[Applicability of the Adnex score in predicting the malignancy of ovarian cysts]

OBJECTIVE

Ovarian cancer screening is a difficult problem due to the anatomy of the ovaries. Only histology allows a definite diagnosis. Our objective was to study the contribution of the Adnex score in the histological characterization of adnexal images for adequate management.

METHODS

It was a retrospective, mono-center, descriptive and analytical. Sixty-five patients were included, those operated for an ovarian cyst and meeting the Adnex criteria: clinical, ultrasound and laboratory.

RESULTS

The mean age of the patients was 38.6 years. They were nulliparous in 43 % of cases, and only four had a history of operation on ovarian cyst. Abdominal pelvic pain was the most frequent reason for consultation in 48 % of cases. An abdominopelvic mass was found on abdominal examination in 11 % of cases. Pelvic ultrasound made it possible to objectify the presence of an ovarian mass in all cases, with an average size of 79.66mm and a reassuring appearance in 66 % of cases. The calculation of the Adnex score was done in all patients preoperatively, for a 10 % cut-off, the model showed an 86 % chance of benignity for tumors proven to be histologically benign. The main route of entry was laparoscopy, in 61 % of cases. The treatment was in most cases conservative consisting essentially of a cystectomy.

CONCLUSION

The Adnex score discriminated well between benign and malignant masses, allowing for a better diagnosis preoperatively. It thus deserves its applicability in the clinical setting.

Voxel-wise analysis: A powerful tool to predict radio-induced toxicity and potentially perform personalised planning in radiotherapy

Dose - volume histograms have been historically used to study the relationship between the planned radiation dose and healthy tissue damage. However, this approach considers neither spatial information nor heterogenous radiosensitivity within organs at risk, depending on the tissue. Recently, voxel-wise analyses have emerged in the literature as powerful tools to fully exploit three-dimensional information from the planned dose distribution. They allow to identify anatomical subregions of one or several organs in which the irradiation dose is associated with a given toxicity. These methods rely on an accurate anatomical alignment, usually obtained by means of a non-rigid registration. Once the different anatomies are spatially normalised, correlations between the three-dimensional dose and a given toxicity can be explored voxel-wise. Parametric or non-parametric statistical tests can be performed on every voxel to identify the voxels in which the dose is significantly different between patients presenting or not toxicity. Several anatomical subregions associated with genitourinary, gastrointestinal, cardiac, pulmonary or haematological toxicity have already been identified in the literature for prostate, head and neck or thorax irradiation. Voxel-wise analysis appears therefore first particularly interesting to increase toxicity prediction capability by identifying specific subregions in the organs at risk whose irradiation is highly predictive of specific toxicity. The second interest is potentially to decrease the radio-induced toxicity by limiting the dose in the predictive subregions, while not decreasing the dose in the target volume. Limitations of the approach have been pointed out.

[Performance of an Ultrasound Based Endometriosis Staging System (UBESS) for predicting rectal involvement and type of surgical procedure in patients with digestive endometriosis]

OBJECTIVE

Preoperative assessment of rectal damage in digestive endometriosis requires rectal endoscopic ultra-sonography an invasive exam that is not well received by the patients. A standardized approach using an Ultrasound-Based Endometriosis Staging System (UBESS)could be an interesting tool in this indication. This article aims to evaluate the performance of UBESS in the prediction of rectal involvement and the type of surgical procedure.

MATERIALS AND METHODS

This monocentric retrospective study was conducted on patients with rectal endometriosis who underwent a curative surgical procedure, evaluated by UBESS ultrasound between January 2016 and December 2019 at the Poissy referral centre. The main analysis of the study was to assess the adequacy of the UBESS ultrasound stage, the presence of rectal involvement during surgery and the surgical technique required. The secondary objective was to determine the correlation between UBESS stages and RCOG levels of surgical difficulty.

RESULTS

A total of one hundred and twenty-two patients were included and one hundred were analysed. Of these, thirty-nine had rectal involvement. There was a statistically significant association between the UBESS stage and the presence of a digestive lesion(P<0.0001). The ultrasound's parameters of thickness(P=0.0007), width(P=0.0082) and volume(P=0.0013) of the digestive lesion were significantly correlated with the extent of the surgical procedure. The correlation between the UBESS and RCOG classifications was very weak.

CONCLUSION

UBESS is a powerful diagnostic tool for digestive damage allowing to give clear information to patients before surgery and optimizing the management plan of the surgery.

[Immunomonitoring of patients treated with CAR-T cells for hematological malignancy: Guidelines from the CARTi group and the Francophone Society of Bone Marrow Transplantation and Cellular Therapy (SFGM-TC)]

CAR-T cells represent a new anti-tumor immunotherapy which has shown its clinical efficacy in B-cell malignancies. The results of clinical trials carried out in this context have shown that certain immunological characteristics of patients before (at the time of apheresis) and after the administration of the treatment, or of the CAR-T cells themselves, are correlated with the response to the treatment or to its toxicity. However, to date, there are no recommendations on the immunological monitoring of patients treated in real life. The objectives of this workshop were to determine, based on data from the literature and the experience of the centers, the immunological analyses to be carried out in patients treated with CAR-T cells. The recommendations relate to the characterization of the patient's immune cells at the time of apheresis, the characterization of the injected CAR-T cells, as well as the monitoring of the CAR-T cells and other parameters of immune reconstitution in the patient after administration of the treatment. Harmonization of practices will allow clinical-biological correlation studies to be carried out in patients treated in real life with the aim of identifying factors predictive of response and toxicity. Such data could have a major medico-economic impact by making it possible to identify the patients who will optimally benefit from these expensive treatments.

