Patterns Of Recurrence Research Articles

Postoperative Outcome And Complications Among Peritoneal Carcinomatosis Patients

Introduction: Peritoneal carcinomatosis is a recurrence pattern in gastric cancer, commonly complicating the postoperative course, especially in high-risk individuals. These complications adversely affect quality of life, increase mortality, and have immediate postoperative clinical implications. Surgery is the best treatment for early-stage tumors, despite its associated risks, including mortality. Aim: To evaluate the impact of postoperative complications on the clinical outcomes of patients undergoing peritoneal cancer surgery. Methods: This cross-sectional observational study was conducted at the National Institute of Cancer Research and Hospital, Dhaka, Bangladesh, over twenty-one months from July 2017 to March 2019. Forty-two patients were selected based on inclusion and exclusion criteria and diagnosed clinically, radiologically, and histopathologically. Data were collected using a structured case record form and analyzed using SPSS-22. Results: The mean age of participants was 66.19 ± 10.38 years, with 33.3% aged 56-65 years. The cohort included 64.3% males and 35.7% females, with 52.4%, 40.5%, and 7.1% having a BMI of 18.5-24.9 kg/m², 25- 30 kg/m², and >30 kg/m², respectively. Smoking and betel leaf use were common (61.9% and 83.3%, respectively), with 69% from the middle class. Tumors primarily involved the proximal and distal stomach, with a mean size of 6.20 ± 1.86 cm, predominantly Type 3 and Type 4, and stages T4a and N2. No metastasis was observed. Total and lower radical gastrectomies were performed, with complications occurring in 9.5% (chest infection) and 14.3% (wound infection), while 76.2% had no complications. Conclusion: Complications can serve as indicators of postoperative clinical outcomes. The findings highlight the need for systemic changes in healthcare to reduce postoperative morbidity and mortality, thereby decreasing hospital stays.

GPP06 Presentation Time: 11:15 AM: Recurrence Patterns and Prognostic Features among Patients with Vaginal Cancer Treated Definitively with Intraoperative Magnetic Resonance Imaging and High-Dose Rate Brachytherapy

GPP06 Presentation Time: 11:15 AM: Recurrence Patterns and Prognostic Features among Patients with Vaginal Cancer Treated Definitively with Intraoperative Magnetic Resonance Imaging and High-Dose Rate Brachytherapy

Patterns of primary metastasis and recurrence differ among dMMR and p53 abnormal endometrial carcinomas

Patterns of primary metastasis and recurrence differ among dMMR and p53 abnormal endometrial carcinomas

Interpreting the patterns of local failure following postoperative volumetric-modulated arctherapy in oral cavity and oropharynx cancers: Impact of the different methods of analysis

PurposeIntensity-modulated radiation therapy or volumetric-modulated arctherapy is nowadays the recommended radiation technique for the treatment of head and neck cancers. However, by providing a significant dose gradient between target volumes and organs at risk, there is a risk of target missing and thus recurrence in case of inadequate delineation. It is therefore necessary to determine the origin of these recurrences to improve clinical practice. Over the past years, different methods have been described for the analysis of recurrences. Using the patterns of failure of patients with oral cavity and oropharynx carcinoma, treated with postoperative volumetric-modulated arctherapy in our institution, the purpose of this work was to analyse the sites of local recurrences and to evaluate the disparity in the classification of recurrences when different methods were used. Material and methodsBetween 2011 and 2019, 167 patients who underwent postoperative volumetric-modulated arctherapy for oral cavity or oropharyngeal cancers were included (60 and 40 % respectively). Two or three dose levels were prescribed (54Gy, 59.4/60Gy±66Gy). Local recurrence occurred in 17 patients (10.2 %). We assessed the patterns of local recurrences according to four methods: 1/ volume-based method using the volume overlap between the recurrence volume and initial target volumes; 2/ volume-based method of overlap between the recurrence volume and the 95 % treatment isodose; 3/ point-based method using the position of the barycentre of the recurrence volume; 4/ combined centroid method classifying recurrences according to both the initial target volumes and dose distribution. Each case was reviewed to make a clinical judgment on these classifications and assessed them as “appropriate”, “possible”, or “inappropriate”. ResultsFor the volume-based method using overlap between the recurrence volume and the initial clinical target volume, this classification was clinically judged as inappropriate in 11 out of 17 cases (65 %). For the volume-based method using overlap between the recurrence volume and the 95 % prescribed isodose, this classification was clinically judged as appropriate in 15 out of 17 cases (88 %). For the point-based method, this classification was clinically judged as appropriate in 14 out of 17 cases (82 %). Thirteen out of 17 local recurrences had the same classification between this point-based method and the volume-based method of overlap between the recurrence volume and the 95 % prescribed isodose. For the combined centroid method, among 17 local recurrences nine were classified as type A, two as type B, two as type C, three as type D and one as type E. This classification was clinically judged as appropriate in 15 out of 17 cases (88 %). Only five out of 17 of the local recurrences were classified the same way according to the four different methods (29 %). ConclusionRecurrences that are “marginal” or “outfield” represent a major challenge for intensity-modulated radiation therapy/volumetric-modulated arctherapy quality assurance and improvement of delineation recommendations. To date, there are no published methods that give complete satisfaction.

