining diagnostic accuracy. With this evolving landscape, interventional cytopathologists must adapt by acquiring expertise in molecular technologies and addressing ongoing challenges in workflow harmonization and optimization. This paper delves into our decade-long experience as interventional cytopathologists, focusing on recent endeavours to ensure adequate samples not only for microscopic diagnosis but also for molecular testing. Additionally, here we review the challenges of integrating next-generation sequencing (NGS) technology into clinical practice, highlighting the importance of integrating clinically meaningful molecular data into comprehensive molecular cytology reports.

BACKGROUND: The efficacy of endoscopic ultrasound-guided liver biopsy (EUS-LB) compared to percutaneous liver biopsy (PC-LB) remains uncertain.
METHODS: Our data consist of randomized controlled trials (RCTs) comparing EUS-LB to PC-LB, found through a literature search via PubMed/Medline and Embase. The primary outcome was sample adequacy, whereas secondary outcomes were longest and total lengths of tissue specimens, diagnostic accuracy, and number of complete portal tracts (CPTs).
RESULTS: Sample adequacy did not significantly differ between EUS-LB and PC-LB (risk ratio [RR] 1.18; 95% confidence interval [CI] 0.58-2.38; p = 0.65), with very low evidence quality and inadequate sample size as per trial sequential analysis (TSA). The two techniques were equivalent with respect to diagnostic accuracy (RR: 1; CI: 0.95-1.05; p = 0.88), mean number of complete portal tracts (mean difference: 2.29, -4.08 to 8.66; p = 0.48), and total specimen length (mean difference: -0.51, -20.92 to 19.9; p = 0.96). The mean maximum specimen length was significantly longer in the PC-LB group (mean difference: -3.11, -5.51 to -0.71; p = 0.01), and TSA showed that the required information size was reached.
CONCLUSIONS: EUS-LB and PC-LB are comparable in terms of diagnostic performance although PC-LB provides longer non-fragmented specimens.

With the 12th highest incidence and a common late diagnostic at advanced stages, neoadjuvant therapies for pancreatic cancer are important, but they require a confirmed diagnosis. Being a diagnostic standard, the clarification of the clinical relevance of needle gauges is needed, as larger ones may retrieve more tissue for diagnostics, but may also increase the risk of complications. We performed a meta-analysis to compare the efficiency of the most commonly used 22-G and 25-G needles for EUS guided biopsy in solid pancreatic lesions. The MEDLINE (via PubMed), Embase, Cochrane (CENTRAL), and Scopus databases were searched with \"EUS\", \"needle\", \"FNA\", \"pancreas\", \"prospective\", \"22G\", and \"25G\" keywords. Mixed effects were assessed in the model, with a mean of 86% and a 95% confidence interval. Fourteen prospective studies that compared the efficiency of 22-G and 25-G biopsy needles in 508 and 524 lesions, respectively, were analyzed, along with 332 specimens biopsied using both needle sizes. The groups did not significantly differ in the outcomes. A low degree of heterogeneity was observed overall, except for specimen adequacy. Moreover, 22-G and 25-G needles have comparable safety and efficacy for focal pancreatic lesion biopsies without a high risk of complications.