Neck Cases Research Articles

Emulating the Delivery of Sawtooth Proton Arc Therapy Plans on a Cyclotron-Based Proton Beam Therapy System

Purpose: To evaluate and compare the deliverability of ‘sawtooth’ proton arc therapy (PAT) plans relative to static intensity modulated proton therapy (IMPT) at a cyclotron-based clinical facility. Methods: The delivery of single and dual arc Sawtooth PAT plans for an abdominal CT phantom and multiple clinical cases of brain, head and neck (H&N) and base of skull (BoS) targets was emulated under the step-and-shoot and continuous PAT delivery regimes and compared to that of a corresponding static IMPT plan. Results: Continuous PAT delivery increased the time associated with beam delivery and gantry movement in single/dual PAT plans by 4.86/7.34 min (brain), 7.51/12.40 min (BoS) and 6.59/10.57 min (H&N) on average relative to static IMPT. Step-and-shoot PAT increased this delivery time further by 4.79 min on average as the delivery was limited by gantry motion. Conclusions: The emulator can approximately model clinical sawtooth PAT delivery but requires experimental validation. No clear benefit was observed regarding beam-on time for sawtooth PAT relative to static IMPT.

HN-SIB-BPI: A single click, sub-site specific, dosimetric scorecard tuned RapidPlan model created from a foundation model for treating head and neck with bilateral neck

To develop a Knowledge Based Planning (KBP) model for creating quantifiably high quality VMAT treatment plans in a single click for head and neck cases treated Simultaneous Integrated Boost (SIB) with bilateral parotid involvement (BPI) where both parotids are near, abutting or partially overlapping target volume. Eclipse RapidPlan and the publicly available PlanScorecard tool were used to assess existing Head and Neck RapidPlan models on two representative cases. The best performer was used as a foundation model to assist in creating new initial training set doses from previously treated cases. Those initial 27 cases were first replanned using only the selected foundation model, then further improved based on manual replanning, informed by dosimetric scorecard assessment. A new, initial model was trained from those 27 foundation model created cases that had been manually improved. Then, that initial model was used to replan those cases again, resulting in higher scores. Additional cases were also replanned using the initial model along with some manual changes to the optimization objectives to increase the score. This resulted in a total of 66 cases from which the final, released, HN-SIB-BPI was trained. A 27 case subset of the full training set was replanned and rescored at each phase of the process with a 260 total point 3-target scorecard. The average score increased: 210.5 foundation model; 226.96 manually improved plans; 230.1 initial model; 231.7 HN-SIB-BPI. On the same 27 case subset, mean ipsilateral and contralateral parotid dose decreased by 1.05Gy and 1.58Gy respectively from the foundation model to HN-SIB-BP. Eight external cases were created from HN-SIB-BPI with dosimetric scorecard validation on Halcyon (3-PTV:221.38/260; 2-PTV:196.1/228.5) and TrueBeam (3-PTV:222.01/260; 2-PTV:202.24/228.5). A specific clinical intent (ie: max parotid sparing) can be articulated in a comprehensive and precise manner by creating a dosimetric scorecard with individual metrics points assigned to each OAR and target metric reflecting their relative importance. This process improved the KBP model (HN-SIB-BPI) in several quantifiable ways including further sparing of parotid dose. All results and tools in this work are shared publicly.