Single-cell transcriptional mapping reveals genetic and non-genetic determinants of aberrant differentiation in AML.

In acute myeloid leukemia (AML), genetic mutations distort hematopoietic differentiation, resulting in the accumulation of leukemic blasts. Yet, it remains unclear how these mutations intersect with cellular origins and whether they converge upon similar differentiation patterns. Single-cell RNA sequencing (scRNA-seq) has enabled high-resolution mapping of the relationship between leukemia and normal cell states, yet this application is hampered by imprecise reference maps of normal hematopoiesis and small sample sizes among patient cohorts. As a first step we constructed a reference atlas of human bone marrow hematopoiesis from 263,519 single-cell transcriptomes spanning 55 cellular states, that was benchmarked against independent datasets of immunophenotypically pure hematopoietic stem and progenitor cells. Using this reference atlas, we mapped over 1.2 million single-cell transcriptomes spanning 318 AML, mixed phenotype acute leukemia (MPAL), and acute erythroid leukemia (AEL) samples. This large-scale analysis, together with systematic mapping of genotype-to-phenotype associations between driver mutations and differentiation landscapes, revealed convergence of diverse genetic alterations on twelve recurrent patterns of aberrant differentiation in AML. This included unconventional lymphoid and erythroid priming linked to RUNX1 and TP53 mutations, respectively. We also identified non-genetic determinants of AML differentiation such as two subgroups of KMT2A-rearranged AML that differ in the identity of their leukemic stem cells (LSCs), likely reflecting distinct cellular origins. Furthermore, distinct LSC-driven hierarchies can co-exist within individual patients, providing insights into AML evolution. Together, precise mapping of normal and malignant cell states provides a framework for advancing the study and disease classification of hematologic malignancies thereby informing therapy development.

P094 Recurrence patterns in pathological node-positive prostate cancer: Insights from preoperative and occurrence-based PSMA-PET/CT imaging

P094 Recurrence patterns in pathological node-positive prostate cancer: Insights from preoperative and occurrence-based PSMA-PET/CT imaging

Recurrence patterns and evolution of submicroscopic and asymptomatic Plasmodium vivax infections in malaria-endemic areas of the Peruvian Amazon.

In the Peruvian Amazon, Plasmodium vivax malaria transmission is maintained due to the high frequency of recurrences. By understanding the recurrence rates of submicroscopic and asymptomatic cases, we can develop informed strategies to prevent transmission more efficiently and disrupt the silent transmission cycle. A three-year, population-based cohort study was conducted in two sites, Cahuide and Lupuna, within the Loreto region in Peru from 2013 to 2015. The study included 385 individuals and aimed to examine the temporal dynamics of malaria recurrences and their impact on transmission and control. Individuals from Lupuna presented a higher risk of P. vivax infections compared to Cahuide, where most recurrences were asymptomatic and submicroscopic. It is estimated that a great proportion of these recurrences were due to relapses in both communities. The application of molecular diagnostic method proved to be significantly more effective, detecting 2.3 times more episodes during the follow-up (PCR, 1068; microscopy, 467). PCR identified recurrences significantly earlier, at 151 days after an initial infection, compared to microscopy, which detected them on average after 365 days. Community, occupation and previous malaria infections were factors associated with recurrences. Finally, potential infection evolution scenarios were described where one frequent scenario involved the transition from symptomatic to asymptomatic infections with a mean evolution time of 240 days. This study explores the contrast in malaria recurrence risk among individuals from two endemic settings, a consequence of prolonged exposure to the parasite. Through the analysis of the evolution scenarios of P. vivax recurrences, it is possible to have a more complete vision of how the transmission pattern changes over time and is conditioned by different factors.

