Prediction of Recurrent Cervical Cancer in 2-Year Follow-Up After Treatment Based on Quantitative and Qualitative Magnetic Resonance Imaging Parameters: A Preliminary Study

PURPOSE

This study investigated predictors of cervical cancer (CC) recurrence from native T1 mapping, conventional imaging, and clinicopathologic metrics.

PATIENTS AND METHODS

In total, 144 patients with histopathologically confirmed CC (90 with and 54 without surgical treatment) were enrolled in this prospective study. Native T1 relaxation time, conventional imaging, and clinicopathologic characteristics were acquired. The association of quantitative and qualitative parameters with post-treatment tumor recurrence was assessed using univariate and multivariate Cox proportional hazard regression analyses. Independent risk factors were combined into a model and individual prognostic index equation for predicting recurrence risk. The receiver operating characteristic (ROC) curve determined the optimal cutoff point.

RESULTS

In total, 12 of 90 (13.3%) surgically treated patients experienced tumor recurrence. Native T1 values (X1) [hazard ratio (HR) 1.008; 95% confidence interval (CI) 1.001-1.016], maximum tumor diameter (X2) (HR 1.065; 95% CI 1.020-1.113), and parametrial invasion (X3) (HR 3.930; 95% CI 1.013-15.251) were independent tumor recurrence risk factors. The individual prognostic index (PI) of the established recurrence risk model was PI = 0.008X1 + 0.063X2 + 1.369X3. The area under the ROC curve (AUC) of the Cox regression model was 0.923. A total of 20 of 54 (37.0%) non-surgical patients experienced tumor recurrence. Native T1 values (X1) (HR 1.012; 95% CI 1.007-1.016) and lymph node metastasis (X2) (HR 4.064; 95% CI 1.378-11.990) were independent tumor recurrence risk factors. The corresponding PI was calculated as follows: PI = 0.011X1 + 1.402X2; the Cox regression model AUC was 0.921.

CONCLUSIONS

Native T1 values combined with conventional imaging and clinicopathologic variables could facilitate the pretreatment prediction of CC recurrence.

Which factors predict parametrial involvement in stage IB cervical cancer? A Chinese multicentre study

OBJECTIVE

To explore the clinicopathological risk factors influencing parametrial involvement (PI) in stage IB cervical cancer patients and compare the oncological outcomes between Q-M type B radical hysterectomy (RH) group and Q-M type C RH group.

METHODS

Univariate and multivariate analyses were performed to explore the clinicopathological factors related to PI. Overall survival (OS) and disease-free survival (DFS) in patients with stage IB cervical cancer who underwent Q-M type B or Q-M type C RH under different circumstances of PI were also compared before and after propensity score matching (1:1 matching).

RESULTS

A total of 6358 patients were enrolled in this study. Depth of stromal invasion>1/2 (HR: 3.139, 95% CI: 1.550-6.360; P = 0.001), vaginal margin (+) (HR: 4.271, 95% CI: 1.368-13.156; P = 0.011), lymphovascular space invasion (LVSI) (+) (HR: 2.238, 95% CI: 1.353-3.701; P = 0.002) and lymph node metastases (HR: 5.173, 95% CI: 3.091-8.658; P < 0.001) were associated with PI. Among the 6273 patients with negative PI, those in the Q-M type B RH group had a higher 5-year OS and DFS than those in the Q-M type C RH group before and after 1:1 matching. Among the 85 patients with positive PI, Q-M type C RH showed no survival benefits before and after 1:1 matching.

CONCLUSION

Stage IB cervical cancer patients with no lymph node metastasis, LVSI(-) and depth of stromal invasion ≤1/2 may be considered for Q-M type B radical hysterectomy.

Novel prognostic nomograms in cervical cancer based on analysis of 1075 patients

OBJECTIVE

To explore the factors affecting the prognosis of cervical cancer (CC), and to construct and evaluate predictive nomograms to guide individualized clinical treatment.

METHODS

The clinicopathological and follow-up data of CC patients from June 2013 to December 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were retrospectively analyzed. Log-rank test was used for univariate survival analysis, and Cox multivariate regression was used to identify independent prognostic factors, based on which nomogram models were established and evaluated in multiple aspects.