A new model outperforming RPA and DS-GPA scores for individualized survival prediction of patients following whole brain irradiation for brain metastasis

PURPOSE

Survival after whole brain radiation therapy (WBRT) in patients with multiple brain metastases (BM) is currently predicted by group-based scoring systems with limited usability for decision. We aimed to develop a more relevant individualized predictive model than Radiation Therapy Oncology Group - Recursive Partitioning Analysis (RTOG-RPA) and Diagnosis - Specific Graded Prognostic Assessment (DS-GPA) for patients with limited life-expectancy.

METHODS

Based on a Discovery cohort of patients undergoing WBRT, multivariable piecewise Cox regression models with time cut-offs at 1 and 3 months were developed to predict overall survival (OS). A final parsimonious model was defined, and an external validation cohort was used to assess its discrimination and calibration at one, six, and 12 months.

RESULTS

In the 173-patient Discovery cohort, the majority of patients had primary lung cancer (56%), presence of extracranial disease (ECD) (75%), Eastern Cooperative Oncolgy Group - Performance Status (ECOG-PS) score 1 (41%) and no intracranial hypertension (ICH) (74%). Most patients were classified as the RPA class II (48%). The final piecewise Cox model was based on primary site, age, ECD, ECOG-PS and ICH. An external validation of the model was carried out using a cohort of 79 patients. Individualized survival estimates obtained with this model outperformed the RPA and DS-GPA scores for overall survival prediction at 1-month, 6-months and 12- months in both Discovery and Validation cohorts. A R/Shiny web application was developed to obtain individualized predictions for new patients, providing an easy-to-use tool for clinicians and researchers.

CONCLUSION

Our model provides individualized estimates of survival for poor prognosis patients undergoing WBRT, outperforming actual scoring systems.

[Predictors of catheter-related bladder discomfort]

INTRODUCTION

Establish a descriptive epidemiological profile of patients with Catheter Related Bladder Discomfort (CRBD) and identify its predictive factors.

MATERIAL AND METHOD

Between June 2019 and December 2019, 300 patients have been evaluated. Different parameters were taken into account including: sex, age, body mass index (BMI), historical health data, duration and indications of the urinary catheterization, type of the transurethral catheter used, lubrication of the catheter and the existence of CRBD. We grouped our patients according to the intensity of CRBD syndrome. The various factors likely to be correlated with the occurrence of CRBD were subject of a univariate then multivariate analysis.

RESULTS

300 patients were included. The average age was 49 years (133 men and 167 women). 68 patients (22.6%) had history of urinary catheterization. 19% of patients were catheterized for acute urinary retention, while 81% were catheterized before surgery. The average duration of the urinary catheterization was 2.5 days. 54% showed CRBD symptoms, including more than 92% on the first day of the urinary catheterization. The significant risk factors in multivariate analysis were: the caliber of the catheter ≥18 Fr, the absence of lubrication, laparotomy, age <50 years, Cesarean and urinary catheterization medical history.

CONCLUSION

This study identified various factors incriminated in the occurrence of CRBD. The role of the hospital practitioner is to prevent this syndrome by reducing predictive factors, particularly the technical ones.

LEVEL OF EVIDENCE

3.

[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data]

INTRODUCTION

Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to evaluate it early. The aim is to develop a method to predict the chemotherapy response using radiomics from pre-treatment MRI.

METHODS

Clinical characteristics and MRI of patients treated for local or metastatic osteosarcoma were collected retrospectively in the Rhône-Alpes region, from 2007 to 2016. On initial MRI exams, each tumor was segmented by expert radiologist and 87 radiomic features were extracted automatically. Univariate analysis was performed to assess each feature's association with histological response following neoadjuvante chemotherapy. To distinguish good histological responder from poor, we built predictive models based on support vector machines. Their classification performance was assessed with the area under operating characteristic curve receiver (AUROC) from test data.

RESULTS

The analysis focused on the MRIs of 69 patients, 55.1% (38/69) of whom were good histological responders. The model obtained by support vector machines from initial MRI radiomic data had an AUROC of 0.98, a sensitivity of 100% (IC 95% [100%-100%]) and specificity of 86% (IC 95% [59.7%-111%]).

DISCUSSION

Radiomic based on MRI data would predict the chemotherapy response before treatment initiation, in patients treated for osteosarcoma.