Recurrence patterns in differentiated thyroid cancer (DTC) following adjuvant radioiodine therapy.

With an increasing incidence of differentiated thyroid cancer (DTC) diagnosis, questions emerge about the optimal duration of follow-up for detecting recurrent disease and its outcomes. The objective of this retrospective research was to assess the clinical course of differentiated thyroid cancer after radioiodine adjuvant treatment in patients monitored over an extended period. Special attention was paid to the analysis of the time from treatment to recurrence. We also assessed patient outcomes after recurrence. A total of 650 patients with DTC after total/near-total thyroidectomy and adjuvant radioiodine post-recombinant human thyrotropin (post-rhTSH) stimulation were evaluated. All patients were followed up with neck ultrasound, serum thyroid-stimulating hormone (TSH), thyroglobulin (Tg), and antithyroglobulin antibody (anti-Tg) measurements at intervals of 6 to 18 months. Only structural recurrences were considered. They were defined as locoregional recurrence confirmed by biopsy or distant metastases [confirmed by computed tomography (CT) or magnetic resonance imaging (MRI), or abnormal foci on radioiodine scintigraphy or 18F-gluorodeoxyglucose positron emission tomography [18 F] FDG-PET scan], regardless of thyroglobulin (Tg) or anti-Tg levels. The median follow-up was 12 years (5-15.5). Structural recurrence was observed in 47 out of 650 patients (7%). All but 3 locoregional recurrences were suitable for surgery. The median time to structural recurrence was 16 months, with only 9 (1.4%) patients presenting with recurrence after more than 60 months. At the time of the database closure, 601 patients (92%) had an excellent response, including 20 out of 47 (42%) patients with structural recurrence. Eighty-one out of 650 patients had died (12.5%) before the database closure. The median age at the last follow-up of the patients who died was 72 years (range 20-88). A second recurrence was diagnosed in 10 out of 650 patients (1.5%), corresponding to 21% (10 out of 47) of patients who had already experienced a recurrence. The median time from radioiodine (RAI) therapy to the second structural recurrence was 108 months. Structural recurrences in DTC are uncommon, with most patients showing a favourable response to treatment. Improved understanding of recurrence timing may define the duration of patient surveillance at reference centres that can be safely discontinued after 5 years in low- and intermediate-risk groups, as indicated in our study.

Machine learning perioperative applications in visceral surgery: a narrative review.

Artificial intelligence in surgery has seen an expansive rise in research and clinical implementation in recent years, with many of the models being driven by machine learning. In the preoperative setting, machine learning models have been utilized to guide indications for surgery, appropriate timing of operations, calculation of risks and prognostication, along with improving estimations of time and resources required for surgeries. Intraoperative applications that have been demonstrated are visual annotations of the surgical field, automated classification of surgical phases and prediction of intraoperative patient decompensation. Postoperative applications have been studied the most, with most efforts put towards prediction of postoperative complications, recurrence patterns of malignancy, enhanced surgical education and assessment of surgical skill. Challenges to implementation of these models in clinical practice include the need for more quantity and quality of standardized data to improve model performance, sufficient resources and infrastructure to train and use machine learning, along with addressing ethical and patient acceptance considerations.

Inflammatory Burden Index Is an Independent Prognostic Factor for Esophageal Cancer Patients Who Receive Curative Treatment.

We hypothesized that the inflammatory burden index (IBI) is a promising biomarker for esophageal cancer (EC) treatment and management. To confirm our hypothesis, we evaluated the prognostic impact of IBI in patients with EC who received curative treatment. We conducted a retrospective review of medical records and collected data from consecutive patients with EC who underwent curative resection at Yokohama City University between 2005 and 2020. The IBI score was calculated as the C-reactive protein level multiplied by the neutrophil-to-lymphocyte ratio. In total, 180 patients with EC were included in this study. The 3- and 5-year overall survival (OS) rates were 72.9% and 63.4%, respectively, in the IBI-low group, and 38.2% and 32.5% in the IBI-high group (p<0.001). In the multivariate analysis, IBI was identified as a significant prognostic factor for OS [hazard ratio (HR)=2.372; 95% confidence interval CI=1.478-3.806, p<0.001]. In addition, the 3- and 5-year recurrence-free survival (RFS) rates were 52.9% and 47.8%, respectively, in the IBI-low group, and 22.9% and 17.2% in the IBI-high group (p<0.001). In the multivariate analysis, IBI was identified as a significant prognostic factor for RFS (HR=2.484; 95%CI=1.373-4.494, p<0.001). When comparing the recurrence patterns between the IBI-high and IBI-low groups, there were significant differences in lymph node recurrence (46.0% vs. 26.2%, p=0.010) and hematological recurrence (52.0% vs. 18.5%, p<0.001). IBI affects both the short- and long-term oncological outcomes. Thus, IBI may be a promising prognostic factor for the treatment and management of EC.