Clinical analysis of 21 cases of children with ectopic bronchogenic cyst

Objective: To analyze the clinical characteristics, treatment, and prognosis of ectopic bronchogenic cysts in children. Methods: A retrospective analysis was conducted on the data including the clinical characteristics, auxiliary examination and treatment of 21 children with ectopic bronchogenic cysts diagnosed pathologically at Children's Hospital Affiliated to Zhengzhou University from July 2015 to December 2023. There were 16 males and 5 females, with a male-female ratio of 3.2∶1, and the age ranged from 4 days to 8 years old (median age 2 years and 8 months). Results: Among the 21 cases of ectopic bronchogenic cysts, 11 cases were found in the pharynx, with symptoms including dyspnea (4 cases), snoring during sleep (3 cases), and choking on milk(4 cases).Ten cases were found in the head, neck or anterior chest, 5 of these cases had infection history, and 5 showed progressive mass growth.Imaging and endoscopy showed 9 patients underwent preoperative color ultrasonography revealed cystic masses with well-defined boundaries. CT examination was performed on 13 patients, which showed round or nearly round masses with homogeneous density, smooth margins, and regular cyst walls. CT attenuation values ranged from 2 to 52 Hounsfield Units (HU). Four cystic lesions were assessed via MRI, 3 cases demonstrated long T1 and long T2 signals, while 1 case had a slight short T1 and long T2 signal, with high signal intensity on fat-suppressed images. Eleven cases of pharyngopharyngeal cysts were examined by electronic nasopharyngoscopy. The cysts appeared as spherical or ovoid masses with smooth surfaces, close to or slightly light in color with the surrounding tissue, with one cyst presenting with a bluish blue in the oropharynx. All 11 pharyngeal cysts were excised using low-temperature plasma under general anesthesia and intubation assisted by a nasal endoscope. The cysts were pulled and excised as completely as possible.Ten cases of neck and anterior chest cysts were completely excised. Postoperative histopathology confirmed bronchogenic cyst. Twenty-one children were followed up postoperatively for 4 months to 7 years without recurrence, except for 1 patient who was lost to follow-up. Conclusions: Ectopic bronchogenic cysts are uncommon and lack of typical imaging and clinical features.Combination of ultrasonography, CT and MRI is recommended for cases occuered in neck and anterior chest, while electronic nasopharyngoscopy complements pharyngeal evaluations. Surgical intervention is the preferred treatment choice for this disease.

Evaluating an analytical prediction algorithm of positron emitter distributions in patient data for PET monitoring of carbon ion therapy: A simulation study

In vivo treatment monitoring in ion therapy is one of the key issues for improving the treatment quality assurance procedures. Range verification is one of the most relevant and yet complex task used for in vivo treatment monitoring. In carbon ion therapy, positron emission tomography is the most widely used method. This technique exploits the β+-activity of positron emitters created by nuclear interactions between the incoming beam and the irradiated tissue. Currently, high computational efforts and time-consuming Monte Carlo simulation platforms are typically used to predict positron emitter distributions. In order to avoid time-consuming simulations, an extended filtering approach was suggested to analytically predict positron emitter profiles from depth dose distributions in carbon ion therapy. The purpose of this work is to investigate such an analytical prediction model in patient anatomies of varying complexity, highlighting its potential and the need of further improvements, especially in highly heterogeneous anatomies where many air cavities are present in the beam path. The accuracy of range verification showed a mean relative error of ∼3% and a deviation between the simulation and the prediction below 2mm for the three patient cases analysed: a brain case and two head and neck cases. Additional investigations demonstrated the region of applicability of the method for cases of patient data. The analytical method enables range verification in carbon ion therapy by replacing computing-intensive Monte Carlo simulations and thus minimize the PET monitoring burden on the clinical workflow.

284 The influencing factors for adaptive radiotherapy (ART) in head and neck cases: A Retrospective Study

284 The influencing factors for adaptive radiotherapy (ART) in head and neck cases: A Retrospective Study

A Double-Anonymised Histopathological Comparative Study of CO2 Laser and Coblation in Head and Neck Surgery.

CO2 Laser and Coblation are widely used in Head and neck Surgeries. This study compares the tissue changes produced by these two techniques. 50 Patients who underwent complete excision of benign and malignant pathologies in the Oral Cavity, Oropharynx, and Larynx with Coblation and CO2 Laser were included in the study. The primary excised specimen and another separate specimen from the base of the excised lesion were evaluated histologically based on criteria by Vescovi et al. (1). On histopathological examination, thermal effects (epithelial, connective tissue and vascular) produced by both techniques were comparable. However vascular changes were seen more in tissues CO2 Laser (P = 0.727). Incision margins were more regular in the CO2 Laser group (73%) than in Coblation (55%) but not statistically significant (P = 1.80). Depth of thermal damage (P = 0.171) and connective tissue changes(P = 0.279) was more with Coblation. Both Coblation and CO2 Laser can be used effectively in Head and Neck cases. CO2 Laser, when available, is a better option because of its precise excision, and less collateral tissue damage.