RESULTS

Patients were randomly assigned into the training (n = 746) and validation sets (n = 329). Survival analysis of the training set identified cervical myometrial invasion, parametrial involvement, and malignant tumor history as prognosticators of postoperative DFS and pathological type, cervical myometrial invasion, and history of STD for OS. C-index was 0.799 and 0.839 for the nomograms for DFS and OS, respectively. Calibration curves and Brier scores also indicated high performance. Importantly, decision curve analysis suggested great clinical applicability of these nomograms.

CONCLUSIONS

In this study, we analyzed a cohort of 1075 CC patients and identified DFS- or OS-associated clinicohistologic characteristics. Two nomograms were subsequently constructed for DFS and OS prognostication, respectively, and showed high performance in terms of discrimination, calibration, and clinical applicability. These models may facilitate individualized treatment and patient selection for clinical trials. Future investigations with larger cohorts and prospective designs are warranted for validating these prognostic models.

What are the determinants of parametrial invasion in patients with early stage cervical cancer: A cross sectional study

Introduction

There was an increase in number of patients presented with early-stage cervical cancer (CC). Tumors with favorable pathological features might be candidates for less radical surgery.

Methods

We retrospectively reviewed 700 patients with histologically confirmed CC between January 2011 and March 2020. Chi-square, Fisher's exact tests and multivariate logistic regression analysis were used to assess relations between parametrial involvement (PI) and clinic-pathological variables.

Results

Total number of 132 patients with stage IA to IIA were eligible to participate. Squamous cell carcinoma was reported in 100 (75.8%) patients, adenocarcinoma and other tumor pathologies were found in 24(18.2%) and 8(6.1%), respectively. Considering the 2018 FIGO stage, 11 (8.4%) patients had IA, 111 (83%%) IB and 10 (7.6%) IIA. Nine patients (6.8%) had PI on permanent pathologic report. Univariate analysis demonstrated that following variables were statistically different between patients with and without PI: age ≥50, tumor size ≥ 3 cm, lower segment involvement, poorly differentiated pathology, deep stromal invasion, pelvic lymph node, lympho-vascular involvement and positive surgical margin (all p values < 0.05). Among these variables only tumor size ≥3 cm (OR: 2.1, 95% CI: 1.11–4.16, p value: 0.02), deep stromal invasion (OR: 2.2, 95% CI: 1.9–7.43, p value: 0.02) and positive surgical margin (OR: 5.1, 95% CI: 3.97–11.15, p value: 0.008) were independent risk factor of PI in multivariate analysis.

Conclusions

Early stage CC might be surgically approached in a more conservative manner if patients have tumor size <3 cm and do not have deep stromal invasion in conization.

•

The parametrium was resected, in order to remove occult disease at the time of extirpation of the primary cervical lesion.

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This study revealed, tumor size, deep stromal invasion and surgical margin were independent risk factors for parametrial invasion.

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Selected patients in early stages of cervical cancer are possible candidates to undergo a more conservative approach.

Data from small cell neuroendocrine carcinoma of the cervix: FIGO 2018 staging is more accurate than FIGO 2009

OBJECTIVE

To compare the prognostic value of International Federation of Gynecology and Obstetrics (FIGO) 2009 and 2018 staging systems in surgical patients with small cell neuroendocrine carcinoma of the cervix (SCNEC).

METHODS

We re-staged 64 surgical IB-IIA (FIGO 2009) SCNEC patients according to the FIGO 2018 system and refined stage IIIC of FIGO 2018 based on tumor local invasion. The prognostic factors were analyzed, and the advantages of FIGO 2018 were compared with 2009.

RESULTS

The 5-year overall survival rate (OS) was 78.5% for stage I and 22.2% for stage II (FIGO 2009). In FIGO 2018, there was no difference between stage I and II, and the 5-year OS was 74.1%, 60.2%, and 0% for stage I/II, IIIC1, and IIIC2. After combining stage IIIC with the local invasion stage (T1 was limited to the cervix and vagina; T2 involved the parametrium; T3 involved the pelvic or abdominal cavity), the 5-year OS for stage IIICT1, IIICT2, and IIICT3 was 83.3%, 30.0%, and 0%, respectively.

CONCLUSIONS

For stage II SCNEC patients, FIGO 2009 underestimated the prognosis, while FIGO 2018 was more accurate. For stage IIIC, FIGO 2018 might be more individualized and accurate after combining stage IIIC with tumor local invasion.