A socially interactive communication skills training for competent health educators

Abstract Background Every contact with expectant and new parents can be a “teachable moment” for promoting the health of mother-baby-family; yet, healthcare providers may not effectively perform their educational role. Previous studies have described various setting-specific challenges. Procedural knowledge, resulting in lack of confidence and avoidance, is a universal theme, challenging current communications skills training. Given the evolving role of midwives under the new Cyprus National Healthcare System, there is need for innovative practices. Objectives “Baby Buddy Communicators” designed, implemented and piloted tested a socially interactive digital environment on the Edubreak platform, where practicing (N = 8) and in-training (N = 7) Midwives completed an 8-week iterative hybrid communication skills course along with service-users. Results Four situational-based scenarios were co-created with ‘holders of the experience’ tapping on key priorities (elective caesarean, breastfeeding challenges, baby in NICU, postnatal depression). Participants produced video artefacts of role-play consultations and engaged in peer-to-peer and service-user feedback via the in-built video annotations and blog writing tools. Deductive content analysis of the rich material using the 18-item Health Professionals Communications Skills (HPCS) scale identified recurrent patterns tapping on both informational aspects (e.g. incomplete information gathering, overload without assessing comprehension) as well as social skills (e.g. agenda setting, early reassurance, assertiveness). Conclusions This cross-sectoral transfer of social video from sports training to healthcare is a “proof of concept”. Inverted (i.e. making current practices visible) and experiential learning (e.g. feedforward) with cross-sectoral (service-user involvement) and cross-module dimensions (i.e. communication skills and evidence-based practice) provided the basis for evaluation and a source of shared learning and reflection. Key messages • Several areas of improvement in communication skills of maternal healthcare providers were identified while peer-to-peer and service-user feedback was a source of reflection. • The use of digital technology and social video allowed immersive role-playing, observation and constructive feedback loops providing a new paradigm in health communication skills training.

Psoriasis: a disease beyond the skin.

Psoriasis is a chronic, immune-mediated inflammatory dermatosis with a multifactorial etiology, affecting approximately 3% of the Italian population. This condition not only imposes a substantial burden on physical health but also significantly diminishes the personal and social quality of life of affected individuals. This study aims to assess the critical role of integrated management approaches in psoriasis, focusing specifically on the role of primary care physicians in coordinating multidisciplinary care and addressing comorbidities. A comprehensive review of current therapeutic guidelines, classification systems, and available treatment strategies was conducted. This was supplemented with real-world clinical case studies. The study evaluated intervention approaches at both primary and secondary care levels, involving collaborations between general practitioners and specialists. Special emphasis was placed on the use of clinical assessment tools such as the Psoriasis Area and Severity Index (PASI) to categorize disease severity and guide therapeutic decisions. Our findings underscore the effectiveness of a multidisciplinary and personalized approach in managing psoriasis, particularly in moderate-to-severe cases. The pivotal role of primary care physicians in the early diagnosis, ongoing monitoring, and coordination of care pathways was highlighted, leading to significant improvements in comorbidity management. The clinical cases presented illustrate how tailored therapeutic regimens, supported by close collaboration between general practitioners and dermatologists, can result in the effective resolution of psoriatic lesions and markedly enhance patients’ quality of life. This study reinforces the necessity of a comprehensive, integrated, and multidisciplinary approach in the management of psoriasis, with primary care physicians serving as crucial intermediaries between community-based and specialist care. Depending on disease severity, treatment response, and recurrence patterns, primary care physicians play a central role in directing patients to appropriate secondary care services. The integration of specialist dermatological care with ongoing community-based monitoring optimizes clinical outcomes and mitigates the overall disease burden. We advocate for the establishment of clinical networks that facilitate seamless communication between different levels of care, ensuring holistic and targeted management of both psoriasis and its associated comorbidities. Keywords: Psoriasis, primary care physician, multidisciplinary care, integrated therapy, quality of life, comorbidities.