Comparative Evaluation of Neck Length, Relative Neck Length and Total Body Height in Cervical Spondylosis Affected and Non-Affected Individual

Anthropometric measurements, including neck length, relative neck length and total body height, have been proposed as potential indicators of cervical spine health, yet their association with cervical spondylosis remains relatively understudied. Objective: To compare neck length, relative neck length, and total body height between individuals affected by cervical spondylosis and a non-affected control group. Methods: This case-control study was conducted at Department of Anatomy Multan Medical and Dental College (MMDC), Multan from April 2023 to September 2023. Cases were diagnosed with cervical spondylosis and controls were selected from the same population without a history of cervical spine pathology or symptoms. The collected data were analyzed using IBM SPSS, version 27.0. Results: Gender distribution revealed females in both cases (63, 60.6%) and controls (59, 56.7%). The age of participants ranged from 25 to 75 years. The mean age for cases was 49.2 ± 12.93 years and for controls was 49.7 ± 13.19 years. The mean neck length among cases and controls was 105.2 ± 17.22 mm and 107.7 ± 20.02 mm, respectively. Regarding relative neck length, cases and controls exhibited measurements of 6.41 ± 1.07 mm and 6.42 ± 1.27 mm, respectively. Height-wise, cases measured 164.4 ± 10.27 cm, while controls measured 168.3 ± 8.53 cm. Conclusions: In conclusion, while no significant differences were observed in neck length or relative neck length between cervical spondylosis patients and controls, a notable disparity in height was noted.

Exploring the Unmet Needs of Cancer Caregivers in India: A Cross-Sectional Survey.

Introduction Caregivers of individuals with head, neck, and face cancer play a pivotal role in providing support, yet they face distinct challenges. This study aims to explore caregiving experiences and consequences among this population. Methods A multicentric cross-sectional study involving 200 caregivers using a convenience sampling method was conducted in Pune. Caregivers involved in patient care were included in head, neck, and face cancer. The Cancer Caregiving Consequences Inventory (CaTCoN) questionnaire was utilized to assess various dimensions of caregiving. Ethical clearance was obtained from institutional review boards. Results The demographic profile revealed that 89% of caregivers were spouses/partners, primarily females (77%), aged 25-40 (81.5%), and urban dwellers (68.5%). Caregivers were predominantly married or cohabiting (100%) and had children (95%). Most had a graduate-level education (97.5%) and were employed full-time (82.5%). The mean scores from the CaTCoN questionnaire highlighted substantial caregiving responsibilities, with significant associations found in multivariate regression analysis. Spouses/partners showed stronger correlations with increased workload, personal growth challenges, financial difficulties, and the need to maintain an everyday life. Conclusion This study comprehensively explains caregiving consequences among head, neck, and face cancer cases. The predominance of spouses/partners as caregivers emphasizes the need for targeted interventions to address their unique challenges. The study highlights the demanding nature of caregiving, with potential positive outcomes.

A reference-point-method-based online proton treatment plan re-optimization strategy and a novel solution to planning constraint infeasibility problem

Objective. Propose a highly automated treatment plan re-optimization strategy suitable for online adaptive proton therapy. The strategy includes a rapid re-optimization method that generates quality replans and a novel solution that efficiently addresses the planning constraint infeasibility issue that can significantly prolong the re-optimization process. Approach. We propose a systematic reference point method (RPM) model that minimizes the l-infinity norm from the initial treatment plan in the daily objective space for online re-optimization. This model minimizes the largest objective value deviation among the objectives of the daily replan from their reference values, leading to a daily replan similar to the initial plan. Whether a set of planning constraints is feasible with respect to the daily anatomy cannot be known before solving the corresponding optimization problem. The conventional trial-and-error-based relaxation process can cost a significant amount of time. To that end, we propose an optimization problem that first estimates the magnitude of daily violation of each planning constraint. Guided by the violation magnitude and clinical importance of the constraints, the constraints are then iteratively converted into objectives based on their priority until the infeasibility issue is solved. Main results. The proposed RPM-based strategy generated replans similar to the offline manual replans within the online time requirement for six head and neck and four breast patients. The average target D 95 and relevant organ at risk sparing parameter differences between the RPM replans and clinical offline replans were −0.23, −1.62 Gy for head and neck cases and 0.29, −0.39 Gy for breast cases. The proposed constraint relaxation solution made the RPM problem feasible after one round of relaxation for all four patients who encountered the infeasibility issue. Significance. We proposed a novel RPM-based re-optimization strategy and demonstrated its effectiveness on complex cases, regardless of whether constraint infeasibility is encountered.