[Anal incontinence and obstetrical anal sphincter injuries, epidemiology and prevention]

Our main objectives were to identify risk factors, methods for early diagnosis, and prevention of obstetric anal sphincter injuries (OASIs), using a literature review. The main risk factors for OASIs are nulliparity, instrumental delivery, posterior presentation, median episiotomy, prolonged second phase of labor and fetal macrosomia. Asian origin, short ano-vulvar distance, ligamentous hyperlaxity, lack of expulsion control, non-visualization of the perineum or maneuvers for shoulder dystocia also appear to be risk factors. There is a risk of under-diagnosis of OASIs in the labor ward. Experience of the accoucheur is a protective factor. Secondary prevention is based on the training of birth professionals in recognition and repair of OASIs. Primary prevention of OASIs is based on training in the maneuvers of the second phase of labor; if possible, instrumental extractions should be avoided. Mediolateral episiotomy may have a preventive role in high-risk OASIs deliveries. A robust predictive model is still lacking to allow a selective use of episiotomy.

[Immune response and digestive cancers: Prognostic and therapeutic implications]

The aim of this article is to emphasize the impact of the immune response in digestive cancers, especially from colorectal (CRC) origin. In this setting, an adaptive lymphocytic infiltrate underlines the prognostic impact of the immune response, because it is associated to a favorable outcome. The next challenge will be to validate, in a prospective therapeutic trial, the integration of the immune response as decisional parameter for adjuvant therapy. The immune response is also a predictive parameter in microsatellite instable metastatic CRC, characterized by an adaptive lymphocytic infiltrate, leading to a very high response rate to immune therapies. However, prognostic and predictive biomarkers still need to be optimized in order to better select patients. These data are also valuable for digestive non-colorectal cancers, which are briefly analyzed. The methodology for the assessment of these prognostic and predictive biomarkers, which represents an important issue in precision medicine, is also discussed.

[Evaluation of the immune infiltrate in breast cancer]

Tumour-infiltrating lymphocytes (TIL) are major components of the immune/"inflammatory" infiltrate found in tumour microenvironment. They reflect the intensity and the quality of the immune reaction to cancer. In breast cancer, TIL density and phenotypic profile have been demonstrated to be predictive of response to neoadjuvant treatment and of patient outcome. TIL density, currently the best-developed TIL-related biomarker, is defined as the percentage of tumour stroma surface occupied by TIL. The baseline TIL density of 50% and higher is associated with particularly high rates of pathological complete response to neoadjuvant therapy in triple negative and HER2+ breast cancer, as well as with significantly better recurrence-free and overall survival. Similar predictive and prognostic value has been demonstrated for the ratio between the numbers of CD8+ and FoxP3+ TIL. TIL density and the CD8+/FoxP3+ ratio are promising biomarkers in breast cancer, which could be used in tailoring of neoadjuvant and adjuvant systemic therapy and in selection of patients for different immunotherapy modalities. This article reviews elements of the immune response to cancer, methods of TIL analysis, evidence of TIL' prognostic and predictive value in the current breast cancer management as well as the perspectives for use of TIL' characteristics as biomarkers in breast cancer immunotherapy.

[Genomic signature of breast cancer: The quest for the Holy Grail]

The role of molecular signatures in the adjuvant management of breast cancer remains a debated topic. Discussions should take into account the level of scientific validation, the impact on practice, the expected benefits and financing issues. This article presents the limits to be clarified before using commercial molecular signatures.

Intraoperative management of heart-lung interactions: "from hypothetical prediction to improved titration"

Extensive literature describes the suitability of dynamic parameters to predict responsiveness in fluid. However, based on heart-lung interactions, these parameters can have serious limitations, including the use of protective lung ventilation. Although the latter seems to be beneficial for healthy patients undergoing high-risk surgery, the intraoperative interpretation of dynamic parameters to predict fluid responsiveness can be hazardous. In this context, the attending physician could, alternatively, titrate the need of fluids with a small fluid challenge, which remains unaffected by low tidal volume, the presence of arrhythmia, or the presence of spontaneous ventilation. When intraoperative prediction of fluid responsiveness is required in mechanically ventilated patients, "improved" titration should be preferred to a hypothetical prediction.

[Brain imaging of first-episode psychosis]

In the last decades, schizophrenia has intensively been studied using various brain imaging techniques. However, several potential confounding factors limited their interpretation power (e.g. chronicity, the impact of antipsychotic medication). By considering psychosis as a continuum of changes starting from mild cognitive impairments to serious psychotic symptoms, it became possible to provide deeper insight in the neurobiological mechanisms underlying the onset of psychosis by focusing on at-risk individuals and first-episodes. Recent brain imaging meta-analyses of the first episode psychosis (FEP), noteworthy reported conjoint bilateral structural and functional differences at the level of the insula, the superior temporal gyrus and the medial frontal gyrus, encompassing the anterior cingulate cortex. In the present review, we thus provide an update of brain imaging studies of FEP with a particular emphasis on more recent anatomical, functional and molecular explorations. Specifically, we provide 1) a review of the common features observed in individuals with high risk for psychosis and changes characterizing the transition to psychosis, 2) a description of the environmental and drug factors influencing these abnormalities, 3) how these findings in FEP may differ from those observed in chronic individuals with schizophrenia, and 4) a short overview of new classification algorithms able to use MRI findings as valuable biomarkers to guide early detection in the prodromal phase of psychosis.