Nomogram Predicting Parametrial Involvement Based on the Radical Hysterectomy Specimens in the Early-Stage Cervical Cancer

Objective: Radical hysterectomy (RH) is the surgical standard for the treatment of the early-stage cervical cancer (CC). However, this procedure is associated with a high rate of adverse impact on the quality of the life of the patient. Since the rate of parametrial involvement (PI) is low for the patients with the early-stage CC, some authors believe that the patients with the early-stage CC may benefit from the less radical surgery. This study aims to estimate the incidence of the PI in the patients with the early-stage CC and establish a simple nomogram to identify a cohort of the patients with low risk of the PI who may benefit from the less radical surgery.

Methods: All the patients who underwent the RH and pelvic lymphadenectomy were included from 2013 to 2018. The significant independent predictors were identified through the Cox regression analysis and then incorporated into a nomogram to predicate the PI. The calibration plots and receiver operating characteristic (ROC) curves were used to assess the predictive accuracy of the nomogram.

Results: A total of 4,533 patients met the inclusion criteria and 441 women (9.7%) had the PI. The positive PI rate in the ≤2 cm group (1.2%) was significantly lower compared to >2– ≤4 cm (6.2%) or >4 cm (22.4%) groups. The multivariate analyses revealed that tumor size (p = 0.002), lymphovascular space invasion (LVSI) (p = 0.001), vaginal involvement (VI) (p < 0.001), status of the pelvic lymph nodes (PLNs) (p = 0.001), and depth of stromal invasion (DSI) (p < 0.001) were the independent prognostic factors of the PI. Finally, the five variables were combined to construct the nomogram model. The concordance indexes (C-indexes) of the PI were 0.756 (95% CI 0.726–0.786) for the internal validation and 0.729 (95% CI 0.678–0.780) for the external validation. The calibration plots further showed good consistency between the nomogram prediction and the actual observation.

Conclusion: This study confirmed that the patients with tumor size 2 cm or smaller were at very low risk for the PI. If other variables such as negative LVSI, DSI <50%, no VI, and negative PLN were limited, the risk would reduce significantly. Meanwhile, a simple nomogram based on the significant clinicopathological characteristics could be used as a tool for the clinicians to predict the PI among the patients with the early-stage CC, who might benefit from a less radical surgery.

Simple Hysterectomy for Patients with Stage IA2 Cervical Cancer: A Retrospective Cohort Study

Objective

The purpose of this study was to compare long-term survival outcomes of simple hysterectomy versus radical hysterectomy in stage IA2 cervical cancer.

Methods

A total of 440 patients who underwent simple hysterectomy (SH group) or radical hysterectomy (RH group) between 2014 and 2019 were included in this study. Overall survival (OS) and disease-free survival (DFS) were analyzed using the Kaplan–Meier method and compared by the Log rank test. The Cox proportional hazards regression model was employed to control for confounders.

Results

There were 258 patients in the RH group and 182 patients in the SH group. The two groups had similar 5-year DFS rate (89.25% vs 91.14%, P=0.562) and 5-year OS rate (95.71% vs 94.76%, P=0.482). Multivariable analysis showed that simple hysterectomy was not independently associated with poorer DFS (aHR, 1.608; 95% CI, 0.640–4.041; P=0.312) and OS (aHR, 1.122; 95% CI, 0.319–3.493; P=0.858) than radical hysterectomy for women with stage IA2 cervical cancer.

Conclusion

For stage IA2 cervical cancer, a simple hysterectomy is safe and effective. Further studies are needed to testify against our findings.

Pre-operative surgical algorithm: sentinel lymph node biopsy as predictor of parametrial involvement in early-stage cervical cancer

Introduction

Radical hysterectomy is the gold standard in the management of early-stage cervical cancer. Parametrectomy aims to remove occult disease but is associated with significant surgical morbidity. Avoiding unnecessary parametrectomy in a subset of patients at low risk of parametrial involvement may decrease the incidence of such morbidity. The purpose of this study was to identify patients at low risk of parametrial involvement in early-stage cervical cancer potentially eligible for less radical surgery based on pre-operative criteria and sentinel lymph node (SLN) status.