Enhancing the management of locally advanced head and neck malignancies and cases with local/neck recurrence and metastasis through the integration of anlotinib with concurrent radiochemotherapy.

The aim of this study is to assess the effectiveness and safety of anlotinib in conjunction with concurrent radiochemotherapy for the treatment of locally advanced head and neck malignant tumors, including cases exhibiting local or neck recurrence and metastasis. Between June 2020 and June 2023, 42 patients diagnosed with locally advanced head and neck malignant tumors or presenting with local or neck recurrence and metastasis were recruited. These individuals received treatment that combined anlotinib with concurrent radiochemotherapy, followed by a minimum of two cycles of oral anlotinib upon completion of the initial treatment regimen. Among the 19 patients diagnosed with nasopharyngeal carcinoma, 14 patients attained a complete response, while four patients achieved partial response, resulting in an overall response rate of 94.74% (18/19). Conversely, among the 23 patients with non-nasopharyngeal carcinoma, two patients achieved complete response and 16 attained partial response, yielding a response rate of 78.26% (18/23). The 6-month progression-free survival rate was 95.24%. After treatment, serum vascular endothelial growth factor receptor levels exhibited a significant decrease compared with pretreatment levels. Notably, no instances of treatment-related serious adverse reactions were recorded. The combination of anlotinib with concurrent radiochemotherapy demonstrates favorable efficacy in managing locally advanced head and neck malignant tumors, including instances of local or neck recurrence and metastasis. Furthermore, the treatment regimen is characterized by an acceptable safety profile and tolerability.

Digital Pathology is a Fast and Effective Platform for Providing Head and Neck Pathology Consultations.

Surgical pathology of the head and neck is one of the more challenging areas in all of diagnostic pathology. Its unparalleled diversity and complexity renders it highly vulnerable to diagnostic error compelling unconstrained access to specialized diagnostic expertise. Digital pathology (DP) is a state-of-the-art tool that could facilitate access to specialized expertise, but it is relatively untested in the context of pathology consultations. In a collaboration between Labcorp Dianon and a large academic hospital with subspecialized surgical pathology, DP was implemented to provide the pathology community access to head and neck pathology expertise. From this collaborative experience, glass slides from consecutive consult cases that had been previously diagnosed using DP were reviewed by an expert consultant in a blinded manner following an extended wash-out period. The intraobserver discrepancy rate was recorded. Major discrepancies were defined as those resulting in significant impact on clinical management and/or prognosis, whereas minor discrepancies were those with no impact on care or prognosis. Slides from 57 cases were available for review. The average wash-out period was 19 months. Five discrepancies were recorded (intraobserver concordance rate of 91%). All discrepancies were minor (major discrepancy rate, 0%; minor discrepancy rate, 9%). On appraisal of the discrepant cases, discordant diagnoses were attributed to subjective differences in interpretation rather than objective differences related to the inferiority of DP. DP decreased the median turnaround time by 97% (from 70h 26min to 2h 25min). DP provides efficient and fast access to expert consultants. The speed of case delivery does not compromise diagnostic precision. Discrepancies are uncommon, minor, and reflect subjective interpretative differences inherent to difficult and ambiguous head and neck cases, and not the inferiority of DP as a diagnostic platform. High concordance can be achieved even for those difficult and complex cases that are concentrated in the consultation practice. This observation carries profound implications regarding universal health care access to specialized diagnostic expertise.

Optimizing the traversal time for gantry trajectories for proton arc therapy treatment plans

Background. Proton arc therapy (PAT) is an emerging radiation therapy technique where either the gantry or the patient continuously rotates during the irradiation treatment. One of the perceived advantages of PAT is the reduced treatment time, but it is still unclear exactly how long these treatment times will be, given that no machine capable of its delivery is available on the market at the time of writing. Objective. We introduce the algorithm arc trajectory optimization method (ATOM), which aims to determine an efficient velocity profile for the gantry for rapid delivery of a given proton arc treatment plan. This algorithm could be used to minimize the delivery time of a proton arc plan without changing the plan or updating the machine. Approach. ATOM computes the trajectory with the shortest delivery time while ensuring there is enough time to deliver all spots in each energy layer and switch energy between layers. The feasibility of the dynamic gantry movement was assured by enforcing maximum and minimum limits for velocity, acceleration, and jerk. This was achieved by discretizing the gantry velocity and combining the A* algorithm with the open-source motion generation library Ruckig. The algorithm was tested on a synthetic data set as well as a liver case, a prostate case and a head and neck case. Main results. Arc trajectories for plans with 360 energy layers were calculated in under a second using 256 discrete velocities. The delivery time of the liver case, the prostate case and the head and neck case were 284 s, 288 s and 309 s respectively, for 180 energy layers. Significance. ATOM is an open-source C++ library with a Python interface that rapidly generates velocity profiles, making it a highly efficient tool for determining proton arc delivery times, which could be integrated into the treatment planning process.