Explainability of convolutional neural networks for damage diagnosis using transmissibility functions

Structural health monitoring (SHM) is crucial for ensuring the safety and efficiency of engineering systems. Vibration-based signals have been widely employed in numerous studies for damage detection, localization and quantification, thanks to their high sensitivity to structural damages and versatile applicability across various structures. Among these, transmissibility functions (TFs) have emerged as particularly promising because they can be derived from output-only measurements, making them practical for real-world applications. Vibration-based features, including those captured by TFs, provide a wealth of damage-related information, but extracting these features can be challenging with traditional methods and often requires a priori knowledge. To address this challenge, deep learning has gained significant attention for its capacity to handle intricate patterns and extract hidden features. However, deep learning algorithms are often perceived as black-box models due to their complex and heterogeneous layers, which hinder transparency and raise concerns, especially in critical domains. Although numerous studies have highlighted the diagnostic potential of deep learning in SHM with vibration-based data, there has been limited exploration of the rationale behind using deep neural networks (DNNs) for processing TFs. This paper addresses this gap by introducing explainable artificial intelligence (XAI) methods in two distinct TF-based damage diagnostic case studies: a numerical aluminium structural beam and a large-scale experimental steel frame. In the former, damage is simulated as local stiffness reductions, while in the latter, damage is introduced by loosening joint bolts. In both cases, a convolutional neural network (CNN) is used to process raw TF data for damage detection, localization, and quantification in the beam, and for detection and localization in the frame. Subsequently, an XAI method based on the layer-wise relevance propagation (LRP) algorithm is employed to identify the most relevant input features. A pattern analysis is presented to explain recurrent patterns, and a comparison with other XAI methods is proposed for further validation. The results demonstrate that the CNN provides accurate predictions for both case studies, with its focus on damage-sensitive features aligning closely with findings in the existing literature.

Detection of seizure clustering using ultralong-term subcutaneous EEG monitoring

AbstractEpileptic seizures usually occur unpredictably yet not necessarily at random times. Cyclical patterns of seizure recurrence have been broadly described. Long-term seizure documentation may reveal individual cyclical seizure patterns; however, seizure reporting by patients or their caregivers is often inaccurate. Modern technologies for at-home monitoring of epileptic seizures enable continuous EEG recording for objective seizure counts over long-term timescales. Here, we present the clinical case of a patient with temporal lobe epilepsy due to hippocampal sclerosis who underwent ultralong-term subcutaneous EEG recording over a 1-year period, which revealed the occurrence of seizure clusters at three- to four-weekly intervals. The case demonstrates the possibility of detection of subject-specific seizure timing using a minimally invasive subcutaneous EEG recorder for ultralong-term at-home seizure monitoring. Information about individual seizure timing may contribute to a more personalized chronotherapeutic treatment approach in which antiseizure medication can be maintained at low doses during the low-risk periods and increased briefly before the anticipated seizures.

Detection, Patterns, and Outcomes of Recurrent HPV-Positive Oropharyngeal Squamous Cell Carcinoma

Recurrent human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) is a relatively rare but serious disease with little empirical data. Previous works have studied patterns of recurrence in HPV-positive OPSCC, but only one has studied truly recurrent disease as opposed to persistent disease, and no work systematically analyzed posttreatment surveillance imaging strategies and how recurrences were detected. To refine the understanding of HPV-positive OPSCC recurrence and inform optimal imaging surveillance strategies. This retrospective cohort study involved electronic medical record review at a tertiary care hospital. Patients treated for OPSCC from 2012 to 2019 were extracted, and patients diagnosed with HPV-positive OPSCC were identified. Data were analyzed from December 2022 to May 2023. Percentage of patients with a true recurrence, location of recurrence, time of recurrence detection, and method of recurrence detection. Recurrence was demonstrated with a scan after an imaging-established disease-free state 3 to 6 months posttreatment. Of the 367 patients with HPV-positive OPSCC (mean [SD] age, 60.6 [9.2] years; 310 [84.5%] male), 37 (10.1%) experienced true disease recurrence. Median (IQR) follow-up time of the cohort was 3.6 years (8.5-88 months), defined as time from diagnosis to death or last contact. Within the true recurrence cohort, 21 patients (56.8%) experienced local, regional, or local and regional recurrence (LRR); 15 (40.5%) experienced distant metastasis (DM); and 1 (2.7%) experienced both LRR and DM. The mean (SD) time for detecting LRR was 2.46 (1.94) years and was considerably longer compared to the 1.89 (0.87) years for detecting DM (difference, 0.57 [95% CI, -0.29 to 1.02] years). The majority of patients identified their recurrence through symptom changes (31 [81.1%]) rather than through surveillance imaging (3 [8.1%]). In this cohort study, 10.1% of patients experienced true HPV-positive OPSCC disease recurrence, with most incidences of DM occurring in the lung and brain. Disease recurrence was identified primarily through symptomatic change, suggesting that further research may be needed to understand the optimal surveillance strategies after definitive treatment.