Methods

We performed an ancillary analysis of data from two prospective trials on sentinel node biopsy for cervical cancer (SENTICOL I and II). Patients with International Federation of Gynecology and Obstetrics (FIGO) IA–IIA cervical cancer who underwent primary radical surgery and bilateral SLN mapping were identified between 2005 and 2012 from 25 French oncologic centers. Patients who underwent pre-operative brachytherapy or did not undergo radical surgery (simple trachelectomy, simple hysterectomy, or lymph node staging only) were excluded.

Results

Of 174 patients who fullfiled the inclusion criteria, 9 patients (5.2%) had parametrial involvement and 24 patients (13.8%) had positive SLN. Most patients had 2018 FIGO stage IB1 disease (86.1%) and squamous cell carcinomas (68.9%). Parametrial involvement was significantly associated with tumor size ≥20 mm on pelvic magnetic resonance imaging (MRI) (adjusted odds ratio (ORa) 9.30, 95% CI 1.71 to 50.57, p=0.01) and micrometastic or macrometastatic SLN (ORa 8.98, 95% CI 1.59 to 50.84, p=0.01). Of 114 patients with tumors <20 mm on pre-operative MRI and negative SLN after ultrastaging, only one patient had parametrial involvement (0.9%). By triaging patients with both of these criteria in a two-step surgical procedure, unjustified and contra-indicated radical hysterectomy would have been avoided in 65.5% and 8.6% of cases, respectively.

Conclusions

Less radical surgery may be an option for patients with bilateral negative SLN after ultrastaging and tumors <20 mm. SLN status should be integrated into the decision-making process for tailored surgery in early-stage cervical cancer.

Nomogram Predicting the Likelihood of Parametrial Involvement in Early-Stage Cervical Cancer: Avoiding Unjustified Radical Hysterectomies

BACKGROUND

We aimed to establish a tool predicting parametrial involvement (PI) in patients with early-stage cervical cancer and select a sub-group of patients who would most benefit from a less radical surgery.

METHODS

We retrospectively reviewed patients from two prospective multicentric databases-SENTICOL I and II-from 2005 to 2012. Patients with early-stage cervical cancer (FIGO 2018 IA with lympho-vascular involvement to IIA1), undergoing radical surgery (hysterectomy or trachelectomy) with bilateral sentinel lymph node (SLN) mapping with no metastatic node or PI on pre-operative imaging, were included.

RESULTS

In total, 5.2% patients (11/211) presented a histologic PI. After univariate analysis, SLN status, lympho-vascular space invasion, deep stromal invasion and tumor size were significantly associated with PI and were included in our nomogram. Our predictive model had an AUC of 0.92 (IC95% = 0.86-0.98) and presented a good calibration. A low risk group, defined according to the optimal sensitivity and specificity, presented a predicted probability of PI of 2%.

CONCLUSION

Patients could benefit from a two-step approach. Final surgery (i.e. radical surgery and/or lymphadenectomy) would depend on the SLN status and the probability PI calculated after an initial conization with bilateral SLN mapping.

Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram

PURPOSE

To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).

MATERIALS AND METHODS

All 137 patients with ECC (FIGO stages IB-IIA) underwent T2WI and DWI scans before radical hysterectomy surgery. The radiomics signatures were calculated with the radiomics features which were extracted from T2WI and DWI and selected by the least absolute shrinkage and selection operation regression. The support vector machine (SVM) models were built using radiomics signatures derived from T2WI and joint T2WI and DWI respectively to evaluate the performance of radiomics signatures for distinguishing patients with PMI. A radiomics nomogram was drawn based on the radiomics signatures with a better performance, patient's age, and pathological grade; its discrimination and calibration performances were estimated.

RESULTS

For T2WI and joint T2WI and DWI, the radiomics signatures yielded an AUC of 0.797 (95% CI, 0.682-0.911) vs 0.946 (95% CI, 0.899-0.994), and 0.780 (95% CI, 0.641-0.920) vs 0.921 (95% CI, 0.832-1) respectively in the primary and validation cohorts. The radiomics nomogram, integrating the radiomics signatures from joint T2WI and DWI, patient's age, and pathological grade, showed excellent discrimination, with C-index values of 0.969 (95% CI, 0.933-1) and 0.941 (95% CI, 0.868-1) in the primary and validation cohorts, respectively. The calibration curve showed a good agreement.