A Case of Brachial Plexus Schwannoma Presenting as a Cystic Neck Swelling

Schwannomas are benign tumours arising from Schwann cells of the neural sheath. They are rarely seen to arise from the brachial plexus. Brachial plexus schwannomas present as a swelling over lateral neck, supraclavicular region or axilla. Symptoms may include pain, sensory changes, weakness etc. Around 5% of these schwannomas may turn malignant. Although rare, cystic neck swellings can be due to cystic degeneration of a schwannoma. A preoperative evaluation is of utmost importance and in cases of neck swellings which are producing symptoms, a pre-operative MRI should be done to reach the diagnosis before taking the patient in the OT. Presented is a case of lateral neck swelling with mild tingling sensation over arm of the same side.

How to manage blocked intramedullary canal while reaming during hip arthroplasty

Blockage of femoral canal while doing hemiarthroplasty is rare finding. Before inserting the femoral stem trial we should manage this blockage adequately to prevent iatrogenic fracture. Herein, we present a case of fracture neck of femur right in a 79-year-old male who presented with history of right hip pain and later was diagnosed with neck of femur fracture subcapital type that was treated with cementless hemiarthroplasty. In conclusion, if the canal is blocked, start with small diameter (K-wire), then insert guide wire and then reaming over it to open the blocked canal, do not hammer directly to prevent iatrogenic fracture. Go sequentially to open the blockage. First open the marrow then insert trial stem.

Dosimetrically motivated beam-angle optimization for non-coplanar arc radiotherapy with and without dynamic collimator rotation.

Non-coplanar techniques have shown to improve the achievable dose distribution compared to standard coplanar techniques for multiple treatment sites but finding optimal beam directions is challenging. Dynamic collimator trajectory radiotherapy (colli-DTRT) is a new intensity modulated radiotherapy technique that uses non-coplanar partial arcs and dynamic collimator rotation. To solve the beam angle optimization (BAO) problem for colli-DTRT and non-coplanar VMAT (NC-VMAT) by determining the table-angle and the gantry-angle ranges of the partial arcs through iterative 4π fluence map optimization (FMO) and beam direction elimination. BAO considers all available beam directions sampled on a gantry-table map with the collimator angle aligned to the superior-inferior axis (colli-DTRT) or static (NC-VMAT). First, FMO is performed, and beam directions are scored based on their contributions to the objective function. The map is thresholded to remove the least contributing beam directions, and arc candidates are formed by adjacent beam directions with the same table angle. Next, FMO and arc candidate trimming, based on objective function penalty score, is performed iteratively until a desired total gantry angle range is reached. Direct aperture optimization on the final set of colli-DTRT or NC-VMAT arcs generates deliverable plans. colli-DTRT and NC-VMAT plans were created for seven clinically-motivated cases with targets in the head and neck (two cases), brain, esophagus, lung, breast, and prostate. colli-DTRT and NC-VMAT were compared to coplanar VMAT plans as well as to class-solution non-coplanar VMAT plans for the brain and head and neck cases. Dosimetric validation was performed for one colli-DTRT (head and neck) and one NC-VMAT (breast) plan using film measurements. Target coverage and conformity was similar for all techniques. colli-DTRT and NC-VMAT plans had improved dosimetric performance compared to coplanar VMAT for all treatment sites except prostate where all techniques were equivalent. For the head and neck and brain cases, mean dose reduction-in percentage of the prescription dose-to parallel organs was on average 0.7% (colli-DTRT), 0.8% (NC-VMAT) and 0.4% (class-solution) compared to VMAT. The reduction in D2% for the serial organs was on average 1.7% (colli-DTRT), 2.0% (NC-VMAT) and 0.9% (class-solution). For the esophagus, lung, and breast cases, mean dose reduction to parallel organs was on average 0.2% (colli-DTRT) and 0.3% (NC-VMAT) compared to VMAT. The reduction in D2% for the serial organs was on average 1.3% (colli-DTRT) and 0.9% (NC-VMAT). Estimated delivery times for colli-DTRT and NC-VMAT were below 4 min for a full gantry angle range of 720°, including transitions between arcs, except for the brain case where multiple arcs covered the whole table angle range. These times are in the same order as the class-solution for the head and neck and brain cases. Total optimization times were 25%-107% longer for colli-DTRT, including BAO, compared to VMAT. We successfully developed dosimetrically motivated BAO for colli-DTRT and NC-VMAT treatment planning. colli-DTRT and NC-VMAT are applicable to multiple treatment sites, including body sites, with beneficial or equivalent dosimetric performances compared to coplanar VMAT and reasonable delivery times.