Residual pattern of the hyperintense area on T2-weighted magnetic resonance imaging after initial treatment predicts the pattern and location of recurrence in patients with newly diagnosed glioblastoma

ObjectiveThis study examined the clinical significance of residual hyperintense area on T2-weighted magnetic resonance imaging without gadolinium-enhanced lesions at the end of initial treatment (debulking surgery, concomitant radiotherapy, and temozolomide) in patients with glioblastoma (GB). MethodsAmong 150 GB cases, 77 cases without enhanced lesions at the end of initial treatment and without factors modifying the distribution of residual hyperintense area or pattern of recurrence were included. We retrospectively reviewed the relationship of residual hyperintense area after initial treatment with progression-free survival (PFS), overall survival (OS), and pattern of recurrence. ResultsIn these 77 cases, the median PFS and OS were 12.4 and 27.4 months, respectively. At the end of initial treatment, 55 (71.4%) cases had residual hyperintense area (T2 residual group, T2R), whereas 22 (28.6%) showed no hyperintense area (T2 disappeared group, T2D). Based on univariate and multivariate analyses, the residual hyperintense area after initial treatment was not a prognostic factor for PFS or OS. Distant recurrences occurred more frequently in the T2D group than in the T2R group 50.0% vs. 9.5%). In the T2R group, the recurrence site coincided with the residual hyperintense area in 36 (85.7%) of 42 recurrences. ConclusionThe residual hyperintense area on T2WI at the end of initial treatment can predict local recurrence. However, the distant recurrence occurred frequently in T2D group. Thus, attention should be paid to local recurrences in T2R group and distant recurrences in T2D group.

Predictive modeling of biomedical temporal data in healthcare applications: review and future directions.

Predictive modeling of clinical time series data is challenging due to various factors. One such difficulty is the existence of missing values, which leads to irregular data. Another challenge is capturing correlations across multiple dimensions in order to achieve accurate predictions. Additionally, it is essential to take into account the temporal structure, which includes both short-term and long-term recurrent patterns, to gain a comprehensive understanding of disease progression and to make accurate predictions for personalized healthcare. In critical situations, models that can make multi-step ahead predictions are essential for early detection. This review emphasizes the need for forecasting models that can effectively address the aforementioned challenges. The selection of models must also take into account the data-related constraints during the modeling process. Time series models can be divided into statistical, machine learning, and deep learning models. This review concentrates on the main models within these categories, discussing their capability to tackle the mentioned challenges. Furthermore, this paper provides a brief overview of a technique aimed at mitigating the limitations of a specific model to enhance its suitability for clinical prediction. It also explores ensemble forecasting methods designed to merge the strengths of various models while reducing their respective weaknesses, and finally discusses hierarchical models. Apart from the technical details provided in this document, there are certain aspects in predictive modeling research that have arisen as possible obstacles in implementing models using biomedical data. These obstacles are discussed leading to the future prospects of model building with artificial intelligence in healthcare domain.

Lateral node metastasis in low rectal cancer as a hallmark to predict recurrence patterns.