CONCLUSIONS

The radiomics nomogram performed well for the preoperative prediction of PMI in patients with ECC and may be used as a supplementary tool to provide individualized treatment plans for patients with ECC.

KEY POINTS

• No previously reported study that has utilized radiomics nomogram to preoperatively predict PMI for patients with ECC. • Radiomics model involves radiomics features extracted from joint T2WI and DWI which characterize the heterogeneity between tumors in patients with ECC. • Radiomics nomogram can assist clinicians with individualized treatment decision-making for patients with ECC.

Preoperative Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio Are Not Clinically Useful in Predicting Prognosis in Early Stage Cervical Cancer

Background

An objective of this study was to determine the prognostic role of neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in patients with cervical cancer (CC) stages IA2-IB1.

Methods

The study included 484 patients who underwent radical hysterectomy with pelvic node dissection. The associations of preoperative NLR and PLR with clinicopathologic characteristics and oncological outcomes were analyzed. The cut-off values of NLR (=1.8) and PLR (=119) were set as medians.

Results

The clinicopathologic analysis showed that NLR was associated with age (p=0.010), tumor size (p=0.045), and adjuvant treatment (p=0.005), and PLR was associated with only adjuvant treatment (p=0.033). DFS and OS were not significantly different between patients with high and low NLR (p=0.670 and p=0.934) or high and low PLR (p=0.780 and p=0.306). The independent prognostic factors associated with OS were lymph node status and anemia, and with DFS were histology, deep stromal invasion, and lymph node status.

Conclusions

NLR and PLR have no use as prognostic biomarker for DFS and OS in early-stage CC. However, NLR and PLR might be of use in determining the risk for adjuvant treatment.

A retrospective pilot study of high-quality nursing care for cervical cancer

This retrospective pilot study investigated the feasible effect of high-quality nursing care (HQNC) for patients with cervical cancer (CC). A total of 58 patients with CC were included in this study. All patients were treated with routine care, and were divided into a treatment group and a control group, according to the different interventions they received. In addition, patients in the treatment group also received HQNC. The primary outcome of anxiety was measured by Beck Anxiety Inventory (BAI). The secondary outcomes were rumination, as measured by ruminative responses scale (RRS); and emotion, as measured by the Emotion Regulation Questionnaire (ERQ). All outcomes were measured before and after 4-week treatment. After treatment, patients in the treatment group showed better outcomes in anxiety, as evaluated by BAI scale (minimal, P = .04), rumination, as measured by RRS (P < .01), and emotion, as assessed by ERQ (P < .01), compared with patients in the control group. The results of this study demonstrated that HQNC might have positive effect in patients with CC after 4-week treatment.

Pretreatment neutrophil-lymphocyte and platelet-lymphocyte ratio predict clinical outcome and prognosis for cervical Cancer

Variations in systemic inflammatory response biomarker levels have been associated with adverse clinical outcome in various malignancies. In this study, we aimed to evaluate the predictive and prognostic role of the pretreatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in cervical cancer. We retrospectively investigated 616 patients who underwent initial radical hysterectomy with pelvic lymphadenectomy for cervical cancer between July 2012 and December 2014 in China. Their clinical and histopathological markers and complete blood counts were obtained and analyzed. Then we chose the group of 339 of the total 616 patients who were not combined preoperative radiotherapy or chemotherapy for the survival analysis. Prognostic factors were assessed by univariate and multivariate analyses. The ROC curve revealed NLR and PLR had significant ability to predict parametrial involvement, and the cutoff values for NLR and PLR were 2.5 and 138.8 respectively. Clinicopathologic analysis showed that NLR was linked to age, parametrial involvement, tumor-invasion depth and histologic grade, and PLR was related to age, parametrial involvement, tumor-invasion depth and FIGO stage. Univariate analysis identified high PLR as a significant poor predictor for progression-free survival (PFS) and overall survival (OS), and NLR exhibited no predict power on OS or PFS. Multivariable analysis showed that PLR was an independent predictor of PFS, but not OS. NLR and PLR were associated with the clinical characteristics of cervical cancer. Additionally, PLR had independence prognostic value for PFS in patients with cervical cancer receiving radical hysterectomy with pelvic lymphadenectomy.