A comparative dose-escalation analysis for reirradiated cancer patients with and without appropriate dose mapping.

This study aims to compare dose escalation between two groups of reirradiated cancer patients, one with the previous contour and radiotherapy plan available on the treatment planning system and the other without. First group is identified as DICOM-group, while the other one is called non-DICOM group. The current study included 89 patients, 57 in the DICOM, and 32 in the non-DICOM group, who received reirradiation for recurrent or second primary tumours between 2019 and 2021. For the DICOM group, doses to 0.2cc volume for spine, brainstem, and optic apparatus from first radiation were converted into structures and transferred to reirradiation CT using deformable registration. First, one radiotherapy plan was created using the doctor prescribed dose (baseline prescription RxD_B); further an escalated dose (RxD_E) plan, taking into account all the dose volume parameters from previous radiation, was created only for DICOM group. In non-DICOM group patients were planned only for RxD_B. The maximum accepted dose escalation was 21 Gy. Radiotherapy prescription dose during earlier (first) treatment in DICOM and non-DICOM groups were 61 ± 5.6 Gy and 30-66 Gy, respectively. DICOM and non-DICOM groups had nearly identical baseline doses: 52.5 ± 10.7 Gy and 50.6 ± 6.9 Gy (difference 1.9 ± 12.7 Gy). Dose escalation was possible for 51 out of 57 patients in the DICOM-group. Average escalated dose in DICOM-group was 59.2 ± 6.2 Gy, with an incremental dose of 6.7 ± 12.4 Gy from the baseline prescription. No dose escalation was opted for in the non-DICOM group due to the unavailability of dose volume information from previous radiation. Reirradiation for head and neck cases allowed for a moderate to high dose escalation, facilitated by the presence of pertinent DICOM information from the initial radiotherapy.

25. Do same day extubations in major head and neck cases confer any overall benefit to patient care?

25. Do same day extubations in major head and neck cases confer any overall benefit to patient care?

GUNSHOT-INDUCED FRACTURE OF THE PROXIMAL FEMUR: OUTCOMES OF MANAGEMENT AT A TERTIARY HOSPITAL IN SOUTH AFRICA

Gunshot-induced fractures of the proximal femur typically present with severe comminution and bone loss. These fractures may also be associated with local damage to soft tissue, neurovascular structures and injuries to abdominal organs. The aim was to evaluate the outcomes of civilian gunshot injuries to the proximal femur at a major trauma center in South AfricaA retrospective review of all patients who sustained gunshot-induced proximal femur fractures between January 2014 and December 2017 was performed. Patients with gunshot injuries involving the hip joint, neck of femur or pertrochanteric fractures were included. Patient demographics, clinical- treatment and outcome data were collected. Results are reported as appropriate given the distribution of continuous data or as frequencies and counts.Our study included 78 patients who sustained 79 gunshot-induced proximal femur fractures. The mean age of patients was 31 ± 112, and the majority of patients were male (93.6%). Pertrochantenteric fractures were the most common injuries encountered (73.4%). Treatment included cephalomedullary nail (60.8%), arthrotomy and internal fixation (16.4%) and interfragmentary fixation with cannulated screws (6%). One case of complete neck of femur fracture had fixation failure, which required conversion to total hip arthroplasty. The overall union rate was 69.6%, and 6.3% of patients developed a fracture-related infection in cases who completed follow-up.The study shows an acceptable union rate when managing these fractures and a low risk of infection. As challenging as they are, individual approaches for each fracture and managing each fracture according to their merits yield acceptable outcomes.