Lateral node metastasis confers a poor prognosis in rectal cancer. Several multidisciplinary treatments have been proposed with favorable outcomes. However, appropriate neoadjuvant/adjuvant treatments or follow-up plans based on information about the probable recurrence site have not been specified. We aimed to clarify the distinctive features of recurrence patterns for lateral node-positive low rectal cancer according to the lateral and mesorectal lymph node status. We retrospectively analyzed 508 patients with stage III low rectal cancer who underwent lateral node dissection. We investigated the impact of lateral and mesorectal lymph node status on site-specific recurrence rates and patient survival. Analyses for relapse-free survival revealed the prognostic impact of lateral node positivity in stage III low rectal cancer (p < 0.0001). Lateral node-positive patients exhibited higher risk of overall recurrence, local recurrence, and recurrence in extra-regional nodes than lateral node-negative patients (p < 0.0001, p = 0.001, and p < 0.0001, respectively). However, lateral node positivity was not statistically associated with a hematogenous recurrence rate. In lateral node-positive patients, both tumor-node-metastasis (TNM)-N status and number of lateral nodes involved were revealed as significant prognostic factors (p < 0.0001, both). In addition, the number of lateral nodes involved could be a discriminatory indicator of probabilities of local recurrence and recurrence in extra-regional nodes (p = 0.02, and p < 0.0001, respectively). Lateral node-positive low rectal cancer exhibits higher local recurrence and extra-regional node recurrence rates that correlate with the number of lateral nodes involved.

Staging Paradox and recurrence pattern among stage IIB, IIC, and IIIA Colon cancers: a retrospective cohort study

PurposeThe survival rates of patients with stage IIB and IIC colon cancer are paradoxically inferior to that of patients with stage IIIA colon cancer. This study aimed to examine the oncological outcomes and investigate the factors that could affect the staging paradox among stage IIB, IIC, and IIIA colon cancers based on a 9-year cancer database.MethodsPatients with stage IIB (pT4aN0M0), IIC (pT4bN0M0), or IIIA (pT1-2N1M0) colon cancer were retrospectively selected from a prospectively maintained medical database from January 2011 to December 2019. Factors that might influence the staging paradox, including radicality, harvested lymph nodes, and chemotherapy administration, were examined.ResultsA total of 282 patients (stage IIB, n = 59; stage IIC, n = 46; and stage IIIA, n = 177) were enrolled. Patients with stage IIB/C cancer demonstrated higher carcinoembryonic antigen levels, larger tumor size, more frequent tumor obstruction, and higher locoregional recurrence than those with stage IIIA cancer. With respect to 10-year locoregional recurrence-free survival and cancer-specific survival, patients with stage IIB and IIC cancers had significantly lower survival rates than did those with stage IIIA cancer (73.7% vs. 66.3% vs. 91.2%, P = 0.0003; 5.4% vs. 10.9% vs. 11.2%, P = 0.0023). The staging paradox persisted in patients who underwent R0 resection, had harvested lymph nodes ≥ 12, and received chemotherapy, as confirmed by multivariate regression analysis.ConclusionsBased on the inferior oncological outcomes and higher locoregional recurrence rate, this study highlighted the need for intensified cytotoxic chemotherapy specific to this recurrence pattern for patients with stage IIB/C colon cancer.

Comprehensive Review of Post-treatment Imaging in Head and Neck Cancers: From expected to unexpected and beyond.

Head and neck cancer management requires multidisciplinary approach in which radical surgery with or without flap reconstructions and neck dissection, along with radiotherapy (RT)/chemoradiotherapy (CRT) serve as the key components. Neoadjuvant chemotherapy (NACT) and immunotherapy are used in selected cases based on the institutional preference. Knowledge of expected posttreatment changes on imaging is essential to differentiate it from recurrence. In addition, awareness of various posttreatment complications is imperative for their early detection on imaging. Distorted anatomy after treatment poses diagnostic challenge, hence, proper choice of imaging modality and appropriate timing of scan is pertinent for accurate posttreatment evaluation. In this article, we have provided a comprehensive review on expected imaging appearances post RT/CRT and after major types of head and neck squamous cell carcinoma (HNSCC) surgeries. In addition, we have extensively reviewed the imaging appearances of various posttreatment complications, and recurrences at the primary and lymph nodal sites. We have also delved into the patterns of recurrence in human papillomavirus (HPV) positive HNSCC in this article. Furthermore, we have provided flowcharts and discussed recommendations on the site-specific and treatment related imaging modalities to be used along with their appropriate timing, for adequate evaluation of HNSCC after treatment. We have also reviewed posttreatment reporting of imaging findings using Neck Imaging Reporting and Data Systems (NIRADS) and Hopkins criteria. In addition, we have also touched upon the role of advanced imaging techniques for posttreatment HNSCC evaluation.