Predictive Factors of Pelvic Lymph Node Metastasis in Early-Stage Cervical Cancer

BACKGROUND

Pelvic lymphadenectomy, which is the routine surgical treatment for early-stage cervical cancer, causes serious morbidity. The goal of the current retrospective study was to identify predictive factors of lymph node metastasis (LNM) in patients with early-stage cervical cancer.

PATIENTS AND METHODS

The study included 496 patients diagnosed with stages IA2-IB1cervical cancer who underwent a radical hysterectomy with pelvic lymphadenectomy. The predictive factors of LNM were evaluated.

RESULTS

The incidence of LNM in this study was 4.6%. LNM was more common in patients with deep stromal invasion (DSI), tumor size > 2 cm, lymph vascular invasion and parametrial involvement (PI). Multivariate analysis showed DSI (p = 0.010) and PI (p = 0.005) were independently associated with LNM. The median follow-up time was 56.9 months. The patients with LNM had poorer 5-year overall survival (77.8%; 95% confidence interval (CI) 44.2-92.6) than the patients without LNM (98.2%; 95% CI 95.6-99.2; p = 0.002) and also poorer 5-year recurrence-free survival (65.5%; 95% CI 38.6-82.8) than the patients without LNM (90.2%; 95% CI 86.5-92.9; p < 0.001).

CONCLUSION

The predictive factors of pelvic lymph node metastasis in stage IA2-IB1 cervical cancer patients were DSI and PI. LNM was associated with poorer oncological outcomes.

PBX3 is associated with proliferation and poor prognosis in patients with cervical cancer

Pre-B-cell leukemia homeobox 3 (PBX3) is upregulated in various malignancies; however, the role of PBX3 in cervical cancer (CC) is unknown. The purpose of this study was to explore the expression characteristics, clinicopathological significance, and molecular biological function of PBX3 in CC. The expression levels of PBX3 were analyzed in CC cell lines and tumor specimens by real-time polymerase chain reaction (RT-PCR), Western blotting, and immunohistochemical staining. The clinicopathological characteristics associated with PBX3 expression were evaluated. An RNA interference approach was employed to suppress PBX3 expression in CC in vitro and in vivo, determine its role in cell proliferation and analyze its molecular function. We found that PBX3 expression was significantly upregulated in CC cell lines and clinical specimens compared with normal cells and adjacent nontumorous cervical tissues. PBX3 was an independent predictive factor of poor prognosis, and its expression was correlated with tumor diameter, pathological grading, lymph node metastasis, invasion depth, vascular invasion, and clinical stage of CC. Multivariate analysis suggested that PBX3 expression may represent an independent prognostic indicator of the survival of CC patients. CC patients with high PBX3 expression exhibited reduced overall survival compared with those with low PBX3 expression. Additionally, stable downregulation of PBX3 expression in CC cell lines suppressed cell proliferation and decreased p-AKT protein expression levels in vitro. Similarly, in vivo assays demonstrated that PBX3 downregulation in CC cells markedly inhibited tumor size and weight. Overall, we demonstrated that PBX3 can promote CC cell proliferation via the AKT signaling pathway and that it may serve as a prognostic marker. Our data indicate that inactivation of PBX3 may be an effective clinical treatment for CC.

Effects of Intrinsic and Extrinsic Factors on the Level of Hope and Psychological Health Status of Patients with Cervical Cancer During Radiotherapy

Background

This study aimed to explore the factors affecting the level of hope and psychological health status of patients with cervical cancer (CC) during radiotherapy.

Material/Methods

A total of 480 CC patients were recruited. Psychological distress scale, Herth hope index, functional assessment cancer therapy-cervix, and Jolowiec coping scale were used to conduct surveys on psychological distress, level of hope, quality of life (QOL), and coping style to analyze the factors affecting the level of hope and psychological health status of CC patients.

Results

The morbidity of significant psychological distress in 480 CC patients during radiotherapy was 68%, and the main factors causing psychological distress were emotional problems and physical problems. During radiotherapy, most patients had middle and high levels of hope, and the psychological distress index of patients was negatively correlated with the level of hope. The QOL of CC patients during radiotherapy were at middle and high levels, and the QOL was positively correlated with confrontment, optimism, appeasement, and self-reliance, but it was negatively correlated with predestination and emotional expression.

Conclusions

For CC patients during radiotherapy, the morbidity of psychological distress was high, but they were at middle and high levels of hope.