ChatGPT performance in laryngology and head and neck surgery: a clinical case-series.

To study the performance of ChatGPT in the management of laryngology and head and neck (LHN) cases. History and clinical examination of patients consulting at the Otolaryngology-Head and Neck Surgery department were presented to ChatGPT, which was interrogated for differential diagnosis, management, and treatment. The ChatGPT performance was assessed by two blinded board-certified otolaryngologists using the following items of a composite score and the Ottawa Clinic Assessment Tool: differential diagnosis; additional examination; and treatment options. The complexity of clinical cases was evaluated with the Amsterdam Clinical Challenge Scale test. Forty clinical cases were submitted to ChatGPT, accounting for 14 (35%), 12 (30%), and 14 (35%) easy, moderate and difficult cases, respectively. ChatGPT indicated a significant higher number of additional examinations compared to practitioners (p = 0.001). There was a significant agreement between practitioners and ChatGPT for the indication of some common examinations (audiometry, ultrasonography, biopsy, gastrointestinal endoscopy or videofluoroscopy). ChatGPT never indicated some important additional examinations (PET-CT, voice quality assessment, or impedance-pH monitoring). ChatGPT reported highest performance in the proposition of the primary (90%) or the most plausible differential diagnoses (65%), and the therapeutic options (60-68%). The ChatGPT performance in the indication of additional examinations was lowest. ChatGPT is a promising adjunctive tool in LHN practice, providing extensive documentation about disease-related additional examinations, differential diagnoses, and treatments. The ChatGPT is more efficient in diagnosis and treatment, rather than in the selection of the most adequate additional examination.

A Generalized Deep Learning Method for Synthetic CT Generation.

The application of deep learning to generate synthetic CT (sCT) has been widely studied in radiotherapy. Existing methods generally involve data from two different image modalities, such as CBCT-CT or MRI-CT, the quality of sCT is adversely affected by source image quality. We propose a unique method of synthesizing MRI and CBCT into sCT based on single-modal CT for training, and call it SmGAN. We used planning CT of a group of 35 head and neck cases to as training data. We then applied two different spatial transformations to the planning CT image to produce the transformed CT1 and CT2. And We used a random style enhancement technique (Shuffle Remap) to modify the image distribution of CT1 which we termed CT1+E. CT1+E was used to simulate the patient's "image of the day" while CT2 to simulate the "planning image". After feeding both CT1+E and CT2 into the generator, we obtained the sCT predicted by the generator. The generator was trained using the Mean Absolute Error (MAE) loss between sCT and CT1. In the actual clinical process, we use the patient's CBCT or MRI instead of CT1+E and the patient's planning CT instead of CT2 as the input of the generator. After processing, we get an sCT that can maintain the spatial position of the image taken on the day, while presenting features similar to the planning CT. The evaluation data we have includes 10 pairs of MRI-Def_CT and 10 pairs of CBCT-Def_CT Head and Neck patients. Def_CT is obtained from the planning CT based on the spatial position deformation of MRI and CBCT. To evaluate the accuracy of sCT based on MRI and CBCT with Def CT, we use a range of metrics, including Hounsfield Unit (HU) difference, peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and gamma pass rate. All results will be benchmarks against the advanced method RegGAN for comparison. Compared to RegGAN, the results of SmGAN were significantly better. The mean absolute errors within the body were (44.7±216.2 HU vs. 36.7±131.4 HU) and (64.9±123.7 HU vs. 58.2±152.8 HU) for the CBCT-SCT and MRI-SCT, respectively (Table 1). In addition, experimental results show that SmGAN also outperforms RegGAN in dose calculation accuracy. For example, under the 10% threshold, SmGAN's gamma pass rate of 1mm and 1% is 0.926±0.02, compared with gamma rate of 0.896±0.02 for RegGAN. We proposed a generalized deep learning model for synthetic CT generation, based on CBCT or MRI images. The proposed algorithm achieved high accuracy of dosimetric metrics, as well as excellent IMRT QA verification results. Compared to other existing synthetic CT generation methods, the proposed SmGAN required a single-modal image for training, which is considered as a major breakthrough in the industry, and is expected to have wide spread of clinical applications.